Global Customer Analytics in E-commerce Market

Customer Analytics in E-commerce Comprehensive Study by Application (Merchandising analysis, Pricing analysis, Promotional analysis and planning, Yield analysis, Inventory analysis, Others), Organization Size (Large Enterprises, Small and Medium-Sized Enterprises (SMEs)), Offline Online (Web, Social Media, Smartphone, Email, Store, Call Center, Others), Components (Solutions, Services) Players and Region - Global Market Outlook to 2030

Customer Analytics in E-commerce Market by XX Submarkets | Forecast Years 2024-2030 | CAGR: 15%  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
What is Customer Analytics in E-commerce Market Scope?
Customer analytics refers to the processes and technologies that give data and information surrounding customer behaviour to make business decisions and it usually involves techniques that include predictive modelling, data visualization, and information management. E-commerce industries generally offer services to the consumer for the buying and selling of goods or services using the internet, and the transfer of money and data to execute these transactions. Ecommerce Uses Customer analytics information and gathers data from all areas that have an impact on the online store and uses this information to understand the trends and the shift in consumers' behaviour to make data-driven decisions that will drive more online sales.

Influencing Trend:
Rising adoption of disruptive technologies, technologies such as AI, ML, and business process automation to streamline marketing operations

Market Growth Drivers:
Digitalizing to enhance customer experience and E-commerce operations, The growing number of smartphones, and increasing use of m-commerce and Increasing demand to understand customer buying behaviour for a more personalized customer experience

Challenges:
Organizational failures pertaining to optimum use of customer data

Restraints:
Legal concerns and data privacy issues

Opportunities:
Emerging demand from the developing regions and The fastest-growing market for E-commerce

The Customer Analytics in E-commerce market study is being classified, by Application and major geographies with country level break-up.

The companies are exploring the market by adopting mergers & acquisitions expansions investments new service launches and collaborations as their preferred strategies. The players are exploring new geographies through expansions and acquisitions to avail a competitive advantage through combined synergies. Analysts at AMA predicts that Players from United States will contribute to the maximum growth of Global Customer Analytics in E-commerce market throughout the predicted period.

Microsoft (United States), IBM (United States), Oracle (United States), Google (United States), Salesforce (United States), SAP (Germany), AWS (United States), Teradata (United States), SAS Institute (United States), Fujitsu (Japan) and Capillary (Singapore) are some of the key players profiled in the study. Additionally, the Players which are also part of the research are FLIR Systems (United States), Information Builders (United States) and 1010Data (United States).

Segmentation Analysis
Analyst at AMA have segmented the market study of Global Customer Analytics in E-commerce market by Type, Application and Region.

On the basis of geography, the market of Customer Analytics in E-commerce 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).

Market Influencers and their Development Strategies
In July 2023, Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), today at AWS Summit New York announced the general availability of AWS Entity Resolution, an analytics service powered by machine learning (ML) that helps organizations easily analyze, match, and link related records stored across applications, channels, and data stores. AWS Entity Resolution uses customizable workflows that leverage rule-based and ML techniques to join related consumer, business, and product information.
In August 2023, Emplifi, has launched of Unified Analytics, an integrated solution that aggregates, analyses, and presents customer data in an easily digestible format. As an integral component of Emplifi’s Customer Engagement platform, Unified Analytics provides deep business insights that can vastly improve the customer experience by bringing together social media data, customer service and care case management data, Voice of Customer (VoC) insights, and influencer marketing analytics.


Key Target Audience
New Entrants/Investors, Analysts and Strategic Business Planners, Customer Analytics in E-commerce Providers, Dealers Suppliers Traders and Distributors, Government Regulatory and Research Organizations and End-Use Industry

Customer Analytics in E-commerce Market Study: Important Years
AttributesDetails
Study Period2018-2030
Base Year2023
Forecast Period2024-2030
Historical Period2018-2023
UnitValue (USD Million)
Customization ScopeAvail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility


Major Highlights of Market Study

Demand Determinants: Identifying top-notch application and business segments that seek high growth potentials in Customer Analytics in E-commerce Market.

Key Strategic Developments: To target untapped regions more aggressively by focusing on product/service developments, innovation and R & D, new launches, Merger & acquisitions, JVs & partnerships.

Forces & Market Dynamics: Growth drivers, restraints & opportunities available in Customer Analytics in E-commerce industry is examined with reference relevant market sectors and sub-sectors.

Customization available in this Study:
The Study can be customized to meet your requirements. Please connect with our representative, who will ensure you get a report that suits your needs.

To compete effectively, companies also require quantitative estimates of the future growth and qualitative nature of the market. AMA Research features not just specific market sizing estimates, but also includes significant value-added commentary on Technological Trends and Innovations, Regulatory Policies, Market Maturity Indicators, Market Share Movements, New Entrants into the Market & Entry/Exit Barriers, Consumer Demographics, Supporting Company Financial and Cash Flow Planning, Open Up New Markets, To Seize Powerful Market Opportunities, Key Decision in Planning and to Further Expand Market Share, Identify Key Business Segments, Market Proposition & Gap Analysis.

Report Objectives / Segmentation Covered

By Application
  • Merchandising analysis
  • Pricing analysis
  • Promotional analysis and planning
  • Yield analysis
  • Inventory analysis
  • Others
By Organization Size
  • Large Enterprises
  • Small and Medium-Sized Enterprises (SMEs)

By Offline Online
  • Web
  • Social Media
  • Smartphone
  • Email
  • Store
  • Call Center
  • Others

By Components
  • Solutions
  • Services

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. Digitalizing to enhance customer experience and E-commerce operations
      • 3.2.2. The growing number of smartphones, and increasing use of m-commerce
      • 3.2.3. Increasing demand to understand customer buying behaviour for a more personalized customer experience
    • 3.3. Market Challenges
      • 3.3.1. Organizational failures pertaining to optimum use of customer data
    • 3.4. Market Trends
      • 3.4.1. Rising adoption of disruptive technologies, technologies such as AI, ML, and business process automation to streamline marketing operations
  • 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 Customer Analytics in E-commerce, by Application, Organization Size, Offline Online, Components and Region (value) (2018-2023)
    • 5.1. Introduction
    • 5.2. Global Customer Analytics in E-commerce (Value)
      • 5.2.1. Global Customer Analytics in E-commerce by: Application (Value)
        • 5.2.1.1. Merchandising analysis
        • 5.2.1.2. Pricing analysis
        • 5.2.1.3. Promotional analysis and planning
        • 5.2.1.4. Yield analysis
        • 5.2.1.5. Inventory analysis
        • 5.2.1.6. Others
      • 5.2.2. Global Customer Analytics in E-commerce by: Organization Size (Value)
        • 5.2.2.1. Large Enterprises
        • 5.2.2.2. Small and Medium-Sized Enterprises (SMEs)
      • 5.2.3. Global Customer Analytics in E-commerce by: Offline Online (Value)
        • 5.2.3.1. Web
        • 5.2.3.2. Social Media
        • 5.2.3.3. Smartphone
        • 5.2.3.4. Email
        • 5.2.3.5. Store
        • 5.2.3.6. Call Center
        • 5.2.3.7. Others
      • 5.2.4. Global Customer Analytics in E-commerce 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. Customer Analytics in E-commerce: 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 (2023)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Microsoft (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. IBM (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. Oracle (United States)
        • 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. Google (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. Salesforce (United States)
        • 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. SAP (Germany)
        • 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. AWS (United States)
        • 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. Teradata (United States)
        • 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. SAS Institute (United States)
        • 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. Fujitsu (Japan)
        • 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
      • 6.4.11. Capillary (Singapore)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
  • 7. Global Customer Analytics in E-commerce Sale, by Application, Organization Size, Offline Online, Components and Region (value) (2025-2030)
    • 7.1. Introduction
    • 7.2. Global Customer Analytics in E-commerce (Value)
      • 7.2.1. Global Customer Analytics in E-commerce by: Application (Value)
        • 7.2.1.1. Merchandising analysis
        • 7.2.1.2. Pricing analysis
        • 7.2.1.3. Promotional analysis and planning
        • 7.2.1.4. Yield analysis
        • 7.2.1.5. Inventory analysis
        • 7.2.1.6. Others
      • 7.2.2. Global Customer Analytics in E-commerce by: Organization Size (Value)
        • 7.2.2.1. Large Enterprises
        • 7.2.2.2. Small and Medium-Sized Enterprises (SMEs)
      • 7.2.3. Global Customer Analytics in E-commerce by: Offline Online (Value)
        • 7.2.3.1. Web
        • 7.2.3.2. Social Media
        • 7.2.3.3. Smartphone
        • 7.2.3.4. Email
        • 7.2.3.5. Store
        • 7.2.3.6. Call Center
        • 7.2.3.7. Others
      • 7.2.4. Global Customer Analytics in E-commerce 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. Customer Analytics in E-commerce: by Application(USD Million)
  • Table 2. Customer Analytics in E-commerce Merchandising analysis , by Region USD Million (2018-2023)
  • Table 3. Customer Analytics in E-commerce Pricing analysis , by Region USD Million (2018-2023)
  • Table 4. Customer Analytics in E-commerce Promotional analysis and planning , by Region USD Million (2018-2023)
  • Table 5. Customer Analytics in E-commerce Yield analysis , by Region USD Million (2018-2023)
  • Table 6. Customer Analytics in E-commerce Inventory analysis , by Region USD Million (2018-2023)
  • Table 7. Customer Analytics in E-commerce Others , by Region USD Million (2018-2023)
  • Table 8. Customer Analytics in E-commerce: by Organization Size(USD Million)
  • Table 9. Customer Analytics in E-commerce Large Enterprises , by Region USD Million (2018-2023)
  • Table 10. Customer Analytics in E-commerce Small and Medium-Sized Enterprises (SMEs) , by Region USD Million (2018-2023)
  • Table 11. Customer Analytics in E-commerce: by Offline Online(USD Million)
  • Table 12. Customer Analytics in E-commerce Web , by Region USD Million (2018-2023)
  • Table 13. Customer Analytics in E-commerce Social Media , by Region USD Million (2018-2023)
  • Table 14. Customer Analytics in E-commerce Smartphone , by Region USD Million (2018-2023)
  • Table 15. Customer Analytics in E-commerce Email , by Region USD Million (2018-2023)
  • Table 16. Customer Analytics in E-commerce Store , by Region USD Million (2018-2023)
  • Table 17. Customer Analytics in E-commerce Call Center , by Region USD Million (2018-2023)
  • Table 18. Customer Analytics in E-commerce Others , by Region USD Million (2018-2023)
  • Table 19. South America Customer Analytics in E-commerce, by Country USD Million (2018-2023)
  • Table 20. South America Customer Analytics in E-commerce, by Application USD Million (2018-2023)
  • Table 21. South America Customer Analytics in E-commerce, by Organization Size USD Million (2018-2023)
  • Table 22. South America Customer Analytics in E-commerce, by Offline Online USD Million (2018-2023)
  • Table 23. South America Customer Analytics in E-commerce, by Components USD Million (2018-2023)
  • Table 24. Brazil Customer Analytics in E-commerce, by Application USD Million (2018-2023)
  • Table 25. Brazil Customer Analytics in E-commerce, by Organization Size USD Million (2018-2023)
  • Table 26. Brazil Customer Analytics in E-commerce, by Offline Online USD Million (2018-2023)
  • Table 27. Brazil Customer Analytics in E-commerce, by Components USD Million (2018-2023)
  • Table 28. Argentina Customer Analytics in E-commerce, by Application USD Million (2018-2023)
  • Table 29. Argentina Customer Analytics in E-commerce, by Organization Size USD Million (2018-2023)
  • Table 30. Argentina Customer Analytics in E-commerce, by Offline Online USD Million (2018-2023)
  • Table 31. Argentina Customer Analytics in E-commerce, by Components USD Million (2018-2023)
  • Table 32. Rest of South America Customer Analytics in E-commerce, by Application USD Million (2018-2023)
  • Table 33. Rest of South America Customer Analytics in E-commerce, by Organization Size USD Million (2018-2023)
  • Table 34. Rest of South America Customer Analytics in E-commerce, by Offline Online USD Million (2018-2023)
  • Table 35. Rest of South America Customer Analytics in E-commerce, by Components USD Million (2018-2023)
  • Table 36. Asia Pacific Customer Analytics in E-commerce, by Country USD Million (2018-2023)
  • Table 37. Asia Pacific Customer Analytics in E-commerce, by Application USD Million (2018-2023)
  • Table 38. Asia Pacific Customer Analytics in E-commerce, by Organization Size USD Million (2018-2023)
  • Table 39. Asia Pacific Customer Analytics in E-commerce, by Offline Online USD Million (2018-2023)
  • Table 40. Asia Pacific Customer Analytics in E-commerce, by Components USD Million (2018-2023)
  • Table 41. China Customer Analytics in E-commerce, by Application USD Million (2018-2023)
  • Table 42. China Customer Analytics in E-commerce, by Organization Size USD Million (2018-2023)
  • Table 43. China Customer Analytics in E-commerce, by Offline Online USD Million (2018-2023)
  • Table 44. China Customer Analytics in E-commerce, by Components USD Million (2018-2023)
  • Table 45. Japan Customer Analytics in E-commerce, by Application USD Million (2018-2023)
  • Table 46. Japan Customer Analytics in E-commerce, by Organization Size USD Million (2018-2023)
  • Table 47. Japan Customer Analytics in E-commerce, by Offline Online USD Million (2018-2023)
  • Table 48. Japan Customer Analytics in E-commerce, by Components USD Million (2018-2023)
  • Table 49. India Customer Analytics in E-commerce, by Application USD Million (2018-2023)
  • Table 50. India Customer Analytics in E-commerce, by Organization Size USD Million (2018-2023)
  • Table 51. India Customer Analytics in E-commerce, by Offline Online USD Million (2018-2023)
  • Table 52. India Customer Analytics in E-commerce, by Components USD Million (2018-2023)
  • Table 53. South Korea Customer Analytics in E-commerce, by Application USD Million (2018-2023)
  • Table 54. South Korea Customer Analytics in E-commerce, by Organization Size USD Million (2018-2023)
  • Table 55. South Korea Customer Analytics in E-commerce, by Offline Online USD Million (2018-2023)
  • Table 56. South Korea Customer Analytics in E-commerce, by Components USD Million (2018-2023)
  • Table 57. Taiwan Customer Analytics in E-commerce, by Application USD Million (2018-2023)
  • Table 58. Taiwan Customer Analytics in E-commerce, by Organization Size USD Million (2018-2023)
  • Table 59. Taiwan Customer Analytics in E-commerce, by Offline Online USD Million (2018-2023)
  • Table 60. Taiwan Customer Analytics in E-commerce, by Components USD Million (2018-2023)
  • Table 61. Australia Customer Analytics in E-commerce, by Application USD Million (2018-2023)
  • Table 62. Australia Customer Analytics in E-commerce, by Organization Size USD Million (2018-2023)
  • Table 63. Australia Customer Analytics in E-commerce, by Offline Online USD Million (2018-2023)
  • Table 64. Australia Customer Analytics in E-commerce, by Components USD Million (2018-2023)
  • Table 65. Rest of Asia-Pacific Customer Analytics in E-commerce, by Application USD Million (2018-2023)
  • Table 66. Rest of Asia-Pacific Customer Analytics in E-commerce, by Organization Size USD Million (2018-2023)
  • Table 67. Rest of Asia-Pacific Customer Analytics in E-commerce, by Offline Online USD Million (2018-2023)
  • Table 68. Rest of Asia-Pacific Customer Analytics in E-commerce, by Components USD Million (2018-2023)
  • Table 69. Europe Customer Analytics in E-commerce, by Country USD Million (2018-2023)
  • Table 70. Europe Customer Analytics in E-commerce, by Application USD Million (2018-2023)
  • Table 71. Europe Customer Analytics in E-commerce, by Organization Size USD Million (2018-2023)
  • Table 72. Europe Customer Analytics in E-commerce, by Offline Online USD Million (2018-2023)
  • Table 73. Europe Customer Analytics in E-commerce, by Components USD Million (2018-2023)
  • Table 74. Germany Customer Analytics in E-commerce, by Application USD Million (2018-2023)
  • Table 75. Germany Customer Analytics in E-commerce, by Organization Size USD Million (2018-2023)
  • Table 76. Germany Customer Analytics in E-commerce, by Offline Online USD Million (2018-2023)
  • Table 77. Germany Customer Analytics in E-commerce, by Components USD Million (2018-2023)
  • Table 78. France Customer Analytics in E-commerce, by Application USD Million (2018-2023)
  • Table 79. France Customer Analytics in E-commerce, by Organization Size USD Million (2018-2023)
  • Table 80. France Customer Analytics in E-commerce, by Offline Online USD Million (2018-2023)
  • Table 81. France Customer Analytics in E-commerce, by Components USD Million (2018-2023)
  • Table 82. Italy Customer Analytics in E-commerce, by Application USD Million (2018-2023)
  • Table 83. Italy Customer Analytics in E-commerce, by Organization Size USD Million (2018-2023)
  • Table 84. Italy Customer Analytics in E-commerce, by Offline Online USD Million (2018-2023)
  • Table 85. Italy Customer Analytics in E-commerce, by Components USD Million (2018-2023)
  • Table 86. United Kingdom Customer Analytics in E-commerce, by Application USD Million (2018-2023)
  • Table 87. United Kingdom Customer Analytics in E-commerce, by Organization Size USD Million (2018-2023)
  • Table 88. United Kingdom Customer Analytics in E-commerce, by Offline Online USD Million (2018-2023)
  • Table 89. United Kingdom Customer Analytics in E-commerce, by Components USD Million (2018-2023)
  • Table 90. Netherlands Customer Analytics in E-commerce, by Application USD Million (2018-2023)
  • Table 91. Netherlands Customer Analytics in E-commerce, by Organization Size USD Million (2018-2023)
  • Table 92. Netherlands Customer Analytics in E-commerce, by Offline Online USD Million (2018-2023)
  • Table 93. Netherlands Customer Analytics in E-commerce, by Components USD Million (2018-2023)
  • Table 94. Rest of Europe Customer Analytics in E-commerce, by Application USD Million (2018-2023)
  • Table 95. Rest of Europe Customer Analytics in E-commerce, by Organization Size USD Million (2018-2023)
  • Table 96. Rest of Europe Customer Analytics in E-commerce, by Offline Online USD Million (2018-2023)
  • Table 97. Rest of Europe Customer Analytics in E-commerce, by Components USD Million (2018-2023)
  • Table 98. MEA Customer Analytics in E-commerce, by Country USD Million (2018-2023)
  • Table 99. MEA Customer Analytics in E-commerce, by Application USD Million (2018-2023)
  • Table 100. MEA Customer Analytics in E-commerce, by Organization Size USD Million (2018-2023)
  • Table 101. MEA Customer Analytics in E-commerce, by Offline Online USD Million (2018-2023)
  • Table 102. MEA Customer Analytics in E-commerce, by Components USD Million (2018-2023)
  • Table 103. Middle East Customer Analytics in E-commerce, by Application USD Million (2018-2023)
  • Table 104. Middle East Customer Analytics in E-commerce, by Organization Size USD Million (2018-2023)
  • Table 105. Middle East Customer Analytics in E-commerce, by Offline Online USD Million (2018-2023)
  • Table 106. Middle East Customer Analytics in E-commerce, by Components USD Million (2018-2023)
  • Table 107. Africa Customer Analytics in E-commerce, by Application USD Million (2018-2023)
  • Table 108. Africa Customer Analytics in E-commerce, by Organization Size USD Million (2018-2023)
  • Table 109. Africa Customer Analytics in E-commerce, by Offline Online USD Million (2018-2023)
  • Table 110. Africa Customer Analytics in E-commerce, by Components USD Million (2018-2023)
  • Table 111. North America Customer Analytics in E-commerce, by Country USD Million (2018-2023)
  • Table 112. North America Customer Analytics in E-commerce, by Application USD Million (2018-2023)
  • Table 113. North America Customer Analytics in E-commerce, by Organization Size USD Million (2018-2023)
  • Table 114. North America Customer Analytics in E-commerce, by Offline Online USD Million (2018-2023)
  • Table 115. North America Customer Analytics in E-commerce, by Components USD Million (2018-2023)
  • Table 116. United States Customer Analytics in E-commerce, by Application USD Million (2018-2023)
  • Table 117. United States Customer Analytics in E-commerce, by Organization Size USD Million (2018-2023)
  • Table 118. United States Customer Analytics in E-commerce, by Offline Online USD Million (2018-2023)
  • Table 119. United States Customer Analytics in E-commerce, by Components USD Million (2018-2023)
  • Table 120. Canada Customer Analytics in E-commerce, by Application USD Million (2018-2023)
  • Table 121. Canada Customer Analytics in E-commerce, by Organization Size USD Million (2018-2023)
  • Table 122. Canada Customer Analytics in E-commerce, by Offline Online USD Million (2018-2023)
  • Table 123. Canada Customer Analytics in E-commerce, by Components USD Million (2018-2023)
  • Table 124. Mexico Customer Analytics in E-commerce, by Application USD Million (2018-2023)
  • Table 125. Mexico Customer Analytics in E-commerce, by Organization Size USD Million (2018-2023)
  • Table 126. Mexico Customer Analytics in E-commerce, by Offline Online USD Million (2018-2023)
  • Table 127. Mexico Customer Analytics in E-commerce, by Components USD Million (2018-2023)
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Company Basic Information, Sales Area and Its Competitors
  • Table 137. Company Basic Information, Sales Area and Its Competitors
  • Table 138. Company Basic Information, Sales Area and Its Competitors
  • Table 139. Customer Analytics in E-commerce: by Application(USD Million)
  • Table 140. Customer Analytics in E-commerce Merchandising analysis , by Region USD Million (2025-2030)
  • Table 141. Customer Analytics in E-commerce Pricing analysis , by Region USD Million (2025-2030)
  • Table 142. Customer Analytics in E-commerce Promotional analysis and planning , by Region USD Million (2025-2030)
  • Table 143. Customer Analytics in E-commerce Yield analysis , by Region USD Million (2025-2030)
  • Table 144. Customer Analytics in E-commerce Inventory analysis , by Region USD Million (2025-2030)
  • Table 145. Customer Analytics in E-commerce Others , by Region USD Million (2025-2030)
  • Table 146. Customer Analytics in E-commerce: by Organization Size(USD Million)
  • Table 147. Customer Analytics in E-commerce Large Enterprises , by Region USD Million (2025-2030)
  • Table 148. Customer Analytics in E-commerce Small and Medium-Sized Enterprises (SMEs) , by Region USD Million (2025-2030)
  • Table 149. Customer Analytics in E-commerce: by Offline Online(USD Million)
  • Table 150. Customer Analytics in E-commerce Web , by Region USD Million (2025-2030)
  • Table 151. Customer Analytics in E-commerce Social Media , by Region USD Million (2025-2030)
  • Table 152. Customer Analytics in E-commerce Smartphone , by Region USD Million (2025-2030)
  • Table 153. Customer Analytics in E-commerce Email , by Region USD Million (2025-2030)
  • Table 154. Customer Analytics in E-commerce Store , by Region USD Million (2025-2030)
  • Table 155. Customer Analytics in E-commerce Call Center , by Region USD Million (2025-2030)
  • Table 156. Customer Analytics in E-commerce Others , by Region USD Million (2025-2030)
  • Table 157. South America Customer Analytics in E-commerce, by Country USD Million (2025-2030)
  • Table 158. South America Customer Analytics in E-commerce, by Application USD Million (2025-2030)
  • Table 159. South America Customer Analytics in E-commerce, by Organization Size USD Million (2025-2030)
  • Table 160. South America Customer Analytics in E-commerce, by Offline Online USD Million (2025-2030)
  • Table 161. South America Customer Analytics in E-commerce, by Components USD Million (2025-2030)
  • Table 162. Brazil Customer Analytics in E-commerce, by Application USD Million (2025-2030)
  • Table 163. Brazil Customer Analytics in E-commerce, by Organization Size USD Million (2025-2030)
  • Table 164. Brazil Customer Analytics in E-commerce, by Offline Online USD Million (2025-2030)
  • Table 165. Brazil Customer Analytics in E-commerce, by Components USD Million (2025-2030)
  • Table 166. Argentina Customer Analytics in E-commerce, by Application USD Million (2025-2030)
  • Table 167. Argentina Customer Analytics in E-commerce, by Organization Size USD Million (2025-2030)
  • Table 168. Argentina Customer Analytics in E-commerce, by Offline Online USD Million (2025-2030)
  • Table 169. Argentina Customer Analytics in E-commerce, by Components USD Million (2025-2030)
  • Table 170. Rest of South America Customer Analytics in E-commerce, by Application USD Million (2025-2030)
  • Table 171. Rest of South America Customer Analytics in E-commerce, by Organization Size USD Million (2025-2030)
  • Table 172. Rest of South America Customer Analytics in E-commerce, by Offline Online USD Million (2025-2030)
  • Table 173. Rest of South America Customer Analytics in E-commerce, by Components USD Million (2025-2030)
  • Table 174. Asia Pacific Customer Analytics in E-commerce, by Country USD Million (2025-2030)
  • Table 175. Asia Pacific Customer Analytics in E-commerce, by Application USD Million (2025-2030)
  • Table 176. Asia Pacific Customer Analytics in E-commerce, by Organization Size USD Million (2025-2030)
  • Table 177. Asia Pacific Customer Analytics in E-commerce, by Offline Online USD Million (2025-2030)
  • Table 178. Asia Pacific Customer Analytics in E-commerce, by Components USD Million (2025-2030)
  • Table 179. China Customer Analytics in E-commerce, by Application USD Million (2025-2030)
  • Table 180. China Customer Analytics in E-commerce, by Organization Size USD Million (2025-2030)
  • Table 181. China Customer Analytics in E-commerce, by Offline Online USD Million (2025-2030)
  • Table 182. China Customer Analytics in E-commerce, by Components USD Million (2025-2030)
  • Table 183. Japan Customer Analytics in E-commerce, by Application USD Million (2025-2030)
  • Table 184. Japan Customer Analytics in E-commerce, by Organization Size USD Million (2025-2030)
  • Table 185. Japan Customer Analytics in E-commerce, by Offline Online USD Million (2025-2030)
  • Table 186. Japan Customer Analytics in E-commerce, by Components USD Million (2025-2030)
  • Table 187. India Customer Analytics in E-commerce, by Application USD Million (2025-2030)
  • Table 188. India Customer Analytics in E-commerce, by Organization Size USD Million (2025-2030)
  • Table 189. India Customer Analytics in E-commerce, by Offline Online USD Million (2025-2030)
  • Table 190. India Customer Analytics in E-commerce, by Components USD Million (2025-2030)
  • Table 191. South Korea Customer Analytics in E-commerce, by Application USD Million (2025-2030)
  • Table 192. South Korea Customer Analytics in E-commerce, by Organization Size USD Million (2025-2030)
  • Table 193. South Korea Customer Analytics in E-commerce, by Offline Online USD Million (2025-2030)
  • Table 194. South Korea Customer Analytics in E-commerce, by Components USD Million (2025-2030)
  • Table 195. Taiwan Customer Analytics in E-commerce, by Application USD Million (2025-2030)
  • Table 196. Taiwan Customer Analytics in E-commerce, by Organization Size USD Million (2025-2030)
  • Table 197. Taiwan Customer Analytics in E-commerce, by Offline Online USD Million (2025-2030)
  • Table 198. Taiwan Customer Analytics in E-commerce, by Components USD Million (2025-2030)
  • Table 199. Australia Customer Analytics in E-commerce, by Application USD Million (2025-2030)
  • Table 200. Australia Customer Analytics in E-commerce, by Organization Size USD Million (2025-2030)
  • Table 201. Australia Customer Analytics in E-commerce, by Offline Online USD Million (2025-2030)
  • Table 202. Australia Customer Analytics in E-commerce, by Components USD Million (2025-2030)
  • Table 203. Rest of Asia-Pacific Customer Analytics in E-commerce, by Application USD Million (2025-2030)
  • Table 204. Rest of Asia-Pacific Customer Analytics in E-commerce, by Organization Size USD Million (2025-2030)
  • Table 205. Rest of Asia-Pacific Customer Analytics in E-commerce, by Offline Online USD Million (2025-2030)
  • Table 206. Rest of Asia-Pacific Customer Analytics in E-commerce, by Components USD Million (2025-2030)
  • Table 207. Europe Customer Analytics in E-commerce, by Country USD Million (2025-2030)
  • Table 208. Europe Customer Analytics in E-commerce, by Application USD Million (2025-2030)
  • Table 209. Europe Customer Analytics in E-commerce, by Organization Size USD Million (2025-2030)
  • Table 210. Europe Customer Analytics in E-commerce, by Offline Online USD Million (2025-2030)
  • Table 211. Europe Customer Analytics in E-commerce, by Components USD Million (2025-2030)
  • Table 212. Germany Customer Analytics in E-commerce, by Application USD Million (2025-2030)
  • Table 213. Germany Customer Analytics in E-commerce, by Organization Size USD Million (2025-2030)
  • Table 214. Germany Customer Analytics in E-commerce, by Offline Online USD Million (2025-2030)
  • Table 215. Germany Customer Analytics in E-commerce, by Components USD Million (2025-2030)
  • Table 216. France Customer Analytics in E-commerce, by Application USD Million (2025-2030)
  • Table 217. France Customer Analytics in E-commerce, by Organization Size USD Million (2025-2030)
  • Table 218. France Customer Analytics in E-commerce, by Offline Online USD Million (2025-2030)
  • Table 219. France Customer Analytics in E-commerce, by Components USD Million (2025-2030)
  • Table 220. Italy Customer Analytics in E-commerce, by Application USD Million (2025-2030)
  • Table 221. Italy Customer Analytics in E-commerce, by Organization Size USD Million (2025-2030)
  • Table 222. Italy Customer Analytics in E-commerce, by Offline Online USD Million (2025-2030)
  • Table 223. Italy Customer Analytics in E-commerce, by Components USD Million (2025-2030)
  • Table 224. United Kingdom Customer Analytics in E-commerce, by Application USD Million (2025-2030)
  • Table 225. United Kingdom Customer Analytics in E-commerce, by Organization Size USD Million (2025-2030)
  • Table 226. United Kingdom Customer Analytics in E-commerce, by Offline Online USD Million (2025-2030)
  • Table 227. United Kingdom Customer Analytics in E-commerce, by Components USD Million (2025-2030)
  • Table 228. Netherlands Customer Analytics in E-commerce, by Application USD Million (2025-2030)
  • Table 229. Netherlands Customer Analytics in E-commerce, by Organization Size USD Million (2025-2030)
  • Table 230. Netherlands Customer Analytics in E-commerce, by Offline Online USD Million (2025-2030)
  • Table 231. Netherlands Customer Analytics in E-commerce, by Components USD Million (2025-2030)
  • Table 232. Rest of Europe Customer Analytics in E-commerce, by Application USD Million (2025-2030)
  • Table 233. Rest of Europe Customer Analytics in E-commerce, by Organization Size USD Million (2025-2030)
  • Table 234. Rest of Europe Customer Analytics in E-commerce, by Offline Online USD Million (2025-2030)
  • Table 235. Rest of Europe Customer Analytics in E-commerce, by Components USD Million (2025-2030)
  • Table 236. MEA Customer Analytics in E-commerce, by Country USD Million (2025-2030)
  • Table 237. MEA Customer Analytics in E-commerce, by Application USD Million (2025-2030)
  • Table 238. MEA Customer Analytics in E-commerce, by Organization Size USD Million (2025-2030)
  • Table 239. MEA Customer Analytics in E-commerce, by Offline Online USD Million (2025-2030)
  • Table 240. MEA Customer Analytics in E-commerce, by Components USD Million (2025-2030)
  • Table 241. Middle East Customer Analytics in E-commerce, by Application USD Million (2025-2030)
  • Table 242. Middle East Customer Analytics in E-commerce, by Organization Size USD Million (2025-2030)
  • Table 243. Middle East Customer Analytics in E-commerce, by Offline Online USD Million (2025-2030)
  • Table 244. Middle East Customer Analytics in E-commerce, by Components USD Million (2025-2030)
  • Table 245. Africa Customer Analytics in E-commerce, by Application USD Million (2025-2030)
  • Table 246. Africa Customer Analytics in E-commerce, by Organization Size USD Million (2025-2030)
  • Table 247. Africa Customer Analytics in E-commerce, by Offline Online USD Million (2025-2030)
  • Table 248. Africa Customer Analytics in E-commerce, by Components USD Million (2025-2030)
  • Table 249. North America Customer Analytics in E-commerce, by Country USD Million (2025-2030)
  • Table 250. North America Customer Analytics in E-commerce, by Application USD Million (2025-2030)
  • Table 251. North America Customer Analytics in E-commerce, by Organization Size USD Million (2025-2030)
  • Table 252. North America Customer Analytics in E-commerce, by Offline Online USD Million (2025-2030)
  • Table 253. North America Customer Analytics in E-commerce, by Components USD Million (2025-2030)
  • Table 254. United States Customer Analytics in E-commerce, by Application USD Million (2025-2030)
  • Table 255. United States Customer Analytics in E-commerce, by Organization Size USD Million (2025-2030)
  • Table 256. United States Customer Analytics in E-commerce, by Offline Online USD Million (2025-2030)
  • Table 257. United States Customer Analytics in E-commerce, by Components USD Million (2025-2030)
  • Table 258. Canada Customer Analytics in E-commerce, by Application USD Million (2025-2030)
  • Table 259. Canada Customer Analytics in E-commerce, by Organization Size USD Million (2025-2030)
  • Table 260. Canada Customer Analytics in E-commerce, by Offline Online USD Million (2025-2030)
  • Table 261. Canada Customer Analytics in E-commerce, by Components USD Million (2025-2030)
  • Table 262. Mexico Customer Analytics in E-commerce, by Application USD Million (2025-2030)
  • Table 263. Mexico Customer Analytics in E-commerce, by Organization Size USD Million (2025-2030)
  • Table 264. Mexico Customer Analytics in E-commerce, by Offline Online USD Million (2025-2030)
  • Table 265. Mexico Customer Analytics in E-commerce, by Components USD Million (2025-2030)
  • Table 266. Research Programs/Design for This Report
  • Table 267. Key Data Information from Secondary Sources
  • Table 268. 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 Customer Analytics in E-commerce: by Application USD Million (2018-2023)
  • Figure 5. Global Customer Analytics in E-commerce: by Organization Size USD Million (2018-2023)
  • Figure 6. Global Customer Analytics in E-commerce: by Offline Online USD Million (2018-2023)
  • Figure 7. South America Customer Analytics in E-commerce Share (%), by Country
  • Figure 8. Asia Pacific Customer Analytics in E-commerce Share (%), by Country
  • Figure 9. Europe Customer Analytics in E-commerce Share (%), by Country
  • Figure 10. MEA Customer Analytics in E-commerce Share (%), by Country
  • Figure 11. North America Customer Analytics in E-commerce Share (%), by Country
  • Figure 12. Global Customer Analytics in E-commerce share by Players 2023 (%)
  • Figure 13. Global Customer Analytics in E-commerce share by Players (Top 3) 2023(%)
  • Figure 14. Global Customer Analytics in E-commerce share by Players (Top 5) 2023(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 17. Microsoft (United States) Revenue: by Geography 2023
  • Figure 18. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 19. IBM (United States) Revenue: by Geography 2023
  • Figure 20. Oracle (United States) Revenue, Net Income and Gross profit
  • Figure 21. Oracle (United States) Revenue: by Geography 2023
  • Figure 22. Google (United States) Revenue, Net Income and Gross profit
  • Figure 23. Google (United States) Revenue: by Geography 2023
  • Figure 24. Salesforce (United States) Revenue, Net Income and Gross profit
  • Figure 25. Salesforce (United States) Revenue: by Geography 2023
  • Figure 26. SAP (Germany) Revenue, Net Income and Gross profit
  • Figure 27. SAP (Germany) Revenue: by Geography 2023
  • Figure 28. AWS (United States) Revenue, Net Income and Gross profit
  • Figure 29. AWS (United States) Revenue: by Geography 2023
  • Figure 30. Teradata (United States) Revenue, Net Income and Gross profit
  • Figure 31. Teradata (United States) Revenue: by Geography 2023
  • Figure 32. SAS Institute (United States) Revenue, Net Income and Gross profit
  • Figure 33. SAS Institute (United States) Revenue: by Geography 2023
  • Figure 34. Fujitsu (Japan) Revenue, Net Income and Gross profit
  • Figure 35. Fujitsu (Japan) Revenue: by Geography 2023
  • Figure 36. Capillary (Singapore) Revenue, Net Income and Gross profit
  • Figure 37. Capillary (Singapore) Revenue: by Geography 2023
  • Figure 38. Global Customer Analytics in E-commerce: by Application USD Million (2025-2030)
  • Figure 39. Global Customer Analytics in E-commerce: by Organization Size USD Million (2025-2030)
  • Figure 40. Global Customer Analytics in E-commerce: by Offline Online USD Million (2025-2030)
  • Figure 41. South America Customer Analytics in E-commerce Share (%), by Country
  • Figure 42. Asia Pacific Customer Analytics in E-commerce Share (%), by Country
  • Figure 43. Europe Customer Analytics in E-commerce Share (%), by Country
  • Figure 44. MEA Customer Analytics in E-commerce Share (%), by Country
  • Figure 45. North America Customer Analytics in E-commerce Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Microsoft (United States)
  • IBM (United States)
  • Oracle (United States)
  • Google (United States)
  • Salesforce (United States)
  • SAP (Germany)
  • AWS (United States)
  • Teradata (United States)
  • SAS Institute (United States)
  • Fujitsu (Japan)
  • Capillary (Singapore)
Additional players considered in the study are as follows:
FLIR Systems (United States) , Information Builders (United States) , 1010Data (United States)
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Key Highlights of Report


Apr 2024 237 Pages 56 Tables Base Year: 2023 Coverage: 15+ Companies; 18 Countries

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Global Customer Analytics in E-commerce Market Quantitative research analysis
Global Customer Analytics in E-commerce Market Qualitative Industry Analysis
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Frequently Asked Questions (FAQ):

The prominent players of Global Customer Analytics in E-commerce market are Microsoft (United States), IBM (United States), Oracle (United States), Google (United States), Salesforce (United States), SAP (Germany), AWS (United States), Teradata (United States), SAS Institute (United States), Fujitsu (Japan) and Capillary (Singapore).
In this highly competitive & fast evolving Customer Analytics in E-commerce industry, the top strategic priorities would remain consistent like innovation, R&D, and M&A.
Merchandising analysis, Pricing analysis, Promotional analysis and planning, Yield analysis, Inventory analysis and Others are the potential customers of Customer Analytics in E-commerce industry.
The Global Customer Analytics in E-commerce market is expected to see a growth of 15.0% during projected year 2023 to 2030.

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