세계의 자율주행 소프트웨어 시장 : 자율주행 레벨별, 소프트웨어 유형별, 차종별, 추진력별, 지역별, 기회, 예측(2018-2032년)

Global autonomous driving software market is projected to witness a CAGR of 13.38% during the forecast period 2025-2032, growing from USD 1.79 billion in 2024 to USD 4.88 billion in 2032. The market has experienced significant growth in recent years and is expected to maintain an expansion in the coming years owing to growing requirements for safe and more efficient transportation solutions, incorporation of safety technologies in passenger vehicles, and rising development and adoption of autonomous vehicles.

Additionally, a confluence of key factors, foregrounding the transformative power of this technology, thereby identifying important technological advancements in the disciplines of artificial intelligence, machine learning, and sensor technologies that significantly enhance the capabilities of autonomous vehicles by furnishing them with the ability to process complex data in the surroundings for safer and more efficient navigation. This thirst for innovation is accompanied by the increasing quest for safer means of transport and increased global safety measures focusing motor vehicle manufacturers on better performance of sophisticated safety technologies in their products. Large electric vehicles support the advancement of autonomous driving software, as EVs are typically associated with an electronic architecture that enables seamless integration of autonomous systems, making them ideal platforms for these technologies. Increasing the efficiency of transportation increases mobility and alleviates congestion as fast-growing cities take over: with all these new people living in urban areas, there is a growing need to improve transport efficiency, and the autonomous vehicle steps into the fray as the way forward for mobility and decongesting cities.

Supporting growth is further aided by continued growth in the infrastructure that enables electric vehicles, such as smart charging stations and vehicle-to-everything communication networks that enhance the interaction between vehicles and their environment. Advanced driver-assistance system acceptance is supported by high-interest consumers in advanced technologies, which accelerates acceptance. Government support is also critical, through initiatives and regulation, to ensure safe autonomous driving technologies.

For instance, in January 2024, the World Economic Forum organized an annual meeting "Rebuilding Trust" in Davos. The theme resonates with the current state of the world at large and with the automated and autonomous vehicles (AV) sector. The main aim is to rebuild trust between the public and private sectors regarding AV deployments.

Technological Advancements Fueling the Autonomous Driving Software Market

Probably at the forefront of the drivers of autonomous vehicle software are technological advancements, heightening the capabilities and safety of self-driving vehicles. Artificial intelligence and machine learning innovations have played an important role in implementing it on these vehicles, which can read vast amounts of data captured by various sensors, including LiDAR, radar, and cameras. Advancements in sensor fusion are vital in creating a comprehensive understanding of a vehicle's environment. Consumer's interest in features such as advanced driver-assistance systems (ADAS) is accelerating the integration of autonomous software into personal vehicles. Features like adaptive cruise control and automatic emergency braking are becoming standard, further driving innovation in this sector. This processing of data allows autonomous vehicles to make real-time decisions and understand their surroundings, anticipate potential danger, and optimize their motion in complex dynamic road conditions, driving the global autonomous driving software market demand. The most evident trend is AI-based predictive analytics to allow cars to predict traffic flow and avoid collisions.

For instance, in August 2024, Helm.ai launched WorldGen-1: the first AI simulation tool that leverages high realism across a wide range of sensor and perception modalities and perspectives to help accelerate advancements and validation of autonomous driving systems to predict the behavior of vehicles and agents and extrapolates sensor data from one modality to another. WorldGen-1 is trained on thousands of diverse driving data and can generate high-accuracy and realistic sensor data sets for cameras, lidar, and odometry. Innovations like these are crucial for resolving difficult scenarios that autonomous vehicles might experience while driving on the road.

Government Initiatives Acting as Growth Catalyst

Most government initiatives act as catalysts in the global autonomous driving software market, so these policies boost innovation and make it easier to start research and development of self-driving technologies. In the United States, China, Germany, and Japan, policies and funding programs have been put in place to enable comprehensive research, testing, and deployment of autonomous vehicles. The support of the US government has been seen since the 2017FY administration put forward a USD 4 billion investment for a decade to develop self-driving cars. It would improve safety with real-world pilot programs, according to the funding. China has been taking the lead with strong government support on testing autonomous vehicles through initiatives like "Made in China 2025," which underlines smart transportation technologies. Germany has comprehensive legislation on testing and deploying autonomous vehicles across the board. Substantial investment in research and development by automotive giants, including Volkswagen AG and BMW AG, supports the innovation focus on autonomous driving in Germany. Scaling of the deployment of autonomous driving software goes hand-in-glove with European regulations on safer roads and lower emissions. It is also moving with its "fourth industrial revolution" initiative to work towards autonomous vehicles, making up 20% of all vehicles by 2030 in Japan. There is a significant investment in infrastructure and R&D on both sides by its government, collaborating between the public and private sectors.

For instance, in August 2023, Abu Dhabi's Department of Municipalities and Transport Accelerated the Smart Transport Project, Paving the Way for a Sustainable and Eco-Friendly Future. The smart transport project on Yas and Saadiyat Islands currently includes a fleet of 8 TXAI autonomous vehicles, the first fully automated self-driving taxis in the UAE. Initially launched with 5 TXAIs in November 2021, and enhanced with three more vehicles in November 2022, these 8 Robotaxis have revolutionized local transportation and gained increasing popularity.

Dominance of Electric Vehicles in Autonomous Driving Software Market

This combination of electric propulsion and self-driving technology would facilitate better energy efficiency and broader application opportunities for both electric propulsion as well as self-driving technologies. With the pace at which eco-friendly transportation is becoming the demand of the hour globally, electric vehicles seem to be an ideal vehicle to introduce autonomous driving technologies widely because they offer enhanced digital architectures with significantly improved capability. These electronic systems have rightly enabled the development of self-driving technology with vital features in EVs, such as sensors, AI, and communication technologies. Integration of autonomous driving software into an electric vehicle also works toward safety and efficiency. The strict regulations in other countries for safe vehicles have made it mandatory for auto manufacturers to integrate advanced safety features with respect to their cars.

For instance, in March 2024, Nissan Motor Co., Ltd. and Mitsubishi Corporation signed a memorandum of understanding to explore a new joint initiative in next-generation-mobility and energy-related services utilizing electric vehicles (EVs) to contribute to solving regional societal issues and to creating vibrant future communities. Nissan Motor Co., Ltd. initiative include mobility services, and autonomous driving tests in the Yokohama Minato Mirai District to achieve free movement for more people.

North America Dominates Autonomous Driving Software Market Share

North America dominates global autonomous driving software market growth and is fueled by significant advancements in artificial intelligence, machine learning, and sensor technologies, driven by industry giants like Tesla, Inc., Waymo LLC, and General Motors Holdings LLC. Furthermore, supportive government policies and regulations in the U.S. enhance the testing and deployment of autonomous vehicles, fostering an environment ripe for innovation. The National Highway Traffic Safety Administration (NHTSA) has also been instrumental in developing guidelines that promote the safe integration of autonomous driving systems. States like California and Nevada have established regulatory frameworks that allow extensive testing of autonomous vehicles on public roads, creating a conducive environment for technological advancements.

For instance, in March 2024, the U.S. government designated USD 118 million in funds to the U.S. Department of Transportation for Automated Driving Systems (ADS) research that facilitates innovation and development of new tests, tools, and procedures to properly evaluate the safety of new technologies surrounding highly and fully automated vehicles.

Future Market Scenario (2025 - 2032F)

Integration of 5G technology is anticipated to enhance connectivity and data processing capabilities, enabling more efficient operation of autonomous vehicles.

Governments worldwide are implementing regulations that facilitate the testing and deployment of autonomous vehicles, which will create a supportive environment for innovation and market expansion

As the industry continues to innovate, it will likely see increased collaboration among automakers, technology providers, and regulatory bodies to enhance safety and efficiency in transportation.

Key Players Landscape and Outlook

Fueled by rapid technological advancements and increasing consumer demand for enhanced vehicle safety and automation features. Major players in this market, including industry giants like Tesla, Inc., Waymo LLC, AUDI AG, General Motors, and leading Original Equipment Manufacturers (OEMs) are at the forefront of developing innovative technologies that redefine vehicle automation. By combining data from multiple sensors, AI systems can achieve a level of perception that mimics human capabilities, allowing for more informed decision-making. This technology is essential for ensuring safe navigation in complex traffic situations. Collaborations with technology providers are crucial for integrating advanced hardware and software solutions, leveraging cutting-edge sensor technologies such as LiDAR, radar, and cameras to enhance the driving experience.

For instance, in December 2024, Tesla, Inc. rolled out a new version of its self-driving software, version 13.2 of Tesla's highest-level driver assistance software called Full Self-Driving (FSD) software to achieve promised improvements in safety and autonomy metrics.

For instance, in August 2024, Uber Technologies Inc. and Wayve Technologies Ltd collaborated with automotive OEMs to use Wayve's AI to enable a range of automated driving capabilities. Both Companies agree to put future Wayve-powered self-driving vehicles on the Uber network in multiple markets around the world. With the additional funding and support from Uber Technologies Inc., Wayve Technologies Ltd intends to accelerate its work with global OEMs to enhance consumer vehicles with Level 2+ advanced driver assistance and Level 3 automated driving capabilities while also working towards the development of globally scalable Level 4 autonomous vehicles for future deployment on Uber.

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Executive Summary

4. Voice of Customer

• 4.1. Product and Market Intelligence
• 4.2. Mode of Brand Awareness
• 4.3. Factors Considered in Purchase Decisions
  • 4.3.1. Features and Other Value-Added Service
  • 4.3.2. Compatibility and Durability
  • 4.3.3. Efficiency of Solutions
  • 4.3.4. After-Sales Support
• 4.4. Consideration of Privacy and Regulations

5. Global Autonomous Driving Software Market Outlook, 2018-2032F

• 5.1. Market Size Analysis & Forecast
  • 5.1.1. By Value
  • 5.1.2. By Volume
• 5.2. Market Share Analysis & Forecast
  • 5.2.1. By Level of Autonomous Driving
    • 5.2.1.1. Level 1-Driver Assistance
    • 5.2.1.2. Level 2-Partial Driver Assistance
    • 5.2.1.3. Level 3-Conditional Driving Automation
    • 5.2.1.4. Level 4-High Driving Automation
    • 5.2.1.5. Level 5-Full Driving Automation
  • 5.2.2. By Software Type
    • 5.2.2.1. Perception and Planning
    • 5.2.2.2. Chauffeur
    • 5.2.2.3. Interior Sensing
    • 5.2.2.4. Monitoring
  • 5.2.3. By Vehicle Type
    • 5.2.3.1. Passenger Car
    • 5.2.3.2. Commercial Car
  • 5.2.4. By Propulsion
    • 5.2.4.1. Internal Combustion Engine
    • 5.2.4.2. Electric
  • 5.2.5. By Region
    • 5.2.5.1. North America
    • 5.2.5.2. Europe
    • 5.2.5.3. Asia-Pacific
    • 5.2.5.4. South America
    • 5.2.5.5. Middle East and Africa
  • 5.2.6. By Company Market Share Analysis (Top 5 Companies and Others - By Value, 2024)
• 5.3. Market Map Analysis, 2024
  • 5.3.1. By Level of Autonomous Driving
  • 5.3.2. By Software Type
  • 5.3.3. By Vehicle Type
  • 5.3.4. By Propulsion
  • 5.3.5. By Region

6. North America Autonomous Driving Software Market Outlook, 2018-2032F*

• 6.1. Market Size Analysis & Forecast
  • 6.1.1. By Value
  • 6.1.2. By Volume
• 6.2. Market Share Analysis & Forecast
  • 6.2.1. By Level of Autonomous Driving
    • 6.2.1.1. Level 1-Driver Assistance
    • 6.2.1.2. Level 2-Partial Driver Assistance
    • 6.2.1.3. Level 3-Conditional Driving Automation
    • 6.2.1.4. Level 4-High Driving Automation
    • 6.2.1.5. Level 5-Full Driving Automation
  • 6.2.2. By Software Type
    • 6.2.2.1. Perception and Planning
    • 6.2.2.2. Chauffeur
    • 6.2.2.3. Interior Sensing
    • 6.2.2.4. Monitoring
  • 6.2.3. By Vehicle Type
    • 6.2.3.1. Passenger Car
    • 6.2.3.2. Commercial Car
  • 6.2.4. By Propulsion
    • 6.2.4.1. Internal Combustion Engine
    • 6.2.4.2. Electric
  • 6.2.5. By Country Share
    • 6.2.5.1. United States
    • 6.2.5.2. Canada
    • 6.2.5.3. Mexico
• 6.3. Country Market Assessment
  • 6.3.1. United States Autonomous Driving Software Market Outlook, 2018-2032F*
    • 6.3.1.1. Market Size Analysis & Forecast
      • 6.3.1.1.1. By Value
      • 6.3.1.1.2. By Volume
    • 6.3.1.2. Market Share Analysis & Forecast
      • 6.3.1.2.1. By Level of Autonomous Driving
        • 6.3.1.2.1.1. Level 1-Driver Assistance
        • 6.3.1.2.1.2. Level 2-Partial Driver Assistance
        • 6.3.1.2.1.3. Level 3-Conditional Driving Automation
        • 6.3.1.2.1.4. Level 4-High Driving Automation
        • 6.3.1.2.1.5. Level 5-Full Driving Automation
      • 6.3.1.2.2. By Software Type
        • 6.3.1.2.2.1. Perception and Planning
        • 6.3.1.2.2.2. Chauffeur
        • 6.3.1.2.2.3. Interior Sensing
        • 6.3.1.2.2.4. Monitoring
      • 6.3.1.2.3. By Vehicle Type
        • 6.3.1.2.3.1. Passenger Car
        • 6.3.1.2.3.2. Commercial Car
      • 6.3.1.2.4. By Propulsion
        • 6.3.1.2.4.1. Internal Combustion Engine
        • 6.3.1.2.4.2. Electric
  • 6.3.2. Canada
  • 6.3.3. Mexico

All segments will be provided for all regions and countries covered

7. Europe Autonomous Driving Software Market Outlook, 2018-2032F

• 7.1. Germany
• 7.2. France
• 7.3. Italy
• 7.4. United Kingdom
• 7.5. Russia
• 7.6. Netherlands
• 7.7. Spain
• 7.8. Turkey
• 7.9. Poland

8. Asia-Pacific Autonomous Driving Software Market Outlook, 2018-2032F

• 8.1. India
• 8.2. China
• 8.3. Japan
• 8.4. Australia
• 8.5. Vietnam
• 8.6. South Korea
• 8.7. Indonesia
• 8.8. Philippines

9. South America Autonomous Driving Software Market Outlook, 2018-2032F

• 9.1. Brazil
• 9.2. Argentina

10. Middle East and Africa Autonomous Driving Software Market Outlook, 2018-2032F

• 10.1. Saudi Arabia
• 10.2. UAE
• 10.3. South Africa

11. Demand Supply Analysis

12. Import and Export Analysis

13. Value Chain Analysis

14. Porter's Five Forces Analysis

15. PESTLE Analysis

16. Pricing Analysis

17. Market Dynamics

• 17.1. Market Drivers
• 17.2. Market Challenges

18. Market Trends and Developments

19. Case Studies

20. Competitive Landscape

• 20.1. Competition Matrix of Top 5 Market Leaders
• 20.2. SWOT Analysis for Top 5 Players
• 20.3. Key Players Landscape for Top 10 Market Players
  • 20.3.1. NVIDIA Corporation
    • 20.3.1.1. Company Details
    • 20.3.1.2. Key Management Personnel
    • 20.3.1.3. Products and Services
    • 20.3.1.4. Financials (As Reported)
    • 20.3.1.5. Key Market Focus and Geographical Presence
    • 20.3.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisition
  • 20.3.2. Qualcomm Technologies, Inc.
  • 20.3.3. Huawei Technologies Co., Ltd.
  • 20.3.4. Aptiv
  • 20.3.5. Aurora Operations, Inc.
  • 20.3.6. Tesla, Inc.
  • 20.3.7. Wind River Systems, Inc.
  • 20.3.8. Waymo LLC
  • 20.3.9. General Motors
  • 20.3.10. Wayve Technologies Ltd
  • 20.3.11. AUDI AG

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

21. Strategic Recommendations

22. About Us and Disclaimer