Global Big Data in Automotive
Global Big Data in Automotive

Big Data in Automotive Comprehensive Study by Application (Research & Development, Manufacturing, Procurement, Supply Chain Management, Marketing, Transportation & Distribution, Sales & Service, Aftermarket, Customer Behavior Analytics), Data type (Structured, Unstructured, Semi-Structured), Software deployment type (Cloud, On premise), Component (Software, Services) Players and Region - Global Market Outlook to 2025

Big Data in Automotive Market Segmented into XX Submarkets. | Forecast Years: 2020- 2025  

Sep 2020 Edition 217 Pages 212 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Scope of the Study

Big data analytics in automotive industry is helping the manufacturers to increase the efficiency in marketing as well as sales. It has improved the working by incorporating utilities like predictive maintenance. The big data analytics is helping the automotive industry in various departments such as design and production, supply chain improvements, and automobile financing. For instance, data related to real world driving experience is allowing the manufacturers to improve parameters like safety, fuel economy, engine efficiency, and battery power in automobiles. In supply chain, the company can compare cost, reliability and quality of concerned product components and machinery using big data.

The market study is being classified, by Application (Research & Development, Manufacturing, Procurement, Supply Chain Management, Marketing, Transportation & Distribution, Sales & Service, Aftermarket and Customer Behavior Analytics) and major geographies with country level break-up.

Accenture (Ireland), HCL Technologies Limited (India), IBM Corporation (United States), Infosys Limited (India), LHP Engineering Solutions (United States), Adobe Systems Inc. (United States), Allerin Tech Pvt Ltd (New Zealand), Auriga, Inc. (United States), Capgemini SE (France), Dataiku (United States), Deloitte Touche Tohmatsu Limited (United States), DXC Technology (United States) and Happiest Minds (India) are some of the key players profiled in the study.

The companies are now exploring the market by adopting mergers & acquisitions, expansions, investments, new developments in existing products and collaborations as their preferred strategies. The players are also exploring new geographies and industries through expansions and acquisitions so as to avail a competitive advantage through combined synergies. Research Analyst at AMA predicts that United States Players will contribute to the maximum growth of Global Big Data in Automotive market throughout the predicted period.

Segment Analysis
AdvanceMarketAnalytics has segmented the market of Global Big Data in Automotive market by Type, Application and Region.

On the basis of geography, the market of Big Data in Automotive 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). Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Market Drivers
  • Benefits of Big Data Analytics Such as Operational Efficiency is Fuelling the Market
  • Usage of Smart Technologies Such as Sensors, Advanced Processors, and Others are Generating Data

Market Trend
  • Increasing Demand of Machine Learning in Various Industries

Restraints
  • Inability to Manage Huge Amount of Data Effectively

Opportunities
  • Increasing Dependencies by Enterprises on Big Data
  • Growing Importance of Big Data for Designing and Manufacturing Processes

Challenges
  • Lack of Skilled Professionals with Technical Skills


Market Leaders and their expansionary development strategies
In July 2020, IBM has acquired WDG Automation which designs and develops robotic process automation (RPA), intelligent virtual agents (IVA) and artificial intelligence software.
On October 2019, Fujitsu Limited has announced that it will launch a new stream data processing platform for service providers for maximising the use of big data collected from connected cars. It facilitates simple and efficient automotive big data analysis by leveraging Fujitsu's data processing technology.


Key Target Audience
Automobile manufacturers, Software vendors, Government associations, Research organisations and Others

Customization in the Report Available:
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.
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**
** Confirmation on availability of data would be informed prior purchase
Report Objectives / Segmentation Covered
By Application
  • Research & Development
  • Manufacturing
  • Procurement
  • Supply Chain Management
  • Marketing
  • Transportation & Distribution
  • Sales & Service
  • Aftermarket
  • Customer Behavior Analytics
By Data type
  • Structured
  • Unstructured
  • Semi-Structured

By Software deployment type
  • Cloud
  • On premise

By Component
  • Software
  • 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. Benefits of Big Data Analytics Such as Operational Efficiency is Fuelling the Market
      • 3.2.2. Usage of Smart Technologies Such as Sensors, Advanced Processors, and Others are Generating Data
    • 3.3. Market Challenges
      • 3.3.1. Lack of Skilled Professionals with Technical Skills
    • 3.4. Market Trends
      • 3.4.1. Increasing Demand of Machine Learning in Various Industries
  • 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 Big Data in Automotive, by Application, Data type, Software deployment type, Component and Region (value) (2014-2019)
    • 5.1. Introduction
    • 5.2. Global Big Data in Automotive (Value)
      • 5.2.1. Global Big Data in Automotive by: Application (Value)
        • 5.2.1.1. Research & Development
        • 5.2.1.2. Manufacturing
        • 5.2.1.3. Procurement
        • 5.2.1.4. Supply Chain Management
        • 5.2.1.5. Marketing
        • 5.2.1.6. Transportation & Distribution
        • 5.2.1.7. Sales & Service
        • 5.2.1.8. Aftermarket
        • 5.2.1.9. Customer Behavior Analytics
      • 5.2.2. Global Big Data in Automotive by: Data type (Value)
        • 5.2.2.1. Structured
        • 5.2.2.2. Unstructured
        • 5.2.2.3. Semi-Structured
      • 5.2.3. Global Big Data in Automotive by: Software deployment type (Value)
        • 5.2.3.1. Cloud
        • 5.2.3.2. On premise
      • 5.2.4. Global Big Data in Automotive by: Component (Value)
        • 5.2.4.1. Software
        • 5.2.4.2. Services
      • 5.2.5. Global Big Data in Automotive 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. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. 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
  • 6. Big Data in Automotive: 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 (2019)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Accenture (Ireland)
        • 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. HCL Technologies Limited (India)
        • 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. IBM Corporation (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. Infosys Limited (India)
        • 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. LHP Engineering Solutions (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. Adobe Systems 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. Allerin Tech Pvt Ltd (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. Auriga, Inc. (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. Capgemini SE (France)
        • 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. Dataiku (United States)
        • 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. Deloitte Touche Tohmatsu Limited (United States)
        • 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. DXC Technology (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. Happiest Minds (India)
        • 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
  • 7. Global Big Data in Automotive Sale, by Application, Data type, Software deployment type, Component and Region (value) (2020-2025)
    • 7.1. Introduction
    • 7.2. Global Big Data in Automotive (Value)
      • 7.2.1. Global Big Data in Automotive by: Application (Value)
        • 7.2.1.1. Research & Development
        • 7.2.1.2. Manufacturing
        • 7.2.1.3. Procurement
        • 7.2.1.4. Supply Chain Management
        • 7.2.1.5. Marketing
        • 7.2.1.6. Transportation & Distribution
        • 7.2.1.7. Sales & Service
        • 7.2.1.8. Aftermarket
        • 7.2.1.9. Customer Behavior Analytics
      • 7.2.2. Global Big Data in Automotive by: Data type (Value)
        • 7.2.2.1. Structured
        • 7.2.2.2. Unstructured
        • 7.2.2.3. Semi-Structured
      • 7.2.3. Global Big Data in Automotive by: Software deployment type (Value)
        • 7.2.3.1. Cloud
        • 7.2.3.2. On premise
      • 7.2.4. Global Big Data in Automotive by: Component (Value)
        • 7.2.4.1. Software
        • 7.2.4.2. Services
      • 7.2.5. Global Big Data in Automotive 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. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. 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
  • 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. Big Data in Automotive: by Application(USD Million)
  • Table 2. Big Data in Automotive Research & Development , by Region USD Million (2014-2019)
  • Table 3. Big Data in Automotive Manufacturing , by Region USD Million (2014-2019)
  • Table 4. Big Data in Automotive Procurement , by Region USD Million (2014-2019)
  • Table 5. Big Data in Automotive Supply Chain Management , by Region USD Million (2014-2019)
  • Table 6. Big Data in Automotive Marketing , by Region USD Million (2014-2019)
  • Table 7. Big Data in Automotive Transportation & Distribution , by Region USD Million (2014-2019)
  • Table 8. Big Data in Automotive Sales & Service , by Region USD Million (2014-2019)
  • Table 9. Big Data in Automotive Aftermarket , by Region USD Million (2014-2019)
  • Table 10. Big Data in Automotive Customer Behavior Analytics , by Region USD Million (2014-2019)
  • Table 11. Big Data in Automotive: by Data type(USD Million)
  • Table 12. Big Data in Automotive Structured , by Region USD Million (2014-2019)
  • Table 13. Big Data in Automotive Unstructured , by Region USD Million (2014-2019)
  • Table 14. Big Data in Automotive Semi-Structured , by Region USD Million (2014-2019)
  • Table 15. Big Data in Automotive: by Software deployment type(USD Million)
  • Table 16. Big Data in Automotive Cloud , by Region USD Million (2014-2019)
  • Table 17. Big Data in Automotive On premise , by Region USD Million (2014-2019)
  • Table 18. Big Data in Automotive: by Component(USD Million)
  • Table 19. Big Data in Automotive Software , by Region USD Million (2014-2019)
  • Table 20. Big Data in Automotive Services , by Region USD Million (2014-2019)
  • Table 21. South America Big Data in Automotive, by Country USD Million (2014-2019)
  • Table 22. South America Big Data in Automotive, by Application USD Million (2014-2019)
  • Table 23. South America Big Data in Automotive, by Data type USD Million (2014-2019)
  • Table 24. South America Big Data in Automotive, by Software deployment type USD Million (2014-2019)
  • Table 25. South America Big Data in Automotive, by Component USD Million (2014-2019)
  • Table 26. Brazil Big Data in Automotive, by Application USD Million (2014-2019)
  • Table 27. Brazil Big Data in Automotive, by Data type USD Million (2014-2019)
  • Table 28. Brazil Big Data in Automotive, by Software deployment type USD Million (2014-2019)
  • Table 29. Brazil Big Data in Automotive, by Component USD Million (2014-2019)
  • Table 30. Argentina Big Data in Automotive, by Application USD Million (2014-2019)
  • Table 31. Argentina Big Data in Automotive, by Data type USD Million (2014-2019)
  • Table 32. Argentina Big Data in Automotive, by Software deployment type USD Million (2014-2019)
  • Table 33. Argentina Big Data in Automotive, by Component USD Million (2014-2019)
  • Table 34. Rest of South America Big Data in Automotive, by Application USD Million (2014-2019)
  • Table 35. Rest of South America Big Data in Automotive, by Data type USD Million (2014-2019)
  • Table 36. Rest of South America Big Data in Automotive, by Software deployment type USD Million (2014-2019)
  • Table 37. Rest of South America Big Data in Automotive, by Component USD Million (2014-2019)
  • Table 38. Asia Pacific Big Data in Automotive, by Country USD Million (2014-2019)
  • Table 39. Asia Pacific Big Data in Automotive, by Application USD Million (2014-2019)
  • Table 40. Asia Pacific Big Data in Automotive, by Data type USD Million (2014-2019)
  • Table 41. Asia Pacific Big Data in Automotive, by Software deployment type USD Million (2014-2019)
  • Table 42. Asia Pacific Big Data in Automotive, by Component USD Million (2014-2019)
  • Table 43. China Big Data in Automotive, by Application USD Million (2014-2019)
  • Table 44. China Big Data in Automotive, by Data type USD Million (2014-2019)
  • Table 45. China Big Data in Automotive, by Software deployment type USD Million (2014-2019)
  • Table 46. China Big Data in Automotive, by Component USD Million (2014-2019)
  • Table 47. Japan Big Data in Automotive, by Application USD Million (2014-2019)
  • Table 48. Japan Big Data in Automotive, by Data type USD Million (2014-2019)
  • Table 49. Japan Big Data in Automotive, by Software deployment type USD Million (2014-2019)
  • Table 50. Japan Big Data in Automotive, by Component USD Million (2014-2019)
  • Table 51. India Big Data in Automotive, by Application USD Million (2014-2019)
  • Table 52. India Big Data in Automotive, by Data type USD Million (2014-2019)
  • Table 53. India Big Data in Automotive, by Software deployment type USD Million (2014-2019)
  • Table 54. India Big Data in Automotive, by Component USD Million (2014-2019)
  • Table 55. South Korea Big Data in Automotive, by Application USD Million (2014-2019)
  • Table 56. South Korea Big Data in Automotive, by Data type USD Million (2014-2019)
  • Table 57. South Korea Big Data in Automotive, by Software deployment type USD Million (2014-2019)
  • Table 58. South Korea Big Data in Automotive, by Component USD Million (2014-2019)
  • Table 59. Taiwan Big Data in Automotive, by Application USD Million (2014-2019)
  • Table 60. Taiwan Big Data in Automotive, by Data type USD Million (2014-2019)
  • Table 61. Taiwan Big Data in Automotive, by Software deployment type USD Million (2014-2019)
  • Table 62. Taiwan Big Data in Automotive, by Component USD Million (2014-2019)
  • Table 63. Australia Big Data in Automotive, by Application USD Million (2014-2019)
  • Table 64. Australia Big Data in Automotive, by Data type USD Million (2014-2019)
  • Table 65. Australia Big Data in Automotive, by Software deployment type USD Million (2014-2019)
  • Table 66. Australia Big Data in Automotive, by Component USD Million (2014-2019)
  • Table 67. Rest of Asia-Pacific Big Data in Automotive, by Application USD Million (2014-2019)
  • Table 68. Rest of Asia-Pacific Big Data in Automotive, by Data type USD Million (2014-2019)
  • Table 69. Rest of Asia-Pacific Big Data in Automotive, by Software deployment type USD Million (2014-2019)
  • Table 70. Rest of Asia-Pacific Big Data in Automotive, by Component USD Million (2014-2019)
  • Table 71. Europe Big Data in Automotive, by Country USD Million (2014-2019)
  • Table 72. Europe Big Data in Automotive, by Application USD Million (2014-2019)
  • Table 73. Europe Big Data in Automotive, by Data type USD Million (2014-2019)
  • Table 74. Europe Big Data in Automotive, by Software deployment type USD Million (2014-2019)
  • Table 75. Europe Big Data in Automotive, by Component USD Million (2014-2019)
  • Table 76. Germany Big Data in Automotive, by Application USD Million (2014-2019)
  • Table 77. Germany Big Data in Automotive, by Data type USD Million (2014-2019)
  • Table 78. Germany Big Data in Automotive, by Software deployment type USD Million (2014-2019)
  • Table 79. Germany Big Data in Automotive, by Component USD Million (2014-2019)
  • Table 80. France Big Data in Automotive, by Application USD Million (2014-2019)
  • Table 81. France Big Data in Automotive, by Data type USD Million (2014-2019)
  • Table 82. France Big Data in Automotive, by Software deployment type USD Million (2014-2019)
  • Table 83. France Big Data in Automotive, by Component USD Million (2014-2019)
  • Table 84. Italy Big Data in Automotive, by Application USD Million (2014-2019)
  • Table 85. Italy Big Data in Automotive, by Data type USD Million (2014-2019)
  • Table 86. Italy Big Data in Automotive, by Software deployment type USD Million (2014-2019)
  • Table 87. Italy Big Data in Automotive, by Component USD Million (2014-2019)
  • Table 88. United Kingdom Big Data in Automotive, by Application USD Million (2014-2019)
  • Table 89. United Kingdom Big Data in Automotive, by Data type USD Million (2014-2019)
  • Table 90. United Kingdom Big Data in Automotive, by Software deployment type USD Million (2014-2019)
  • Table 91. United Kingdom Big Data in Automotive, by Component USD Million (2014-2019)
  • Table 92. Netherlands Big Data in Automotive, by Application USD Million (2014-2019)
  • Table 93. Netherlands Big Data in Automotive, by Data type USD Million (2014-2019)
  • Table 94. Netherlands Big Data in Automotive, by Software deployment type USD Million (2014-2019)
  • Table 95. Netherlands Big Data in Automotive, by Component USD Million (2014-2019)
  • Table 96. Rest of Europe Big Data in Automotive, by Application USD Million (2014-2019)
  • Table 97. Rest of Europe Big Data in Automotive, by Data type USD Million (2014-2019)
  • Table 98. Rest of Europe Big Data in Automotive, by Software deployment type USD Million (2014-2019)
  • Table 99. Rest of Europe Big Data in Automotive, by Component USD Million (2014-2019)
  • Table 100. MEA Big Data in Automotive, by Country USD Million (2014-2019)
  • Table 101. MEA Big Data in Automotive, by Application USD Million (2014-2019)
  • Table 102. MEA Big Data in Automotive, by Data type USD Million (2014-2019)
  • Table 103. MEA Big Data in Automotive, by Software deployment type USD Million (2014-2019)
  • Table 104. MEA Big Data in Automotive, by Component USD Million (2014-2019)
  • Table 105. Middle East Big Data in Automotive, by Application USD Million (2014-2019)
  • Table 106. Middle East Big Data in Automotive, by Data type USD Million (2014-2019)
  • Table 107. Middle East Big Data in Automotive, by Software deployment type USD Million (2014-2019)
  • Table 108. Middle East Big Data in Automotive, by Component USD Million (2014-2019)
  • Table 109. Africa Big Data in Automotive, by Application USD Million (2014-2019)
  • Table 110. Africa Big Data in Automotive, by Data type USD Million (2014-2019)
  • Table 111. Africa Big Data in Automotive, by Software deployment type USD Million (2014-2019)
  • Table 112. Africa Big Data in Automotive, by Component USD Million (2014-2019)
  • Table 113. North America Big Data in Automotive, by Country USD Million (2014-2019)
  • Table 114. North America Big Data in Automotive, by Application USD Million (2014-2019)
  • Table 115. North America Big Data in Automotive, by Data type USD Million (2014-2019)
  • Table 116. North America Big Data in Automotive, by Software deployment type USD Million (2014-2019)
  • Table 117. North America Big Data in Automotive, by Component USD Million (2014-2019)
  • Table 118. United States Big Data in Automotive, by Application USD Million (2014-2019)
  • Table 119. United States Big Data in Automotive, by Data type USD Million (2014-2019)
  • Table 120. United States Big Data in Automotive, by Software deployment type USD Million (2014-2019)
  • Table 121. United States Big Data in Automotive, by Component USD Million (2014-2019)
  • Table 122. Canada Big Data in Automotive, by Application USD Million (2014-2019)
  • Table 123. Canada Big Data in Automotive, by Data type USD Million (2014-2019)
  • Table 124. Canada Big Data in Automotive, by Software deployment type USD Million (2014-2019)
  • Table 125. Canada Big Data in Automotive, by Component USD Million (2014-2019)
  • Table 126. Mexico Big Data in Automotive, by Application USD Million (2014-2019)
  • Table 127. Mexico Big Data in Automotive, by Data type USD Million (2014-2019)
  • Table 128. Mexico Big Data in Automotive, by Software deployment type USD Million (2014-2019)
  • Table 129. Mexico Big Data in Automotive, by Component USD Million (2014-2019)
  • 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. Company Basic Information, Sales Area and Its Competitors
  • Table 140. Company Basic Information, Sales Area and Its Competitors
  • Table 141. Company Basic Information, Sales Area and Its Competitors
  • Table 142. Company Basic Information, Sales Area and Its Competitors
  • Table 143. Big Data in Automotive: by Application(USD Million)
  • Table 144. Big Data in Automotive Research & Development , by Region USD Million (2020-2025)
  • Table 145. Big Data in Automotive Manufacturing , by Region USD Million (2020-2025)
  • Table 146. Big Data in Automotive Procurement , by Region USD Million (2020-2025)
  • Table 147. Big Data in Automotive Supply Chain Management , by Region USD Million (2020-2025)
  • Table 148. Big Data in Automotive Marketing , by Region USD Million (2020-2025)
  • Table 149. Big Data in Automotive Transportation & Distribution , by Region USD Million (2020-2025)
  • Table 150. Big Data in Automotive Sales & Service , by Region USD Million (2020-2025)
  • Table 151. Big Data in Automotive Aftermarket , by Region USD Million (2020-2025)
  • Table 152. Big Data in Automotive Customer Behavior Analytics , by Region USD Million (2020-2025)
  • Table 153. Big Data in Automotive: by Data type(USD Million)
  • Table 154. Big Data in Automotive Structured , by Region USD Million (2020-2025)
  • Table 155. Big Data in Automotive Unstructured , by Region USD Million (2020-2025)
  • Table 156. Big Data in Automotive Semi-Structured , by Region USD Million (2020-2025)
  • Table 157. Big Data in Automotive: by Software deployment type(USD Million)
  • Table 158. Big Data in Automotive Cloud , by Region USD Million (2020-2025)
  • Table 159. Big Data in Automotive On premise , by Region USD Million (2020-2025)
  • Table 160. Big Data in Automotive: by Component(USD Million)
  • Table 161. Big Data in Automotive Software , by Region USD Million (2020-2025)
  • Table 162. Big Data in Automotive Services , by Region USD Million (2020-2025)
  • Table 163. South America Big Data in Automotive, by Country USD Million (2020-2025)
  • Table 164. South America Big Data in Automotive, by Application USD Million (2020-2025)
  • Table 165. South America Big Data in Automotive, by Data type USD Million (2020-2025)
  • Table 166. South America Big Data in Automotive, by Software deployment type USD Million (2020-2025)
  • Table 167. South America Big Data in Automotive, by Component USD Million (2020-2025)
  • Table 168. Brazil Big Data in Automotive, by Application USD Million (2020-2025)
  • Table 169. Brazil Big Data in Automotive, by Data type USD Million (2020-2025)
  • Table 170. Brazil Big Data in Automotive, by Software deployment type USD Million (2020-2025)
  • Table 171. Brazil Big Data in Automotive, by Component USD Million (2020-2025)
  • Table 172. Argentina Big Data in Automotive, by Application USD Million (2020-2025)
  • Table 173. Argentina Big Data in Automotive, by Data type USD Million (2020-2025)
  • Table 174. Argentina Big Data in Automotive, by Software deployment type USD Million (2020-2025)
  • Table 175. Argentina Big Data in Automotive, by Component USD Million (2020-2025)
  • Table 176. Rest of South America Big Data in Automotive, by Application USD Million (2020-2025)
  • Table 177. Rest of South America Big Data in Automotive, by Data type USD Million (2020-2025)
  • Table 178. Rest of South America Big Data in Automotive, by Software deployment type USD Million (2020-2025)
  • Table 179. Rest of South America Big Data in Automotive, by Component USD Million (2020-2025)
  • Table 180. Asia Pacific Big Data in Automotive, by Country USD Million (2020-2025)
  • Table 181. Asia Pacific Big Data in Automotive, by Application USD Million (2020-2025)
  • Table 182. Asia Pacific Big Data in Automotive, by Data type USD Million (2020-2025)
  • Table 183. Asia Pacific Big Data in Automotive, by Software deployment type USD Million (2020-2025)
  • Table 184. Asia Pacific Big Data in Automotive, by Component USD Million (2020-2025)
  • Table 185. China Big Data in Automotive, by Application USD Million (2020-2025)
  • Table 186. China Big Data in Automotive, by Data type USD Million (2020-2025)
  • Table 187. China Big Data in Automotive, by Software deployment type USD Million (2020-2025)
  • Table 188. China Big Data in Automotive, by Component USD Million (2020-2025)
  • Table 189. Japan Big Data in Automotive, by Application USD Million (2020-2025)
  • Table 190. Japan Big Data in Automotive, by Data type USD Million (2020-2025)
  • Table 191. Japan Big Data in Automotive, by Software deployment type USD Million (2020-2025)
  • Table 192. Japan Big Data in Automotive, by Component USD Million (2020-2025)
  • Table 193. India Big Data in Automotive, by Application USD Million (2020-2025)
  • Table 194. India Big Data in Automotive, by Data type USD Million (2020-2025)
  • Table 195. India Big Data in Automotive, by Software deployment type USD Million (2020-2025)
  • Table 196. India Big Data in Automotive, by Component USD Million (2020-2025)
  • Table 197. South Korea Big Data in Automotive, by Application USD Million (2020-2025)
  • Table 198. South Korea Big Data in Automotive, by Data type USD Million (2020-2025)
  • Table 199. South Korea Big Data in Automotive, by Software deployment type USD Million (2020-2025)
  • Table 200. South Korea Big Data in Automotive, by Component USD Million (2020-2025)
  • Table 201. Taiwan Big Data in Automotive, by Application USD Million (2020-2025)
  • Table 202. Taiwan Big Data in Automotive, by Data type USD Million (2020-2025)
  • Table 203. Taiwan Big Data in Automotive, by Software deployment type USD Million (2020-2025)
  • Table 204. Taiwan Big Data in Automotive, by Component USD Million (2020-2025)
  • Table 205. Australia Big Data in Automotive, by Application USD Million (2020-2025)
  • Table 206. Australia Big Data in Automotive, by Data type USD Million (2020-2025)
  • Table 207. Australia Big Data in Automotive, by Software deployment type USD Million (2020-2025)
  • Table 208. Australia Big Data in Automotive, by Component USD Million (2020-2025)
  • Table 209. Rest of Asia-Pacific Big Data in Automotive, by Application USD Million (2020-2025)
  • Table 210. Rest of Asia-Pacific Big Data in Automotive, by Data type USD Million (2020-2025)
  • Table 211. Rest of Asia-Pacific Big Data in Automotive, by Software deployment type USD Million (2020-2025)
  • Table 212. Rest of Asia-Pacific Big Data in Automotive, by Component USD Million (2020-2025)
  • Table 213. Europe Big Data in Automotive, by Country USD Million (2020-2025)
  • Table 214. Europe Big Data in Automotive, by Application USD Million (2020-2025)
  • Table 215. Europe Big Data in Automotive, by Data type USD Million (2020-2025)
  • Table 216. Europe Big Data in Automotive, by Software deployment type USD Million (2020-2025)
  • Table 217. Europe Big Data in Automotive, by Component USD Million (2020-2025)
  • Table 218. Germany Big Data in Automotive, by Application USD Million (2020-2025)
  • Table 219. Germany Big Data in Automotive, by Data type USD Million (2020-2025)
  • Table 220. Germany Big Data in Automotive, by Software deployment type USD Million (2020-2025)
  • Table 221. Germany Big Data in Automotive, by Component USD Million (2020-2025)
  • Table 222. France Big Data in Automotive, by Application USD Million (2020-2025)
  • Table 223. France Big Data in Automotive, by Data type USD Million (2020-2025)
  • Table 224. France Big Data in Automotive, by Software deployment type USD Million (2020-2025)
  • Table 225. France Big Data in Automotive, by Component USD Million (2020-2025)
  • Table 226. Italy Big Data in Automotive, by Application USD Million (2020-2025)
  • Table 227. Italy Big Data in Automotive, by Data type USD Million (2020-2025)
  • Table 228. Italy Big Data in Automotive, by Software deployment type USD Million (2020-2025)
  • Table 229. Italy Big Data in Automotive, by Component USD Million (2020-2025)
  • Table 230. United Kingdom Big Data in Automotive, by Application USD Million (2020-2025)
  • Table 231. United Kingdom Big Data in Automotive, by Data type USD Million (2020-2025)
  • Table 232. United Kingdom Big Data in Automotive, by Software deployment type USD Million (2020-2025)
  • Table 233. United Kingdom Big Data in Automotive, by Component USD Million (2020-2025)
  • Table 234. Netherlands Big Data in Automotive, by Application USD Million (2020-2025)
  • Table 235. Netherlands Big Data in Automotive, by Data type USD Million (2020-2025)
  • Table 236. Netherlands Big Data in Automotive, by Software deployment type USD Million (2020-2025)
  • Table 237. Netherlands Big Data in Automotive, by Component USD Million (2020-2025)
  • Table 238. Rest of Europe Big Data in Automotive, by Application USD Million (2020-2025)
  • Table 239. Rest of Europe Big Data in Automotive, by Data type USD Million (2020-2025)
  • Table 240. Rest of Europe Big Data in Automotive, by Software deployment type USD Million (2020-2025)
  • Table 241. Rest of Europe Big Data in Automotive, by Component USD Million (2020-2025)
  • Table 242. MEA Big Data in Automotive, by Country USD Million (2020-2025)
  • Table 243. MEA Big Data in Automotive, by Application USD Million (2020-2025)
  • Table 244. MEA Big Data in Automotive, by Data type USD Million (2020-2025)
  • Table 245. MEA Big Data in Automotive, by Software deployment type USD Million (2020-2025)
  • Table 246. MEA Big Data in Automotive, by Component USD Million (2020-2025)
  • Table 247. Middle East Big Data in Automotive, by Application USD Million (2020-2025)
  • Table 248. Middle East Big Data in Automotive, by Data type USD Million (2020-2025)
  • Table 249. Middle East Big Data in Automotive, by Software deployment type USD Million (2020-2025)
  • Table 250. Middle East Big Data in Automotive, by Component USD Million (2020-2025)
  • Table 251. Africa Big Data in Automotive, by Application USD Million (2020-2025)
  • Table 252. Africa Big Data in Automotive, by Data type USD Million (2020-2025)
  • Table 253. Africa Big Data in Automotive, by Software deployment type USD Million (2020-2025)
  • Table 254. Africa Big Data in Automotive, by Component USD Million (2020-2025)
  • Table 255. North America Big Data in Automotive, by Country USD Million (2020-2025)
  • Table 256. North America Big Data in Automotive, by Application USD Million (2020-2025)
  • Table 257. North America Big Data in Automotive, by Data type USD Million (2020-2025)
  • Table 258. North America Big Data in Automotive, by Software deployment type USD Million (2020-2025)
  • Table 259. North America Big Data in Automotive, by Component USD Million (2020-2025)
  • Table 260. United States Big Data in Automotive, by Application USD Million (2020-2025)
  • Table 261. United States Big Data in Automotive, by Data type USD Million (2020-2025)
  • Table 262. United States Big Data in Automotive, by Software deployment type USD Million (2020-2025)
  • Table 263. United States Big Data in Automotive, by Component USD Million (2020-2025)
  • Table 264. Canada Big Data in Automotive, by Application USD Million (2020-2025)
  • Table 265. Canada Big Data in Automotive, by Data type USD Million (2020-2025)
  • Table 266. Canada Big Data in Automotive, by Software deployment type USD Million (2020-2025)
  • Table 267. Canada Big Data in Automotive, by Component USD Million (2020-2025)
  • Table 268. Mexico Big Data in Automotive, by Application USD Million (2020-2025)
  • Table 269. Mexico Big Data in Automotive, by Data type USD Million (2020-2025)
  • Table 270. Mexico Big Data in Automotive, by Software deployment type USD Million (2020-2025)
  • Table 271. Mexico Big Data in Automotive, by Component USD Million (2020-2025)
  • Table 272. Research Programs/Design for This Report
  • Table 273. Key Data Information from Secondary Sources
  • Table 274. 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 Big Data in Automotive: by Application USD Million (2014-2019)
  • Figure 5. Global Big Data in Automotive: by Data type USD Million (2014-2019)
  • Figure 6. Global Big Data in Automotive: by Software deployment type USD Million (2014-2019)
  • Figure 7. Global Big Data in Automotive: by Component USD Million (2014-2019)
  • Figure 8. South America Big Data in Automotive Share (%), by Country
  • Figure 9. Asia Pacific Big Data in Automotive Share (%), by Country
  • Figure 10. Europe Big Data in Automotive Share (%), by Country
  • Figure 11. MEA Big Data in Automotive Share (%), by Country
  • Figure 12. North America Big Data in Automotive Share (%), by Country
  • Figure 13. Global Big Data in Automotive share by Players 2019 (%)
  • Figure 14. Global Big Data in Automotive share by Players (Top 3) 2019(%)
  • Figure 15. Global Big Data in Automotive share by Players (Top 5) 2019(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Accenture (Ireland) Revenue, Net Income and Gross profit
  • Figure 18. Accenture (Ireland) Revenue: by Geography 2019
  • Figure 19. HCL Technologies Limited (India) Revenue, Net Income and Gross profit
  • Figure 20. HCL Technologies Limited (India) Revenue: by Geography 2019
  • Figure 21. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 22. IBM Corporation (United States) Revenue: by Geography 2019
  • Figure 23. Infosys Limited (India) Revenue, Net Income and Gross profit
  • Figure 24. Infosys Limited (India) Revenue: by Geography 2019
  • Figure 25. LHP Engineering Solutions (United States) Revenue, Net Income and Gross profit
  • Figure 26. LHP Engineering Solutions (United States) Revenue: by Geography 2019
  • Figure 27. Adobe Systems Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 28. Adobe Systems Inc. (United States) Revenue: by Geography 2019
  • Figure 29. Allerin Tech Pvt Ltd (New Zealand) Revenue, Net Income and Gross profit
  • Figure 30. Allerin Tech Pvt Ltd (New Zealand) Revenue: by Geography 2019
  • Figure 31. Auriga, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 32. Auriga, Inc. (United States) Revenue: by Geography 2019
  • Figure 33. Capgemini SE (France) Revenue, Net Income and Gross profit
  • Figure 34. Capgemini SE (France) Revenue: by Geography 2019
  • Figure 35. Dataiku (United States) Revenue, Net Income and Gross profit
  • Figure 36. Dataiku (United States) Revenue: by Geography 2019
  • Figure 37. Deloitte Touche Tohmatsu Limited (United States) Revenue, Net Income and Gross profit
  • Figure 38. Deloitte Touche Tohmatsu Limited (United States) Revenue: by Geography 2019
  • Figure 39. DXC Technology (United States) Revenue, Net Income and Gross profit
  • Figure 40. DXC Technology (United States) Revenue: by Geography 2019
  • Figure 41. Happiest Minds (India) Revenue, Net Income and Gross profit
  • Figure 42. Happiest Minds (India) Revenue: by Geography 2019
  • Figure 43. Global Big Data in Automotive: by Application USD Million (2020-2025)
  • Figure 44. Global Big Data in Automotive: by Data type USD Million (2020-2025)
  • Figure 45. Global Big Data in Automotive: by Software deployment type USD Million (2020-2025)
  • Figure 46. Global Big Data in Automotive: by Component USD Million (2020-2025)
  • Figure 47. South America Big Data in Automotive Share (%), by Country
  • Figure 48. Asia Pacific Big Data in Automotive Share (%), by Country
  • Figure 49. Europe Big Data in Automotive Share (%), by Country
  • Figure 50. MEA Big Data in Automotive Share (%), by Country
  • Figure 51. North America Big Data in Automotive Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • Accenture (Ireland)
  • HCL Technologies Limited (India)
  • IBM Corporation (United States)
  • Infosys Limited (India)
  • LHP Engineering Solutions (United States)
  • Adobe Systems Inc. (United States)
  • Allerin Tech Pvt Ltd (New Zealand)
  • Auriga, Inc. (United States)
  • Capgemini SE (France)
  • Dataiku (United States)
  • Deloitte Touche Tohmatsu Limited (United States)
  • DXC Technology (United States)
  • Happiest Minds (India)
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