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PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1631322

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PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1631322

Global Autonomous Driving Software Market Size Study, by Level of Autonomy (L2+, L3, L4), by Vehicle Type (Passenger Cars, Commercial Vehicles), and Regional Forecasts 2022-2032

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The global autonomous driving software market is valued at approximately USD 1.59 billion in 2023 and is anticipated to grow at a robust CAGR of 13.30% over the forecast period 2024-2032. Autonomous driving software represents a pivotal technological breakthrough, integrating artificial intelligence, machine learning, and data analytics to enable advanced vehicular automation. This software orchestrates functions ranging from perception and planning to real-time monitoring and control, paving the way for safer and more efficient transportation systems. Increasing demand for Level 2+ and Level 3 autonomy in passenger and commercial vehicles underscores the growing reliance on these sophisticated systems.

Governments and private sectors alike are investing heavily in autonomous technologies to enhance road safety, reduce emissions, and optimize traffic flows. The rise of electric propulsion further complements autonomous software by creating synergies in smart mobility ecosystems. Software solutions for perception and planning, coupled with interior sensing systems, are witnessing accelerated adoption as manufacturers seek to bolster driver assistance and autonomous capabilities. Moreover, the market is supported by stringent safety standards and policies promoting semi-autonomous and autonomous vehicle adoption across major economies.

While the market outlook remains promising, challenges such as regulatory complexities, high R&D costs, and cybersecurity concerns present notable hurdles. The integration of advanced algorithms with existing vehicle platforms demands significant technological expertise and infrastructure upgrades. However, ongoing collaborations between automotive OEMs and technology providers are poised to address these challenges, ensuring the deployment of scalable and secure software solutions.

Regionally, North America leads the market due to its mature automotive sector, robust investments in R&D, and favorable regulatory frameworks. Europe follows closely, driven by stringent emission norms and advancements in autonomous vehicle testing. Meanwhile, the Asia-Pacific region is expected to witness the fastest growth, fueled by increasing vehicle production, a burgeoning middle class, and progressive government initiatives in countries like China, Japan, and South Korea.

Major market players included in this report are:

  • NVIDIA Corporation
  • Waymo LLC
  • Mobileye (An Intel Company)
  • Aptiv PLC
  • Tesla, Inc.
  • Bosch Mobility Solutions
  • General Motors (Cruise LLC)
  • Hyundai Mobis
  • Baidu, Inc.
  • ZF Friedrichshafen AG
  • Continental AG
  • Valeo
  • Aurora Innovation, Inc.
  • NXP Semiconductors
  • Argo AI

The detailed segments and sub-segment of the market are explained below:

By Level of Autonomy:

  • L2+
  • L3
  • L4

By Vehicle Type:

  • Passenger Cars
  • Commercial Vehicles

By Propulsion:

  • ICE
  • Electric

By Software Type:

  • Perception & Planning
  • Chauffeur
  • Interior Sensing
  • Monitoring

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • Rest of Europe
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • Rest of Asia Pacific
  • Latin America
  • Brazil
  • Mexico
  • Rest of Latin America
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • Rest of Middle East & Africa

Years considered for the study are as follows:

  • Historical year - 2022
  • Base year - 2023
  • Forecast period - 2024 to 2032

Key Takeaways:

  • Market estimates & forecasts for 10 years from 2022 to 2032.
  • Annualized revenues and regional-level analysis for each market segment.
  • Detailed analysis of geographical landscape with country-level analysis of major regions.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations for future market approaches.
  • Analysis of the competitive structure of the market.
  • Demand-side and supply-side analysis of the market.

Table of Contents

Chapter 1. Global Autonomous Driving Software Market Executive Summary

  • 1.1. Global Autonomous Driving Software Market Size & Forecast (2022-2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. By Level of Autonomy
    • 1.3.2. By Vehicle Type
    • 1.3.3. By Propulsion
    • 1.3.4. By Software Type
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Autonomous Driving Software Market Definition and Research Assumptions

  • 2.1. Research Objective
  • 2.2. Market Definition
  • 2.3. Research Assumptions
    • 2.3.1. Inclusion & Exclusion
    • 2.3.2. Limitations
    • 2.3.3. Supply Side Analysis
      • 2.3.3.1. Availability
      • 2.3.3.2. Infrastructure
      • 2.3.3.3. Regulatory Environment
      • 2.3.3.4. Market Competition
      • 2.3.3.5. Economic Viability (Consumer's Perspective)
    • 2.3.4. Demand Side Analysis
      • 2.3.4.1. Regulatory Frameworks
      • 2.3.4.2. Technological Advancements
      • 2.3.4.3. Environmental Considerations
      • 2.3.4.4. Consumer Awareness & Acceptance
  • 2.4. Estimation Methodology
  • 2.5. Years Considered for the Study
  • 2.6. Currency Conversion Rates

Chapter 3. Global Autonomous Driving Software Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Increasing Adoption of Level 2+ and Level 3 Autonomy
    • 3.1.2. Advancements in Perception & Planning Software
    • 3.1.3. Government Incentives for Autonomous Vehicle Deployment
  • 3.2. Market Challenges
    • 3.2.1. Regulatory Complexities
    • 3.2.2. High Research and Development Costs
  • 3.3. Market Opportunities
    • 3.3.1. Expansion in Smart Mobility Solutions
    • 3.3.2. Strategic Collaborations and Partnerships
    • 3.3.3. Innovations in Autonomous Software Technologies

Chapter 4. Global Autonomous Driving Software Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
    • 4.1.6. Futuristic Approach to Porter's 5 Force Model
    • 4.1.7. Porter's 5 Force Impact Analysis
  • 4.2. PESTEL Analysis
    • 4.2.1. Political
    • 4.2.2. Economical
    • 4.2.3. Social
    • 4.2.4. Technological
    • 4.2.5. Environmental
    • 4.2.6. Legal
  • 4.3. Top Investment Opportunities
  • 4.4. Top Winning Strategies
  • 4.5. Disruptive Trends
  • 4.6. Industry Expert Perspective
  • 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Autonomous Driving Software Market Size & Forecasts by Level of Autonomy 2022-2032

  • 5.1. Segment Dashboard
  • 5.2. Global Autonomous Driving Software Market: Level of Autonomy Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)
    • 5.2.1. L2+
    • 5.2.2. L3
    • 5.2.3. L4

Chapter 6. Global Autonomous Driving Software Market Size & Forecasts by Vehicle Type 2022-2032

  • 6.1. Segment Dashboard
  • 6.2. Global Autonomous Driving Software Market: Vehicle Type Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)
    • 6.2.1. Passenger Cars
    • 6.2.2. Commercial Vehicles

Chapter 7. Global Autonomous Driving Software Market Size & Forecasts by Propulsion 2022-2032

  • 7.1. Segment Dashboard
  • 7.2. Global Autonomous Driving Software Market: Propulsion Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)
    • 7.2.1. ICE
    • 7.2.2. Electric

Chapter 8. Global Autonomous Driving Software Market Size & Forecasts by Software Type 2022-2032

  • 8.1. Segment Dashboard
  • 8.2. Global Autonomous Driving Software Market: Software Type Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)
    • 8.2.1. Perception & Planning
    • 8.2.2. Chauffeur
    • 8.2.3. Interior Sensing
    • 8.2.4. Monitoring

Chapter 9. Global Autonomous Driving Software Market Size & Forecasts by Region 2022-2032

  • 9.1. North America Autonomous Driving Software Market
    • 9.1.1. U.S. Autonomous Driving Software Market
      • 9.1.1.1. Level of Autonomy Breakdown Size & Forecasts, 2022-2032
      • 9.1.1.2. Vehicle Type Breakdown Size & Forecasts, 2022-2032
      • 9.1.1.3. Propulsion Breakdown Size & Forecasts, 2022-2032
      • 9.1.1.4. Software Type Breakdown Size & Forecasts, 2022-2032
    • 9.1.2. Canada Autonomous Driving Software Market
  • 9.2. Europe Autonomous Driving Software Market
    • 9.2.1. UK Autonomous Driving Software Market
    • 9.2.2. Germany Autonomous Driving Software Market
    • 9.2.3. France Autonomous Driving Software Market
    • 9.2.4. Spain Autonomous Driving Software Market
    • 9.2.5. Italy Autonomous Driving Software Market
    • 9.2.6. Rest of Europe Autonomous Driving Software Market
  • 9.3. Asia-Pacific Autonomous Driving Software Market
    • 9.3.1. China Autonomous Driving Software Market
    • 9.3.2. India Autonomous Driving Software Market
    • 9.3.3. Japan Autonomous Driving Software Market
    • 9.3.4. Australia Autonomous Driving Software Market
    • 9.3.5. South Korea Autonomous Driving Software Market
    • 9.3.6. Rest of Asia Pacific Autonomous Driving Software Market
  • 9.4. Latin America Autonomous Driving Software Market
    • 9.4.1. Brazil Autonomous Driving Software Market
    • 9.4.2. Mexico Autonomous Driving Software Market
    • 9.4.3. Rest of Latin America Autonomous Driving Software Market
  • 9.5. Middle East & Africa Autonomous Driving Software Market
    • 9.5.1. Saudi Arabia Autonomous Driving Software Market
    • 9.5.2. South Africa Autonomous Driving Software Market
    • 9.5.3. Rest of Middle East & Africa Autonomous Driving Software Market

Chapter 10. Competitive Intelligence

  • 10.1. Key Company SWOT Analysis
    • 10.1.1. NVIDIA Corporation
    • 10.1.2. Waymo LLC
    • 10.1.3. Mobileye (An Intel Company)
  • 10.2. Top Market Strategies
  • 10.3. Company Profiles
    • 10.3.1. NVIDIA Corporation
      • 10.3.1.1. Key Information
      • 10.3.1.2. Overview
      • 10.3.1.3. Financial (Subject to Data Availability)
      • 10.3.1.4. Product Summary
      • 10.3.1.5. Market Strategies
    • 10.3.2. Waymo LLC
    • 10.3.3. Mobileye (An Intel Company)
    • 10.3.4. Aptiv PLC
    • 10.3.5. Tesla, Inc.
    • 10.3.6. Bosch Mobility Solutions
    • 10.3.7. General Motors (Cruise LLC)
    • 10.3.8. Hyundai Mobis
    • 10.3.9. Baidu, Inc.
    • 10.3.10. ZF Friedrichshafen AG
    • 10.3.11. Continental AG
    • 10.3.12. Valeo
    • 10.3.13. Aurora Innovation, Inc.
    • 10.3.14. NXP Semiconductors
    • 10.3.15. Argo AI

Chapter 11. Research Process

  • 11.1. Research Process
    • 11.1.1. Data Mining
    • 11.1.2. Analysis
    • 11.1.3. Market Estimation
    • 11.1.4. Validation
    • 11.1.5. Publishing
  • 11.2. Research Attributes
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