• Cat-intel
  • MedIntelliX
  • Resources
  • About Us
  • Request Free Sample ×

    Kindly complete the form below to receive a free sample of this Report

    Leading companies partner with us for data-driven Insights

    clients tt-cursor
    Hero Background

    Artificial Intelligence in Automotive Market

    ID: MRFR/ICT/21980-HCR
    100 Pages
    Aarti Dhapte
    October 2025

    Artificial Intelligence in Automotive Market Research Report: By Application (Autonomous Driving, Advanced Driver Assistance Systems (ADAS), Vehicle Diagnostics, Connected Car Services, Fleet Management), By Technology (Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Robotics), By Vehicle Type (Passenger Cars, Commercial Vehicles, Two-Wheelers, Special Purpose Vehicles) By Regional (North America, Europe, South America, Asia-Pacific, Middle East and Africa) - Forecast to 2035

    Share:
    Download PDF ×

    We do not share your information with anyone. However, we may send you emails based on your report interest from time to time. You may contact us at any time to opt-out.

    Artificial Intelligence in Automotive Market Infographic
    Purchase Options

    Artificial Intelligence in Automotive Market Summary

    The Global Artificial Intelligence in Automotive Market is projected to grow from 21.61 USD Billion in 2024 to 327.96 USD Billion by 2035.

    Key Market Trends & Highlights

    Artificial Intelligence in Automotive Key Trends and Highlights

    • The market is expected to experience a compound annual growth rate (CAGR) of 28.5 percent from 2025 to 2035.
    • By 2035, the market valuation is anticipated to reach 329.2 USD Billion, indicating substantial growth potential.
    • in 2024, the market is valued at 21.61 USD Billion, reflecting the current investment landscape in AI technologies for automotive applications.
    • Growing adoption of AI technologies due to increasing demand for autonomous vehicles is a major market driver.

    Market Size & Forecast

    2024 Market Size 21.61 (USD Billion)
    2035 Market Size 327.96 (USD Billion)
    CAGR (2025-2035) 28.05%

    Major Players

    Continental, Daimler, BMW, NVIDIA, Qualcomm, GM, Ford, Baidu, Tesla, HERE, Intel, Audi, Waymo, Volkswagen, Toyota

    Artificial Intelligence in Automotive Market Trends

    Artificial Intelligence in the Automotive Market is rapidly evolving and is driven by advancements in computing power and the availability of vast amounts of data. Key market drivers include the need for improved safety, increased efficiency, and enhanced user experience.

    Opportunities exist in the development of autonomous driving systems, predictive maintenance, and personalized navigation services.

    Trends in recent times include the growing adoption of cloud-based AI platforms, the integration of AI with other automotive technologies, and the emergence of new AI-enabled business models.

    As the market continues to mature, it is expected to see increased investment in R, the development of new AI applications, and the creation of a more robust ecosystem of players.

    Figure 1: Artificial Intelligence in Automotive Market Size, 2025-2034 (USD Billion)

    Source: Primary Research, Secondary Research, Market Research Future Database and Analyst Review

    The integration of artificial intelligence in the automotive sector is poised to revolutionize vehicle safety and efficiency, enhancing the driving experience while addressing critical environmental concerns.

    U.S. Department of Transportation

    Artificial Intelligence in Automotive Market Drivers

    Enhanced Safety Features

    Safety remains a paramount concern in the automotive sector, driving the integration of AI technologies. The Global Artificial Intelligence in Automotive Market Industry is witnessing significant advancements in safety features, such as collision avoidance systems and adaptive cruise control. These innovations leverage AI algorithms to analyze real-time data from various sensors, thereby reducing accident rates. For example, AI-driven systems can predict potential hazards and react faster than human drivers. This focus on safety not only enhances consumer confidence but also aligns with regulatory trends aimed at reducing road fatalities, further propelling market growth.

    Market Growth Projections

    The Global Artificial Intelligence in Automotive Market Industry is poised for remarkable growth, with projections indicating a market value of 20.9 USD Billion in 2024 and an anticipated surge to 329.2 USD Billion by 2035. This growth trajectory suggests a compound annual growth rate (CAGR) of 28.5% from 2025 to 2035. Such figures reflect the increasing adoption of AI technologies across various automotive applications, including autonomous driving, safety features, and connectivity solutions. The market's expansion is likely to be driven by ongoing technological advancements and evolving consumer expectations, positioning AI as a transformative force in the automotive industry.

    Rising Demand for Autonomous Vehicles

    The increasing consumer demand for autonomous vehicles is a primary driver of the Global Artificial Intelligence in Automotive Market Industry. As automakers invest heavily in AI technologies to enhance vehicle autonomy, the market is projected to reach 20.9 USD Billion in 2024. This demand is fueled by the desire for improved safety, convenience, and efficiency. For instance, companies like Tesla and Waymo are at the forefront, utilizing AI for advanced driver-assistance systems. The push towards fully autonomous vehicles is expected to accelerate growth, with projections indicating a market value of 329.2 USD Billion by 2035.

    Government Initiatives and Regulations

    Government initiatives promoting the adoption of AI in the automotive sector are crucial for the Global Artificial Intelligence in Automotive Market Industry. Various countries are implementing regulations that encourage the development of smart transportation systems. For instance, the European Union has set ambitious targets for reducing carbon emissions, which necessitates the integration of AI technologies for optimizing vehicle performance. These regulatory frameworks are expected to stimulate investment in AI solutions, thereby fostering innovation and enhancing market dynamics. As a result, the market is likely to experience robust growth, with a projected CAGR of 28.5% from 2025 to 2035.

    Growing Connectivity and IoT Integration

    The proliferation of connected vehicles and the Internet of Things (IoT) is significantly influencing the Global Artificial Intelligence in Automotive Market Industry. As vehicles become increasingly interconnected, AI technologies are essential for managing the vast amounts of data generated. This connectivity allows for real-time communication between vehicles and infrastructure, enhancing traffic management and improving overall efficiency. Companies are leveraging AI to develop smart navigation systems that adapt to changing road conditions. The integration of AI with IoT is expected to drive substantial growth, as consumers seek more intelligent and responsive automotive solutions.

    Consumer Preference for Personalized Experiences

    Consumer preferences are shifting towards personalized experiences in the automotive sector, driving the Global Artificial Intelligence in Automotive Market Industry. AI technologies enable automakers to offer tailored features, such as customized infotainment systems and adaptive driving modes. This personalization enhances user satisfaction and loyalty, as consumers increasingly expect vehicles to cater to their individual needs. Companies are utilizing AI to analyze consumer behavior and preferences, allowing for the development of innovative features that resonate with users. This trend is anticipated to contribute to the market's expansion, as personalization becomes a key differentiator in the competitive automotive landscape.

    Market Segment Insights

    Artificial Intelligence in Automotive Market Application Insights

    The application segment of the Global Artificial Intelligence in the Automotive Market holds significant potential for growth, driven by advancements in technology and increasing demand for autonomous vehicles. Autonomous Driving, a key application, is anticipated to witness substantial growth, with a market valuation projected to reach USD 60.5 billion by 2024.

    This growth is attributed to the rising adoption of self-driving cars, fueled by ongoing technological advancements and government initiatives. Advanced Driver Assistance Systems (ADAS) is another prominent application, expected to reach a market value of USD 35.2 billion by 2024.

    ADAS enhances vehicle safety and comfort, leading to increased consumer demand. Vehicle Diagnostics, valued at USD 12.8 billion in 2024, plays a crucial role in vehicle maintenance and repair, leveraging AI for efficient diagnostics and predictive analytics.

    Connected Car Services, estimated to reach USD 10.2 billion by 2024, enable seamless connectivity and access to various in-vehicle services, enhancing the driving experience.

    Fleet Management, valued at USD 8.5 billion in 2024, utilizes AI to optimize fleet operations, reducing costs and improving efficiency for businesses.

    Artificial Intelligence in Automotive Market Technology Insights

    Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, and Robotics are the five main technology categories in the Global Artificial Intelligence in the Automotive Market. The market for Machine Learning in the automotive industry reached USD 7.25 billion in 2023 and is anticipated to Register a CAGR of 29.5% to reach USD 32.41 billion by 2032.

    The largest market share is held by Deep Learning, which reached USD 45.23 billion by 2032, expanding at a CAGR of 27.8%. Computer Vision is predicted to Register a CAGR of 26.7% to reach USD 28.97 billion by 2032.

    Natural Language Processing is anticipated to reach USD 16.34 billion by 2032, expanding at a CAGR of 25.6%. The Robotics market is anticipated to reach USD 12.78 billion by 2032, growing at a CAGR of 24.9%.

    The rising need for sophisticated driver assistance systems, navigation systems, and infotainment systems is a major factor driving the growth of Artificial Intelligence in the Automotive Market. The expansion of the market is also fueled by the rising popularity of autonomous vehicles and the growing use of AI in automotive manufacturing processes.

    Artificial Intelligence in Automotive Market Vehicle Type Insights

    The Vehicle Type segment in the Artificial Intelligence in Automotive Market is classified into Passenger Cars, Commercial Vehicles, Two-Wheelers, and Special Purpose Vehicles. Among these segments, Passenger Cars held the largest market share in 2023.

    The increasing adoption of AI-powered features such as adaptive cruise control, lane-keeping assist, and automated parking systems in passenger cars is driving the growth of this segment. Commercial Vehicles are another significant segment, with AI-powered solutions being used for fleet management, predictive maintenance, and autonomous driving applications.

    The growing demand for efficient and safe commercial vehicles is expected to contribute to the growth of this segment. Two-wheelers are a rapidly growing segment, with AI being used for features such as rider assistance systems, anti-lock braking systems, and traction control.

    The increasing popularity of electric two-wheelers is also expected to drive the growth of this segment. Special Purpose Vehicles, which include vehicles such as military vehicles, construction vehicles, and agricultural vehicles, are a niche segment but are expected to witness growth due to the increasing adoption of AI for autonomous navigation and safety applications.

    Overall, the Vehicle Type segment in the Artificial Intelligence in Automotive Market is expected to grow significantly, driven by the increasing demand for AI-powered features and solutions in various types of vehicles.

    Artificial Intelligence in Automotive Market Deployment Model Insights

    The deployment model segment of the Artificial Intelligence in Automotive Market is segmented into cloud-based, on-premises, and hybrid. The cloud-based segment is expected to hold the largest market share in 2023 due to its scalability, flexibility, and cost-effectiveness.

    The on-premises segment is expected to grow at a faster CAGR during the forecast period due to the increasing need for data security and privacy. The hybrid segment is expected to gain traction in the coming years as it offers the benefits of both cloud-based and on-premises deployments.

    In 2023, the cloud-based segment secured approximately 60% of the Artificial Intelligence in Automotive Market revenue, while the on-premises segment is expected to account for around 30%.

    The hybrid segment is expected to account for the remaining 10% by 2032. The cloud-based segment is projected to account for over 70% of the market revenue, while the on-premises segment is expected to decline to around 20%.

    The hybrid segment is expected to grow steadily during the forecast period. The growth of the cloud-based segment is attributed to the increasing adoption of cloud computing by automotive manufacturers and suppliers.

    Artificial Intelligence in Automotive Market Revenue Model Insights

    The Artificial Intelligence in Automotive Market is segmented by Revenue Model into Subscription-Based, Per-Use, and Outright Purchase. Subscription-based accounted for the largest revenue share in 2023 and is projected to continue to dominate the market throughout the forecast period.

    The growth of this segment can be attributed to the increasing adoption of cloud-based AI solutions by automotive OEMs and Tier 1 suppliers. Per-Use revenue model is expected to witness the fastest growth during the forecast period, owing to the growing popularity of pay-as-you-go pricing models.

    The Outright Purchase revenue model is expected to account for a significant share of the overall market throughout the forecast period, due to the high upfront costs associated with AI solutions.

    Get more detailed insights about Artificial Intelligence in Automotive Market Research Report—Forecast till 2034

    Regional Insights

    The regional segmentation of the Global Artificial Intelligence in the Automotive Market offers insights into the geographic distribution of market growth. North America is expected to hold a significant market share, driven by factors such as the presence of leading automotive manufacturers and the early adoption of AI technologies in the region.

    Europe is another key market, with a growing focus on autonomous driving and vehicle safety. The APAC region is projected to witness substantial market growth due to rising automotive production and increasing investments in AI-based automotive solutions.

    South America and MEA are emerging markets with potential for growth as AI adoption gains momentum in these regions. The market growth in these regions is supported by government initiatives, increasing disposable income, and rising demand for advanced automotive technologies.

    Artificial Intelligence in Automotive Market Regional Insights

    Source: Primary Research, Secondary Research, Market Research Future Database and Analyst Review

    Key Players and Competitive Insights

    Major players in the Artificial Intelligence in Automotive Market are continuously investing in research and development, as well as strategic partnerships and acquisitions, to strengthen their position in the market.

    Artificial Intelligence in the Automotive Market is also characterized by the presence of several startups that are developing innovative solutions in the field. The Leading Artificial Intelligence in Automotive Market players are focusing on developing autonomous driving systems, advanced driver-assistance systems (ADAS), and other AI-powered technologies.

    Artificial Intelligence in Automotive Market development is being driven by the increasing demand for autonomous vehicles and the need to improve safety and efficiency in the automotive industry.

    One of the leading competitors in the Artificial Intelligence in Automotive Market is Tesla. Tesla is known for its electric vehicles and its advanced Autopilot driver assistance system, which uses AI to enable semi-autonomous driving.

    Tesla has also been investing heavily in developing fully autonomous driving technology and is expected to release a fully autonomous vehicle in the coming years.

    Another major competitor in the Artificial Intelligence in Automotive Market is Waymo. Waymo is a self-driving technology company that was founded by Google in 2009. Waymo has been developing self-driving technology for over a decade and is widely considered to be one of the leaders in the field.

    Waymo has partnered with several automakers, including Fiat Chrysler and Volvo, to test and deploy its self-driving technology.

    Key Companies in the Artificial Intelligence in Automotive Market market include

    Industry Developments

    • Q2 2024: Tesla launches new AI-powered driver-assistance software update Tesla announced a major software update for its Full Self-Driving (FSD) system, introducing enhanced AI algorithms for improved lane detection and obstacle avoidance, marking a significant step in the company's autonomous driving capabilities.
    • Q2 2024: Wayve raises $1.05B to build AI foundation models for self-driving cars UK-based autonomous driving startup Wayve secured $1.05 billion in Series C funding led by SoftBank, with participation from Nvidia and Microsoft, to accelerate the development of its AI foundation models for automotive autonomy.
    • Q2 2024: Volkswagen and Mobileye expand partnership for AI-based autonomous driving Volkswagen Group and Mobileye announced an expanded partnership to integrate Mobileye’s latest AI-powered autonomous driving technology into future Volkswagen vehicles, aiming for commercial deployment in Europe by 2026.
    • Q2 2024: GM opens new AI research center in Silicon Valley General Motors inaugurated a new research facility in Silicon Valley dedicated to advancing artificial intelligence for autonomous vehicles, focusing on machine learning, computer vision, and real-time data processing.
    • Q3 2024: Hyundai Motor Group acquires AI startup 42dot to boost autonomous tech Hyundai Motor Group completed the acquisition of South Korean AI mobility startup 42dot, aiming to strengthen its autonomous driving and smart mobility solutions through advanced AI integration.
    • Q3 2024: Nvidia unveils next-generation DRIVE Thor AI platform for automakers Nvidia launched its DRIVE Thor platform, a new AI supercomputer designed for automotive applications, offering enhanced processing power for autonomous driving, driver monitoring, and in-vehicle infotainment.
    • Q3 2024: Aptiv and Microsoft announce partnership to develop AI-powered mobility solutions Aptiv and Microsoft entered a strategic partnership to co-develop AI-driven software and cloud-based solutions for next-generation connected and autonomous vehicles.
    • Q4 2024: Toyota invests $300 million in AI chip startup for autonomous vehicles Toyota announced a $300 million investment in a Silicon Valley AI chip startup, aiming to accelerate the development of custom processors optimized for autonomous driving and advanced driver-assistance systems.
    • Q4 2024: Renault and Google deepen AI partnership for smart vehicle platforms Renault Group and Google expanded their collaboration to integrate Google’s AI and cloud technologies into Renault’s next-generation vehicle platforms, focusing on predictive maintenance and personalized in-car experiences.
    • Q1 2025: GM appoints new Chief AI Officer to lead autonomous vehicle strategy General Motors named a new Chief AI Officer to oversee the company’s artificial intelligence initiatives, with a focus on accelerating the deployment of AI in autonomous and connected vehicles.
    • Q1 2025: Bosch opens new AI-powered automotive software development center in Germany Bosch inaugurated a new software development center in Stuttgart, Germany, dedicated to creating AI-powered solutions for automotive safety, driver assistance, and autonomous driving.
    • Q2 2025: Mercedes-Benz secures regulatory approval for Level 3 autonomous driving system in China Mercedes-Benz received regulatory approval to deploy its Level 3 AI-powered autonomous driving system on select highways in China, marking a significant milestone for the company’s global autonomous vehicle ambitions.

    Future Outlook

    Artificial Intelligence in Automotive Market Future Outlook

    The Artificial Intelligence in Automotive Market is projected to grow at a 28.05% CAGR from 2025 to 2035, driven by advancements in autonomous driving, enhanced safety features, and increased demand for smart mobility solutions.

    New opportunities lie in:

    • Develop AI-driven predictive maintenance systems to reduce operational costs.
    • Invest in machine learning algorithms for real-time traffic management solutions.
    • Create partnerships with tech firms to enhance in-car AI user experiences.

    By 2035, the market is expected to be a cornerstone of automotive innovation and efficiency.

    Market Segmentation

    Artificial Intelligence in Automotive Market Regional Outlook

    • North America
    • Europe
    • South America
    • Asia-Pacific
    • Middle East and Africa

    Artificial Intelligence in Automotive Market Technology Outlook

    • Machine Learning
    • Deep Learning
    • Computer Vision
    • Natural Language Processing
    • Robotics

    Artificial Intelligence in Automotive Market Application Outlook

    • Autonomous Driving
    • Advanced Driver Assistance Systems (ADAS)
    • Vehicle Diagnostics
    • Connected Car Services
    • Fleet Management

    Artificial Intelligence in Automotive Market Vehicle Type Outlook

    • Passenger Cars
    • Commercial Vehicles
    • Two-Wheelers
    • Special Purpose Vehicles

    Artificial Intelligence in Automotive Market Revenue Model Outlook

    • Subscription-Based
    • Per-Use
    • Outright Purchase

    Artificial Intelligence in Automotive Market Deployment Model Outlook

    • Cloud-Based
    • On-Premises
    • Hybrid

    Report Scope

    Report Attribute/Metric Details
    Market Size 2024 21.60 (USD Billion)
    Market Size 2025 27.66 (USD Billion)
    Market Size 2035 327.96 (USD Billion)
    Compound Annual Growth Rate (CAGR) 28.05% (2025 - 2035)
    Report Coverage Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
    Base Year 2024
    Market Forecast Period 2025 - 2035
    Historical Data 2019 - 2023
    Market Forecast Units USD Billion
    Key Companies Profiled Continental, Daimler, BMW, NVIDIA, Qualcomm, GM, Ford, Baidu, Tesla, HERE, Intel, Audi, Waymo, Volkswagen, Toyota
    Segments Covered Application, Technology, Vehicle Type, Deployment Model, Revenue Model, Regional
    Key Market Opportunities ADAS System Optimization Smart Vehicle Technologies Predictive Vehicle Maintenance Autonomous Vehicle Development Cloud-based Automotive AI Solutions
    Key Market Dynamics Automated driving and ADAS Increasing vehicle connectivity Growing demand for personalization Data security and privacy concerns Government regulations
    Countries Covered North America, Europe, APAC, South America, MEA

    FAQs

    What is the market size of the Artificial Intelligence in Automotive Market?

    The Artificial Intelligence in Automotive Market was valued at USD 21.60 billion in 2024 and is expected to reach USD 256.11 billion by 2034, exhibiting a CAGR of 28.05% during the forecast period.

    Which region is expected to hold the largest market share in the global artificial intelligence market in the automotive market?

    North America is expected to hold the largest market share in the Artificial Intelligence in Automotive Market due to the presence of major automotive manufacturers and early adoption of advanced technologies.

    What are the key applications of Artificial Intelligence in the Automotive Industry?

    Artificial Intelligence is used in a wide range of automotive applications, including autonomous driving, advanced driver-assistance systems (ADAS), predictive maintenance, and infotainment systems.

    Who are the key competitors in Global Artificial Intelligence in the Automotive Market?

    Key competitors in the Artificial Intelligence in Automotive Market include NVIDIA, Tesla, Alphabet, Qualcomm, and Autoliv.

    What are the key trends driving the growth of the Global Artificial Intelligence in the Automotive Market?

    The growth of the Artificial Intelligence in Automotive Market is driven by factors such as increasing demand for autonomous vehicles, rising adoption of ADAS, and growing focus on improving vehicle safety and efficiency.

    What are the challenges faced by the Artificial Intelligence in Automotive Market?

    Challenges faced by Artificial Intelligence in the Automotive Market include technical complexity, regulatory hurdles, and concerns over data privacy and security.

    What is the expected growth rate of the Global Artificial Intelligence in the Automotive Market?

    The Artificial Intelligence in Automotive Market is expected to Register a CAGR of 28.05% from 2024 to 2032.

    What are the key factors influencing the adoption of Artificial Intelligence in the Automotive Industry?

    Key factors influencing the adoption of Artificial Intelligence in the Automotive Industry include increasing safety concerns, rising demand for autonomous vehicles, and growing focus on improving vehicle efficiency.

    What are the opportunities for growth in the Artificial Intelligence in Automotive Market?

    Opportunities for growth in the Artificial Intelligence in Automotive Market include expanding applications in autonomous driving, increasing adoption of ADAS, and growing focus on improving vehicle safety and efficiency.

    What are the potential risks associated with the adoption of Artificial Intelligence in the Automotive Industry?

    Potential risks associated with the adoption of Artificial Intelligence in the Automotive Industry include technical complexity, regulatory hurdles, and concerns over data privacy and security.

    Download Free Sample

    Kindly complete the form below to receive a free sample of this Report

    Case Study
    Chemicals and Materials