Retail Intelligence Market By Application (Product Tagging and Recognition, Assortment Intelligence, Pricing Intelligence, Competitor Intelligence, In-Store Analytics and Others), By Store Type (Online, Offline (Departmental Stores, Discount Stores, Supermarket, Warehouse Stores, Specialty Stores, Others)); By Organization Size Small and Medium Enterprises, Large Enterprises); By Offering (Hardware, Software (On Premise, Cloud), Services); 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, 2019 - 2027
Industry Trends
Technological advancements and social transformation has led to change in shopping habits of people. Owing to which, a lot of consumer behavioral data is collected to analyze shopping trends of consumers and deliver the best customized experience. Retailers are focusing on human-centered experience to survive in the competitive market and hence using retail intelligence tools such as pricing intelligence, competitor intelligence, in-store analytics and others. These tools are being used increasingly with an aim to engage customers by saving time and meeting all their needs in one place. Retail intelligence is a set of business intelligence tools and applications that assists retailers in data-driven decision making. Retail intelligence can monitor and optimize variables such as range, space, pricing, promotions, staff, sales and others in real time. It also empowers retailers to gain in depth diagnostics from customer datasets and empowers them to provide value-added services such as same day delivery, curbside pick-up, buy online and pick from store amongst others. Thus these analytical benefits offered to provide enhanced consumer experience is propelling the growth of retail intelligence market across the globe.
As per a recent study, released by Indian Ministry of Commerce & Industry in March 2020 states that retail sector of India is projected to grow at a rate of 31% owing to the fast paced development of e-commerce sector. Digitalization is empowering customers to browse, compare and buy products on the go. Hence retailers are adopting digital transformative strategies to innovate and deliver enriching and engaging experience to customers, digitally as well as physically. For instance, the ‘Nike House of Innovation 000’ is a flagship store of Nike opened in New York City in November 2018 allowing customers to reserve shoes online to try them in the store, thus creating highly immersive digital experience for customers. Big e-commerce giants including Amazon are also entering the space of physical retail store digitalization. Amazon has opened its second Amazon Go store at Seattle in 2020 which utilizes a combination of deep learning and sensor fusion technology to automate the payment and check out process. The company has also announced in March 2020 to offer this technology to other retailers. These digitalization trends is further enabling retailers to use retail intelligence to analyze buying behaviour of customers, which in turn is driving the growth of global retail intelligence market over forecast period.
In the wake of recent outbreak of COVID-19 pandemic, which has affected countries across the continents with a death toll of more than 320,000 people, industries are facing a global shutdown to stop the spread of coronavirus. The retail industry is reshaping its strategies and opting for digitalization with new technologies. Sony, Nike and other retailers are pushing for online sales and offering promotional discounts. Prada, Tesla, and other brands have launched their stores on a Chinese digital platform called Tmall. House locked consumers in China are using online grocery apps for daily supplies. For instance, JD.com , a Chinese online retailer claimed growth of 215% between January to February 2020. Consumer behaviours are anticipated to change in the post covid-19 phase and new concepts such as contact less shopping will have more preference among customers without compromising user experience. Retailers are introducing innovative solutions such as virtual trial rooms, digital queues and others to cope with COVID-19 crisis. The digitalization of retailers is further enabling application of analytics for price optimization, competitor analysis, marketing, inventory management and other business intelligence tools. The current COVID-19 epidemic is further fuelling the growth of retail intelligence market across the globe.
In terms of revenue, the global retail intelligence market was valued at US$ 1,681.2 Mn in 2018 and is expected to reach US$ 23,884.4 Mn by 2027 growing at a CAGR of 34.45% 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 Retail Intelligence Market Revenue & Forecast, (US$ Million), 2015 – 2027
Application Outlook:
Retail intelligence can assist retailers in numerous ways with few major applications such as, product tagging and recognition (using computer vision for tagging products on shelf and monitoring the stock), assortment intelligence (analyzing inventory and latest product trends to optimize offerings), pricing intelligence (automatically optimizing the price through data analytics), competitor intelligence (collection and analysis of competitor data to develop efficient business practices), in-store analytics (collecting and analyzing in-store behavioral data of customers) and others. Product Tagging and Recognition application accounted for highest share of global retail intelligence market in 2018 however in-store analytics application is anticipated to register highest market growth over forecast years. The rising adoption of
digital technologies such as electronic price tags, smart shelves and others are being adopted by retailers for in-store branding, which is further enhancing customer engagement and experience. Planogram software tools assist in optimizing shelf space and store layouts. For instance, the SmartDraw, LLC provides planogram software for making layouts either online or by downloading on a device. Thus planogram software tools enables retailers to optimize their sales through better visualization and management of products on shelves. The focus of retailers on delivering customized experience through in-store analytics is poised to drive the growth of this segment in the global retail intelligence market over forecast period.
Store Type Outlook
Based on type of stores, online stores dominated the global retail intelligence market in 2018 owing to the expansion and growing investment in e-commerce industry. According to the U.S Department of Commerce data, in April 2020 the non-store retail sales across U.S rose by 20.5%. As the online retail market is growing, players in this industry are heavily investing in digital retail intelligence tools for delivering physical store alike experience to customers thus further expanding the growth of global retail intelligence market. Brick and mortar stores still account for a major share in retail sale and the management. Owing to stringent competition from online retailers, offline stores are now opting for digital solutions and retail intelligence tools to provide competitive pricing and service to customers. For instance, in July 2019, Kamal Singhani, Managing Partner at IBM stated in a press release that IBM has partnered with Future Group and other retailers to deliver digitalization through their data. Thus, growing adopting of retail intelligence tools by offline retails stores is anticipated to boost their share in global retail intelligence market over the forecast period.
Regional Outlook:
North America dominated the global retail intelligence market in 2018, however Latin America is anticipated to show highest growth rate over the forecast years with growing investment by retailers. Leading supermarket players in the North America region are adopting digital technologies for transforming overall experience of their stores. For instance, in January 2018 Kroger and Microsoft partnered to implement smart shelf technology which utilizes electronic shelf labels and cameras for navigating in a retail environment and further customize advertisement and promotional content based on these labels. Thus, this shift of retailers of delivery based on consumer preference and behaviour is aiding towards the growth of North American region in global retail intelligence market.
Competitive Landscape
The report provides both, qualitative and quantitative research of retail intelligence 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 analyzed 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 retail intelligence market are ARpalus, Badger Technologies, LLC., BeMyEye Holdings Ltd, Bossa Nova Robotics, Focal Systems Inc., Inspector Cloud, Lakeba Corporation Pty Ltd, Market6, Inc., Maxerience Electrosystems Pvt Ltd., Pensa Systems, Inc., Retail Solutions Inc., ReTech Labs, Inc., Shelfwatch, Simbe Robotics, Inc., Trax Technology Solutions Pte Ltd., Vispera Information Technologies and Zippedi amongst others.
Global Retail Intelligence Market:
By Application
- Product Tagging and Recognition
- Assortment Intelligence
- Pricing Intelligence
- Competitor Intelligence
- In-Store Analytics
- Others
By Store Type
- Online
- Offline
- Departmental Stores
- Discount Stores
- Supermarket
- Warehouse Stores
- Specialty Stores
- Others
By Organization Size
- Small and Medium Enterprises
- Large Enterprises
By Offering
- Hardware
- Software
- On Premise
- Cloud
- Services
By Geography
- North America
- US
- 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 and 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
- 2017
1.2.2. Base Year: 2018
1.2.3. Forecast Years: 2019
– 2027
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 Retail Intelligence Market
6. Market Synopsis: Retail Intelligence Market
7. Retail Intelligence 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 Retail
Intelligence Market
7.4. Market Determinants
Radar Chart
7.5. Macro-Economic and
Micro-Economic Indicators: Retail Intelligence
Market
7.6. Porter’s Five Force
Analysis
8. Global Retail Intelligence Market Analysis and Forecasts, 2019 – 2027
8.1. Overview
8.1.1. Global Retail
Intelligence Market Revenue (US$ Mn)
8.2. Global Retail
Intelligence Market Revenue (US$ Mn) and
Forecasts, By Application
8.2.1. Product Tagging and
Recognition
8.2.1.1. Definition
8.2.1.2. Market
Estimation and Penetration, 2015 – 2018
8.2.1.3. Market
Forecast, 2019 – 2027
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
– 2018
8.2.1.5.1.2. Market Forecast,
2019 – 2027
8.2.1.5.2. Europe
8.2.1.5.2.1. Market Estimation, 2015
– 2018
8.2.1.5.2.2. Market Forecast,
2019 – 2027
8.2.1.5.3. Asia
Pacific
8.2.1.5.3.1. Market Estimation, 2015
– 2018
8.2.1.5.3.2. Market Forecast,
2019 – 2027
8.2.1.5.4. Middle
East and Africa
8.2.1.5.4.1. Market Estimation, 2015
– 2018
8.2.1.5.4.2. Market Forecast,
2019 – 2027
8.2.1.5.5. Latin
America
8.2.1.5.5.1. Market Estimation, 2015
– 2018
8.2.1.5.5.2. Market Forecast,
2019 – 2027
8.2.2. Assortment
Intelligence
8.2.2.1. Definition
8.2.2.2. Market
Estimation and Penetration, 2015 – 2018
8.2.2.3. Market
Forecast, 2019 – 2027
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
– 2018
8.2.2.5.1.2. Market Forecast,
2019 – 2027
8.2.2.5.2. Europe
8.2.2.5.2.1. Market Estimation, 2015
– 2018
8.2.2.5.2.2. Market Forecast,
2019 – 2027
8.2.2.5.3. Asia
Pacific
8.2.2.5.3.1. Market Estimation, 2015
– 2018
8.2.2.5.3.2. Market Forecast,
2019 – 2027
8.2.2.5.4. Middle
East and Africa
8.2.2.5.4.1. Market Estimation, 2015
– 2018
8.2.2.5.4.2. Market Forecast,
2019 – 2027
8.2.2.5.5. Latin
America
8.2.2.5.5.1. Market Estimation, 2015
– 2018
8.2.2.5.5.2. Market Forecast,
2019 – 2027
8.2.3. Pricing Intelligence
8.2.3.1. Definition
8.2.3.2. Market
Estimation and Penetration, 2015 – 2018
8.2.3.3. Market
Forecast, 2019 – 2027
8.2.3.4. Compound
Annual Growth Rate (CAGR)
8.2.3.5. Regional
Bifurcation
8.2.3.5.1. North
America
8.2.3.5.1.1. Market Estimation, 2015
– 2018
8.2.3.5.1.2. Market Forecast,
2019 – 2027
8.2.3.5.2. Europe
8.2.3.5.2.1. Market Estimation, 2015
– 2018
8.2.3.5.2.2. Market Forecast,
2019 – 2027
8.2.3.5.3. Asia
Pacific
8.2.3.5.3.1. Market Estimation, 2015
– 2018
8.2.3.5.3.2. Market Forecast,
2019 – 2027
8.2.3.5.4. Middle
East and Africa
8.2.3.5.4.1. Market Estimation, 2015
– 2018
8.2.3.5.4.2. Market Forecast,
2019 – 2027
8.2.3.5.5. Latin
America
8.2.3.5.5.1. Market Estimation, 2015
– 2018
8.2.3.5.5.2. Market Forecast,
2019 – 2027
8.2.4. Competitor
Intelligence
8.2.4.1. Definition
8.2.4.2. Market
Estimation and Penetration, 2015 – 2018
8.2.4.3. Market
Forecast, 2019 – 2027
8.2.4.4. Compound
Annual Growth Rate (CAGR)
8.2.4.5. Regional
Bifurcation
8.2.4.5.1. North
America
8.2.4.5.1.1. Market Estimation, 2015
– 2018
8.2.4.5.1.2. Market Forecast,
2019 – 2027
8.2.4.5.2. Europe
8.2.4.5.2.1. Market Estimation, 2015
– 2018
8.2.4.5.2.2. Market Forecast,
2019 – 2027
8.2.4.5.3. Asia
Pacific
8.2.4.5.3.1. Market Estimation, 2015
– 2018
8.2.4.5.3.2. Market Forecast,
2019 – 2027
8.2.4.5.4. Middle
East and Africa
8.2.4.5.4.1. Market Estimation, 2015
– 2018
8.2.4.5.4.2. Market Forecast,
2019 – 2027
8.2.4.5.5. Latin America
8.2.4.5.5.1. Market Estimation, 2015
– 2018
8.2.4.5.5.2. Market Forecast,
2019 – 2027
8.2.5. In-Store Analytics
8.2.5.1. Definition
8.2.5.2. Market
Estimation and Penetration, 2015 – 2018
8.2.5.3. Market
Forecast, 2019 – 2027
8.2.5.4. Compound
Annual Growth Rate (CAGR)
8.2.5.5. Regional
Bifurcation
8.2.5.5.1. North
America
8.2.5.5.1.1. Market Estimation, 2015
– 2018
8.2.5.5.1.2. Market Forecast,
2019 – 2027
8.2.5.5.2. Europe
8.2.5.5.2.1. Market Estimation, 2015
– 2018
8.2.5.5.2.2. Market Forecast,
2019 – 2027
8.2.5.5.3. Asia
Pacific
8.2.5.5.3.1. Market Estimation, 2015
– 2018
8.2.5.5.3.2. Market Forecast,
2019 – 2027
8.2.5.5.4. Middle
East and Africa
8.2.5.5.4.1. Market Estimation, 2015
– 2018
8.2.5.5.4.2. Market Forecast,
2019 – 2027
8.2.5.5.5. Latin
America
8.2.5.5.5.1. Market Estimation, 2015
– 2018
8.2.5.5.5.2. Market Forecast,
2019 – 2027
8.2.6. Others
8.2.6.1. Definition
8.2.6.2. Market
Estimation and Penetration, 2015 – 2018
8.2.6.3. Market
Forecast, 2019 – 2027
8.2.6.4. Compound
Annual Growth Rate (CAGR)
8.2.6.5. Regional
Bifurcation
8.2.6.5.1. North
America
8.2.6.5.1.1. Market Estimation, 2015
– 2018
8.2.6.5.1.2. Market Forecast,
2019 – 2027
8.2.6.5.2. Europe
8.2.6.5.2.1. Market Estimation, 2015
– 2018
8.2.6.5.2.2. Market Forecast,
2019 – 2027
8.2.6.5.3. Asia
Pacific
8.2.6.5.3.1. Market Estimation, 2015
– 2018
8.2.6.5.3.2. Market Forecast,
2019 – 2027
8.2.6.5.4. Middle
East and Africa
8.2.6.5.4.1. Market Estimation, 2015
– 2018
8.2.6.5.4.2. Market Forecast,
2019 – 2027
8.2.6.5.5. Latin
America
8.2.6.5.5.1. Market Estimation, 2015
– 2018
8.2.6.5.5.2. Market Forecast,
2019 – 2027
8.3. Key Segment for Channeling Investments
8.3.1. By Application
9. Global Retail Intelligence Market Analysis and Forecasts, 2019 – 2027
9.1. Overview
9.2. Global Retail
Intelligence Market Revenue (US$ Mn) and
Forecasts, By Store Type
9.2.1. Online
9.2.1.1. Definition
9.2.1.2. Market
Estimation and Penetration, 2015 – 2018
9.2.1.3. Market
Forecast, 2019 – 2027
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
– 2018
9.2.1.5.1.2. Market Forecast,
2019 – 2027
9.2.1.5.2. Europe
9.2.1.5.2.1. Market Estimation, 2015
– 2018
9.2.1.5.2.2. Market Forecast,
2019 – 2027
9.2.1.5.3. Asia
Pacific
9.2.1.5.3.1. Market Estimation, 2015
– 2018
9.2.1.5.3.2. Market Forecast,
2019 – 2027
9.2.1.5.4. Middle
East and Africa
9.2.1.5.4.1. Market Estimation, 2015
– 2018
9.2.1.5.4.2. Market Forecast,
2019 – 2027
9.2.1.5.5. Latin
America
9.2.1.5.5.1. Market Estimation, 2015
– 2018
9.2.1.5.5.2. Market Forecast,
2019 – 2027
9.2.2. Offline (Definition,
Market Estimation and Penetration, 2015 – 2018, Market Estimation (2015 –
2018), Market Forecast (2019 – 2027), Compound Annual Growth Rate (CAGR),
Regional Bifurcation (North America, Europe, Asia Pacific, Middle East and
Africa, Latin America) and Information on Departmental Stores, Discount Stores,
Supermarket, Warehouse Stores, Specialty Stores, Others )
9.2.2.1. Departmental
Stores
9.2.2.2. Discount
Stores
9.2.2.3. Supermarket
9.2.2.4. Warehouse
Stores
9.2.2.5. Specialty
Stores
9.2.2.6. Others
9.3. Key Segment for Channeling Investments
9.3.1. By Store Type
10. Global Retail Intelligence Market Analysis and Forecasts, 2019 – 2027
10.1. Overview
10.2. Global Retail
Intelligence Market Revenue (US$ Mn) and
Forecasts, By Organization Size
10.2.1. Small and Medium
Enterprises
10.2.1.1. Definition
10.2.1.2. Market
Estimation and Penetration, 2015 – 2018
10.2.1.3. Market
Forecast, 2019 – 2027
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
– 2018
10.2.1.5.1.2. Market Forecast,
2019 – 2027
10.2.1.5.2. Europe
10.2.1.5.2.1. Market Estimation, 2015
– 2018
10.2.1.5.2.2. Market Forecast,
2019 – 2027
10.2.1.5.3. Asia
Pacific
10.2.1.5.3.1. Market Estimation, 2015
– 2018
10.2.1.5.3.2. Market Forecast,
2019 – 2027
10.2.1.5.4. Middle
East and Africa
10.2.1.5.4.1. Market Estimation, 2015
– 2018
10.2.1.5.4.2. Market Forecast,
2019 – 2027
10.2.1.5.5. Latin
America
10.2.1.5.5.1. Market Estimation, 2015
– 2018
10.2.1.5.5.2. Market Forecast,
2019 – 2027
10.2.2. Large Enterprises
10.2.2.1. Definition
10.2.2.2. Market
Estimation and Penetration, 2015 – 2018
10.2.2.3. Market
Forecast, 2019 – 2027
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
– 2018
10.2.2.5.1.2. Market Forecast,
2019 – 2027
10.2.2.5.2. Europe
10.2.2.5.2.1. Market Estimation, 2015
– 2018
10.2.2.5.2.2. Market Forecast,
2019 – 2027
10.2.2.5.3. Asia
Pacific
10.2.2.5.3.1. Market Estimation, 2015
– 2018
10.2.2.5.3.2. Market Forecast,
2019 – 2027
10.2.2.5.4. Middle
East and Africa
10.2.2.5.4.1. Market Estimation, 2015
– 2018
10.2.2.5.4.2. Market Forecast,
2019 – 2027
10.2.2.5.5. Latin
America
10.2.2.5.5.1. Market Estimation, 2015
– 2018
10.2.2.5.5.2. Market Forecast,
2019 – 2027
10.3. Key Segment for Channeling Investments
10.3.1. By Organization Size
11. Global Retail Intelligence Market Analysis and Forecasts, 2019 – 2027
11.1. Overview
11.2. Global Retail
Intelligence Market Revenue (US$ Mn) and
Forecasts, By Offering
11.2.1. Hardware
11.2.1.1. Definition
11.2.1.2. Market
Estimation and Penetration, 2015 – 2018
11.2.1.3. Market
Forecast, 2019 – 2027
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
– 2018
11.2.1.5.1.2. Market Forecast,
2019 – 2027
11.2.1.5.2. Europe
11.2.1.5.2.1. Market Estimation, 2015
– 2018
11.2.1.5.2.2. Market Forecast,
2019 – 2027
11.2.1.5.3. Asia
Pacific
11.2.1.5.3.1. Market Estimation, 2015
– 2018
11.2.1.5.3.2. Market Forecast,
2019 – 2027
11.2.1.5.4. Middle
East and Africa
11.2.1.5.4.1. Market Estimation, 2015
– 2018
11.2.1.5.4.2. Market Forecast,
2019 – 2027
11.2.1.5.5. Latin
America
11.2.1.5.5.1. Market Estimation, 2015
– 2018
11.2.1.5.5.2. Market Forecast,
2019 – 2027
11.2.2. Software
(Definition, Market Estimation and Penetration, 2015 – 2018, Market Estimation
(2015 – 2018), Market Forecast (2019 – 2027), Compound Annual Growth Rate
(CAGR), Regional Bifurcation (North America, Europe, Asia Pacific, Middle East
and Africa, Latin America) and Information on On Premise, Cloud)
11.2.2.1. On
Premise
11.2.2.2. Cloud
11.2.3. Services
11.2.3.1. Definition
11.2.3.2. Market
Estimation and Penetration, 2015 – 2018
11.2.3.3. Market
Forecast, 2019 – 2027
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
– 2018
11.2.3.5.1.2. Market Forecast,
2019 – 2027
11.2.3.5.2. Europe
11.2.3.5.2.1. Market Estimation, 2015
– 2018
11.2.3.5.2.2. Market Forecast,
2019 – 2027
11.2.3.5.3. Asia
Pacific
11.2.3.5.3.1. Market Estimation, 2015
– 2018
11.2.3.5.3.2. Market Forecast,
2019 – 2027
11.2.3.5.4. Middle
East and Africa
11.2.3.5.4.1. Market Estimation, 2015
– 2018
11.2.3.5.4.2. Market Forecast,
2019 – 2027
11.2.3.5.5. Latin
America
11.2.3.5.5.1. Market Estimation, 2015
– 2018
11.2.3.5.5.2. Market Forecast,
2019 – 2027
11.3. Key Segment for Channeling Investments
11.3.1. By Offering
12. North America Retail Intelligence Market Analysis and Forecasts, 2019 - 2027
12.1. Overview
12.1.1. North America Retail
Intelligence Market Revenue (US$ Mn)
12.2. North America Retail
Intelligence Market Revenue (US$ Mn) and
Forecasts, By Application
12.2.1. Product Tagging and
Recognition
12.2.2. Assortment
Intelligence
12.2.3. Pricing Intelligence
12.2.4. Competitor
Intelligence
12.2.5. In-Store Analytics
12.2.6. Others
12.3. North America Retail
Intelligence Market Revenue (US$ Mn) and
Forecasts, By Store Type
12.3.1. Online
12.3.2. Offline
12.3.2.1. Departmental
Stores
12.3.2.2. Discount
Stores
12.3.2.3. Supermarket
12.3.2.4. Warehouse
Stores
12.3.2.5. Specialty
Stores
12.3.2.6. Others
12.4. North America Retail
Intelligence Market Revenue (US$ Mn) and
Forecasts, By Organization Size
12.4.1. Small and Medium
Enterprises
12.4.2. Large Enterprises
12.5. North America Retail
Intelligence Market Revenue (US$ Mn) and
Forecasts, By Offering
12.5.1. Hardware
12.5.2. Software
12.5.2.1. On
Premise
12.5.2.2. Cloud
12.5.3. Services
12.6. North America Retail
Intelligence Market Revenue (US$ Mn) and
Forecasts, By Country
12.6.1. U.S
12.6.1.1. U.S
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Application
12.6.1.1.1. Product
Tagging and Recognition
12.6.1.1.2. Assortment
Intelligence
12.6.1.1.3. Pricing
Intelligence
12.6.1.1.4. Competitor
Intelligence
12.6.1.1.5. In-Store
Analytics
12.6.1.1.6. Others
12.6.1.2. U.S
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Store Type
12.6.1.2.1. Online
12.6.1.2.2. Offline
12.6.1.2.2.1. Departmental Stores
12.6.1.2.2.2. Discount Stores
12.6.1.2.2.3. Supermarket
12.6.1.2.2.4. Warehouse Stores
12.6.1.2.2.5. Specialty Stores
12.6.1.2.2.6. Others
12.6.1.3. U.S
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Organization Size
12.6.1.3.1. Small and
Medium Enterprises
12.6.1.3.2. Large
Enterprises
12.6.1.4. U.S
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Offering
12.6.1.4.1. Hardware
12.6.1.4.2. Software
12.6.1.4.2.1. On Premise
12.6.1.4.2.2. Cloud
12.6.1.4.3. Services
12.6.2. Canada
12.6.2.1. Canada
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Application
12.6.2.1.1. Product
Tagging and Recognition
12.6.2.1.2. Assortment
Intelligence
12.6.2.1.3. Pricing
Intelligence
12.6.2.1.4. Competitor
Intelligence
12.6.2.1.5. In-Store
Analytics
12.6.2.1.6. Others
12.6.2.2. Canada
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Store Type
12.6.2.2.1. Online
12.6.2.2.2. Offline
12.6.2.2.2.1. Departmental Stores
12.6.2.2.2.2. Discount Stores
12.6.2.2.2.3. Supermarket
12.6.2.2.2.4. Warehouse Stores
12.6.2.2.2.5. Specialty Stores
12.6.2.2.2.6. Others
12.6.2.3. Canada
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Organization Size
12.6.2.3.1. Small and
Medium Enterprises
12.6.2.3.2. Large
Enterprises
12.6.2.4. Canada
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Offering
12.6.2.4.1. Hardware
12.6.2.4.2. Software
12.6.2.4.2.1. On Premise
12.6.2.4.2.2. Cloud
12.6.2.4.3. Services
12.6.3. Mexico
12.6.3.1. Mexico
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Application
12.6.3.1.1. Product
Tagging and Recognition
12.6.3.1.2. Assortment
Intelligence
12.6.3.1.3. Pricing
Intelligence
12.6.3.1.4. Competitor
Intelligence
12.6.3.1.5. In-Store
Analytics
12.6.3.1.6. Others
12.6.3.2. Mexico
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Store Type
12.6.3.2.1. Online
12.6.3.2.2. Offline
12.6.3.2.2.1. Departmental Stores
12.6.3.2.2.2. Discount Stores
12.6.3.2.2.3. Supermarket
12.6.3.2.2.4. Warehouse Stores
12.6.3.2.2.5. Specialty Stores
12.6.3.2.2.6. Others
12.6.3.3. Mexico
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Organization Size
12.6.3.3.1. Small and
Medium Enterprises
12.6.3.3.2. Large Enterprises
12.6.3.4. Mexico
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Offering
12.6.3.4.1. Hardware
12.6.3.4.2. Software
12.6.3.4.2.1. On Premise
12.6.3.4.2.2. Cloud
12.6.3.4.3. Services
12.6.4. Rest of North
America
12.6.4.1. Rest of
North America Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Application
12.6.4.1.1. Product
Tagging and Recognition
12.6.4.1.2. Assortment
Intelligence
12.6.4.1.3. Pricing
Intelligence
12.6.4.1.4. Competitor
Intelligence
12.6.4.1.5. In-Store
Analytics
12.6.4.1.6. Others
12.6.4.2. Rest of
North America Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Store Type
12.6.4.2.1. Online
12.6.4.2.2. Offline
12.6.4.2.2.1. Departmental Stores
12.6.4.2.2.2. Discount Stores
12.6.4.2.2.3. Supermarket
12.6.4.2.2.4. Warehouse Stores
12.6.4.2.2.5. Specialty Stores
12.6.4.2.2.6. Others
12.6.4.3. Rest of
North America Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Organization Size
12.6.4.3.1. Small and
Medium Enterprises
12.6.4.3.2. Large
Enterprises
12.6.4.4. Rest of
North America Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Offering
12.6.4.4.1. Hardware
12.6.4.4.2. Software
12.6.4.4.2.1. On Premise
12.6.4.4.2.2. Cloud
12.6.4.4.3. Services
12.7. Key Segment for
Channeling Investments
12.7.1. By Country
12.7.2. By Application
12.7.3. By Store Type
12.7.4. By Organization Size
12.7.5. By Offering
13. Europe Retail Intelligence Market Analysis and Forecasts, 2019 - 2027
13.1. Overview
13.1.1. Europe Retail
Intelligence Market Revenue (US$ Mn)
13.2. Europe Retail
Intelligence Market Revenue (US$ Mn) and
Forecasts, By Application
13.2.1. Product Tagging and
Recognition
13.2.2. Assortment
Intelligence
13.2.3. Pricing Intelligence
13.2.4. Competitor
Intelligence
13.2.5. In-Store Analytics
13.2.6. Others
13.3. Europe Retail
Intelligence Market Revenue (US$ Mn) and
Forecasts, By Store Type
13.3.1. Online
13.3.2. Offline
13.3.2.1. Departmental
Stores
13.3.2.2. Discount
Stores
13.3.2.3. Supermarket
13.3.2.4. Warehouse
Stores
13.3.2.5. Specialty
Stores
13.3.2.6. Others
13.4. Europe Retail Intelligence Market Revenue (US$ Mn) and Forecasts, By
Organization Size
13.4.1. Small and Medium
Enterprises
13.4.2. Large Enterprises
13.5. Europe Retail
Intelligence Market Revenue (US$ Mn) and
Forecasts, By Offering
13.5.1. Hardware
13.5.2. Software
13.5.2.1. On
Premise
13.5.2.2. Cloud
13.5.3. Services
13.6. Europe Retail
Intelligence Market Revenue (US$ Mn) and
Forecasts, By Country
13.6.1. France
13.6.1.1. France
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Application
13.6.1.1.1. Product
Tagging and Recognition
13.6.1.1.2. Assortment
Intelligence
13.6.1.1.3. Pricing
Intelligence
13.6.1.1.4. Competitor
Intelligence
13.6.1.1.5. In-Store
Analytics
13.6.1.1.6. Others
13.6.1.2. France
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Store Type
13.6.1.2.1. Online
13.6.1.2.2. Offline
13.6.1.2.2.1. Departmental Stores
13.6.1.2.2.2. Discount Stores
13.6.1.2.2.3. Supermarket
13.6.1.2.2.4. Warehouse Stores
13.6.1.2.2.5. Specialty Stores
13.6.1.2.2.6. Others
13.6.1.3. France
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Organization Size
13.6.1.3.1. Small and
Medium Enterprises
13.6.1.3.2. Large
Enterprises
13.6.1.4. France
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Offering
13.6.1.4.1. Hardware
13.6.1.4.2. Software
13.6.1.4.2.1. On Premise
13.6.1.4.2.2. Cloud
13.6.1.4.3. Services
13.6.2. The UK
13.6.2.1. The UK
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Application
13.6.2.1.1. Product
Tagging and Recognition
13.6.2.1.2. Assortment
Intelligence
13.6.2.1.3. Pricing
Intelligence
13.6.2.1.4. Competitor
Intelligence
13.6.2.1.5. In-Store
Analytics
13.6.2.1.6. Others
13.6.2.2. The UK
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Store Type
13.6.2.2.1. Online
13.6.2.2.2. Offline
13.6.2.2.2.1. Departmental Stores
13.6.2.2.2.2. Discount Stores
13.6.2.2.2.3. Supermarket
13.6.2.2.2.4. Warehouse Stores
13.6.2.2.2.5. Specialty Stores
13.6.2.2.2.6. Others
13.6.2.3. The UK
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Organization Size
13.6.2.3.1. Small and
Medium Enterprises
13.6.2.3.2. Large
Enterprises
13.6.2.4. The UK
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Offering
13.6.2.4.1. Hardware
13.6.2.4.2. Software
13.6.2.4.2.1. On Premise
13.6.2.4.2.2. Cloud
13.6.2.4.3. Services
13.6.3. Spain
13.6.3.1. Spain
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Application
13.6.3.1.1. Product
Tagging and Recognition
13.6.3.1.2. Assortment
Intelligence
13.6.3.1.3. Pricing
Intelligence
13.6.3.1.4. Competitor
Intelligence
13.6.3.1.5. In-Store
Analytics
13.6.3.1.6. Others
13.6.3.2. Spain
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Store Type
13.6.3.2.1. Online
13.6.3.2.2. Offline
13.6.3.2.2.1. Departmental Stores
13.6.3.2.2.2. Discount Stores
13.6.3.2.2.3. Supermarket
13.6.3.2.2.4. Warehouse Stores
13.6.3.2.2.5. Specialty Stores
13.6.3.2.2.6. Others
13.6.3.3. Spain
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Organization Size
13.6.3.3.1. Small and
Medium Enterprises
13.6.3.3.2. Large
Enterprises
13.6.3.4. Spain
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Offering
13.6.3.4.1. Hardware
13.6.3.4.2. Software
13.6.3.4.2.1. On Premise
13.6.3.4.2.2. Cloud
13.6.3.4.3. Services
13.6.4. Germany
13.6.4.1. Germany
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Application
13.6.4.1.1. Product
Tagging and Recognition
13.6.4.1.2. Assortment
Intelligence
13.6.4.1.3. Pricing
Intelligence
13.6.4.1.4. Competitor
Intelligence
13.6.4.1.5. In-Store
Analytics
13.6.4.1.6. Others
13.6.4.2. Germany
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Store Type
13.6.4.2.1. Online
13.6.4.2.2. Offline
13.6.4.2.2.1. Departmental Stores
13.6.4.2.2.2. Discount Stores
13.6.4.2.2.3. Supermarket
13.6.4.2.2.4. Warehouse Stores
13.6.4.2.2.5. Specialty Stores
13.6.4.2.2.6. Others
13.6.4.3. Germany
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Organization Size
13.6.4.3.1. Small and
Medium Enterprises
13.6.4.3.2. Large
Enterprises
13.6.4.4. Germany
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Offering
13.6.4.4.1. Hardware
13.6.4.4.2. Software
13.6.4.4.2.1. On Premise
13.6.4.4.2.2. Cloud
13.6.4.4.3. Services
13.6.5. Italy
13.6.5.1. Italy
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Application
13.6.5.1.1. Product
Tagging and Recognition
13.6.5.1.2. Assortment
Intelligence
13.6.5.1.3. Pricing
Intelligence
13.6.5.1.4. Competitor
Intelligence
13.6.5.1.5. In-Store
Analytics
13.6.5.1.6. Others
13.6.5.2. Italy
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Store Type
13.6.5.2.1. Online
13.6.5.2.2. Offline
13.6.5.2.2.1. Departmental Stores
13.6.5.2.2.2. Discount Stores
13.6.5.2.2.3. Supermarket
13.6.5.2.2.4. Warehouse Stores
13.6.5.2.2.5. Specialty Stores
13.6.5.2.2.6. Others
13.6.5.3. Italy
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Organization Size
13.6.5.3.1. Small and
Medium Enterprises
13.6.5.3.2. Large
Enterprises
13.6.5.4. Italy
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Offering
13.6.5.4.1. Hardware
13.6.5.4.2. Software
13.6.5.4.2.1. On Premise
13.6.5.4.2.2. Cloud
13.6.5.4.3. Services
13.6.6. Nordic Countries
13.6.6.1. Nordic
Countries Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Application
13.6.6.1.1. Product
Tagging and Recognition
13.6.6.1.2. Assortment
Intelligence
13.6.6.1.3. Pricing
Intelligence
13.6.6.1.4. Competitor
Intelligence
13.6.6.1.5. In-Store
Analytics
13.6.6.1.6. Others
13.6.6.2. Nordic
Countries Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Store Type
13.6.6.2.1. Online
13.6.6.2.2. Offline
13.6.6.2.2.1. Departmental Stores
13.6.6.2.2.2. Discount Stores
13.6.6.2.2.3. Supermarket
13.6.6.2.2.4. Warehouse Stores
13.6.6.2.2.5. Specialty Stores
13.6.6.2.2.6. Others
13.6.6.3. Nordic
Countries Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Organization Size
13.6.6.3.1. Small and
Medium Enterprises
13.6.6.3.2. Large
Enterprises
13.6.6.4. Nordic
Countries Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Offering
13.6.6.4.1. Hardware
13.6.6.4.2. Software
13.6.6.4.2.1. On Premise
13.6.6.4.2.2. Cloud
13.6.6.4.3. Services
13.6.6.5. Nordic
Countries Retail Intelligence 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 Retail Intelligence Market Revenue
(US$ Mn) and Forecasts, By Application
13.6.7.1.1. Product
Tagging and Recognition
13.6.7.1.2. Assortment
Intelligence
13.6.7.1.3. Pricing
Intelligence
13.6.7.1.4. Competitor
Intelligence
13.6.7.1.5. In-Store
Analytics
13.6.7.1.6. Others
13.6.7.2. Benelux
Union Retail Intelligence Market Revenue
(US$ Mn) and Forecasts, By Store Type
13.6.7.2.1. Online
13.6.7.2.2. Offline
13.6.7.2.2.1. Departmental Stores
13.6.7.2.2.2. Discount Stores
13.6.7.2.2.3. Supermarket
13.6.7.2.2.4. Warehouse Stores
13.6.7.2.2.5. Specialty Stores
13.6.7.2.2.6. Others
13.6.7.3. Benelux
Union Retail Intelligence Market Revenue
(US$ Mn) and Forecasts, By Organization Size
13.6.7.3.1. Small and
Medium Enterprises
13.6.7.3.2. Large
Enterprises
13.6.7.4. Benelux
Union Retail Intelligence Market Revenue
(US$ Mn) and Forecasts, By Offering
13.6.7.4.1. Hardware
13.6.7.4.2. Software
13.6.7.4.2.1. On Premise
13.6.7.4.2.2. Cloud
13.6.7.4.3. Services
13.6.7.5. Benelux
Union Retail Intelligence 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 Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Application
13.6.8.1.1. Product
Tagging and Recognition
13.6.8.1.2. Assortment
Intelligence
13.6.8.1.3. Pricing
Intelligence
13.6.8.1.4. Competitor
Intelligence
13.6.8.1.5. In-Store
Analytics
13.6.8.1.6. Others
13.6.8.2. Rest of
Europe Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Store Type
13.6.8.2.1. Online
13.6.8.2.2. Offline
13.6.8.2.2.1. Departmental Stores
13.6.8.2.2.2. Discount Stores
13.6.8.2.2.3. Supermarket
13.6.8.2.2.4. Warehouse Stores
13.6.8.2.2.5. Specialty Stores
13.6.8.2.2.6. Others
13.6.8.3. Rest of
Europe Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Organization Size
13.6.8.3.1. Small and
Medium Enterprises
13.6.8.3.2. Large
Enterprises
13.6.8.4. Rest of
Europe Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Offering
13.6.8.4.1. Hardware
13.6.8.4.2. Software
13.6.8.4.2.1. On Premise
13.6.8.4.2.2. Cloud
13.6.8.4.3. Services
13.7. Key Segment for
Channeling Investments
13.7.1. By Country
13.7.2. By Application
13.7.3. By Store Type
13.7.4. By Organization Size
13.7.5. By Offering
14. Asia Pacific Retail Intelligence Market Analysis and Forecasts, 2019 - 2027
14.1. Overview
14.1.1. Asia Pacific Retail
Intelligence Market Revenue (US$ Mn)
14.2. Asia Pacific Retail
Intelligence Market Revenue (US$ Mn) and
Forecasts, By Application
14.2.1. Product Tagging and
Recognition
14.2.2. Assortment
Intelligence
14.2.3. Pricing Intelligence
14.2.4. Competitor
Intelligence
14.2.5. In-Store Analytics
14.2.6. Others
14.3. Asia Pacific Retail
Intelligence Market Revenue (US$ Mn) and
Forecasts, By Store Type
14.3.1. Online
14.3.2. Offline
14.3.2.1. Departmental
Stores
14.3.2.2. Discount
Stores
14.3.2.3. Supermarket
14.3.2.4. Warehouse
Stores
14.3.2.5. Specialty
Stores
14.3.2.6. Others
14.4. Asia Pacific Retail
Intelligence Market Revenue (US$ Mn) and
Forecasts, By Organization Size
14.4.1. Small and Medium
Enterprises
14.4.2. Large Enterprises
14.5. Asia Pacific Retail
Intelligence Market Revenue (US$ Mn) and
Forecasts, By Offering
14.5.1. Hardware
14.5.2. Software
14.5.2.1. On
Premise
14.5.2.2. Cloud
14.5.3. Services
14.6. Asia Pacific Retail
Intelligence Market Revenue (US$ Mn) and
Forecasts, By Country
14.6.1. China
14.6.1.1. China
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Application
14.6.1.1.1. Product
Tagging and Recognition
14.6.1.1.2. Assortment
Intelligence
14.6.1.1.3. Pricing
Intelligence
14.6.1.1.4. Competitor
Intelligence
14.6.1.1.5. In-Store
Analytics
14.6.1.1.6. Others
14.6.1.2. China
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Store Type
14.6.1.2.1. Online
14.6.1.2.2. Offline
14.6.1.2.2.1. Departmental Stores
14.6.1.2.2.2. Discount Stores
14.6.1.2.2.3. Supermarket
14.6.1.2.2.4. Warehouse Stores
14.6.1.2.2.5. Specialty Stores
14.6.1.2.2.6. Others
14.6.1.3. China
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Organization Size
14.6.1.3.1. Small and
Medium Enterprises
14.6.1.3.2. Large
Enterprises
14.6.1.4. China
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Offering
14.6.1.4.1. Hardware
14.6.1.4.2. Software
14.6.1.4.2.1. On Premise
14.6.1.4.2.2. Cloud
14.6.1.4.3. Services
14.6.2. Japan
14.6.2.1. Japan
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Application
14.6.2.1.1. Product
Tagging and Recognition
14.6.2.1.2. Assortment
Intelligence
14.6.2.1.3. Pricing
Intelligence
14.6.2.1.4. Competitor
Intelligence
14.6.2.1.5. In-Store
Analytics
14.6.2.1.6. Others
14.6.2.2. Japan
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Store Type
14.6.2.2.1. Online
14.6.2.2.2. Offline
14.6.2.2.2.1. Departmental Stores
14.6.2.2.2.2. Discount Stores
14.6.2.2.2.3. Supermarket
14.6.2.2.2.4. Warehouse Stores
14.6.2.2.2.5. Specialty Stores
14.6.2.2.2.6. Others
14.6.2.3. Japan
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Organization Size
14.6.2.3.1. Small and
Medium Enterprises
14.6.2.3.2. Large
Enterprises
14.6.2.4. Japan
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Offering
14.6.2.4.1. Hardware
14.6.2.4.2. Software
14.6.2.4.2.1. On Premise
14.6.2.4.2.2. Cloud
14.6.2.4.3. Services
14.6.3. India
14.6.3.1. India
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Application
14.6.3.1.1. Product
Tagging and Recognition
14.6.3.1.2. Assortment
Intelligence
14.6.3.1.3. Pricing
Intelligence
14.6.3.1.4. Competitor
Intelligence
14.6.3.1.5. In-Store
Analytics
14.6.3.1.6. Others
14.6.3.2. India
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Store Type
14.6.3.2.1. Online
14.6.3.2.2. Offline
14.6.3.2.2.1. Departmental Stores
14.6.3.2.2.2. Discount Stores
14.6.3.2.2.3. Supermarket
14.6.3.2.2.4. Warehouse Stores
14.6.3.2.2.5. Specialty Stores
14.6.3.2.2.6. Others
14.6.3.3. India
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Organization Size
14.6.3.3.1. Small and
Medium Enterprises
14.6.3.3.2. Large
Enterprises
14.6.3.4. India
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Offering
14.6.3.4.1. Hardware
14.6.3.4.2. Software
14.6.3.4.2.1. On Premise
14.6.3.4.2.2. Cloud
14.6.3.4.3. Services
14.6.4. New Zealand
14.6.4.1. New
Zealand Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Application
14.6.4.1.1. Product
Tagging and Recognition
14.6.4.1.2. Assortment
Intelligence
14.6.4.1.3. Pricing
Intelligence
14.6.4.1.4. Competitor
Intelligence
14.6.4.1.5. In-Store
Analytics
14.6.4.1.6. Others
14.6.4.2. New Zealand
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Store Type
14.6.4.2.1. Online
14.6.4.2.2. Offline
14.6.4.2.2.1. Departmental Stores
14.6.4.2.2.2. Discount Stores
14.6.4.2.2.3. Supermarket
14.6.4.2.2.4. Warehouse Stores
14.6.4.2.2.5. Specialty Stores
14.6.4.2.2.6. Others
14.6.4.3. New
Zealand Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Organization Size
14.6.4.3.1. Small and
Medium Enterprises
14.6.4.3.2. Large
Enterprises
14.6.4.4. New
Zealand Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Offering
14.6.4.4.1. Hardware
14.6.4.4.2. Software
14.6.4.4.2.1. On Premise
14.6.4.4.2.2. Cloud
14.6.4.4.3. Services
14.6.5. Australia
14.6.5.1. Australia
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Application
14.6.5.1.1. Product
Tagging and Recognition
14.6.5.1.2. Assortment
Intelligence
14.6.5.1.3. Pricing
Intelligence
14.6.5.1.4. Competitor
Intelligence
14.6.5.1.5. In-Store
Analytics
14.6.5.1.6. Others
14.6.5.2. Australia
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Store Type
14.6.5.2.1. Online
14.6.5.2.2. Offline
14.6.5.2.2.1. Departmental Stores
14.6.5.2.2.2. Discount Stores
14.6.5.2.2.3. Supermarket
14.6.5.2.2.4. Warehouse Stores
14.6.5.2.2.5. Specialty Stores
14.6.5.2.2.6. Others
14.6.5.3. Australia
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Organization Size
14.6.5.3.1. Small and
Medium Enterprises
14.6.5.3.2. Large
Enterprises
14.6.5.4. Australia
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Offering
14.6.5.4.1. Hardware
14.6.5.4.2. Software
14.6.5.4.2.1. On Premise
14.6.5.4.2.2. Cloud
14.6.5.4.3. Services
14.6.6. South Korea
14.6.6.1. South
Korea Retail Intelligence Market Revenue
(US$ Mn) and Forecasts, By Application
14.6.6.1.1. Product
Tagging and Recognition
14.6.6.1.2. Assortment
Intelligence
14.6.6.1.3. Pricing
Intelligence
14.6.6.1.4. Competitor
Intelligence
14.6.6.1.5. In-Store
Analytics
14.6.6.1.6. Others
14.6.6.2. South
Korea Retail Intelligence Market Revenue
(US$ Mn) and Forecasts, By Store Type
14.6.6.2.1. Online
14.6.6.2.2. Offline
14.6.6.2.2.1. Departmental Stores
14.6.6.2.2.2. Discount Stores
14.6.6.2.2.3. Supermarket
14.6.6.2.2.4. Warehouse Stores
14.6.6.2.2.5. Specialty Stores
14.6.6.2.2.6. Others
14.6.6.3. South
Korea Retail Intelligence Market Revenue
(US$ Mn) and Forecasts, By Organization Size
14.6.6.3.1. Small and
Medium Enterprises
14.6.6.3.2. Large
Enterprises
14.6.6.4. South
Korea Retail Intelligence Market Revenue
(US$ Mn) and Forecasts, By Offering
14.6.6.4.1. Hardware
14.6.6.4.2. Software
14.6.6.4.2.1. On Premise
14.6.6.4.2.2. Cloud
14.6.6.4.3. Services
14.6.7. Southeast Asia
14.6.7.1. Southeast
Asia Retail Intelligence Market Revenue
(US$ Mn) and Forecasts, By Application
14.6.7.1.1. Product
Tagging and Recognition
14.6.7.1.2. Assortment
Intelligence
14.6.7.1.3. Pricing
Intelligence
14.6.7.1.4. Competitor
Intelligence
14.6.7.1.5. In-Store
Analytics
14.6.7.1.6. Others
14.6.7.2. Southeast
Asia Retail Intelligence Market Revenue
(US$ Mn) and Forecasts, By Store Type
14.6.7.2.1. Online
14.6.7.2.2. Offline
14.6.7.2.2.1. Departmental Stores
14.6.7.2.2.2. Discount Stores
14.6.7.2.2.3. Supermarket
14.6.7.2.2.4. Warehouse Stores
14.6.7.2.2.5. Specialty Stores
14.6.7.2.2.6. Others
14.6.7.3. Southeast
Asia Retail Intelligence Market Revenue
(US$ Mn) and Forecasts, By Organization Size
14.6.7.3.1. Small and
Medium Enterprises
14.6.7.3.2. Large
Enterprises
14.6.7.4. Southeast
Asia Retail Intelligence Market Revenue
(US$ Mn) and Forecasts, By Offering
14.6.7.4.1. Hardware
14.6.7.4.2. Software
14.6.7.4.2.1. On Premise
14.6.7.4.2.2. Cloud
14.6.7.4.3. Services
14.6.7.5. Southeast
Asia Retail Intelligence 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 Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Application
14.6.8.1.1. Product
Tagging and Recognition
14.6.8.1.2. Assortment
Intelligence
14.6.8.1.3. Pricing
Intelligence
14.6.8.1.4. Competitor
Intelligence
14.6.8.1.5. In-Store
Analytics
14.6.8.1.6. Others
14.6.8.2. Rest of
Asia Pacific Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Store Type
14.6.8.2.1. Online
14.6.8.2.2. Offline
14.6.8.2.2.1. Departmental Stores
14.6.8.2.2.2. Discount Stores
14.6.8.2.2.3. Supermarket
14.6.8.2.2.4. Warehouse Stores
14.6.8.2.2.5. Specialty Stores
14.6.8.2.2.6. Others
14.6.8.3. Rest of
Asia Pacific Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Organization Size
14.6.8.3.1. Small and
Medium Enterprises
14.6.8.3.2. Large
Enterprises
14.6.8.4. Rest of
Asia Pacific Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Offering
14.6.8.4.1. Hardware
14.6.8.4.2. Software
14.6.8.4.2.1. On Premise
14.6.8.4.2.2. Cloud
14.6.8.4.3. Services
14.7. Key Segment for
Channeling Investments
14.7.1. By Country
14.7.2. By Application
14.7.3. By Store Type
14.7.4. By Organization Size
14.7.5. By Offering
15. Middle East and Africa Retail
Intelligence Market Analysis and
Forecasts, 2019 - 2027
15.1. Overview
15.1.1. Middle East and
Africa Retail Intelligence Market
Revenue (US$ Mn)
15.2. Middle East and
Africa Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Application
15.2.1. Product Tagging and
Recognition
15.2.2. Assortment
Intelligence
15.2.3. Pricing Intelligence
15.2.4. Competitor
Intelligence
15.2.5. In-Store Analytics
15.2.6. Others
15.3. Middle East and
Africa Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Store Type
15.3.1. Online
15.3.2. Offline
15.3.2.1. Departmental
Stores
15.3.2.2. Discount
Stores
15.3.2.3. Supermarket
15.3.2.4. Warehouse
Stores
15.3.2.5. Specialty
Stores
15.3.2.6. Others
15.4. Middle East and
Africa Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Organization Size
15.4.1. Small and Medium
Enterprises
15.4.2. Large Enterprises
15.5. Middle East and
Africa Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Offering
15.5.1. Hardware
15.5.2. Software
15.5.2.1. On
Premise
15.5.2.2. Cloud
15.5.3. Services
15.6. Middle East and
Africa Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Country
15.6.1. Saudi Arabia
15.6.1.1. Saudi
Arabia Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Application
15.6.1.1.1. Product
Tagging and Recognition
15.6.1.1.2. Assortment
Intelligence
15.6.1.1.3. Pricing
Intelligence
15.6.1.1.4. Competitor
Intelligence
15.6.1.1.5. In-Store
Analytics
15.6.1.1.6. Others
15.6.1.2. Saudi
Arabia Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Store Type
15.6.1.2.1. Online
15.6.1.2.2. Offline
15.6.1.2.2.1. Departmental Stores
15.6.1.2.2.2. Discount Stores
15.6.1.2.2.3. Supermarket
15.6.1.2.2.4. Warehouse Stores
15.6.1.2.2.5. Specialty Stores
15.6.1.2.2.6. Others
15.6.1.3. Saudi
Arabia Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Organization Size
15.6.1.3.1. Small and
Medium Enterprises
15.6.1.3.2. Large
Enterprises
15.6.1.4. Saudi
Arabia Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Offering
15.6.1.4.1. Hardware
15.6.1.4.2. Software
15.6.1.4.2.1. On Premise
15.6.1.4.2.2. Cloud
15.6.1.4.3. Services
15.6.2. UAE
15.6.2.1. UAE
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Application
15.6.2.1.1. Product
Tagging and Recognition
15.6.2.1.2. Assortment
Intelligence
15.6.2.1.3. Pricing
Intelligence
15.6.2.1.4. Competitor
Intelligence
15.6.2.1.5. In-Store
Analytics
15.6.2.1.6. Others
15.6.2.2. UAE
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Store Type
15.6.2.2.1. Online
15.6.2.2.2. Offline
15.6.2.2.2.1. Departmental Stores
15.6.2.2.2.2. Discount Stores
15.6.2.2.2.3. Supermarket
15.6.2.2.2.4. Warehouse Stores
15.6.2.2.2.5. Specialty Stores
15.6.2.2.2.6. Others
15.6.2.3. UAE
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Organization Size
15.6.2.3.1. Small and
Medium Enterprises
15.6.2.3.2. Large
Enterprises
15.6.2.4. UAE
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Offering
15.6.2.4.1. Hardware
15.6.2.4.2. Software
15.6.2.4.2.1. On Premise
15.6.2.4.2.2. Cloud
15.6.2.4.3. Services
15.6.3. Egypt
15.6.3.1. Egypt
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Application
15.6.3.1.1. Product
Tagging and Recognition
15.6.3.1.2. Assortment
Intelligence
15.6.3.1.3. Pricing
Intelligence
15.6.3.1.4. Competitor
Intelligence
15.6.3.1.5. In-Store
Analytics
15.6.3.1.6. Others
15.6.3.2. Egypt
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Store Type
15.6.3.2.1. Online
15.6.3.2.2. Offline
15.6.3.2.2.1. Departmental Stores
15.6.3.2.2.2. Discount Stores
15.6.3.2.2.3. Supermarket
15.6.3.2.2.4. Warehouse Stores
15.6.3.2.2.5. Specialty Stores
15.6.3.2.2.6. Others
15.6.3.3. Egypt
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Organization Size
15.6.3.3.1. Small and
Medium Enterprises
15.6.3.3.2. Large
Enterprises
15.6.3.4. Egypt
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Offering
15.6.3.4.1. Hardware
15.6.3.4.2. Software
15.6.3.4.2.1. On Premise
15.6.3.4.2.2. Cloud
15.6.3.4.3. Services
15.6.4. Kuwait
15.6.4.1. Kuwait
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Application
15.6.4.1.1. Product
Tagging and Recognition
15.6.4.1.2. Assortment
Intelligence
15.6.4.1.3. Pricing
Intelligence
15.6.4.1.4. Competitor
Intelligence
15.6.4.1.5. In-Store
Analytics
15.6.4.1.6. Others
15.6.4.2. Kuwait
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Store Type
15.6.4.2.1. Online
15.6.4.2.2. Offline
15.6.4.2.2.1. Departmental Stores
15.6.4.2.2.2. Discount Stores
15.6.4.2.2.3. Supermarket
15.6.4.2.2.4. Warehouse Stores
15.6.4.2.2.5. Specialty Stores
15.6.4.2.2.6. Others
15.6.4.3. Kuwait
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Organization Size
15.6.4.3.1. Small and
Medium Enterprises
15.6.4.3.2. Large
Enterprises
15.6.4.4. Kuwait
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Offering
15.6.4.4.1. Hardware
15.6.4.4.2. Software
15.6.4.4.2.1. On Premise
15.6.4.4.2.2. Cloud
15.6.4.4.3. Services
15.6.5. South Africa
15.6.5.1. South
Africa Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Application
15.6.5.1.1. Product
Tagging and Recognition
15.6.5.1.2. Assortment
Intelligence
15.6.5.1.3. Pricing
Intelligence
15.6.5.1.4. Competitor
Intelligence
15.6.5.1.5. In-Store
Analytics
15.6.5.1.6. Others
15.6.5.2. South
Africa Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Store Type
15.6.5.2.1. Online
15.6.5.2.2. Offline
15.6.5.2.2.1. Departmental Stores
15.6.5.2.2.2. Discount Stores
15.6.5.2.2.3. Supermarket
15.6.5.2.2.4. Warehouse Stores
15.6.5.2.2.5. Specialty Stores
15.6.5.2.2.6. Others
15.6.5.3. South
Africa Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Organization Size
15.6.5.3.1. Small and
Medium Enterprises
15.6.5.3.2. Large
Enterprises
15.6.5.4. South
Africa Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Offering
15.6.5.4.1. Hardware
15.6.5.4.2. Software
15.6.5.4.2.1. On Premise
15.6.5.4.2.2. Cloud
15.6.5.4.3. Services
15.6.6. Rest of Middle East
& Africa
15.6.6.1. Rest of
Middle East & Africa Retail Intelligence
Market Revenue (US$ Mn) and Forecasts, By Application
15.6.6.1.1. Product
Tagging and Recognition
15.6.6.1.2. Assortment
Intelligence
15.6.6.1.3. Pricing
Intelligence
15.6.6.1.4. Competitor
Intelligence
15.6.6.1.5. In-Store
Analytics
15.6.6.1.6. Others
15.6.6.2. Rest of
Middle East & Africa Retail Intelligence
Market Revenue (US$ Mn) and Forecasts, By Store Type
15.6.6.2.1. Online
15.6.6.2.2. Offline
15.6.6.2.2.1. Departmental Stores
15.6.6.2.2.2. Discount Stores
15.6.6.2.2.3. Supermarket
15.6.6.2.2.4. Warehouse Stores
15.6.6.2.2.5. Specialty Stores
15.6.6.2.2.6. Others
15.6.6.3. Rest of
Middle East & Africa Retail Intelligence
Market Revenue (US$ Mn) and Forecasts, By Organization Size
15.6.6.3.1. Small and
Medium Enterprises
15.6.6.3.2. Large
Enterprises
15.6.6.4. Rest of
Middle East & Africa Retail Intelligence
Market Revenue (US$ Mn) and Forecasts, By Offering
15.6.6.4.1. Hardware
15.6.6.4.2. Software
15.6.6.4.2.1. On Premise
15.6.6.4.2.2. Cloud
15.6.6.4.3. Services
15.7. Key Segment for
Channeling Investments
15.7.1. By Country
15.7.2. By Application
15.7.3. By Store Type
15.7.4. By Organization Size
15.7.5. By Offering
16. Latin America Retail Intelligence Market Analysis and Forecasts, 2019 - 2027
16.1. Overview
16.1.1. Latin America Retail
Intelligence Market Revenue (US$ Mn)
16.2. Latin America Retail
Intelligence Market Revenue (US$ Mn) and
Forecasts, By Application
16.2.1. Product Tagging and
Recognition
16.2.2. Assortment
Intelligence
16.2.3. Pricing Intelligence
16.2.4. Competitor
Intelligence
16.2.5. In-Store Analytics
16.2.6. Others
16.3. Latin America Retail
Intelligence Market Revenue (US$ Mn) and
Forecasts, By Store Type
16.3.1. Online
16.3.2. Offline
16.3.2.1. Departmental
Stores
16.3.2.2. Discount
Stores
16.3.2.3. Supermarket
16.3.2.4. Warehouse
Stores
16.3.2.5. Specialty
Stores
16.3.2.6. Others
16.4. Latin America Retail
Intelligence Market Revenue (US$ Mn) and
Forecasts, By Organization Size
16.4.1. Small and Medium
Enterprises
16.4.2. Large Enterprises
16.5. Latin America Retail
Intelligence Market Revenue (US$ Mn) and
Forecasts, By Offering
16.5.1. Hardware
16.5.2. Software
16.5.2.1. On
Premise
16.5.2.2. Cloud
16.5.3. Services
16.6. Latin America Retail
Intelligence Market Revenue (US$ Mn) and
Forecasts, By Country
16.6.1. Brazil
16.6.1.1. Brazil
Retail Intelligence Market Revenue (US$ Mn)
and Forecasts, By Application
16.6.1.1.1. Product
Tagging and Recognition
16.6.1.1.2. Assortment
Intelligence
16.6.1.1.3. Pricing
Intelligence
16.6.1.1.4. Competitor
Intelligence
16.6.1.1.5. In-Store
Analytics
16.6.1.1.6. Others
16.6.1.2. Brazil
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Store Type
16.6.1.2.1. Online
16.6.1.2.2. Offline
16.6.1.2.2.1. Departmental Stores
16.6.1.2.2.2. Discount Stores
16.6.1.2.2.3. Supermarket
16.6.1.2.2.4. Warehouse Stores
16.6.1.2.2.5. Specialty Stores
16.6.1.2.2.6. Others
16.6.1.3. Brazil
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Organization Size
16.6.1.3.1. Small and
Medium Enterprises
16.6.1.3.2. Large
Enterprises
16.6.1.4. Brazil
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Offering
16.6.1.4.1. Hardware
16.6.1.4.2. Software
16.6.1.4.2.1. On Premise
16.6.1.4.2.2. Cloud
16.6.1.4.3. Services
16.6.2. Argentina
16.6.2.1. Argentina
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Application
16.6.2.1.1. Product
Tagging and Recognition
16.6.2.1.2. Assortment
Intelligence
16.6.2.1.3. Pricing Intelligence
16.6.2.1.4. Competitor
Intelligence
16.6.2.1.5. In-Store
Analytics
16.6.2.1.6. Others
16.6.2.2. Argentina
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Store Type
16.6.2.2.1. Online
16.6.2.2.2. Offline
16.6.2.2.2.1. Departmental Stores
16.6.2.2.2.2. Discount Stores
16.6.2.2.2.3. Supermarket
16.6.2.2.2.4. Warehouse Stores
16.6.2.2.2.5. Specialty Stores
16.6.2.2.2.6. Others
16.6.2.3. Argentina
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Organization Size
16.6.2.3.1. Small and
Medium Enterprises
16.6.2.3.2. Large
Enterprises
16.6.2.4. Argentina
Retail Intelligence Market Revenue (US$
Mn) and Forecasts, By Offering
16.6.2.4.1. Hardware
16.6.2.4.2. Software
16.6.2.4.2.1. On Premise
16.6.2.4.2.2. Cloud
16.6.2.4.3. Services
16.6.3. Rest of Latin
America
16.6.3.1. Rest of
Latin America Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Application
16.6.3.1.1. Product
Tagging and Recognition
16.6.3.1.2. Assortment
Intelligence
16.6.3.1.3. Pricing
Intelligence
16.6.3.1.4. Competitor
Intelligence
16.6.3.1.5. In-Store
Analytics
16.6.3.1.6. Others
16.6.3.2. Rest of
Latin America Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Store Type
16.6.3.2.1. Online
16.6.3.2.2. Offline
16.6.3.2.2.1. Departmental Stores
16.6.3.2.2.2. Discount Stores
16.6.3.2.2.3. Supermarket
16.6.3.2.2.4. Warehouse Stores
16.6.3.2.2.5. Specialty Stores
16.6.3.2.2.6. Others
16.6.3.3. Rest of
Latin America Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Organization Size
16.6.3.3.1. Small and
Medium Enterprises
16.6.3.3.2. Large
Enterprises
16.6.3.4. Rest of
Latin America Retail Intelligence Market
Revenue (US$ Mn) and Forecasts, By Offering
16.6.3.4.1. Hardware
16.6.3.4.2. Software
16.6.3.4.2.1. On Premise
16.6.3.4.2.2. Cloud
16.6.3.4.3. Services
16.7. Key Segment for Channeling
Investments
16.7.1. By Country
16.7.2. By Application
16.7.3. By Store Type
16.7.4. By Organization Size
16.7.5. By Offering
17. Competitive Benchmarking
17.1. Brand Benchmarking
17.2. Market Share
Analysis, 2018
17.3. Global Presence and
Growth Strategies
17.3.1. Mergers and
Acquisitions
17.3.2. Product Launches
17.3.3. Investments Trends
17.3.4. R&D Initiatives
18. Player Profiles
18.1. ARpalus
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. Badger Technologies,
LLC.
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. BeMyEye Holdings Ltd
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. Bossa Nova Robotics
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. Focal Systems 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. Inspector Cloud
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. Lakeba Corporation
Pty Ltd (Shelfie Pty Ltd)
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. Market6, Inc.
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. MaxerienceElectrosystems
Pvt Ltd.
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. Pensa Systems, 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. Retail Solutions
Inc.
18.11.1. Company Details
18.11.2. Company Overview
18.11.3. Product Offerings
18.11.4. Key Developments
18.11.5. Financial Analysis
18.11.6. SWOT Analysis
18.11.7. Business Strategies
18.12. ReTech Labs, Inc.
18.12.1. Company Details
18.12.2. Company Overview
18.12.3. Product Offerings
18.12.4. Key Developments
18.12.5. Financial Analysis
18.12.6. SWOT Analysis
18.12.7. Business Strategies
18.13. Shelfwatch
18.13.1. Company Details
18.13.2. Company Overview
18.13.3. Product Offerings
18.13.4. Key Developments
18.13.5. Financial Analysis
18.13.6. SWOT Analysis
18.13.7. Business Strategies
18.14. Simbe Robotics, Inc.
18.14.1. Company Details
18.14.2. Company Overview
18.14.3. Product Offerings
18.14.4. Key Developments
18.14.5. Financial Analysis
18.14.6. SWOT Analysis
18.14.7. Business Strategies
18.15. Trax Technology
Solutions Pte Ltd.
18.15.1. Company Details
18.15.2. Company Overview
18.15.3. Product Offerings
18.15.4. Key Developments
18.15.5. Financial Analysis
18.15.6. SWOT Analysis
18.15.7. Business Strategies
18.16. Vispera Information
Technologies
18.16.1. Company Details
18.16.2. Company Overview
18.16.3. Product Offerings
18.16.4. Key Developments
18.16.5. Financial Analysis
18.16.6. SWOT Analysis
18.16.7. Business Strategies
18.17. Zippedi
18.17.1. Company Details
18.17.2. Company Overview
18.17.3. Product Offerings
18.17.4. Key Developments
18.17.5. Financial Analysis
18.17.6. SWOT Analysis
18.17.7. Business Strategies
18.18. 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
