Global Cloud Automated Machine Learning (AutoML) Market By Offering (Platform, Services); By Enterprise Size (Large Enterprise, Small and Medium Size Organizations); By Application (Document Classification, Sentiment analysis, Video analysis, Object detection in images, Face detection from images, Cybersecurity, Risk Assessment, Speech Recognition, Others); By Industry (Banking, Finance and Insurance, IT and Telecom, Agriculture, Media and Entertainment, Healthcare, Government, Retail, Manufacturing, Transportation and Logistics, Energy and Utilities, Others); By Region (North America (U.S., Canada, Mexico, Rest Of North America), Europe (France, The UK, Spain, Germany, Italy, Denmark, Finland, Iceland, Sweden, Norway, 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)) - Global Insights, Growth, Size, Comparative Analysis, Trends and Forecast, 2022 – 2030
Industry Trends
Automated machine learning (AutoML) happens to be the process of automation that deals with the tasks of associated with the application of machine learning to more practical problems or issues that exist in the real world. AutoML is inclusive of raw data set for each and every stage, right from the start with a raw dataset to making a machine learning model that is ready to be deployed. AutoML was conceived as a solution that is based out of artificial intelligence (AI) to tackle the challenge of machine learning application. Rapid levels of automation in the field of automated machined learning focuses primarily on permitting those individuals who are not experts in making the use of machine learning models along with several techniques that too without any need of them to become experts in machine learning. Also the fact, that there are several benefits of using AutoML like delivering simpler solutions, time-saving creation of the solutions, and models that are most of the times much better than models that are hand-designed models helps in the growth of the global cloud automated machine learning (AutoML) market.
One of the biggest advantages of integrating machine learning is that it helps businesses in optimising the data for the purpose of teaching the system how to provide solutions for several problems associated with the algorithms in the machine learning. As the businesses in today’s time have to deal with extensive data, and this is why AutoML plays a bigger role. On the other hand, every technology is growing rampantly with the help of cloud. By integrating cloud hosting or data storage technology in the automated machine learning, businesses can easily conduct experiments with the capabilities of machine learning and scale rapidly as majority of projects are moving in the direction of production. The cloud helps massively by granting access to machine learning capabilities that too in absence of advanced skills in AI or data science.
In terms of revenue, the global cloud automated machine learning (AutoML) market was valued at US$ 589.7 Mn in 2021 growing at a CAGR of 36.7% over the forecast period (2022 – 2030). The study analyses the market in terms of revenue across all the major regions, which have been bifurcated into countries.
Global Cloud Automated Machine Learning (AutoML) Market Revenue & Forecast, (US$ Million), 2015 – 2030
Offering Outlook
Based on the offering outlook, the global cloud automated machine learning (AutoML) market has been segregated into platform and services. The platform segment accounts for majority of revenue generated by this market. As the number of businesses turning towards cloud-based automated machine learning are increasing each passing day, this segment is expected to make more money. Though going ahead, the services segment is forecasted to take over and emerge as the fastest-money maker for the market.
Region Outlook
On the basis of the region, North America will be making massive money for the global cloud automated machine learning (AutoML) market in the year 2021. The primary reason behind this is due to the rising level of investment made from venture capital companies working in the artificial intelligence (AI) domain for the purpose of research and development (R&D, and this helps the automated machine learning segment grow.
Competitive Landscape
The report provides both, qualitative and quantitative research of global cloud automated machine learning (AutoML) 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 global cloud automated machine learning (AutoML) market are
- Amazon Web Services Inc.
- Auger
- DataRobot Inc.
- EdgeVerve Systems Limited
- H20.ai Inc.
- IBM
- JADBio – Gnosis DA S.A.
- Microsoft
- QlikTech International AB
- SAS Institute Inc.
- Other Market Participants
Global Cloud Automated Machine Learning (AutoML) Market:
By Offering
- Platform
- Services
By Enterprise Size
- Large Enterprise
- Small and Medium Size organizations
By Application
- Document Classification
- Sentiment analysis
- Video analysis
- Object detection in images
- Face detection from images
- Cybersecurity
- Risk Assessment
- Speech Recognition
- Others
By Industry
- Banking, Finance and Insurance
- IT and Telecom
- Agriculture
- Media and Entertainment
- Healthcare
- Government
- Retail
- Manufacturing
- Transportation and Logistics
- Energy and Utilities
- 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)
Table of Contents
1.
Market
Scope
1.1. Market Segmentation
1.2. Years Considered
1.2.1. Historic Years: 2015 - 2020
1.2.2. Base Year: 2021
1.2.3. Forecast Years: 2022 – 2030
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 Cloud Automated Machine Learning (AutoML) Market
6.
Market
Synopsis: Cloud Automated Machine
Learning (AutoML) Market
7.
Cloud
Automated Machine Learning (AutoML)
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 Cloud Automated Machine Learning
(AutoML) Market
7.4. Market Determinants Radar Chart
7.5. Macro-Economic and Micro-Economic Indicators:
Cloud Automated Machine Learning (AutoML)
Market
7.6. Porter’s Five Force Analysis
8.
Global
Cloud Automated Machine Learning (AutoML)
Market Analysis and Forecasts, 2022 - 2030
8.1. Overview
8.1.1. Global Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn)
8.2. Global Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Offering
8.2.1. Platform
8.2.1.1.
Definition
8.2.1.2.
Market
Estimation and Penetration, 2015 - 2021
8.2.1.3.
Market
Forecast, 2022 - 2030
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 - 2021
8.2.1.5.1.2. Market Forecast, 2022 - 2030
8.2.1.5.2. Europe
8.2.1.5.2.1. Market Estimation, 2015 - 2021
8.2.1.5.2.2. Market Forecast, 2022 - 2030
8.2.1.5.3. Asia Pacific
8.2.1.5.3.1. Market Estimation, 2015 - 2021
8.2.1.5.3.2. Market Forecast, 2022 - 2030
8.2.1.5.4. Middle East and Africa
8.2.1.5.4.1. Market Estimation, 2015 - 2021
8.2.1.5.4.2. Market Forecast, 2022 - 2030
8.2.1.5.5. Latin America
8.2.1.5.5.1. Market Estimation, 2015 - 2021
8.2.1.5.5.2. Market Forecast, 2022 - 2030
8.2.2. Services
8.2.2.1.
Definition
8.2.2.2.
Market
Estimation and Penetration, 2015 - 2021
8.2.2.3.
Market
Forecast, 2022 - 2030
8.2.2.4.
Compound
Annual Growth Rate (CAGR)
8.2.2.5.
Regional
Bifurcation
8.2.2.5.1. North America
8.2.2.5.1.1. Market Estimation, 2015 - 2021
8.2.2.5.1.2. Market Forecast, 2022 - 2030
8.2.2.5.2. Europe
8.2.2.5.2.1. Market Estimation, 2015 - 2021
8.2.2.5.2.2. Market Forecast, 2022 - 2030
8.2.2.5.3. Asia Pacific
8.2.2.5.3.1. Market Estimation, 2015 - 2021
8.2.2.5.3.2. Market Forecast, 2022 - 2030
8.2.2.5.4. Middle East and Africa
8.2.2.5.4.1. Market Estimation, 2015 - 2021
8.2.2.5.4.2. Market Forecast, 2022 - 2030
8.2.2.5.5. Latin America
8.2.2.5.5.1. Market Estimation, 2015 - 2021
8.2.2.5.5.2. Market Forecast, 2022 - 2030
8.3. Key Segment for Channeling Investments
8.3.1. By Offering
9.
Global
Cloud Automated Machine Learning (AutoML)
Market Analysis and Forecasts, 2022 - 2030
9.1. Overview
9.2. Global Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Organization Size
9.2.1. Large Enterprise
9.2.1.1.
Definition
9.2.1.2.
Market
Estimation and Penetration, 2015 - 2021
9.2.1.3.
Market
Forecast, 2022 - 2030
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 - 2021
9.2.1.5.1.2. Market Forecast, 2022 - 2030
9.2.1.5.2. Europe
9.2.1.5.2.1. Market Estimation, 2015 - 2021
9.2.1.5.2.2. Market Forecast, 2022 - 2030
9.2.1.5.3. Asia Pacific
9.2.1.5.3.1. Market Estimation, 2015 - 2021
9.2.1.5.3.2. Market Forecast, 2022 - 2030
9.2.1.5.4. Middle East and Africa
9.2.1.5.4.1. Market Estimation, 2015 - 2021
9.2.1.5.4.2. Market Forecast, 2022 - 2030
9.2.1.5.5. Latin America
9.2.1.5.5.1. Market Estimation, 2015 - 2021
9.2.1.5.5.2. Market Forecast, 2022 - 2030
9.2.2. Small and Medium Size Enterprise
9.2.2.1.
Definition
9.2.2.2.
Market
Estimation and Penetration, 2015 - 2021
9.2.2.3.
Market
Forecast, 2022 - 2030
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 - 2021
9.2.2.5.1.2. Market Forecast, 2022 - 2030
9.2.2.5.2. Europe
9.2.2.5.2.1. Market Estimation, 2015 - 2021
9.2.2.5.2.2. Market Forecast, 2022 - 2030
9.2.2.5.3. Asia Pacific
9.2.2.5.3.1. Market Estimation, 2015 - 2021
9.2.2.5.3.2. Market Forecast, 2022 - 2030
9.2.2.5.4. Middle East and Africa
9.2.2.5.4.1. Market Estimation, 2015 - 2021
9.2.2.5.4.2. Market Forecast, 2022 - 2030
9.2.2.5.5. Latin America
9.2.2.5.5.1. Market Estimation, 2015 - 2021
9.2.2.5.5.2. Market Forecast, 2022 - 2030
9.3. Key Segment for Channeling Investments
9.3.1. By Organization Size
10. Global Cloud Automated Machine Learning
(AutoML) Market Analysis and Forecasts,
2022 - 2030
10.1. Overview
10.2. Global Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Application
10.2.1. Document Classification
10.2.1.1. Definition
10.2.1.2. Market Estimation and Penetration, 2015 -
2021
10.2.1.3. Market Forecast, 2022 - 2030
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 - 2021
10.2.1.5.1.2. Market Forecast, 2022 - 2030
10.2.1.5.2. Europe
10.2.1.5.2.1. Market Estimation, 2015 - 2021
10.2.1.5.2.2. Market Forecast, 2022 - 2030
10.2.1.5.3. Asia Pacific
10.2.1.5.3.1. Market Estimation, 2015 - 2021
10.2.1.5.3.2. Market Forecast, 2022 - 2030
10.2.1.5.4. Middle East and Africa
10.2.1.5.4.1. Market Estimation, 2015 - 2021
10.2.1.5.4.2. Market Forecast, 2022 - 2030
10.2.1.5.5. Latin America
10.2.1.5.5.1. Market Estimation, 2015 - 2021
10.2.1.5.5.2. Market Forecast, 2022 - 2030
10.2.2. Sentiment analysis
10.2.2.1. Definition
10.2.2.2. Market Estimation and Penetration, 2015 -
2021
10.2.2.3. Market Forecast, 2022 - 2030
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 - 2021
10.2.2.5.1.2. Market Forecast, 2022 - 2030
10.2.2.5.2. Europe
10.2.2.5.2.1. Market Estimation, 2015 - 2021
10.2.2.5.2.2. Market Forecast, 2022 - 2030
10.2.2.5.3. Asia Pacific
10.2.2.5.3.1. Market Estimation, 2015 - 2021
10.2.2.5.3.2. Market Forecast, 2022 - 2030
10.2.2.5.4. Middle East and Africa
10.2.2.5.4.1. Market Estimation, 2015 - 2021
10.2.2.5.4.2. Market Forecast, 2022 - 2030
10.2.2.5.5. Latin America
10.2.2.5.5.1. Market Estimation, 2015 - 2021
10.2.2.5.5.2. Market Forecast, 2022 - 2030
10.2.3. Video analysis
10.2.3.1. Definition
10.2.3.2. Market Estimation and Penetration, 2015 -
2021
10.2.3.3. Market Forecast, 2022 - 2030
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 - 2021
10.2.3.5.1.2. Market Forecast, 2022 - 2030
10.2.3.5.2. Europe
10.2.3.5.2.1. Market Estimation, 2015 - 2021
10.2.3.5.2.2. Market Forecast, 2022 - 2030
10.2.3.5.3. Asia Pacific
10.2.3.5.3.1. Market Estimation, 2015 - 2021
10.2.3.5.3.2. Market Forecast, 2022 - 2030
10.2.3.5.4. Middle East and Africa
10.2.3.5.4.1. Market Estimation, 2015 - 2021
10.2.3.5.4.2. Market Forecast, 2022 - 2030
10.2.3.5.5. Latin America
10.2.3.5.5.1. Market Estimation, 2015 - 2021
10.2.3.5.5.2. Market Forecast, 2022 - 2030
10.2.4. Object detection in images
10.2.4.1. Definition
10.2.4.2. Market Estimation and Penetration, 2015 -
2021
10.2.4.3. Market Forecast, 2022 - 2030
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 - 2021
10.2.4.5.1.2. Market Forecast, 2022 - 2030
10.2.4.5.2. Europe
10.2.4.5.2.1. Market Estimation, 2015 - 2021
10.2.4.5.2.2. Market Forecast, 2022 - 2030
10.2.4.5.3. Asia Pacific
10.2.4.5.3.1. Market Estimation, 2015 - 2021
10.2.4.5.3.2. Market Forecast, 2022 - 2030
10.2.4.5.4. Middle East and Africa
10.2.4.5.4.1. Market Estimation, 2015 - 2021
10.2.4.5.4.2. Market Forecast, 2022 - 2030
10.2.4.5.5. Latin America
10.2.4.5.5.1. Market Estimation, 2015 - 2021
10.2.4.5.5.2. Market Forecast, 2022 - 2030
10.2.5. Face detection from images
10.2.5.1. Definition
10.2.5.2. Market Estimation and Penetration, 2015 -
2021
10.2.5.3. Market Forecast, 2022 - 2030
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 - 2021
10.2.5.5.1.2. Market Forecast, 2022 - 2030
10.2.5.5.2. Europe
10.2.5.5.2.1. Market Estimation, 2015 - 2021
10.2.5.5.2.2. Market Forecast, 2022 - 2030
10.2.5.5.3. Asia Pacific
10.2.5.5.3.1. Market Estimation, 2015 - 2021
10.2.5.5.3.2. Market Forecast, 2022 - 2030
10.2.5.5.4. Middle East and Africa
10.2.5.5.4.1. Market Estimation, 2015 - 2021
10.2.5.5.4.2. Market Forecast, 2022 - 2030
10.2.5.5.5. Latin America
10.2.5.5.5.1. Market Estimation, 2015 - 2021
10.2.5.5.5.2. Market Forecast, 2022 - 2030
10.2.6. Cybersecurity
10.2.6.1. Definition
10.2.6.2. Market Estimation and Penetration, 2015 -
2021
10.2.6.3. Market Forecast, 2022 - 2030
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 - 2021
10.2.6.5.1.2. Market Forecast, 2022 - 2030
10.2.6.5.2. Europe
10.2.6.5.2.1. Market Estimation, 2015 - 2021
10.2.6.5.2.2. Market Forecast, 2022 - 2030
10.2.6.5.3. Asia Pacific
10.2.6.5.3.1. Market Estimation, 2015 - 2021
10.2.6.5.3.2. Market Forecast, 2022 - 2030
10.2.6.5.4. Middle East and Africa
10.2.6.5.4.1. Market Estimation, 2015 - 2021
10.2.6.5.4.2. Market Forecast, 2022 - 2030
10.2.6.5.5. Latin America
10.2.6.5.5.1. Market Estimation, 2015 - 2021
10.2.6.5.5.2. Market Forecast, 2022 - 2030
10.2.7. Risk Assessment
10.2.7.1. Definition
10.2.7.2. Market Estimation and Penetration, 2015 -
2021
10.2.7.3. Market Forecast, 2022 - 2030
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 - 2021
10.2.7.5.1.2. Market Forecast, 2022 - 2030
10.2.7.5.2. Europe
10.2.7.5.2.1. Market Estimation, 2015 - 2021
10.2.7.5.2.2. Market Forecast, 2022 - 2030
10.2.7.5.3. Asia Pacific
10.2.7.5.3.1. Market Estimation, 2015 - 2021
10.2.7.5.3.2. Market Forecast, 2022 - 2030
10.2.7.5.4. Middle East and Africa
10.2.7.5.4.1. Market Estimation, 2015 - 2021
10.2.7.5.4.2. Market Forecast, 2022 - 2030
10.2.7.5.5. Latin America
10.2.7.5.5.1. Market Estimation, 2015 - 2021
10.2.7.5.5.2. Market Forecast, 2022 - 2030
10.2.8. Speech Recognition
10.2.8.1. Definition
10.2.8.2. Market Estimation and Penetration, 2015 -
2021
10.2.8.3. Market Forecast, 2022 - 2030
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 - 2021
10.2.8.5.1.2. Market Forecast, 2022 - 2030
10.2.8.5.2. Europe
10.2.8.5.2.1. Market Estimation, 2015 - 2021
10.2.8.5.2.2. Market Forecast, 2022 - 2030
10.2.8.5.3. Asia Pacific
10.2.8.5.3.1. Market Estimation, 2015 - 2021
10.2.8.5.3.2. Market Forecast, 2022 - 2030
10.2.8.5.4. Middle East and Africa
10.2.8.5.4.1. Market Estimation, 2015 - 2021
10.2.8.5.4.2. Market Forecast, 2022 - 2030
10.2.8.5.5. Latin America
10.2.8.5.5.1. Market Estimation, 2015 - 2021
10.2.8.5.5.2. Market Forecast, 2022 - 2030
10.2.9. Others
10.2.9.1. Definition
10.2.9.2. Market Estimation and Penetration, 2015 -
2021
10.2.9.3. Market Forecast, 2022 - 2030
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 - 2021
10.2.9.5.1.2. Market Forecast, 2022 - 2030
10.2.9.5.2. Europe
10.2.9.5.2.1. Market Estimation, 2015 - 2021
10.2.9.5.2.2. Market Forecast, 2022 - 2030
10.2.9.5.3. Asia Pacific
10.2.9.5.3.1. Market Estimation, 2015 - 2021
10.2.9.5.3.2. Market Forecast, 2022 - 2030
10.2.9.5.4. Middle East and Africa
10.2.9.5.4.1. Market Estimation, 2015 - 2021
10.2.9.5.4.2. Market Forecast, 2022 - 2030
10.2.9.5.5. Latin America
10.2.9.5.5.1. Market Estimation, 2015 - 2021
10.2.9.5.5.2. Market Forecast, 2022 - 2030
10.3. Key Segment for Channeling Investments
10.3.1. By Application
11. Global Cloud Automated Machine Learning
(AutoML) Market Analysis and Forecasts,
2022 - 2030
11.1. Overview
11.2. Global Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Industry
11.2.1. Banking, Finance and Insurance
11.2.1.1. Definition
11.2.1.2. Market Estimation and Penetration, 2015 -
2021
11.2.1.3. Market Forecast, 2022 - 2030
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 - 2021
11.2.1.5.1.2. Market Forecast, 2022 - 2030
11.2.1.5.2. Europe
11.2.1.5.2.1. Market Estimation, 2015 - 2021
11.2.1.5.2.2. Market Forecast, 2022 - 2030
11.2.1.5.3. Asia Pacific
11.2.1.5.3.1. Market Estimation, 2015 - 2021
11.2.1.5.3.2. Market Forecast, 2022 - 2030
11.2.1.5.4. Middle East and Africa
11.2.1.5.4.1. Market Estimation, 2015 - 2021
11.2.1.5.4.2. Market Forecast, 2022 - 2030
11.2.1.5.5. Latin America
11.2.1.5.5.1. Market Estimation, 2015 - 2021
11.2.1.5.5.2. Market Forecast, 2022 - 2030
11.2.2. IT and Telecom
11.2.2.1. Definition
11.2.2.2. Market Estimation and Penetration, 2015 -
2021
11.2.2.3. Market Forecast, 2022 - 2030
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 - 2021
11.2.2.5.1.2. Market Forecast, 2022 - 2030
11.2.2.5.2. Europe
11.2.2.5.2.1. Market Estimation, 2015 - 2021
11.2.2.5.2.2. Market Forecast, 2022 - 2030
11.2.2.5.3. Asia Pacific
11.2.2.5.3.1. Market Estimation, 2015 - 2021
11.2.2.5.3.2. Market Forecast, 2022 - 2030
11.2.2.5.4. Middle East and Africa
11.2.2.5.4.1. Market Estimation, 2015 - 2021
11.2.2.5.4.2. Market Forecast, 2022 - 2030
11.2.2.5.5. Latin America
11.2.2.5.5.1. Market Estimation, 2015 - 2021
11.2.2.5.5.2. Market Forecast, 2022 - 2030
11.2.3. Agriculture
11.2.3.1. Definition
11.2.3.2. Market Estimation and Penetration, 2015 -
2021
11.2.3.3. Market Forecast, 2022 - 2030
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 - 2021
11.2.3.5.1.2. Market Forecast, 2022 - 2030
11.2.3.5.2. Europe
11.2.3.5.2.1. Market Estimation, 2015 - 2021
11.2.3.5.2.2. Market Forecast, 2022 - 2030
11.2.3.5.3. Asia Pacific
11.2.3.5.3.1. Market Estimation, 2015 - 2021
11.2.3.5.3.2. Market Forecast, 2022 - 2030
11.2.3.5.4. Middle East and Africa
11.2.3.5.4.1. Market Estimation, 2015 - 2021
11.2.3.5.4.2. Market Forecast, 2022 - 2030
11.2.3.5.5. Latin America
11.2.3.5.5.1. Market Estimation, 2015 - 2021
11.2.3.5.5.2. Market Forecast, 2022 - 2030
11.2.4. Media and Entertainment
11.2.4.1. Definition
11.2.4.2. Market Estimation and Penetration, 2015 -
2021
11.2.4.3. Market Forecast, 2022 - 2030
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 - 2021
11.2.4.5.1.2. Market Forecast, 2022 - 2030
11.2.4.5.2. Europe
11.2.4.5.2.1. Market Estimation, 2015 - 2021
11.2.4.5.2.2. Market Forecast, 2022 - 2030
11.2.4.5.3. Asia Pacific
11.2.4.5.3.1. Market Estimation, 2015 - 2021
11.2.4.5.3.2. Market Forecast, 2022 - 2030
11.2.4.5.4. Middle East and Africa
11.2.4.5.4.1. Market Estimation, 2015 - 2021
11.2.4.5.4.2. Market Forecast, 2022 - 2030
11.2.4.5.5. Latin America
11.2.4.5.5.1. Market Estimation, 2015 - 2021
11.2.4.5.5.2. Market Forecast, 2022 - 2030
11.2.5. Healthcare
11.2.5.1. Definition
11.2.5.2. Market Estimation and Penetration, 2015 -
2021
11.2.5.3. Market Forecast, 2022 - 2030
11.2.5.4. Compound Annual Growth Rate (CAGR)
11.2.5.5. Regional Bifurcation
11.2.5.5.1. North America
11.2.5.5.1.1. Market Estimation, 2015 - 2021
11.2.5.5.1.2. Market Forecast, 2022 - 2030
11.2.5.5.2. Europe
11.2.5.5.2.1. Market Estimation, 2015 - 2021
11.2.5.5.2.2. Market Forecast, 2022 - 2030
11.2.5.5.3. Asia Pacific
11.2.5.5.3.1. Market Estimation, 2015 - 2021
11.2.5.5.3.2. Market Forecast, 2022 - 2030
11.2.5.5.4. Middle East and Africa
11.2.5.5.4.1. Market Estimation, 2015 - 2021
11.2.5.5.4.2. Market Forecast, 2022 - 2030
11.2.5.5.5. Latin America
11.2.5.5.5.1. Market Estimation, 2015 - 2021
11.2.5.5.5.2. Market Forecast, 2022 - 2030
11.2.6. Government
11.2.6.1. Definition
11.2.6.2. Market Estimation and Penetration, 2015 -
2021
11.2.6.3. Market Forecast, 2022 - 2030
11.2.6.4. Compound Annual Growth Rate (CAGR)
11.2.6.5. Regional Bifurcation
11.2.6.5.1. North America
11.2.6.5.1.1. Market Estimation, 2015 - 2021
11.2.6.5.1.2. Market Forecast, 2022 - 2030
11.2.6.5.2. Europe
11.2.6.5.2.1. Market Estimation, 2015 - 2021
11.2.6.5.2.2. Market Forecast, 2022 - 2030
11.2.6.5.3. Asia Pacific
11.2.6.5.3.1. Market Estimation, 2015 - 2021
11.2.6.5.3.2. Market Forecast, 2022 - 2030
11.2.6.5.4. Middle East and Africa
11.2.6.5.4.1. Market Estimation, 2015 - 2021
11.2.6.5.4.2. Market Forecast, 2022 - 2030
11.2.6.5.5. Latin America
11.2.6.5.5.1. Market Estimation, 2015 - 2021
11.2.6.5.5.2. Market Forecast, 2022 - 2030
11.2.7. Retail
11.2.7.1. Definition
11.2.7.2. Market Estimation and Penetration, 2015 -
2021
11.2.7.3. Market Forecast, 2022 - 2030
11.2.7.4. Compound Annual Growth Rate (CAGR)
11.2.7.5. Regional Bifurcation
11.2.7.5.1. North America
11.2.7.5.1.1. Market Estimation, 2015 - 2021
11.2.7.5.1.2. Market Forecast, 2022 - 2030
11.2.7.5.2. Europe
11.2.7.5.2.1. Market Estimation, 2015 - 2021
11.2.7.5.2.2. Market Forecast, 2022 - 2030
11.2.7.5.3. Asia Pacific
11.2.7.5.3.1. Market Estimation, 2015 - 2021
11.2.7.5.3.2. Market Forecast, 2022 - 2030
11.2.7.5.4. Middle East and Africa
11.2.7.5.4.1. Market Estimation, 2015 - 2021
11.2.7.5.4.2. Market Forecast, 2022 - 2030
11.2.7.5.5. Latin America
11.2.7.5.5.1. Market Estimation, 2015 - 2021
11.2.7.5.5.2. Market Forecast, 2022 - 2030
11.2.8. Manufacturing
11.2.8.1. Definition
11.2.8.2. Market Estimation and Penetration, 2015 -
2021
11.2.8.3. Market Forecast, 2022 - 2030
11.2.8.4. Compound Annual Growth Rate (CAGR)
11.2.8.5. Regional Bifurcation
11.2.8.5.1. North America
11.2.8.5.1.1. Market Estimation, 2015 - 2021
11.2.8.5.1.2. Market Forecast, 2022 - 2030
11.2.8.5.2. Europe
11.2.8.5.2.1. Market Estimation, 2015 - 2021
11.2.8.5.2.2. Market Forecast, 2022 - 2030
11.2.8.5.3. Asia Pacific
11.2.8.5.3.1. Market Estimation, 2015 - 2021
11.2.8.5.3.2. Market Forecast, 2022 - 2030
11.2.8.5.4. Middle East and Africa
11.2.8.5.4.1. Market Estimation, 2015 - 2021
11.2.8.5.4.2. Market Forecast, 2022 - 2030
11.2.8.5.5. Latin America
11.2.8.5.5.1. Market Estimation, 2015 - 2021
11.2.8.5.5.2. Market Forecast, 2022 - 2030
11.2.9. Transportation and Logistics
11.2.9.1. Definition
11.2.9.2. Market Estimation and Penetration, 2015 -
2021
11.2.9.3. Market Forecast, 2022 - 2030
11.2.9.4. Compound Annual Growth Rate (CAGR)
11.2.9.5. Regional Bifurcation
11.2.9.5.1. North America
11.2.9.5.1.1. Market Estimation, 2015 - 2021
11.2.9.5.1.2. Market Forecast, 2022 - 2030
11.2.9.5.2. Europe
11.2.9.5.2.1. Market Estimation, 2015 - 2021
11.2.9.5.2.2. Market Forecast, 2022 - 2030
11.2.9.5.3. Asia Pacific
11.2.9.5.3.1. Market Estimation, 2015 - 2021
11.2.9.5.3.2. Market Forecast, 2022 - 2030
11.2.9.5.4. Middle East and Africa
11.2.9.5.4.1. Market Estimation, 2015 - 2021
11.2.9.5.4.2. Market Forecast, 2022 - 2030
11.2.9.5.5. Latin America
11.2.9.5.5.1. Market Estimation, 2015 - 2021
11.2.9.5.5.2. Market Forecast, 2022 - 2030
11.2.10. Energy and Utilities
11.2.10.1.
Definition
11.2.10.2.
Market
Estimation and Penetration, 2015 - 2021
11.2.10.3.
Market
Forecast, 2022 - 2030
11.2.10.4.
Compound
Annual Growth Rate (CAGR)
11.2.10.5.
Regional
Bifurcation
11.2.10.5.1. North America
11.2.10.5.1.1. Market Estimation, 2015 - 2021
11.2.10.5.1.2. Market Forecast, 2022 - 2030
11.2.10.5.2. Europe
11.2.10.5.2.1. Market Estimation, 2015 - 2021
11.2.10.5.2.2. Market Forecast, 2022 - 2030
11.2.10.5.3. Asia Pacific
11.2.10.5.3.1. Market Estimation, 2015 - 2021
11.2.10.5.3.2. Market Forecast, 2022 - 2030
11.2.10.5.4. Middle East and Africa
11.2.10.5.4.1. Market Estimation, 2015 - 2021
11.2.10.5.4.2. Market Forecast, 2022 - 2030
11.2.10.5.5. Latin America
11.2.10.5.5.1. Market Estimation, 2015 - 2021
11.2.10.5.5.2. Market Forecast, 2022 - 2030
11.2.11. Others
11.2.11.1.
Definition
11.2.11.2.
Market
Estimation and Penetration, 2015 - 2021
11.2.11.3.
Market
Forecast, 2022 - 2030
11.2.11.4.
Compound
Annual Growth Rate (CAGR)
11.2.11.5.
Regional
Bifurcation
11.2.11.5.1. North America
11.2.11.5.1.1. Market Estimation, 2015 - 2021
11.2.11.5.1.2. Market Forecast, 2022 - 2030
11.2.11.5.2. Europe
11.2.11.5.2.1. Market Estimation, 2015 - 2021
11.2.11.5.2.2. Market Forecast, 2022 - 2030
11.2.11.5.3. Asia Pacific
11.2.11.5.3.1. Market Estimation, 2015 - 2021
11.2.11.5.3.2. Market Forecast, 2022 - 2030
11.2.11.5.4. Middle East and Africa
11.2.11.5.4.1. Market Estimation, 2015 - 2021
11.2.11.5.4.2. Market Forecast, 2022 - 2030
11.2.11.5.5. Latin America
11.2.11.5.5.1. Market Estimation, 2015 - 2021
11.2.11.5.5.2. Market Forecast, 2022 - 2030
11.3. Key Segment for Channeling Investments
11.3.1. By Industry
12. North America Cloud Automated Machine
Learning (AutoML) Market Analysis and
Forecasts, 2022 - 2030
12.1. Overview
12.1.1. North America Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn)
12.2. North America Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Offering
12.2.1. Platform
12.2.2. Services
12.3. North America Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Organization Size
12.3.1. Large Enterprise
12.3.2. Small and Medium Size Enterprise
12.4. North America Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Application
12.4.1. Document Classification
12.4.2. Sentiment analysis
12.4.3. Video analysis
12.4.4. Object detection in images
12.4.5. Face detection from images
12.4.6. Cybersecurity
12.4.7. Risk Assessment
12.4.8. Speech Recognition
12.4.9. Others
12.5. North America Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Industry
12.5.1. Banking, Finance and Insurance
12.5.2. IT and Telecom
12.5.3. Agriculture
12.5.4. Media and Entertainment
12.5.5. Healthcare
12.5.6. Government
12.5.7. Retail
12.5.8. Manufacturing
12.5.9. Transportation and Logistics
12.5.10. Energy and Utilities
12.5.11. Others
12.6. North America Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Country
12.6.1. U.S
12.6.1.1. U.S Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Offering
12.6.1.1.1. Platform
12.6.1.1.2. Services
12.6.1.2. U.S Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Organization Size
12.6.1.2.1. Large Enterprise
12.6.1.2.2. Small and Medium Size Enterprise
12.6.1.3. U.S Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Application
12.6.1.3.1. Document Classification
12.6.1.3.2. Sentiment analysis
12.6.1.3.3. Video analysis
12.6.1.3.4. Object detection in images
12.6.1.3.5. Face detection from images
12.6.1.3.6. Cybersecurity
12.6.1.3.7. Risk Assessment
12.6.1.3.8. Speech Recognition
12.6.1.3.9. Others
12.6.1.4. U.S Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Industry
12.6.1.4.1. Banking, Finance and Insurance
12.6.1.4.2. IT and Telecom
12.6.1.4.3. Agriculture
12.6.1.4.4. Media and Entertainment
12.6.1.4.5. Healthcare
12.6.1.4.6. Government
12.6.1.4.7. Retail
12.6.1.4.8. Manufacturing
12.6.1.4.9. Transportation and Logistics
12.6.1.4.10. Energy and Utilities
12.6.1.4.11. Others
12.6.2. Canada
12.6.2.1. Canada Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Offering
12.6.2.1.1. Platform
12.6.2.1.2. Services
12.6.2.2. Canada Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Organization Size
12.6.2.2.1. Large Enterprise
12.6.2.2.2. Small and Medium Size Enterprise
12.6.2.3. Canada Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Application
12.6.2.3.1. Document Classification
12.6.2.3.2. Sentiment analysis
12.6.2.3.3. Video analysis
12.6.2.3.4. Object detection in images
12.6.2.3.5. Face detection from images
12.6.2.3.6. Cybersecurity
12.6.2.3.7. Risk Assessment
12.6.2.3.8. Speech Recognition
12.6.2.3.9. Others
12.6.2.4. Canada Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Industry
12.6.2.4.1. Banking, Finance and Insurance
12.6.2.4.2. IT and Telecom
12.6.2.4.3. Agriculture
12.6.2.4.4. Media and Entertainment
12.6.2.4.5. Healthcare
12.6.2.4.6. Government
12.6.2.4.7. Retail
12.6.2.4.8. Manufacturing
12.6.2.4.9. Transportation and Logistics
12.6.2.4.10. Energy and Utilities
12.6.2.4.11. Others
12.6.3. Mexico
12.6.3.1. Mexico Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Offering
12.6.3.1.1. Platform
12.6.3.1.2. Services
12.6.3.2. Mexico Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Organization Size
12.6.3.2.1. Large Enterprise
12.6.3.2.2. Small and Medium Size Enterprise
12.6.3.3. Mexico Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Application
12.6.3.3.1. Document Classification
12.6.3.3.2. Sentiment analysis
12.6.3.3.3. Video analysis
12.6.3.3.4. Object detection in images
12.6.3.3.5. Face detection from images
12.6.3.3.6. Cybersecurity
12.6.3.3.7. Risk Assessment
12.6.3.3.8. Speech Recognition
12.6.3.3.9. Others
12.6.3.4. Mexico Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Industry
12.6.3.4.1. Banking, Finance and Insurance
12.6.3.4.2. IT and Telecom
12.6.3.4.3. Agriculture
12.6.3.4.4. Media and Entertainment
12.6.3.4.5. Healthcare
12.6.3.4.6. Government
12.6.3.4.7. Retail
12.6.3.4.8. Manufacturing
12.6.3.4.9. Transportation and Logistics
12.6.3.4.10. Energy and Utilities
12.6.3.4.11. Others
12.6.4. Rest of North America
12.6.4.1. Rest of North America Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Offering
12.6.4.1.1. Platform
12.6.4.1.2. Services
12.6.4.2. Rest of North America Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Organization Size
12.6.4.2.1. Large Enterprise
12.6.4.2.2. Small and Medium Size Enterprise
12.6.4.3. Rest of North America Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Application
12.6.4.3.1. Document Classification
12.6.4.3.2. Sentiment analysis
12.6.4.3.3. Video analysis
12.6.4.3.4. Object detection in images
12.6.4.3.5. Face detection from images
12.6.4.3.6. Cybersecurity
12.6.4.3.7. Risk Assessment
12.6.4.3.8. Speech Recognition
12.6.4.3.9. Others
12.6.4.4. Rest of North America Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Industry
12.6.4.4.1. Banking, Finance and Insurance
12.6.4.4.2. IT and Telecom
12.6.4.4.3. Agriculture
12.6.4.4.4. Media and Entertainment
12.6.4.4.5. Healthcare
12.6.4.4.6. Government
12.6.4.4.7. Retail
12.6.4.4.8. Manufacturing
12.6.4.4.9. Transportation and Logistics
12.6.4.4.10. Energy and Utilities
12.6.4.4.11. Others
12.7. Key Segment for Channeling Investments
12.7.1. By Country
12.7.2. By Offering
12.7.3. By Organization Size
12.7.4. By Application
12.7.5. By Industry
13. Europe Cloud Automated Machine Learning
(AutoML) Market Analysis and Forecasts,
2022 - 2030
13.1. Overview
13.1.1. Europe Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn)
13.2. Europe Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Offering
13.2.1. Platform
13.2.2. Services
13.3. Europe Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Organization Size
13.3.1. Large Enterprise
13.3.2. Small and Medium Size Enterprise
13.4. Europe Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Application
13.4.1. Document Classification
13.4.2. Sentiment analysis
13.4.3. Video analysis
13.4.4. Object detection in images
13.4.5. Face detection from images
13.4.6. Cybersecurity
13.4.7. Risk Assessment
13.4.8. Speech Recognition
13.4.9. Others
13.5. Europe Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Industry
13.5.1. Banking, Finance and Insurance
13.5.2. IT and Telecom
13.5.3. Agriculture
13.5.4. Media and Entertainment
13.5.5. Healthcare
13.5.6. Government
13.5.7. Retail
13.5.8. Manufacturing
13.5.9. Transportation and Logistics
13.5.10. Energy and Utilities
13.5.11. Others
13.6. Europe Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Country
13.6.1. France
13.6.1.1. France Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Offering
13.6.1.1.1. Platform
13.6.1.1.2. Services
13.6.1.2. France Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Organization Size
13.6.1.2.1. Large Enterprise
13.6.1.2.2. Small and Medium Size Enterprise
13.6.1.3. France Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Application
13.6.1.3.1. Document Classification
13.6.1.3.2. Sentiment analysis
13.6.1.3.3. Video analysis
13.6.1.3.4. Object detection in images
13.6.1.3.5. Face detection from images
13.6.1.3.6. Cybersecurity
13.6.1.3.7. Risk Assessment
13.6.1.3.8. Speech Recognition
13.6.1.3.9. Others
13.6.1.4. France Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Industry
13.6.1.4.1. Banking, Finance and Insurance
13.6.1.4.2. IT and Telecom
13.6.1.4.3. Agriculture
13.6.1.4.4. Media and Entertainment
13.6.1.4.5. Healthcare
13.6.1.4.6. Government
13.6.1.4.7. Retail
13.6.1.4.8. Manufacturing
13.6.1.4.9. Transportation and Logistics
13.6.1.4.10. Energy and Utilities
13.6.1.4.11. Others
13.6.2. The UK
13.6.2.1. The UK Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Offering
13.6.2.1.1. Platform
13.6.2.1.2. Services
13.6.2.2. The UK Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Organization Size
13.6.2.2.1. Large Enterprise
13.6.2.2.2. Small and Medium Size Enterprise
13.6.2.3. The UK Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Application
13.6.2.3.1. Document Classification
13.6.2.3.2. Sentiment analysis
13.6.2.3.3. Video analysis
13.6.2.3.4. Object detection in images
13.6.2.3.5. Face detection from images
13.6.2.3.6. Cybersecurity
13.6.2.3.7. Risk Assessment
13.6.2.3.8. Speech Recognition
13.6.2.3.9. Others
13.6.2.4. The UK Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Industry
13.6.2.4.1. Banking, Finance and Insurance
13.6.2.4.2. IT and Telecom
13.6.2.4.3. Agriculture
13.6.2.4.4. Media and Entertainment
13.6.2.4.5. Healthcare
13.6.2.4.6. Government
13.6.2.4.7. Retail
13.6.2.4.8. Manufacturing
13.6.2.4.9. Transportation and Logistics
13.6.2.4.10. Energy and Utilities
13.6.2.4.11. Others
13.6.3. Spain
13.6.3.1. Spain Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Offering
13.6.3.1.1. Platform
13.6.3.1.2. Services
13.6.3.2. Spain Cloud Automated Machine Learning (AutoML) Market Revenue (US$ Mn) and Forecasts, By
Organization Size
13.6.3.2.1. Large Enterprise
13.6.3.2.2. Small and Medium Size Enterprise
13.6.3.3. Spain Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Application
13.6.3.3.1. Document Classification
13.6.3.3.2. Sentiment analysis
13.6.3.3.3. Video analysis
13.6.3.3.4. Object detection in images
13.6.3.3.5. Face detection from images
13.6.3.3.6. Cybersecurity
13.6.3.3.7. Risk Assessment
13.6.3.3.8. Speech Recognition
13.6.3.3.9. Others
13.6.3.4. Spain Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Industry
13.6.3.4.1. Banking, Finance and Insurance
13.6.3.4.2. IT and Telecom
13.6.3.4.3. Agriculture
13.6.3.4.4. Media and Entertainment
13.6.3.4.5. Healthcare
13.6.3.4.6. Government
13.6.3.4.7. Retail
13.6.3.4.8. Manufacturing
13.6.3.4.9. Transportation and Logistics
13.6.3.4.10. Energy and Utilities
13.6.3.4.11. Others
13.6.4. Germany
13.6.4.1. Germany Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Offering
13.6.4.1.1. Platform
13.6.4.1.2. Services
13.6.4.2. Germany Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Organization Size
13.6.4.2.1. Large Enterprise
13.6.4.2.2. Small and Medium Size Enterprise
13.6.4.3. Germany Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Application
13.6.4.3.1. Document Classification
13.6.4.3.2. Sentiment analysis
13.6.4.3.3. Video analysis
13.6.4.3.4. Object detection in images
13.6.4.3.5. Face detection from images
13.6.4.3.6. Cybersecurity
13.6.4.3.7. Risk Assessment
13.6.4.3.8. Speech Recognition
13.6.4.3.9. Others
13.6.4.4. Germany Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Industry
13.6.4.4.1. Banking, Finance and Insurance
13.6.4.4.2. IT and Telecom
13.6.4.4.3. Agriculture
13.6.4.4.4. Media and Entertainment
13.6.4.4.5. Healthcare
13.6.4.4.6. Government
13.6.4.4.7. Retail
13.6.4.4.8. Manufacturing
13.6.4.4.9. Transportation and Logistics
13.6.4.4.10. Energy and Utilities
13.6.4.4.11. Others
13.6.5. Italy
13.6.5.1. Italy Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Offering
13.6.5.1.1. Platform
13.6.5.1.2. Services
13.6.5.2. Italy Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Organization Size
13.6.5.2.1. Large Enterprise
13.6.5.2.2. Small and Medium Size Enterprise
13.6.5.3. Italy Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Application
13.6.5.3.1. Document Classification
13.6.5.3.2. Sentiment analysis
13.6.5.3.3. Video analysis
13.6.5.3.4. Object detection in images
13.6.5.3.5. Face detection from images
13.6.5.3.6. Cybersecurity
13.6.5.3.7. Risk Assessment
13.6.5.3.8. Speech Recognition
13.6.5.3.9. Others
13.6.5.4. Italy Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Industry
13.6.5.4.1. Banking, Finance and Insurance
13.6.5.4.2. IT and Telecom
13.6.5.4.3. Agriculture
13.6.5.4.4. Media and Entertainment
13.6.5.4.5. Healthcare
13.6.5.4.6. Government
13.6.5.4.7. Retail
13.6.5.4.8. Manufacturing
13.6.5.4.9. Transportation and Logistics
13.6.5.4.10. Energy and Utilities
13.6.5.4.11. Others
13.6.6. Nordic Countries
13.6.6.1. Nordic Countries Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Offering
13.6.6.1.1. Platform
13.6.6.1.2. Services
13.6.6.2. Nordic Countries Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Organization Size
13.6.6.2.1. Large Enterprise
13.6.6.2.2. Small and Medium Size Enterprise
13.6.6.3. Nordic Countries Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Application
13.6.6.3.1. Document Classification
13.6.6.3.2. Sentiment analysis
13.6.6.3.3. Video analysis
13.6.6.3.4. Object detection in images
13.6.6.3.5. Face detection from images
13.6.6.3.6. Cybersecurity
13.6.6.3.7. Risk Assessment
13.6.6.3.8. Speech Recognition
13.6.6.3.9. Others
13.6.6.4. Nordic Countries Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Industry
13.6.6.4.1. Banking, Finance and Insurance
13.6.6.4.2. IT and Telecom
13.6.6.4.3. Agriculture
13.6.6.4.4. Media and Entertainment
13.6.6.4.5. Healthcare
13.6.6.4.6. Government
13.6.6.4.7. Retail
13.6.6.4.8. Manufacturing
13.6.6.4.9. Transportation and Logistics
13.6.6.4.10. Energy and Utilities
13.6.6.4.11. Others
13.6.6.5. Nordic Countries Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Country
13.6.6.5.1. Denmark
13.6.6.5.2. Finland
13.6.6.5.3. Iceland
13.6.6.5.4. Sweden
13.6.6.5.5. Norway
13.6.7. Benelux Union
13.6.7.1. Benelux Union Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Offering
13.6.7.1.1. Platform
13.6.7.1.2. Services
13.6.7.2. Benelux Union Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Organization Size
13.6.7.2.1. Large Enterprise
13.6.7.2.2. Small and Medium Size Enterprise
13.6.7.3. Benelux Union Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Application
13.6.7.3.1. Document Classification
13.6.7.3.2. Sentiment analysis
13.6.7.3.3. Video analysis
13.6.7.3.4. Object detection in images
13.6.7.3.5. Face detection from images
13.6.7.3.6. Cybersecurity
13.6.7.3.7. Risk Assessment
13.6.7.3.8. Speech Recognition
13.6.7.3.9. Others
13.6.7.4. Benelux Union Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Industry
13.6.7.4.1. Banking, Finance and Insurance
13.6.7.4.2. IT and Telecom
13.6.7.4.3. Agriculture
13.6.7.4.4. Media and Entertainment
13.6.7.4.5. Healthcare
13.6.7.4.6. Government
13.6.7.4.7. Retail
13.6.7.4.8. Manufacturing
13.6.7.4.9. Transportation and Logistics
13.6.7.4.10. Energy and Utilities
13.6.7.4.11. Others
13.6.7.5. Benelux Union Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Country
13.6.7.5.1. Belgium
13.6.7.5.2. The Netherlands
13.6.7.5.3. Luxembourg
13.6.8. Rest of Europe
13.6.8.1. Rest of Europe Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Offering
13.6.8.1.1. Platform
13.6.8.1.2. Services
13.6.8.2. Rest of Europe Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Organization Size
13.6.8.2.1. Large Enterprise
13.6.8.2.2. Small and Medium Size Enterprise
13.6.8.3. Rest of Europe Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Application
13.6.8.3.1. Document Classification
13.6.8.3.2. Sentiment analysis
13.6.8.3.3. Video analysis
13.6.8.3.4. Object detection in images
13.6.8.3.5. Face detection from images
13.6.8.3.6. Cybersecurity
13.6.8.3.7. Risk Assessment
13.6.8.3.8. Speech Recognition
13.6.8.3.9. Others
13.6.8.4. Rest of Europe Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Industry
13.6.8.4.1. Banking, Finance and Insurance
13.6.8.4.2. IT and Telecom
13.6.8.4.3. Agriculture
13.6.8.4.4. Media and Entertainment
13.6.8.4.5. Healthcare
13.6.8.4.6. Government
13.6.8.4.7. Retail
13.6.8.4.8. Manufacturing
13.6.8.4.9. Transportation and Logistics
13.6.8.4.10. Energy and Utilities
13.6.8.4.11. Others
13.7. Key Segment for Channeling Investments
13.7.1. By Country
13.7.2. By Offering
13.7.3. By Organization Size
13.7.4. By Application
13.7.5. By Industry
14. Asia Pacific Cloud Automated Machine
Learning (AutoML) Market Analysis and
Forecasts, 2022 - 2030
14.1. Overview
14.1.1. Asia Pacific Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn)
14.2. Asia Pacific Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Offering
14.2.1. Platform
14.2.2. Services
14.3. Asia Pacific Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Organization Size
14.3.1. Large Enterprise
14.3.2. Small and Medium Size Enterprise
14.4. Asia Pacific Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Application
14.4.1. Document Classification
14.4.2. Sentiment analysis
14.4.3. Video analysis
14.4.4. Object detection in images
14.4.5. Face detection from images
14.4.6. Cybersecurity
14.4.7. Risk Assessment
14.4.8. Speech Recognition
14.4.9. Others
14.5. Asia Pacific Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Industry
14.5.1. Banking, Finance and Insurance
14.5.2. IT and Telecom
14.5.3. Agriculture
14.5.4. Media and Entertainment
14.5.5. Healthcare
14.5.6. Government
14.5.7. Retail
14.5.8. Manufacturing
14.5.9. Transportation and Logistics
14.5.10. Energy and Utilities
14.5.11. Others
14.6. Asia Pacific Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Country
14.6.1. China
14.6.1.1. China Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Offering
14.6.1.1.1. Platform
14.6.1.1.2. Services
14.6.1.2. China Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Organization Size
14.6.1.2.1. Large Enterprise
14.6.1.2.2. Small and Medium Size Enterprise
14.6.1.3. China Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Application
14.6.1.3.1. Document Classification
14.6.1.3.2. Sentiment analysis
14.6.1.3.3. Video analysis
14.6.1.3.4. Object detection in images
14.6.1.3.5. Face detection from images
14.6.1.3.6. Cybersecurity
14.6.1.3.7. Risk Assessment
14.6.1.3.8. Speech Recognition
14.6.1.3.9. Others
14.6.1.4. China Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Industry
14.6.1.4.1. Banking, Finance and Insurance
14.6.1.4.2. IT and Telecom
14.6.1.4.3. Agriculture
14.6.1.4.4. Media and Entertainment
14.6.1.4.5. Healthcare
14.6.1.4.6. Government
14.6.1.4.7. Retail
14.6.1.4.8. Manufacturing
14.6.1.4.9. Transportation and Logistics
14.6.1.4.10. Energy and Utilities
14.6.1.4.11. Others
14.6.2. Japan
14.6.2.1. Japan Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Offering
14.6.2.1.1. Platform
14.6.2.1.2. Services
14.6.2.2. Japan Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Organization Size
14.6.2.2.1. Large Enterprise
14.6.2.2.2. Small and Medium Size Enterprise
14.6.2.3. Japan Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Application
14.6.2.3.1. Document Classification
14.6.2.3.2. Sentiment analysis
14.6.2.3.3. Video analysis
14.6.2.3.4. Object detection in images
14.6.2.3.5. Face detection from images
14.6.2.3.6. Cybersecurity
14.6.2.3.7. Risk Assessment
14.6.2.3.8. Speech Recognition
14.6.2.3.9. Others
14.6.2.4. Japan Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Industry
14.6.2.4.1. Banking, Finance and Insurance
14.6.2.4.2. IT and Telecom
14.6.2.4.3. Agriculture
14.6.2.4.4. Media and Entertainment
14.6.2.4.5. Healthcare
14.6.2.4.6. Government
14.6.2.4.7. Retail
14.6.2.4.8. Manufacturing
14.6.2.4.9. Transportation and Logistics
14.6.2.4.10. Energy and Utilities
14.6.2.4.11. Others
14.6.3. India
14.6.3.1. India Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Offering
14.6.3.1.1. Platform
14.6.3.1.2. Services
14.6.3.2. India Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Organization Size
14.6.3.2.1. Large Enterprise
14.6.3.2.2. Small and Medium Size Enterprise
14.6.3.3. India Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Application
14.6.3.3.1. Document Classification
14.6.3.3.2. Sentiment analysis
14.6.3.3.3. Video analysis
14.6.3.3.4. Object detection in images
14.6.3.3.5. Face detection from images
14.6.3.3.6. Cybersecurity
14.6.3.3.7. Risk Assessment
14.6.3.3.8. Speech Recognition
14.6.3.3.9. Others
14.6.3.4. India Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Industry
14.6.3.4.1. Banking, Finance and Insurance
14.6.3.4.2. IT and Telecom
14.6.3.4.3. Agriculture
14.6.3.4.4. Media and Entertainment
14.6.3.4.5. Healthcare
14.6.3.4.6. Government
14.6.3.4.7. Retail
14.6.3.4.8. Manufacturing
14.6.3.4.9. Transportation and Logistics
14.6.3.4.10. Energy and Utilities
14.6.3.4.11. Others
14.6.4. New Zealand
14.6.4.1. New Zealand Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Offering
14.6.4.1.1. Platform
14.6.4.1.2. Services
14.6.4.2. New Zealand Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Organization Size
14.6.4.2.1. Large Enterprise
14.6.4.2.2. Small and Medium Size Enterprise
14.6.4.3. New Zealand Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Application
14.6.4.3.1. Document Classification
14.6.4.3.2. Sentiment analysis
14.6.4.3.3. Video analysis
14.6.4.3.4. Object detection in images
14.6.4.3.5. Face detection from images
14.6.4.3.6. Cybersecurity
14.6.4.3.7. Risk Assessment
14.6.4.3.8. Speech Recognition
14.6.4.3.9. Others
14.6.4.4. New Zealand Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Industry
14.6.4.4.1. Banking, Finance and Insurance
14.6.4.4.2. IT and Telecom
14.6.4.4.3. Agriculture
14.6.4.4.4. Media and Entertainment
14.6.4.4.5. Healthcare
14.6.4.4.6. Government
14.6.4.4.7. Retail
14.6.4.4.8. Manufacturing
14.6.4.4.9. Transportation and Logistics
14.6.4.4.10. Energy and Utilities
14.6.4.4.11. Others
14.6.5. Australia
14.6.5.1. Australia Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Offering
14.6.5.1.1. Platform
14.6.5.1.2. Services
14.6.5.2. Australia Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Organization Size
14.6.5.2.1. Large Enterprise
14.6.5.2.2. Small and Medium Size Enterprise
14.6.5.3. Australia Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Application
14.6.5.3.1. Document Classification
14.6.5.3.2. Sentiment analysis
14.6.5.3.3. Video analysis
14.6.5.3.4. Object detection in images
14.6.5.3.5. Face detection from images
14.6.5.3.6. Cybersecurity
14.6.5.3.7. Risk Assessment
14.6.5.3.8. Speech Recognition
14.6.5.3.9. Others
14.6.5.4. Australia Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Industry
14.6.5.4.1. Banking, Finance and Insurance
14.6.5.4.2. IT and Telecom
14.6.5.4.3. Agriculture
14.6.5.4.4. Media and Entertainment
14.6.5.4.5. Healthcare
14.6.5.4.6. Government
14.6.5.4.7. Retail
14.6.5.4.8. Manufacturing
14.6.5.4.9. Transportation and Logistics
14.6.5.4.10. Energy and Utilities
14.6.5.4.11. Others
14.6.6. South Korea
14.6.6.1. South Korea Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Offering
14.6.6.1.1. Platform
14.6.6.1.2. Services
14.6.6.2. South Korea Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Organization Size
14.6.6.2.1. Large Enterprise
14.6.6.2.2. Small and Medium Size Enterprise
14.6.6.3. South Korea Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Application
14.6.6.3.1. Document Classification
14.6.6.3.2. Sentiment analysis
14.6.6.3.3. Video analysis
14.6.6.3.4. Object detection in images
14.6.6.3.5. Face detection from images
14.6.6.3.6. Cybersecurity
14.6.6.3.7. Risk Assessment
14.6.6.3.8. Speech Recognition
14.6.6.3.9. Others
14.6.6.4. South Korea Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Industry
14.6.6.4.1. Banking, Finance and Insurance
14.6.6.4.2. IT and Telecom
14.6.6.4.3. Agriculture
14.6.6.4.4. Media and Entertainment
14.6.6.4.5. Healthcare
14.6.6.4.6. Government
14.6.6.4.7. Retail
14.6.6.4.8. Manufacturing
14.6.6.4.9. Transportation and Logistics
14.6.6.4.10. Energy and Utilities
14.6.6.4.11. Others
14.6.7. Southeast Asia
14.6.7.1. Southeast Asia Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Offering
14.6.7.1.1. Platform
14.6.7.1.2. Services
14.6.7.2. Southeast Asia Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Organization Size
14.6.7.2.1. Large Enterprise
14.6.7.2.2. Small and Medium Size Enterprise
14.6.7.3. Southeast Asia Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Application
14.6.7.3.1. Document Classification
14.6.7.3.2. Sentiment analysis
14.6.7.3.3. Video analysis
14.6.7.3.4. Object detection in images
14.6.7.3.5. Face detection from images
14.6.7.3.6. Cybersecurity
14.6.7.3.7. Risk Assessment
14.6.7.3.8. Speech Recognition
14.6.7.3.9. Others
14.6.7.4. Southeast Asia Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Industry
14.6.7.4.1. Banking, Finance and Insurance
14.6.7.4.2. IT and Telecom
14.6.7.4.3. Agriculture
14.6.7.4.4. Media and Entertainment
14.6.7.4.5. Healthcare
14.6.7.4.6. Government
14.6.7.4.7. Retail
14.6.7.4.8. Manufacturing
14.6.7.4.9. Transportation and Logistics
14.6.7.4.10. Energy and Utilities
14.6.7.4.11. Others
14.6.7.5. Southeast Asia Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Country
14.6.7.5.1. Indonesia
14.6.7.5.2. Thailand
14.6.7.5.3. Malaysia
14.6.7.5.4. Singapore
14.6.7.5.5. Rest of Southeast Asia
14.6.8. Rest of Asia Pacific
14.6.8.1. Rest of Asia Pacific Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Offering
14.6.8.1.1. Platform
14.6.8.1.2. Services
14.6.8.2. Rest of Asia Pacific Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Organization Size
14.6.8.2.1. Large Enterprise
14.6.8.2.2. Small and Medium Size Enterprise
14.6.8.3. Rest of Asia Pacific Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Application
14.6.8.3.1. Document Classification
14.6.8.3.2. Sentiment analysis
14.6.8.3.3. Video analysis
14.6.8.3.4. Object detection in images
14.6.8.3.5. Face detection from images
14.6.8.3.6. Cybersecurity
14.6.8.3.7. Risk Assessment
14.6.8.3.8. Speech Recognition
14.6.8.3.9. Others
14.6.8.4. Rest of Asia Pacific Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Industry
14.6.8.4.1. Banking, Finance and Insurance
14.6.8.4.2. IT and Telecom
14.6.8.4.3. Agriculture
14.6.8.4.4. Media and Entertainment
14.6.8.4.5. Healthcare
14.6.8.4.6. Government
14.6.8.4.7. Retail
14.6.8.4.8. Manufacturing
14.6.8.4.9. Transportation and Logistics
14.6.8.4.10. Energy and Utilities
14.6.8.4.11. Others
14.7. Key Segment for Channeling Investments
14.7.1. By Country
14.7.2. By Offering
14.7.3. By Organization Size
14.7.4. By Application
14.7.5. By Industry
15. Middle East and Africa Cloud Automated
Machine Learning (AutoML) Market
Analysis and Forecasts, 2022 - 2030
15.1. Overview
15.1.1. Middle East and Africa Cloud Automated
Machine Learning (AutoML) Market Revenue
(US$ Mn)
15.2. Middle East and Africa Cloud Automated
Machine Learning (AutoML) Market Revenue
(US$ Mn) and Forecasts, By Offering
15.2.1. Platform
15.2.2. Services
15.3. Middle East and Africa Cloud Automated
Machine Learning (AutoML) Market Revenue
(US$ Mn) and Forecasts, By Organization Size
15.3.1. Large Enterprise
15.3.2. Small and Medium Size Enterprise
15.4. Middle East and Africa Cloud Automated
Machine Learning (AutoML) Market Revenue
(US$ Mn) and Forecasts, By Application
15.4.1. Document Classification
15.4.2. Sentiment analysis
15.4.3. Video analysis
15.4.4. Object detection in images
15.4.5. Face detection from images
15.4.6. Cybersecurity
15.4.7. Risk Assessment
15.4.8. Speech Recognition
15.4.9. Others
15.5. Middle East and Africa Cloud Automated
Machine Learning (AutoML) Market Revenue
(US$ Mn) and Forecasts, By Industry
15.5.1. Banking, Finance and Insurance
15.5.2. IT and Telecom
15.5.3. Agriculture
15.5.4. Media and Entertainment
15.5.5. Healthcare
15.5.6. Government
15.5.7. Retail
15.5.8. Manufacturing
15.5.9. Transportation and Logistics
15.5.10. Energy and Utilities
15.5.11. Others
15.6. Middle East and Africa Cloud Automated
Machine Learning (AutoML) Market Revenue
(US$ Mn) and Forecasts, By Country
15.6.1. Saudi Arabia
15.6.1.1. Saudi Arabia Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Offering
15.6.1.1.1. Platform
15.6.1.1.2. Services
15.6.1.2. Saudi Arabia Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Organization Size
15.6.1.2.1. Large Enterprise
15.6.1.2.2. Small and Medium Size Enterprise
15.6.1.3. Saudi Arabia Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Application
15.6.1.3.1. Document Classification
15.6.1.3.2. Sentiment analysis
15.6.1.3.3. Video analysis
15.6.1.3.4. Object detection in images
15.6.1.3.5. Face detection from images
15.6.1.3.6. Cybersecurity
15.6.1.3.7. Risk Assessment
15.6.1.3.8. Speech Recognition
15.6.1.3.9. Others
15.6.1.4. Saudi Arabia Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Industry
15.6.1.4.1. Banking, Finance and Insurance
15.6.1.4.2. IT and Telecom
15.6.1.4.3. Agriculture
15.6.1.4.4. Media and Entertainment
15.6.1.4.5. Healthcare
15.6.1.4.6. Government
15.6.1.4.7. Retail
15.6.1.4.8. Manufacturing
15.6.1.4.9. Transportation and Logistics
15.6.1.4.10. Energy and Utilities
15.6.1.4.11. Others
15.6.2. UAE
15.6.2.1. UAE Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Offering
15.6.2.1.1. Platform
15.6.2.1.2. Services
15.6.2.2. UAE Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Organization Size
15.6.2.2.1. Large Enterprise
15.6.2.2.2. Small and Medium Size Enterprise
15.6.2.3. UAE Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Application
15.6.2.3.1. Document Classification
15.6.2.3.2. Sentiment analysis
15.6.2.3.3. Video analysis
15.6.2.3.4. Object detection in images
15.6.2.3.5. Face detection from images
15.6.2.3.6. Cybersecurity
15.6.2.3.7. Risk Assessment
15.6.2.3.8. Speech Recognition
15.6.2.3.9. Others
15.6.2.4. UAE Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Industry
15.6.2.4.1. Banking, Finance and Insurance
15.6.2.4.2. IT and Telecom
15.6.2.4.3. Agriculture
15.6.2.4.4. Media and Entertainment
15.6.2.4.5. Healthcare
15.6.2.4.6. Government
15.6.2.4.7. Retail
15.6.2.4.8. Manufacturing
15.6.2.4.9. Transportation and Logistics
15.6.2.4.10. Energy and Utilities
15.6.2.4.11. Others
15.6.3. Egypt
15.6.3.1. Egypt Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Offering
15.6.3.1.1. Platform
15.6.3.1.2. Services
15.6.3.2. Egypt Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Organization Size
15.6.3.2.1. Large Enterprise
15.6.3.2.2. Small and Medium Size Enterprise
15.6.3.3. Egypt Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Application
15.6.3.3.1. Document Classification
15.6.3.3.2. Sentiment analysis
15.6.3.3.3. Video analysis
15.6.3.3.4. Object detection in images
15.6.3.3.5. Face detection from images
15.6.3.3.6. Cybersecurity
15.6.3.3.7. Risk Assessment
15.6.3.3.8. Speech Recognition
15.6.3.3.9. Others
15.6.3.4. Egypt Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Industry
15.6.3.4.1. Banking, Finance and Insurance
15.6.3.4.2. IT and Telecom
15.6.3.4.3. Agriculture
15.6.3.4.4. Media and Entertainment
15.6.3.4.5. Healthcare
15.6.3.4.6. Government
15.6.3.4.7. Retail
15.6.3.4.8. Manufacturing
15.6.3.4.9. Transportation and Logistics
15.6.3.4.10. Energy and Utilities
15.6.3.4.11. Others
15.6.4. Kuwait
15.6.4.1. Kuwait Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Offering
15.6.4.1.1. Platform
15.6.4.1.2. Services
15.6.4.2. Kuwait Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Organization Size
15.6.4.2.1. Large Enterprise
15.6.4.2.2. Small and Medium Size Enterprise
15.6.4.3. Kuwait Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Application
15.6.4.3.1. Document Classification
15.6.4.3.2. Sentiment analysis
15.6.4.3.3. Video analysis
15.6.4.3.4. Object detection in images
15.6.4.3.5. Face detection from images
15.6.4.3.6. Cybersecurity
15.6.4.3.7. Risk Assessment
15.6.4.3.8. Speech Recognition
15.6.4.3.9. Others
15.6.4.4. Kuwait Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Industry
15.6.4.4.1. Banking, Finance and Insurance
15.6.4.4.2. IT and Telecom
15.6.4.4.3. Agriculture
15.6.4.4.4. Media and Entertainment
15.6.4.4.5. Healthcare
15.6.4.4.6. Government
15.6.4.4.7. Retail
15.6.4.4.8. Manufacturing
15.6.4.4.9. Transportation and Logistics
15.6.4.4.10. Energy and Utilities
15.6.4.4.11. Others
15.6.5. South Africa
15.6.5.1. South Africa Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Offering
15.6.5.1.1. Platform
15.6.5.1.2. Services
15.6.5.2. South Africa Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Organization Size
15.6.5.2.1. Large Enterprise
15.6.5.2.2. Small and Medium Size Enterprise
15.6.5.3. South Africa Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Application
15.6.5.3.1. Document Classification
15.6.5.3.2. Sentiment analysis
15.6.5.3.3. Video analysis
15.6.5.3.4. Object detection in images
15.6.5.3.5. Face detection from images
15.6.5.3.6. Cybersecurity
15.6.5.3.7. Risk Assessment
15.6.5.3.8. Speech Recognition
15.6.5.3.9. Others
15.6.5.4. South Africa Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Industry
15.6.5.4.1. Banking, Finance and Insurance
15.6.5.4.2. IT and Telecom
15.6.5.4.3. Agriculture
15.6.5.4.4. Media and Entertainment
15.6.5.4.5. Healthcare
15.6.5.4.6. Government
15.6.5.4.7. Retail
15.6.5.4.8. Manufacturing
15.6.5.4.9. Transportation and Logistics
15.6.5.4.10. Energy and Utilities
15.6.5.4.11. Others
15.6.6. Rest of Middle East & Africa
15.6.6.1. Rest of Middle East & Africa Cloud
Automated Machine Learning (AutoML)
Market Revenue (US$ Mn) and Forecasts, By Offering
15.6.6.1.1. Platform
15.6.6.1.2. Services
15.6.6.2. Rest of Middle East & Africa Cloud
Automated Machine Learning (AutoML)
Market Revenue (US$ Mn) and Forecasts, By Organization Size
15.6.6.2.1. Large Enterprise
15.6.6.2.2. Small and Medium Size Enterprise
15.6.6.3. Rest of Middle East & Africa Cloud
Automated Machine Learning (AutoML)
Market Revenue (US$ Mn) and Forecasts, By Application
15.6.6.3.1. Document Classification
15.6.6.3.2. Sentiment analysis
15.6.6.3.3. Video analysis
15.6.6.3.4. Object detection in images
15.6.6.3.5. Face detection from images
15.6.6.3.6. Cybersecurity
15.6.6.3.7. Risk Assessment
15.6.6.3.8. Speech Recognition
15.6.6.3.9. Others
15.6.6.4. Rest of Middle East & Africa Cloud
Automated Machine Learning (AutoML)
Market Revenue (US$ Mn) and Forecasts, By Industry
15.6.6.4.1. Banking, Finance and Insurance
15.6.6.4.2. IT and Telecom
15.6.6.4.3. Agriculture
15.6.6.4.4. Media and Entertainment
15.6.6.4.5. Healthcare
15.6.6.4.6. Government
15.6.6.4.7. Retail
15.6.6.4.8. Manufacturing
15.6.6.4.9. Transportation and Logistics
15.6.6.4.10. Energy and Utilities
15.6.6.4.11. Others
15.7. Key Segment for Channeling Investments
15.7.1. By Country
15.7.2. By Offering
15.7.3. By Organization Size
15.7.4. By Application
15.7.5. By Industry
16. Latin America Cloud Automated Machine
Learning (AutoML) Market Analysis and
Forecasts, 2022 - 2030
16.1. Overview
16.1.1. Latin America Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn)
16.2. Latin America Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Offering
16.2.1. Platform
16.2.2. Services
16.3. Latin America Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Organization Size
16.3.1. Large Enterprise
16.3.2. Small and Medium Size Enterprise
16.4. Latin America Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Application
16.4.1. Document Classification
16.4.2. Sentiment analysis
16.4.3. Video analysis
16.4.4. Object detection in images
16.4.5. Face detection from images
16.4.6. Cybersecurity
16.4.7. Risk Assessment
16.4.8. Speech Recognition
16.4.9. Others
16.5. Latin America Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Industry
16.5.1. Banking, Finance and Insurance
16.5.2. IT and Telecom
16.5.3. Agriculture
16.5.4. Media and Entertainment
16.5.5. Healthcare
16.5.6. Government
16.5.7. Retail
16.5.8. Manufacturing
16.5.9. Transportation and Logistics
16.5.10. Energy and Utilities
16.5.11. Others
16.6. Latin America Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Country
16.6.1. Brazil
16.6.1.1. Brazil Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Offering
16.6.1.1.1. Platform
16.6.1.1.2. Services
16.6.1.2. Brazil Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Organization Size
16.6.1.2.1. Large Enterprise
16.6.1.2.2. Small and Medium Size Enterprise
16.6.1.3. Brazil Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Application
16.6.1.3.1. Document Classification
16.6.1.3.2. Sentiment analysis
16.6.1.3.3. Video analysis
16.6.1.3.4. Object detection in images
16.6.1.3.5. Face detection from images
16.6.1.3.6. Cybersecurity
16.6.1.3.7. Risk Assessment
16.6.1.3.8. Speech Recognition
16.6.1.3.9. Others
16.6.1.4. Brazil Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Industry
16.6.1.4.1. Banking, Finance and Insurance
16.6.1.4.2. IT and Telecom
16.6.1.4.3. Agriculture
16.6.1.4.4. Media and Entertainment
16.6.1.4.5. Healthcare
16.6.1.4.6. Government
16.6.1.4.7. Retail
16.6.1.4.8. Manufacturing
16.6.1.4.9. Transportation and Logistics
16.6.1.4.10. Energy and Utilities
16.6.1.4.11. Others
16.6.2. Argentina
16.6.2.1. Argentina Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Offering
16.6.2.1.1. Platform
16.6.2.1.2. Services
16.6.2.2. Argentina Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Organization Size
16.6.2.2.1. Large Enterprise
16.6.2.2.2. Small and Medium Size Enterprise
16.6.2.3. Argentina Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Application
16.6.2.3.1. Document Classification
16.6.2.3.2. Sentiment analysis
16.6.2.3.3. Video analysis
16.6.2.3.4. Object detection in images
16.6.2.3.5. Face detection from images
16.6.2.3.6. Cybersecurity
16.6.2.3.7. Risk Assessment
16.6.2.3.8. Speech Recognition
16.6.2.3.9. Others
16.6.2.4. Argentina Cloud Automated Machine Learning
(AutoML) Market Revenue (US$ Mn) and
Forecasts, By Industry
16.6.2.4.1. Banking, Finance and Insurance
16.6.2.4.2. IT and Telecom
16.6.2.4.3. Agriculture
16.6.2.4.4. Media and Entertainment
16.6.2.4.5. Healthcare
16.6.2.4.6. Government
16.6.2.4.7. Retail
16.6.2.4.8. Manufacturing
16.6.2.4.9. Transportation and Logistics
16.6.2.4.10. Energy and Utilities
16.6.2.4.11. Others
16.6.3. Rest of Latin America
16.6.3.1. Rest of Latin America Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Offering
16.6.3.1.1. Platform
16.6.3.1.2. Services
16.6.3.2. Rest of Latin America Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Organization Size
16.6.3.2.1. Large Enterprise
16.6.3.2.2. Small and Medium Size Enterprise
16.6.3.3. Rest of Latin America Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Application
16.6.3.3.1. Document Classification
16.6.3.3.2. Sentiment analysis
16.6.3.3.3. Video analysis
16.6.3.3.4. Object detection in images
16.6.3.3.5. Face detection from images
16.6.3.3.6. Cybersecurity
16.6.3.3.7. Risk Assessment
16.6.3.3.8. Speech Recognition
16.6.3.3.9. Others
16.6.3.4. Rest of Latin America Cloud Automated Machine
Learning (AutoML) Market Revenue (US$
Mn) and Forecasts, By Industry
16.6.3.4.1. Banking, Finance and Insurance
16.6.3.4.2. IT and Telecom
16.6.3.4.3. Agriculture
16.6.3.4.4. Media and Entertainment
16.6.3.4.5. Healthcare
16.6.3.4.6. Government
16.6.3.4.7. Retail
16.6.3.4.8. Manufacturing
16.6.3.4.9. Transportation and Logistics
16.6.3.4.10. Energy and Utilities
16.6.3.4.11. Others
16.7. Key Segment for Channeling Investments
16.7.1. By Country
16.7.2. By Offering
16.7.3. By Organization Size
16.7.4. By Application
16.7.5. By Industry
17. Competitive Benchmarking
17.1. Market Share Analysis, 2021
17.2. Global Presence and Growth Strategies
17.2.1. Mergers and Acquisitions
17.2.2. Product Launches
17.2.3. Investments Trends
17.2.4. R&D Initiatives
18. Player Profiles
18.1. Amazon Web Services Inc.
18.1.1. Company Details
18.1.2. Company Overview
18.1.3. Product Offerings
18.1.4. Key Developments
18.1.5. Financial Analysis
18.1.6. SWOT Analysis
18.1.7. Business Strategies
18.2. Auger
18.2.1. Company Details
18.2.2. Company Overview
18.2.3. Product Offerings
18.2.4. Key Developments
18.2.5. Financial Analysis
18.2.6. SWOT Analysis
18.2.7. Business Strategies
18.3. DataRobot Inc.
18.3.1. Company Details
18.3.2. Company Overview
18.3.3. Product Offerings
18.3.4. Key Developments
18.3.5. Financial Analysis
18.3.6. SWOT Analysis
18.3.7. Business Strategies
18.4. Google
18.4.1. Company Details
18.4.2. Company Overview
18.4.3. Product Offerings
18.4.4. Key Developments
18.4.5. Financial Analysis
18.4.6. SWOT Analysis
18.4.7. Business Strategies
18.5. H2O.ai Inc.
18.5.1. Company Details
18.5.2. Company Overview
18.5.3. Product Offerings
18.5.4. Key Developments
18.5.5. Financial Analysis
18.5.6. SWOT Analysis
18.5.7. Business Strategies
18.6. IBM
18.6.1. Company Details
18.6.2. Company Overview
18.6.3. Product Offerings
18.6.4. Key Developments
18.6.5. Financial Analysis
18.6.6. SWOT Analysis
18.6.7. Business Strategies
18.7. JADBio – Gnosis DA S.A.
18.7.1. Company Details
18.7.2. Company Overview
18.7.3. Product Offerings
18.7.4. Key Developments
18.7.5. Financial Analysis
18.7.6. SWOT Analysis
18.7.7. Business Strategies
18.8. Microsoft
18.8.1. Company Details
18.8.2. Company Overview
18.8.3. Product Offerings
18.8.4. Key Developments
18.8.5. Financial Analysis
18.8.6. SWOT Analysis
18.8.7. Business Strategies
18.9. QlikTech International AB
18.9.1. Company Details
18.9.2. Company Overview
18.9.3. Product Offerings
18.9.4. Key Developments
18.9.5. Financial Analysis
18.9.6. SWOT Analysis
18.9.7. Business Strategies
18.10. SAS Institute Inc.
18.10.1. Company Details
18.10.2. Company Overview
18.10.3. Product Offerings
18.10.4. Key Developments
18.10.5. Financial Analysis
18.10.6. SWOT Analysis
18.10.7. Business Strategies
18.11. Other Market Participants
19. Key Findings
Note: This ToC is tentative
and can be changed according to the research study conducted during the course
of report completion.
**Exclusive
for Multi-User and 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
Secondary Research includes data extracted from paid data sources:
- Reuters
- Factiva
- Bloomberg
- One Source
- Hoovers
Research Methodology
Key Inclusions
