Global Software for Autonomous Cars

Software for Autonomous Cars Comprehensive Study by Type (Proprietary Software, Open-Source Software), Application (Level 5 Autonomous Cars, Level 4 Autonomous Cars, Level 3 Autonomous Cars), Technology (Fully-Autonomous Cars, Semi-Autonomous Cars), Features (Adaptive Cruise Control (ACC), Pedestrian Detection System (PDS) and LIDAR, Adaptive Front Lights (AFL), Blind Spot Monitoring (BSM), Forward Collision Warning (FCW), Intelligent Speed Adaptation (ISA), Night Vision System (NVS), Parking Assistance (PA), Others) Players and Region - Global Market Outlook to 2026

Software for Autonomous Cars Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Industry Background:
The software for autonomous car is the software that makes the car autonomous. C++ is a programming language that is commonly used to program the onboard computer of autonomous vehicles. Before 3 years, the level 3 autonomous cars segment accounted for the major shares of the software market for autonomous cars. Benefits such as the automatic management of acceleration, steering, and deceleration in automobiles will contribute to the growth of this industry segment in the coming years. Additionally, the level 3 autonomous cars can also monitor the driving environment which also adds to the segment's growth prospects in this global market.This growth is primarily driven by Growing Digitalization and Automation in the Automotive industry .

AttributesDetails
Study Period2017-2027
Base Year2021
Forecast Period2022-2027
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 Systems Software 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 Tesla (United States), Alphabet (United States), Apple (United States), Cisco (United States), Autotalks (Israel), Cohda Wireless (Australia), Delphi Automotive (United States), Covisint (United States), NVIDIA (United States) and Intel (United States), etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years.

The global market is highly competitive and consists of a limited number of providers who compete with each other. The intense competition, changing consumer spending patterns, demographic trends, and frequent changes in consumer preferences pose significant opportunities for market growth.

Regulatory Insights:
"Eleven states and the District of Columbia have passed legislation related to autonomous vehicles. Additionally, governors in Arizona and Massachusetts have issued executive orders. California, Florida, Michigan, and Nevada passed comprehensive regulations governing the testing of autonomous vehicles. Nevada, the first state to pass an autonomous vehicle law in 2011, allows autonomous vehicles to be tested in the state, but the vehicle must be registered, insured, and have a certificate of compliance issued by the state Department of Motor Vehicles."

Influencing Trend:
Integration of Machine Learning and Artificial Intelligence in the Autonomous Car Technology

Market Growth Drivers:
Growing Digitalization and Automation in the Automotive industry and Demand for the Advanced Software for Autonomous Cars for the Safety and Ease of Driving

Challenges:
Number of New Entrants in the Software for Autonomous Cars Market with High Investment Cost

Restraints:
Risk of Data Privacy Associated with Software for Autonomous Cars

Opportunities:
Growing Number of Technologically Advanced Software for Autonomous Cars Projects Worldwide

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 Software for Autonomous Cars 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 Software for Autonomous Cars 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 Software for Autonomous Cars 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, Software for Autonomous Cars Study Sheds Light on
— The Software for Autonomous Cars Market status quo and key characteristics. To end this, Analysts at AMA organize and took surveys of the Software for Autonomous Cars industry Players. The resultant snapshot serves as a basis for understanding why and how the industry can be expected to change.
— Where Software for Autonomous Cars 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
  • Proprietary Software
  • Open-Source Software
By Application
  • Level 5 Autonomous Cars
  • Level 4 Autonomous Cars
  • Level 3 Autonomous Cars
By Technology
  • Fully-Autonomous Cars
  • Semi-Autonomous Cars

By Features
  • Adaptive Cruise Control (ACC)
  • Pedestrian Detection System (PDS) and LIDAR
  • Adaptive Front Lights (AFL)
  • Blind Spot Monitoring (BSM)
  • Forward Collision Warning (FCW)
  • Intelligent Speed Adaptation (ISA)
  • Night Vision System (NVS)
  • Parking Assistance (PA)
  • Others

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. Growing Digitalization and Automation in the Automotive industry
      • 3.2.2. Demand for the Advanced Software for Autonomous Cars for the Safety and Ease of Driving
    • 3.3. Market Challenges
      • 3.3.1. Number of New Entrants in the Software for Autonomous Cars Market with High Investment Cost
    • 3.4. Market Trends
      • 3.4.1. Integration of Machine Learning and Artificial Intelligence in the Autonomous Car Technology
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Software for Autonomous Cars, by Type, Application, Technology, Features and Region (value) (2016-2021)
    • 5.1. Introduction
    • 5.2. Global Software for Autonomous Cars (Value)
      • 5.2.1. Global Software for Autonomous Cars by: Type (Value)
        • 5.2.1.1. Proprietary Software
        • 5.2.1.2. Open-Source Software
      • 5.2.2. Global Software for Autonomous Cars by: Application (Value)
        • 5.2.2.1. Level 5 Autonomous Cars
        • 5.2.2.2. Level 4 Autonomous Cars
        • 5.2.2.3. Level 3 Autonomous Cars
      • 5.2.3. Global Software for Autonomous Cars by: Technology (Value)
        • 5.2.3.1. Fully-Autonomous Cars
        • 5.2.3.2. Semi-Autonomous Cars
      • 5.2.4. Global Software for Autonomous Cars by: Features (Value)
        • 5.2.4.1. Adaptive Cruise Control (ACC)
        • 5.2.4.2. Pedestrian Detection System (PDS) and LIDAR
        • 5.2.4.3. Adaptive Front Lights (AFL)
        • 5.2.4.4. Blind Spot Monitoring (BSM)
        • 5.2.4.5. Forward Collision Warning (FCW)
        • 5.2.4.6. Intelligent Speed Adaptation (ISA)
        • 5.2.4.7. Night Vision System (NVS)
        • 5.2.4.8. Parking Assistance (PA)
        • 5.2.4.9. Others
      • 5.2.5. Global Software for Autonomous Cars 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. Software for Autonomous Cars: 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. Tesla (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. Alphabet (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. Apple (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. Cisco (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. Autotalks (Israel)
        • 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. Cohda Wireless (Australia)
        • 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. Delphi Automotive (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. Covisint (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. NVIDIA (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. Intel (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
  • 7. Global Software for Autonomous Cars Sale, by Type, Application, Technology, Features and Region (value) (2022-2027)
    • 7.1. Introduction
    • 7.2. Global Software for Autonomous Cars (Value)
      • 7.2.1. Global Software for Autonomous Cars by: Type (Value)
        • 7.2.1.1. Proprietary Software
        • 7.2.1.2. Open-Source Software
      • 7.2.2. Global Software for Autonomous Cars by: Application (Value)
        • 7.2.2.1. Level 5 Autonomous Cars
        • 7.2.2.2. Level 4 Autonomous Cars
        • 7.2.2.3. Level 3 Autonomous Cars
      • 7.2.3. Global Software for Autonomous Cars by: Technology (Value)
        • 7.2.3.1. Fully-Autonomous Cars
        • 7.2.3.2. Semi-Autonomous Cars
      • 7.2.4. Global Software for Autonomous Cars by: Features (Value)
        • 7.2.4.1. Adaptive Cruise Control (ACC)
        • 7.2.4.2. Pedestrian Detection System (PDS) and LIDAR
        • 7.2.4.3. Adaptive Front Lights (AFL)
        • 7.2.4.4. Blind Spot Monitoring (BSM)
        • 7.2.4.5. Forward Collision Warning (FCW)
        • 7.2.4.6. Intelligent Speed Adaptation (ISA)
        • 7.2.4.7. Night Vision System (NVS)
        • 7.2.4.8. Parking Assistance (PA)
        • 7.2.4.9. Others
      • 7.2.5. Global Software for Autonomous Cars 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. Software for Autonomous Cars: by Type(USD Million)
  • Table 2. Software for Autonomous Cars Proprietary Software , by Region USD Million (2016-2021)
  • Table 3. Software for Autonomous Cars Open-Source Software , by Region USD Million (2016-2021)
  • Table 4. Software for Autonomous Cars: by Application(USD Million)
  • Table 5. Software for Autonomous Cars Level 5 Autonomous Cars , by Region USD Million (2016-2021)
  • Table 6. Software for Autonomous Cars Level 4 Autonomous Cars , by Region USD Million (2016-2021)
  • Table 7. Software for Autonomous Cars Level 3 Autonomous Cars , by Region USD Million (2016-2021)
  • Table 8. Software for Autonomous Cars: by Technology(USD Million)
  • Table 9. Software for Autonomous Cars Fully-Autonomous Cars , by Region USD Million (2016-2021)
  • Table 10. Software for Autonomous Cars Semi-Autonomous Cars , by Region USD Million (2016-2021)
  • Table 11. Software for Autonomous Cars: by Features(USD Million)
  • Table 12. Software for Autonomous Cars Adaptive Cruise Control (ACC) , by Region USD Million (2016-2021)
  • Table 13. Software for Autonomous Cars Pedestrian Detection System (PDS) and LIDAR , by Region USD Million (2016-2021)
  • Table 14. Software for Autonomous Cars Adaptive Front Lights (AFL) , by Region USD Million (2016-2021)
  • Table 15. Software for Autonomous Cars Blind Spot Monitoring (BSM) , by Region USD Million (2016-2021)
  • Table 16. Software for Autonomous Cars Forward Collision Warning (FCW) , by Region USD Million (2016-2021)
  • Table 17. Software for Autonomous Cars Intelligent Speed Adaptation (ISA) , by Region USD Million (2016-2021)
  • Table 18. Software for Autonomous Cars Night Vision System (NVS) , by Region USD Million (2016-2021)
  • Table 19. Software for Autonomous Cars Parking Assistance (PA) , by Region USD Million (2016-2021)
  • Table 20. Software for Autonomous Cars Others , by Region USD Million (2016-2021)
  • Table 21. South America Software for Autonomous Cars, by Country USD Million (2016-2021)
  • Table 22. South America Software for Autonomous Cars, by Type USD Million (2016-2021)
  • Table 23. South America Software for Autonomous Cars, by Application USD Million (2016-2021)
  • Table 24. South America Software for Autonomous Cars, by Technology USD Million (2016-2021)
  • Table 25. South America Software for Autonomous Cars, by Features USD Million (2016-2021)
  • Table 26. Brazil Software for Autonomous Cars, by Type USD Million (2016-2021)
  • Table 27. Brazil Software for Autonomous Cars, by Application USD Million (2016-2021)
  • Table 28. Brazil Software for Autonomous Cars, by Technology USD Million (2016-2021)
  • Table 29. Brazil Software for Autonomous Cars, by Features USD Million (2016-2021)
  • Table 30. Argentina Software for Autonomous Cars, by Type USD Million (2016-2021)
  • Table 31. Argentina Software for Autonomous Cars, by Application USD Million (2016-2021)
  • Table 32. Argentina Software for Autonomous Cars, by Technology USD Million (2016-2021)
  • Table 33. Argentina Software for Autonomous Cars, by Features USD Million (2016-2021)
  • Table 34. Rest of South America Software for Autonomous Cars, by Type USD Million (2016-2021)
  • Table 35. Rest of South America Software for Autonomous Cars, by Application USD Million (2016-2021)
  • Table 36. Rest of South America Software for Autonomous Cars, by Technology USD Million (2016-2021)
  • Table 37. Rest of South America Software for Autonomous Cars, by Features USD Million (2016-2021)
  • Table 38. Asia Pacific Software for Autonomous Cars, by Country USD Million (2016-2021)
  • Table 39. Asia Pacific Software for Autonomous Cars, by Type USD Million (2016-2021)
  • Table 40. Asia Pacific Software for Autonomous Cars, by Application USD Million (2016-2021)
  • Table 41. Asia Pacific Software for Autonomous Cars, by Technology USD Million (2016-2021)
  • Table 42. Asia Pacific Software for Autonomous Cars, by Features USD Million (2016-2021)
  • Table 43. China Software for Autonomous Cars, by Type USD Million (2016-2021)
  • Table 44. China Software for Autonomous Cars, by Application USD Million (2016-2021)
  • Table 45. China Software for Autonomous Cars, by Technology USD Million (2016-2021)
  • Table 46. China Software for Autonomous Cars, by Features USD Million (2016-2021)
  • Table 47. Japan Software for Autonomous Cars, by Type USD Million (2016-2021)
  • Table 48. Japan Software for Autonomous Cars, by Application USD Million (2016-2021)
  • Table 49. Japan Software for Autonomous Cars, by Technology USD Million (2016-2021)
  • Table 50. Japan Software for Autonomous Cars, by Features USD Million (2016-2021)
  • Table 51. India Software for Autonomous Cars, by Type USD Million (2016-2021)
  • Table 52. India Software for Autonomous Cars, by Application USD Million (2016-2021)
  • Table 53. India Software for Autonomous Cars, by Technology USD Million (2016-2021)
  • Table 54. India Software for Autonomous Cars, by Features USD Million (2016-2021)
  • Table 55. South Korea Software for Autonomous Cars, by Type USD Million (2016-2021)
  • Table 56. South Korea Software for Autonomous Cars, by Application USD Million (2016-2021)
  • Table 57. South Korea Software for Autonomous Cars, by Technology USD Million (2016-2021)
  • Table 58. South Korea Software for Autonomous Cars, by Features USD Million (2016-2021)
  • Table 59. Taiwan Software for Autonomous Cars, by Type USD Million (2016-2021)
  • Table 60. Taiwan Software for Autonomous Cars, by Application USD Million (2016-2021)
  • Table 61. Taiwan Software for Autonomous Cars, by Technology USD Million (2016-2021)
  • Table 62. Taiwan Software for Autonomous Cars, by Features USD Million (2016-2021)
  • Table 63. Australia Software for Autonomous Cars, by Type USD Million (2016-2021)
  • Table 64. Australia Software for Autonomous Cars, by Application USD Million (2016-2021)
  • Table 65. Australia Software for Autonomous Cars, by Technology USD Million (2016-2021)
  • Table 66. Australia Software for Autonomous Cars, by Features USD Million (2016-2021)
  • Table 67. Rest of Asia-Pacific Software for Autonomous Cars, by Type USD Million (2016-2021)
  • Table 68. Rest of Asia-Pacific Software for Autonomous Cars, by Application USD Million (2016-2021)
  • Table 69. Rest of Asia-Pacific Software for Autonomous Cars, by Technology USD Million (2016-2021)
  • Table 70. Rest of Asia-Pacific Software for Autonomous Cars, by Features USD Million (2016-2021)
  • Table 71. Europe Software for Autonomous Cars, by Country USD Million (2016-2021)
  • Table 72. Europe Software for Autonomous Cars, by Type USD Million (2016-2021)
  • Table 73. Europe Software for Autonomous Cars, by Application USD Million (2016-2021)
  • Table 74. Europe Software for Autonomous Cars, by Technology USD Million (2016-2021)
  • Table 75. Europe Software for Autonomous Cars, by Features USD Million (2016-2021)
  • Table 76. Germany Software for Autonomous Cars, by Type USD Million (2016-2021)
  • Table 77. Germany Software for Autonomous Cars, by Application USD Million (2016-2021)
  • Table 78. Germany Software for Autonomous Cars, by Technology USD Million (2016-2021)
  • Table 79. Germany Software for Autonomous Cars, by Features USD Million (2016-2021)
  • Table 80. France Software for Autonomous Cars, by Type USD Million (2016-2021)
  • Table 81. France Software for Autonomous Cars, by Application USD Million (2016-2021)
  • Table 82. France Software for Autonomous Cars, by Technology USD Million (2016-2021)
  • Table 83. France Software for Autonomous Cars, by Features USD Million (2016-2021)
  • Table 84. Italy Software for Autonomous Cars, by Type USD Million (2016-2021)
  • Table 85. Italy Software for Autonomous Cars, by Application USD Million (2016-2021)
  • Table 86. Italy Software for Autonomous Cars, by Technology USD Million (2016-2021)
  • Table 87. Italy Software for Autonomous Cars, by Features USD Million (2016-2021)
  • Table 88. United Kingdom Software for Autonomous Cars, by Type USD Million (2016-2021)
  • Table 89. United Kingdom Software for Autonomous Cars, by Application USD Million (2016-2021)
  • Table 90. United Kingdom Software for Autonomous Cars, by Technology USD Million (2016-2021)
  • Table 91. United Kingdom Software for Autonomous Cars, by Features USD Million (2016-2021)
  • Table 92. Netherlands Software for Autonomous Cars, by Type USD Million (2016-2021)
  • Table 93. Netherlands Software for Autonomous Cars, by Application USD Million (2016-2021)
  • Table 94. Netherlands Software for Autonomous Cars, by Technology USD Million (2016-2021)
  • Table 95. Netherlands Software for Autonomous Cars, by Features USD Million (2016-2021)
  • Table 96. Rest of Europe Software for Autonomous Cars, by Type USD Million (2016-2021)
  • Table 97. Rest of Europe Software for Autonomous Cars, by Application USD Million (2016-2021)
  • Table 98. Rest of Europe Software for Autonomous Cars, by Technology USD Million (2016-2021)
  • Table 99. Rest of Europe Software for Autonomous Cars, by Features USD Million (2016-2021)
  • Table 100. MEA Software for Autonomous Cars, by Country USD Million (2016-2021)
  • Table 101. MEA Software for Autonomous Cars, by Type USD Million (2016-2021)
  • Table 102. MEA Software for Autonomous Cars, by Application USD Million (2016-2021)
  • Table 103. MEA Software for Autonomous Cars, by Technology USD Million (2016-2021)
  • Table 104. MEA Software for Autonomous Cars, by Features USD Million (2016-2021)
  • Table 105. Middle East Software for Autonomous Cars, by Type USD Million (2016-2021)
  • Table 106. Middle East Software for Autonomous Cars, by Application USD Million (2016-2021)
  • Table 107. Middle East Software for Autonomous Cars, by Technology USD Million (2016-2021)
  • Table 108. Middle East Software for Autonomous Cars, by Features USD Million (2016-2021)
  • Table 109. Africa Software for Autonomous Cars, by Type USD Million (2016-2021)
  • Table 110. Africa Software for Autonomous Cars, by Application USD Million (2016-2021)
  • Table 111. Africa Software for Autonomous Cars, by Technology USD Million (2016-2021)
  • Table 112. Africa Software for Autonomous Cars, by Features USD Million (2016-2021)
  • Table 113. North America Software for Autonomous Cars, by Country USD Million (2016-2021)
  • Table 114. North America Software for Autonomous Cars, by Type USD Million (2016-2021)
  • Table 115. North America Software for Autonomous Cars, by Application USD Million (2016-2021)
  • Table 116. North America Software for Autonomous Cars, by Technology USD Million (2016-2021)
  • Table 117. North America Software for Autonomous Cars, by Features USD Million (2016-2021)
  • Table 118. United States Software for Autonomous Cars, by Type USD Million (2016-2021)
  • Table 119. United States Software for Autonomous Cars, by Application USD Million (2016-2021)
  • Table 120. United States Software for Autonomous Cars, by Technology USD Million (2016-2021)
  • Table 121. United States Software for Autonomous Cars, by Features USD Million (2016-2021)
  • Table 122. Canada Software for Autonomous Cars, by Type USD Million (2016-2021)
  • Table 123. Canada Software for Autonomous Cars, by Application USD Million (2016-2021)
  • Table 124. Canada Software for Autonomous Cars, by Technology USD Million (2016-2021)
  • Table 125. Canada Software for Autonomous Cars, by Features USD Million (2016-2021)
  • Table 126. Mexico Software for Autonomous Cars, by Type USD Million (2016-2021)
  • Table 127. Mexico Software for Autonomous Cars, by Application USD Million (2016-2021)
  • Table 128. Mexico Software for Autonomous Cars, by Technology USD Million (2016-2021)
  • Table 129. Mexico Software for Autonomous Cars, by Features USD Million (2016-2021)
  • 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. Software for Autonomous Cars: by Type(USD Million)
  • Table 141. Software for Autonomous Cars Proprietary Software , by Region USD Million (2022-2027)
  • Table 142. Software for Autonomous Cars Open-Source Software , by Region USD Million (2022-2027)
  • Table 143. Software for Autonomous Cars: by Application(USD Million)
  • Table 144. Software for Autonomous Cars Level 5 Autonomous Cars , by Region USD Million (2022-2027)
  • Table 145. Software for Autonomous Cars Level 4 Autonomous Cars , by Region USD Million (2022-2027)
  • Table 146. Software for Autonomous Cars Level 3 Autonomous Cars , by Region USD Million (2022-2027)
  • Table 147. Software for Autonomous Cars: by Technology(USD Million)
  • Table 148. Software for Autonomous Cars Fully-Autonomous Cars , by Region USD Million (2022-2027)
  • Table 149. Software for Autonomous Cars Semi-Autonomous Cars , by Region USD Million (2022-2027)
  • Table 150. Software for Autonomous Cars: by Features(USD Million)
  • Table 151. Software for Autonomous Cars Adaptive Cruise Control (ACC) , by Region USD Million (2022-2027)
  • Table 152. Software for Autonomous Cars Pedestrian Detection System (PDS) and LIDAR , by Region USD Million (2022-2027)
  • Table 153. Software for Autonomous Cars Adaptive Front Lights (AFL) , by Region USD Million (2022-2027)
  • Table 154. Software for Autonomous Cars Blind Spot Monitoring (BSM) , by Region USD Million (2022-2027)
  • Table 155. Software for Autonomous Cars Forward Collision Warning (FCW) , by Region USD Million (2022-2027)
  • Table 156. Software for Autonomous Cars Intelligent Speed Adaptation (ISA) , by Region USD Million (2022-2027)
  • Table 157. Software for Autonomous Cars Night Vision System (NVS) , by Region USD Million (2022-2027)
  • Table 158. Software for Autonomous Cars Parking Assistance (PA) , by Region USD Million (2022-2027)
  • Table 159. Software for Autonomous Cars Others , by Region USD Million (2022-2027)
  • Table 160. South America Software for Autonomous Cars, by Country USD Million (2022-2027)
  • Table 161. South America Software for Autonomous Cars, by Type USD Million (2022-2027)
  • Table 162. South America Software for Autonomous Cars, by Application USD Million (2022-2027)
  • Table 163. South America Software for Autonomous Cars, by Technology USD Million (2022-2027)
  • Table 164. South America Software for Autonomous Cars, by Features USD Million (2022-2027)
  • Table 165. Brazil Software for Autonomous Cars, by Type USD Million (2022-2027)
  • Table 166. Brazil Software for Autonomous Cars, by Application USD Million (2022-2027)
  • Table 167. Brazil Software for Autonomous Cars, by Technology USD Million (2022-2027)
  • Table 168. Brazil Software for Autonomous Cars, by Features USD Million (2022-2027)
  • Table 169. Argentina Software for Autonomous Cars, by Type USD Million (2022-2027)
  • Table 170. Argentina Software for Autonomous Cars, by Application USD Million (2022-2027)
  • Table 171. Argentina Software for Autonomous Cars, by Technology USD Million (2022-2027)
  • Table 172. Argentina Software for Autonomous Cars, by Features USD Million (2022-2027)
  • Table 173. Rest of South America Software for Autonomous Cars, by Type USD Million (2022-2027)
  • Table 174. Rest of South America Software for Autonomous Cars, by Application USD Million (2022-2027)
  • Table 175. Rest of South America Software for Autonomous Cars, by Technology USD Million (2022-2027)
  • Table 176. Rest of South America Software for Autonomous Cars, by Features USD Million (2022-2027)
  • Table 177. Asia Pacific Software for Autonomous Cars, by Country USD Million (2022-2027)
  • Table 178. Asia Pacific Software for Autonomous Cars, by Type USD Million (2022-2027)
  • Table 179. Asia Pacific Software for Autonomous Cars, by Application USD Million (2022-2027)
  • Table 180. Asia Pacific Software for Autonomous Cars, by Technology USD Million (2022-2027)
  • Table 181. Asia Pacific Software for Autonomous Cars, by Features USD Million (2022-2027)
  • Table 182. China Software for Autonomous Cars, by Type USD Million (2022-2027)
  • Table 183. China Software for Autonomous Cars, by Application USD Million (2022-2027)
  • Table 184. China Software for Autonomous Cars, by Technology USD Million (2022-2027)
  • Table 185. China Software for Autonomous Cars, by Features USD Million (2022-2027)
  • Table 186. Japan Software for Autonomous Cars, by Type USD Million (2022-2027)
  • Table 187. Japan Software for Autonomous Cars, by Application USD Million (2022-2027)
  • Table 188. Japan Software for Autonomous Cars, by Technology USD Million (2022-2027)
  • Table 189. Japan Software for Autonomous Cars, by Features USD Million (2022-2027)
  • Table 190. India Software for Autonomous Cars, by Type USD Million (2022-2027)
  • Table 191. India Software for Autonomous Cars, by Application USD Million (2022-2027)
  • Table 192. India Software for Autonomous Cars, by Technology USD Million (2022-2027)
  • Table 193. India Software for Autonomous Cars, by Features USD Million (2022-2027)
  • Table 194. South Korea Software for Autonomous Cars, by Type USD Million (2022-2027)
  • Table 195. South Korea Software for Autonomous Cars, by Application USD Million (2022-2027)
  • Table 196. South Korea Software for Autonomous Cars, by Technology USD Million (2022-2027)
  • Table 197. South Korea Software for Autonomous Cars, by Features USD Million (2022-2027)
  • Table 198. Taiwan Software for Autonomous Cars, by Type USD Million (2022-2027)
  • Table 199. Taiwan Software for Autonomous Cars, by Application USD Million (2022-2027)
  • Table 200. Taiwan Software for Autonomous Cars, by Technology USD Million (2022-2027)
  • Table 201. Taiwan Software for Autonomous Cars, by Features USD Million (2022-2027)
  • Table 202. Australia Software for Autonomous Cars, by Type USD Million (2022-2027)
  • Table 203. Australia Software for Autonomous Cars, by Application USD Million (2022-2027)
  • Table 204. Australia Software for Autonomous Cars, by Technology USD Million (2022-2027)
  • Table 205. Australia Software for Autonomous Cars, by Features USD Million (2022-2027)
  • Table 206. Rest of Asia-Pacific Software for Autonomous Cars, by Type USD Million (2022-2027)
  • Table 207. Rest of Asia-Pacific Software for Autonomous Cars, by Application USD Million (2022-2027)
  • Table 208. Rest of Asia-Pacific Software for Autonomous Cars, by Technology USD Million (2022-2027)
  • Table 209. Rest of Asia-Pacific Software for Autonomous Cars, by Features USD Million (2022-2027)
  • Table 210. Europe Software for Autonomous Cars, by Country USD Million (2022-2027)
  • Table 211. Europe Software for Autonomous Cars, by Type USD Million (2022-2027)
  • Table 212. Europe Software for Autonomous Cars, by Application USD Million (2022-2027)
  • Table 213. Europe Software for Autonomous Cars, by Technology USD Million (2022-2027)
  • Table 214. Europe Software for Autonomous Cars, by Features USD Million (2022-2027)
  • Table 215. Germany Software for Autonomous Cars, by Type USD Million (2022-2027)
  • Table 216. Germany Software for Autonomous Cars, by Application USD Million (2022-2027)
  • Table 217. Germany Software for Autonomous Cars, by Technology USD Million (2022-2027)
  • Table 218. Germany Software for Autonomous Cars, by Features USD Million (2022-2027)
  • Table 219. France Software for Autonomous Cars, by Type USD Million (2022-2027)
  • Table 220. France Software for Autonomous Cars, by Application USD Million (2022-2027)
  • Table 221. France Software for Autonomous Cars, by Technology USD Million (2022-2027)
  • Table 222. France Software for Autonomous Cars, by Features USD Million (2022-2027)
  • Table 223. Italy Software for Autonomous Cars, by Type USD Million (2022-2027)
  • Table 224. Italy Software for Autonomous Cars, by Application USD Million (2022-2027)
  • Table 225. Italy Software for Autonomous Cars, by Technology USD Million (2022-2027)
  • Table 226. Italy Software for Autonomous Cars, by Features USD Million (2022-2027)
  • Table 227. United Kingdom Software for Autonomous Cars, by Type USD Million (2022-2027)
  • Table 228. United Kingdom Software for Autonomous Cars, by Application USD Million (2022-2027)
  • Table 229. United Kingdom Software for Autonomous Cars, by Technology USD Million (2022-2027)
  • Table 230. United Kingdom Software for Autonomous Cars, by Features USD Million (2022-2027)
  • Table 231. Netherlands Software for Autonomous Cars, by Type USD Million (2022-2027)
  • Table 232. Netherlands Software for Autonomous Cars, by Application USD Million (2022-2027)
  • Table 233. Netherlands Software for Autonomous Cars, by Technology USD Million (2022-2027)
  • Table 234. Netherlands Software for Autonomous Cars, by Features USD Million (2022-2027)
  • Table 235. Rest of Europe Software for Autonomous Cars, by Type USD Million (2022-2027)
  • Table 236. Rest of Europe Software for Autonomous Cars, by Application USD Million (2022-2027)
  • Table 237. Rest of Europe Software for Autonomous Cars, by Technology USD Million (2022-2027)
  • Table 238. Rest of Europe Software for Autonomous Cars, by Features USD Million (2022-2027)
  • Table 239. MEA Software for Autonomous Cars, by Country USD Million (2022-2027)
  • Table 240. MEA Software for Autonomous Cars, by Type USD Million (2022-2027)
  • Table 241. MEA Software for Autonomous Cars, by Application USD Million (2022-2027)
  • Table 242. MEA Software for Autonomous Cars, by Technology USD Million (2022-2027)
  • Table 243. MEA Software for Autonomous Cars, by Features USD Million (2022-2027)
  • Table 244. Middle East Software for Autonomous Cars, by Type USD Million (2022-2027)
  • Table 245. Middle East Software for Autonomous Cars, by Application USD Million (2022-2027)
  • Table 246. Middle East Software for Autonomous Cars, by Technology USD Million (2022-2027)
  • Table 247. Middle East Software for Autonomous Cars, by Features USD Million (2022-2027)
  • Table 248. Africa Software for Autonomous Cars, by Type USD Million (2022-2027)
  • Table 249. Africa Software for Autonomous Cars, by Application USD Million (2022-2027)
  • Table 250. Africa Software for Autonomous Cars, by Technology USD Million (2022-2027)
  • Table 251. Africa Software for Autonomous Cars, by Features USD Million (2022-2027)
  • Table 252. North America Software for Autonomous Cars, by Country USD Million (2022-2027)
  • Table 253. North America Software for Autonomous Cars, by Type USD Million (2022-2027)
  • Table 254. North America Software for Autonomous Cars, by Application USD Million (2022-2027)
  • Table 255. North America Software for Autonomous Cars, by Technology USD Million (2022-2027)
  • Table 256. North America Software for Autonomous Cars, by Features USD Million (2022-2027)
  • Table 257. United States Software for Autonomous Cars, by Type USD Million (2022-2027)
  • Table 258. United States Software for Autonomous Cars, by Application USD Million (2022-2027)
  • Table 259. United States Software for Autonomous Cars, by Technology USD Million (2022-2027)
  • Table 260. United States Software for Autonomous Cars, by Features USD Million (2022-2027)
  • Table 261. Canada Software for Autonomous Cars, by Type USD Million (2022-2027)
  • Table 262. Canada Software for Autonomous Cars, by Application USD Million (2022-2027)
  • Table 263. Canada Software for Autonomous Cars, by Technology USD Million (2022-2027)
  • Table 264. Canada Software for Autonomous Cars, by Features USD Million (2022-2027)
  • Table 265. Mexico Software for Autonomous Cars, by Type USD Million (2022-2027)
  • Table 266. Mexico Software for Autonomous Cars, by Application USD Million (2022-2027)
  • Table 267. Mexico Software for Autonomous Cars, by Technology USD Million (2022-2027)
  • Table 268. Mexico Software for Autonomous Cars, by Features USD Million (2022-2027)
  • Table 269. Research Programs/Design for This Report
  • Table 270. Key Data Information from Secondary Sources
  • Table 271. 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 Software for Autonomous Cars: by Type USD Million (2016-2021)
  • Figure 5. Global Software for Autonomous Cars: by Application USD Million (2016-2021)
  • Figure 6. Global Software for Autonomous Cars: by Technology USD Million (2016-2021)
  • Figure 7. Global Software for Autonomous Cars: by Features USD Million (2016-2021)
  • Figure 8. South America Software for Autonomous Cars Share (%), by Country
  • Figure 9. Asia Pacific Software for Autonomous Cars Share (%), by Country
  • Figure 10. Europe Software for Autonomous Cars Share (%), by Country
  • Figure 11. MEA Software for Autonomous Cars Share (%), by Country
  • Figure 12. North America Software for Autonomous Cars Share (%), by Country
  • Figure 13. Global Software for Autonomous Cars share by Players 2021 (%)
  • Figure 14. Global Software for Autonomous Cars share by Players (Top 3) 2021(%)
  • Figure 15. Global Software for Autonomous Cars share by Players (Top 5) 2021(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Tesla (United States) Revenue, Net Income and Gross profit
  • Figure 18. Tesla (United States) Revenue: by Geography 2021
  • Figure 19. Alphabet (United States) Revenue, Net Income and Gross profit
  • Figure 20. Alphabet (United States) Revenue: by Geography 2021
  • Figure 21. Apple (United States) Revenue, Net Income and Gross profit
  • Figure 22. Apple (United States) Revenue: by Geography 2021
  • Figure 23. Cisco (United States) Revenue, Net Income and Gross profit
  • Figure 24. Cisco (United States) Revenue: by Geography 2021
  • Figure 25. Autotalks (Israel) Revenue, Net Income and Gross profit
  • Figure 26. Autotalks (Israel) Revenue: by Geography 2021
  • Figure 27. Cohda Wireless (Australia) Revenue, Net Income and Gross profit
  • Figure 28. Cohda Wireless (Australia) Revenue: by Geography 2021
  • Figure 29. Delphi Automotive (United States) Revenue, Net Income and Gross profit
  • Figure 30. Delphi Automotive (United States) Revenue: by Geography 2021
  • Figure 31. Covisint (United States) Revenue, Net Income and Gross profit
  • Figure 32. Covisint (United States) Revenue: by Geography 2021
  • Figure 33. NVIDIA (United States) Revenue, Net Income and Gross profit
  • Figure 34. NVIDIA (United States) Revenue: by Geography 2021
  • Figure 35. Intel (United States) Revenue, Net Income and Gross profit
  • Figure 36. Intel (United States) Revenue: by Geography 2021
  • Figure 37. Global Software for Autonomous Cars: by Type USD Million (2022-2027)
  • Figure 38. Global Software for Autonomous Cars: by Application USD Million (2022-2027)
  • Figure 39. Global Software for Autonomous Cars: by Technology USD Million (2022-2027)
  • Figure 40. Global Software for Autonomous Cars: by Features USD Million (2022-2027)
  • Figure 41. South America Software for Autonomous Cars Share (%), by Country
  • Figure 42. Asia Pacific Software for Autonomous Cars Share (%), by Country
  • Figure 43. Europe Software for Autonomous Cars Share (%), by Country
  • Figure 44. MEA Software for Autonomous Cars Share (%), by Country
  • Figure 45. North America Software for Autonomous Cars Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Tesla (United States)
  • Alphabet (United States)
  • Apple (United States)
  • Cisco (United States)
  • Autotalks (Israel)
  • Cohda Wireless (Australia)
  • Delphi Automotive (United States)
  • Covisint (United States)
  • NVIDIA (United States)
  • Intel (United States)
Additional players considered in the study are as follows:
DeepMap (United States) , Nauto (United States)
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Key Highlights of Report


Jan 2021 204 Pages 55 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Global Software for Autonomous Cars Quantitative research analysis
Global Software for Autonomous Cars Qualitative Industry Analysis
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Historical year: 2017-2021; Base year: 2021; Forecast period: 2022 to 2027
Companies that are profiled in Global Software for Autonomous Cars Market are Tesla (United States), Alphabet (United States), Apple (United States), Cisco (United States), Autotalks (Israel), Cohda Wireless (Australia), Delphi Automotive (United States), Covisint (United States), NVIDIA (United States) and Intel (United States) etc.
Level 5 Autonomous Cars segment in Global market to hold robust market share owing to "Growing Digitalization and Automation in the Automotive industry ".
AMA Research predicts that United States Players will contribute to the maximum growth of Global Software for Autonomous Cars market throughout the forecasted period.

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