Global Automotive Cloud Market

Automotive Cloud Comprehensive Study by Type (Private Cloud, Public Cloud), 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), Features (Data Exchange, Mobility Services, Automotive Cybersecurity, Deep Learning, Telematics-Based Commerce) Players and Region - Global Market Outlook to 2028

Automotive Cloud Market by XX Submarkets | Forecast Years 2023-2028  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Industry Background:
The automotive Cloud platform offers the complete infrastructure required for connecting, monitoring, and transferring data between vehicles, service networks, and others. Automotive The major companies operating in this industry has increased their funding to gain IT agility, control cost, communication, and networking technologies. And also implementing cloud-based DevOps in the automotive ecosystem to generate high-quality software for continuous delivery to their consumers. According to a survey report by the year 2020, there will be over 250 million connected vehicles on the road. As today's global automotive industry is near about USD ~3 trillion, the whole industry is going under the major transformation including car-sharing, connected vehicles, and other services. The cloud automotive industry will be expected to reach USD ~9-9.6 billion by FY 2025. The market leaders including Uber and Lyft revealed that the ride-hailing services market will be expected to reach USD ~133 billion by FY 2023. Seattle is gaining major attraction by the increasing number of mobility companies such as Mercedes, GM Cruise, Uber, and many others.This growth is primarily driven by Increasing Technology Advancement Potential Offered by Cloud Computing, Big Data, Machine Learning, and Mobility Systems, Automotive Cloud Technology .

AttributesDetails
Study Period2018-2028
Base Year2022
Forecast Period2023-2028
Volume UnitN
Value UnitUSD (Million)
Customization ScopeAvail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility


The Cloud Computing sector in the region has been increasing at a sustainable rate and further growth is expected to be witnessed over the forecast period, owing to the robust investments and expansion in production facilities in the region. Major Players, such as 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, etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years.

Key Developments in the Market:
In Jan 2020, Volkswagen Group announced the acquisition of the Diconium, a digital service company to enhances its global online sales platform. Through this agreement Volkswagen allows their consumers to purchase and manage their digital services for their connected vehicles in the coming years.
In Oct 2018, Volkswagen announced its partnership with Microsoft to create a 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. Under this partnership, the Volkswagen automotive cloud is available for Europe, China, and the United States regions for the complete electric and connected offering.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-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.

Influencing Trend:
This Market Is Highly Growing in the Adoption of Majorly in Asia Pacific Regions Especially, in China, And India. Because of Rising Presence of Technology-Based Start-Ups Functionalities of a Dealer Management System. and IoT Sparking the Growth of Connected Cars

Market Growth Drivers:
Increasing Technology Advancement Potential Offered by Cloud Computing, Big Data, Machine Learning, and Mobility Systems, Automotive Cloud Technology, Increasing Demand for Ride-Sharing Services and Growing Demand from the Automotive Suppliers for the Cloud Computing to Improve Cost of the Operations

Restraints:
Lack of Infrastructure and Rising Threats from Hackers can Hamper Market Growth

Opportunities:
Strong Opportunity in The Connected Car Ecosystem, Increasing Number of Value-Added Services by Leading Market Players and High Availability Of 5G With Reliable and Secure Capabilities Which Will Support the Automotive Requirements

AMA Research follows a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mainly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcases the spontaneously changing Players landscape impacting the market's growth. Furthermore, our market researchers extensively analyze the products and services offered by multiple players competing to increase their market share and presence.

Data Sources of Automotive Cloud Market Study

Primary Collection: InMail, LinkedIn Groups, Survey Monkey, Google, and Other professional Forums are some of the mediums utilized to gather primary data through key industry participants and appointees, subject-matter experts, C-level executives of Automotive Cloud Industry, among others including independent industry consultants, experts, to obtain and verify critical qualitative commentary and opinion and quantitative statistics, to assess future market prospects.

The primary interviews and data collected as per the below protocols:
• By Designation: C-Level, D-Level, Others
• By Company Type: Tier 1, Tier 2, Tier 3

Secondary Data Sources such as Annual reports, Press releases, Analyst meetings, Conference calls, Investor presentations, Management statements, and SEC filings of Automotive Cloud players along with Regulatory Sites, Association, World bank, etc were used as sources secondary set of data.

Customization in the Report
AMA Research features not only specific market forecasts but also includes significant value-added commentary on:
- Market Trends
- Technological Trends and Innovations
- Market Maturity Indicators
- Growth Drivers and Constraints
- New Entrants into the Market & Entry/Exit Barriers
- To Seize Powerful Market Opportunities
- Identify Key Business Segments, Market Proposition & Gap Analysis

Against this Challenging Backdrop, Automotive Cloud Study Sheds Light on
— The Automotive Cloud Market status quo and key characteristics. To end this, Analysts at AMA organize and took surveys of the Automotive Cloud industry Players. The resultant snapshot serves as a basis for understanding why and how the industry can be expected to change.
— Where Automotive Cloud industry is heading and what are the top priorities. Insights are drawn from financial analysis, surveys, and interviews with key executives and industry experts.
— How every company in this diverse set of Players can best navigate the emerging competition landscape and follow a strategy that helps them position to hold the value they currently claim or capture the new addressable opportunity.

Report Objectives / Segmentation Covered

By Type
  • Private Cloud
  • Public Cloud
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 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 Technology Advancement Potential Offered by Cloud Computing, Big Data, Machine Learning, and Mobility Systems, Automotive Cloud Technology
      • 3.2.2. Increasing Demand for Ride-Sharing Services
      • 3.2.3. Growing Demand from the Automotive Suppliers for the Cloud Computing to Improve Cost of the Operations
    • 3.3. Market Trends
      • 3.3.1. This Market Is Highly Growing in the Adoption of Majorly in Asia Pacific Regions Especially, in China, And India. Because of Rising Presence of Technology-Based Start-Ups Functionalities of a Dealer Management System.
      • 3.3.2. 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 Type, Application, Technology, Features and Region (value) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Automotive Cloud (Value)
      • 5.2.1. Global Automotive Cloud by: Type (Value)
        • 5.2.1.1. Private Cloud
        • 5.2.1.2. Public Cloud
      • 5.2.2. Global Automotive Cloud by: Application (Value)
        • 5.2.2.1. Automotive OEMs
        • 5.2.2.2. Cloud Infrastructure Developers
        • 5.2.2.3. Cloud Service Providers
        • 5.2.2.4. Cybersecurity Service Providers For Automotive
        • 5.2.2.5. Infotainment OEMs
        • 5.2.2.6. ADAS & Telematics Suppliers
      • 5.2.3. Global Automotive Cloud by: Technology (Value)
        • 5.2.3.1. Artificial Intelligence
        • 5.2.3.2. Machine Learning
        • 5.2.3.3. The Internet of Things
      • 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 (2022)
    • 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 Type, Application, Technology, Features and Region (value) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Automotive Cloud (Value)
      • 7.2.1. Global Automotive Cloud by: Type (Value)
        • 7.2.1.1. Private Cloud
        • 7.2.1.2. Public Cloud
      • 7.2.2. Global Automotive Cloud by: Application (Value)
        • 7.2.2.1. Automotive OEMs
        • 7.2.2.2. Cloud Infrastructure Developers
        • 7.2.2.3. Cloud Service Providers
        • 7.2.2.4. Cybersecurity Service Providers For Automotive
        • 7.2.2.5. Infotainment OEMs
        • 7.2.2.6. ADAS & Telematics Suppliers
      • 7.2.3. Global Automotive Cloud by: Technology (Value)
        • 7.2.3.1. Artificial Intelligence
        • 7.2.3.2. Machine Learning
        • 7.2.3.3. The Internet of Things
      • 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 Type(USD Million)
  • Table 2. Automotive Cloud Private Cloud , by Region USD Million (2017-2022)
  • Table 3. Automotive Cloud Public Cloud , by Region USD Million (2017-2022)
  • Table 4. Automotive Cloud: by Application(USD Million)
  • Table 5. Automotive Cloud Automotive OEMs , by Region USD Million (2017-2022)
  • Table 6. Automotive Cloud Cloud Infrastructure Developers , by Region USD Million (2017-2022)
  • Table 7. Automotive Cloud Cloud Service Providers , by Region USD Million (2017-2022)
  • Table 8. Automotive Cloud Cybersecurity Service Providers For Automotive , by Region USD Million (2017-2022)
  • Table 9. Automotive Cloud Infotainment OEMs , by Region USD Million (2017-2022)
  • Table 10. Automotive Cloud ADAS & Telematics Suppliers , by Region USD Million (2017-2022)
  • Table 11. Automotive Cloud: by Technology(USD Million)
  • Table 12. Automotive Cloud Artificial Intelligence , by Region USD Million (2017-2022)
  • Table 13. Automotive Cloud Machine Learning , by Region USD Million (2017-2022)
  • Table 14. Automotive Cloud The Internet of Things , by Region USD Million (2017-2022)
  • Table 15. Automotive Cloud: by Features(USD Million)
  • Table 16. Automotive Cloud Data Exchange , by Region USD Million (2017-2022)
  • Table 17. Automotive Cloud Mobility Services , by Region USD Million (2017-2022)
  • Table 18. Automotive Cloud Automotive Cybersecurity , by Region USD Million (2017-2022)
  • Table 19. Automotive Cloud Deep Learning , by Region USD Million (2017-2022)
  • Table 20. Automotive Cloud Telematics-Based Commerce , by Region USD Million (2017-2022)
  • Table 21. South America Automotive Cloud, by Country USD Million (2017-2022)
  • Table 22. South America Automotive Cloud, by Type USD Million (2017-2022)
  • Table 23. South America Automotive Cloud, by Application USD Million (2017-2022)
  • Table 24. South America Automotive Cloud, by Technology USD Million (2017-2022)
  • Table 25. South America Automotive Cloud, by Features USD Million (2017-2022)
  • Table 26. Brazil Automotive Cloud, by Type USD Million (2017-2022)
  • Table 27. Brazil Automotive Cloud, by Application USD Million (2017-2022)
  • Table 28. Brazil Automotive Cloud, by Technology USD Million (2017-2022)
  • Table 29. Brazil Automotive Cloud, by Features USD Million (2017-2022)
  • Table 30. Argentina Automotive Cloud, by Type USD Million (2017-2022)
  • Table 31. Argentina Automotive Cloud, by Application USD Million (2017-2022)
  • Table 32. Argentina Automotive Cloud, by Technology USD Million (2017-2022)
  • Table 33. Argentina Automotive Cloud, by Features USD Million (2017-2022)
  • Table 34. Rest of South America Automotive Cloud, by Type USD Million (2017-2022)
  • Table 35. Rest of South America Automotive Cloud, by Application USD Million (2017-2022)
  • Table 36. Rest of South America Automotive Cloud, by Technology USD Million (2017-2022)
  • Table 37. Rest of South America Automotive Cloud, by Features USD Million (2017-2022)
  • Table 38. Asia Pacific Automotive Cloud, by Country USD Million (2017-2022)
  • Table 39. Asia Pacific Automotive Cloud, by Type USD Million (2017-2022)
  • Table 40. Asia Pacific Automotive Cloud, by Application USD Million (2017-2022)
  • Table 41. Asia Pacific Automotive Cloud, by Technology USD Million (2017-2022)
  • Table 42. Asia Pacific Automotive Cloud, by Features USD Million (2017-2022)
  • Table 43. China Automotive Cloud, by Type USD Million (2017-2022)
  • Table 44. China Automotive Cloud, by Application USD Million (2017-2022)
  • Table 45. China Automotive Cloud, by Technology USD Million (2017-2022)
  • Table 46. China Automotive Cloud, by Features USD Million (2017-2022)
  • Table 47. Japan Automotive Cloud, by Type USD Million (2017-2022)
  • Table 48. Japan Automotive Cloud, by Application USD Million (2017-2022)
  • Table 49. Japan Automotive Cloud, by Technology USD Million (2017-2022)
  • Table 50. Japan Automotive Cloud, by Features USD Million (2017-2022)
  • Table 51. India Automotive Cloud, by Type USD Million (2017-2022)
  • Table 52. India Automotive Cloud, by Application USD Million (2017-2022)
  • Table 53. India Automotive Cloud, by Technology USD Million (2017-2022)
  • Table 54. India Automotive Cloud, by Features USD Million (2017-2022)
  • Table 55. South Korea Automotive Cloud, by Type USD Million (2017-2022)
  • Table 56. South Korea Automotive Cloud, by Application USD Million (2017-2022)
  • Table 57. South Korea Automotive Cloud, by Technology USD Million (2017-2022)
  • Table 58. South Korea Automotive Cloud, by Features USD Million (2017-2022)
  • Table 59. Taiwan Automotive Cloud, by Type USD Million (2017-2022)
  • Table 60. Taiwan Automotive Cloud, by Application USD Million (2017-2022)
  • Table 61. Taiwan Automotive Cloud, by Technology USD Million (2017-2022)
  • Table 62. Taiwan Automotive Cloud, by Features USD Million (2017-2022)
  • Table 63. Australia Automotive Cloud, by Type USD Million (2017-2022)
  • Table 64. Australia Automotive Cloud, by Application USD Million (2017-2022)
  • Table 65. Australia Automotive Cloud, by Technology USD Million (2017-2022)
  • Table 66. Australia Automotive Cloud, by Features USD Million (2017-2022)
  • Table 67. Rest of Asia-Pacific Automotive Cloud, by Type USD Million (2017-2022)
  • Table 68. Rest of Asia-Pacific Automotive Cloud, by Application USD Million (2017-2022)
  • Table 69. Rest of Asia-Pacific Automotive Cloud, by Technology USD Million (2017-2022)
  • Table 70. Rest of Asia-Pacific Automotive Cloud, by Features USD Million (2017-2022)
  • Table 71. Europe Automotive Cloud, by Country USD Million (2017-2022)
  • Table 72. Europe Automotive Cloud, by Type USD Million (2017-2022)
  • Table 73. Europe Automotive Cloud, by Application USD Million (2017-2022)
  • Table 74. Europe Automotive Cloud, by Technology USD Million (2017-2022)
  • Table 75. Europe Automotive Cloud, by Features USD Million (2017-2022)
  • Table 76. Germany Automotive Cloud, by Type USD Million (2017-2022)
  • Table 77. Germany Automotive Cloud, by Application USD Million (2017-2022)
  • Table 78. Germany Automotive Cloud, by Technology USD Million (2017-2022)
  • Table 79. Germany Automotive Cloud, by Features USD Million (2017-2022)
  • Table 80. France Automotive Cloud, by Type USD Million (2017-2022)
  • Table 81. France Automotive Cloud, by Application USD Million (2017-2022)
  • Table 82. France Automotive Cloud, by Technology USD Million (2017-2022)
  • Table 83. France Automotive Cloud, by Features USD Million (2017-2022)
  • Table 84. Italy Automotive Cloud, by Type USD Million (2017-2022)
  • Table 85. Italy Automotive Cloud, by Application USD Million (2017-2022)
  • Table 86. Italy Automotive Cloud, by Technology USD Million (2017-2022)
  • Table 87. Italy Automotive Cloud, by Features USD Million (2017-2022)
  • Table 88. United Kingdom Automotive Cloud, by Type USD Million (2017-2022)
  • Table 89. United Kingdom Automotive Cloud, by Application USD Million (2017-2022)
  • Table 90. United Kingdom Automotive Cloud, by Technology USD Million (2017-2022)
  • Table 91. United Kingdom Automotive Cloud, by Features USD Million (2017-2022)
  • Table 92. Netherlands Automotive Cloud, by Type USD Million (2017-2022)
  • Table 93. Netherlands Automotive Cloud, by Application USD Million (2017-2022)
  • Table 94. Netherlands Automotive Cloud, by Technology USD Million (2017-2022)
  • Table 95. Netherlands Automotive Cloud, by Features USD Million (2017-2022)
  • Table 96. Rest of Europe Automotive Cloud, by Type USD Million (2017-2022)
  • Table 97. Rest of Europe Automotive Cloud, by Application USD Million (2017-2022)
  • Table 98. Rest of Europe Automotive Cloud, by Technology USD Million (2017-2022)
  • Table 99. Rest of Europe Automotive Cloud, by Features USD Million (2017-2022)
  • Table 100. MEA Automotive Cloud, by Country USD Million (2017-2022)
  • Table 101. MEA Automotive Cloud, by Type USD Million (2017-2022)
  • Table 102. MEA Automotive Cloud, by Application USD Million (2017-2022)
  • Table 103. MEA Automotive Cloud, by Technology USD Million (2017-2022)
  • Table 104. MEA Automotive Cloud, by Features USD Million (2017-2022)
  • Table 105. Middle East Automotive Cloud, by Type USD Million (2017-2022)
  • Table 106. Middle East Automotive Cloud, by Application USD Million (2017-2022)
  • Table 107. Middle East Automotive Cloud, by Technology USD Million (2017-2022)
  • Table 108. Middle East Automotive Cloud, by Features USD Million (2017-2022)
  • Table 109. Africa Automotive Cloud, by Type USD Million (2017-2022)
  • Table 110. Africa Automotive Cloud, by Application USD Million (2017-2022)
  • Table 111. Africa Automotive Cloud, by Technology USD Million (2017-2022)
  • Table 112. Africa Automotive Cloud, by Features USD Million (2017-2022)
  • Table 113. North America Automotive Cloud, by Country USD Million (2017-2022)
  • Table 114. North America Automotive Cloud, by Type USD Million (2017-2022)
  • Table 115. North America Automotive Cloud, by Application USD Million (2017-2022)
  • Table 116. North America Automotive Cloud, by Technology USD Million (2017-2022)
  • Table 117. North America Automotive Cloud, by Features USD Million (2017-2022)
  • Table 118. United States Automotive Cloud, by Type USD Million (2017-2022)
  • Table 119. United States Automotive Cloud, by Application USD Million (2017-2022)
  • Table 120. United States Automotive Cloud, by Technology USD Million (2017-2022)
  • Table 121. United States Automotive Cloud, by Features USD Million (2017-2022)
  • Table 122. Canada Automotive Cloud, by Type USD Million (2017-2022)
  • Table 123. Canada Automotive Cloud, by Application USD Million (2017-2022)
  • Table 124. Canada Automotive Cloud, by Technology USD Million (2017-2022)
  • Table 125. Canada Automotive Cloud, by Features USD Million (2017-2022)
  • Table 126. Mexico Automotive Cloud, by Type USD Million (2017-2022)
  • Table 127. Mexico Automotive Cloud, by Application USD Million (2017-2022)
  • Table 128. Mexico Automotive Cloud, by Technology USD Million (2017-2022)
  • Table 129. Mexico Automotive Cloud, by Features USD Million (2017-2022)
  • 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 Type(USD Million)
  • Table 146. Automotive Cloud Private Cloud , by Region USD Million (2023-2028)
  • Table 147. Automotive Cloud Public Cloud , by Region USD Million (2023-2028)
  • Table 148. Automotive Cloud: by Application(USD Million)
  • Table 149. Automotive Cloud Automotive OEMs , by Region USD Million (2023-2028)
  • Table 150. Automotive Cloud Cloud Infrastructure Developers , by Region USD Million (2023-2028)
  • Table 151. Automotive Cloud Cloud Service Providers , by Region USD Million (2023-2028)
  • Table 152. Automotive Cloud Cybersecurity Service Providers For Automotive , by Region USD Million (2023-2028)
  • Table 153. Automotive Cloud Infotainment OEMs , by Region USD Million (2023-2028)
  • Table 154. Automotive Cloud ADAS & Telematics Suppliers , by Region USD Million (2023-2028)
  • Table 155. Automotive Cloud: by Technology(USD Million)
  • Table 156. Automotive Cloud Artificial Intelligence , by Region USD Million (2023-2028)
  • Table 157. Automotive Cloud Machine Learning , by Region USD Million (2023-2028)
  • Table 158. Automotive Cloud The Internet of Things , by Region USD Million (2023-2028)
  • Table 159. Automotive Cloud: by Features(USD Million)
  • Table 160. Automotive Cloud Data Exchange , by Region USD Million (2023-2028)
  • Table 161. Automotive Cloud Mobility Services , by Region USD Million (2023-2028)
  • Table 162. Automotive Cloud Automotive Cybersecurity , by Region USD Million (2023-2028)
  • Table 163. Automotive Cloud Deep Learning , by Region USD Million (2023-2028)
  • Table 164. Automotive Cloud Telematics-Based Commerce , by Region USD Million (2023-2028)
  • Table 165. South America Automotive Cloud, by Country USD Million (2023-2028)
  • Table 166. South America Automotive Cloud, by Type USD Million (2023-2028)
  • Table 167. South America Automotive Cloud, by Application USD Million (2023-2028)
  • Table 168. South America Automotive Cloud, by Technology USD Million (2023-2028)
  • Table 169. South America Automotive Cloud, by Features USD Million (2023-2028)
  • Table 170. Brazil Automotive Cloud, by Type USD Million (2023-2028)
  • Table 171. Brazil Automotive Cloud, by Application USD Million (2023-2028)
  • Table 172. Brazil Automotive Cloud, by Technology USD Million (2023-2028)
  • Table 173. Brazil Automotive Cloud, by Features USD Million (2023-2028)
  • Table 174. Argentina Automotive Cloud, by Type USD Million (2023-2028)
  • Table 175. Argentina Automotive Cloud, by Application USD Million (2023-2028)
  • Table 176. Argentina Automotive Cloud, by Technology USD Million (2023-2028)
  • Table 177. Argentina Automotive Cloud, by Features USD Million (2023-2028)
  • Table 178. Rest of South America Automotive Cloud, by Type USD Million (2023-2028)
  • Table 179. Rest of South America Automotive Cloud, by Application USD Million (2023-2028)
  • Table 180. Rest of South America Automotive Cloud, by Technology USD Million (2023-2028)
  • Table 181. Rest of South America Automotive Cloud, by Features USD Million (2023-2028)
  • Table 182. Asia Pacific Automotive Cloud, by Country USD Million (2023-2028)
  • Table 183. Asia Pacific Automotive Cloud, by Type USD Million (2023-2028)
  • Table 184. Asia Pacific Automotive Cloud, by Application USD Million (2023-2028)
  • Table 185. Asia Pacific Automotive Cloud, by Technology USD Million (2023-2028)
  • Table 186. Asia Pacific Automotive Cloud, by Features USD Million (2023-2028)
  • Table 187. China Automotive Cloud, by Type USD Million (2023-2028)
  • Table 188. China Automotive Cloud, by Application USD Million (2023-2028)
  • Table 189. China Automotive Cloud, by Technology USD Million (2023-2028)
  • Table 190. China Automotive Cloud, by Features USD Million (2023-2028)
  • Table 191. Japan Automotive Cloud, by Type USD Million (2023-2028)
  • Table 192. Japan Automotive Cloud, by Application USD Million (2023-2028)
  • Table 193. Japan Automotive Cloud, by Technology USD Million (2023-2028)
  • Table 194. Japan Automotive Cloud, by Features USD Million (2023-2028)
  • Table 195. India Automotive Cloud, by Type USD Million (2023-2028)
  • Table 196. India Automotive Cloud, by Application USD Million (2023-2028)
  • Table 197. India Automotive Cloud, by Technology USD Million (2023-2028)
  • Table 198. India Automotive Cloud, by Features USD Million (2023-2028)
  • Table 199. South Korea Automotive Cloud, by Type USD Million (2023-2028)
  • Table 200. South Korea Automotive Cloud, by Application USD Million (2023-2028)
  • Table 201. South Korea Automotive Cloud, by Technology USD Million (2023-2028)
  • Table 202. South Korea Automotive Cloud, by Features USD Million (2023-2028)
  • Table 203. Taiwan Automotive Cloud, by Type USD Million (2023-2028)
  • Table 204. Taiwan Automotive Cloud, by Application USD Million (2023-2028)
  • Table 205. Taiwan Automotive Cloud, by Technology USD Million (2023-2028)
  • Table 206. Taiwan Automotive Cloud, by Features USD Million (2023-2028)
  • Table 207. Australia Automotive Cloud, by Type USD Million (2023-2028)
  • Table 208. Australia Automotive Cloud, by Application USD Million (2023-2028)
  • Table 209. Australia Automotive Cloud, by Technology USD Million (2023-2028)
  • Table 210. Australia Automotive Cloud, by Features USD Million (2023-2028)
  • Table 211. Rest of Asia-Pacific Automotive Cloud, by Type USD Million (2023-2028)
  • Table 212. Rest of Asia-Pacific Automotive Cloud, by Application USD Million (2023-2028)
  • Table 213. Rest of Asia-Pacific Automotive Cloud, by Technology USD Million (2023-2028)
  • Table 214. Rest of Asia-Pacific Automotive Cloud, by Features USD Million (2023-2028)
  • Table 215. Europe Automotive Cloud, by Country USD Million (2023-2028)
  • Table 216. Europe Automotive Cloud, by Type USD Million (2023-2028)
  • Table 217. Europe Automotive Cloud, by Application USD Million (2023-2028)
  • Table 218. Europe Automotive Cloud, by Technology USD Million (2023-2028)
  • Table 219. Europe Automotive Cloud, by Features USD Million (2023-2028)
  • Table 220. Germany Automotive Cloud, by Type USD Million (2023-2028)
  • Table 221. Germany Automotive Cloud, by Application USD Million (2023-2028)
  • Table 222. Germany Automotive Cloud, by Technology USD Million (2023-2028)
  • Table 223. Germany Automotive Cloud, by Features USD Million (2023-2028)
  • Table 224. France Automotive Cloud, by Type USD Million (2023-2028)
  • Table 225. France Automotive Cloud, by Application USD Million (2023-2028)
  • Table 226. France Automotive Cloud, by Technology USD Million (2023-2028)
  • Table 227. France Automotive Cloud, by Features USD Million (2023-2028)
  • Table 228. Italy Automotive Cloud, by Type USD Million (2023-2028)
  • Table 229. Italy Automotive Cloud, by Application USD Million (2023-2028)
  • Table 230. Italy Automotive Cloud, by Technology USD Million (2023-2028)
  • Table 231. Italy Automotive Cloud, by Features USD Million (2023-2028)
  • Table 232. United Kingdom Automotive Cloud, by Type USD Million (2023-2028)
  • Table 233. United Kingdom Automotive Cloud, by Application USD Million (2023-2028)
  • Table 234. United Kingdom Automotive Cloud, by Technology USD Million (2023-2028)
  • Table 235. United Kingdom Automotive Cloud, by Features USD Million (2023-2028)
  • Table 236. Netherlands Automotive Cloud, by Type USD Million (2023-2028)
  • Table 237. Netherlands Automotive Cloud, by Application USD Million (2023-2028)
  • Table 238. Netherlands Automotive Cloud, by Technology USD Million (2023-2028)
  • Table 239. Netherlands Automotive Cloud, by Features USD Million (2023-2028)
  • Table 240. Rest of Europe Automotive Cloud, by Type USD Million (2023-2028)
  • Table 241. Rest of Europe Automotive Cloud, by Application USD Million (2023-2028)
  • Table 242. Rest of Europe Automotive Cloud, by Technology USD Million (2023-2028)
  • Table 243. Rest of Europe Automotive Cloud, by Features USD Million (2023-2028)
  • Table 244. MEA Automotive Cloud, by Country USD Million (2023-2028)
  • Table 245. MEA Automotive Cloud, by Type USD Million (2023-2028)
  • Table 246. MEA Automotive Cloud, by Application USD Million (2023-2028)
  • Table 247. MEA Automotive Cloud, by Technology USD Million (2023-2028)
  • Table 248. MEA Automotive Cloud, by Features USD Million (2023-2028)
  • Table 249. Middle East Automotive Cloud, by Type USD Million (2023-2028)
  • Table 250. Middle East Automotive Cloud, by Application USD Million (2023-2028)
  • Table 251. Middle East Automotive Cloud, by Technology USD Million (2023-2028)
  • Table 252. Middle East Automotive Cloud, by Features USD Million (2023-2028)
  • Table 253. Africa Automotive Cloud, by Type USD Million (2023-2028)
  • Table 254. Africa Automotive Cloud, by Application USD Million (2023-2028)
  • Table 255. Africa Automotive Cloud, by Technology USD Million (2023-2028)
  • Table 256. Africa Automotive Cloud, by Features USD Million (2023-2028)
  • Table 257. North America Automotive Cloud, by Country USD Million (2023-2028)
  • Table 258. North America Automotive Cloud, by Type USD Million (2023-2028)
  • Table 259. North America Automotive Cloud, by Application USD Million (2023-2028)
  • Table 260. North America Automotive Cloud, by Technology USD Million (2023-2028)
  • Table 261. North America Automotive Cloud, by Features USD Million (2023-2028)
  • Table 262. United States Automotive Cloud, by Type USD Million (2023-2028)
  • Table 263. United States Automotive Cloud, by Application USD Million (2023-2028)
  • Table 264. United States Automotive Cloud, by Technology USD Million (2023-2028)
  • Table 265. United States Automotive Cloud, by Features USD Million (2023-2028)
  • Table 266. Canada Automotive Cloud, by Type USD Million (2023-2028)
  • Table 267. Canada Automotive Cloud, by Application USD Million (2023-2028)
  • Table 268. Canada Automotive Cloud, by Technology USD Million (2023-2028)
  • Table 269. Canada Automotive Cloud, by Features USD Million (2023-2028)
  • Table 270. Mexico Automotive Cloud, by Type USD Million (2023-2028)
  • Table 271. Mexico Automotive Cloud, by Application USD Million (2023-2028)
  • Table 272. Mexico Automotive Cloud, by Technology USD Million (2023-2028)
  • Table 273. Mexico Automotive Cloud, by Features USD Million (2023-2028)
  • 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 Type USD Million (2017-2022)
  • Figure 5. Global Automotive Cloud: by Application USD Million (2017-2022)
  • Figure 6. Global Automotive Cloud: by Technology USD Million (2017-2022)
  • Figure 7. Global Automotive Cloud: by Features USD Million (2017-2022)
  • 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 2022 (%)
  • Figure 14. Global Automotive Cloud share by Players (Top 3) 2022(%)
  • Figure 15. Global Automotive Cloud share by Players (Top 5) 2022(%)
  • 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 2022
  • Figure 19. BlackBerry (Canada) Revenue, Net Income and Gross profit
  • Figure 20. BlackBerry (Canada) Revenue: by Geography 2022
  • Figure 21. Verizon Wireless (United States) Revenue, Net Income and Gross profit
  • Figure 22. Verizon Wireless (United States) Revenue: by Geography 2022
  • Figure 23. Continental AG (Germany) Revenue, Net Income and Gross profit
  • Figure 24. Continental AG (Germany) Revenue: by Geography 2022
  • Figure 25. Ericsson (Sweden) Revenue, Net Income and Gross profit
  • Figure 26. Ericsson (Sweden) Revenue: by Geography 2022
  • Figure 27. Bosch (Germany) Revenue, Net Income and Gross profit
  • Figure 28. Bosch (Germany) Revenue: by Geography 2022
  • Figure 29. Pioneer (Japan) Revenue, Net Income and Gross profit
  • Figure 30. Pioneer (Japan) Revenue: by Geography 2022
  • Figure 31. Denso Corporation (Japan) Revenue, Net Income and Gross profit
  • Figure 32. Denso Corporation (Japan) Revenue: by Geography 2022
  • 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 2022
  • Figure 35. SHIFTMobility Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 36. SHIFTMobility Inc. (United States) Revenue: by Geography 2022
  • Figure 37. Delphi Automotive (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 38. Delphi Automotive (United Kingdom) Revenue: by Geography 2022
  • Figure 39. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 40. Microsoft (United States) Revenue: by Geography 2022
  • Figure 41. SAP (United States) Revenue, Net Income and Gross profit
  • Figure 42. SAP (United States) Revenue: by Geography 2022
  • Figure 43. Amazon Web Services Revenue, Net Income and Gross profit
  • Figure 44. Amazon Web Services Revenue: by Geography 2022
  • Figure 45. Intellias (Ukraine Revenue, Net Income and Gross profit
  • Figure 46. Intellias (Ukraine Revenue: by Geography 2022
  • Figure 47. Global Automotive Cloud: by Type USD Million (2023-2028)
  • Figure 48. Global Automotive Cloud: by Application USD Million (2023-2028)
  • Figure 49. Global Automotive Cloud: by Technology USD Million (2023-2028)
  • Figure 50. Global Automotive Cloud: by Features USD Million (2023-2028)
  • 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
List of companies from research coverage that are profiled in the study
  • 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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Key Highlights of Report


May 2023 227 Pages 93 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Global Automotive Cloud Market Quantitative research analysis
Global Automotive Cloud Market Qualitative Industry Analysis
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Historical year: 2018-2022; Base year: 2022; Forecast period: 2023 to 2028
Companies that are profiled in Global Automotive Cloud Market 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 etc.
Automotive OEMs segment in Global market to hold robust market share owing to "Increasing Technology Advancement Potential Offered by Cloud Computing, Big Data, Machine Learning, and Mobility Systems, Automotive Cloud Technology ".
AMA Research predicts that United States Players will contribute to the maximum growth of Global Automotive Cloud market throughout the forecasted period.

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