Artificial Intelligence In Supply Chain Management Market By Offering (Hardware, Software (Cloud, On Premise), Services (Training and Consulting, Implementation and Maintenance, Design and Development, Others)); By Organization Size (Small and Medium Enterprises, Large Enterprises); By End-User (Healthcare and Pharmaceutical, Transportation and Logistics, Manufacturing, Automotive, Agriculture, Aerospace and Defence, Food and Beverages, Defence and Aerospace, Retail and Consumer Goods, Others);By Technology(Machine Learning, Natural Language Processing, Computer Vision, Others); By Application (Fleet Management, Warehouse Management, Customer Relationship Management, Supply Chain Visibility, Risk Analysis, Quality and Compliance , Robotic Automation, Sourcing and Supply Management, Route Optimization, Others); By Region (U.S., Canada, Mexico, Rest of North America, The UK, France, Germany, Italy, Spain, Nordic Countries (Denmark, Finland, Iceland, Sweden, Norway), Benelux Union (Belgium, the Netherlands, Luxembourg), Rest of Europe, China, Japan, India, New Zealand, Australia, South Korea, Southeast Asia (Indonesia, Thailand, Malaysia, Singapore, Rest of Southeast Asia), Saudi Arabia, UAE, Egypt, Kuwait, South Africa, Rest of Middle East & Africa, Brazil, Argentina, Rest of Latin America) – Global Insights, Growth, Size, Comparative Analysis, Trends and Forecast, 2020 - 2028
Industry Trends
Trying to find an equilibrium point between supply and demand is a huge part of ensuring that a business is profitable. In industries such as manufacturing and consumer goods, the procurement of raw materials and the transport of finished products needs to be carried out efficiently. Improper management of material transportation leads to considerable losses to the businesses. Supply chain management deals with the flow of goods, as well as services, and the processes that transform raw materials into finished products which can be used by businesses or consumers. Studies show that around 79% of the companies that have an efficient and well-defined supply chain management system were expected to show revenue growth faster than their competitors within the same industry. Furthermore, around 25% of the B2B e-commerce companies identified cutting down delivery costs forms the biggest challenge in supply chain management. Supply chain management software that simplifies and optimizes the transfer of goods and services, and helps in the management of supply chain professionals is being increasingly used across industries. However, with the advent of artificial intelligence, supply chain management has become less complex due to the automation of mundane tasks, thereby cutting down human costs, thus propelling the demand for artificial intelligence in supply chain management market. Artificial intelligence algorithms have the potential to learn by themselves, which in turn helps in rectifying and minimizing human errors in supply chain. Inventory management, for instance, can be achieved with ease with AI, since the algorithms keep track of product stocks and notifies the stakeholders when the supply is getting depleted. Around 61% of the businesses were able to reduce costs pertaining to supply chain after the introduction of artificial intelligence in supply chain handling. As a result of large scale globalization, Multi National Corporations are operating several channels of sourcing, production, and distribution, which makes the IT infrastructure incredibly complex. Smart allocation options through artificial intelligence is reducing the burden on traditional IT systems in handling supply chain allocation. Furthermore, the proliferation of customer data as a result of the rapid rise in smart devices and the internet is forcing the companies to introduce AI in their supply chain systems, since AI technology helps in the structuring of complex data sets. Valuable insights related to supply chain handling, and the identification of channels that require optimization can be performed with the help of AI. Thus, the increasing demand for reducing the complexity in handling supply chain processes, and supply chain costs, is leading to the growth of the global artificial intelligence in supply chain management market.
The COVID-19 pandemic has affected business operations across the globe. Companies are being forced to alter their strategies, and supply chain processes have taken a massive hit. There has also been a dearth in the workforce as government bodies in countries like the U.S., the UK, India, etc., has enforced social distancing measures to curb the spread of the virus. Furthermore, the companies are forced to take added care in handling products from various channels, and disinfect them before they reach the stores or other businesses. AI has the potential to provide solutions for this predicament that is being faced by the business. Thermal cameras using computer vision can help in the detection of elevated temperature of employees in supply chain warehouses. Also, higher degree of automation that helps in reducing the need for employees is also being made possible with the help of AI. Robotic process automation in warehouses is helping the companies in cargo picking, sorting, shelving and packing, amongst others. AI-based cameras can also identify faults in packaging or manufacturing. Logivations GmbH, for instance, provides AI-based systems that helps in automated detection of labels using barcode technology for optimizing supply chain handling. Hence, the COVID-19 pandemic is expected to have a positive impact on the global artificial intelligence in supply chain management market in the coming years.
In terms of revenue, global artificial intelligence in supply chain management market was valued at US$ 1549.51 Mn in 2019 and is anticipated to grow at a CAGR of 25.12% over the forecast period. The study analyses the market in terms of revenue across all the major regions, which have been bifurcated into countries.
Global Artificial Intelligence in Supply Chain Management Market Revenue & Forecast, (US$ Million), 2015 – 2028
Application Outlook:
Robotic automation in supply chain management is expected to see a significant growth during the forecast years in the global artificial intelligence in supply chain management market. The market participants are increasingly offering robotic automation solutions that help in reducing supply chain costs by increasing efficiency. Aera Technology, for instance, helps in the optimization of shipping networks by identifying opportunities for faster transportation, removal of bottlenecks in supply chains, and automating shipment delay resolution which ensures that the shipment reaches the customers on time. Forecast models by leveraging machine learning technology can also be obtained using Aera's AI solution. The ability of AI-based cameras in identifying faulty packages or products is leading to the growth of robotic automation segment in the global artificial intelligence in supply chain management market.
Region Outlook:
Based on the regions, North America accounted for the largest revenue share in the global artificial intelligence in supply chain management market in 2019. The presence of prominent market participants such as Accenture, Infor, IBM Corporation, Microsoft, etc., coupled with the increasing supply chain modernization efforts amongst the end-users is a major reason for the higher market share of North America. However, the APAC region is expected to highest growth during the forecast years in the global artificial intelligence in supply chain management market. Countries such as India, China and Malaysia have a well-defined logistics network, and these companies are incorporating AI solutions in supply chain. Furthermore, the immense focus on indigenous manufacturing in China as a result of government initiatives to promote the same is leading to the greater adoption of AI for supply chain optimization in the country. The growth of both B2B and B2C sales channel in China is paving way for the increasing use of AI in inventory management. Computer vision cameras and mobile robots are also being utilized in warehouses for product handling, especially after the outbreak of the Coronavirus pandemic. China accounted for the highest revenue share amongst the APAC countries in 2019. Chinese E-commerce giant Alibaba is also entering the market through their cloud offerings. Cainiao, Alibaba Group's logistics arm, leverages the machine learning algorithms from Alibaba Cloud to calculate the effectiveness and efficiency of their delivery service. These factors are expected to propel China's share in the global artificial intelligence in supply chain management market.
Competitive Landscape:
The report provides both, qualitative and quantitative research of artificial intelligence in supply chain management market, as well as provides comprehensive insights and development methods adopted by the key contenders. The report also offers extensive research on the key players in this market and details on the competitiveness of these players. Key business strategies such as mergers and acquisitions (M&A), affiliations, collaborations, and contracts adopted by these major market participants are also recognized and analysed in the report. For each company, the report studies their global presence, competitors, service offerings and specification amongst others.
Some of the players operating in the artificial intelligence in supply chain management market are :o9 Solutions, Inc., Accenture, ADLINK Technology Inc., Aera Technology, Amazon Web Services, Inc., American Software, Inc. (Logility), Atos SE, C3.ai, Inc., Dematic, Hangzhou Hikvision Digital Technology Co.,Ltd., IBM Corporation, Infor, Infosys Limited, LLamasoft Inc. , Microsoft, NVIDIA Corporation, Oracle, SAP SE, Wipro Limited, ZETES, , amongst others.
Global Artificial Intelligence In Supply Chain Management Market:
- By Offering
- Hardware
- Software
- Cloud
- On Premise
- Services
- Training and Consulting
- Implementation and Maintenance
- Design and Development
- Others
- By Organization Size
- Small and Medium Enterprises
- Large Enterprises
- By End-User
- Healthcare and Pharmaceutical
- Transportation and Logistics
- Manufacturing
- Automotive
- Agriculture
- Aerospace and Defence
- Food and Beverages
- Defence and Aerospace
- Retail and Consumer Goods
- Others
- By Technology
- Machine Learning
- Natural Language Processing
- Computer Vision
- Others
- By Application
- Fleet Management
- Warehouse Management
- Customer Relationship Management
- Supply Chain Visibility
- Risk Analysis
- Quality and Compliance
- Robotic Automation
- Sourcing and Supply Management
- Route Optimization
- Others
- By Region
- North America
- U.S.
- Canada
- Mexico
- Rest of North America
- Europe
- France
- The UK
- Spain
- Germany
- Italy
- Nordic Countries
- Denmark
- Finland
- Iceland
- Sweden
- Norway
- Benelux Union
- Belgium
- The Netherlands
- Luxembourg
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- New Zealand
- Australia
- South Korea
- Southeast Asia
- Indonesia
- Thailand
- Malaysia
- Singapore
- Rest of Southeast Asia
- Rest of Asia Pacific
- Middle East & Africa
- Saudi Arabia
- UAE
- Egypt
- Kuwait
- South Africa
- Rest of Middle East & Africa
- Latin America
- Brazil
- Argentina
- Rest of Latin America
- North America
Table of Contents
1. Market
Scope
1.1. Market
Segmentation
1.2. Years
Considered
1.2.1. Historic
Years: 2015 - 2018
1.2.2. Base
Year: 2019
1.2.3. Forecast
Years: 2020 – 2028
2. Key Target
Audiences
3. Research
Methodology
3.1. Primary
Research
3.1.1. Research
Questionnaire
3.1.2. Global
Percentage Breakdown
3.1.3. Primary
Interviews: Key Opinion Leaders (KOLs)
3.2. Secondary
Research
3.2.1. Paid
Databases
3.2.2. Secondary
Sources
3.3. Market
Size Estimates
3.3.1. Top-Down
Approach
3.3.2. Bottom-Up
Approach
3.4. Data
Triangulation Methodology
3.5. Research
Assumptions
4. Recommendations
and Insights from AMI’s Perspective**
5. Holistic
Overview of Artificial Intelligence in Supply Chain Management Market
6. Market
Synopsis: Artificial Intelligence in
Supply Chain Management Market
7. Artificial
Intelligence in Supply Chain Management Market Analysis: Qualitative Perspective
7.1. Introduction
7.1.1. Product
Definition
7.1.2. Industry
Development
7.2. Market
Dynamics
7.2.1. Drivers
7.2.2. Restraints
7.2.3. Opportunities
7.3. Trends in
Artificial Intelligence in Supply Chain Management Market
7.4. Market
Determinants Radar Chart
7.5. Macro-Economic
and Micro-Economic Indicators: Artificial Intelligence in Supply Chain
Management Market
7.6. Impact of
Covid-19 on Artificial Intelligence in Supply Chain Management Market
8. Global
Artificial Intelligence in Supply Chain Management Market Analysis and
Forecasts, 2020 – 2028
8.1. Overview
8.1.1. Global Artificial
Intelligence in Supply Chain Management Market Revenue (US$ Mn)
8.2. Global
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Offering
8.2.1. Hardware
8.2.1.1. Definition
8.2.1.2. Market
Estimation and Penetration, 2015 – 2019
8.2.1.3. Market
Forecast, 2020 – 2028
8.2.1.4. Compound
Annual Growth Rate (CAGR)
8.2.1.5. Regional
Bifurcation
8.2.1.5.1. North
America
8.2.1.5.1.1. Market
Estimation, 2015 – 2019
8.2.1.5.1.2. Market
Forecast, 2020 – 2028
8.2.1.5.2. Europe
8.2.1.5.2.1. Market
Estimation, 2015 – 2019
8.2.1.5.2.2. Market
Forecast, 2020 – 2028
8.2.1.5.3. Asia
Pacific
8.2.1.5.3.1. Market
Estimation, 2015 – 2019
8.2.1.5.3.2. Market
Forecast, 2020 – 2028
8.2.1.5.4. Middle
East and Africa
8.2.1.5.4.1. Market
Estimation, 2015 – 2019
8.2.1.5.4.2. Market
Forecast, 2020 – 2028
8.2.1.5.5. Latin
America
8.2.1.5.5.1. Market
Estimation, 2015 – 2019
8.2.1.5.5.2. Market
Forecast, 2020 – 2028
8.2.2. Software
(Definition, Market Estimation and Penetration, 2015 – 2019, Market Estimation
(2015 – 2019), Market Forecast (2020 – 2028), Compound Annual Growth Rate
(CAGR), Regional Bifurcation (North America, Europe, Asia Pacific, Middle East
and Africa, Latin America) and Information on Cloud, On Premise)
8.2.2.1. Cloud
8.2.2.2. On
Premise
8.2.3. Services
(Definition, Market Estimation and Penetration, 2015 – 2019, Market Estimation
(2015 – 2019), Market Forecast (2020 – 2028), Compound Annual Growth Rate
(CAGR), Regional Bifurcation (North America, Europe, Asia Pacific, Middle East
and Africa, Latin America) and Information on Training and Consulting,
Implementation and Maintenance, Design and Development, Others)
8.2.3.1. Training
and Consulting
8.2.3.2. Implementation
and Maintenance
8.2.3.3. Design
and Development
8.2.3.4. Others
8.3. Key
Segment for Channeling Investments
8.3.1. By
Offering
9. Global
Artificial Intelligence in Supply Chain Management Market Analysis and
Forecasts, 2020 – 2028
9.1. Overview
9.2. Global
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Organization Size
9.2.1. Small
and Medium Enterprises
9.2.1.1. Definition
9.2.1.2. Market
Estimation and Penetration, 2015 – 2019
9.2.1.3. Market
Forecast, 2020 – 2028
9.2.1.4. Compound
Annual Growth Rate (CAGR)
9.2.1.5. Regional
Bifurcation
9.2.1.5.1. North
America
9.2.1.5.1.1. Market
Estimation, 2015 – 2019
9.2.1.5.1.2. Market
Forecast, 2020 – 2028
9.2.1.5.2. Europe
9.2.1.5.2.1. Market
Estimation, 2015 – 2019
9.2.1.5.2.2. Market
Forecast, 2020 – 2028
9.2.1.5.3. Asia
Pacific
9.2.1.5.3.1. Market
Estimation, 2015 – 2019
9.2.1.5.3.2. Market
Forecast, 2020 – 2028
9.2.1.5.4. Middle
East and Africa
9.2.1.5.4.1. Market
Estimation, 2015 – 2019
9.2.1.5.4.2. Market
Forecast, 2020 – 2028
9.2.1.5.5. Latin
America
9.2.1.5.5.1. Market
Estimation, 2015 – 2019
9.2.1.5.5.2. Market
Forecast, 2020 – 2028
9.2.2. Large
Enterprises
9.2.2.1. Definition
9.2.2.2. Market
Estimation and Penetration, 2015 – 2019
9.2.2.3. Market
Forecast, 2020 – 2028
9.2.2.4. Compound
Annual Growth Rate (CAGR)
9.2.2.5. Regional
Bifurcation
9.2.2.5.1. North
America
9.2.2.5.1.1. Market
Estimation, 2015 – 2019
9.2.2.5.1.2. Market
Forecast, 2020 – 2028
9.2.2.5.2. Europe
9.2.2.5.2.1. Market
Estimation, 2015 – 2019
9.2.2.5.2.2. Market
Forecast, 2020 – 2028
9.2.2.5.3. Asia
Pacific
9.2.2.5.3.1. Market
Estimation, 2015 – 2019
9.2.2.5.3.2. Market
Forecast, 2020 – 2028
9.2.2.5.4. Middle
East and Africa
9.2.2.5.4.1. Market
Estimation, 2015 – 2019
9.2.2.5.4.2. Market
Forecast, 2020 – 2028
9.2.2.5.5. Latin
America
9.2.2.5.5.1. Market
Estimation, 2015 – 2019
9.2.2.5.5.2. Market
Forecast, 2020 – 2028
9.3. Key
Segment for Channeling Investments
9.3.1. By
Organization Size
10. Global
Artificial Intelligence in Supply Chain Management Market Analysis and Forecasts,
2020 – 2028
10.1. Overview
10.2. Global
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By End-User
10.2.1. Healthcare
10.2.1.1. Definition
10.2.1.2. Market
Estimation and Penetration, 2015 – 2019
10.2.1.3. Market
Forecast, 2020 – 2028
10.2.1.4. Compound
Annual Growth Rate (CAGR)
10.2.1.5. Regional
Bifurcation
10.2.1.5.1. North
America
10.2.1.5.1.1. Market
Estimation, 2015 – 2019
10.2.1.5.1.2. Market
Forecast, 2020 – 2028
10.2.1.5.2. Europe
10.2.1.5.2.1. Market
Estimation, 2015 – 2019
10.2.1.5.2.2. Market
Forecast, 2020 – 2028
10.2.1.5.3. Asia
Pacific
10.2.1.5.3.1. Market
Estimation, 2015 – 2019
10.2.1.5.3.2. Market
Forecast, 2020 – 2028
10.2.1.5.4. Middle
East and Africa
10.2.1.5.4.1. Market
Estimation, 2015 – 2019
10.2.1.5.4.2. Market
Forecast, 2020 – 2028
10.2.1.5.5. Latin
America
10.2.1.5.5.1. Market
Estimation, 2015 – 2019
10.2.1.5.5.2. Market
Forecast, 2020 – 2028
10.2.2. Transportation
and Logistics
10.2.2.1. Definition
10.2.2.2. Market
Estimation and Penetration, 2015 – 2019
10.2.2.3. Market
Forecast, 2020 – 2028
10.2.2.4. Compound
Annual Growth Rate (CAGR)
10.2.2.5. Regional
Bifurcation
10.2.2.5.1. North
America
10.2.2.5.1.1. Market
Estimation, 2015 – 2019
10.2.2.5.1.2. Market
Forecast, 2020 – 2028
10.2.2.5.2. Europe
10.2.2.5.2.1. Market
Estimation, 2015 – 2019
10.2.2.5.2.2. Market
Forecast, 2020 – 2028
10.2.2.5.3. Asia
Pacific
10.2.2.5.3.1. Market
Estimation, 2015 – 2019
10.2.2.5.3.2. Market
Forecast, 2020 – 2028
10.2.2.5.4. Middle
East and Africa
10.2.2.5.4.1. Market
Estimation, 2015 – 2019
10.2.2.5.4.2. Market
Forecast, 2020 – 2028
10.2.2.5.5. Latin
America
10.2.2.5.5.1. Market
Estimation, 2015 – 2019
10.2.2.5.5.2. Market
Forecast, 2020 – 2028
10.2.3. Manufacturing
10.2.3.1. Definition
10.2.3.2. Market
Estimation and Penetration, 2015 – 2019
10.2.3.3. Market
Forecast, 2020 – 2028
10.2.3.4. Compound
Annual Growth Rate (CAGR)
10.2.3.5. Regional
Bifurcation
10.2.3.5.1. North
America
10.2.3.5.1.1. Market
Estimation, 2015 – 2019
10.2.3.5.1.2. Market
Forecast, 2020 – 2028
10.2.3.5.2. Europe
10.2.3.5.2.1. Market
Estimation, 2015 – 2019
10.2.3.5.2.2. Market
Forecast, 2020 – 2028
10.2.3.5.3. Asia
Pacific
10.2.3.5.3.1. Market
Estimation, 2015 – 2019
10.2.3.5.3.2. Market
Forecast, 2020 – 2028
10.2.3.5.4. Middle
East and Africa
10.2.3.5.4.1. Market
Estimation, 2015 – 2019
10.2.3.5.4.2. Market
Forecast, 2020 – 2028
10.2.3.5.5. Latin
America
10.2.3.5.5.1. Market
Estimation, 2015 – 2019
10.2.3.5.5.2. Market
Forecast, 2020 – 2028
10.2.4. Automotive
10.2.4.1. Definition
10.2.4.2. Market
Estimation and Penetration, 2015 – 2019
10.2.4.3. Market
Forecast, 2020 – 2028
10.2.4.4. Compound
Annual Growth Rate (CAGR)
10.2.4.5. Regional
Bifurcation
10.2.4.5.1. North
America
10.2.4.5.1.1. Market
Estimation, 2015 – 2019
10.2.4.5.1.2. Market
Forecast, 2020 – 2028
10.2.4.5.2. Europe
10.2.4.5.2.1. Market
Estimation, 2015 – 2019
10.2.4.5.2.2. Market
Forecast, 2020 – 2028
10.2.4.5.3. Asia
Pacific
10.2.4.5.3.1. Market
Estimation, 2015 – 2019
10.2.4.5.3.2. Market
Forecast, 2020 – 2028
10.2.4.5.4. Middle
East and Africa
10.2.4.5.4.1. Market
Estimation, 2015 – 2019
10.2.4.5.4.2. Market
Forecast, 2020 – 2028
10.2.4.5.5. Latin
America
10.2.4.5.5.1. Market
Estimation, 2015 – 2019
10.2.4.5.5.2. Market
Forecast, 2020 – 2028
10.2.5. Agriculture
10.2.5.1. Definition
10.2.5.2. Market
Estimation and Penetration, 2015 – 2019
10.2.5.3. Market
Forecast, 2020 – 2028
10.2.5.4. Compound
Annual Growth Rate (CAGR)
10.2.5.5. Regional
Bifurcation
10.2.5.5.1. North
America
10.2.5.5.1.1. Market
Estimation, 2015 – 2019
10.2.5.5.1.2. Market
Forecast, 2020 – 2028
10.2.5.5.2. Europe
10.2.5.5.2.1. Market
Estimation, 2015 – 2019
10.2.5.5.2.2. Market
Forecast, 2020 – 2028
10.2.5.5.3. Asia
Pacific
10.2.5.5.3.1. Market
Estimation, 2015 – 2019
10.2.5.5.3.2. Market
Forecast, 2020 – 2028
10.2.5.5.4. Middle
East and Africa
10.2.5.5.4.1. Market
Estimation, 2015 – 2019
10.2.5.5.4.2. Market
Forecast, 2020 – 2028
10.2.5.5.5. Latin
America
10.2.5.5.5.1. Market
Estimation, 2015 – 2019
10.2.5.5.5.2. Market
Forecast, 2020 – 2028
10.2.6. Aerospace
and Defence
10.2.6.1. Definition
10.2.6.2. Market
Estimation and Penetration, 2015 – 2019
10.2.6.3. Market
Forecast, 2020 – 2028
10.2.6.4. Compound
Annual Growth Rate (CAGR)
10.2.6.5. Regional
Bifurcation
10.2.6.5.1. North
America
10.2.6.5.1.1. Market
Estimation, 2015 – 2019
10.2.6.5.1.2. Market
Forecast, 2020 – 2028
10.2.6.5.2. Europe
10.2.6.5.2.1. Market
Estimation, 2015 – 2019
10.2.6.5.2.2. Market
Forecast, 2020 – 2028
10.2.6.5.3. Asia
Pacific
10.2.6.5.3.1. Market
Estimation, 2015 – 2019
10.2.6.5.3.2. Market
Forecast, 2020 – 2028
10.2.6.5.4. Middle
East and Africa
10.2.6.5.4.1. Market
Estimation, 2015 – 2019
10.2.6.5.4.2. Market
Forecast, 2020 – 2028
10.2.6.5.5. Latin
America
10.2.6.5.5.1. Market
Estimation, 2015 – 2019
10.2.6.5.5.2. Market
Forecast, 2020 – 2028
10.2.7. Food
and Beverages
10.2.7.1. Definition
10.2.7.2. Market
Estimation and Penetration, 2015 – 2019
10.2.7.3. Market
Forecast, 2020 – 2028
10.2.7.4. Compound
Annual Growth Rate (CAGR)
10.2.7.5. Regional
Bifurcation
10.2.7.5.1. North
America
10.2.7.5.1.1. Market
Estimation, 2015 – 2019
10.2.7.5.1.2. Market
Forecast, 2020 – 2028
10.2.7.5.2. Europe
10.2.7.5.2.1. Market
Estimation, 2015 – 2019
10.2.7.5.2.2. Market
Forecast, 2020 – 2028
10.2.7.5.3. Asia
Pacific
10.2.7.5.3.1. Market
Estimation, 2015 – 2019
10.2.7.5.3.2. Market
Forecast, 2020 – 2028
10.2.7.5.4. Middle
East and Africa
10.2.7.5.4.1. Market
Estimation, 2015 – 2019
10.2.7.5.4.2. Market
Forecast, 2020 – 2028
10.2.7.5.5. Latin
America
10.2.7.5.5.1. Market
Estimation, 2015 – 2019
10.2.7.5.5.2. Market
Forecast, 2020 – 2028
10.2.8. Aerospace
and Defense
10.2.8.1. Definition
10.2.8.2. Market
Estimation and Penetration, 2015 – 2019
10.2.8.3. Market
Forecast, 2020 – 2028
10.2.8.4. Compound
Annual Growth Rate (CAGR)
10.2.8.5. Regional
Bifurcation
10.2.8.5.1. North
America
10.2.8.5.1.1. Market
Estimation, 2015 – 2019
10.2.8.5.1.2. Market
Forecast, 2020 – 2028
10.2.8.5.2. Europe
10.2.8.5.2.1. Market
Estimation, 2015 – 2019
10.2.8.5.2.2. Market
Forecast, 2020 – 2028
10.2.8.5.3. Asia
Pacific
10.2.8.5.3.1. Market
Estimation, 2015 – 2019
10.2.8.5.3.2. Market
Forecast, 2020 – 2028
10.2.8.5.4. Middle
East and Africa
10.2.8.5.4.1. Market
Estimation, 2015 – 2019
10.2.8.5.4.2. Market
Forecast, 2020 – 2028
10.2.8.5.5. Latin
America
10.2.8.5.5.1. Market
Estimation, 2015 – 2019
10.2.8.5.5.2. Market
Forecast, 2020 – 2028
10.2.9. Retail
and Consumer Goods
10.2.9.1. Definition
10.2.9.2. Market
Estimation and Penetration, 2015 – 2019
10.2.9.3. Market
Forecast, 2020 – 2028
10.2.9.4. Compound
Annual Growth Rate (CAGR)
10.2.9.5. Regional
Bifurcation
10.2.9.5.1. North
America
10.2.9.5.1.1. Market
Estimation, 2015 – 2019
10.2.9.5.1.2. Market
Forecast, 2020 – 2028
10.2.9.5.2. Europe
10.2.9.5.2.1. Market
Estimation, 2015 – 2019
10.2.9.5.2.2. Market
Forecast, 2020 – 2028
10.2.9.5.3. Asia
Pacific
10.2.9.5.3.1. Market
Estimation, 2015 – 2019
10.2.9.5.3.2. Market
Forecast, 2020 – 2028
10.2.9.5.4. Middle
East and Africa
10.2.9.5.4.1. Market
Estimation, 2015 – 2019
10.2.9.5.4.2. Market
Forecast, 2020 – 2028
10.2.9.5.5. Latin
America
10.2.9.5.5.1. Market
Estimation, 2015 – 2019
10.2.9.5.5.2. Market
Forecast, 2020 – 2028
10.2.10. Others
10.2.10.1. Definition
10.2.10.2. Market
Estimation and Penetration, 2015 – 2019
10.2.10.3. Market
Forecast, 2020 – 2028
10.2.10.4. Compound
Annual Growth Rate (CAGR)
10.2.10.5. Regional
Bifurcation
10.2.10.5.1. North
America
10.2.10.5.1.1. Market
Estimation, 2015 – 2019
10.2.10.5.1.2. Market
Forecast, 2020 – 2028
10.2.10.5.2. Europe
10.2.10.5.2.1. Market
Estimation, 2015 – 2019
10.2.10.5.2.2. Market
Forecast, 2020 – 2028
10.2.10.5.3. Asia
Pacific
10.2.10.5.3.1. Market
Estimation, 2015 – 2019
10.2.10.5.3.2. Market
Forecast, 2020 – 2028
10.2.10.5.4. Middle
East and Africa
10.2.10.5.4.1. Market
Estimation, 2015 – 2019
10.2.10.5.4.2. Market
Forecast, 2020 – 2028
10.2.10.5.5. Latin
America
10.2.10.5.5.1. Market
Estimation, 2015 – 2019
10.2.10.5.5.2. Market
Forecast, 2020 – 2028
10.3. Key
Segment for Channeling Investments
10.3.1. By
End-User
11. Global
Artificial Intelligence in Supply Chain Management Market Analysis and
Forecasts, 2020 – 2028
11.1. Overview
11.2. Global
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Technology
11.2.1. Machine
Learning
11.2.1.1. Definition
11.2.1.2. Market
Estimation and Penetration, 2015 – 2019
11.2.1.3. Market
Forecast, 2020 – 2028
11.2.1.4. Compound
Annual Growth Rate (CAGR)
11.2.1.5. Regional
Bifurcation
11.2.1.5.1. North
America
11.2.1.5.1.1. Market
Estimation, 2015 – 2019
11.2.1.5.1.2. Market
Forecast, 2020 – 2028
11.2.1.5.2. Europe
11.2.1.5.2.1. Market
Estimation, 2015 – 2019
11.2.1.5.2.2. Market
Forecast, 2020 – 2028
11.2.1.5.3. Asia
Pacific
11.2.1.5.3.1. Market
Estimation, 2015 – 2019
11.2.1.5.3.2. Market
Forecast, 2020 – 2028
11.2.1.5.4. Middle
East and Africa
11.2.1.5.4.1. Market
Estimation, 2015 – 2019
11.2.1.5.4.2. Market
Forecast, 2020 – 2028
11.2.1.5.5. Latin
America
11.2.1.5.5.1. Market
Estimation, 2015 – 2019
11.2.1.5.5.2. Market
Forecast, 2020 – 2028
11.2.2. Natural
Language Processing
11.2.2.1. Definition
11.2.2.2. Market
Estimation and Penetration, 2015 – 2019
11.2.2.3. Market
Forecast, 2020 – 2028
11.2.2.4. Compound
Annual Growth Rate (CAGR)
11.2.2.5. Regional
Bifurcation
11.2.2.5.1. North
America
11.2.2.5.1.1. Market
Estimation, 2015 – 2019
11.2.2.5.1.2. Market
Forecast, 2020 – 2028
11.2.2.5.2. Europe
11.2.2.5.2.1. Market
Estimation, 2015 – 2019
11.2.2.5.2.2. Market
Forecast, 2020 – 2028
11.2.2.5.3. Asia
Pacific
11.2.2.5.3.1. Market
Estimation, 2015 – 2019
11.2.2.5.3.2. Market
Forecast, 2020 – 2028
11.2.2.5.4. Middle
East and Africa
11.2.2.5.4.1. Market
Estimation, 2015 – 2019
11.2.2.5.4.2. Market
Forecast, 2020 – 2028
11.2.2.5.5. Latin
America
11.2.2.5.5.1. Market
Estimation, 2015 – 2019
11.2.2.5.5.2. Market
Forecast, 2020 – 2028
11.2.3. Computer
Vision
11.2.3.1. Definition
11.2.3.2. Market
Estimation and Penetration, 2015 – 2019
11.2.3.3. Market
Forecast, 2020 – 2028
11.2.3.4. Compound
Annual Growth Rate (CAGR)
11.2.3.5. Regional
Bifurcation
11.2.3.5.1. North
America
11.2.3.5.1.1. Market
Estimation, 2015 – 2019
11.2.3.5.1.2. Market
Forecast, 2020 – 2028
11.2.3.5.2. Europe
11.2.3.5.2.1. Market
Estimation, 2015 – 2019
11.2.3.5.2.2. Market
Forecast, 2020 – 2028
11.2.3.5.3. Asia
Pacific
11.2.3.5.3.1. Market
Estimation, 2015 – 2019
11.2.3.5.3.2. Market
Forecast, 2020 – 2028
11.2.3.5.4. Middle
East and Africa
11.2.3.5.4.1. Market
Estimation, 2015 – 2019
11.2.3.5.4.2. Market
Forecast, 2020 – 2028
11.2.3.5.5. Latin
America
11.2.3.5.5.1. Market
Estimation, 2015 – 2019
11.2.3.5.5.2. Market
Forecast, 2020 – 2028
11.2.4. Others
11.2.4.1. Definition
11.2.4.2. Market
Estimation and Penetration, 2015 – 2019
11.2.4.3. Market
Forecast, 2020 – 2028
11.2.4.4. Compound
Annual Growth Rate (CAGR)
11.2.4.5. Regional
Bifurcation
11.2.4.5.1. North
America
11.2.4.5.1.1. Market
Estimation, 2015 – 2019
11.2.4.5.1.2. Market
Forecast, 2020 – 2028
11.2.4.5.2. Europe
11.2.4.5.2.1. Market
Estimation, 2015 – 2019
11.2.4.5.2.2. Market
Forecast, 2020 – 2028
11.2.4.5.3. Asia
Pacific
11.2.4.5.3.1. Market
Estimation, 2015 – 2019
11.2.4.5.3.2. Market
Forecast, 2020 – 2028
11.2.4.5.4. Middle
East and Africa
11.2.4.5.4.1. Market
Estimation, 2015 – 2019
11.2.4.5.4.2. Market
Forecast, 2020 – 2028
11.2.4.5.5. Latin
America
11.2.4.5.5.1. Market
Estimation, 2015 – 2019
11.2.4.5.5.2. Market
Forecast, 2020 – 2028
11.3. Key
Segment for Channeling Investments
11.3.1. By
Technology
12. Global
Artificial Intelligence in Supply Chain Management Market Analysis and
Forecasts, 2020 – 2028
12.1. Overview
12.2. Global
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Application
12.2.1. Fleet
Management
12.2.1.1. Definition
12.2.1.2. Market
Estimation and Penetration, 2015 – 2019
12.2.1.3. Market
Forecast, 2020 – 2028
12.2.1.4. Compound
Annual Growth Rate (CAGR)
12.2.1.5. Regional
Bifurcation
12.2.1.5.1. North
America
12.2.1.5.1.1. Market
Estimation, 2015 – 2019
12.2.1.5.1.2. Market
Forecast, 2020 – 2028
12.2.1.5.2. Europe
12.2.1.5.2.1. Market
Estimation, 2015 – 2019
12.2.1.5.2.2. Market
Forecast, 2020 – 2028
12.2.1.5.3. Asia
Pacific
12.2.1.5.3.1. Market
Estimation, 2015 – 2019
12.2.1.5.3.2. Market
Forecast, 2020 – 2028
12.2.1.5.4. Middle
East and Africa
12.2.1.5.4.1. Market
Estimation, 2015 – 2019
12.2.1.5.4.2. Market
Forecast, 2020 – 2028
12.2.1.5.5. Latin
America
12.2.1.5.5.1. Market
Estimation, 2015 – 2019
12.2.1.5.5.2. Market
Forecast, 2020 – 2028
12.2.2. Warehouse
Management
12.2.2.1. Definition
12.2.2.2. Market
Estimation and Penetration, 2015 – 2019
12.2.2.3. Market
Forecast, 2020 – 2028
12.2.2.4. Compound
Annual Growth Rate (CAGR)
12.2.2.5. Regional
Bifurcation
12.2.2.5.1. North
America
12.2.2.5.1.1. Market
Estimation, 2015 – 2019
12.2.2.5.1.2. Market
Forecast, 2020 – 2028
12.2.2.5.2. Europe
12.2.2.5.2.1. Market
Estimation, 2015 – 2019
12.2.2.5.2.2. Market
Forecast, 2020 – 2028
12.2.2.5.3. Asia
Pacific
12.2.2.5.3.1. Market
Estimation, 2015 – 2019
12.2.2.5.3.2. Market
Forecast, 2020 – 2028
12.2.2.5.4. Middle
East and Africa
12.2.2.5.4.1. Market
Estimation, 2015 – 2019
12.2.2.5.4.2. Market
Forecast, 2020 – 2028
12.2.2.5.5. Latin
America
12.2.2.5.5.1. Market
Estimation, 2015 – 2019
12.2.2.5.5.2. Market
Forecast, 2020 – 2028
12.2.3. Customer
Relationship Management
12.2.3.1. Definition
12.2.3.2. Market
Estimation and Penetration, 2015 – 2019
12.2.3.3. Market
Forecast, 2020 – 2028
12.2.3.4. Compound
Annual Growth Rate (CAGR)
12.2.3.5. Regional
Bifurcation
12.2.3.5.1. North
America
12.2.3.5.1.1. Market
Estimation, 2015 – 2019
12.2.3.5.1.2. Market
Forecast, 2020 – 2028
12.2.3.5.2. Europe
12.2.3.5.2.1. Market
Estimation, 2015 – 2019
12.2.3.5.2.2. Market
Forecast, 2020 – 2028
12.2.3.5.3. Asia
Pacific
12.2.3.5.3.1. Market
Estimation, 2015 – 2019
12.2.3.5.3.2. Market
Forecast, 2020 – 2028
12.2.3.5.4. Middle
East and Africa
12.2.3.5.4.1. Market
Estimation, 2015 – 2019
12.2.3.5.4.2. Market
Forecast, 2020 – 2028
12.2.3.5.5. Latin
America
12.2.3.5.5.1. Market
Estimation, 2015 – 2019
12.2.3.5.5.2. Market
Forecast, 2020 – 2028
12.2.4. Supply
Chain Visibility
12.2.4.1. Definition
12.2.4.2. Market
Estimation and Penetration, 2015 – 2019
12.2.4.3. Market
Forecast, 2020 – 2028
12.2.4.4. Compound
Annual Growth Rate (CAGR)
12.2.4.5. Regional
Bifurcation
12.2.4.5.1. North
America
12.2.4.5.1.1. Market
Estimation, 2015 – 2019
12.2.4.5.1.2. Market
Forecast, 2020 – 2028
12.2.4.5.2. Europe
12.2.4.5.2.1. Market
Estimation, 2015 – 2019
12.2.4.5.2.2. Market
Forecast, 2020 – 2028
12.2.4.5.3. Asia
Pacific
12.2.4.5.3.1. Market
Estimation, 2015 – 2019
12.2.4.5.3.2. Market
Forecast, 2020 – 2028
12.2.4.5.4. Middle
East and Africa
12.2.4.5.4.1. Market
Estimation, 2015 – 2019
12.2.4.5.4.2. Market
Forecast, 2020 – 2028
12.2.4.5.5. Latin
America
12.2.4.5.5.1. Market
Estimation, 2015 – 2019
12.2.4.5.5.2. Market
Forecast, 2020 – 2028
12.2.5. Risk
Analysis
12.2.5.1. Definition
12.2.5.2. Market
Estimation and Penetration, 2015 – 2019
12.2.5.3. Market
Forecast, 2020 – 2028
12.2.5.4. Compound
Annual Growth Rate (CAGR)
12.2.5.5. Regional
Bifurcation
12.2.5.5.1. North
America
12.2.5.5.1.1. Market
Estimation, 2015 – 2019
12.2.5.5.1.2. Market
Forecast, 2020 – 2028
12.2.5.5.2. Europe
12.2.5.5.2.1. Market
Estimation, 2015 – 2019
12.2.5.5.2.2. Market
Forecast, 2020 – 2028
12.2.5.5.3. Asia
Pacific
12.2.5.5.3.1. Market
Estimation, 2015 – 2019
12.2.5.5.3.2. Market
Forecast, 2020 – 2028
12.2.5.5.4. Middle
East and Africa
12.2.5.5.4.1. Market
Estimation, 2015 – 2019
12.2.5.5.4.2. Market
Forecast, 2020 – 2028
12.2.5.5.5. Latin
America
12.2.5.5.5.1. Market
Estimation, 2015 – 2019
12.2.5.5.5.2. Market
Forecast, 2020 – 2028
12.2.6. Quality
and Compliance
12.2.6.1. Definition
12.2.6.2. Market
Estimation and Penetration, 2015 – 2019
12.2.6.3. Market
Forecast, 2020 – 2028
12.2.6.4. Compound
Annual Growth Rate (CAGR)
12.2.6.5. Regional
Bifurcation
12.2.6.5.1. North
America
12.2.6.5.1.1. Market
Estimation, 2015 – 2019
12.2.6.5.1.2. Market
Forecast, 2020 – 2028
12.2.6.5.2. Europe
12.2.6.5.2.1. Market
Estimation, 2015 – 2019
12.2.6.5.2.2. Market
Forecast, 2020 – 2028
12.2.6.5.3. Asia
Pacific
12.2.6.5.3.1. Market
Estimation, 2015 – 2019
12.2.6.5.3.2. Market
Forecast, 2020 – 2028
12.2.6.5.4. Middle
East and Africa
12.2.6.5.4.1. Market
Estimation, 2015 – 2019
12.2.6.5.4.2. Market
Forecast, 2020 – 2028
12.2.6.5.5. Latin
America
12.2.6.5.5.1. Market
Estimation, 2015 – 2019
12.2.6.5.5.2. Market
Forecast, 2020 – 2028
12.2.7. Robotic
Automation
12.2.7.1. Definition
12.2.7.2. Market
Estimation and Penetration, 2015 – 2019
12.2.7.3. Market
Forecast, 2020 – 2028
12.2.7.4. Compound
Annual Growth Rate (CAGR)
12.2.7.5. Regional
Bifurcation
12.2.7.5.1. North
America
12.2.7.5.1.1. Market
Estimation, 2015 – 2019
12.2.7.5.1.2. Market
Forecast, 2020 – 2028
12.2.7.5.2. Europe
12.2.7.5.2.1. Market
Estimation, 2015 – 2019
12.2.7.5.2.2. Market
Forecast, 2020 – 2028
12.2.7.5.3. Asia
Pacific
12.2.7.5.3.1. Market
Estimation, 2015 – 2019
12.2.7.5.3.2. Market
Forecast, 2020 – 2028
12.2.7.5.4. Middle
East and Africa
12.2.7.5.4.1. Market
Estimation, 2015 – 2019
12.2.7.5.4.2. Market
Forecast, 2020 – 2028
12.2.7.5.5. Latin
America
12.2.7.5.5.1. Market
Estimation, 2015 – 2019
12.2.7.5.5.2. Market
Forecast, 2020 – 2028
12.2.8. Sourcing
and Supply Management
12.2.8.1. Definition
12.2.8.2. Market
Estimation and Penetration, 2015 – 2019
12.2.8.3. Market
Forecast, 2020 – 2028
12.2.8.4. Compound
Annual Growth Rate (CAGR)
12.2.8.5. Regional
Bifurcation
12.2.8.5.1. North
America
12.2.8.5.1.1. Market
Estimation, 2015 – 2019
12.2.8.5.1.2. Market
Forecast, 2020 – 2028
12.2.8.5.2. Europe
12.2.8.5.2.1. Market
Estimation, 2015 – 2019
12.2.8.5.2.2. Market
Forecast, 2020 – 2028
12.2.8.5.3. Asia
Pacific
12.2.8.5.3.1. Market
Estimation, 2015 – 2019
12.2.8.5.3.2. Market
Forecast, 2020 – 2028
12.2.8.5.4. Middle
East and Africa
12.2.8.5.4.1. Market
Estimation, 2015 – 2019
12.2.8.5.4.2. Market
Forecast, 2020 – 2028
12.2.8.5.5. Latin
America
12.2.8.5.5.1. Market
Estimation, 2015 – 2019
12.2.8.5.5.2. Market
Forecast, 2020 – 2028
12.2.9. Route
Optimization
12.2.9.1. Definition
12.2.9.2. Market
Estimation and Penetration, 2015 – 2019
12.2.9.3. Market
Forecast, 2020 – 2028
12.2.9.4. Compound
Annual Growth Rate (CAGR)
12.2.9.5. Regional
Bifurcation
12.2.9.5.1. North
America
12.2.9.5.1.1. Market
Estimation, 2015 – 2019
12.2.9.5.1.2. Market
Forecast, 2020 – 2028
12.2.9.5.2. Europe
12.2.9.5.2.1. Market
Estimation, 2015 – 2019
12.2.9.5.2.2. Market
Forecast, 2020 – 2028
12.2.9.5.3. Asia
Pacific
12.2.9.5.3.1. Market
Estimation, 2015 – 2019
12.2.9.5.3.2. Market
Forecast, 2020 – 2028
12.2.9.5.4. Middle
East and Africa
12.2.9.5.4.1. Market
Estimation, 2015 – 2019
12.2.9.5.4.2. Market
Forecast, 2020 – 2028
12.2.9.5.5. Latin
America
12.2.9.5.5.1. Market
Estimation, 2015 – 2019
12.2.9.5.5.2. Market
Forecast, 2020 – 2028
12.2.10. Others
12.2.10.1. Definition
12.2.10.2. Market
Estimation and Penetration, 2015 – 2019
12.2.10.3. Market
Forecast, 2020 – 2028
12.2.10.4. Compound
Annual Growth Rate (CAGR)
12.2.10.5. Regional
Bifurcation
12.2.10.5.1. North
America
12.2.10.5.1.1. Market
Estimation, 2015 – 2019
12.2.10.5.1.2. Market
Forecast, 2020 – 2028
12.2.10.5.2. Europe
12.2.10.5.2.1. Market
Estimation, 2015 – 2019
12.2.10.5.2.2. Market
Forecast, 2020 – 2028
12.2.10.5.3. Asia
Pacific
12.2.10.5.3.1. Market
Estimation, 2015 – 2019
12.2.10.5.3.2. Market
Forecast, 2020 – 2028
12.2.10.5.4. Middle
East and Africa
12.2.10.5.4.1. Market
Estimation, 2015 – 2019
12.2.10.5.4.2. Market
Forecast, 2020 – 2028
12.2.10.5.5. Latin
America
12.2.10.5.5.1. Market
Estimation, 2015 – 2019
12.2.10.5.5.2. Market
Forecast, 2020 – 2028
12.3. Key
Segment for Channeling Investments
12.3.1. By
Application
13. North America
Artificial Intelligence in Supply Chain Management Market Analysis and
Forecasts, 2020 - 2028
13.1. Overview
13.1.1. North
America Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn)
13.2. North
America Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Offering
13.2.1. Hardware
13.2.2. Software
13.2.2.1. Cloud
13.2.2.2. On
Premise
13.2.3. Services
13.2.3.1. Training
and Consulting
13.2.3.2. Implementation
and Maintenance
13.2.3.3. Design
and Development
13.2.3.4. Others
13.3. North
America Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Organization Size
13.3.1. Small
and Medium Enterprises
13.3.2. Large
Enterprises
13.4. North
America Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By End-User
13.4.1. Healthcare
13.4.2. Transportation
and Logistics
13.4.3. Manufacturing
13.4.4. Automotive
13.4.5. Agriculture
13.4.6. Aerospace
and Defence
13.4.7. Food
and Beverages
13.4.8. Aerospace
and Defense
13.4.9. Retail
and Consumer Goods
13.4.10. Others
13.5. North
America Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Technology
13.5.1. Machine
Learning
13.5.2. Natural
Language Processing
13.5.3. Computer
Vision
13.5.4. Others
13.6. North
America Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Application
13.6.1. Fleet
Management
13.6.2. Warehouse
Management
13.6.3. Customer
Relationship Management
13.6.4. Supply
Chain Visibility
13.6.5. Risk
Analysis
13.6.6. Quality
and Compliance
13.6.7. Robotic
Automation
13.6.8. Sourcing
and Supply Management
13.6.9. Route
Optimization
13.6.10. Others
13.7. North
America Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Country
13.7.1. U.S
13.7.1.1. U.S
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Offering
13.7.1.1.1. Hardware
13.7.1.1.2. Software
13.7.1.1.2.1. Cloud
13.7.1.1.2.2. On
Premise
13.7.1.1.3. Services
13.7.1.1.3.1. Training
and Consulting
13.7.1.1.3.2. Implementation
and Maintenance
13.7.1.1.3.3. Design
and Development
13.7.1.1.3.4. Others
13.7.1.2. U.S Artificial
Intelligence in Supply Chain Management Market Revenue (US$ Mn) and Forecasts,
By Organization Size
13.7.1.2.1. Small
and Medium Enterprises
13.7.1.2.2. Large
Enterprises
13.7.1.3. U.S
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By End-User
13.7.1.3.1. Healthcare
13.7.1.3.2. Transportation
and Logistics
13.7.1.3.3. Manufacturing
13.7.1.3.4. Automotive
13.7.1.3.5. Agriculture
13.7.1.3.6. Aerospace
and Defence
13.7.1.3.7. Food
and Beverages
13.7.1.3.8. Aerospace
and Defense
13.7.1.3.9. Retail
and Consumer Goods
13.7.1.3.10. Others
13.7.1.4. U.S
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Technology
13.7.1.4.1. Machine
Learning
13.7.1.4.2. Natural
Language Processing
13.7.1.4.3. Computer
Vision
13.7.1.4.4. Others
13.7.1.5. U.S
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Application
13.7.1.5.1. Fleet
Management
13.7.1.5.2. Warehouse
Management
13.7.1.5.3. Customer
Relationship Management
13.7.1.5.4. Supply
Chain Visibility
13.7.1.5.5. Risk
Analysis
13.7.1.5.6. Quality
and Compliance
13.7.1.5.7. Robotic
Automation
13.7.1.5.8. Sourcing
and Supply Management
13.7.1.5.9. Route
Optimization
13.7.1.5.10. Others
13.7.2. Canada
13.7.2.1. Canada
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and Forecasts,
By Offering
13.7.2.1.1. Hardware
13.7.2.1.2. Software
13.7.2.1.2.1. Cloud
13.7.2.1.2.2. On
Premise
13.7.2.1.3. Services
13.7.2.1.3.1. Training
and Consulting
13.7.2.1.3.2. Implementation
and Maintenance
13.7.2.1.3.3. Design
and Development
13.7.2.1.3.4. Others
13.7.2.2. Canada
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Organization Size
13.7.2.2.1. Small
and Medium Enterprises
13.7.2.2.2. Large
Enterprises
13.7.2.3. Canada
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By End-User
13.7.2.3.1. Healthcare
13.7.2.3.2. Transportation
and Logistics
13.7.2.3.3. Manufacturing
13.7.2.3.4. Automotive
13.7.2.3.5. Agriculture
13.7.2.3.6. Aerospace
and Defence
13.7.2.3.7. Food
and Beverages
13.7.2.3.8. Aerospace
and Defense
13.7.2.3.9. Retail
and Consumer Goods
13.7.2.3.10. Others
13.7.2.4. Canada
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Technology
13.7.2.4.1. Machine
Learning
13.7.2.4.2. Natural
Language Processing
13.7.2.4.3. Computer
Vision
13.7.2.4.4. Others
13.7.2.5. Canada
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Application
13.7.2.5.1. Fleet
Management
13.7.2.5.2. Warehouse
Management
13.7.2.5.3. Customer
Relationship Management
13.7.2.5.4. Supply
Chain Visibility
13.7.2.5.5. Risk
Analysis
13.7.2.5.6. Quality
and Compliance
13.7.2.5.7. Robotic
Automation
13.7.2.5.8. Sourcing
and Supply Management
13.7.2.5.9. Route
Optimization
13.7.2.5.10. Others
13.7.3. Mexico
13.7.3.1. Mexico
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Offering
13.7.3.1.1. Hardware
13.7.3.1.2. Software
13.7.3.1.2.1. Cloud
13.7.3.1.2.2. On
Premise
13.7.3.1.3. Services
13.7.3.1.3.1. Training
and Consulting
13.7.3.1.3.2. Implementation
and Maintenance
13.7.3.1.3.3. Design
and Development
13.7.3.1.3.4. Others
13.7.3.2. Mexico
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Organization Size
13.7.3.2.1. Small
and Medium Enterprises
13.7.3.2.2. Large
Enterprises
13.7.3.3. Mexico
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By End-User
13.7.3.3.1. Healthcare
13.7.3.3.2. Transportation
and Logistics
13.7.3.3.3. Manufacturing
13.7.3.3.4. Automotive
13.7.3.3.5. Agriculture
13.7.3.3.6. Aerospace
and Defence
13.7.3.3.7. Food
and Beverages
13.7.3.3.8. Aerospace
and Defense
13.7.3.3.9. Retail
and Consumer Goods
13.7.3.3.10. Others
13.7.3.4. Mexico
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Technology
13.7.3.4.1. Machine
Learning
13.7.3.4.2. Natural
Language Processing
13.7.3.4.3. Computer
Vision
13.7.3.4.4. Others
13.7.3.5. Mexico
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Application
13.7.3.5.1. Fleet
Management
13.7.3.5.2. Warehouse
Management
13.7.3.5.3. Customer
Relationship Management
13.7.3.5.4. Supply
Chain Visibility
13.7.3.5.5. Risk
Analysis
13.7.3.5.6. Quality
and Compliance
13.7.3.5.7. Robotic
Automation
13.7.3.5.8. Sourcing
and Supply Management
13.7.3.5.9. Route
Optimization
13.7.3.5.10. Others
13.7.4. Rest of
North America
13.7.4.1. Rest
of North America Artificial Intelligence in Supply Chain Management Market
Revenue (US$ Mn) and Forecasts, By Offering
13.7.4.1.1. Hardware
13.7.4.1.2. Software
13.7.4.1.2.1. Cloud
13.7.4.1.2.2. On
Premise
13.7.4.1.3. Services
13.7.4.1.3.1. Training
and Consulting
13.7.4.1.3.2. Implementation
and Maintenance
13.7.4.1.3.3. Design
and Development
13.7.4.1.3.4. Others
13.7.4.2. Rest
of North America Artificial Intelligence in Supply Chain Management Market
Revenue (US$ Mn) and Forecasts, By Organization Size
13.7.4.2.1. Small
and Medium Enterprises
13.7.4.2.2. Large
Enterprises
13.7.4.3. Rest
of North America Artificial Intelligence in Supply Chain Management Market
Revenue (US$ Mn) and Forecasts, By End-User
13.7.4.3.1. Healthcare
13.7.4.3.2. Transportation
and Logistics
13.7.4.3.3. Manufacturing
13.7.4.3.4. Automotive
13.7.4.3.5. Agriculture
13.7.4.3.6. Aerospace
and Defence
13.7.4.3.7. Food
and Beverages
13.7.4.3.8. Aerospace
and Defense
13.7.4.3.9. Retail
and Consumer Goods
13.7.4.3.10. Others
13.7.4.4. Rest
of North America Artificial Intelligence in Supply Chain Management Market
Revenue (US$ Mn) and Forecasts, By Technology
13.7.4.4.1. Machine
Learning
13.7.4.4.2. Natural
Language Processing
13.7.4.4.3. Computer
Vision
13.7.4.4.4. Others
13.7.4.5. Rest
of North America Artificial Intelligence in Supply Chain Management Market
Revenue (US$ Mn) and Forecasts, By Application
13.7.4.5.1. Fleet
Management
13.7.4.5.2. Warehouse
Management
13.7.4.5.3. Customer
Relationship Management
13.7.4.5.4. Supply
Chain Visibility
13.7.4.5.5. Risk
Analysis
13.7.4.5.6. Quality
and Compliance
13.7.4.5.7. Robotic
Automation
13.7.4.5.8. Sourcing
and Supply Management
13.7.4.5.9. Route
Optimization
13.7.4.5.10. Others
13.8. Key
Segment for Channeling Investments
13.8.1. By
Country
13.8.2. By
Offering
13.8.3. By
Organization Size
13.8.4. By
End-User
13.8.5. By
Technology
13.8.6. By
Application
14. Europe
Artificial Intelligence in Supply Chain Management Market Analysis and
Forecasts, 2020 - 2028
14.1. Overview
14.1.1. Europe
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn)
14.2. Europe
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Offering
14.2.1. Hardware
14.2.2. Software
14.2.2.1. Cloud
14.2.2.2. On
Premise
14.2.3. Services
14.2.3.1. Training
and Consulting
14.2.3.2. Implementation
and Maintenance
14.2.3.3. Design
and Development
14.2.3.4. Others
14.3. Europe
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Organization Size
14.3.1. Small
and Medium Enterprises
14.3.2. Large
Enterprises
14.4. Europe
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By End-User
14.4.1. Healthcare
14.4.2. Transportation
and Logistics
14.4.3. Manufacturing
14.4.4. Automotive
14.4.5. Agriculture
14.4.6. Aerospace
and Defence
14.4.7. Food
and Beverages
14.4.8. Aerospace
and Defense
14.4.9. Retail
and Consumer Goods
14.4.10. Others
14.5. Europe
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Technology
14.5.1. Machine
Learning
14.5.2. Natural
Language Processing
14.5.3. Computer
Vision
14.5.4. Others
14.6. Europe
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Application
14.6.1. Fleet
Management
14.6.2. Warehouse
Management
14.6.3. Customer
Relationship Management
14.6.4. Supply
Chain Visibility
14.6.5. Risk
Analysis
14.6.6. Quality
and Compliance
14.6.7. Robotic
Automation
14.6.8. Sourcing
and Supply Management
14.6.9. Route
Optimization
14.6.10. Others
14.7. Europe
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Country
14.7.1. France
14.7.1.1. France
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Offering
14.7.1.1.1. Hardware
14.7.1.1.2. Software
14.7.1.1.2.1. Cloud
14.7.1.1.2.2. On
Premise
14.7.1.1.3. Services
14.7.1.1.3.1. Training
and Consulting
14.7.1.1.3.2. Implementation
and Maintenance
14.7.1.1.3.3. Design
and Development
14.7.1.1.3.4. Others
14.7.1.2. France
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Organization Size
14.7.1.2.1. Small
and Medium Enterprises
14.7.1.2.2. Large
Enterprises
14.7.1.3. France
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By End-User
14.7.1.3.1. Healthcare
14.7.1.3.2. Transportation
and Logistics
14.7.1.3.3. Manufacturing
14.7.1.3.4. Automotive
14.7.1.3.5. Agriculture
14.7.1.3.6. Aerospace
and Defence
14.7.1.3.7. Food
and Beverages
14.7.1.3.8. Aerospace
and Defense
14.7.1.3.9. Retail
and Consumer Goods
14.7.1.3.10. Others
14.7.1.4. France
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Technology
14.7.1.4.1. Machine
Learning
14.7.1.4.2. Natural
Language Processing
14.7.1.4.3. Computer
Vision
14.7.1.4.4. Others
14.7.1.5. France
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Application
14.7.1.5.1. Fleet
Management
14.7.1.5.2. Warehouse
Management
14.7.1.5.3. Customer
Relationship Management
14.7.1.5.4. Supply
Chain Visibility
14.7.1.5.5. Risk
Analysis
14.7.1.5.6. Quality
and Compliance
14.7.1.5.7. Robotic
Automation
14.7.1.5.8. Sourcing
and Supply Management
14.7.1.5.9. Route
Optimization
14.7.1.5.10. Others
14.7.2. The UK
14.7.2.1. The
UK Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn)
and Forecasts, By Offering
14.7.2.1.1. Hardware
14.7.2.1.2. Software
14.7.2.1.2.1. Cloud
14.7.2.1.2.2. On
Premise
14.7.2.1.3. Services
14.7.2.1.3.1. Training
and Consulting
14.7.2.1.3.2. Implementation
and Maintenance
14.7.2.1.3.3. Design
and Development
14.7.2.1.3.4. Others
14.7.2.2. The
UK Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn)
and Forecasts, By Organization Size
14.7.2.2.1. Small
and Medium Enterprises
14.7.2.2.2. Large
Enterprises
14.7.2.3. The
UK Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn)
and Forecasts, By End-User
14.7.2.3.1. Healthcare
14.7.2.3.2. Transportation
and Logistics
14.7.2.3.3. Manufacturing
14.7.2.3.4. Automotive
14.7.2.3.5. Agriculture
14.7.2.3.6. Aerospace
and Defence
14.7.2.3.7. Food
and Beverages
14.7.2.3.8. Aerospace
and Defense
14.7.2.3.9. Retail
and Consumer Goods
14.7.2.3.10. Others
14.7.2.4. The
UK Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn)
and Forecasts, By Technology
14.7.2.4.1. Machine
Learning
14.7.2.4.2. Natural
Language Processing
14.7.2.4.3. Computer
Vision
14.7.2.4.4. Others
14.7.2.5. The
UK Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn)
and Forecasts, By Application
14.7.2.5.1. Fleet
Management
14.7.2.5.2. Warehouse
Management
14.7.2.5.3. Customer
Relationship Management
14.7.2.5.4. Supply
Chain Visibility
14.7.2.5.5. Risk
Analysis
14.7.2.5.6. Quality
and Compliance
14.7.2.5.7. Robotic
Automation
14.7.2.5.8. Sourcing
and Supply Management
14.7.2.5.9. Route
Optimization
14.7.2.5.10. Others
14.7.3. Spain
14.7.3.1. Spain
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Offering
14.7.3.1.1. Hardware
14.7.3.1.2. Software
14.7.3.1.2.1. Cloud
14.7.3.1.2.2. On
Premise
14.7.3.1.3. Services
14.7.3.1.3.1. Training
and Consulting
14.7.3.1.3.2. Implementation
and Maintenance
14.7.3.1.3.3. Design
and Development
14.7.3.1.3.4. Others
14.7.3.2. Spain
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Organization Size
14.7.3.2.1. Small
and Medium Enterprises
14.7.3.2.2. Large
Enterprises
14.7.3.3. Spain
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By End-User
14.7.3.3.1. Healthcare
14.7.3.3.2. Transportation
and Logistics
14.7.3.3.3. Manufacturing
14.7.3.3.4. Automotive
14.7.3.3.5. Agriculture
14.7.3.3.6. Aerospace
and Defence
14.7.3.3.7. Food
and Beverages
14.7.3.3.8. Aerospace
and Defense
14.7.3.3.9. Retail
and Consumer Goods
14.7.3.3.10. Others
14.7.3.4. Spain
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Technology
14.7.3.4.1. Machine
Learning
14.7.3.4.2. Natural
Language Processing
14.7.3.4.3. Computer
Vision
14.7.3.4.4. Others
14.7.3.5. Spain
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Application
14.7.3.5.1. Fleet
Management
14.7.3.5.2. Warehouse
Management
14.7.3.5.3. Customer
Relationship Management
14.7.3.5.4. Supply
Chain Visibility
14.7.3.5.5. Risk
Analysis
14.7.3.5.6. Quality
and Compliance
14.7.3.5.7. Robotic
Automation
14.7.3.5.8. Sourcing
and Supply Management
14.7.3.5.9. Route
Optimization
14.7.3.5.10. Others
14.7.4. Germany
14.7.4.1. Germany
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Offering
14.7.4.1.1. Hardware
14.7.4.1.2. Software
14.7.4.1.2.1. Cloud
14.7.4.1.2.2. On
Premise
14.7.4.1.3. Services
14.7.4.1.3.1. Training
and Consulting
14.7.4.1.3.2. Implementation
and Maintenance
14.7.4.1.3.3. Design
and Development
14.7.4.1.3.4. Others
14.7.4.2. Germany
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Organization Size
14.7.4.2.1. Small
and Medium Enterprises
14.7.4.2.2. Large
Enterprises
14.7.4.3. Germany
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By End-User
14.7.4.3.1. Healthcare
14.7.4.3.2. Transportation
and Logistics
14.7.4.3.3. Manufacturing
14.7.4.3.4. Automotive
14.7.4.3.5. Agriculture
14.7.4.3.6. Aerospace
and Defence
14.7.4.3.7. Food
and Beverages
14.7.4.3.8. Aerospace
and Defense
14.7.4.3.9. Retail
and Consumer Goods
14.7.4.3.10. Others
14.7.4.4. Germany
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Technology
14.7.4.4.1. Machine
Learning
14.7.4.4.2. Natural
Language Processing
14.7.4.4.3. Computer
Vision
14.7.4.4.4. Others
14.7.4.5. Germany
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Application
14.7.4.5.1. Fleet
Management
14.7.4.5.2. Warehouse
Management
14.7.4.5.3. Customer
Relationship Management
14.7.4.5.4. Supply
Chain Visibility
14.7.4.5.5. Risk
Analysis
14.7.4.5.6. Quality
and Compliance
14.7.4.5.7. Robotic
Automation
14.7.4.5.8. Sourcing
and Supply Management
14.7.4.5.9. Route
Optimization
14.7.4.5.10. Others
14.7.5. Italy
14.7.5.1. Italy
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Offering
14.7.5.1.1. Hardware
14.7.5.1.2. Software
14.7.5.1.2.1. Cloud
14.7.5.1.2.2. On
Premise
14.7.5.1.3. Services
14.7.5.1.3.1. Training
and Consulting
14.7.5.1.3.2. Implementation
and Maintenance
14.7.5.1.3.3. Design
and Development
14.7.5.1.3.4. Others
14.7.5.2. Italy
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Organization Size
14.7.5.2.1. Small
and Medium Enterprises
14.7.5.2.2. Large
Enterprises
14.7.5.3. Italy
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By End-User
14.7.5.3.1. Healthcare
14.7.5.3.2. Transportation
and Logistics
14.7.5.3.3. Manufacturing
14.7.5.3.4. Automotive
14.7.5.3.5. Agriculture
14.7.5.3.6. Aerospace
and Defence
14.7.5.3.7. Food
and Beverages
14.7.5.3.8. Aerospace
and Defense
14.7.5.3.9. Retail
and Consumer Goods
14.7.5.3.10. Others
14.7.5.4. Italy
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Technology
14.7.5.4.1. Machine
Learning
14.7.5.4.2. Natural
Language Processing
14.7.5.4.3. Computer
Vision
14.7.5.4.4. Others
14.7.5.5. Italy
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Application
14.7.5.5.1. Fleet
Management
14.7.5.5.2. Warehouse
Management
14.7.5.5.3. Customer
Relationship Management
14.7.5.5.4. Supply
Chain Visibility
14.7.5.5.5. Risk
Analysis
14.7.5.5.6. Quality
and Compliance
14.7.5.5.7. Robotic
Automation
14.7.5.5.8. Sourcing
and Supply Management
14.7.5.5.9. Route
Optimization
14.7.5.5.10. Others
14.7.6. Nordic
Countries
14.7.6.1. Nordic
Countries Artificial Intelligence in Supply Chain Management Market Revenue
(US$ Mn) and Forecasts, By Offering
14.7.6.1.1. Hardware
14.7.6.1.2. Software
14.7.6.1.2.1. Cloud
14.7.6.1.2.2. On
Premise
14.7.6.1.3. Services
14.7.6.1.3.1. Training
and Consulting
14.7.6.1.3.2. Implementation
and Maintenance
14.7.6.1.3.3. Design
and Development
14.7.6.1.3.4. Others
14.7.6.2. Nordic
Countries Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Organization Size
14.7.6.2.1. Small
and Medium Enterprises
14.7.6.2.2. Large
Enterprises
14.7.6.3. Nordic
Countries Artificial Intelligence in Supply Chain Management Market Revenue
(US$ Mn) and Forecasts, By End-User
14.7.6.3.1. Healthcare
14.7.6.3.2. Transportation
and Logistics
14.7.6.3.3. Manufacturing
14.7.6.3.4. Automotive
14.7.6.3.5. Agriculture
14.7.6.3.6. Aerospace
and Defence
14.7.6.3.7. Food
and Beverages
14.7.6.3.8. Aerospace
and Defense
14.7.6.3.9. Retail
and Consumer Goods
14.7.6.3.10. Others
14.7.6.4. Nordic
Countries Artificial Intelligence in Supply Chain Management Market Revenue
(US$ Mn) and Forecasts, By Technology
14.7.6.4.1. Machine
Learning
14.7.6.4.2. Natural
Language Processing
14.7.6.4.3. Computer
Vision
14.7.6.4.4. Others
14.7.6.5. Nordic
Countries Artificial Intelligence in Supply Chain Management Market Revenue
(US$ Mn) and Forecasts, By Application
14.7.6.5.1. Fleet
Management
14.7.6.5.2. Warehouse
Management
14.7.6.5.3. Customer
Relationship Management
14.7.6.5.4. Supply
Chain Visibility
14.7.6.5.5. Risk
Analysis
14.7.6.5.6. Quality
and Compliance
14.7.6.5.7. Robotic
Automation
14.7.6.5.8. Sourcing
and Supply Management
14.7.6.5.9. Route
Optimization
14.7.6.5.10. Others
14.7.6.6. Nordic
Countries Artificial Intelligence in Supply Chain Management Market Revenue
(US$ Mn) and Forecasts, By Country
14.7.6.6.1. Denmark
14.7.6.6.2. Finland
14.7.6.6.3. Iceland
14.7.6.6.4. Sweden
14.7.6.6.5. Norway
14.7.7. Benelux
Union
14.7.7.1. Benelux
Union Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Offering
14.7.7.1.1. Hardware
14.7.7.1.2. Software
14.7.7.1.2.1. Cloud
14.7.7.1.2.2. On
Premise
14.7.7.1.3. Services
14.7.7.1.3.1. Training
and Consulting
14.7.7.1.3.2. Implementation
and Maintenance
14.7.7.1.3.3. Design
and Development
14.7.7.1.3.4. Others
14.7.7.2. Benelux
Union Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Organization Size
14.7.7.2.1. Small
and Medium Enterprises
14.7.7.2.2. Large
Enterprises
14.7.7.3. Benelux
Union Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By End-User
14.7.7.3.1. Healthcare
14.7.7.3.2. Transportation
and Logistics
14.7.7.3.3. Manufacturing
14.7.7.3.4. Automotive
14.7.7.3.5. Agriculture
14.7.7.3.6. Aerospace
and Defence
14.7.7.3.7. Food
and Beverages
14.7.7.3.8. Aerospace
and Defense
14.7.7.3.9. Retail
and Consumer Goods
14.7.7.3.10. Others
14.7.7.4. Benelux
Union Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Technology
14.7.7.4.1. Machine
Learning
14.7.7.4.2. Natural
Language Processing
14.7.7.4.3. Computer
Vision
14.7.7.4.4. Others
14.7.7.5. Benelux
Union Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Application
14.7.7.5.1. Fleet
Management
14.7.7.5.2. Warehouse
Management
14.7.7.5.3. Customer
Relationship Management
14.7.7.5.4. Supply
Chain Visibility
14.7.7.5.5. Risk
Analysis
14.7.7.5.6. Quality
and Compliance
14.7.7.5.7. Robotic
Automation
14.7.7.5.8. Sourcing
and Supply Management
14.7.7.5.9. Route
Optimization
14.7.7.5.10. Others
14.7.7.6. Benelux
Union Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Country
14.7.7.6.1. Belgium
14.7.7.6.2. The
Netherlands
14.7.7.6.3. Luxembourg
14.7.8. Rest of
Europe
14.7.8.1. Rest
of Europe Artificial Intelligence in Supply Chain Management Market Revenue
(US$ Mn) and Forecasts, By Offering
14.7.8.1.1. Hardware
14.7.8.1.2. Software
14.7.8.1.2.1. Cloud
14.7.8.1.2.2. On
Premise
14.7.8.1.3. Services
14.7.8.1.3.1. Training
and Consulting
14.7.8.1.3.2. Implementation
and Maintenance
14.7.8.1.3.3. Design
and Development
14.7.8.1.3.4. Others
14.7.8.2. Rest
of Europe Artificial Intelligence in Supply Chain Management Market Revenue
(US$ Mn) and Forecasts, By Organization Size
14.7.8.2.1. Small
and Medium Enterprises
14.7.8.2.2. Large
Enterprises
14.7.8.3. Rest
of Europe Artificial Intelligence in Supply Chain Management Market Revenue
(US$ Mn) and Forecasts, By End-User
14.7.8.3.1. Healthcare
14.7.8.3.2. Transportation
and Logistics
14.7.8.3.3. Manufacturing
14.7.8.3.4. Automotive
14.7.8.3.5. Agriculture
14.7.8.3.6. Aerospace
and Defence
14.7.8.3.7. Food
and Beverages
14.7.8.3.8. Aerospace
and Defense
14.7.8.3.9. Retail
and Consumer Goods
14.7.8.3.10. Others
14.7.8.4. Rest
of Europe Artificial Intelligence in Supply Chain Management Market Revenue
(US$ Mn) and Forecasts, By Technology
14.7.8.4.1. Machine
Learning
14.7.8.4.2. Natural
Language Processing
14.7.8.4.3. Computer
Vision
14.7.8.4.4. Others
14.7.8.5. Rest
of Europe Artificial Intelligence in Supply Chain Management Market Revenue
(US$ Mn) and Forecasts, By Application
14.7.8.5.1. Fleet
Management
14.7.8.5.2. Warehouse
Management
14.7.8.5.3. Customer
Relationship Management
14.7.8.5.4. Supply
Chain Visibility
14.7.8.5.5. Risk
Analysis
14.7.8.5.6. Quality
and Compliance
14.7.8.5.7. Robotic
Automation
14.7.8.5.8. Sourcing
and Supply Management
14.7.8.5.9. Route
Optimization
14.7.8.5.10. Others
14.8. Key
Segment for Channeling Investments
14.8.1. By
Country
14.8.2. By
Offering
14.8.3. By
Organization Size
14.8.4. By
End-User
14.8.5. By
Technology
14.8.6. By
Application
15. Asia
Pacific Artificial Intelligence in Supply Chain Management Market Analysis and
Forecasts, 2020 - 2028
15.1. Overview
15.1.1. Asia
Pacific Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn)
15.2. Asia
Pacific Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Offering
15.2.1. Hardware
15.2.2. Software
15.2.2.1. Cloud
15.2.2.2. On
Premise
15.2.3. Services
15.2.3.1. Training
and Consulting
15.2.3.2. Implementation
and Maintenance
15.2.3.3. Design
and Development
15.2.3.4. Others
15.3. Asia
Pacific Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Organization Size
15.3.1. Small
and Medium Enterprises
15.3.2. Large
Enterprises
15.4. Asia
Pacific Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By End-User
15.4.1. Healthcare
15.4.2. Transportation
and Logistics
15.4.3. Manufacturing
15.4.4. Automotive
15.4.5. Agriculture
15.4.6. Aerospace
and Defence
15.4.7. Food
and Beverages
15.4.8. Aerospace
and Defense
15.4.9. Retail
and Consumer Goods
15.4.10. Others
15.5. Asia
Pacific Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Technology
15.5.1. Machine
Learning
15.5.2. Natural
Language Processing
15.5.3. Computer
Vision
15.5.4. Others
15.6. Asia
Pacific Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Application
15.6.1. Fleet
Management
15.6.2. Warehouse
Management
15.6.3. Customer
Relationship Management
15.6.4. Supply
Chain Visibility
15.6.5. Risk
Analysis
15.6.6. Quality
and Compliance
15.6.7. Robotic
Automation
15.6.8. Sourcing
and Supply Management
15.6.9. Route
Optimization
15.6.10. Others
15.7. Asia
Pacific Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Country
15.7.1. China
15.7.1.1. China
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Offering
15.7.1.1.1. Hardware
15.7.1.1.2. Software
15.7.1.1.2.1. Cloud
15.7.1.1.2.2. On
Premise
15.7.1.1.3. Services
15.7.1.1.3.1. Training
and Consulting
15.7.1.1.3.2. Implementation
and Maintenance
15.7.1.1.3.3. Design
and Development
15.7.1.1.3.4. Others
15.7.1.2. China
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Organization Size
15.7.1.2.1. Small
and Medium Enterprises
15.7.1.2.2. Large
Enterprises
15.7.1.3. China
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By End-User
15.7.1.3.1. Healthcare
15.7.1.3.2. Transportation
and Logistics
15.7.1.3.3. Manufacturing
15.7.1.3.4. Automotive
15.7.1.3.5. Agriculture
15.7.1.3.6. Aerospace
and Defence
15.7.1.3.7. Food
and Beverages
15.7.1.3.8. Aerospace
and Defense
15.7.1.3.9. Retail
and Consumer Goods
15.7.1.3.10. Others
15.7.1.4. China
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Technology
15.7.1.4.1. Machine
Learning
15.7.1.4.2. Natural
Language Processing
15.7.1.4.3. Computer
Vision
15.7.1.4.4. Others
15.7.1.5. China
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Application
15.7.1.5.1. Fleet
Management
15.7.1.5.2. Warehouse
Management
15.7.1.5.3. Customer
Relationship Management
15.7.1.5.4. Supply
Chain Visibility
15.7.1.5.5. Risk
Analysis
15.7.1.5.6. Quality
and Compliance
15.7.1.5.7. Robotic
Automation
15.7.1.5.8. Sourcing
and Supply Management
15.7.1.5.9. Route
Optimization
15.7.1.5.10. Others
15.7.2. Japan
15.7.2.1. Japan
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Offering
15.7.2.1.1. Hardware
15.7.2.1.2. Software
15.7.2.1.2.1. Cloud
15.7.2.1.2.2. On
Premise
15.7.2.1.3. Services
15.7.2.1.3.1. Training
and Consulting
15.7.2.1.3.2. Implementation
and Maintenance
15.7.2.1.3.3. Design
and Development
15.7.2.1.3.4. Others
15.7.2.2. Japan
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Organization Size
15.7.2.2.1. Small
and Medium Enterprises
15.7.2.2.2. Large
Enterprises
15.7.2.3. Japan
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By End-User
15.7.2.3.1. Healthcare
15.7.2.3.2. Transportation
and Logistics
15.7.2.3.3. Manufacturing
15.7.2.3.4. Automotive
15.7.2.3.5. Agriculture
15.7.2.3.6. Aerospace
and Defence
15.7.2.3.7. Food
and Beverages
15.7.2.3.8. Aerospace
and Defense
15.7.2.3.9. Retail
and Consumer Goods
15.7.2.3.10. Others
15.7.2.4. Japan
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Technology
15.7.2.4.1. Machine
Learning
15.7.2.4.2. Natural
Language Processing
15.7.2.4.3. Computer
Vision
15.7.2.4.4. Others
15.7.2.5. Japan
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Application
15.7.2.5.1. Fleet
Management
15.7.2.5.2. Warehouse
Management
15.7.2.5.3. Customer
Relationship Management
15.7.2.5.4. Supply
Chain Visibility
15.7.2.5.5. Risk
Analysis
15.7.2.5.6. Quality
and Compliance
15.7.2.5.7. Robotic
Automation
15.7.2.5.8. Sourcing
and Supply Management
15.7.2.5.9. Route
Optimization
15.7.2.5.10. Others
15.7.3. India
15.7.3.1. India
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Offering
15.7.3.1.1. Hardware
15.7.3.1.2. Software
15.7.3.1.2.1. Cloud
15.7.3.1.2.2. On
Premise
15.7.3.1.3. Services
15.7.3.1.3.1. Training
and Consulting
15.7.3.1.3.2. Implementation
and Maintenance
15.7.3.1.3.3. Design
and Development
15.7.3.1.3.4. Others
15.7.3.2. India
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Organization Size
15.7.3.2.1. Small
and Medium Enterprises
15.7.3.2.2. Large
Enterprises
15.7.3.3. India
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By End-User
15.7.3.3.1. Healthcare
15.7.3.3.2. Transportation
and Logistics
15.7.3.3.3. Manufacturing
15.7.3.3.4. Automotive
15.7.3.3.5. Agriculture
15.7.3.3.6. Aerospace
and Defence
15.7.3.3.7. Food
and Beverages
15.7.3.3.8. Aerospace
and Defense
15.7.3.3.9. Retail
and Consumer Goods
15.7.3.3.10. Others
15.7.3.4. India
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Technology
15.7.3.4.1. Machine
Learning
15.7.3.4.2. Natural
Language Processing
15.7.3.4.3. Computer
Vision
15.7.3.4.4. Others
15.7.3.5. India
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Application
15.7.3.5.1. Fleet
Management
15.7.3.5.2. Warehouse
Management
15.7.3.5.3. Customer
Relationship Management
15.7.3.5.4. Supply
Chain Visibility
15.7.3.5.5. Risk
Analysis
15.7.3.5.6. Quality
and Compliance
15.7.3.5.7. Robotic
Automation
15.7.3.5.8. Sourcing
and Supply Management
15.7.3.5.9. Route
Optimization
15.7.3.5.10. Others
15.7.4. New
Zealand
15.7.4.1. New
Zealand Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Offering
15.7.4.1.1. Hardware
15.7.4.1.2. Software
15.7.4.1.2.1. Cloud
15.7.4.1.2.2. On
Premise
15.7.4.1.3. Services
15.7.4.1.3.1. Training
and Consulting
15.7.4.1.3.2. Implementation
and Maintenance
15.7.4.1.3.3. Design
and Development
15.7.4.1.3.4. Others
15.7.4.2. New
Zealand Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Organization Size
15.7.4.2.1. Small
and Medium Enterprises
15.7.4.2.2. Large
Enterprises
15.7.4.3. New
Zealand Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By End-User
15.7.4.3.1. Healthcare
15.7.4.3.2. Transportation
and Logistics
15.7.4.3.3. Manufacturing
15.7.4.3.4. Automotive
15.7.4.3.5. Agriculture
15.7.4.3.6. Aerospace
and Defence
15.7.4.3.7. Food
and Beverages
15.7.4.3.8. Aerospace
and Defense
15.7.4.3.9. Retail
and Consumer Goods
15.7.4.3.10. Others
15.7.4.4. New
Zealand Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Technology
15.7.4.4.1. Machine
Learning
15.7.4.4.2. Natural
Language Processing
15.7.4.4.3. Computer
Vision
15.7.4.4.4. Others
15.7.4.5. New
Zealand Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Application
15.7.4.5.1. Fleet
Management
15.7.4.5.2. Warehouse
Management
15.7.4.5.3. Customer
Relationship Management
15.7.4.5.4. Supply
Chain Visibility
15.7.4.5.5. Risk
Analysis
15.7.4.5.6. Quality
and Compliance
15.7.4.5.7. Robotic
Automation
15.7.4.5.8. Sourcing
and Supply Management
15.7.4.5.9. Route
Optimization
15.7.4.5.10. Others
15.7.5. Australia
15.7.5.1. Australia
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Offering
15.7.5.1.1. Hardware
15.7.5.1.2. Software
15.7.5.1.2.1. Cloud
15.7.5.1.2.2. On
Premise
15.7.5.1.3. Services
15.7.5.1.3.1. Training
and Consulting
15.7.5.1.3.2. Implementation
and Maintenance
15.7.5.1.3.3. Design
and Development
15.7.5.1.3.4. Others
15.7.5.2. Australia
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Organization Size
15.7.5.2.1. Small
and Medium Enterprises
15.7.5.2.2. Large
Enterprises
15.7.5.3. Australia
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By End-User
15.7.5.3.1. Healthcare
15.7.5.3.2. Transportation
and Logistics
15.7.5.3.3. Manufacturing
15.7.5.3.4. Automotive
15.7.5.3.5. Agriculture
15.7.5.3.6. Aerospace
and Defence
15.7.5.3.7. Food
and Beverages
15.7.5.3.8. Aerospace
and Defense
15.7.5.3.9. Retail
and Consumer Goods
15.7.5.3.10. Others
15.7.5.4. Australia
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Technology
15.7.5.4.1. Machine
Learning
15.7.5.4.2. Natural
Language Processing
15.7.5.4.3. Computer
Vision
15.7.5.4.4. Others
15.7.5.5. Australia
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Application
15.7.5.5.1. Fleet
Management
15.7.5.5.2. Warehouse
Management
15.7.5.5.3. Customer
Relationship Management
15.7.5.5.4. Supply
Chain Visibility
15.7.5.5.5. Risk
Analysis
15.7.5.5.6. Quality
and Compliance
15.7.5.5.7. Robotic
Automation
15.7.5.5.8. Sourcing
and Supply Management
15.7.5.5.9. Route
Optimization
15.7.5.5.10. Others
15.7.6. South
Korea
15.7.6.1. South
Korea Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Offering
15.7.6.1.1. Hardware
15.7.6.1.2. Software
15.7.6.1.2.1. Cloud
15.7.6.1.2.2. On
Premise
15.7.6.1.3. Services
15.7.6.1.3.1. Training
and Consulting
15.7.6.1.3.2. Implementation
and Maintenance
15.7.6.1.3.3. Design
and Development
15.7.6.1.3.4. Others
15.7.6.2. South
Korea Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Organization Size
15.7.6.2.1. Small
and Medium Enterprises
15.7.6.2.2. Large
Enterprises
15.7.6.3. South
Korea Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By End-User
15.7.6.3.1. Healthcare
15.7.6.3.2. Transportation
and Logistics
15.7.6.3.3. Manufacturing
15.7.6.3.4. Automotive
15.7.6.3.5. Agriculture
15.7.6.3.6. Aerospace
and Defence
15.7.6.3.7. Food
and Beverages
15.7.6.3.8. Aerospace
and Defense
15.7.6.3.9. Retail
and Consumer Goods
15.7.6.3.10. Others
15.7.6.4. South
Korea Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Technology
15.7.6.4.1. Machine
Learning
15.7.6.4.2. Natural
Language Processing
15.7.6.4.3. Computer
Vision
15.7.6.4.4. Others
15.7.6.5. South
Korea Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Application
15.7.6.5.1. Fleet
Management
15.7.6.5.2. Warehouse
Management
15.7.6.5.3. Customer
Relationship Management
15.7.6.5.4. Supply
Chain Visibility
15.7.6.5.5. Risk
Analysis
15.7.6.5.6. Quality
and Compliance
15.7.6.5.7. Robotic
Automation
15.7.6.5.8. Sourcing
and Supply Management
15.7.6.5.9. Route
Optimization
15.7.6.5.10. Others
15.7.7. Southeast
Asia
15.7.7.1. Southeast
Asia Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn)
and Forecasts, By Offering
15.7.7.1.1. Hardware
15.7.7.1.2. Software
15.7.7.1.2.1. Cloud
15.7.7.1.2.2. On
Premise
15.7.7.1.3. Services
15.7.7.1.3.1. Training
and Consulting
15.7.7.1.3.2. Implementation
and Maintenance
15.7.7.1.3.3. Design
and Development
15.7.7.1.3.4. Others
15.7.7.2. Southeast
Asia Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn)
and Forecasts, By Organization Size
15.7.7.2.1. Small
and Medium Enterprises
15.7.7.2.2. Large
Enterprises
15.7.7.3. Southeast
Asia Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn)
and Forecasts, By End-User
15.7.7.3.1. Healthcare
15.7.7.3.2. Transportation
and Logistics
15.7.7.3.3. Manufacturing
15.7.7.3.4. Automotive
15.7.7.3.5. Agriculture
15.7.7.3.6. Aerospace
and Defence
15.7.7.3.7. Food
and Beverages
15.7.7.3.8. Aerospace
and Defense
15.7.7.3.9. Retail
and Consumer Goods
15.7.7.3.10. Others
15.7.7.4. Southeast
Asia Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn)
and Forecasts, By Technology
15.7.7.4.1. Machine
Learning
15.7.7.4.2. Natural
Language Processing
15.7.7.4.3. Computer
Vision
15.7.7.4.4. Others
15.7.7.5. Southeast
Asia Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn)
and Forecasts, By Application
15.7.7.5.1. Fleet
Management
15.7.7.5.2. Warehouse
Management
15.7.7.5.3. Customer
Relationship Management
15.7.7.5.4. Supply
Chain Visibility
15.7.7.5.5. Risk
Analysis
15.7.7.5.6. Quality
and Compliance
15.7.7.5.7. Robotic
Automation
15.7.7.5.8. Sourcing
and Supply Management
15.7.7.5.9. Route
Optimization
15.7.7.5.10. Others
15.7.7.6. Southeast
Asia Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn)
and Forecasts, By Country
15.7.7.6.1. Indonesia
15.7.7.6.2. Thailand
15.7.7.6.3. Malaysia
15.7.7.6.4. Singapore
15.7.7.6.5. Rest
of Southeast Asia
15.7.8. Rest of
Asia Pacific
15.7.8.1. Rest
of Asia Pacific Artificial Intelligence in Supply Chain Management Market
Revenue (US$ Mn) and Forecasts, By Offering
15.7.8.1.1. Hardware
15.7.8.1.2. Software
15.7.8.1.2.1. Cloud
15.7.8.1.2.2. On
Premise
15.7.8.1.3. Services
15.7.8.1.3.1. Training
and Consulting
15.7.8.1.3.2. Implementation
and Maintenance
15.7.8.1.3.3. Design
and Development
15.7.8.1.3.4. Others
15.7.8.2. Rest
of Asia Pacific Artificial Intelligence in Supply Chain Management Market
Revenue (US$ Mn) and Forecasts, By Organization Size
15.7.8.2.1. Small
and Medium Enterprises
15.7.8.2.2. Large
Enterprises
15.7.8.3. Rest
of Asia Pacific Artificial Intelligence in Supply Chain Management Market
Revenue (US$ Mn) and Forecasts, By End-User
15.7.8.3.1. Healthcare
15.7.8.3.2. Transportation
and Logistics
15.7.8.3.3. Manufacturing
15.7.8.3.4. Automotive
15.7.8.3.5. Agriculture
15.7.8.3.6. Aerospace
and Defence
15.7.8.3.7. Food
and Beverages
15.7.8.3.8. Aerospace
and Defense
15.7.8.3.9. Retail
and Consumer Goods
15.7.8.3.10. Others
15.7.8.4. Rest
of Asia Pacific Artificial Intelligence in Supply Chain Management Market
Revenue (US$ Mn) and Forecasts, By Technology
15.7.8.4.1. Machine
Learning
15.7.8.4.2. Natural
Language Processing
15.7.8.4.3. Computer
Vision
15.7.8.4.4. Others
15.7.8.5. Rest
of Asia Pacific Artificial Intelligence in Supply Chain Management Market
Revenue (US$ Mn) and Forecasts, By Application
15.7.8.5.1. Fleet
Management
15.7.8.5.2. Warehouse
Management
15.7.8.5.3. Customer
Relationship Management
15.7.8.5.4. Supply
Chain Visibility
15.7.8.5.5. Risk
Analysis
15.7.8.5.6. Quality
and Compliance
15.7.8.5.7. Robotic
Automation
15.7.8.5.8. Sourcing
and Supply Management
15.7.8.5.9. Route
Optimization
15.7.8.5.10. Others
15.8. Key
Segment for Channeling Investments
15.8.1. By Country
15.8.2. By
Offering
15.8.3. By
Organization Size
15.8.4. By
End-User
15.8.5. By
Technology
15.8.6. By
Application
16. Middle
East and Africa Artificial Intelligence in Supply Chain Management Market
Analysis and Forecasts, 2020 - 2028
16.1. Overview
16.1.1. Middle
East and Africa Artificial Intelligence in Supply Chain Management Market
Revenue (US$ Mn)
16.2. Middle
East and Africa Artificial Intelligence in Supply Chain Management Market
Revenue (US$ Mn) and Forecasts, By Offering
16.2.1. Hardware
16.2.2. Software
16.2.2.1. Cloud
16.2.2.2. On
Premise
16.2.3. Services
16.2.3.1. Training
and Consulting
16.2.3.2. Implementation
and Maintenance
16.2.3.3. Design
and Development
16.2.3.4. Others
16.3. Middle
East and Africa Artificial Intelligence in Supply Chain Management Market
Revenue (US$ Mn) and Forecasts, By Organization Size
16.3.1. Small
and Medium Enterprises
16.3.2. Large
Enterprises
16.4. Middle
East and Africa Artificial Intelligence in Supply Chain Management Market
Revenue (US$ Mn) and Forecasts, By End-User
16.4.1. Healthcare
16.4.2. Transportation
and Logistics
16.4.3. Manufacturing
16.4.4. Automotive
16.4.5. Agriculture
16.4.6. Aerospace
and Defence
16.4.7. Food
and Beverages
16.4.8. Aerospace
and Defense
16.4.9. Retail
and Consumer Goods
16.4.10. Others
16.5. Middle
East and Africa Artificial Intelligence in Supply Chain Management Market
Revenue (US$ Mn) and Forecasts, By Technology
16.5.1. Machine
Learning
16.5.2. Natural
Language Processing
16.5.3. Computer
Vision
16.5.4. Others
16.6. Middle
East and Africa Artificial Intelligence in Supply Chain Management Market
Revenue (US$ Mn) and Forecasts, By Application
16.6.1. Fleet
Management
16.6.2. Warehouse
Management
16.6.3. Customer
Relationship Management
16.6.4. Supply
Chain Visibility
16.6.5. Risk
Analysis
16.6.6. Quality
and Compliance
16.6.7. Robotic
Automation
16.6.8. Sourcing
and Supply Management
16.6.9. Route
Optimization
16.6.10. Others
16.7. Middle
East and Africa Artificial Intelligence in Supply Chain Management Market
Revenue (US$ Mn) and Forecasts, By Country
16.7.1. Saudi
Arabia
16.7.1.1. Saudi
Arabia Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Offering
16.7.1.1.1. Hardware
16.7.1.1.2. Software
16.7.1.1.2.1. Cloud
16.7.1.1.2.2. On
Premise
16.7.1.1.3. Services
16.7.1.1.3.1. Training
and Consulting
16.7.1.1.3.2. Implementation
and Maintenance
16.7.1.1.3.3. Design
and Development
16.7.1.1.3.4. Others
16.7.1.2. Saudi
Arabia Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Organization Size
16.7.1.2.1. Small
and Medium Enterprises
16.7.1.2.2. Large
Enterprises
16.7.1.3. Saudi
Arabia Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By End-User
16.7.1.3.1. Healthcare
16.7.1.3.2. Transportation
and Logistics
16.7.1.3.3. Manufacturing
16.7.1.3.4. Automotive
16.7.1.3.5. Agriculture
16.7.1.3.6. Aerospace
and Defence
16.7.1.3.7. Food
and Beverages
16.7.1.3.8. Aerospace
and Defense
16.7.1.3.9. Retail
and Consumer Goods
16.7.1.3.10. Others
16.7.1.4. Saudi
Arabia Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Technology
16.7.1.4.1. Machine
Learning
16.7.1.4.2. Natural
Language Processing
16.7.1.4.3. Computer
Vision
16.7.1.4.4. Others
16.7.1.5. Saudi
Arabia Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Application
16.7.1.5.1. Fleet
Management
16.7.1.5.2. Warehouse
Management
16.7.1.5.3. Customer
Relationship Management
16.7.1.5.4. Supply
Chain Visibility
16.7.1.5.5. Risk
Analysis
16.7.1.5.6. Quality
and Compliance
16.7.1.5.7. Robotic
Automation
16.7.1.5.8. Sourcing
and Supply Management
16.7.1.5.9. Route
Optimization
16.7.1.5.10. Others
16.7.2. UAE
16.7.2.1. UAE
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Offering
16.7.2.1.1. Hardware
16.7.2.1.2. Software
16.7.2.1.2.1. Cloud
16.7.2.1.2.2. On
Premise
16.7.2.1.3. Services
16.7.2.1.3.1. Training
and Consulting
16.7.2.1.3.2. Implementation
and Maintenance
16.7.2.1.3.3. Design
and Development
16.7.2.1.3.4. Others
16.7.2.2. UAE
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Organization Size
16.7.2.2.1. Small
and Medium Enterprises
16.7.2.2.2. Large
Enterprises
16.7.2.3. UAE
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By End-User
16.7.2.3.1. Healthcare
16.7.2.3.2. Transportation
and Logistics
16.7.2.3.3. Manufacturing
16.7.2.3.4. Automotive
16.7.2.3.5. Agriculture
16.7.2.3.6. Aerospace
and Defence
16.7.2.3.7. Food
and Beverages
16.7.2.3.8. Aerospace
and Defense
16.7.2.3.9. Retail
and Consumer Goods
16.7.2.3.10. Others
16.7.2.4. UAE
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Technology
16.7.2.4.1. Machine
Learning
16.7.2.4.2. Natural
Language Processing
16.7.2.4.3. Computer
Vision
16.7.2.4.4. Others
16.7.2.5. UAE
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Application
16.7.2.5.1. Fleet
Management
16.7.2.5.2. Warehouse
Management
16.7.2.5.3. Customer
Relationship Management
16.7.2.5.4. Supply
Chain Visibility
16.7.2.5.5. Risk
Analysis
16.7.2.5.6. Quality
and Compliance
16.7.2.5.7. Robotic
Automation
16.7.2.5.8. Sourcing
and Supply Management
16.7.2.5.9. Route
Optimization
16.7.2.5.10. Others
16.7.3. Egypt
16.7.3.1. Egypt
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Offering
16.7.3.1.1. Hardware
16.7.3.1.2. Software
16.7.3.1.2.1. Cloud
16.7.3.1.2.2. On
Premise
16.7.3.1.3. Services
16.7.3.1.3.1. Training
and Consulting
16.7.3.1.3.2. Implementation
and Maintenance
16.7.3.1.3.3. Design
and Development
16.7.3.1.3.4. Others
16.7.3.2. Egypt
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Organization Size
16.7.3.2.1. Small
and Medium Enterprises
16.7.3.2.2. Large
Enterprises
16.7.3.3. Egypt
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By End-User
16.7.3.3.1. Healthcare
16.7.3.3.2. Transportation
and Logistics
16.7.3.3.3. Manufacturing
16.7.3.3.4. Automotive
16.7.3.3.5. Agriculture
16.7.3.3.6. Aerospace
and Defence
16.7.3.3.7. Food
and Beverages
16.7.3.3.8. Aerospace
and Defense
16.7.3.3.9. Retail
and Consumer Goods
16.7.3.3.10. Others
16.7.3.4. Egypt
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Technology
16.7.3.4.1. Machine
Learning
16.7.3.4.2. Natural
Language Processing
16.7.3.4.3. Computer
Vision
16.7.3.4.4. Others
16.7.3.5. Egypt
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Application
16.7.3.5.1. Fleet
Management
16.7.3.5.2. Warehouse
Management
16.7.3.5.3. Customer
Relationship Management
16.7.3.5.4. Supply
Chain Visibility
16.7.3.5.5. Risk
Analysis
16.7.3.5.6. Quality
and Compliance
16.7.3.5.7. Robotic
Automation
16.7.3.5.8. Sourcing
and Supply Management
16.7.3.5.9. Route
Optimization
16.7.3.5.10. Others
16.7.4. Kuwait
16.7.4.1. Kuwait
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Offering
16.7.4.1.1. Hardware
16.7.4.1.2. Software
16.7.4.1.2.1. Cloud
16.7.4.1.2.2. On
Premise
16.7.4.1.3. Services
16.7.4.1.3.1. Training
and Consulting
16.7.4.1.3.2. Implementation
and Maintenance
16.7.4.1.3.3. Design
and Development
16.7.4.1.3.4. Others
16.7.4.2. Kuwait
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and Forecasts,
By Organization Size
16.7.4.2.1. Small
and Medium Enterprises
16.7.4.2.2. Large
Enterprises
16.7.4.3. Kuwait
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By End-User
16.7.4.3.1. Healthcare
16.7.4.3.2. Transportation
and Logistics
16.7.4.3.3. Manufacturing
16.7.4.3.4. Automotive
16.7.4.3.5. Agriculture
16.7.4.3.6. Aerospace
and Defence
16.7.4.3.7. Food
and Beverages
16.7.4.3.8. Aerospace
and Defense
16.7.4.3.9. Retail
and Consumer Goods
16.7.4.3.10. Others
16.7.4.4. Kuwait
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Technology
16.7.4.4.1. Machine
Learning
16.7.4.4.2. Natural
Language Processing
16.7.4.4.3. Computer
Vision
16.7.4.4.4. Others
16.7.4.5. Kuwait
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Application
16.7.4.5.1. Fleet
Management
16.7.4.5.2. Warehouse
Management
16.7.4.5.3. Customer
Relationship Management
16.7.4.5.4. Supply
Chain Visibility
16.7.4.5.5. Risk
Analysis
16.7.4.5.6. Quality
and Compliance
16.7.4.5.7. Robotic
Automation
16.7.4.5.8. Sourcing
and Supply Management
16.7.4.5.9. Route
Optimization
16.7.4.5.10. Others
16.7.5. South
Africa
16.7.5.1. South
Africa Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Offering
16.7.5.1.1. Hardware
16.7.5.1.2. Software
16.7.5.1.2.1. Cloud
16.7.5.1.2.2. On
Premise
16.7.5.1.3. Services
16.7.5.1.3.1. Training
and Consulting
16.7.5.1.3.2. Implementation
and Maintenance
16.7.5.1.3.3. Design
and Development
16.7.5.1.3.4. Others
16.7.5.2. South
Africa Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Organization Size
16.7.5.2.1. Small
and Medium Enterprises
16.7.5.2.2. Large
Enterprises
16.7.5.3. South
Africa Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By End-User
16.7.5.3.1. Healthcare
16.7.5.3.2. Transportation
and Logistics
16.7.5.3.3. Manufacturing
16.7.5.3.4. Automotive
16.7.5.3.5. Agriculture
16.7.5.3.6. Aerospace
and Defence
16.7.5.3.7. Food
and Beverages
16.7.5.3.8. Aerospace
and Defense
16.7.5.3.9. Retail
and Consumer Goods
16.7.5.3.10. Others
16.7.5.4. South
Africa Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Technology
16.7.5.4.1. Machine
Learning
16.7.5.4.2. Natural
Language Processing
16.7.5.4.3. Computer
Vision
16.7.5.4.4. Others
16.7.5.5. South
Africa Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Application
16.7.5.5.1. Fleet
Management
16.7.5.5.2. Warehouse
Management
16.7.5.5.3. Customer
Relationship Management
16.7.5.5.4. Supply
Chain Visibility
16.7.5.5.5. Risk
Analysis
16.7.5.5.6. Quality
and Compliance
16.7.5.5.7. Robotic
Automation
16.7.5.5.8. Sourcing
and Supply Management
16.7.5.5.9. Route
Optimization
16.7.5.5.10. Others
16.7.6. Rest of
Middle East & Africa
16.7.6.1. Rest
of Middle East & Africa Artificial Intelligence in Supply Chain Management
Market Revenue (US$ Mn) and Forecasts, By Offering
16.7.6.1.1. Hardware
16.7.6.1.2. Software
16.7.6.1.2.1. Cloud
16.7.6.1.2.2. On
Premise
16.7.6.1.3. Services
16.7.6.1.3.1. Training
and Consulting
16.7.6.1.3.2. Implementation
and Maintenance
16.7.6.1.3.3. Design
and Development
16.7.6.1.3.4. Others
16.7.6.2. Rest
of Middle East & Africa Artificial Intelligence in Supply Chain Management
Market Revenue (US$ Mn) and Forecasts, By Organization Size
16.7.6.2.1. Small
and Medium Enterprises
16.7.6.2.2. Large
Enterprises
16.7.6.3. Rest
of Middle East & Africa Artificial Intelligence in Supply Chain Management
Market Revenue (US$ Mn) and Forecasts, By End-User
16.7.6.3.1. Healthcare
16.7.6.3.2. Transportation
and Logistics
16.7.6.3.3. Manufacturing
16.7.6.3.4. Automotive
16.7.6.3.5. Agriculture
16.7.6.3.6. Aerospace
and Defence
16.7.6.3.7. Food
and Beverages
16.7.6.3.8. Aerospace
and Defense
16.7.6.3.9. Retail
and Consumer Goods
16.7.6.3.10. Others
16.7.6.4. Rest
of Middle East & Africa Artificial Intelligence in Supply Chain Management
Market Revenue (US$ Mn) and Forecasts, By Technology
16.7.6.4.1. Machine
Learning
16.7.6.4.2. Natural
Language Processing
16.7.6.4.3. Computer
Vision
16.7.6.4.4. Others
16.7.6.5. Rest
of Middle East & Africa Artificial Intelligence in Supply Chain Management
Market Revenue (US$ Mn) and Forecasts, By Application
16.7.6.5.1. Fleet
Management
16.7.6.5.2. Warehouse
Management
16.7.6.5.3. Customer
Relationship Management
16.7.6.5.4. Supply
Chain Visibility
16.7.6.5.5. Risk
Analysis
16.7.6.5.6. Quality
and Compliance
16.7.6.5.7. Robotic
Automation
16.7.6.5.8. Sourcing
and Supply Management
16.7.6.5.9. Route
Optimization
16.7.6.5.10. Others
16.8. Key
Segment for Channeling Investments
16.8.1. By
Country
16.8.2. By
Offering
16.8.3. By
Organization Size
16.8.4. By
End-User
16.8.5. By
Technology
16.8.6. By
Application
17. Latin
America Artificial Intelligence in Supply Chain Management Market Analysis and
Forecasts, 2020 - 2028
17.1. Overview
17.1.1. Latin
America Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn)
17.2. Latin
America Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Offering
17.2.1. Hardware
17.2.2. Software
17.2.2.1. Cloud
17.2.2.2. On
Premise
17.2.3. Services
17.2.3.1. Training
and Consulting
17.2.3.2. Implementation
and Maintenance
17.2.3.3. Design
and Development
17.2.3.4. Others
17.3. Latin
America Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Organization Size
17.3.1. Small
and Medium Enterprises
17.3.2. Large
Enterprises
17.4. Latin
America Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By End-User
17.4.1. Healthcare
17.4.2. Transportation
and Logistics
17.4.3. Manufacturing
17.4.4. Automotive
17.4.5. Agriculture
17.4.6. Aerospace
and Defence
17.4.7. Food
and Beverages
17.4.8. Aerospace
and Defense
17.4.9. Retail
and Consumer Goods
17.4.10. Others
17.5. Latin
America Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Technology
17.5.1. Machine
Learning
17.5.2. Natural
Language Processing
17.5.3. Computer
Vision
17.5.4. Others
17.6. Latin
America Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Application
17.6.1. Fleet
Management
17.6.2. Warehouse
Management
17.6.3. Customer
Relationship Management
17.6.4. Supply
Chain Visibility
17.6.5. Risk
Analysis
17.6.6. Quality
and Compliance
17.6.7. Robotic
Automation
17.6.8. Sourcing
and Supply Management
17.6.9. Route
Optimization
17.6.10. Others
17.7. Latin
America Artificial Intelligence in Supply Chain Management Market Revenue (US$
Mn) and Forecasts, By Country
17.7.1. Brazil
17.7.1.1. Brazil
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Offering
17.7.1.1.1. Hardware
17.7.1.1.2. Software
17.7.1.1.2.1. Cloud
17.7.1.1.2.2. On
Premise
17.7.1.1.3. Services
17.7.1.1.3.1. Training
and Consulting
17.7.1.1.3.2. Implementation
and Maintenance
17.7.1.1.3.3. Design
and Development
17.7.1.1.3.4. Others
17.7.1.2. Brazil
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Organization Size
17.7.1.2.1. Small
and Medium Enterprises
17.7.1.2.2. Large
Enterprises
17.7.1.3. Brazil
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By End-User
17.7.1.3.1. Healthcare
17.7.1.3.2. Transportation
and Logistics
17.7.1.3.3. Manufacturing
17.7.1.3.4. Automotive
17.7.1.3.5. Agriculture
17.7.1.3.6. Aerospace
and Defence
17.7.1.3.7. Food
and Beverages
17.7.1.3.8. Aerospace
and Defense
17.7.1.3.9. Retail
and Consumer Goods
17.7.1.3.10. Others
17.7.1.4. Brazil
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Technology
17.7.1.4.1. Machine
Learning
17.7.1.4.2. Natural
Language Processing
17.7.1.4.3. Computer
Vision
17.7.1.4.4. Others
17.7.1.5. Brazil
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Application
17.7.1.5.1. Fleet
Management
17.7.1.5.2. Warehouse
Management
17.7.1.5.3. Customer
Relationship Management
17.7.1.5.4. Supply
Chain Visibility
17.7.1.5.5. Risk
Analysis
17.7.1.5.6. Quality
and Compliance
17.7.1.5.7. Robotic
Automation
17.7.1.5.8. Sourcing
and Supply Management
17.7.1.5.9. Route
Optimization
17.7.1.5.10. Others
17.7.2. Argentina
17.7.2.1. Argentina
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Offering
17.7.2.1.1. Hardware
17.7.2.1.2. Software
17.7.2.1.2.1. Cloud
17.7.2.1.2.2. On
Premise
17.7.2.1.3. Services
17.7.2.1.3.1. Training
and Consulting
17.7.2.1.3.2. Implementation
and Maintenance
17.7.2.1.3.3. Design
and Development
17.7.2.1.3.4. Others
17.7.2.2. Argentina
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Organization Size
17.7.2.2.1. Small
and Medium Enterprises
17.7.2.2.2. Large
Enterprises
17.7.2.3. Argentina
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By End-User
17.7.2.3.1. Healthcare
17.7.2.3.2. Transportation
and Logistics
17.7.2.3.3. Manufacturing
17.7.2.3.4. Automotive
17.7.2.3.5. Agriculture
17.7.2.3.6. Aerospace
and Defence
17.7.2.3.7. Food
and Beverages
17.7.2.3.8. Aerospace
and Defense
17.7.2.3.9. Retail
and Consumer Goods
17.7.2.3.10. Others
17.7.2.4. Argentina
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Technology
17.7.2.4.1. Machine
Learning
17.7.2.4.2. Natural
Language Processing
17.7.2.4.3. Computer
Vision
17.7.2.4.4. Others
17.7.2.5. Argentina
Artificial Intelligence in Supply Chain Management Market Revenue (US$ Mn) and
Forecasts, By Application
17.7.2.5.1. Fleet
Management
17.7.2.5.2. Warehouse
Management
17.7.2.5.3. Customer
Relationship Management
17.7.2.5.4. Supply
Chain Visibility
17.7.2.5.5. Risk
Analysis
17.7.2.5.6. Quality
and Compliance
17.7.2.5.7. Robotic
Automation
17.7.2.5.8. Sourcing
and Supply Management
17.7.2.5.9. Route
Optimization
17.7.2.5.10. Others
17.7.3. Rest of
Latin America
17.7.3.1. Rest
of Latin America Artificial Intelligence in Supply Chain Management Market
Revenue (US$ Mn) and Forecasts, By Offering
17.7.3.1.1. Hardware
17.7.3.1.2. Software
17.7.3.1.2.1. Cloud
17.7.3.1.2.2. On
Premise
17.7.3.1.3. Services
17.7.3.1.3.1. Training
and Consulting
17.7.3.1.3.2. Implementation
and Maintenance
17.7.3.1.3.3. Design
and Development
17.7.3.1.3.4. Others
17.7.3.2. Rest
of Latin America Artificial Intelligence in Supply Chain Management Market
Revenue (US$ Mn) and Forecasts, By Organization Size
17.7.3.2.1. Small
and Medium Enterprises
17.7.3.2.2. Large
Enterprises
17.7.3.3. Rest
of Latin America Artificial Intelligence in Supply Chain Management Market
Revenue (US$ Mn) and Forecasts, By End-User
17.7.3.3.1. Healthcare
17.7.3.3.2. Transportation
and Logistics
17.7.3.3.3. Manufacturing
17.7.3.3.4. Automotive
17.7.3.3.5. Agriculture
17.7.3.3.6. Aerospace
and Defence
17.7.3.3.7. Food
and Beverages
17.7.3.3.8. Aerospace
and Defense
17.7.3.3.9. Retail
and Consumer Goods
17.7.3.3.10. Others
17.7.3.4. Rest
of Latin America Artificial Intelligence in Supply Chain Management Market
Revenue (US$ Mn) and Forecasts, By Technology
17.7.3.4.1. Machine
Learning
17.7.3.4.2. Natural
Language Processing
17.7.3.4.3. Computer
Vision
17.7.3.4.4. Others
17.7.3.5. Rest
of Latin America Artificial Intelligence in Supply Chain Management Market
Revenue (US$ Mn) and Forecasts, By Application
17.7.3.5.1. Fleet
Management
17.7.3.5.2. Warehouse
Management
17.7.3.5.3. Customer
Relationship Management
17.7.3.5.4. Supply
Chain Visibility
17.7.3.5.5. Risk
Analysis
17.7.3.5.6. Quality
and Compliance
17.7.3.5.7. Robotic
Automation
17.7.3.5.8. Sourcing
and Supply Management
17.7.3.5.9. Route
Optimization
17.7.3.5.10. Others
17.8. Key
Segment for Channeling Investments
17.8.1. By
Country
17.8.2. By
Offering
17.8.3. By
Organization Size
17.8.4. By
End-User
17.8.5. By
Technology
17.8.6. By
Application
18. Competitive
Benchmarking
18.1. Market
Share Analysis, 2019
18.2. Global
Presence and Growth Strategies
18.2.1. Mergers
and Acquisitions
18.2.2. Product
Launches
18.2.3. Investments
Trends
18.2.4. R&D
Initiatives
19. Player
Profiles
19.1. Accenture
19.1.1. Company
Details
19.1.2. Company
Overview
19.1.3. Product
Offerings
19.1.4. Key
Developments
19.1.5. Financial
Analysis
19.1.6. SWOT
Analysis
19.1.7. Business
Strategies
19.2. ADLINK Technology Inc.
19.2.1. Company
Details
19.2.2. Company
Overview
19.2.3. Product
Offerings
19.2.4. Key
Developments
19.2.5. Financial
Analysis
19.2.6. SWOT
Analysis
19.2.7. Business Strategies
19.3. Aera Technology
19.3.1. Company
Details
19.3.2. Company
Overview
19.3.3. Product
Offerings
19.3.4. Key
Developments
19.3.5. Financial
Analysis
19.3.6. SWOT
Analysis
19.3.7. Business Strategies
19.4. Amazon Web Services, Inc.
19.4.1. Company
Details
19.4.2. Company
Overview
19.4.3. Product
Offerings
19.4.4. Key
Developments
19.4.5. Financial
Analysis
19.4.6. SWOT
Analysis
19.4.7. Business
Strategies
19.5. American Software, Inc. (Logility)
19.5.1. Company
Details
19.5.2. Company
Overview
19.5.3. Product
Offerings
19.5.4. Key
Developments
19.5.5. Financial
Analysis
19.5.6. SWOT
Analysis
19.5.7. Business
Strategies
19.6. Atos SE
19.6.1. Company
Details
19.6.2. Company
Overview
19.6.3. Product
Offerings
19.6.4. Key
Developments
19.6.5. Financial
Analysis
19.6.6. SWOT
Analysis
19.6.7. Business
Strategies
19.7. C3.ai, Inc.
19.7.1. Company
Details
19.7.2. Company
Overview
19.7.3. Product
Offerings
19.7.4. Key
Developments
19.7.5. Financial
Analysis
19.7.6. SWOT
Analysis
19.7.7. Business
Strategies
19.8. Dematic
19.8.1. Company
Details
19.8.2. Company
Overview
19.8.3. Product
Offerings
19.8.4. Key
Developments
19.8.5. Financial
Analysis
19.8.6. SWOT
Analysis
19.8.7. Business
Strategies
19.9. IBM Corporation
19.9.1. Company
Details
19.9.2. Company
Overview
19.9.3. Product
Offerings
19.9.4. Key
Developments
19.9.5. Financial
Analysis
19.9.6. SWOT
Analysis
19.9.7. Business
Strategies
19.10. Infor
19.10.1. Company
Details
19.10.2. Company
Overview
19.10.3. Product
Offerings
19.10.4. Key
Developments
19.10.5. Financial
Analysis
19.10.6. SWOT
Analysis
19.10.7. Business
Strategies
19.11. Infosys Limited
19.11.1. Company
Details
19.11.2. Company
Overview
19.11.3. Product
Offerings
19.11.4. Key
Developments
19.11.5. Financial
Analysis
19.11.6. SWOT
Analysis
19.11.7. Business
Strategies
19.12. Microsoft
19.12.1. Company
Details
19.12.2. Company
Overview
19.12.3. Product
Offerings
19.12.4. Key
Developments
19.12.5. Financial
Analysis
19.12.6. SWOT
Analysis
19.12.7. Business
Strategies
19.13. NVIDIA Corporation
19.13.1. Company
Details
19.13.2. Company
Overview
19.13.3. Product
Offerings
19.13.4. Key
Developments
19.13.5. Financial
Analysis
19.13.6. SWOT
Analysis
19.13.7. Business
Strategies
19.14. o9 Solutions, Inc.
19.14.1. Company
Details
19.14.2. Company
Overview
19.14.3. Product
Offerings
19.14.4. Key
Developments
19.14.5. Financial
Analysis
19.14.6. SWOT Analysis
19.14.7. Business
Strategies
19.15. Oracle
19.15.1. Company
Details
19.15.2. Company
Overview
19.15.3. Product
Offerings
19.15.4. Key
Developments
19.15.5. Financial
Analysis
19.15.6. SWOT
Analysis
19.15.7. Business
Strategies
19.16. SAP SE
19.16.1. Company
Details
19.16.2. Company
Overview
19.16.3. Product
Offerings
19.16.4. Key
Developments
19.16.5. Financial
Analysis
19.16.6. SWOT Analysis
19.16.7. Business
Strategies
19.17. Wipro Limited
19.17.1. Company
Details
19.17.2. Company
Overview
19.17.3. Product
Offerings
19.17.4. Key
Developments
19.17.5. Financial
Analysis
19.17.6. SWOT
Analysis
19.17.7. Business
Strategies
19.18. ZETES
19.18.1. Company
Details
19.18.2. Company
Overview
19.18.3. Product
Offerings
19.18.4. Key
Developments
19.18.5. Financial
Analysis
19.18.6. SWOT
Analysis
19.18.7. Business
Strategies
19.19. Other
Industry Participants
20. Key
Findings
Note: This ToC is tentative
and can be changed according to the research study conducted during the course
of report completion.
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Enterprise User.
At Absolute Markets Insights, we are engaged in building both global as well as country specific reports. As a result, the approach taken for deriving the estimation and forecast for a specific country is a bit unique and different in comparison to the global research studies. In this case, we not only study the concerned market factors & trends prevailing in a particular country (from secondary research) but we also tend to calculate the actual market size & forecast from the revenue generated from the market participants involved in manufacturing or distributing the any concerned product. These companies can also be service providers. For analyzing any country specifically, we do consider the growth factors prevailing under the states/cities/county for the same. For instance, if we are analyzing an industry specific to United States, we primarily need to study about the states present under the same(where the product/service has the highest growth). Similar analysis will be followed by other countries. Our scope of the report changes with different markets.
Our research study is mainly implement through a mix of both secondary and primary research. Various sources such as industry magazines, trade journals, and government websites and trade associations are reviewed for gathering precise data. Primary interviews are conducted to validate the market size derived from secondary research. Industry experts, major manufacturers and distributors are contacted for further validation purpose on the current market penetration and growth trends.
Prominent participants in our primary research process include:
- Key Opinion Leaders namely the CEOs, CSOs, VPs, purchasing managers, amongst others
- Research and development participants, distributors/suppliers and subject matter experts
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- Factiva
- Bloomberg
- One Source
- Hoovers
Research Methodology
Key Inclusions
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