Global Automotive Data Analytics - Market

Automotive Data Analytics - Comprehensive Study by Application (Inventory Management, Predictive Analytics, Customer Behavior Analytics, Marketing Spend Management, Others), Components (Solutions, Services), Deployment (Cloud, On-premises), End-user (Automakers, Dealers) Players and Region - Global Market Outlook to 2028

Automotive Data Analytics - Market by XX Submarkets | Forecast Years 2023-2028  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
What is Automotive Data Analytics - Market?

Data analytics is widely used in the automotive industry to solve various business problems including supply chain, inventory, maintenance, and marketing & finance-related problems. Automotive data analytics is used by automakers to analyze customers’ behavior towards the products or services that helps to design and build custom solutions in order to improve service and customer experience. Further, predictive analytics is used to gain insights about the issues in the vehicle and improve aftermarket services like maintenance and personalization services. Data analytics helps automakers to plan and manage the inventory and marketing mix of specific targeted groups of consumers.

Highlights from Automotive Data Analytics - Market Study
AttributesDetails
Study Period2018-2028
Base Year2022
UnitValue (USD Million)
Key Companies ProfiledN-iX (Ukraine), Data Reply (United Kingdom), Phocas Software (Australia), Softweb Solutions (United States), DBi Data Business Intelligence (Spain), OmniSci, Inc. (United States), IBM (United States), Dataiku (United States), Oracle Corporation (United States), Mayato (Germany), QBurst (India), Teradata (United States), RapidMiner (United States), Infosys (India) and Grape Up (United States)


The key manufacturers are targeting the innovations of the products with better quality, better technical characteristics, and also assist in providing and humanizing the after-sale service to the consumers. The key players are probable to keep a stronghold on the market over the anticipated period. The key players are accepting strategic decisions and are thinking upon mergers and acquisitions in order to maintain their presence in the market Research Analyst at AMA predicts that United States Players will contribute to the maximum growth of Global Automotive Data Analytics - market throughout the forecasted period.

N-iX (Ukraine), Data Reply (United Kingdom), Phocas Software (Australia), Softweb Solutions (United States), DBi Data Business Intelligence (Spain), OmniSci, Inc. (United States), IBM (United States), Dataiku (United States), Oracle Corporation (United States), Mayato (Germany), QBurst (India), Teradata (United States), RapidMiner (United States), Infosys (India) and Grape Up (United States) are some of the key players profiled in the study.

Automotive Data Analytics - Market Segmentation:
ScopeSub-Segments
Application / End UserInventory Management, Predictive Analytics, Customer Behavior Analytics, Marketing Spend Management and Others
ComponentsSolutions,Services
DeploymentCloud,On-premises
End-userAutomakers,Dealers


On the basis of geography, the market of Automotive Data Analytics - has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, 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). Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
Integration of AI into Big Data and Innovation in Data Analytics Technology

Market Growth Drivers:
Surging Demand of Predictive Analytics in the Automotive Industry to Analyze Performance of Vehicle and Aftermarket Services and Increasing Deployment of Data Analytics Solutions by Automotive Manufacturers for Visibility Tracking and Inventory Management

Challenges:
Low Quality of Data and Complex & Bias Analytical Tools

Restraints:
Growing Privacy Concern and High Cost Associated With Workforce Training

Opportunities:
Evolution of Electric Vehicles and Emerging Trend of Autonomous Driving Has Potential to Create Many Opportunities.

Key Target Audience
New Entrants/Investors, Analysts and Strategic Business Planners, Automotive Data Analytics Solution & Service Providers, Venture Capitalists and Private Equity Firms, Government Regulatory and Research Organizations, End-Users and Others

Market Leaders & Development Strategies
In December 2019, the global leader in data analytics and consumer intelligence, J.D. Power merged with Autodata Solutions, a provider of data and software solutions for the automotive ecosystem. The merger will bring Thoma Bravo, a leading private equity firm and owner of Autodata Solutions, to J.D. The acquisition of Power is complete. The newly merged company is J.D. Operating under the name Power, it provided the automotive industry with market-leading new and used vehicle transaction data, evaluation tools, vehicle feature information, and consumer analytics.
In 2018, RapidMiner launched a new next-generation cloud data science platform for data scientists to business analysts easily manage and deploy predictive models in the cloud. The new model uses automated machine learning that helps to automatically search and merge data and build predictive models in a few minutes. The new cloud platform is developed on the modern, powerful architecture, and complements existing RapidMiner products Studio, Server, and Radoop.


Report Objectives / Segmentation Covered

By Application
  • Inventory Management
  • Predictive Analytics
  • Customer Behavior Analytics
  • Marketing Spend Management
  • Others
By Components
  • Solutions
  • Services

By Deployment
  • Cloud
  • On-premises

By End-user
  • Automakers
  • Dealers

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • 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. Surging Demand of Predictive Analytics in the Automotive Industry to Analyze Performance of Vehicle and Aftermarket Services
      • 3.2.2. Increasing Deployment of Data Analytics Solutions by Automotive Manufacturers for Visibility Tracking and Inventory Management
    • 3.3. Market Challenges
      • 3.3.1. Low Quality of Data and Complex & Bias Analytical Tools
    • 3.4. Market Trends
      • 3.4.1. Integration of AI into Big Data and Innovation in Data Analytics Technology
  • 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 Automotive Data Analytics -, by Application, Components, Deployment, End-user and Region (value and price ) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Automotive Data Analytics - (Value)
      • 5.2.1. Global Automotive Data Analytics - by: Application (Value)
        • 5.2.1.1. Inventory Management
        • 5.2.1.2. Predictive Analytics
        • 5.2.1.3. Customer Behavior Analytics
        • 5.2.1.4. Marketing Spend Management
        • 5.2.1.5. Others
      • 5.2.2. Global Automotive Data Analytics - by: Components (Value)
        • 5.2.2.1. Solutions
        • 5.2.2.2. Services
      • 5.2.3. Global Automotive Data Analytics - by: Deployment (Value)
        • 5.2.3.1. Cloud
        • 5.2.3.2. On-premises
      • 5.2.4. Global Automotive Data Analytics - by: End-user (Value)
        • 5.2.4.1. Automakers
        • 5.2.4.2. Dealers
      • 5.2.5. Global Automotive Data Analytics - Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Australia
          • 5.2.5.2.6. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
    • 5.3. Global Automotive Data Analytics - (Price)
  • 6. Automotive Data Analytics -: 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. N-iX (Ukraine)
        • 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. Data Reply (United Kingdom)
        • 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. Phocas Software (Australia)
        • 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. Softweb Solutions (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. DBi Data Business Intelligence (Spain)
        • 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. OmniSci, Inc. (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. IBM (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. Dataiku (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. Oracle Corporation (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. Mayato (Germany)
        • 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. QBurst (India)
        • 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
      • 6.4.12. Teradata (United States)
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
      • 6.4.13. RapidMiner (United States)
        • 6.4.13.1. Business Overview
        • 6.4.13.2. Products/Services Offerings
        • 6.4.13.3. Financial Analysis
        • 6.4.13.4. SWOT Analysis
      • 6.4.14. Infosys (India)
        • 6.4.14.1. Business Overview
        • 6.4.14.2. Products/Services Offerings
        • 6.4.14.3. Financial Analysis
        • 6.4.14.4. SWOT Analysis
      • 6.4.15. Grape Up (United States)
        • 6.4.15.1. Business Overview
        • 6.4.15.2. Products/Services Offerings
        • 6.4.15.3. Financial Analysis
        • 6.4.15.4. SWOT Analysis
  • 7. Global Automotive Data Analytics - Sale, by Application, Components, Deployment, End-user and Region (value and price ) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Automotive Data Analytics - (Value)
      • 7.2.1. Global Automotive Data Analytics - by: Application (Value)
        • 7.2.1.1. Inventory Management
        • 7.2.1.2. Predictive Analytics
        • 7.2.1.3. Customer Behavior Analytics
        • 7.2.1.4. Marketing Spend Management
        • 7.2.1.5. Others
      • 7.2.2. Global Automotive Data Analytics - by: Components (Value)
        • 7.2.2.1. Solutions
        • 7.2.2.2. Services
      • 7.2.3. Global Automotive Data Analytics - by: Deployment (Value)
        • 7.2.3.1. Cloud
        • 7.2.3.2. On-premises
      • 7.2.4. Global Automotive Data Analytics - by: End-user (Value)
        • 7.2.4.1. Automakers
        • 7.2.4.2. Dealers
      • 7.2.5. Global Automotive Data Analytics - Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Australia
          • 7.2.5.2.6. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
    • 7.3. Global Automotive Data Analytics - (Price)
  • 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. Automotive Data Analytics -: by Application(USD Million)
  • Table 2. Automotive Data Analytics - Inventory Management , by Region USD Million (2017-2022)
  • Table 3. Automotive Data Analytics - Predictive Analytics , by Region USD Million (2017-2022)
  • Table 4. Automotive Data Analytics - Customer Behavior Analytics , by Region USD Million (2017-2022)
  • Table 5. Automotive Data Analytics - Marketing Spend Management , by Region USD Million (2017-2022)
  • Table 6. Automotive Data Analytics - Others , by Region USD Million (2017-2022)
  • Table 7. Automotive Data Analytics -: by Components(USD Million)
  • Table 8. Automotive Data Analytics - Solutions , by Region USD Million (2017-2022)
  • Table 9. Automotive Data Analytics - Services , by Region USD Million (2017-2022)
  • Table 10. Automotive Data Analytics -: by Deployment(USD Million)
  • Table 11. Automotive Data Analytics - Cloud , by Region USD Million (2017-2022)
  • Table 12. Automotive Data Analytics - On-premises , by Region USD Million (2017-2022)
  • Table 13. Automotive Data Analytics -: by End-user(USD Million)
  • Table 14. Automotive Data Analytics - Automakers , by Region USD Million (2017-2022)
  • Table 15. Automotive Data Analytics - Dealers , by Region USD Million (2017-2022)
  • Table 16. South America Automotive Data Analytics -, by Country USD Million (2017-2022)
  • Table 17. South America Automotive Data Analytics -, by Application USD Million (2017-2022)
  • Table 18. South America Automotive Data Analytics -, by Components USD Million (2017-2022)
  • Table 19. South America Automotive Data Analytics -, by Deployment USD Million (2017-2022)
  • Table 20. South America Automotive Data Analytics -, by End-user USD Million (2017-2022)
  • Table 21. Brazil Automotive Data Analytics -, by Application USD Million (2017-2022)
  • Table 22. Brazil Automotive Data Analytics -, by Components USD Million (2017-2022)
  • Table 23. Brazil Automotive Data Analytics -, by Deployment USD Million (2017-2022)
  • Table 24. Brazil Automotive Data Analytics -, by End-user USD Million (2017-2022)
  • Table 25. Argentina Automotive Data Analytics -, by Application USD Million (2017-2022)
  • Table 26. Argentina Automotive Data Analytics -, by Components USD Million (2017-2022)
  • Table 27. Argentina Automotive Data Analytics -, by Deployment USD Million (2017-2022)
  • Table 28. Argentina Automotive Data Analytics -, by End-user USD Million (2017-2022)
  • Table 29. Rest of South America Automotive Data Analytics -, by Application USD Million (2017-2022)
  • Table 30. Rest of South America Automotive Data Analytics -, by Components USD Million (2017-2022)
  • Table 31. Rest of South America Automotive Data Analytics -, by Deployment USD Million (2017-2022)
  • Table 32. Rest of South America Automotive Data Analytics -, by End-user USD Million (2017-2022)
  • Table 33. Asia Pacific Automotive Data Analytics -, by Country USD Million (2017-2022)
  • Table 34. Asia Pacific Automotive Data Analytics -, by Application USD Million (2017-2022)
  • Table 35. Asia Pacific Automotive Data Analytics -, by Components USD Million (2017-2022)
  • Table 36. Asia Pacific Automotive Data Analytics -, by Deployment USD Million (2017-2022)
  • Table 37. Asia Pacific Automotive Data Analytics -, by End-user USD Million (2017-2022)
  • Table 38. China Automotive Data Analytics -, by Application USD Million (2017-2022)
  • Table 39. China Automotive Data Analytics -, by Components USD Million (2017-2022)
  • Table 40. China Automotive Data Analytics -, by Deployment USD Million (2017-2022)
  • Table 41. China Automotive Data Analytics -, by End-user USD Million (2017-2022)
  • Table 42. Japan Automotive Data Analytics -, by Application USD Million (2017-2022)
  • Table 43. Japan Automotive Data Analytics -, by Components USD Million (2017-2022)
  • Table 44. Japan Automotive Data Analytics -, by Deployment USD Million (2017-2022)
  • Table 45. Japan Automotive Data Analytics -, by End-user USD Million (2017-2022)
  • Table 46. India Automotive Data Analytics -, by Application USD Million (2017-2022)
  • Table 47. India Automotive Data Analytics -, by Components USD Million (2017-2022)
  • Table 48. India Automotive Data Analytics -, by Deployment USD Million (2017-2022)
  • Table 49. India Automotive Data Analytics -, by End-user USD Million (2017-2022)
  • Table 50. South Korea Automotive Data Analytics -, by Application USD Million (2017-2022)
  • Table 51. South Korea Automotive Data Analytics -, by Components USD Million (2017-2022)
  • Table 52. South Korea Automotive Data Analytics -, by Deployment USD Million (2017-2022)
  • Table 53. South Korea Automotive Data Analytics -, by End-user USD Million (2017-2022)
  • Table 54. Australia Automotive Data Analytics -, by Application USD Million (2017-2022)
  • Table 55. Australia Automotive Data Analytics -, by Components USD Million (2017-2022)
  • Table 56. Australia Automotive Data Analytics -, by Deployment USD Million (2017-2022)
  • Table 57. Australia Automotive Data Analytics -, by End-user USD Million (2017-2022)
  • Table 58. Rest of Asia-Pacific Automotive Data Analytics -, by Application USD Million (2017-2022)
  • Table 59. Rest of Asia-Pacific Automotive Data Analytics -, by Components USD Million (2017-2022)
  • Table 60. Rest of Asia-Pacific Automotive Data Analytics -, by Deployment USD Million (2017-2022)
  • Table 61. Rest of Asia-Pacific Automotive Data Analytics -, by End-user USD Million (2017-2022)
  • Table 62. Europe Automotive Data Analytics -, by Country USD Million (2017-2022)
  • Table 63. Europe Automotive Data Analytics -, by Application USD Million (2017-2022)
  • Table 64. Europe Automotive Data Analytics -, by Components USD Million (2017-2022)
  • Table 65. Europe Automotive Data Analytics -, by Deployment USD Million (2017-2022)
  • Table 66. Europe Automotive Data Analytics -, by End-user USD Million (2017-2022)
  • Table 67. Germany Automotive Data Analytics -, by Application USD Million (2017-2022)
  • Table 68. Germany Automotive Data Analytics -, by Components USD Million (2017-2022)
  • Table 69. Germany Automotive Data Analytics -, by Deployment USD Million (2017-2022)
  • Table 70. Germany Automotive Data Analytics -, by End-user USD Million (2017-2022)
  • Table 71. France Automotive Data Analytics -, by Application USD Million (2017-2022)
  • Table 72. France Automotive Data Analytics -, by Components USD Million (2017-2022)
  • Table 73. France Automotive Data Analytics -, by Deployment USD Million (2017-2022)
  • Table 74. France Automotive Data Analytics -, by End-user USD Million (2017-2022)
  • Table 75. Italy Automotive Data Analytics -, by Application USD Million (2017-2022)
  • Table 76. Italy Automotive Data Analytics -, by Components USD Million (2017-2022)
  • Table 77. Italy Automotive Data Analytics -, by Deployment USD Million (2017-2022)
  • Table 78. Italy Automotive Data Analytics -, by End-user USD Million (2017-2022)
  • Table 79. United Kingdom Automotive Data Analytics -, by Application USD Million (2017-2022)
  • Table 80. United Kingdom Automotive Data Analytics -, by Components USD Million (2017-2022)
  • Table 81. United Kingdom Automotive Data Analytics -, by Deployment USD Million (2017-2022)
  • Table 82. United Kingdom Automotive Data Analytics -, by End-user USD Million (2017-2022)
  • Table 83. Netherlands Automotive Data Analytics -, by Application USD Million (2017-2022)
  • Table 84. Netherlands Automotive Data Analytics -, by Components USD Million (2017-2022)
  • Table 85. Netherlands Automotive Data Analytics -, by Deployment USD Million (2017-2022)
  • Table 86. Netherlands Automotive Data Analytics -, by End-user USD Million (2017-2022)
  • Table 87. Rest of Europe Automotive Data Analytics -, by Application USD Million (2017-2022)
  • Table 88. Rest of Europe Automotive Data Analytics -, by Components USD Million (2017-2022)
  • Table 89. Rest of Europe Automotive Data Analytics -, by Deployment USD Million (2017-2022)
  • Table 90. Rest of Europe Automotive Data Analytics -, by End-user USD Million (2017-2022)
  • Table 91. MEA Automotive Data Analytics -, by Country USD Million (2017-2022)
  • Table 92. MEA Automotive Data Analytics -, by Application USD Million (2017-2022)
  • Table 93. MEA Automotive Data Analytics -, by Components USD Million (2017-2022)
  • Table 94. MEA Automotive Data Analytics -, by Deployment USD Million (2017-2022)
  • Table 95. MEA Automotive Data Analytics -, by End-user USD Million (2017-2022)
  • Table 96. Middle East Automotive Data Analytics -, by Application USD Million (2017-2022)
  • Table 97. Middle East Automotive Data Analytics -, by Components USD Million (2017-2022)
  • Table 98. Middle East Automotive Data Analytics -, by Deployment USD Million (2017-2022)
  • Table 99. Middle East Automotive Data Analytics -, by End-user USD Million (2017-2022)
  • Table 100. Africa Automotive Data Analytics -, by Application USD Million (2017-2022)
  • Table 101. Africa Automotive Data Analytics -, by Components USD Million (2017-2022)
  • Table 102. Africa Automotive Data Analytics -, by Deployment USD Million (2017-2022)
  • Table 103. Africa Automotive Data Analytics -, by End-user USD Million (2017-2022)
  • Table 104. North America Automotive Data Analytics -, by Country USD Million (2017-2022)
  • Table 105. North America Automotive Data Analytics -, by Application USD Million (2017-2022)
  • Table 106. North America Automotive Data Analytics -, by Components USD Million (2017-2022)
  • Table 107. North America Automotive Data Analytics -, by Deployment USD Million (2017-2022)
  • Table 108. North America Automotive Data Analytics -, by End-user USD Million (2017-2022)
  • Table 109. United States Automotive Data Analytics -, by Application USD Million (2017-2022)
  • Table 110. United States Automotive Data Analytics -, by Components USD Million (2017-2022)
  • Table 111. United States Automotive Data Analytics -, by Deployment USD Million (2017-2022)
  • Table 112. United States Automotive Data Analytics -, by End-user USD Million (2017-2022)
  • Table 113. Canada Automotive Data Analytics -, by Application USD Million (2017-2022)
  • Table 114. Canada Automotive Data Analytics -, by Components USD Million (2017-2022)
  • Table 115. Canada Automotive Data Analytics -, by Deployment USD Million (2017-2022)
  • Table 116. Canada Automotive Data Analytics -, by End-user USD Million (2017-2022)
  • Table 117. Mexico Automotive Data Analytics -, by Application USD Million (2017-2022)
  • Table 118. Mexico Automotive Data Analytics -, by Components USD Million (2017-2022)
  • Table 119. Mexico Automotive Data Analytics -, by Deployment USD Million (2017-2022)
  • Table 120. Mexico Automotive Data Analytics -, by End-user USD Million (2017-2022)
  • Table 121. Company Basic Information, Sales Area and Its Competitors
  • Table 122. Company Basic Information, Sales Area and Its Competitors
  • Table 123. Company Basic Information, Sales Area and Its Competitors
  • Table 124. Company Basic Information, Sales Area and Its Competitors
  • Table 125. Company Basic Information, Sales Area and Its Competitors
  • Table 126. Company Basic Information, Sales Area and Its Competitors
  • Table 127. Company Basic Information, Sales Area and Its Competitors
  • 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. Automotive Data Analytics -: by Application(USD Million)
  • Table 137. Automotive Data Analytics - Inventory Management , by Region USD Million (2023-2028)
  • Table 138. Automotive Data Analytics - Predictive Analytics , by Region USD Million (2023-2028)
  • Table 139. Automotive Data Analytics - Customer Behavior Analytics , by Region USD Million (2023-2028)
  • Table 140. Automotive Data Analytics - Marketing Spend Management , by Region USD Million (2023-2028)
  • Table 141. Automotive Data Analytics - Others , by Region USD Million (2023-2028)
  • Table 142. Automotive Data Analytics -: by Components(USD Million)
  • Table 143. Automotive Data Analytics - Solutions , by Region USD Million (2023-2028)
  • Table 144. Automotive Data Analytics - Services , by Region USD Million (2023-2028)
  • Table 145. Automotive Data Analytics -: by Deployment(USD Million)
  • Table 146. Automotive Data Analytics - Cloud , by Region USD Million (2023-2028)
  • Table 147. Automotive Data Analytics - On-premises , by Region USD Million (2023-2028)
  • Table 148. Automotive Data Analytics -: by End-user(USD Million)
  • Table 149. Automotive Data Analytics - Automakers , by Region USD Million (2023-2028)
  • Table 150. Automotive Data Analytics - Dealers , by Region USD Million (2023-2028)
  • Table 151. South America Automotive Data Analytics -, by Country USD Million (2023-2028)
  • Table 152. South America Automotive Data Analytics -, by Application USD Million (2023-2028)
  • Table 153. South America Automotive Data Analytics -, by Components USD Million (2023-2028)
  • Table 154. South America Automotive Data Analytics -, by Deployment USD Million (2023-2028)
  • Table 155. South America Automotive Data Analytics -, by End-user USD Million (2023-2028)
  • Table 156. Brazil Automotive Data Analytics -, by Application USD Million (2023-2028)
  • Table 157. Brazil Automotive Data Analytics -, by Components USD Million (2023-2028)
  • Table 158. Brazil Automotive Data Analytics -, by Deployment USD Million (2023-2028)
  • Table 159. Brazil Automotive Data Analytics -, by End-user USD Million (2023-2028)
  • Table 160. Argentina Automotive Data Analytics -, by Application USD Million (2023-2028)
  • Table 161. Argentina Automotive Data Analytics -, by Components USD Million (2023-2028)
  • Table 162. Argentina Automotive Data Analytics -, by Deployment USD Million (2023-2028)
  • Table 163. Argentina Automotive Data Analytics -, by End-user USD Million (2023-2028)
  • Table 164. Rest of South America Automotive Data Analytics -, by Application USD Million (2023-2028)
  • Table 165. Rest of South America Automotive Data Analytics -, by Components USD Million (2023-2028)
  • Table 166. Rest of South America Automotive Data Analytics -, by Deployment USD Million (2023-2028)
  • Table 167. Rest of South America Automotive Data Analytics -, by End-user USD Million (2023-2028)
  • Table 168. Asia Pacific Automotive Data Analytics -, by Country USD Million (2023-2028)
  • Table 169. Asia Pacific Automotive Data Analytics -, by Application USD Million (2023-2028)
  • Table 170. Asia Pacific Automotive Data Analytics -, by Components USD Million (2023-2028)
  • Table 171. Asia Pacific Automotive Data Analytics -, by Deployment USD Million (2023-2028)
  • Table 172. Asia Pacific Automotive Data Analytics -, by End-user USD Million (2023-2028)
  • Table 173. China Automotive Data Analytics -, by Application USD Million (2023-2028)
  • Table 174. China Automotive Data Analytics -, by Components USD Million (2023-2028)
  • Table 175. China Automotive Data Analytics -, by Deployment USD Million (2023-2028)
  • Table 176. China Automotive Data Analytics -, by End-user USD Million (2023-2028)
  • Table 177. Japan Automotive Data Analytics -, by Application USD Million (2023-2028)
  • Table 178. Japan Automotive Data Analytics -, by Components USD Million (2023-2028)
  • Table 179. Japan Automotive Data Analytics -, by Deployment USD Million (2023-2028)
  • Table 180. Japan Automotive Data Analytics -, by End-user USD Million (2023-2028)
  • Table 181. India Automotive Data Analytics -, by Application USD Million (2023-2028)
  • Table 182. India Automotive Data Analytics -, by Components USD Million (2023-2028)
  • Table 183. India Automotive Data Analytics -, by Deployment USD Million (2023-2028)
  • Table 184. India Automotive Data Analytics -, by End-user USD Million (2023-2028)
  • Table 185. South Korea Automotive Data Analytics -, by Application USD Million (2023-2028)
  • Table 186. South Korea Automotive Data Analytics -, by Components USD Million (2023-2028)
  • Table 187. South Korea Automotive Data Analytics -, by Deployment USD Million (2023-2028)
  • Table 188. South Korea Automotive Data Analytics -, by End-user USD Million (2023-2028)
  • Table 189. Australia Automotive Data Analytics -, by Application USD Million (2023-2028)
  • Table 190. Australia Automotive Data Analytics -, by Components USD Million (2023-2028)
  • Table 191. Australia Automotive Data Analytics -, by Deployment USD Million (2023-2028)
  • Table 192. Australia Automotive Data Analytics -, by End-user USD Million (2023-2028)
  • Table 193. Rest of Asia-Pacific Automotive Data Analytics -, by Application USD Million (2023-2028)
  • Table 194. Rest of Asia-Pacific Automotive Data Analytics -, by Components USD Million (2023-2028)
  • Table 195. Rest of Asia-Pacific Automotive Data Analytics -, by Deployment USD Million (2023-2028)
  • Table 196. Rest of Asia-Pacific Automotive Data Analytics -, by End-user USD Million (2023-2028)
  • Table 197. Europe Automotive Data Analytics -, by Country USD Million (2023-2028)
  • Table 198. Europe Automotive Data Analytics -, by Application USD Million (2023-2028)
  • Table 199. Europe Automotive Data Analytics -, by Components USD Million (2023-2028)
  • Table 200. Europe Automotive Data Analytics -, by Deployment USD Million (2023-2028)
  • Table 201. Europe Automotive Data Analytics -, by End-user USD Million (2023-2028)
  • Table 202. Germany Automotive Data Analytics -, by Application USD Million (2023-2028)
  • Table 203. Germany Automotive Data Analytics -, by Components USD Million (2023-2028)
  • Table 204. Germany Automotive Data Analytics -, by Deployment USD Million (2023-2028)
  • Table 205. Germany Automotive Data Analytics -, by End-user USD Million (2023-2028)
  • Table 206. France Automotive Data Analytics -, by Application USD Million (2023-2028)
  • Table 207. France Automotive Data Analytics -, by Components USD Million (2023-2028)
  • Table 208. France Automotive Data Analytics -, by Deployment USD Million (2023-2028)
  • Table 209. France Automotive Data Analytics -, by End-user USD Million (2023-2028)
  • Table 210. Italy Automotive Data Analytics -, by Application USD Million (2023-2028)
  • Table 211. Italy Automotive Data Analytics -, by Components USD Million (2023-2028)
  • Table 212. Italy Automotive Data Analytics -, by Deployment USD Million (2023-2028)
  • Table 213. Italy Automotive Data Analytics -, by End-user USD Million (2023-2028)
  • Table 214. United Kingdom Automotive Data Analytics -, by Application USD Million (2023-2028)
  • Table 215. United Kingdom Automotive Data Analytics -, by Components USD Million (2023-2028)
  • Table 216. United Kingdom Automotive Data Analytics -, by Deployment USD Million (2023-2028)
  • Table 217. United Kingdom Automotive Data Analytics -, by End-user USD Million (2023-2028)
  • Table 218. Netherlands Automotive Data Analytics -, by Application USD Million (2023-2028)
  • Table 219. Netherlands Automotive Data Analytics -, by Components USD Million (2023-2028)
  • Table 220. Netherlands Automotive Data Analytics -, by Deployment USD Million (2023-2028)
  • Table 221. Netherlands Automotive Data Analytics -, by End-user USD Million (2023-2028)
  • Table 222. Rest of Europe Automotive Data Analytics -, by Application USD Million (2023-2028)
  • Table 223. Rest of Europe Automotive Data Analytics -, by Components USD Million (2023-2028)
  • Table 224. Rest of Europe Automotive Data Analytics -, by Deployment USD Million (2023-2028)
  • Table 225. Rest of Europe Automotive Data Analytics -, by End-user USD Million (2023-2028)
  • Table 226. MEA Automotive Data Analytics -, by Country USD Million (2023-2028)
  • Table 227. MEA Automotive Data Analytics -, by Application USD Million (2023-2028)
  • Table 228. MEA Automotive Data Analytics -, by Components USD Million (2023-2028)
  • Table 229. MEA Automotive Data Analytics -, by Deployment USD Million (2023-2028)
  • Table 230. MEA Automotive Data Analytics -, by End-user USD Million (2023-2028)
  • Table 231. Middle East Automotive Data Analytics -, by Application USD Million (2023-2028)
  • Table 232. Middle East Automotive Data Analytics -, by Components USD Million (2023-2028)
  • Table 233. Middle East Automotive Data Analytics -, by Deployment USD Million (2023-2028)
  • Table 234. Middle East Automotive Data Analytics -, by End-user USD Million (2023-2028)
  • Table 235. Africa Automotive Data Analytics -, by Application USD Million (2023-2028)
  • Table 236. Africa Automotive Data Analytics -, by Components USD Million (2023-2028)
  • Table 237. Africa Automotive Data Analytics -, by Deployment USD Million (2023-2028)
  • Table 238. Africa Automotive Data Analytics -, by End-user USD Million (2023-2028)
  • Table 239. North America Automotive Data Analytics -, by Country USD Million (2023-2028)
  • Table 240. North America Automotive Data Analytics -, by Application USD Million (2023-2028)
  • Table 241. North America Automotive Data Analytics -, by Components USD Million (2023-2028)
  • Table 242. North America Automotive Data Analytics -, by Deployment USD Million (2023-2028)
  • Table 243. North America Automotive Data Analytics -, by End-user USD Million (2023-2028)
  • Table 244. United States Automotive Data Analytics -, by Application USD Million (2023-2028)
  • Table 245. United States Automotive Data Analytics -, by Components USD Million (2023-2028)
  • Table 246. United States Automotive Data Analytics -, by Deployment USD Million (2023-2028)
  • Table 247. United States Automotive Data Analytics -, by End-user USD Million (2023-2028)
  • Table 248. Canada Automotive Data Analytics -, by Application USD Million (2023-2028)
  • Table 249. Canada Automotive Data Analytics -, by Components USD Million (2023-2028)
  • Table 250. Canada Automotive Data Analytics -, by Deployment USD Million (2023-2028)
  • Table 251. Canada Automotive Data Analytics -, by End-user USD Million (2023-2028)
  • Table 252. Mexico Automotive Data Analytics -, by Application USD Million (2023-2028)
  • Table 253. Mexico Automotive Data Analytics -, by Components USD Million (2023-2028)
  • Table 254. Mexico Automotive Data Analytics -, by Deployment USD Million (2023-2028)
  • Table 255. Mexico Automotive Data Analytics -, by End-user USD Million (2023-2028)
  • Table 256. Research Programs/Design for This Report
  • Table 257. Key Data Information from Secondary Sources
  • Table 258. 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 Automotive Data Analytics -: by Application USD Million (2017-2022)
  • Figure 5. Global Automotive Data Analytics -: by Components USD Million (2017-2022)
  • Figure 6. Global Automotive Data Analytics -: by Deployment USD Million (2017-2022)
  • Figure 7. Global Automotive Data Analytics -: by End-user USD Million (2017-2022)
  • Figure 8. South America Automotive Data Analytics - Share (%), by Country
  • Figure 9. Asia Pacific Automotive Data Analytics - Share (%), by Country
  • Figure 10. Europe Automotive Data Analytics - Share (%), by Country
  • Figure 11. MEA Automotive Data Analytics - Share (%), by Country
  • Figure 12. North America Automotive Data Analytics - Share (%), by Country
  • Figure 13. Global Automotive Data Analytics - share by Players 2022 (%)
  • Figure 14. Global Automotive Data Analytics - share by Players (Top 3) 2022(%)
  • Figure 15. Global Automotive Data Analytics - share by Players (Top 5) 2022(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. N-iX (Ukraine) Revenue, Net Income and Gross profit
  • Figure 18. N-iX (Ukraine) Revenue: by Geography 2022
  • Figure 19. Data Reply (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 20. Data Reply (United Kingdom) Revenue: by Geography 2022
  • Figure 21. Phocas Software (Australia) Revenue, Net Income and Gross profit
  • Figure 22. Phocas Software (Australia) Revenue: by Geography 2022
  • Figure 23. Softweb Solutions (United States) Revenue, Net Income and Gross profit
  • Figure 24. Softweb Solutions (United States) Revenue: by Geography 2022
  • Figure 25. DBi Data Business Intelligence (Spain) Revenue, Net Income and Gross profit
  • Figure 26. DBi Data Business Intelligence (Spain) Revenue: by Geography 2022
  • Figure 27. OmniSci, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 28. OmniSci, Inc. (United States) Revenue: by Geography 2022
  • Figure 29. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 30. IBM (United States) Revenue: by Geography 2022
  • Figure 31. Dataiku (United States) Revenue, Net Income and Gross profit
  • Figure 32. Dataiku (United States) Revenue: by Geography 2022
  • Figure 33. Oracle Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 34. Oracle Corporation (United States) Revenue: by Geography 2022
  • Figure 35. Mayato (Germany) Revenue, Net Income and Gross profit
  • Figure 36. Mayato (Germany) Revenue: by Geography 2022
  • Figure 37. QBurst (India) Revenue, Net Income and Gross profit
  • Figure 38. QBurst (India) Revenue: by Geography 2022
  • Figure 39. Teradata (United States) Revenue, Net Income and Gross profit
  • Figure 40. Teradata (United States) Revenue: by Geography 2022
  • Figure 41. RapidMiner (United States) Revenue, Net Income and Gross profit
  • Figure 42. RapidMiner (United States) Revenue: by Geography 2022
  • Figure 43. Infosys (India) Revenue, Net Income and Gross profit
  • Figure 44. Infosys (India) Revenue: by Geography 2022
  • Figure 45. Grape Up (United States) Revenue, Net Income and Gross profit
  • Figure 46. Grape Up (United States) Revenue: by Geography 2022
  • Figure 47. Global Automotive Data Analytics -: by Application USD Million (2023-2028)
  • Figure 48. Global Automotive Data Analytics -: by Components USD Million (2023-2028)
  • Figure 49. Global Automotive Data Analytics -: by Deployment USD Million (2023-2028)
  • Figure 50. Global Automotive Data Analytics -: by End-user USD Million (2023-2028)
  • Figure 51. South America Automotive Data Analytics - Share (%), by Country
  • Figure 52. Asia Pacific Automotive Data Analytics - Share (%), by Country
  • Figure 53. Europe Automotive Data Analytics - Share (%), by Country
  • Figure 54. MEA Automotive Data Analytics - Share (%), by Country
  • Figure 55. North America Automotive Data Analytics - Share (%), by Country
List of companies from research coverage that are profiled in the study
  • N-iX (Ukraine)
  • Data Reply (United Kingdom)
  • Phocas Software (Australia)
  • Softweb Solutions (United States)
  • DBi Data Business Intelligence (Spain)
  • OmniSci, Inc. (United States)
  • IBM (United States)
  • Dataiku (United States)
  • Oracle Corporation (United States)
  • Mayato (Germany)
  • QBurst (India)
  • Teradata (United States)
  • RapidMiner (United States)
  • Infosys (India)
  • Grape Up (United States)
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Key Highlights of Report


Jun 2023 210 Pages 67 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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"Surging Demand of Predictive Analytics in the Automotive Industry to Analyze Performance of Vehicle and Aftermarket Services " is seen as one of major growth factors of Automotive Data Analytics - Market in years to come.
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