BOSTON, Dec. 17, 2025 (Globe Newswire) — According to a new study from BCC Research, “AI in Automotive: Global Market” is projected to increase from $6.2 billion in 2025 to $21 billion by the end of 2030, at a compound annual growth rate (CAGR) of 27.5% from 2025 to 2030.
The report provides a comprehensive analysis of the global Automotive AI market, segmenting the market by product, technology, process, application, vehicle type, propulsion, and connectivity. The report covers North America, Europe, Asia Pacific, and Rest of the World and includes market insights for key countries such as the United States, Canada, China, Japan, India, Germany, France, and the United Kingdom. This report provides profiles of key companies, including their financials, product portfolios, competitive strategies, and ESG initiatives. We also examine macroeconomic impacts (such as tariffs imposed by the United States), emerging technologies, and patent trends.
This report is especially relevant at a time when artificial intelligence is rapidly transforming the automotive industry by enhancing vehicle safety, improving traffic flow, and enabling smarter, more efficient transportation systems. AI-powered features such as predictive maintenance detect problems early, reduce downtime, and extend the life of your vehicle. As industries move toward automation and intelligent mobility, understanding current market conditions, emerging technologies, and strategic moves by leading companies is critical to staying competitive and informed.
Factors driving market growth include:
Consumer demand for self-driving cars: Consumers are increasingly demanding vehicles with self-driving capabilities that offer greater safety, convenience, and comfort. This demand is driven by a desire for reduced driving stress, improved traffic management, and technology-enhanced mobility, especially among young people and urban populations.
Government support for AI in the automotive industry: Governments around the world are promoting AI in vehicles through incentives, safety regulations, and infrastructure investments. Their support will help accelerate innovation in autonomous driving, smart transportation systems, and vehicle connectivity, making AI integration more viable for manufacturers.
Improved in-car experience: AI is transforming the driving experience by enabling personalized settings, intelligent voice assistants, and predictive vehicle maintenance. These innovations make driving more enjoyable, efficient and easier to use, increasing consumer satisfaction and brand loyalty.
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Report summary
| Report metrics | detail |
| Base year considered | 2024 |
| Forecast period considered | 2025-2030 |
| Base year market size | $5.2 billion |
| Market size forecast | $21 billion |
| growth rate | CAGR of 27.5% for the forecast period 2025-2030 |
| Target segment | Offerings, Technology, Processes, Applications, Vehicles, Propulsion, Connectivity |
| Target area | North America, Europe, Asia Pacific, and other regions |
| Target country | United States, Canada, Mexico, United Kingdom, Italy, France, Germany, Spain, Poland, Sweden, China, India, Japan, South Korea, Taiwan, Indonesia, South America, Middle East, Africa |
| market drivers |
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Interesting facts:
- The integration of AI in the automotive sector is That trend is accelerating as automakers add innovative features that improve safety, efficiency, and user experience. This adoption will support advancements in driver assistance and autonomous driving systems.
- AI is helping the industry move toward sustainability by increasing vehicle fuel efficiency, improving battery and energy management, and enabling predictive maintenance. These AI-powered improvements reduce emissions and reduce waste throughout the vehicle lifecycle.
- Governments around the world are pushing for AI in the automotive industry. They provide financial incentives, set safety standards, and develop regulations to foster innovation while maintaining the reliability and cybersecurity of AI-powered vehicles.
Emerging startups:
- AI Co., Ltd. provides high-performance sensing solutions for autonomous vehicles, ADAS, and smart infrastructure. The 4Sight intelligent sensing platform enables real-time adaptive scanning, providing improved accuracy and long-range recognition for safer and more efficient mobility.
- Edvantis We develop AI-powered automotive solutions, cloud technology, and big data analytics. The company supports companies of all sizes with scalable software, driving digital transformation across automotive technology..
- iris is a software and AI technology company focused on in-vehicle sensing and driver monitoring systems for the automotive industry. The company's solutions use advanced facial analysis and vision AI to detect driver inattention, distraction, and fatigue, improving vehicle safety and user experience.
This report addresses the following questions:
- What is the expected size and growth rate of the market?
- The global market for AI in automotive was valued at $5.2 billion in 2024 and is expected to reach $21 billion by the end of 2030, at a CAGR of 27.5%.
- What are the factors driving market growth?
- Consumer demand for self-driving cars is increasing.
- Government support for the integration of AI into the automotive industry.
- There is a growing focus on improving the in-car experience.
- what Are the market segments covered in the report?
- The market is segmented on the basis of product, technology, process, application, vehicle, propulsion, connectivity, and region.
- which one Will the offering segment be dominant until 2030?
- The software sector is expected to dominate the market until 2030.
- Which region has the largest market share?
- North America accounts for the largest share of the global market.
- What are the challenges and opportunities in the market?
- Data privacy and cybersecurity risks.
- High development and integration costs.
- Demand for fleet mobility services.
- Increased use of AI in vehicle design.
Market leaders include companies such as:
- Advanced Micro Devices Co., Ltd.
- Cerence Co., Ltd.
- Cognata
- Continental AG
- Hiro Technologies Co., Ltd.
- here
- IBM Co., Ltd.
- Intel Corporation
- Micron Technology Co., Ltd.
- microsoft
- NVIDIA Corporation
- Qualcomm Technologies Inc.
- Robert Bosch GMBH
- Scale Eye Co., Ltd.
- wave
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