Digital Transformation for Auto motive Comprehensive Study by Technology (Internet of Things (IoT), Artificial Intelligence, Machine Learning), Vehicle Type (Two-Wheeler, Passenger Car, Commercial Vehicle, LCVs, HCVs), Connectivity (5G, Wi-Fi, Bluetooth, Vehicle-to-everything (V2X)), Component (Hardware, Software, Service) Players and Region - Global Market Outlook to 2027

Digital Transformation for Auto motive Market by XX Submarkets | Forecast Years 2022-2027  

  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About Digital Transformation for Auto motive
The automotive industry is rapidly evolving, from technological advancements to digital transformation. Consumers are becoming more demanding in terms of obtaining a more advanced and superior experience, which is why digital transformation in automotive is becoming increasingly important. Digitization is becoming a growing investment in the automotive industry. Industry companies recognize that, like every other digital sector, they must transform to meet customer demands. The automobile industry is running more rapidly than ever before, thanks to the introduction of new technology in the plant as well as novel consumer goods. Automotive manufacturers have been incorporating digital technology into all aspects of their operations, from product design to procurement, production, and supply chain management, as well as sales and marketing.

AttributesDetails
Study Period2017-2027
Base Year2021
UnitValue (USD Million)


The market for Digital Transformation for Auto motive is highly competitive with several global as well as local players in the market. The global players are trying various strategies such as service innovation and using various marketing strategies to gain a higher market share. Analyst at AMA Research estimates that United States Vendors will contribute the maximum growth to Global Digital Transformation for Auto motive market throughout the forecasted period. Established and emerging Vendors should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

IBM (United States), Microsoft (United States), Google (United States), Texas Instruments (United States), Cisco Systems, Inc. (United States), Capgemini (France), Dell (United States), Mahindra & Mahindra Ltd. (India), SAP SE (Germany), Cognizant (United States) and HARMAN International. (United States) are some of the key players that are part of study coverage. Additionally, the Vendors which are also part of the research coverage are NXP Semiconductors (Netherlands), T-Systems International (Germany) and Ericsson (Sweden).

Segmentation Overview
AMA Research has segmented the market of Global Digital Transformation for Auto motive market by and Region.



On the basis of geography, the market of Digital Transformation for Auto motive has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). If we see Market by Technology, the sub-segment i.e. Internet of Things (IoT) will boost the Digital Transformation for Auto motive market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Vehicle Type, the sub-segment i.e. Two-Wheeler will boost the Digital Transformation for Auto motive market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Connectivity, the sub-segment i.e. 5G will boost the Digital Transformation for Auto motive market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Component, the sub-segment i.e. Hardware will boost the Digital Transformation for Auto motive market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

On 21 January 2022, Mahindra & Mahindra (M&M) has Partnered with SAP to spearhead its digital transformation journey SAP will enable Mumbai-based automaker to successfully modernize its technology landscape and enhance overall operations


Market Drivers
  • Rising Application of AI and Cloud-Based Technology in Retail Industry
  • Emphasizing on Innovative Mobile Logistics System

Opportunities
  • Growth and Expansion of Automotive Industry
  • Rising Demand For Luxurious Features in Automotive
  • Increasing Demand for Passenger Cars in Developing Countries

Restraints
  • High Cost of Continually Upgrading Software and Privacy Concern Due to Increasing Cyberattacks

Challenges
  • Difficulty in Integration of Application through an Application Program Interface (API)


Key Target Audience
Digital Transformation for Auto motives, New Entrants and Investors, Venture Capitalists, Government Bodies, Corporate Entities, Government and Private Research Organizations and Others

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have the better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with purpose to understand company’s positioning regarding market value, volume and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders etc. and work towards appointment generation.

The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, analyst team keeps preparing set of questionnaires and after getting appointee list; the target audience are then tapped and segregated with various mediums and channels that are feasible for making connection that includes email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey etc.

Report Objectives / Segmentation Covered

By Technology
  • Internet of Things (IoT)
  • Artificial Intelligence
  • Machine Learning

By Vehicle Type
  • Two-Wheeler
  • Passenger Car
  • Commercial Vehicle
  • LCVs
  • HCVs

By Connectivity
  • 5G
  • Wi-Fi
  • Bluetooth
  • Vehicle-to-everything (V2X)

By Component
  • Hardware
  • Software
  • Service

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Rising Application of AI and Cloud-Based Technology in Retail Industry
      • 3.2.2. Emphasizing on Innovative Mobile Logistics System
    • 3.3. Market Challenges
      • 3.3.1. Difficulty in Integration of Application through an Application Program Interface (API)
    • 3.4. Market Trends
      • 3.4.1. Surging Demand for IoT and Big Data Analysis Solutions in the Automotive Sector Will Boost the Market
  • 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 Digital Transformation for Auto motive, by Technology, Vehicle Type, Connectivity, Component and Region (value and price ) (2016-2021)
    • 5.1. Introduction
    • 5.2. Global Digital Transformation for Auto motive (Value)
      • 5.2.1. Global Digital Transformation for Auto motive by: Technology (Value)
        • 5.2.1.1. Internet of Things (IoT)
        • 5.2.1.2. Artificial Intelligence
        • 5.2.1.3. Machine Learning
      • 5.2.2. Global Digital Transformation for Auto motive by: Vehicle Type (Value)
        • 5.2.2.1. Two-Wheeler
        • 5.2.2.2. Passenger Car
        • 5.2.2.3. Commercial Vehicle
        • 5.2.2.4. LCVs
        • 5.2.2.5. HCVs
      • 5.2.3. Global Digital Transformation for Auto motive by: Connectivity (Value)
        • 5.2.3.1. 5G
        • 5.2.3.2. Wi-Fi
        • 5.2.3.3. Bluetooth
        • 5.2.3.4. Vehicle-to-everything (V2X)
      • 5.2.4. Global Digital Transformation for Auto motive by: Component (Value)
        • 5.2.4.1. Hardware
        • 5.2.4.2. Software
        • 5.2.4.3. Service
      • 5.2.5. Global Digital Transformation for Auto motive Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Australia
          • 5.2.5.2.6. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
    • 5.3. Global Digital Transformation for Auto motive (Price)
  • 6. Digital Transformation for Auto motive: 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 (2021)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. IBM (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. Microsoft (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Google (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. Texas Instruments (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Cisco Systems, Inc. (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. Capgemini (France)
        • 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. Dell (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Mahindra & Mahindra Ltd. (India)
        • 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. SAP SE (Germany)
        • 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. Cognizant (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. HARMAN International. (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
  • 7. Global Digital Transformation for Auto motive Sale, by Technology, Vehicle Type, Connectivity, Component and Region (value and price ) (2022-2027)
    • 7.1. Introduction
    • 7.2. Global Digital Transformation for Auto motive (Value)
      • 7.2.1. Global Digital Transformation for Auto motive by: Technology (Value)
        • 7.2.1.1. Internet of Things (IoT)
        • 7.2.1.2. Artificial Intelligence
        • 7.2.1.3. Machine Learning
      • 7.2.2. Global Digital Transformation for Auto motive by: Vehicle Type (Value)
        • 7.2.2.1. Two-Wheeler
        • 7.2.2.2. Passenger Car
        • 7.2.2.3. Commercial Vehicle
        • 7.2.2.4. LCVs
        • 7.2.2.5. HCVs
      • 7.2.3. Global Digital Transformation for Auto motive by: Connectivity (Value)
        • 7.2.3.1. 5G
        • 7.2.3.2. Wi-Fi
        • 7.2.3.3. Bluetooth
        • 7.2.3.4. Vehicle-to-everything (V2X)
      • 7.2.4. Global Digital Transformation for Auto motive by: Component (Value)
        • 7.2.4.1. Hardware
        • 7.2.4.2. Software
        • 7.2.4.3. Service
      • 7.2.5. Global Digital Transformation for Auto motive Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Australia
          • 7.2.5.2.6. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
    • 7.3. Global Digital Transformation for Auto motive (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Digital Transformation for Auto motive: by Technology(USD Million)
  • Table 2. Digital Transformation for Auto motive Internet of Things (IoT) , by Region USD Million (2016-2021)
  • Table 3. Digital Transformation for Auto motive Artificial Intelligence , by Region USD Million (2016-2021)
  • Table 4. Digital Transformation for Auto motive Machine Learning , by Region USD Million (2016-2021)
  • Table 5. Digital Transformation for Auto motive: by Vehicle Type(USD Million)
  • Table 6. Digital Transformation for Auto motive Two-Wheeler , by Region USD Million (2016-2021)
  • Table 7. Digital Transformation for Auto motive Passenger Car , by Region USD Million (2016-2021)
  • Table 8. Digital Transformation for Auto motive Commercial Vehicle , by Region USD Million (2016-2021)
  • Table 9. Digital Transformation for Auto motive LCVs , by Region USD Million (2016-2021)
  • Table 10. Digital Transformation for Auto motive HCVs , by Region USD Million (2016-2021)
  • Table 11. Digital Transformation for Auto motive: by Connectivity(USD Million)
  • Table 12. Digital Transformation for Auto motive 5G , by Region USD Million (2016-2021)
  • Table 13. Digital Transformation for Auto motive Wi-Fi , by Region USD Million (2016-2021)
  • Table 14. Digital Transformation for Auto motive Bluetooth , by Region USD Million (2016-2021)
  • Table 15. Digital Transformation for Auto motive Vehicle-to-everything (V2X) , by Region USD Million (2016-2021)
  • Table 16. Digital Transformation for Auto motive: by Component(USD Million)
  • Table 17. Digital Transformation for Auto motive Hardware , by Region USD Million (2016-2021)
  • Table 18. Digital Transformation for Auto motive Software , by Region USD Million (2016-2021)
  • Table 19. Digital Transformation for Auto motive Service , by Region USD Million (2016-2021)
  • Table 20. South America Digital Transformation for Auto motive, by Country USD Million (2016-2021)
  • Table 21. South America Digital Transformation for Auto motive, by Technology USD Million (2016-2021)
  • Table 22. South America Digital Transformation for Auto motive, by Vehicle Type USD Million (2016-2021)
  • Table 23. South America Digital Transformation for Auto motive, by Connectivity USD Million (2016-2021)
  • Table 24. South America Digital Transformation for Auto motive, by Component USD Million (2016-2021)
  • Table 25. Brazil Digital Transformation for Auto motive, by Technology USD Million (2016-2021)
  • Table 26. Brazil Digital Transformation for Auto motive, by Vehicle Type USD Million (2016-2021)
  • Table 27. Brazil Digital Transformation for Auto motive, by Connectivity USD Million (2016-2021)
  • Table 28. Brazil Digital Transformation for Auto motive, by Component USD Million (2016-2021)
  • Table 29. Argentina Digital Transformation for Auto motive, by Technology USD Million (2016-2021)
  • Table 30. Argentina Digital Transformation for Auto motive, by Vehicle Type USD Million (2016-2021)
  • Table 31. Argentina Digital Transformation for Auto motive, by Connectivity USD Million (2016-2021)
  • Table 32. Argentina Digital Transformation for Auto motive, by Component USD Million (2016-2021)
  • Table 33. Rest of South America Digital Transformation for Auto motive, by Technology USD Million (2016-2021)
  • Table 34. Rest of South America Digital Transformation for Auto motive, by Vehicle Type USD Million (2016-2021)
  • Table 35. Rest of South America Digital Transformation for Auto motive, by Connectivity USD Million (2016-2021)
  • Table 36. Rest of South America Digital Transformation for Auto motive, by Component USD Million (2016-2021)
  • Table 37. Asia Pacific Digital Transformation for Auto motive, by Country USD Million (2016-2021)
  • Table 38. Asia Pacific Digital Transformation for Auto motive, by Technology USD Million (2016-2021)
  • Table 39. Asia Pacific Digital Transformation for Auto motive, by Vehicle Type USD Million (2016-2021)
  • Table 40. Asia Pacific Digital Transformation for Auto motive, by Connectivity USD Million (2016-2021)
  • Table 41. Asia Pacific Digital Transformation for Auto motive, by Component USD Million (2016-2021)
  • Table 42. China Digital Transformation for Auto motive, by Technology USD Million (2016-2021)
  • Table 43. China Digital Transformation for Auto motive, by Vehicle Type USD Million (2016-2021)
  • Table 44. China Digital Transformation for Auto motive, by Connectivity USD Million (2016-2021)
  • Table 45. China Digital Transformation for Auto motive, by Component USD Million (2016-2021)
  • Table 46. Japan Digital Transformation for Auto motive, by Technology USD Million (2016-2021)
  • Table 47. Japan Digital Transformation for Auto motive, by Vehicle Type USD Million (2016-2021)
  • Table 48. Japan Digital Transformation for Auto motive, by Connectivity USD Million (2016-2021)
  • Table 49. Japan Digital Transformation for Auto motive, by Component USD Million (2016-2021)
  • Table 50. India Digital Transformation for Auto motive, by Technology USD Million (2016-2021)
  • Table 51. India Digital Transformation for Auto motive, by Vehicle Type USD Million (2016-2021)
  • Table 52. India Digital Transformation for Auto motive, by Connectivity USD Million (2016-2021)
  • Table 53. India Digital Transformation for Auto motive, by Component USD Million (2016-2021)
  • Table 54. South Korea Digital Transformation for Auto motive, by Technology USD Million (2016-2021)
  • Table 55. South Korea Digital Transformation for Auto motive, by Vehicle Type USD Million (2016-2021)
  • Table 56. South Korea Digital Transformation for Auto motive, by Connectivity USD Million (2016-2021)
  • Table 57. South Korea Digital Transformation for Auto motive, by Component USD Million (2016-2021)
  • Table 58. Australia Digital Transformation for Auto motive, by Technology USD Million (2016-2021)
  • Table 59. Australia Digital Transformation for Auto motive, by Vehicle Type USD Million (2016-2021)
  • Table 60. Australia Digital Transformation for Auto motive, by Connectivity USD Million (2016-2021)
  • Table 61. Australia Digital Transformation for Auto motive, by Component USD Million (2016-2021)
  • Table 62. Rest of Asia-Pacific Digital Transformation for Auto motive, by Technology USD Million (2016-2021)
  • Table 63. Rest of Asia-Pacific Digital Transformation for Auto motive, by Vehicle Type USD Million (2016-2021)
  • Table 64. Rest of Asia-Pacific Digital Transformation for Auto motive, by Connectivity USD Million (2016-2021)
  • Table 65. Rest of Asia-Pacific Digital Transformation for Auto motive, by Component USD Million (2016-2021)
  • Table 66. Europe Digital Transformation for Auto motive, by Country USD Million (2016-2021)
  • Table 67. Europe Digital Transformation for Auto motive, by Technology USD Million (2016-2021)
  • Table 68. Europe Digital Transformation for Auto motive, by Vehicle Type USD Million (2016-2021)
  • Table 69. Europe Digital Transformation for Auto motive, by Connectivity USD Million (2016-2021)
  • Table 70. Europe Digital Transformation for Auto motive, by Component USD Million (2016-2021)
  • Table 71. Germany Digital Transformation for Auto motive, by Technology USD Million (2016-2021)
  • Table 72. Germany Digital Transformation for Auto motive, by Vehicle Type USD Million (2016-2021)
  • Table 73. Germany Digital Transformation for Auto motive, by Connectivity USD Million (2016-2021)
  • Table 74. Germany Digital Transformation for Auto motive, by Component USD Million (2016-2021)
  • Table 75. France Digital Transformation for Auto motive, by Technology USD Million (2016-2021)
  • Table 76. France Digital Transformation for Auto motive, by Vehicle Type USD Million (2016-2021)
  • Table 77. France Digital Transformation for Auto motive, by Connectivity USD Million (2016-2021)
  • Table 78. France Digital Transformation for Auto motive, by Component USD Million (2016-2021)
  • Table 79. Italy Digital Transformation for Auto motive, by Technology USD Million (2016-2021)
  • Table 80. Italy Digital Transformation for Auto motive, by Vehicle Type USD Million (2016-2021)
  • Table 81. Italy Digital Transformation for Auto motive, by Connectivity USD Million (2016-2021)
  • Table 82. Italy Digital Transformation for Auto motive, by Component USD Million (2016-2021)
  • Table 83. United Kingdom Digital Transformation for Auto motive, by Technology USD Million (2016-2021)
  • Table 84. United Kingdom Digital Transformation for Auto motive, by Vehicle Type USD Million (2016-2021)
  • Table 85. United Kingdom Digital Transformation for Auto motive, by Connectivity USD Million (2016-2021)
  • Table 86. United Kingdom Digital Transformation for Auto motive, by Component USD Million (2016-2021)
  • Table 87. Netherlands Digital Transformation for Auto motive, by Technology USD Million (2016-2021)
  • Table 88. Netherlands Digital Transformation for Auto motive, by Vehicle Type USD Million (2016-2021)
  • Table 89. Netherlands Digital Transformation for Auto motive, by Connectivity USD Million (2016-2021)
  • Table 90. Netherlands Digital Transformation for Auto motive, by Component USD Million (2016-2021)
  • Table 91. Rest of Europe Digital Transformation for Auto motive, by Technology USD Million (2016-2021)
  • Table 92. Rest of Europe Digital Transformation for Auto motive, by Vehicle Type USD Million (2016-2021)
  • Table 93. Rest of Europe Digital Transformation for Auto motive, by Connectivity USD Million (2016-2021)
  • Table 94. Rest of Europe Digital Transformation for Auto motive, by Component USD Million (2016-2021)
  • Table 95. MEA Digital Transformation for Auto motive, by Country USD Million (2016-2021)
  • Table 96. MEA Digital Transformation for Auto motive, by Technology USD Million (2016-2021)
  • Table 97. MEA Digital Transformation for Auto motive, by Vehicle Type USD Million (2016-2021)
  • Table 98. MEA Digital Transformation for Auto motive, by Connectivity USD Million (2016-2021)
  • Table 99. MEA Digital Transformation for Auto motive, by Component USD Million (2016-2021)
  • Table 100. Middle East Digital Transformation for Auto motive, by Technology USD Million (2016-2021)
  • Table 101. Middle East Digital Transformation for Auto motive, by Vehicle Type USD Million (2016-2021)
  • Table 102. Middle East Digital Transformation for Auto motive, by Connectivity USD Million (2016-2021)
  • Table 103. Middle East Digital Transformation for Auto motive, by Component USD Million (2016-2021)
  • Table 104. Africa Digital Transformation for Auto motive, by Technology USD Million (2016-2021)
  • Table 105. Africa Digital Transformation for Auto motive, by Vehicle Type USD Million (2016-2021)
  • Table 106. Africa Digital Transformation for Auto motive, by Connectivity USD Million (2016-2021)
  • Table 107. Africa Digital Transformation for Auto motive, by Component USD Million (2016-2021)
  • Table 108. North America Digital Transformation for Auto motive, by Country USD Million (2016-2021)
  • Table 109. North America Digital Transformation for Auto motive, by Technology USD Million (2016-2021)
  • Table 110. North America Digital Transformation for Auto motive, by Vehicle Type USD Million (2016-2021)
  • Table 111. North America Digital Transformation for Auto motive, by Connectivity USD Million (2016-2021)
  • Table 112. North America Digital Transformation for Auto motive, by Component USD Million (2016-2021)
  • Table 113. United States Digital Transformation for Auto motive, by Technology USD Million (2016-2021)
  • Table 114. United States Digital Transformation for Auto motive, by Vehicle Type USD Million (2016-2021)
  • Table 115. United States Digital Transformation for Auto motive, by Connectivity USD Million (2016-2021)
  • Table 116. United States Digital Transformation for Auto motive, by Component USD Million (2016-2021)
  • Table 117. Canada Digital Transformation for Auto motive, by Technology USD Million (2016-2021)
  • Table 118. Canada Digital Transformation for Auto motive, by Vehicle Type USD Million (2016-2021)
  • Table 119. Canada Digital Transformation for Auto motive, by Connectivity USD Million (2016-2021)
  • Table 120. Canada Digital Transformation for Auto motive, by Component USD Million (2016-2021)
  • Table 121. Mexico Digital Transformation for Auto motive, by Technology USD Million (2016-2021)
  • Table 122. Mexico Digital Transformation for Auto motive, by Vehicle Type USD Million (2016-2021)
  • Table 123. Mexico Digital Transformation for Auto motive, by Connectivity USD Million (2016-2021)
  • Table 124. Mexico Digital Transformation for Auto motive, by Component USD Million (2016-2021)
  • Table 125. Company Basic Information, Sales Area and Its Competitors
  • Table 126. Company Basic Information, Sales Area and Its Competitors
  • Table 127. Company Basic Information, Sales Area and Its Competitors
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Digital Transformation for Auto motive: by Technology(USD Million)
  • Table 137. Digital Transformation for Auto motive Internet of Things (IoT) , by Region USD Million (2022-2027)
  • Table 138. Digital Transformation for Auto motive Artificial Intelligence , by Region USD Million (2022-2027)
  • Table 139. Digital Transformation for Auto motive Machine Learning , by Region USD Million (2022-2027)
  • Table 140. Digital Transformation for Auto motive: by Vehicle Type(USD Million)
  • Table 141. Digital Transformation for Auto motive Two-Wheeler , by Region USD Million (2022-2027)
  • Table 142. Digital Transformation for Auto motive Passenger Car , by Region USD Million (2022-2027)
  • Table 143. Digital Transformation for Auto motive Commercial Vehicle , by Region USD Million (2022-2027)
  • Table 144. Digital Transformation for Auto motive LCVs , by Region USD Million (2022-2027)
  • Table 145. Digital Transformation for Auto motive HCVs , by Region USD Million (2022-2027)
  • Table 146. Digital Transformation for Auto motive: by Connectivity(USD Million)
  • Table 147. Digital Transformation for Auto motive 5G , by Region USD Million (2022-2027)
  • Table 148. Digital Transformation for Auto motive Wi-Fi , by Region USD Million (2022-2027)
  • Table 149. Digital Transformation for Auto motive Bluetooth , by Region USD Million (2022-2027)
  • Table 150. Digital Transformation for Auto motive Vehicle-to-everything (V2X) , by Region USD Million (2022-2027)
  • Table 151. Digital Transformation for Auto motive: by Component(USD Million)
  • Table 152. Digital Transformation for Auto motive Hardware , by Region USD Million (2022-2027)
  • Table 153. Digital Transformation for Auto motive Software , by Region USD Million (2022-2027)
  • Table 154. Digital Transformation for Auto motive Service , by Region USD Million (2022-2027)
  • Table 155. South America Digital Transformation for Auto motive, by Country USD Million (2022-2027)
  • Table 156. South America Digital Transformation for Auto motive, by Technology USD Million (2022-2027)
  • Table 157. South America Digital Transformation for Auto motive, by Vehicle Type USD Million (2022-2027)
  • Table 158. South America Digital Transformation for Auto motive, by Connectivity USD Million (2022-2027)
  • Table 159. South America Digital Transformation for Auto motive, by Component USD Million (2022-2027)
  • Table 160. Brazil Digital Transformation for Auto motive, by Technology USD Million (2022-2027)
  • Table 161. Brazil Digital Transformation for Auto motive, by Vehicle Type USD Million (2022-2027)
  • Table 162. Brazil Digital Transformation for Auto motive, by Connectivity USD Million (2022-2027)
  • Table 163. Brazil Digital Transformation for Auto motive, by Component USD Million (2022-2027)
  • Table 164. Argentina Digital Transformation for Auto motive, by Technology USD Million (2022-2027)
  • Table 165. Argentina Digital Transformation for Auto motive, by Vehicle Type USD Million (2022-2027)
  • Table 166. Argentina Digital Transformation for Auto motive, by Connectivity USD Million (2022-2027)
  • Table 167. Argentina Digital Transformation for Auto motive, by Component USD Million (2022-2027)
  • Table 168. Rest of South America Digital Transformation for Auto motive, by Technology USD Million (2022-2027)
  • Table 169. Rest of South America Digital Transformation for Auto motive, by Vehicle Type USD Million (2022-2027)
  • Table 170. Rest of South America Digital Transformation for Auto motive, by Connectivity USD Million (2022-2027)
  • Table 171. Rest of South America Digital Transformation for Auto motive, by Component USD Million (2022-2027)
  • Table 172. Asia Pacific Digital Transformation for Auto motive, by Country USD Million (2022-2027)
  • Table 173. Asia Pacific Digital Transformation for Auto motive, by Technology USD Million (2022-2027)
  • Table 174. Asia Pacific Digital Transformation for Auto motive, by Vehicle Type USD Million (2022-2027)
  • Table 175. Asia Pacific Digital Transformation for Auto motive, by Connectivity USD Million (2022-2027)
  • Table 176. Asia Pacific Digital Transformation for Auto motive, by Component USD Million (2022-2027)
  • Table 177. China Digital Transformation for Auto motive, by Technology USD Million (2022-2027)
  • Table 178. China Digital Transformation for Auto motive, by Vehicle Type USD Million (2022-2027)
  • Table 179. China Digital Transformation for Auto motive, by Connectivity USD Million (2022-2027)
  • Table 180. China Digital Transformation for Auto motive, by Component USD Million (2022-2027)
  • Table 181. Japan Digital Transformation for Auto motive, by Technology USD Million (2022-2027)
  • Table 182. Japan Digital Transformation for Auto motive, by Vehicle Type USD Million (2022-2027)
  • Table 183. Japan Digital Transformation for Auto motive, by Connectivity USD Million (2022-2027)
  • Table 184. Japan Digital Transformation for Auto motive, by Component USD Million (2022-2027)
  • Table 185. India Digital Transformation for Auto motive, by Technology USD Million (2022-2027)
  • Table 186. India Digital Transformation for Auto motive, by Vehicle Type USD Million (2022-2027)
  • Table 187. India Digital Transformation for Auto motive, by Connectivity USD Million (2022-2027)
  • Table 188. India Digital Transformation for Auto motive, by Component USD Million (2022-2027)
  • Table 189. South Korea Digital Transformation for Auto motive, by Technology USD Million (2022-2027)
  • Table 190. South Korea Digital Transformation for Auto motive, by Vehicle Type USD Million (2022-2027)
  • Table 191. South Korea Digital Transformation for Auto motive, by Connectivity USD Million (2022-2027)
  • Table 192. South Korea Digital Transformation for Auto motive, by Component USD Million (2022-2027)
  • Table 193. Australia Digital Transformation for Auto motive, by Technology USD Million (2022-2027)
  • Table 194. Australia Digital Transformation for Auto motive, by Vehicle Type USD Million (2022-2027)
  • Table 195. Australia Digital Transformation for Auto motive, by Connectivity USD Million (2022-2027)
  • Table 196. Australia Digital Transformation for Auto motive, by Component USD Million (2022-2027)
  • Table 197. Rest of Asia-Pacific Digital Transformation for Auto motive, by Technology USD Million (2022-2027)
  • Table 198. Rest of Asia-Pacific Digital Transformation for Auto motive, by Vehicle Type USD Million (2022-2027)
  • Table 199. Rest of Asia-Pacific Digital Transformation for Auto motive, by Connectivity USD Million (2022-2027)
  • Table 200. Rest of Asia-Pacific Digital Transformation for Auto motive, by Component USD Million (2022-2027)
  • Table 201. Europe Digital Transformation for Auto motive, by Country USD Million (2022-2027)
  • Table 202. Europe Digital Transformation for Auto motive, by Technology USD Million (2022-2027)
  • Table 203. Europe Digital Transformation for Auto motive, by Vehicle Type USD Million (2022-2027)
  • Table 204. Europe Digital Transformation for Auto motive, by Connectivity USD Million (2022-2027)
  • Table 205. Europe Digital Transformation for Auto motive, by Component USD Million (2022-2027)
  • Table 206. Germany Digital Transformation for Auto motive, by Technology USD Million (2022-2027)
  • Table 207. Germany Digital Transformation for Auto motive, by Vehicle Type USD Million (2022-2027)
  • Table 208. Germany Digital Transformation for Auto motive, by Connectivity USD Million (2022-2027)
  • Table 209. Germany Digital Transformation for Auto motive, by Component USD Million (2022-2027)
  • Table 210. France Digital Transformation for Auto motive, by Technology USD Million (2022-2027)
  • Table 211. France Digital Transformation for Auto motive, by Vehicle Type USD Million (2022-2027)
  • Table 212. France Digital Transformation for Auto motive, by Connectivity USD Million (2022-2027)
  • Table 213. France Digital Transformation for Auto motive, by Component USD Million (2022-2027)
  • Table 214. Italy Digital Transformation for Auto motive, by Technology USD Million (2022-2027)
  • Table 215. Italy Digital Transformation for Auto motive, by Vehicle Type USD Million (2022-2027)
  • Table 216. Italy Digital Transformation for Auto motive, by Connectivity USD Million (2022-2027)
  • Table 217. Italy Digital Transformation for Auto motive, by Component USD Million (2022-2027)
  • Table 218. United Kingdom Digital Transformation for Auto motive, by Technology USD Million (2022-2027)
  • Table 219. United Kingdom Digital Transformation for Auto motive, by Vehicle Type USD Million (2022-2027)
  • Table 220. United Kingdom Digital Transformation for Auto motive, by Connectivity USD Million (2022-2027)
  • Table 221. United Kingdom Digital Transformation for Auto motive, by Component USD Million (2022-2027)
  • Table 222. Netherlands Digital Transformation for Auto motive, by Technology USD Million (2022-2027)
  • Table 223. Netherlands Digital Transformation for Auto motive, by Vehicle Type USD Million (2022-2027)
  • Table 224. Netherlands Digital Transformation for Auto motive, by Connectivity USD Million (2022-2027)
  • Table 225. Netherlands Digital Transformation for Auto motive, by Component USD Million (2022-2027)
  • Table 226. Rest of Europe Digital Transformation for Auto motive, by Technology USD Million (2022-2027)
  • Table 227. Rest of Europe Digital Transformation for Auto motive, by Vehicle Type USD Million (2022-2027)
  • Table 228. Rest of Europe Digital Transformation for Auto motive, by Connectivity USD Million (2022-2027)
  • Table 229. Rest of Europe Digital Transformation for Auto motive, by Component USD Million (2022-2027)
  • Table 230. MEA Digital Transformation for Auto motive, by Country USD Million (2022-2027)
  • Table 231. MEA Digital Transformation for Auto motive, by Technology USD Million (2022-2027)
  • Table 232. MEA Digital Transformation for Auto motive, by Vehicle Type USD Million (2022-2027)
  • Table 233. MEA Digital Transformation for Auto motive, by Connectivity USD Million (2022-2027)
  • Table 234. MEA Digital Transformation for Auto motive, by Component USD Million (2022-2027)
  • Table 235. Middle East Digital Transformation for Auto motive, by Technology USD Million (2022-2027)
  • Table 236. Middle East Digital Transformation for Auto motive, by Vehicle Type USD Million (2022-2027)
  • Table 237. Middle East Digital Transformation for Auto motive, by Connectivity USD Million (2022-2027)
  • Table 238. Middle East Digital Transformation for Auto motive, by Component USD Million (2022-2027)
  • Table 239. Africa Digital Transformation for Auto motive, by Technology USD Million (2022-2027)
  • Table 240. Africa Digital Transformation for Auto motive, by Vehicle Type USD Million (2022-2027)
  • Table 241. Africa Digital Transformation for Auto motive, by Connectivity USD Million (2022-2027)
  • Table 242. Africa Digital Transformation for Auto motive, by Component USD Million (2022-2027)
  • Table 243. North America Digital Transformation for Auto motive, by Country USD Million (2022-2027)
  • Table 244. North America Digital Transformation for Auto motive, by Technology USD Million (2022-2027)
  • Table 245. North America Digital Transformation for Auto motive, by Vehicle Type USD Million (2022-2027)
  • Table 246. North America Digital Transformation for Auto motive, by Connectivity USD Million (2022-2027)
  • Table 247. North America Digital Transformation for Auto motive, by Component USD Million (2022-2027)
  • Table 248. United States Digital Transformation for Auto motive, by Technology USD Million (2022-2027)
  • Table 249. United States Digital Transformation for Auto motive, by Vehicle Type USD Million (2022-2027)
  • Table 250. United States Digital Transformation for Auto motive, by Connectivity USD Million (2022-2027)
  • Table 251. United States Digital Transformation for Auto motive, by Component USD Million (2022-2027)
  • Table 252. Canada Digital Transformation for Auto motive, by Technology USD Million (2022-2027)
  • Table 253. Canada Digital Transformation for Auto motive, by Vehicle Type USD Million (2022-2027)
  • Table 254. Canada Digital Transformation for Auto motive, by Connectivity USD Million (2022-2027)
  • Table 255. Canada Digital Transformation for Auto motive, by Component USD Million (2022-2027)
  • Table 256. Mexico Digital Transformation for Auto motive, by Technology USD Million (2022-2027)
  • Table 257. Mexico Digital Transformation for Auto motive, by Vehicle Type USD Million (2022-2027)
  • Table 258. Mexico Digital Transformation for Auto motive, by Connectivity USD Million (2022-2027)
  • Table 259. Mexico Digital Transformation for Auto motive, by Component USD Million (2022-2027)
  • Table 260. Research Programs/Design for This Report
  • Table 261. Key Data Information from Secondary Sources
  • Table 262. 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 Digital Transformation for Auto motive: by Technology USD Million (2016-2021)
  • Figure 5. Global Digital Transformation for Auto motive: by Vehicle Type USD Million (2016-2021)
  • Figure 6. Global Digital Transformation for Auto motive: by Connectivity USD Million (2016-2021)
  • Figure 7. Global Digital Transformation for Auto motive: by Component USD Million (2016-2021)
  • Figure 8. South America Digital Transformation for Auto motive Share (%), by Country
  • Figure 9. Asia Pacific Digital Transformation for Auto motive Share (%), by Country
  • Figure 10. Europe Digital Transformation for Auto motive Share (%), by Country
  • Figure 11. MEA Digital Transformation for Auto motive Share (%), by Country
  • Figure 12. North America Digital Transformation for Auto motive Share (%), by Country
  • Figure 13. Global Digital Transformation for Auto motive share by Players 2021 (%)
  • Figure 14. Global Digital Transformation for Auto motive share by Players (Top 3) 2021(%)
  • Figure 15. Global Digital Transformation for Auto motive share by Players (Top 5) 2021(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 18. IBM (United States) Revenue: by Geography 2021
  • Figure 19. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 20. Microsoft (United States) Revenue: by Geography 2021
  • Figure 21. Google (United States) Revenue, Net Income and Gross profit
  • Figure 22. Google (United States) Revenue: by Geography 2021
  • Figure 23. Texas Instruments (United States) Revenue, Net Income and Gross profit
  • Figure 24. Texas Instruments (United States) Revenue: by Geography 2021
  • Figure 25. Cisco Systems, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 26. Cisco Systems, Inc. (United States) Revenue: by Geography 2021
  • Figure 27. Capgemini (France) Revenue, Net Income and Gross profit
  • Figure 28. Capgemini (France) Revenue: by Geography 2021
  • Figure 29. Dell (United States) Revenue, Net Income and Gross profit
  • Figure 30. Dell (United States) Revenue: by Geography 2021
  • Figure 31. Mahindra & Mahindra Ltd. (India) Revenue, Net Income and Gross profit
  • Figure 32. Mahindra & Mahindra Ltd. (India) Revenue: by Geography 2021
  • Figure 33. SAP SE (Germany) Revenue, Net Income and Gross profit
  • Figure 34. SAP SE (Germany) Revenue: by Geography 2021
  • Figure 35. Cognizant (United States) Revenue, Net Income and Gross profit
  • Figure 36. Cognizant (United States) Revenue: by Geography 2021
  • Figure 37. HARMAN International. (United States) Revenue, Net Income and Gross profit
  • Figure 38. HARMAN International. (United States) Revenue: by Geography 2021
  • Figure 39. Global Digital Transformation for Auto motive: by Technology USD Million (2022-2027)
  • Figure 40. Global Digital Transformation for Auto motive: by Vehicle Type USD Million (2022-2027)
  • Figure 41. Global Digital Transformation for Auto motive: by Connectivity USD Million (2022-2027)
  • Figure 42. Global Digital Transformation for Auto motive: by Component USD Million (2022-2027)
  • Figure 43. South America Digital Transformation for Auto motive Share (%), by Country
  • Figure 44. Asia Pacific Digital Transformation for Auto motive Share (%), by Country
  • Figure 45. Europe Digital Transformation for Auto motive Share (%), by Country
  • Figure 46. MEA Digital Transformation for Auto motive Share (%), by Country
  • Figure 47. North America Digital Transformation for Auto motive Share (%), by Country
List of companies from research coverage that are profiled in the study
  • IBM (United States)
  • Microsoft (United States)
  • Google (United States)
  • Texas Instruments (United States)
  • Cisco Systems, Inc. (United States)
  • Capgemini (France)
  • Dell (United States)
  • Mahindra & Mahindra Ltd. (India)
  • SAP SE (Germany)
  • Cognizant (United States)
  • HARMAN International. (United States)
Additional players considered in the study are as follows:
NXP Semiconductors (Netherlands) , T-Systems International (Germany) , Ericsson (Sweden)
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Jul 2022 219 Pages 87 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Frequently Asked Questions (FAQ):

The standard version of the report profiles players such as IBM (United States), Microsoft (United States), Google (United States), Texas Instruments (United States), Cisco Systems, Inc. (United States), Capgemini (France), Dell (United States), Mahindra & Mahindra Ltd. (India), SAP SE (Germany), Cognizant (United States) and HARMAN International. (United States) etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"Surging Demand for IoT and Big Data Analysis Solutions in the Automotive Sector Will Boost the Market" is seen as one of major influencing trends for Digital Transformation for Auto motive Market during projected period 2021-2027.
The Digital Transformation for Auto motive market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get a complete company list in our research coverage.

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