The artificial intelligence in automotive market size is expected to see exponential growth in the next few years. It will grow to $149.04 billion in 2030 at a compound annual growth rate (CAGR) of 53.3%. The growth in the forecast period can be attributed to fully autonomous vehicle development, ai chip advancements, electric vehicle growth, smart mobility ecosystems, real-time vehicle analytics. Major trends in the forecast period include expansion of adas and autonomous features, integration of ai in vehicle manufacturing, growth of AI-based driver assistance, adoption of v2x communication, use of ai for predictive maintenance.
The growing demand for autonomous vehicles is expected to drive the growth of the artificial intelligence (AI) in automotive market. Autonomous vehicles are capable of sensing their environment, making decisions, and performing driving functions without human intervention. AI technologies enable these vehicles to interpret sensor data, control navigation, and ensure safe driving. For instance, in December 2024, the National Association of Insurance Commissioners projected that 4.5 million self-driving vehicles will be on U.S. roads by 2030. Consequently, the rising need for autonomous vehicles is fueling AI adoption in the automotive sector.
Leading companies in the automotive AI market are investing in the development of advanced AI-driven digital solutions to elevate vehicle safety, enrich the driving experience, and support autonomous driving capabilities. AI-based digital products in this sector incorporate artificial intelligence to deliver intelligent, automated, and personalized features within vehicles, enhancing both functionality and user experience. For example, in February 2024, Volkswagen Group, the German automotive giant, launched an in-house AI lab dedicated to designing and incubating AI-powered digital products, such as vehicle infotainment and navigation systems. Through this initiative, Volkswagen aims to enhance its product lineup by integrating AI technologies that offer increased value through features like advanced infotainment, predictive maintenance, navigation enhancements, and voice recognition capabilities. Additionally, the AI lab seeks to create a connected digital ecosystem that seamlessly integrates Volkswagen's vehicles with external technology platforms, positioning the company at the forefront of automotive innovation and smart mobility.
In August 2023, Tech Mahindra, an information technology services and consulting company based in India, established a partnership with Anyverse. The collaborative effort is geared towards expediting AI adoption in the automotive industry by simplifying the use of synthetic data for training, testing, and validating AI systems. Anyverse, a Spain-based hyperspectral synthetic data generation platform, specializes in accelerating the development of computer vision-based solutions for autonomous applications.
Major companies operating in the artificial intelligence in automotive market report include Alphabet Inc., Toyota Motor Corporation, Microsoft Corporation, Ford Motor Company, General Motors Company, Bayerische Motoren Werke AG, Honda Motor Co. Ltd., Tencent Holdings Ltd., Tesla Inc., Intel Corporation, The International Business Machines Corporation (IBM), Audi AG, Volvo Cars, AB Volvo, Qualcomm Technologies Inc., The Mercedes-Benz Group AG, Mitsubishi Electric, Uber Technologies Inc., Micron Technology Inc., NVIDIA Corporation, Harman International Industries Inc., Waymo LLC, Xilinx Inc., Argo AI, Cognata ltd.
North America was the largest region in the artificial intelligence in automotive market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence in automotive market report include Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence in automotive market report include Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The artificial intelligence in automotive market consists of revenues earned by entities by providing services such as autonomous driving systems, connected car services, predictive maintenance, customer service and support, cybersecurity solutions, and smart parking solutions. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence in automotive market includes sales of cameras, LiDAR, ultrasonic sensors, and radars. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 1-3 business days.
Table of Contents
Executive Summary
Artificial Intelligence in Automotive Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses artificial intelligence in automotive market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Reasons to Purchase::
- Gain a truly global perspective with the most comprehensive report available on this market covering 16 geographies.
- Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, inflation and interest rate fluctuations, and evolving regulatory landscapes.
- Create regional and country strategies on the basis of local data and analysis.
- Identify growth segments for investment.
- Outperform competitors using forecast data and the drivers and trends shaping the market.
- Understand customers based on end user analysis.
- Benchmark performance against key competitors based on market share, innovation, and brand strength.
- Evaluate the total addressable market (TAM) and market attractiveness scoring to measure market potential.
- Suitable for supporting your internal and external presentations with reliable high-quality data and analysis
- Report will be updated with the latest data and delivered to you along with an Excel data sheet for easy data extraction and analysis.
- All data from the report will also be delivered in an excel dashboard format.
Description
Where is the largest and fastest growing market for artificial intelligence in automotive? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence in automotive market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Component: Hardware; Software; Services2) By Process: Data Mining; Image or Signal Recognition
3) By Technology: Computer Vision; Context Awareness; Deep Learning; Machine Learning; Natural Language Processing (NLP)
4) By Application: Semi-Autonomous vehicles; Fully-Autonomous Vehicles
Subsegments:
1) By Hardware: AI Chips and Processors; Sensors; Embedded Systems2) By Software: Advanced Driver-Assistance Systems (ADAS); Autonomous Driving Software; Vehicle-to-Everything (V2X) Communication Software
3) By Services: Consulting and Integration Services; Maintenance and Support Services; Data Management and Analytics Services
Companies Mentioned: Alphabet Inc.; Toyota Motor Corporation; Microsoft Corporation; Ford Motor Company; General Motors Company; Bayerische Motoren Werke AG; Honda Motor Co. Ltd.; Tencent Holdings Ltd.; Tesla Inc.; Intel Corporation; the International Business Machines Corporation (IBM); Audi AG; Volvo Cars; AB Volvo; Qualcomm Technologies Inc.; the Mercedes-Benz Group AG; Mitsubishi Electric; Uber Technologies Inc.; Micron Technology Inc.; NVIDIA Corporation; Harman International Industries Inc.; Waymo LLC; Xilinx Inc.; Argo AI; Cognata ltd
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this Artificial Intelligence in Automotive market report include:- Alphabet Inc.
- Toyota Motor Corporation
- Microsoft Corporation
- Ford Motor Company
- General Motors Company
- Bayerische Motoren Werke AG
- Honda Motor Co. Ltd.
- Tencent Holdings Ltd.
- Tesla Inc.
- Intel Corporation
- The International Business Machines Corporation (IBM)
- Audi AG
- Volvo Cars
- AB Volvo
- Qualcomm Technologies Inc.
- The Mercedes-Benz Group AG
- Mitsubishi Electric
- Uber Technologies Inc.
- Micron Technology Inc.
- NVIDIA Corporation
- Harman International Industries Inc.
- Waymo LLC
- Xilinx Inc.
- Argo AI
- Cognata ltd
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | January 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 26.98 Billion |
| Forecasted Market Value ( USD | $ 149.04 Billion |
| Compound Annual Growth Rate | 53.3% |
| Regions Covered | Global |
| No. of Companies Mentioned | 26 |

