Global Retail Intelligence Market

Retail Intelligence Comprehensive Study by Type (Promotional Insights, Geo Marketing, Retail Analytics, Pricing Intelligence, Competitive Intelligence, Assortment Intelligence, Category Management, Other products), Distribution Channel (Offline, Online), End User (Grocery Stores, Convenience Stores, Apparel & Footwear, Mass Merchant, Specialty Retailers, E-Commerce, Automotive, Computer Electronics, Other End Users) Players and Region - Global Market Outlook to 2028

Retail Intelligence Market by XX Submarkets | Forecast Years 2023-2028  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Retail Intelligence Market Scope
The ability to optimize servicing business processes while meeting consumer needs has never been more critical as the retail industry becomes highly competitive. As a result, controlling and channeling data to work for consumer delight while still generating healthy revenues is critical in order to thrive. A number of major retailers Data, or rather big data analytics, is now being used at every stage of the retail process, including monitoring new popular products, predicting sales and potential demand through predictive simulation, optimizing product placements, and many other applications using Retail Intelligence

AttributesDetails
Study Period2018-2028
Base Year2022
UnitValue (USD Million)
Key Companies ProfiledInformation Builders (United States), 1010Data (United States), Capillary Technologies (India), RetailNext Inc (United States), WNS Global Services (India), True Fit Corporation (United States), Vend (New Zealand), Fit Analytics (Germany), EDITED (England) and Decision6 (Brazil)
CAGR%


Retail Intelligence market is characterised by higher degree of competition, key players are in search for enhanced capabilities in order have An edge in the tense competition to cater to changing consumer taste & preferences, the motive to which is cost-efficiency & accuracy. Since global pandemic has disrupted the market, firms are considering mergers & acquisitions to ensure their presence across regions thereby hedging against the risk of market shocks. Research Analyst at AMA estimates that United States Players will contribute to the maximum growth of Global Retail Intelligence market throughout the predicted period.

Information Builders (United States), 1010Data (United States), Capillary Technologies (India), RetailNext Inc (United States), WNS Global Services (India), True Fit Corporation (United States), Vend (New Zealand), Fit Analytics (Germany), EDITED (England) and Decision6 (Brazil) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research are Cubelizer (Spain), Thinkinside (Italy), Dor Technologies (United States), Orenda Software Solutions (Canada) and Wiser Solutions (United States).

About Approach
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from the total available market.

Segmentation Overview
The study have segmented the market of Global Retail Intelligence market by Type and Region with country level break-up.

On the basis of geography, the market of Retail Intelligence has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). region held largest market share in the year 2022.

Market Leaders and their expansionary development strategies

On 10th April, 2019 – Shopin Launched Retail Intelligence Data Engine (R.I.D.E.), that creates Amazon Like Data Insights Available to its users, it is a patent-protected Artificial Intelligence (AI) Powered Engine., On 12th August, 2020 – EDITED (A retail market intelligence firm) launched its mobile app that will enable its user to Better Monitor and Respond to the changing market Dynamics. and On 19th January, 2021 - Google launched AI-powered solutions for retailers, this will enable retailers to Deliver Customized & Personalized service to its Customers.


Influencing Trend:
Partnership and collaboration are shaping across different regions. and Integration of Data Analytics Tools across different Business Verticals.

Market Growth Drivers:
Greater computing power and readily available predictive algorithms, enables to build more complex Data Analytics solutions. and Retailers can improve their profits and margins by using predictive analytics tools to optimise real-time pricing and product assortment.

Challenges:
To bridge the wide gap between Data Analytics and business arena. and Implementation of Retail Intelligence across small Retail units would be Frictional.

Restraints:
Market shocks such as Climate change and COVID, these Slow Down the Growth in Retail & IT sector. and Lack of Skilled Personnel.

Opportunities:
New technology elements like Big Data and AI promote the growing usage of Data analytics in Retail industry., Raw data for new generation is readily available online which can be then analysed to deliver precise insights regarding consumer behaviour. and Data Analytics is already used by Ecommerce giants, Integrating Data Analytics to Retail Industry will bring Retail Business at par to Ecommerce.

Key Target Audience
New Entrants & Investors, Analysts and Strategic Business Planners, Analytical software providers, Venture Capitalists, Government bodies, Research and educational institutions and End Use Industries

Report Objectives / Segmentation Covered

By Type
  • Promotional Insights
  • Geo Marketing
  • Retail Analytics
  • Pricing Intelligence
  • Competitive Intelligence
  • Assortment Intelligence
  • Category Management
  • Other products
By Distribution Channel
  • Offline
  • Online

By End User
  • Grocery Stores
  • Convenience Stores
  • Apparel & Footwear
  • Mass Merchant
  • Specialty Retailers
  • E-Commerce
  • Automotive
  • Computer Electronics
  • Other End Users

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Greater computing power and readily available predictive algorithms, enables to build more complex Data Analytics solutions.
      • 3.2.2. Retailers can improve their profits and margins by using predictive analytics tools to optimise real-time pricing and product assortment.
    • 3.3. Market Challenges
      • 3.3.1. To bridge the wide gap between Data Analytics and business arena.
      • 3.3.2. Implementation of Retail Intelligence across small Retail units would be Frictional.
    • 3.4. Market Trends
      • 3.4.1. Partnership and collaboration are shaping across different regions.
      • 3.4.2. Integration of Data Analytics Tools across different Business Verticals.
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Retail Intelligence, by Type, Distribution Channel, End User and Region (value) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Retail Intelligence (Value)
      • 5.2.1. Global Retail Intelligence by: Type (Value)
        • 5.2.1.1. Promotional Insights
        • 5.2.1.2. Geo Marketing
        • 5.2.1.3. Retail Analytics
        • 5.2.1.4. Pricing Intelligence
        • 5.2.1.5. Competitive Intelligence
        • 5.2.1.6. Assortment Intelligence
        • 5.2.1.7. Category Management
        • 5.2.1.8. Other products
      • 5.2.2. Global Retail Intelligence by: Distribution Channel (Value)
        • 5.2.2.1. Offline
        • 5.2.2.2. Online
      • 5.2.3. Global Retail Intelligence by: End User (Value)
        • 5.2.3.1. Grocery Stores
        • 5.2.3.2. Convenience Stores
        • 5.2.3.3. Apparel & Footwear
        • 5.2.3.4. Mass Merchant
        • 5.2.3.5. Specialty Retailers
        • 5.2.3.6. E-Commerce
        • 5.2.3.7. Automotive
        • 5.2.3.8. Computer Electronics
        • 5.2.3.9. Other End Users
      • 5.2.4. Global Retail Intelligence Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Taiwan
          • 5.2.4.2.6. Australia
          • 5.2.4.2.7. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. United Kingdom
          • 5.2.4.3.5. Netherlands
          • 5.2.4.3.6. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. Mexico
  • 6. Retail Intelligence: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2022)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Information Builders (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. 1010Data (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Capillary Technologies (India)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. RetailNext Inc (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. WNS Global Services (India)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. True Fit Corporation (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Vend (New Zealand)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Fit Analytics (Germany)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. EDITED (England)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Decision6 (Brazil)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Retail Intelligence Sale, by Type, Distribution Channel, End User and Region (value) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Retail Intelligence (Value)
      • 7.2.1. Global Retail Intelligence by: Type (Value)
        • 7.2.1.1. Promotional Insights
        • 7.2.1.2. Geo Marketing
        • 7.2.1.3. Retail Analytics
        • 7.2.1.4. Pricing Intelligence
        • 7.2.1.5. Competitive Intelligence
        • 7.2.1.6. Assortment Intelligence
        • 7.2.1.7. Category Management
        • 7.2.1.8. Other products
      • 7.2.2. Global Retail Intelligence by: Distribution Channel (Value)
        • 7.2.2.1. Offline
        • 7.2.2.2. Online
      • 7.2.3. Global Retail Intelligence by: End User (Value)
        • 7.2.3.1. Grocery Stores
        • 7.2.3.2. Convenience Stores
        • 7.2.3.3. Apparel & Footwear
        • 7.2.3.4. Mass Merchant
        • 7.2.3.5. Specialty Retailers
        • 7.2.3.6. E-Commerce
        • 7.2.3.7. Automotive
        • 7.2.3.8. Computer Electronics
        • 7.2.3.9. Other End Users
      • 7.2.4. Global Retail Intelligence Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Taiwan
          • 7.2.4.2.6. Australia
          • 7.2.4.2.7. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. United Kingdom
          • 7.2.4.3.5. Netherlands
          • 7.2.4.3.6. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Retail Intelligence: by Type(USD Million)
  • Table 2. Retail Intelligence Promotional Insights , by Region USD Million (2017-2022)
  • Table 3. Retail Intelligence Geo Marketing , by Region USD Million (2017-2022)
  • Table 4. Retail Intelligence Retail Analytics , by Region USD Million (2017-2022)
  • Table 5. Retail Intelligence Pricing Intelligence , by Region USD Million (2017-2022)
  • Table 6. Retail Intelligence Competitive Intelligence , by Region USD Million (2017-2022)
  • Table 7. Retail Intelligence Assortment Intelligence , by Region USD Million (2017-2022)
  • Table 8. Retail Intelligence Category Management , by Region USD Million (2017-2022)
  • Table 9. Retail Intelligence Other products , by Region USD Million (2017-2022)
  • Table 10. Retail Intelligence: by Distribution Channel(USD Million)
  • Table 11. Retail Intelligence Offline , by Region USD Million (2017-2022)
  • Table 12. Retail Intelligence Online , by Region USD Million (2017-2022)
  • Table 13. Retail Intelligence: by End User(USD Million)
  • Table 14. Retail Intelligence Grocery Stores , by Region USD Million (2017-2022)
  • Table 15. Retail Intelligence Convenience Stores , by Region USD Million (2017-2022)
  • Table 16. Retail Intelligence Apparel & Footwear , by Region USD Million (2017-2022)
  • Table 17. Retail Intelligence Mass Merchant , by Region USD Million (2017-2022)
  • Table 18. Retail Intelligence Specialty Retailers , by Region USD Million (2017-2022)
  • Table 19. Retail Intelligence E-Commerce , by Region USD Million (2017-2022)
  • Table 20. Retail Intelligence Automotive , by Region USD Million (2017-2022)
  • Table 21. Retail Intelligence Computer Electronics , by Region USD Million (2017-2022)
  • Table 22. Retail Intelligence Other End Users , by Region USD Million (2017-2022)
  • Table 23. South America Retail Intelligence, by Country USD Million (2017-2022)
  • Table 24. South America Retail Intelligence, by Type USD Million (2017-2022)
  • Table 25. South America Retail Intelligence, by Distribution Channel USD Million (2017-2022)
  • Table 26. South America Retail Intelligence, by End User USD Million (2017-2022)
  • Table 27. Brazil Retail Intelligence, by Type USD Million (2017-2022)
  • Table 28. Brazil Retail Intelligence, by Distribution Channel USD Million (2017-2022)
  • Table 29. Brazil Retail Intelligence, by End User USD Million (2017-2022)
  • Table 30. Argentina Retail Intelligence, by Type USD Million (2017-2022)
  • Table 31. Argentina Retail Intelligence, by Distribution Channel USD Million (2017-2022)
  • Table 32. Argentina Retail Intelligence, by End User USD Million (2017-2022)
  • Table 33. Rest of South America Retail Intelligence, by Type USD Million (2017-2022)
  • Table 34. Rest of South America Retail Intelligence, by Distribution Channel USD Million (2017-2022)
  • Table 35. Rest of South America Retail Intelligence, by End User USD Million (2017-2022)
  • Table 36. Asia Pacific Retail Intelligence, by Country USD Million (2017-2022)
  • Table 37. Asia Pacific Retail Intelligence, by Type USD Million (2017-2022)
  • Table 38. Asia Pacific Retail Intelligence, by Distribution Channel USD Million (2017-2022)
  • Table 39. Asia Pacific Retail Intelligence, by End User USD Million (2017-2022)
  • Table 40. China Retail Intelligence, by Type USD Million (2017-2022)
  • Table 41. China Retail Intelligence, by Distribution Channel USD Million (2017-2022)
  • Table 42. China Retail Intelligence, by End User USD Million (2017-2022)
  • Table 43. Japan Retail Intelligence, by Type USD Million (2017-2022)
  • Table 44. Japan Retail Intelligence, by Distribution Channel USD Million (2017-2022)
  • Table 45. Japan Retail Intelligence, by End User USD Million (2017-2022)
  • Table 46. India Retail Intelligence, by Type USD Million (2017-2022)
  • Table 47. India Retail Intelligence, by Distribution Channel USD Million (2017-2022)
  • Table 48. India Retail Intelligence, by End User USD Million (2017-2022)
  • Table 49. South Korea Retail Intelligence, by Type USD Million (2017-2022)
  • Table 50. South Korea Retail Intelligence, by Distribution Channel USD Million (2017-2022)
  • Table 51. South Korea Retail Intelligence, by End User USD Million (2017-2022)
  • Table 52. Taiwan Retail Intelligence, by Type USD Million (2017-2022)
  • Table 53. Taiwan Retail Intelligence, by Distribution Channel USD Million (2017-2022)
  • Table 54. Taiwan Retail Intelligence, by End User USD Million (2017-2022)
  • Table 55. Australia Retail Intelligence, by Type USD Million (2017-2022)
  • Table 56. Australia Retail Intelligence, by Distribution Channel USD Million (2017-2022)
  • Table 57. Australia Retail Intelligence, by End User USD Million (2017-2022)
  • Table 58. Rest of Asia-Pacific Retail Intelligence, by Type USD Million (2017-2022)
  • Table 59. Rest of Asia-Pacific Retail Intelligence, by Distribution Channel USD Million (2017-2022)
  • Table 60. Rest of Asia-Pacific Retail Intelligence, by End User USD Million (2017-2022)
  • Table 61. Europe Retail Intelligence, by Country USD Million (2017-2022)
  • Table 62. Europe Retail Intelligence, by Type USD Million (2017-2022)
  • Table 63. Europe Retail Intelligence, by Distribution Channel USD Million (2017-2022)
  • Table 64. Europe Retail Intelligence, by End User USD Million (2017-2022)
  • Table 65. Germany Retail Intelligence, by Type USD Million (2017-2022)
  • Table 66. Germany Retail Intelligence, by Distribution Channel USD Million (2017-2022)
  • Table 67. Germany Retail Intelligence, by End User USD Million (2017-2022)
  • Table 68. France Retail Intelligence, by Type USD Million (2017-2022)
  • Table 69. France Retail Intelligence, by Distribution Channel USD Million (2017-2022)
  • Table 70. France Retail Intelligence, by End User USD Million (2017-2022)
  • Table 71. Italy Retail Intelligence, by Type USD Million (2017-2022)
  • Table 72. Italy Retail Intelligence, by Distribution Channel USD Million (2017-2022)
  • Table 73. Italy Retail Intelligence, by End User USD Million (2017-2022)
  • Table 74. United Kingdom Retail Intelligence, by Type USD Million (2017-2022)
  • Table 75. United Kingdom Retail Intelligence, by Distribution Channel USD Million (2017-2022)
  • Table 76. United Kingdom Retail Intelligence, by End User USD Million (2017-2022)
  • Table 77. Netherlands Retail Intelligence, by Type USD Million (2017-2022)
  • Table 78. Netherlands Retail Intelligence, by Distribution Channel USD Million (2017-2022)
  • Table 79. Netherlands Retail Intelligence, by End User USD Million (2017-2022)
  • Table 80. Rest of Europe Retail Intelligence, by Type USD Million (2017-2022)
  • Table 81. Rest of Europe Retail Intelligence, by Distribution Channel USD Million (2017-2022)
  • Table 82. Rest of Europe Retail Intelligence, by End User USD Million (2017-2022)
  • Table 83. MEA Retail Intelligence, by Country USD Million (2017-2022)
  • Table 84. MEA Retail Intelligence, by Type USD Million (2017-2022)
  • Table 85. MEA Retail Intelligence, by Distribution Channel USD Million (2017-2022)
  • Table 86. MEA Retail Intelligence, by End User USD Million (2017-2022)
  • Table 87. Middle East Retail Intelligence, by Type USD Million (2017-2022)
  • Table 88. Middle East Retail Intelligence, by Distribution Channel USD Million (2017-2022)
  • Table 89. Middle East Retail Intelligence, by End User USD Million (2017-2022)
  • Table 90. Africa Retail Intelligence, by Type USD Million (2017-2022)
  • Table 91. Africa Retail Intelligence, by Distribution Channel USD Million (2017-2022)
  • Table 92. Africa Retail Intelligence, by End User USD Million (2017-2022)
  • Table 93. North America Retail Intelligence, by Country USD Million (2017-2022)
  • Table 94. North America Retail Intelligence, by Type USD Million (2017-2022)
  • Table 95. North America Retail Intelligence, by Distribution Channel USD Million (2017-2022)
  • Table 96. North America Retail Intelligence, by End User USD Million (2017-2022)
  • Table 97. United States Retail Intelligence, by Type USD Million (2017-2022)
  • Table 98. United States Retail Intelligence, by Distribution Channel USD Million (2017-2022)
  • Table 99. United States Retail Intelligence, by End User USD Million (2017-2022)
  • Table 100. Canada Retail Intelligence, by Type USD Million (2017-2022)
  • Table 101. Canada Retail Intelligence, by Distribution Channel USD Million (2017-2022)
  • Table 102. Canada Retail Intelligence, by End User USD Million (2017-2022)
  • Table 103. Mexico Retail Intelligence, by Type USD Million (2017-2022)
  • Table 104. Mexico Retail Intelligence, by Distribution Channel USD Million (2017-2022)
  • Table 105. Mexico Retail Intelligence, by End User USD Million (2017-2022)
  • Table 106. Company Basic Information, Sales Area and Its Competitors
  • Table 107. Company Basic Information, Sales Area and Its Competitors
  • Table 108. Company Basic Information, Sales Area and Its Competitors
  • Table 109. Company Basic Information, Sales Area and Its Competitors
  • Table 110. Company Basic Information, Sales Area and Its Competitors
  • Table 111. Company Basic Information, Sales Area and Its Competitors
  • Table 112. Company Basic Information, Sales Area and Its Competitors
  • Table 113. Company Basic Information, Sales Area and Its Competitors
  • Table 114. Company Basic Information, Sales Area and Its Competitors
  • Table 115. Company Basic Information, Sales Area and Its Competitors
  • Table 116. Retail Intelligence: by Type(USD Million)
  • Table 117. Retail Intelligence Promotional Insights , by Region USD Million (2023-2028)
  • Table 118. Retail Intelligence Geo Marketing , by Region USD Million (2023-2028)
  • Table 119. Retail Intelligence Retail Analytics , by Region USD Million (2023-2028)
  • Table 120. Retail Intelligence Pricing Intelligence , by Region USD Million (2023-2028)
  • Table 121. Retail Intelligence Competitive Intelligence , by Region USD Million (2023-2028)
  • Table 122. Retail Intelligence Assortment Intelligence , by Region USD Million (2023-2028)
  • Table 123. Retail Intelligence Category Management , by Region USD Million (2023-2028)
  • Table 124. Retail Intelligence Other products , by Region USD Million (2023-2028)
  • Table 125. Retail Intelligence: by Distribution Channel(USD Million)
  • Table 126. Retail Intelligence Offline , by Region USD Million (2023-2028)
  • Table 127. Retail Intelligence Online , by Region USD Million (2023-2028)
  • Table 128. Retail Intelligence: by End User(USD Million)
  • Table 129. Retail Intelligence Grocery Stores , by Region USD Million (2023-2028)
  • Table 130. Retail Intelligence Convenience Stores , by Region USD Million (2023-2028)
  • Table 131. Retail Intelligence Apparel & Footwear , by Region USD Million (2023-2028)
  • Table 132. Retail Intelligence Mass Merchant , by Region USD Million (2023-2028)
  • Table 133. Retail Intelligence Specialty Retailers , by Region USD Million (2023-2028)
  • Table 134. Retail Intelligence E-Commerce , by Region USD Million (2023-2028)
  • Table 135. Retail Intelligence Automotive , by Region USD Million (2023-2028)
  • Table 136. Retail Intelligence Computer Electronics , by Region USD Million (2023-2028)
  • Table 137. Retail Intelligence Other End Users , by Region USD Million (2023-2028)
  • Table 138. South America Retail Intelligence, by Country USD Million (2023-2028)
  • Table 139. South America Retail Intelligence, by Type USD Million (2023-2028)
  • Table 140. South America Retail Intelligence, by Distribution Channel USD Million (2023-2028)
  • Table 141. South America Retail Intelligence, by End User USD Million (2023-2028)
  • Table 142. Brazil Retail Intelligence, by Type USD Million (2023-2028)
  • Table 143. Brazil Retail Intelligence, by Distribution Channel USD Million (2023-2028)
  • Table 144. Brazil Retail Intelligence, by End User USD Million (2023-2028)
  • Table 145. Argentina Retail Intelligence, by Type USD Million (2023-2028)
  • Table 146. Argentina Retail Intelligence, by Distribution Channel USD Million (2023-2028)
  • Table 147. Argentina Retail Intelligence, by End User USD Million (2023-2028)
  • Table 148. Rest of South America Retail Intelligence, by Type USD Million (2023-2028)
  • Table 149. Rest of South America Retail Intelligence, by Distribution Channel USD Million (2023-2028)
  • Table 150. Rest of South America Retail Intelligence, by End User USD Million (2023-2028)
  • Table 151. Asia Pacific Retail Intelligence, by Country USD Million (2023-2028)
  • Table 152. Asia Pacific Retail Intelligence, by Type USD Million (2023-2028)
  • Table 153. Asia Pacific Retail Intelligence, by Distribution Channel USD Million (2023-2028)
  • Table 154. Asia Pacific Retail Intelligence, by End User USD Million (2023-2028)
  • Table 155. China Retail Intelligence, by Type USD Million (2023-2028)
  • Table 156. China Retail Intelligence, by Distribution Channel USD Million (2023-2028)
  • Table 157. China Retail Intelligence, by End User USD Million (2023-2028)
  • Table 158. Japan Retail Intelligence, by Type USD Million (2023-2028)
  • Table 159. Japan Retail Intelligence, by Distribution Channel USD Million (2023-2028)
  • Table 160. Japan Retail Intelligence, by End User USD Million (2023-2028)
  • Table 161. India Retail Intelligence, by Type USD Million (2023-2028)
  • Table 162. India Retail Intelligence, by Distribution Channel USD Million (2023-2028)
  • Table 163. India Retail Intelligence, by End User USD Million (2023-2028)
  • Table 164. South Korea Retail Intelligence, by Type USD Million (2023-2028)
  • Table 165. South Korea Retail Intelligence, by Distribution Channel USD Million (2023-2028)
  • Table 166. South Korea Retail Intelligence, by End User USD Million (2023-2028)
  • Table 167. Taiwan Retail Intelligence, by Type USD Million (2023-2028)
  • Table 168. Taiwan Retail Intelligence, by Distribution Channel USD Million (2023-2028)
  • Table 169. Taiwan Retail Intelligence, by End User USD Million (2023-2028)
  • Table 170. Australia Retail Intelligence, by Type USD Million (2023-2028)
  • Table 171. Australia Retail Intelligence, by Distribution Channel USD Million (2023-2028)
  • Table 172. Australia Retail Intelligence, by End User USD Million (2023-2028)
  • Table 173. Rest of Asia-Pacific Retail Intelligence, by Type USD Million (2023-2028)
  • Table 174. Rest of Asia-Pacific Retail Intelligence, by Distribution Channel USD Million (2023-2028)
  • Table 175. Rest of Asia-Pacific Retail Intelligence, by End User USD Million (2023-2028)
  • Table 176. Europe Retail Intelligence, by Country USD Million (2023-2028)
  • Table 177. Europe Retail Intelligence, by Type USD Million (2023-2028)
  • Table 178. Europe Retail Intelligence, by Distribution Channel USD Million (2023-2028)
  • Table 179. Europe Retail Intelligence, by End User USD Million (2023-2028)
  • Table 180. Germany Retail Intelligence, by Type USD Million (2023-2028)
  • Table 181. Germany Retail Intelligence, by Distribution Channel USD Million (2023-2028)
  • Table 182. Germany Retail Intelligence, by End User USD Million (2023-2028)
  • Table 183. France Retail Intelligence, by Type USD Million (2023-2028)
  • Table 184. France Retail Intelligence, by Distribution Channel USD Million (2023-2028)
  • Table 185. France Retail Intelligence, by End User USD Million (2023-2028)
  • Table 186. Italy Retail Intelligence, by Type USD Million (2023-2028)
  • Table 187. Italy Retail Intelligence, by Distribution Channel USD Million (2023-2028)
  • Table 188. Italy Retail Intelligence, by End User USD Million (2023-2028)
  • Table 189. United Kingdom Retail Intelligence, by Type USD Million (2023-2028)
  • Table 190. United Kingdom Retail Intelligence, by Distribution Channel USD Million (2023-2028)
  • Table 191. United Kingdom Retail Intelligence, by End User USD Million (2023-2028)
  • Table 192. Netherlands Retail Intelligence, by Type USD Million (2023-2028)
  • Table 193. Netherlands Retail Intelligence, by Distribution Channel USD Million (2023-2028)
  • Table 194. Netherlands Retail Intelligence, by End User USD Million (2023-2028)
  • Table 195. Rest of Europe Retail Intelligence, by Type USD Million (2023-2028)
  • Table 196. Rest of Europe Retail Intelligence, by Distribution Channel USD Million (2023-2028)
  • Table 197. Rest of Europe Retail Intelligence, by End User USD Million (2023-2028)
  • Table 198. MEA Retail Intelligence, by Country USD Million (2023-2028)
  • Table 199. MEA Retail Intelligence, by Type USD Million (2023-2028)
  • Table 200. MEA Retail Intelligence, by Distribution Channel USD Million (2023-2028)
  • Table 201. MEA Retail Intelligence, by End User USD Million (2023-2028)
  • Table 202. Middle East Retail Intelligence, by Type USD Million (2023-2028)
  • Table 203. Middle East Retail Intelligence, by Distribution Channel USD Million (2023-2028)
  • Table 204. Middle East Retail Intelligence, by End User USD Million (2023-2028)
  • Table 205. Africa Retail Intelligence, by Type USD Million (2023-2028)
  • Table 206. Africa Retail Intelligence, by Distribution Channel USD Million (2023-2028)
  • Table 207. Africa Retail Intelligence, by End User USD Million (2023-2028)
  • Table 208. North America Retail Intelligence, by Country USD Million (2023-2028)
  • Table 209. North America Retail Intelligence, by Type USD Million (2023-2028)
  • Table 210. North America Retail Intelligence, by Distribution Channel USD Million (2023-2028)
  • Table 211. North America Retail Intelligence, by End User USD Million (2023-2028)
  • Table 212. United States Retail Intelligence, by Type USD Million (2023-2028)
  • Table 213. United States Retail Intelligence, by Distribution Channel USD Million (2023-2028)
  • Table 214. United States Retail Intelligence, by End User USD Million (2023-2028)
  • Table 215. Canada Retail Intelligence, by Type USD Million (2023-2028)
  • Table 216. Canada Retail Intelligence, by Distribution Channel USD Million (2023-2028)
  • Table 217. Canada Retail Intelligence, by End User USD Million (2023-2028)
  • Table 218. Mexico Retail Intelligence, by Type USD Million (2023-2028)
  • Table 219. Mexico Retail Intelligence, by Distribution Channel USD Million (2023-2028)
  • Table 220. Mexico Retail Intelligence, by End User USD Million (2023-2028)
  • Table 221. Research Programs/Design for This Report
  • Table 222. Key Data Information from Secondary Sources
  • Table 223. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Retail Intelligence: by Type USD Million (2017-2022)
  • Figure 5. Global Retail Intelligence: by Distribution Channel USD Million (2017-2022)
  • Figure 6. Global Retail Intelligence: by End User USD Million (2017-2022)
  • Figure 7. South America Retail Intelligence Share (%), by Country
  • Figure 8. Asia Pacific Retail Intelligence Share (%), by Country
  • Figure 9. Europe Retail Intelligence Share (%), by Country
  • Figure 10. MEA Retail Intelligence Share (%), by Country
  • Figure 11. North America Retail Intelligence Share (%), by Country
  • Figure 12. Global Retail Intelligence share by Players 2022 (%)
  • Figure 13. Global Retail Intelligence share by Players (Top 3) 2022(%)
  • Figure 14. Global Retail Intelligence share by Players (Top 5) 2022(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. Information Builders (United States) Revenue, Net Income and Gross profit
  • Figure 17. Information Builders (United States) Revenue: by Geography 2022
  • Figure 18. 1010Data (United States) Revenue, Net Income and Gross profit
  • Figure 19. 1010Data (United States) Revenue: by Geography 2022
  • Figure 20. Capillary Technologies (India) Revenue, Net Income and Gross profit
  • Figure 21. Capillary Technologies (India) Revenue: by Geography 2022
  • Figure 22. RetailNext Inc (United States) Revenue, Net Income and Gross profit
  • Figure 23. RetailNext Inc (United States) Revenue: by Geography 2022
  • Figure 24. WNS Global Services (India) Revenue, Net Income and Gross profit
  • Figure 25. WNS Global Services (India) Revenue: by Geography 2022
  • Figure 26. True Fit Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 27. True Fit Corporation (United States) Revenue: by Geography 2022
  • Figure 28. Vend (New Zealand) Revenue, Net Income and Gross profit
  • Figure 29. Vend (New Zealand) Revenue: by Geography 2022
  • Figure 30. Fit Analytics (Germany) Revenue, Net Income and Gross profit
  • Figure 31. Fit Analytics (Germany) Revenue: by Geography 2022
  • Figure 32. EDITED (England) Revenue, Net Income and Gross profit
  • Figure 33. EDITED (England) Revenue: by Geography 2022
  • Figure 34. Decision6 (Brazil) Revenue, Net Income and Gross profit
  • Figure 35. Decision6 (Brazil) Revenue: by Geography 2022
  • Figure 36. Global Retail Intelligence: by Type USD Million (2023-2028)
  • Figure 37. Global Retail Intelligence: by Distribution Channel USD Million (2023-2028)
  • Figure 38. Global Retail Intelligence: by End User USD Million (2023-2028)
  • Figure 39. South America Retail Intelligence Share (%), by Country
  • Figure 40. Asia Pacific Retail Intelligence Share (%), by Country
  • Figure 41. Europe Retail Intelligence Share (%), by Country
  • Figure 42. MEA Retail Intelligence Share (%), by Country
  • Figure 43. North America Retail Intelligence Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Information Builders (United States)
  • 1010Data (United States)
  • Capillary Technologies (India)
  • RetailNext Inc (United States)
  • WNS Global Services (India)
  • True Fit Corporation (United States)
  • Vend (New Zealand)
  • Fit Analytics (Germany)
  • EDITED (England)
  • Decision6 (Brazil)
Additional players considered in the study are as follows:
Cubelizer (Spain) , Thinkinside (Italy) , Dor Technologies (United States) , Orenda Software Solutions (Canada) , Wiser Solutions (United States)
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Key Highlights of Report


Apr 2023 222 Pages 85 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Frequently Asked Questions (FAQ):

The key segments that are playing vital role in Retail Intelligence Market are by type [Promotional Insights, Geo Marketing, Retail Analytics, Pricing Intelligence, Competitive Intelligence, Assortment Intelligence, Category Management and Other products], by end use application [].
The Retail Intelligence Market is gaining popularity and expected to see strong valuation by 2028.
  • Greater computing power and readily available predictive algorithms, enables to build more complex Data Analytics solutions.
  • Retailers can improve their profits and margins by using predictive analytics tools to optimise real-time pricing and product assortment.

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