Global Automotive Cloud Market
Global Automotive Cloud Market

Automotive Cloud Comprehensive Study by Application (Automotive OEMs, Cloud Infrastructure Developers, Cloud Service Providers, Cybersecurity Service Providers For Automotive, Infotainment OEMs, ADAS & Telematics Suppliers), Technology (Artificial Intelligence, Machine Learning, The Internet of Things), Deployment (Private Cloud, Public Cloud), Features (Data Exchange, Mobility Services, Automotive Cybersecurity, Deep Learning, Telematics-Based Commerce) Players and Region - Global Market Outlook to 2024

Automotive Cloud Market Segmented into XX Submarkets. | Forecast Years: 2019- 2024  

Jun 2019 Edition 227 Pages 210 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Global Automotive Cloud Market Overview:
The automotive Cloud platform provides the infrastructure necessary to seamlessly connect, monitor, and transfer data between vehicles, service networks, and anything in between. Automotive companies using the cloud to gain IT agility, control cost, communication, and networking technologies. By implementing cloud-based DevOps in the automotive ecosystem provide high-quality software and significantly shortens the development lifecycle with continuous delivery. According to Gartner estimation by the year 2020, there will be over 250 million connected vehicles on the road. Some of the key players profiled in the study are Apple (United States), BlackBerry (Canada), Verizon Wireless (United States), Continental AG (Germany), Ericsson (Sweden), Bosch (Germany), Pioneer (Japan), Denso Corporation (Japan), Harman a Samsung Company (United States), SHIFTMobility Inc. (United States), Delphi Automotive (United Kingdom), Microsoft (United States), SAP (United States), Amazon Web Services and Intellias (Ukraine).

On the basis of geography, the market of Automotive Cloud 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). If we see Market by Technology, the sub-segment i.e. Artificial Intelligence will boost the Automotive Cloud market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Deployment, the sub-segment i.e. Private Cloud will boost the Automotive Cloud market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Features, the sub-segment i.e. Data Exchange will boost the Automotive Cloud market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Market Drivers
  • Increasing Potential Offered By Cloud Computing, Big Data, Machine Learning, and Mobility Systems, Automotive Cloud Technology (ACT)
  • Increasing Demand for Ride Sharing Services

Market Trend
  • Crossover Vehicles
  • Car Sharing
  • IoT Sparking the Growth of Connected Cars

Restraints
  • Lack of Infrastructure and Rising Threats from Hackers Can Hamper Market Growth

Opportunities
  • Strong Opportunity in the Connected Car Ecosystem


Major Market Developments:


In Oct 2018, Volkswagen Announced Its Partnership With Microsoft To Create New Automotive Cloud. Through This Strategic Partnership Will Turbocharge Its Digital Transformation, With All This Company Making Strategies For Shaping The Future Of Auto-Mobility.

The Global Automotive Cloud Market Is Highly Competitive And Consists Of Some Key Players. In Terms Of Market Share, Few Of The Key Players Presently Dominate The Global Market. The Market Players Are Focusing On Generating Competitive Advantage By Scaling Up Fast Supported By Cloud Services And LTE Based Connectivity Solutions. With Autonomous Vehicles Making Inroads To The Market There Is A Higher Need For The Vehicles To Be Able To Communicate With Their Surrounding Environment.

Target Audience:
Venture Capitalists and Private Equity Firms, New Entrants/Investors, Analysts and Strategic Business Planners, Government Regulatory and Research Organizations and Automotive Industry

Major Objectives Focused through this Study
• To define, describe, and forecast the Global Automotive Cloud market on the basis of product [] , application [Automotive OEMs, Cloud Infrastructure Developers, Cloud Service Providers, Cybersecurity Service Providers For Automotive, Infotainment OEMs and ADAS & Telematics Suppliers], key regions and end user
• To provide in-depth information regarding major influencing factors affecting the growth of the market (trends, drivers, restraints, opportunities, and industry-centric and regional challenges)
• To strategically analyse the micro-markets and important business segments with respect to individual growth drivers , market trends and potential, and historical contributions to the total market
• Identifying the opportunities in the market for key stakeholders and detailing the competitive landscape for market leaders
• To provide market size for various segments of the Automotive Cloud market with respect to major geographies, namely, 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)
• To strategically profile the key players and analyzing their market shares and core competencies in the Automotive Cloud industry
• To track key developments such as product launches, expansions, agreements, partnerships, mergers & acquisitions, and R&D activities that are key factors in shaping the market

Available Customization:
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**. Additionally, the Players which are also part of the research are Automotives Cloud (Ireland), Airbiquity (United States) and Visteon (United States).
** Confirmation on availability of data would be informed prior purchase

While framing the research framework, major and emerging players operating in the Automotive Cloud market in various regions have been profiled, and their offerings, geographic footprints, and distribution/sales channels have been analysed through in-depth discussions. Top-down and bottom-up approaches have been used to determine the overall market size. Sizes of the other individual markets have been estimated using the percentage splits obtained through secondary sources such as Hoovers, Bloomberg BusinessWeek, and Dow Jones (Factiva), along with primary respondents. The complete methodology includes the study of the annual and financial reports of the key market players and extensive interviews with industry experts such as CEOs, VPs, directors, and marketing executives for key insights (both qualitative and quantitative) related to the market.
Report Objectives / Segmentation Covered
By Application
  • Automotive OEMs
  • Cloud Infrastructure Developers
  • Cloud Service Providers
  • Cybersecurity Service Providers For Automotive
  • Infotainment OEMs
  • ADAS & Telematics Suppliers
By Technology
  • Artificial Intelligence
  • Machine Learning
  • The Internet of Things

By Deployment
  • Private Cloud
  • Public Cloud

By Features
  • Data Exchange
  • Mobility Services
  • Automotive Cybersecurity
  • Deep Learning
  • Telematics-Based Commerce

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. Increasing Potential Offered By Cloud Computing, Big Data, Machine Learning, and Mobility Systems, Automotive Cloud Technology (ACT)
      • 3.2.2. Increasing Demand for Ride Sharing Services
    • 3.3. Market Trends
      • 3.3.1. Crossover Vehicles
      • 3.3.2. Car Sharing
      • 3.3.3. IoT Sparking the Growth of Connected Cars
  • 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 Cloud, by Application, Technology, Deployment, Features and Region (value) (2013-2018)
    • 5.1. Introduction
    • 5.2. Global Automotive Cloud (Value)
      • 5.2.1. Global Automotive Cloud by: Application (Value)
        • 5.2.1.1. Automotive OEMs
        • 5.2.1.2. Cloud Infrastructure Developers
        • 5.2.1.3. Cloud Service Providers
        • 5.2.1.4. Cybersecurity Service Providers For Automotive
        • 5.2.1.5. Infotainment OEMs
        • 5.2.1.6. ADAS & Telematics Suppliers
      • 5.2.2. Global Automotive Cloud by: Technology (Value)
        • 5.2.2.1. Artificial Intelligence
        • 5.2.2.2. Machine Learning
        • 5.2.2.3. The Internet of Things
      • 5.2.3. Global Automotive Cloud by: Deployment (Value)
        • 5.2.3.1. Private Cloud
        • 5.2.3.2. Public Cloud
      • 5.2.4. Global Automotive Cloud by: Features (Value)
        • 5.2.4.1. Data Exchange
        • 5.2.4.2. Mobility Services
        • 5.2.4.3. Automotive Cybersecurity
        • 5.2.4.4. Deep Learning
        • 5.2.4.5. Telematics-Based Commerce
      • 5.2.5. Global Automotive Cloud 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. Automotive Cloud: 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 (2018)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Apple (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. BlackBerry (Canada)
        • 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. Verizon Wireless (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. Continental AG (Germany)
        • 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. Ericsson (Sweden)
        • 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. Bosch (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. Pioneer (Japan)
        • 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. Denso Corporation (Japan)
        • 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. Harman a Samsung Company (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. SHIFTMobility Inc. (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. Delphi Automotive (United Kingdom)
        • 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. Microsoft (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. SAP (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. Amazon Web Services
        • 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. Intellias (Ukraine)
        • 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 Cloud Sale, by Application, Technology, Deployment, Features and Region (value) (2019-2024)
    • 7.1. Introduction
    • 7.2. Global Automotive Cloud (Value)
      • 7.2.1. Global Automotive Cloud by: Application (Value)
        • 7.2.1.1. Automotive OEMs
        • 7.2.1.2. Cloud Infrastructure Developers
        • 7.2.1.3. Cloud Service Providers
        • 7.2.1.4. Cybersecurity Service Providers For Automotive
        • 7.2.1.5. Infotainment OEMs
        • 7.2.1.6. ADAS & Telematics Suppliers
      • 7.2.2. Global Automotive Cloud by: Technology (Value)
        • 7.2.2.1. Artificial Intelligence
        • 7.2.2.2. Machine Learning
        • 7.2.2.3. The Internet of Things
      • 7.2.3. Global Automotive Cloud by: Deployment (Value)
        • 7.2.3.1. Private Cloud
        • 7.2.3.2. Public Cloud
      • 7.2.4. Global Automotive Cloud by: Features (Value)
        • 7.2.4.1. Data Exchange
        • 7.2.4.2. Mobility Services
        • 7.2.4.3. Automotive Cybersecurity
        • 7.2.4.4. Deep Learning
        • 7.2.4.5. Telematics-Based Commerce
      • 7.2.5. Global Automotive Cloud 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. Automotive Cloud: by Application(USD Million)
  • Table 2. Automotive Cloud Automotive OEMs , by Region USD Million (2013-2018)
  • Table 3. Automotive Cloud Cloud Infrastructure Developers , by Region USD Million (2013-2018)
  • Table 4. Automotive Cloud Cloud Service Providers , by Region USD Million (2013-2018)
  • Table 5. Automotive Cloud Cybersecurity Service Providers For Automotive , by Region USD Million (2013-2018)
  • Table 6. Automotive Cloud Infotainment OEMs , by Region USD Million (2013-2018)
  • Table 7. Automotive Cloud ADAS & Telematics Suppliers , by Region USD Million (2013-2018)
  • Table 8. Automotive Cloud: by Technology(USD Million)
  • Table 9. Automotive Cloud Artificial Intelligence , by Region USD Million (2013-2018)
  • Table 10. Automotive Cloud Machine Learning , by Region USD Million (2013-2018)
  • Table 11. Automotive Cloud The Internet of Things , by Region USD Million (2013-2018)
  • Table 12. Automotive Cloud: by Deployment(USD Million)
  • Table 13. Automotive Cloud Private Cloud , by Region USD Million (2013-2018)
  • Table 14. Automotive Cloud Public Cloud , by Region USD Million (2013-2018)
  • Table 15. Automotive Cloud: by Features(USD Million)
  • Table 16. Automotive Cloud Data Exchange , by Region USD Million (2013-2018)
  • Table 17. Automotive Cloud Mobility Services , by Region USD Million (2013-2018)
  • Table 18. Automotive Cloud Automotive Cybersecurity , by Region USD Million (2013-2018)
  • Table 19. Automotive Cloud Deep Learning , by Region USD Million (2013-2018)
  • Table 20. Automotive Cloud Telematics-Based Commerce , by Region USD Million (2013-2018)
  • Table 21. South America Automotive Cloud, by Country USD Million (2013-2018)
  • Table 22. South America Automotive Cloud, by Application USD Million (2013-2018)
  • Table 23. South America Automotive Cloud, by Technology USD Million (2013-2018)
  • Table 24. South America Automotive Cloud, by Deployment USD Million (2013-2018)
  • Table 25. South America Automotive Cloud, by Features USD Million (2013-2018)
  • Table 26. Brazil Automotive Cloud, by Application USD Million (2013-2018)
  • Table 27. Brazil Automotive Cloud, by Technology USD Million (2013-2018)
  • Table 28. Brazil Automotive Cloud, by Deployment USD Million (2013-2018)
  • Table 29. Brazil Automotive Cloud, by Features USD Million (2013-2018)
  • Table 30. Argentina Automotive Cloud, by Application USD Million (2013-2018)
  • Table 31. Argentina Automotive Cloud, by Technology USD Million (2013-2018)
  • Table 32. Argentina Automotive Cloud, by Deployment USD Million (2013-2018)
  • Table 33. Argentina Automotive Cloud, by Features USD Million (2013-2018)
  • Table 34. Rest of South America Automotive Cloud, by Application USD Million (2013-2018)
  • Table 35. Rest of South America Automotive Cloud, by Technology USD Million (2013-2018)
  • Table 36. Rest of South America Automotive Cloud, by Deployment USD Million (2013-2018)
  • Table 37. Rest of South America Automotive Cloud, by Features USD Million (2013-2018)
  • Table 38. Asia Pacific Automotive Cloud, by Country USD Million (2013-2018)
  • Table 39. Asia Pacific Automotive Cloud, by Application USD Million (2013-2018)
  • Table 40. Asia Pacific Automotive Cloud, by Technology USD Million (2013-2018)
  • Table 41. Asia Pacific Automotive Cloud, by Deployment USD Million (2013-2018)
  • Table 42. Asia Pacific Automotive Cloud, by Features USD Million (2013-2018)
  • Table 43. China Automotive Cloud, by Application USD Million (2013-2018)
  • Table 44. China Automotive Cloud, by Technology USD Million (2013-2018)
  • Table 45. China Automotive Cloud, by Deployment USD Million (2013-2018)
  • Table 46. China Automotive Cloud, by Features USD Million (2013-2018)
  • Table 47. Japan Automotive Cloud, by Application USD Million (2013-2018)
  • Table 48. Japan Automotive Cloud, by Technology USD Million (2013-2018)
  • Table 49. Japan Automotive Cloud, by Deployment USD Million (2013-2018)
  • Table 50. Japan Automotive Cloud, by Features USD Million (2013-2018)
  • Table 51. India Automotive Cloud, by Application USD Million (2013-2018)
  • Table 52. India Automotive Cloud, by Technology USD Million (2013-2018)
  • Table 53. India Automotive Cloud, by Deployment USD Million (2013-2018)
  • Table 54. India Automotive Cloud, by Features USD Million (2013-2018)
  • Table 55. South Korea Automotive Cloud, by Application USD Million (2013-2018)
  • Table 56. South Korea Automotive Cloud, by Technology USD Million (2013-2018)
  • Table 57. South Korea Automotive Cloud, by Deployment USD Million (2013-2018)
  • Table 58. South Korea Automotive Cloud, by Features USD Million (2013-2018)
  • Table 59. Taiwan Automotive Cloud, by Application USD Million (2013-2018)
  • Table 60. Taiwan Automotive Cloud, by Technology USD Million (2013-2018)
  • Table 61. Taiwan Automotive Cloud, by Deployment USD Million (2013-2018)
  • Table 62. Taiwan Automotive Cloud, by Features USD Million (2013-2018)
  • Table 63. Australia Automotive Cloud, by Application USD Million (2013-2018)
  • Table 64. Australia Automotive Cloud, by Technology USD Million (2013-2018)
  • Table 65. Australia Automotive Cloud, by Deployment USD Million (2013-2018)
  • Table 66. Australia Automotive Cloud, by Features USD Million (2013-2018)
  • Table 67. Rest of Asia-Pacific Automotive Cloud, by Application USD Million (2013-2018)
  • Table 68. Rest of Asia-Pacific Automotive Cloud, by Technology USD Million (2013-2018)
  • Table 69. Rest of Asia-Pacific Automotive Cloud, by Deployment USD Million (2013-2018)
  • Table 70. Rest of Asia-Pacific Automotive Cloud, by Features USD Million (2013-2018)
  • Table 71. Europe Automotive Cloud, by Country USD Million (2013-2018)
  • Table 72. Europe Automotive Cloud, by Application USD Million (2013-2018)
  • Table 73. Europe Automotive Cloud, by Technology USD Million (2013-2018)
  • Table 74. Europe Automotive Cloud, by Deployment USD Million (2013-2018)
  • Table 75. Europe Automotive Cloud, by Features USD Million (2013-2018)
  • Table 76. Germany Automotive Cloud, by Application USD Million (2013-2018)
  • Table 77. Germany Automotive Cloud, by Technology USD Million (2013-2018)
  • Table 78. Germany Automotive Cloud, by Deployment USD Million (2013-2018)
  • Table 79. Germany Automotive Cloud, by Features USD Million (2013-2018)
  • Table 80. France Automotive Cloud, by Application USD Million (2013-2018)
  • Table 81. France Automotive Cloud, by Technology USD Million (2013-2018)
  • Table 82. France Automotive Cloud, by Deployment USD Million (2013-2018)
  • Table 83. France Automotive Cloud, by Features USD Million (2013-2018)
  • Table 84. Italy Automotive Cloud, by Application USD Million (2013-2018)
  • Table 85. Italy Automotive Cloud, by Technology USD Million (2013-2018)
  • Table 86. Italy Automotive Cloud, by Deployment USD Million (2013-2018)
  • Table 87. Italy Automotive Cloud, by Features USD Million (2013-2018)
  • Table 88. United Kingdom Automotive Cloud, by Application USD Million (2013-2018)
  • Table 89. United Kingdom Automotive Cloud, by Technology USD Million (2013-2018)
  • Table 90. United Kingdom Automotive Cloud, by Deployment USD Million (2013-2018)
  • Table 91. United Kingdom Automotive Cloud, by Features USD Million (2013-2018)
  • Table 92. Netherlands Automotive Cloud, by Application USD Million (2013-2018)
  • Table 93. Netherlands Automotive Cloud, by Technology USD Million (2013-2018)
  • Table 94. Netherlands Automotive Cloud, by Deployment USD Million (2013-2018)
  • Table 95. Netherlands Automotive Cloud, by Features USD Million (2013-2018)
  • Table 96. Rest of Europe Automotive Cloud, by Application USD Million (2013-2018)
  • Table 97. Rest of Europe Automotive Cloud, by Technology USD Million (2013-2018)
  • Table 98. Rest of Europe Automotive Cloud, by Deployment USD Million (2013-2018)
  • Table 99. Rest of Europe Automotive Cloud, by Features USD Million (2013-2018)
  • Table 100. MEA Automotive Cloud, by Country USD Million (2013-2018)
  • Table 101. MEA Automotive Cloud, by Application USD Million (2013-2018)
  • Table 102. MEA Automotive Cloud, by Technology USD Million (2013-2018)
  • Table 103. MEA Automotive Cloud, by Deployment USD Million (2013-2018)
  • Table 104. MEA Automotive Cloud, by Features USD Million (2013-2018)
  • Table 105. Middle East Automotive Cloud, by Application USD Million (2013-2018)
  • Table 106. Middle East Automotive Cloud, by Technology USD Million (2013-2018)
  • Table 107. Middle East Automotive Cloud, by Deployment USD Million (2013-2018)
  • Table 108. Middle East Automotive Cloud, by Features USD Million (2013-2018)
  • Table 109. Africa Automotive Cloud, by Application USD Million (2013-2018)
  • Table 110. Africa Automotive Cloud, by Technology USD Million (2013-2018)
  • Table 111. Africa Automotive Cloud, by Deployment USD Million (2013-2018)
  • Table 112. Africa Automotive Cloud, by Features USD Million (2013-2018)
  • Table 113. North America Automotive Cloud, by Country USD Million (2013-2018)
  • Table 114. North America Automotive Cloud, by Application USD Million (2013-2018)
  • Table 115. North America Automotive Cloud, by Technology USD Million (2013-2018)
  • Table 116. North America Automotive Cloud, by Deployment USD Million (2013-2018)
  • Table 117. North America Automotive Cloud, by Features USD Million (2013-2018)
  • Table 118. United States Automotive Cloud, by Application USD Million (2013-2018)
  • Table 119. United States Automotive Cloud, by Technology USD Million (2013-2018)
  • Table 120. United States Automotive Cloud, by Deployment USD Million (2013-2018)
  • Table 121. United States Automotive Cloud, by Features USD Million (2013-2018)
  • Table 122. Canada Automotive Cloud, by Application USD Million (2013-2018)
  • Table 123. Canada Automotive Cloud, by Technology USD Million (2013-2018)
  • Table 124. Canada Automotive Cloud, by Deployment USD Million (2013-2018)
  • Table 125. Canada Automotive Cloud, by Features USD Million (2013-2018)
  • Table 126. Mexico Automotive Cloud, by Application USD Million (2013-2018)
  • Table 127. Mexico Automotive Cloud, by Technology USD Million (2013-2018)
  • Table 128. Mexico Automotive Cloud, by Deployment USD Million (2013-2018)
  • Table 129. Mexico Automotive Cloud, by Features USD Million (2013-2018)
  • 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. Company Basic Information, Sales Area and Its Competitors
  • Table 144. Company Basic Information, Sales Area and Its Competitors
  • Table 145. Automotive Cloud: by Application(USD Million)
  • Table 146. Automotive Cloud Automotive OEMs , by Region USD Million (2019-2024)
  • Table 147. Automotive Cloud Cloud Infrastructure Developers , by Region USD Million (2019-2024)
  • Table 148. Automotive Cloud Cloud Service Providers , by Region USD Million (2019-2024)
  • Table 149. Automotive Cloud Cybersecurity Service Providers For Automotive , by Region USD Million (2019-2024)
  • Table 150. Automotive Cloud Infotainment OEMs , by Region USD Million (2019-2024)
  • Table 151. Automotive Cloud ADAS & Telematics Suppliers , by Region USD Million (2019-2024)
  • Table 152. Automotive Cloud: by Technology(USD Million)
  • Table 153. Automotive Cloud Artificial Intelligence , by Region USD Million (2019-2024)
  • Table 154. Automotive Cloud Machine Learning , by Region USD Million (2019-2024)
  • Table 155. Automotive Cloud The Internet of Things , by Region USD Million (2019-2024)
  • Table 156. Automotive Cloud: by Deployment(USD Million)
  • Table 157. Automotive Cloud Private Cloud , by Region USD Million (2019-2024)
  • Table 158. Automotive Cloud Public Cloud , by Region USD Million (2019-2024)
  • Table 159. Automotive Cloud: by Features(USD Million)
  • Table 160. Automotive Cloud Data Exchange , by Region USD Million (2019-2024)
  • Table 161. Automotive Cloud Mobility Services , by Region USD Million (2019-2024)
  • Table 162. Automotive Cloud Automotive Cybersecurity , by Region USD Million (2019-2024)
  • Table 163. Automotive Cloud Deep Learning , by Region USD Million (2019-2024)
  • Table 164. Automotive Cloud Telematics-Based Commerce , by Region USD Million (2019-2024)
  • Table 165. South America Automotive Cloud, by Country USD Million (2019-2024)
  • Table 166. South America Automotive Cloud, by Application USD Million (2019-2024)
  • Table 167. South America Automotive Cloud, by Technology USD Million (2019-2024)
  • Table 168. South America Automotive Cloud, by Deployment USD Million (2019-2024)
  • Table 169. South America Automotive Cloud, by Features USD Million (2019-2024)
  • Table 170. Brazil Automotive Cloud, by Application USD Million (2019-2024)
  • Table 171. Brazil Automotive Cloud, by Technology USD Million (2019-2024)
  • Table 172. Brazil Automotive Cloud, by Deployment USD Million (2019-2024)
  • Table 173. Brazil Automotive Cloud, by Features USD Million (2019-2024)
  • Table 174. Argentina Automotive Cloud, by Application USD Million (2019-2024)
  • Table 175. Argentina Automotive Cloud, by Technology USD Million (2019-2024)
  • Table 176. Argentina Automotive Cloud, by Deployment USD Million (2019-2024)
  • Table 177. Argentina Automotive Cloud, by Features USD Million (2019-2024)
  • Table 178. Rest of South America Automotive Cloud, by Application USD Million (2019-2024)
  • Table 179. Rest of South America Automotive Cloud, by Technology USD Million (2019-2024)
  • Table 180. Rest of South America Automotive Cloud, by Deployment USD Million (2019-2024)
  • Table 181. Rest of South America Automotive Cloud, by Features USD Million (2019-2024)
  • Table 182. Asia Pacific Automotive Cloud, by Country USD Million (2019-2024)
  • Table 183. Asia Pacific Automotive Cloud, by Application USD Million (2019-2024)
  • Table 184. Asia Pacific Automotive Cloud, by Technology USD Million (2019-2024)
  • Table 185. Asia Pacific Automotive Cloud, by Deployment USD Million (2019-2024)
  • Table 186. Asia Pacific Automotive Cloud, by Features USD Million (2019-2024)
  • Table 187. China Automotive Cloud, by Application USD Million (2019-2024)
  • Table 188. China Automotive Cloud, by Technology USD Million (2019-2024)
  • Table 189. China Automotive Cloud, by Deployment USD Million (2019-2024)
  • Table 190. China Automotive Cloud, by Features USD Million (2019-2024)
  • Table 191. Japan Automotive Cloud, by Application USD Million (2019-2024)
  • Table 192. Japan Automotive Cloud, by Technology USD Million (2019-2024)
  • Table 193. Japan Automotive Cloud, by Deployment USD Million (2019-2024)
  • Table 194. Japan Automotive Cloud, by Features USD Million (2019-2024)
  • Table 195. India Automotive Cloud, by Application USD Million (2019-2024)
  • Table 196. India Automotive Cloud, by Technology USD Million (2019-2024)
  • Table 197. India Automotive Cloud, by Deployment USD Million (2019-2024)
  • Table 198. India Automotive Cloud, by Features USD Million (2019-2024)
  • Table 199. South Korea Automotive Cloud, by Application USD Million (2019-2024)
  • Table 200. South Korea Automotive Cloud, by Technology USD Million (2019-2024)
  • Table 201. South Korea Automotive Cloud, by Deployment USD Million (2019-2024)
  • Table 202. South Korea Automotive Cloud, by Features USD Million (2019-2024)
  • Table 203. Taiwan Automotive Cloud, by Application USD Million (2019-2024)
  • Table 204. Taiwan Automotive Cloud, by Technology USD Million (2019-2024)
  • Table 205. Taiwan Automotive Cloud, by Deployment USD Million (2019-2024)
  • Table 206. Taiwan Automotive Cloud, by Features USD Million (2019-2024)
  • Table 207. Australia Automotive Cloud, by Application USD Million (2019-2024)
  • Table 208. Australia Automotive Cloud, by Technology USD Million (2019-2024)
  • Table 209. Australia Automotive Cloud, by Deployment USD Million (2019-2024)
  • Table 210. Australia Automotive Cloud, by Features USD Million (2019-2024)
  • Table 211. Rest of Asia-Pacific Automotive Cloud, by Application USD Million (2019-2024)
  • Table 212. Rest of Asia-Pacific Automotive Cloud, by Technology USD Million (2019-2024)
  • Table 213. Rest of Asia-Pacific Automotive Cloud, by Deployment USD Million (2019-2024)
  • Table 214. Rest of Asia-Pacific Automotive Cloud, by Features USD Million (2019-2024)
  • Table 215. Europe Automotive Cloud, by Country USD Million (2019-2024)
  • Table 216. Europe Automotive Cloud, by Application USD Million (2019-2024)
  • Table 217. Europe Automotive Cloud, by Technology USD Million (2019-2024)
  • Table 218. Europe Automotive Cloud, by Deployment USD Million (2019-2024)
  • Table 219. Europe Automotive Cloud, by Features USD Million (2019-2024)
  • Table 220. Germany Automotive Cloud, by Application USD Million (2019-2024)
  • Table 221. Germany Automotive Cloud, by Technology USD Million (2019-2024)
  • Table 222. Germany Automotive Cloud, by Deployment USD Million (2019-2024)
  • Table 223. Germany Automotive Cloud, by Features USD Million (2019-2024)
  • Table 224. France Automotive Cloud, by Application USD Million (2019-2024)
  • Table 225. France Automotive Cloud, by Technology USD Million (2019-2024)
  • Table 226. France Automotive Cloud, by Deployment USD Million (2019-2024)
  • Table 227. France Automotive Cloud, by Features USD Million (2019-2024)
  • Table 228. Italy Automotive Cloud, by Application USD Million (2019-2024)
  • Table 229. Italy Automotive Cloud, by Technology USD Million (2019-2024)
  • Table 230. Italy Automotive Cloud, by Deployment USD Million (2019-2024)
  • Table 231. Italy Automotive Cloud, by Features USD Million (2019-2024)
  • Table 232. United Kingdom Automotive Cloud, by Application USD Million (2019-2024)
  • Table 233. United Kingdom Automotive Cloud, by Technology USD Million (2019-2024)
  • Table 234. United Kingdom Automotive Cloud, by Deployment USD Million (2019-2024)
  • Table 235. United Kingdom Automotive Cloud, by Features USD Million (2019-2024)
  • Table 236. Netherlands Automotive Cloud, by Application USD Million (2019-2024)
  • Table 237. Netherlands Automotive Cloud, by Technology USD Million (2019-2024)
  • Table 238. Netherlands Automotive Cloud, by Deployment USD Million (2019-2024)
  • Table 239. Netherlands Automotive Cloud, by Features USD Million (2019-2024)
  • Table 240. Rest of Europe Automotive Cloud, by Application USD Million (2019-2024)
  • Table 241. Rest of Europe Automotive Cloud, by Technology USD Million (2019-2024)
  • Table 242. Rest of Europe Automotive Cloud, by Deployment USD Million (2019-2024)
  • Table 243. Rest of Europe Automotive Cloud, by Features USD Million (2019-2024)
  • Table 244. MEA Automotive Cloud, by Country USD Million (2019-2024)
  • Table 245. MEA Automotive Cloud, by Application USD Million (2019-2024)
  • Table 246. MEA Automotive Cloud, by Technology USD Million (2019-2024)
  • Table 247. MEA Automotive Cloud, by Deployment USD Million (2019-2024)
  • Table 248. MEA Automotive Cloud, by Features USD Million (2019-2024)
  • Table 249. Middle East Automotive Cloud, by Application USD Million (2019-2024)
  • Table 250. Middle East Automotive Cloud, by Technology USD Million (2019-2024)
  • Table 251. Middle East Automotive Cloud, by Deployment USD Million (2019-2024)
  • Table 252. Middle East Automotive Cloud, by Features USD Million (2019-2024)
  • Table 253. Africa Automotive Cloud, by Application USD Million (2019-2024)
  • Table 254. Africa Automotive Cloud, by Technology USD Million (2019-2024)
  • Table 255. Africa Automotive Cloud, by Deployment USD Million (2019-2024)
  • Table 256. Africa Automotive Cloud, by Features USD Million (2019-2024)
  • Table 257. North America Automotive Cloud, by Country USD Million (2019-2024)
  • Table 258. North America Automotive Cloud, by Application USD Million (2019-2024)
  • Table 259. North America Automotive Cloud, by Technology USD Million (2019-2024)
  • Table 260. North America Automotive Cloud, by Deployment USD Million (2019-2024)
  • Table 261. North America Automotive Cloud, by Features USD Million (2019-2024)
  • Table 262. United States Automotive Cloud, by Application USD Million (2019-2024)
  • Table 263. United States Automotive Cloud, by Technology USD Million (2019-2024)
  • Table 264. United States Automotive Cloud, by Deployment USD Million (2019-2024)
  • Table 265. United States Automotive Cloud, by Features USD Million (2019-2024)
  • Table 266. Canada Automotive Cloud, by Application USD Million (2019-2024)
  • Table 267. Canada Automotive Cloud, by Technology USD Million (2019-2024)
  • Table 268. Canada Automotive Cloud, by Deployment USD Million (2019-2024)
  • Table 269. Canada Automotive Cloud, by Features USD Million (2019-2024)
  • Table 270. Mexico Automotive Cloud, by Application USD Million (2019-2024)
  • Table 271. Mexico Automotive Cloud, by Technology USD Million (2019-2024)
  • Table 272. Mexico Automotive Cloud, by Deployment USD Million (2019-2024)
  • Table 273. Mexico Automotive Cloud, by Features USD Million (2019-2024)
  • Table 274. Research Programs/Design for This Report
  • Table 275. Key Data Information from Secondary Sources
  • Table 276. 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 Cloud: by Application USD Million (2013-2018)
  • Figure 5. Global Automotive Cloud: by Technology USD Million (2013-2018)
  • Figure 6. Global Automotive Cloud: by Deployment USD Million (2013-2018)
  • Figure 7. Global Automotive Cloud: by Features USD Million (2013-2018)
  • Figure 8. South America Automotive Cloud Share (%), by Country
  • Figure 9. Asia Pacific Automotive Cloud Share (%), by Country
  • Figure 10. Europe Automotive Cloud Share (%), by Country
  • Figure 11. MEA Automotive Cloud Share (%), by Country
  • Figure 12. North America Automotive Cloud Share (%), by Country
  • Figure 13. Global Automotive Cloud share by Players 2018 (%)
  • Figure 14. Global Automotive Cloud share by Players (Top 3) 2018(%)
  • Figure 15. Global Automotive Cloud share by Players (Top 5) 2018(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Apple (United States) Revenue, Net Income and Gross profit
  • Figure 18. Apple (United States) Revenue: by Geography 2018
  • Figure 19. BlackBerry (Canada) Revenue, Net Income and Gross profit
  • Figure 20. BlackBerry (Canada) Revenue: by Geography 2018
  • Figure 21. Verizon Wireless (United States) Revenue, Net Income and Gross profit
  • Figure 22. Verizon Wireless (United States) Revenue: by Geography 2018
  • Figure 23. Continental AG (Germany) Revenue, Net Income and Gross profit
  • Figure 24. Continental AG (Germany) Revenue: by Geography 2018
  • Figure 25. Ericsson (Sweden) Revenue, Net Income and Gross profit
  • Figure 26. Ericsson (Sweden) Revenue: by Geography 2018
  • Figure 27. Bosch (Germany) Revenue, Net Income and Gross profit
  • Figure 28. Bosch (Germany) Revenue: by Geography 2018
  • Figure 29. Pioneer (Japan) Revenue, Net Income and Gross profit
  • Figure 30. Pioneer (Japan) Revenue: by Geography 2018
  • Figure 31. Denso Corporation (Japan) Revenue, Net Income and Gross profit
  • Figure 32. Denso Corporation (Japan) Revenue: by Geography 2018
  • Figure 33. Harman a Samsung Company (United States) Revenue, Net Income and Gross profit
  • Figure 34. Harman a Samsung Company (United States) Revenue: by Geography 2018
  • Figure 35. SHIFTMobility Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 36. SHIFTMobility Inc. (United States) Revenue: by Geography 2018
  • Figure 37. Delphi Automotive (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 38. Delphi Automotive (United Kingdom) Revenue: by Geography 2018
  • Figure 39. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 40. Microsoft (United States) Revenue: by Geography 2018
  • Figure 41. SAP (United States) Revenue, Net Income and Gross profit
  • Figure 42. SAP (United States) Revenue: by Geography 2018
  • Figure 43. Amazon Web Services Revenue, Net Income and Gross profit
  • Figure 44. Amazon Web Services Revenue: by Geography 2018
  • Figure 45. Intellias (Ukraine) Revenue, Net Income and Gross profit
  • Figure 46. Intellias (Ukraine) Revenue: by Geography 2018
  • Figure 47. Global Automotive Cloud: by Application USD Million (2019-2024)
  • Figure 48. Global Automotive Cloud: by Technology USD Million (2019-2024)
  • Figure 49. Global Automotive Cloud: by Deployment USD Million (2019-2024)
  • Figure 50. Global Automotive Cloud: by Features USD Million (2019-2024)
  • Figure 51. South America Automotive Cloud Share (%), by Country
  • Figure 52. Asia Pacific Automotive Cloud Share (%), by Country
  • Figure 53. Europe Automotive Cloud Share (%), by Country
  • Figure 54. MEA Automotive Cloud Share (%), by Country
  • Figure 55. North America Automotive Cloud Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • Apple (United States)
  • BlackBerry (Canada)
  • Verizon Wireless (United States)
  • Continental AG (Germany)
  • Ericsson (Sweden)
  • Bosch (Germany)
  • Pioneer (Japan)
  • Denso Corporation (Japan)
  • Harman a Samsung Company (United States)
  • SHIFTMobility Inc. (United States)
  • Delphi Automotive (United Kingdom)
  • Microsoft (United States)
  • SAP (United States)
  • Amazon Web Services
  • Intellias (Ukraine)
Additional players considered in the study are as follows:
Automotives Cloud (Ireland) , Airbiquity (United States) , Visteon (United States)
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