市场调查报告书
商品编码
1607777
自动驾驶软体的全球市场:各自动驾驶等级,各软体类型,各车辆类型,推动因素,各地区,机会,预测,2018年~2032年Autonomous Driving Software Market Assessment, By Level of Autonomous Driving, By Software Type, By Vehicle Type, By Propulsion, By Region, Opportunities and Forecast, 2018-2032F |
2025-2032年预测期间,全球自动驾驶软体市场规模将以13.38%的复合年增长率成长,从2024年的17.9亿美元成长到2032年的48.8亿美元。由于最近的趋势,该市场经历了显着增长,并且由于对安全高效的运输解决方案的需求不断增长、安全技术与乘用车的整合以及自动驾驶车辆的不断开发和采用,该市场将继续扩大。
此外,关键因素汇聚在一起,突出了这项技术的变革力量,人工智慧、机器学习和感测器技术领域的重大技术进步使自动驾驶汽车具备了更安全、更有效率的导航能力。复杂的数据将大大增强他们的能力。随着汽车製造商专注于提高其产品中先进安全技术的性能,人们对更安全的交通选择和安全措施的要求不断提高,从而产生了这种对创新的渴望。大型电动车支援自动驾驶软体的进步。这是因为电动车通常具有能够无缝整合自动驾驶系统的电子架构,使其成为这些技术的理想平台。提高交通效率可以增加快速发展的城市的流动性并减少拥挤。新的城市人口正在推动提高交通效率的需求,自动驾驶汽车也加入了这场竞争,作为促进流动性和缓解城市拥挤的一种方式。
支援电动车的基础设施的持续成长将支持成长,例如智慧充电站和增强车辆与其环境之间互动的车对车通讯网路。 ADAS(进阶驾驶辅助系统)的接受度是由消费者对先进技术的高度兴趣所推动的,而这种接受度正在加速。政府透过措施和法规提供的支援对于确保安全的自动驾驶技术也至关重要。
本报告提供全球自动驾驶软体市场相关调查,提供市场概要,以及各自动驾驶等级,各软体类型,各车辆类型,推动因素,各地区趋势,及加入此市场的主要企业简介等资讯。
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.
All segments will be provided for all regions and countries covered
Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.