Automotive AI Chipset Market Size, Share, and Trends Analysis, By Component (Hardware, Software, Services), By Processing Type (Machine Learning, Deep Learning), By Vehicle Type (Passenger Vehicles, Commercial Vehicles), By Application (Autonomous Driving, Telematics, Predictive Maintenance) and By Region, Forecast 2025-2032

Automotive AI Chipset Market Overview and Key Insights:

The global automotive AI chipset market reached USD 3,142.8 Million in 2024 and is expected to register a revenue CAGR of 21.2% during the forecast period. Increasing investments in self-driving technologies, rising expansion of Advanced Driver Assistance Systems (ADAS), proliferation of connected cars and V2X communication, and rising need for AI-based cybersecurity solutions in automotive are expected to drive revenue growth of the market.

Market Drivers:

Increasing investments in self-driving technologies are the major factors driving revenue growth of the market. Recently, automakers and technology firms have ramped up their efforts to develop Advanced Driver Assistance Systems (ADAS) and fully autonomous vehicles. It creates demand for high-performance AI chipsets capable of processing vast amounts of sensor data in real-time. In May 2024, Hyundai Motor Group, the South Korean automaker, committed to investing nearly USD 1 billion in the self-driving technology company Motional. Hyundai will acquire an 11% stake in Motional’s common equity from Aptiv for USD 448 million as part of this investment. This sustained influx of capital and technological advancements is expected to boost the adoption of AI chipsets and propel revenue growth of the market.

In addition, rising consumer interest in vehicle automation, and strategic partnerships between semiconductor companies and automotive manufacturers are further fueling market expansion. In February 2024, for instance, Infineon Technologies and Honda Motor entered into a Memorandum of Understanding (MoU) to establish a strategic partnership. As part of this collaboration, Honda has selected Infineon as its semiconductor partner to align future technology and product roadmaps. Infineon will provide support through advanced technologies, focusing on power semiconductors, ADAS, and E/E architectures to help Honda develop competitive and technologically advanced vehicles.

Market Opportunity:

Growing adoption of Electric Vehicle (EV) is creating significant opportunities for the market.  According to International Energy Agency (IEA), nearly 14 million new electric cars were registered worldwide in 2023. It increases the total number of EVs on the road to 40 million. This represents a rise of 3.5 million units compared to 2022, reflecting a 35% year-over-year growth. Electric vehicles made up approximately 18% of all car sales in 2023, up from 14% the previous year. EVs increasingly integrate Advanced Driver Assistance Systems (ADAS), smart battery management, and autonomous driving capabilities. All of these rely on high-performance AI chipsets for real-time data processing and decision-making. In addition, the shift toward Software-Defined Vehicles (SDVs) in the EV sector is driving the need for AI-powered processors to manage complex electronic and connectivity systems, which creates a high demand for AI chipsets in the automotive sector.

Recent Trends:

One recent trend in the automotive AI chipset market is the advancements in neuromorphic computing. Neuromorphic chips provide real-time decision-making with lower power consumption. This makes the chip ideal for automotive applications such as autonomous driving, Advanced Driver Assistance Systems (ADAS), and predictive maintenance. Neuromorphic AI chips excel in pattern recognition, sensor fusion, and real-time adaptability, enhancing vehicle perception and responsiveness.

Automakers, Governments and semiconductor companies are increasingly investing in neuromorphic computing to improve the efficiency and intelligence of AI-driven automotive systems. In October 2024, for instance, Mercedes-Benz, in collaboration with the Ontario government through the Ontario Vehicle Innovation Network (OVIN), is setting up incubators to support startup creation, scouting, and automotive innovation in Ontario, Canada. These OVIN Incubators will become part of the expanding global Mercedes-Benz Startup Autobahn network. The initiative seeks to accelerate the transition from innovation to industrialization by leveraging Ontario’s strong expertise in advanced automotive technology and smart mobility. Additionally, a research partnership with the University of Waterloo will enhance ongoing academic studies in neuromorphic computing.

Restraints & Challenges:

Data privacy & security concerns pose a significant challenge to the automotive AI chipset market. Vehicles are now connected and reliant mostly on AI-driven systems for autonomous driving. It generates and processes vast amounts of sensitive data, including real-time location tracking, biometric authentication, and driver behavior analysis. However, the risk of cyber threats, data breaches, and unauthorized access has raised regulatory scrutiny and consumer apprehension. It leads to stricter compliance requirements. Automakers and chipset manufacturers must invest heavily in robust cybersecurity frameworks, encryption technologies, and secure data processing solutions. It increases production costs and potentially delays product rollouts.

In September 2024, The U.S. Department of Commerce (DoC) proposed a ban on importing or selling connected vehicles that incorporate software and hardware from foreign adversaries, particularly China and Russia. The Bureau of Industry and Security (BIS) stated that certain technologies originating from these countries present a significant risk to U.S. critical infrastructure and connected vehicle users. This poses potential threats to national security and the privacy of U.S. citizens, raising concerns about cybersecurity vulnerabilities and data protection.

Component Segment Insights and Analysis:

Based on the component, the automotive AI chipset market is segmented into hardware, software and services.

Hardware segment contributed the largest share in 2024 due to the increasing demand for high-performance computing solutions in autonomous driving, ADAS, and connected vehicle technologies. Connected and autonomous vehicles require specialized AI processors, GPUs, and neuromorphic chips for handling complex real-time data processing from multiple sensors, cameras, and LiDAR systems. The shift towards Software-Defined Vehicles (SDVs) and edge AI processing is further driving the need for advanced automotive chipsets that increase in-vehicle computing power while optimizing energy efficiency.

In addition, the adoption of electrification and V2X communication technologies also contributes to increased demand for high-performance AI hardware. In April 2024, Autotalks partnered with Secure-IC, a spinoff from Télécom Paris specializing in embedded security, to strengthen the security of its third-generation V2X communication chipset. V2X technology is designed to significantly enhance traffic safety and efficiency. It enables secure message exchange among all road users, including vehicles, trucks, road infrastructure, two-wheelers, and pedestrians. This communication allows them to share critical information such as location, speed, and direction to improve overall road safety.

Vehicle Type Segment Insights and Analysis:

Based on vehicle type, the automotive AI chipset market is segmented into passenger vehicles and commercial vehicles. Commercial vehicles are further sub-segmented into Light Commercial Vehicles (LCVs), and Heavy Commercial Vehicles (HCVs).

Passenger vehicles segment contributed the largest share in 2024 due to the increasing integration of Advanced Driver Assistance Systems (ADAS), autonomous driving features, and smart infotainment systems. Vehicle owners are demanding enhanced safety, convenience, and connectivity. It leads automakers to adopt AI-powered chipsets for real-time data processing, sensor fusion, and intelligent decision-making. The rise of software-defined vehicles (SDVs) and over-the-air (OTA) updates further accelerates the need for high-performance AI hardware in passenger cars. Additionally, the growing adoption of Electric Vehicles (EVs), which require AI-driven battery management and energy optimization, is fueling demand for automotive AI chipsets in passenger vehicles.

The year 2023 marked a significant milestone for the electric vehicle (EV) market, with global sales exceeding 14 million units. EVs now account for over 15% of the global passenger vehicle market, reflecting steady growth from 14% in 2022 and 8.9% in 2021. Recent data from the European Union highlights a promising trajectory for EV adoption in the region. Between January and November 2023, nearly 47.6% of all new passenger car registrations were electrified vehicles, which is expected to boost revenue growth of this segment.

Application Segment Insights and Analysis:

Based on application, the automotive AI chipset market is segmented into Advanced Driver Assistance Systems (ADAS), autonomous driving infotainment systems, telematics, voice & gesture recognition, predictive maintenance, cybersecurity and others.

Advanced Driver Assistance Systems (ADAS) segment contributed the largest revenue share in 2024 due to the increasing emphasis on vehicle safety, automation, and regulatory compliance. Governments across the globe are implementing stringent safety regulations, mandating features such as Automatic Emergency Braking (AEB), Lane Departure Warning (LDW), And Adaptive Cruise Control (ACC). All of which rely on AI-powered chipsets for real-time data processing. Additionally, consumer demand for enhanced driving comfort and accident prevention is pushing automakers to integrate AI-driven perception technologies, including sensor fusion, LiDAR, radar, and computer vision.

Ceva, Inc., a leading provider of silicon and software IP has announced that Oritek Semiconductor, a specialist in AI system-on-chip (SoC) solutions for intelligent automotive platforms, has licensed Ceva’s SensPro Vision AI DSP for its Longquan 560 series of Advanced Driver Assistance Systems (ADAS) chipsets. The Longquan 560 series reflects Oritek’s dedication to innovation, addressing the diverse needs of electric vehicles (EVs) with AI-powered applications such as smart headlights, camera monitoring systems (CMS), zone control units (ZCU), and integrated central computing units for driving and parking. These chipsets incorporate the Ceva-SensPro Vision AI DSP, a high-performance, energy-efficient processor designed to handle complex sensor processing and AI workloads in modern automotive environments.

Geographical Outlook:

Automotive AI chipset market is strategically segmented by geography to provide a comprehensive understanding of regional market dynamic. Discover demand analysis, emerging trends, and growth opportunities shaping market performance across different region and countries.

North America Automotive AI Chipset Market:

Market in North America accounted for largest revenue share in 2024 due to the rapid advancements in autonomous driving, connected vehicles, and electric mobility in the region, especially in U.S. and Canada. The region is home to leading automakers, AI chipset manufacturers, and technology giants investing heavily in AI-powered automotive solutions. For instance, Qualcomm is collaborating with Alpine, Amazon, Leapmotor, Mobis, Royal Enfield, and Sony Honda Mobility, all of which leverage Snapdragon Digital Chassis solutions to enhance AI-driven in-cabin experiences and advanced driver assistance systems (ADAS). The company also highlighted the growing adoption of its Snapdragon Elite-tier automotive platforms, emphasizing its collaborations with Desay, Garmin, and Panasonic for Snapdragon Cockpit Elite.

In March 2025, Taiwan Semiconductor Manufacturing Co. (TSMC), the world’s leading producer of AI chips, plans to invest an additional USD 100 billion in its U.S. facilities to expand chip production domestically. It aligns with the U.S. government’s objective of strengthening domestic manufacturing. This investment builds upon TSMC’s previously announced USD 65 billion commitment in the U.S. and will eventually increase its presence to a total of five manufacturing plants in U.S. The initiative supports the ambition of the U.S. government to establish leadership in AI and represents one of the latest major technology investments in the country which is expected to drive revenue growth of automotive AI chipset market in the region.

Asia Pacific Automotive AI Chipset Market:

Asia Pacific is expected to register a fast revenue growth rate during the forecast period due to the increasing adoption of autonomous driving, Advanced Driver Assistance Systems (ADAS), and connected vehicle technologies in the region. The region is home to major automotive and semiconductor manufacturers, including TSMC, Samsung, and Renesas, which are heavily investing in AI-driven automotive solutions. Governments in countries such as China, Japan, South Korea, and India are actively supporting the Electric Vehicle (EV) industry through subsidies and infrastructure development.

In January 2025, China launched a new Artificial Intelligence (AI) investment fund with an initial capital of 60 billion yuan (USD 8.2 billion), aiming to accelerate domestic AI development amid escalating U.S. restrictions on advanced semiconductor exports. This initiative is driving revenue growth of the automotive AI chipset market in China by fueling investment in AI-powered vehicle technologies, including autonomous driving, ADAS, and intelligent in-cabin systems. China is emerging as a key hub for automotive AI innovation and significantly contributing to the revenue growth of the market in the Asia Pacific region.

Europe Automotive AI Chipset Market:

Market in Europe accounted for a significant revenue share in 2024 due to the stringent government regulations, increasing adoption of Electric Vehicles (EVs), and advancements in autonomous driving technologies in the region. In September 2024, sales of Battery-Electric Vehicles (BEVs) in Europe increased by 9.8%. It highlights the continued strong demand and growing consumer interest in electric cars. In addition, The European Union’s strict safety mandates, such as the General Safety Regulation (GSR), prompted automakers to integrate AI-powered Advanced Driver Assistance Systems (ADAS) which creates high demand for AI chipsets in automotive in the region.

A recent survey indicates that 22% of road users in the United Kingdom would trust and feel comfortable traveling in a driverless car. It reflects a growing acceptance of autonomous vehicle technology. This increasing consumer confidence is driving revenue growth in the automotive AI chipset market in the region by accelerating the demand for AI-powered computing solutions essential for autonomous driving systems.

Competition Analysis:

The Automotive AI Chipset market is characterized by a fragmented structure, with numerous players competing across various segments and regions. List of major players included in the automotive AI chipset market report are:

• NVIDIA Corporation
• Intel Corporation
• Qualcomm Technologies Inc.
• Advanced Micro Devices, Inc.
• Renesas Electronics
• NXP Semiconductors
• Infineon Technologies
• STMicroelectronics
• Samsung Electronics
• Graphcore
• Micron Technology, Inc
• Huawei Technologies Co., Ltd

Strategic Developments in Automotive AI Chipset Market:

• On 23 October 2024, Qualcomm announced a collaboration with Alphabet’s Google to provide a chip and software solution enabling automakers to develop AI-powered voice assistants using technology from both companies. Qualcomm, known for powering mobile devices with Google’s Android operating system, has expanded its presence in the automotive sector. The company is offering chipsets that support both vehicle dashboard systems and automated driving technologies, utilized by General Motors and other automakers.
• On 18 March, 2024, MediaTek introduced four new automotive system-on-chip (SoC) solutions under its Dimensity Auto Cockpit portfolio. It is designed to enhance AI-driven in-cabin experiences for next-generation smart vehicles. The new SoCs C-X1, C-Y1, C-M1, and C-V1 will support NVIDIA DRIVE OS. It allows automakers to integrate the platform across various vehicle segments, from premium models (C-X1) to entry-level cars (C-V1).
• On 04 January 2024, Advanced Micro Devices, Inc. (AMD) unveiled plans to expand its automotive chip portfolio with the launch of two new products: the Versal AI Edge XA adaptive system-on-chip (SoC) and the Ryzen Embedded V2000A Series processor. These advanced chips are designed to cater to key automotive segments, including infotainment, advanced driver safety, and autonomous driving. It enhances vehicle intelligence and performance.

Key Advantages for Stakeholders:

Navistrat Analytics’ industry report provides an in-depth quantitative analysis of various market segments, historical and current trends, market forecasts, and dynamics within the global market. The historical years covered in this report are 2022 to 2023, with 2024 serving as the base year for market size calculations. The forecast period extends from 2025 to 2032.

The report includes an executive summary and a comprehensive overview of market drivers, restraints, opportunities, and challenges (DROC), along with insights into regulatory standards. It features detailed analyses such as PORTER’s Five Forces, SWOT, and PESTLE, as well as assessments of technological trends and the competitive landscape.

PORTER’s Five Forces analysis helps stakeholders evaluate the impact of new entrants, competitive rivalry, supplier power, buyer power, and substitution threats, enabling them to assess the level of competition and the attractiveness of the global market. The competitive landscape provides stakeholders with a clear understanding of the current market positions of key players, offering valuable insights into their competitive environment.

Scope And Key Highlights of The Automotive AI Chipset Market Report:

The automotive AI chipset market report offers a detailed analysis of market size, including historical revenue (in USD Million) data for 2022-2023 and revenue forecasts for 2025-2032 across the following segments:

• Component (Revenue, USD Million; 2022-2032)
  • Hardware
    • Graphics Processing Unit (GPU)
    • Central Processing Unit (CPU)
    • Field Programmable Gate Array (FPGA)
    • Application-Specific Integrated Circuit (ASIC)
  • Software
    • AI Frameworks
    • Middleware
    • Others
  • Services
    • Deployment & Integration
    • Support & Maintenance

• Processing Type Outlook (Revenue, USD Million; 2022-2032)
  • Machine Learning
  • Deep Learning
  • Natural Language Processing (NLP)
  • Computer Vision

• Vehicle Type Outlook (Revenue, USD Million; 2022-2032)
  • Passenger Vehicles
  • Commercial Vehicles
    • Light Commercial Vehicles (LCVs)
    • Heavy Commercial Vehicles (HCVs)

• Application Type (Revenue, USD Million; 2022-2032)
  • Advanced Driver Assistance Systems (ADAS)
  • Autonomous Driving
  • Infotainment Systems
  • Telematics
  • Voice & Gesture Recognition
  • Predictive Maintenance
  • Cybersecurity
  • Others

• Regional Outlook (Revenue, USD Million; 2022-2032)
  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • France
    • U.K.
    • Italy
    • Spain
    • Benelux
    • Nordic Countries
    • Rest of Europe
  • Asia Pacific
    • China
    • India
    • Japan
    • South Korea
    • Oceania
    • ASEAN Countries
    • Rest of APAC
  • Latin America
    • Brazil
    • Rest of LATAM
  • Middle East & Africa
    • GCC Countries
    • South Africa
    • Israel
    • Turkey
    • Rest of MEA

Frequently Asked Questions (FAQ) about the Automotive AI Chipset Market Report