AI in self-driving cars market to top $49 billion by 2030

The Business Research Company says artificial intelligence for self-driving cars will surpass $49 billion by 2030, with North America and the U.S. leading growth. The report points to software, safety demands, and autonomous mobility services as the biggest market drivers.

Why it matters: - AI is becoming the core software layer in autonomous vehicles, shaping safety, navigation and deployment speed across the transportation sector. - The market is projected to exceed $49 billion by 2030, making it a material slice of the broader autonomous vehicle economy. - Growth in AI for self-driving cars could influence how automakers, mobility firms and suppliers compete for market share over the next decade.

What happened: - The Business Research Company published its Artificial Intelligence (AI) in Self-Driving Cars Global Market Report 2026 – Market Size, Trends, And Forecast 2026-2035 on Oct. 26, 2026. - The report projects the AI-in-self-driving-cars market will surpass $49 billion by 2030. - The report says the broader autonomous vehicle market will reach about $275 billion by 2030. - The report says the overall transport industry will swell to $9,400 billion by 2030. - North America is projected to lead the market with $16.9 billion in 2030 revenue. - The U.S. is projected to be the largest single-country market, at $14.8 billion in 2030.

The details: - The AI segment is expected to represent about 18% of the autonomous vehicle market by 2030. - The segment is expected to represent nearly 1% of total transport industry value by 2030. - North America is forecast to grow from $2.1 billion in 2025 to $16.9 billion in 2030, a 52% compound annual growth rate. - The U.S. market is forecast to rise from $1.8 billion in 2025 to $14.8 billion in 2030, also at a 52% CAGR. - Software is expected to be the largest component segment, with 50% share and about $24 billion in 2030 revenue. - The software segment is being driven by autonomous driving algorithms, machine learning-based perception models, over-the-air updates, sensor data processing, virtual testing and cybersecurity tools. - Market technologies include computer vision, natural language processing, machine learning and deep learning, sensor fusion AI and other methods. - AI applications include perception, localization and mapping, decision-making and path planning, driver monitoring, predictive maintenance, and traffic and navigation assistance. - Vehicle types covered in the report include passenger cars, light commercial vehicles and heavy commercial vehicles. - The report says hardware, software and services together will contribute more than $43 billion to the market by 2030. - From 2025 to 2030, hardware is projected to grow by $10 billion, software by $23 billion and services by $10 billion. - Waymo LLC led the global market in 2025 with a 2% share. - Other companies named in the report include Mobileye Global, Tesla, NVIDIA, Pony.ai, Baidu Apollo, Momenta, Cruise, Motional, Wayve, Nuro, Innoviz, May Mobility, Gatik, Oxbotica, Aptiv, WeRide, Einride, AImotive, Avride, EasyMile, Luminar Technologies and Velodyne Lidar. - The report says the top 10 players captured around 10% of total revenue in 2025, indicating a fragmented market. - Raw material and component suppliers listed include NVIDIA, Intel, Qualcomm, AMD, Texas Instruments, NXP Semiconductors, Infineon, STMicroelectronics, Renesas, Analog Devices, Microchip Technology, Broadcom, Marvell, MediaTek, Sony Semiconductor Solutions, Samsung Electronics, Micron, SK Hynix, Western Digital, Seagate, Bosch Sensortec, Continental, Denso, Valeo and ZF Friedrichshafen. - Wholesalers and distributors listed include Arrow Electronics, Avnet, Digi-Key, Mouser, Future Electronics, TTI, RS Group, Newark, Allied Electronics & Automation, element14, Ingram Micro, Tech Data, TD SYNNEX, ScanSource, CDW, Insight Enterprises, Bechtle, ALSO Holding, Esprinet, Redington, Westcon Group, Exclusive Networks, WESCO, Macnica and Rutronik. - End users listed include Tesla, Waymo, General Motors, Ford, Toyota, Mercedes-Benz, BMW, Volkswagen, Hyundai, Nissan, Honda, Stellantis, Volvo Cars, BYD, Rivian, Lucid, Aptiv, Mobileye, Aurora, Zoox, Pony.ai, WeRide, Nuro, Motional and Baidu Apollo.

Between the lines: - The report frames safety, autonomy and operational efficiency as the main commercial case for AI adoption in self-driving vehicles. - Growth is being pushed by demand for accident reduction, shared mobility services and government support for smart transportation. - The report says road safety demand contributes about 1.5% annual growth, autonomous mobility and shared transportation about 1.0%, and government support about 0.5%. - Embodied intelligence is emerging as a competitive theme because it improves perception and real-time decision-making. - Wayve Ltd. launched Wayve Labs in May 2026 to advance embodied AI research for autonomous vehicles and physical-world interactions. - The competitive field is still wide open enough that partnerships, regulatory readiness and real-time vehicle intelligence remain key differentiators.

What's next: - Companies are expected to keep investing in AI algorithms, sensor fusion, navigation systems and safety frameworks. - Autonomous vehicle developers will likely keep expanding testing, deployment and validation programs as regulations and infrastructure evolve. - The report says future market gains will continue to come from stronger AI processors, automotive computing platforms and LiDAR, radar and camera-based sensing systems. - More information - The full report

The bottom line: - AI is moving from an enabling technology to the main value driver in self-driving cars, and the biggest near-term gains appear concentrated in software, North America and U.S. deployment.