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Automotive Artificial Intelligence Market by Component (Hardware, Software, Services), by Technology (Machine Learning and Deep Learning, Computer Vision, Natural Language Processing, Others), by Application (Semi-Autonomous, Autonomous): Global Opportunity Analysis and Industry Forecast, 2023-2032

A04284

Pages: 233

Charts: 49

Tables: 150

Automotive Artificial Intelligence Market Research, 2032

The global automotive artificial intelligence market size was valued at $13.8 billion in 2022, and is projected to reach $405.3 billion by 2032, growing at a CAGR of 40.7% from 2023 to 2032.

Report Key Highlighters:

  • The automotive artificial intelligence market forecast covers 14 countries. The research includes regional and segment analysis of each country in terms of value ($billion) for the projected period 2023-2032.
  • The study integrated high-quality data, professional opinions & analysis, and critical independent perspectives. The research approach is intended to provide a balanced view of global markets and to assist stakeholders in making educated decisions in order to achieve their most ambitious growth objectives.
  • Over 3,700 product literature, annual reports, industry statements, and other comparable materials from major industry participants were reviewed to gain a better understanding of the market.
  • The key players in the automotive artificial intelligence market share are Nvidia Corporation, Alphabet Inc., Intel Corporation, IBM, Microsoft Corporation, BMW AG, Uber Technologies, Inc., Tesla, Inc., Toyota Motor Corporation and AB Volvo. The companies have adopted strategies such as product launches, contracts, expansions, and agreements to improve their market positioning.

Automotive artificial intelligence refers to the implementation of AI technology in vehicles to increase several aspects of the automobile system, including efficiency, safety, convenience, and to improve the overall vehicle driving experience. The automotive industry has witnessed the potential of AI and is among the major industries utilizing AI technologies to augment and mimic human actions. Furthermore, with the emergence of modern automobile functions such as advanced driver assistance system (ADAS), adaptive cruise control (ACC), blind spot alert, autonomous driving, predictive maintenance, intelligent traffic management, and growth in demand for convenience features attract automotive manufacturers toward implementation of AI in automobiles.

The expansion of automotive artificial intelligence market is driven by increase in demand for autonomous vehicles, growth in high-speed internet & 5G technology, and rise in demand for enhanced user experience & convenient features. However, rise in security and privacy concerns and stringent regulatory landscape are anticipated to hinder the market growth. Furthermore, increase in demand for premium vehicles and growth in connected vehicle technology are anticipated to provide lucrative growth opportunity for the market during the forecast period.

In recent years, autonomous vehicles have gained popularity due to various features such as automatic parking, self-driving, autopilot, and others features. Autonomous vehicles minimize human effort while driving. Furthermore, global companies such as Nvidia Corporation, Intel Corporation, and Tesla, Inc., have been investing more in the development of autonomous vehicle technology in recent years.

For instance, on December 16, 2021, Intel Corporation, subsidiary of Mobileye Global Inc., announced they have acquired testing permit for their autonomous driving taxi in Paris. Mobileye Global Inc. collaborated with RATP Group, the world’s third largest public transportation operator company. The company is expected to use Mobile AV test vehicles, which transport two passengers at a time. The collaboration is expected to provide a crucial testing ground to create autonomous driving services that are secure, convenient, and can be implemented globally.

Similarly, Tesla, Inc. autopilot system has features such as keeping the vehicle within a lane while driving, auto changing the lanes whenever required and self-parking, which is one of the most advanced systems available in the market. Moreover, autonomous vehicles are anticipated to reduce human intervention and are of vital importance in industries that have a shortage of manpower especially in the transportation and logistics industry. This, in turn, is expected to drive the growth of the automotive artificial intelligence market.

Key Developments

The leading companies have adopted strategies such as acquisition, agreement, expansion, partnership, contracts, and product launch to strengthen their market position.

  • On January 8, 2024, Nvidia Corporation announced its NVDIA DRIVE Thor platform, a centralized car computer platform for the next generation of automobiles. The new platform is integrated with a wide range of intelligent functions in a single AI computer platform and offers AI cockpit functionality, driver & passenger monitoring, and autonomous driving and parking capabilities. The new platform is used by major EV manufacturers, including Great Wall Motor, Zeekr, Xiaomi EV, and others.
  • On January 24, 2024, Alphabet Inc. announced an update for its Android Auto system. The new update is expected to include AI features with the aim of reducing screen time while driving and is projected to majorly focus on reducing driver distraction. The new update is anticipated to include a voice recognition system, and the majority of the system is controlled via voice recognition. The system also navigates to shared locations with a single tap, without having to manually enter that location into Google Maps.
  • On January 9, 2024, Intel Corporation announced they are working on developing the latest AI-enabled chips, especially for the automobile industry. The company is also looking toward acquisition of Silicon Mobility SAS, specializing in software and system-on-a-chip technologies for Electric Vehicle motors and onboard charging systems.
  • On February 16, 2022, Nvidia Corporation announced its strategic partnership with Jaguar Land Rover, to develop and deliver the next generation of automated driving systems as well as AI-enabled services and experiences. According to the agreement, all vehicles from 2025 are expected to be built on NVIDIA DRIVE software platform, a centralized platform for safety, security and networking systems. The new system is expected to deliver automated driving & parking systems, driving assistance, and driver & occupant monitoring, as well as advanced visualization of the vehicle’s environment.

Segmental Analysis

The automotive artificial intelligence market is segmented on the basis of component, technology, application, and region. By component, the global market is divided into hardware, software, and services. On the basis of technology, the automotive artificial intelligence industry has been segregated into machine learning & deep learning, computer vision, natural language processing, and others. On the basis of application, the market is classified into semi-autonomous and autonomous. By region, the market is analyzed across North America, Europe, Asia-Pacific and Latin America and Middle East and Africa.

By Component

On the basis of component, the automobile artificial intelligence market has been segregated into hardware, software, and services. The hardware segment accounted for the largest market share in 2022. The hardware segment is one of the most crucial for the automotive artificial intelligence industry, and it is the basic requirement to implement artificial intelligence technology in automobiles. However, the software segment is anticipated to witness the strongest growth rate due to increasing use of AI powered software in various applications of automobile such as speech recognition, image recognition, data analysis, and motion detection.

[COMPONENTGRAPH]

By Technology

By technology, the automobile AI market is classified into machine learning & deep learning, computer vision, natural language processing, and others. The machine learning & deep learning segment accounted for the largest market share in 2022, owing to the increased use of machine learning and deep learning in the development of autonomous vehicles; this technology is used to discover relevant patterns in data and further analyze and make decisions and predictions. However, the natural language processing segment is anticipated to witness the highest growth rate due to increased use of this technology in extracting meanings and generating human-readable text from the data moreover, there has been increasing use of the technology in voice and speech recognition to convert data in human-readable formats.

[TECHNOLOGYGRAPH]

By Application

On the basis of the application, the automotive AI market has been bifurcated into semi-autonomous and autonomous segments. The semi-autonomous segment accounted for the largest market share in 2022 due to cost-effective nature of semi-autonomous vehicles, making them a more affordable option for manufacturers and consumers. However, the autonomous segment is anticipated to register the highest growth rate due to an increase in technological advancement and rise in R&D initiatives for the development of autonomous vehicle technology. In addition, autonomous vehicles reduce the potential of human error and make them safer and more efficient.

[APPLICATIONGRAPH]

By Region 

On the basis of region, the automotive artificial intelligence market growth has been analyzed across North America, Europe, Asia-Pacific, Latin America and Middle East and Africa. North America accounted for the largest market share in 2022, owing to increase in presence of AI system developers in the region. Furthermore, the region has witnessed an increase in demand for artificial intelligence in automobiles, surge in the level of vehicle automation, availability of high-end infrastructure, and the emergence of Internet of Things (IoT) technology. The North American region has witnessed a rise in investments by automobile manufacturers and government initiatives toward promotion and the development of automotive artificial intelligence technology. However, the Asia-Pacific region is anticipated to witness the fastest growth rate during the forecast period, owing to the rise in the adoption of artificial intelligence solutions by major automobile manufacturers. Furthermore, there is an increasing inclination of automakers towards self-driving vehicles, lower fuel emissions, and minimizing the chances of road fatalities, which are expected to enhance the market growth potential.

[REGIONGRAPH]

Market Dynamics

Growth in High-Speed Internet and 5G Technology

Automotive artificial intelligence relies on high-speed internet service for real-time information sharing related to driver alertness, traffic conditions, weather conditions, and others. The development in high-speed internet and communication technologies are anticipated to be a major driving factor for the growth of artificial intelligence in the automobile market.

For instance, according to statistics from Invest India, a National Investment Promotion and Facilitation Agency of India, set up by the Government of India and the Ministry of Commerce and Industry, outlines that India's telecom industry is the second largest in the world and as of September 2022, the internet subscriber base in the county accounted for 1.17 billion users. The growth of telecom industry in the country saw exponential growth in recent years due to rollout of 3G, 4G networks, affordable tariffs, and supportive government initiatives. Moreover, in 2022, the government announced the auction of IMT/5G spectrum, which is further expected to boost the telecom industry in the country. Many other countries, especially in developing regions of southeast Asia, Latin America, and the Middle East region, promote high-speed internet and the telecom industry. Thus, the penetration of high-speed internet is expected to be the crucial driving factor for the automotive artificial intelligence market size.

Stringent Regulatory Landscape

Government agencies look after the use of artificial intelligence technology in automobiles, such as the National Highway Traffic Safety Administration (NHTSA) and the European Union Agency for Cybersecurity (EUAC). Moreover, there has been a growth in regulatory challenges toward the use of AI in automobiles due to ethical and safety concerns.

For instance, in June 2023, NHTSA issued guidelines to assess whether manufacturers of prototype vehicles and equipment manufacturers, are fulfilling legal requirements to ensure that their products meet the regulatory standards which can otherwise results in the safety of motor vehicles and passengers. The amendment looks after examining the decisions made by software algorithms that analyze data inputs in real-time to determine the appropriate vehicle response and movement.

Key Benefits For Stakeholders

  • This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the automotive artificial intelligence market analysis from 2022 to 2032 to identify the prevailing automotive AI market opportunities.
  • The market research is offered along with information related to key drivers, restraints, and opportunities.
  • Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
  • In-depth analysis of the market segmentation assists to determine the prevailing market opportunities.
  • Major countries in each region are mapped according to their revenue contribution to the global market.
  • Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
  • The report includes the analysis of the regional as well as global automotive artificial intelligence market trends, key players, market segments, application areas, and market growth strategies.

Key Market Segments

  • By Component
    • Hardware
    • Software
    • Services
  • By Technology
    • Machine Learning and Deep Learning
    • Computer Vision
    • Natural Language Processing
    • Others
  • By Application
    • Semi-Autonomous
    • Autonomous
  • By Region
    • North America
      • U.S.
      • Canada
      • Mexico
    • Europe
      • Germany
      • France
      • UK
      • Spain
      • Rest of Europe
    • Asia-Pacific
      • China
      • India
      • Japan
      • South Korea
      • Rest of Asia-Pacific
    • Latin America
      • Brazil
      • Argentina
      • Rest of Latin America
    • Middle East and Africa
      • Gcc Countries
      • South Africa
      • Rest of Middle East And Africa


Key Market Players

  • Toyota Motor Corporation
  • Intel Corporation
  • Tesla, Inc.
  • Uber Technologies, Inc
  • Nvidia Corporation
  • Microsoft Corporation
  • BMW AG
  • AB Volvo
  • Alphabet Inc
  • IBM
  • CHAPTER 1: INTRODUCTION

    • 1.1. Report description

    • 1.2. Key market segments

    • 1.3. Key benefits to the stakeholders

    • 1.4. Research methodology

      • 1.4.1. Primary research

      • 1.4.2. Secondary research

      • 1.4.3. Analyst tools and models

  • CHAPTER 2: EXECUTIVE SUMMARY

    • 2.1. CXO perspective

  • CHAPTER 3: MARKET OVERVIEW

    • 3.1. Market definition and scope

    • 3.2. Key findings

      • 3.2.1. Top impacting factors

      • 3.2.2. Top investment pockets

    • 3.3. Porter’s five forces analysis

    • 3.4. Market dynamics

      • 3.4.1. Drivers

      • 3.4.2. Restraints

      • 3.4.3. Opportunities

  • CHAPTER 4: AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT

    • 4.1. Overview

      • 4.1.1. Market size and forecast

    • 4.2. Hardware

      • 4.2.1. Key market trends, growth factors and opportunities

      • 4.2.2. Market size and forecast, by region

      • 4.2.3. Market share analysis by country

    • 4.3. Software

      • 4.3.1. Key market trends, growth factors and opportunities

      • 4.3.2. Market size and forecast, by region

      • 4.3.3. Market share analysis by country

    • 4.4. Services

      • 4.4.1. Key market trends, growth factors and opportunities

      • 4.4.2. Market size and forecast, by region

      • 4.4.3. Market share analysis by country

  • CHAPTER 5: AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY

    • 5.1. Overview

      • 5.1.1. Market size and forecast

    • 5.2. Machine Learning and Deep Learning

      • 5.2.1. Key market trends, growth factors and opportunities

      • 5.2.2. Market size and forecast, by region

      • 5.2.3. Market share analysis by country

    • 5.3. Computer Vision

      • 5.3.1. Key market trends, growth factors and opportunities

      • 5.3.2. Market size and forecast, by region

      • 5.3.3. Market share analysis by country

    • 5.4. Natural Language Processing

      • 5.4.1. Key market trends, growth factors and opportunities

      • 5.4.2. Market size and forecast, by region

      • 5.4.3. Market share analysis by country

    • 5.5. Others

      • 5.5.1. Key market trends, growth factors and opportunities

      • 5.5.2. Market size and forecast, by region

      • 5.5.3. Market share analysis by country

  • CHAPTER 6: AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION

    • 6.1. Overview

      • 6.1.1. Market size and forecast

    • 6.2. Semi-Autonomous

      • 6.2.1. Key market trends, growth factors and opportunities

      • 6.2.2. Market size and forecast, by region

      • 6.2.3. Market share analysis by country

    • 6.3. Autonomous

      • 6.3.1. Key market trends, growth factors and opportunities

      • 6.3.2. Market size and forecast, by region

      • 6.3.3. Market share analysis by country

  • CHAPTER 7: AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY REGION

    • 7.1. Overview

      • 7.1.1. Market size and forecast By Region

    • 7.2. North America

      • 7.2.1. Key market trends, growth factors and opportunities

      • 7.2.2. Market size and forecast, by Component

      • 7.2.3. Market size and forecast, by Technology

      • 7.2.4. Market size and forecast, by Application

      • 7.2.5. Market size and forecast, by country

        • 7.2.5.1. U.S.
          • 7.2.5.1.1. Market size and forecast, by Component
          • 7.2.5.1.2. Market size and forecast, by Technology
          • 7.2.5.1.3. Market size and forecast, by Application
        • 7.2.5.2. Canada
          • 7.2.5.2.1. Market size and forecast, by Component
          • 7.2.5.2.2. Market size and forecast, by Technology
          • 7.2.5.2.3. Market size and forecast, by Application
        • 7.2.5.3. Mexico
          • 7.2.5.3.1. Market size and forecast, by Component
          • 7.2.5.3.2. Market size and forecast, by Technology
          • 7.2.5.3.3. Market size and forecast, by Application
    • 7.3. Europe

      • 7.3.1. Key market trends, growth factors and opportunities

      • 7.3.2. Market size and forecast, by Component

      • 7.3.3. Market size and forecast, by Technology

      • 7.3.4. Market size and forecast, by Application

      • 7.3.5. Market size and forecast, by country

        • 7.3.5.1. Germany
          • 7.3.5.1.1. Market size and forecast, by Component
          • 7.3.5.1.2. Market size and forecast, by Technology
          • 7.3.5.1.3. Market size and forecast, by Application
        • 7.3.5.2. France
          • 7.3.5.2.1. Market size and forecast, by Component
          • 7.3.5.2.2. Market size and forecast, by Technology
          • 7.3.5.2.3. Market size and forecast, by Application
        • 7.3.5.3. UK
          • 7.3.5.3.1. Market size and forecast, by Component
          • 7.3.5.3.2. Market size and forecast, by Technology
          • 7.3.5.3.3. Market size and forecast, by Application
        • 7.3.5.4. Spain
          • 7.3.5.4.1. Market size and forecast, by Component
          • 7.3.5.4.2. Market size and forecast, by Technology
          • 7.3.5.4.3. Market size and forecast, by Application
        • 7.3.5.5. Rest of Europe
          • 7.3.5.5.1. Market size and forecast, by Component
          • 7.3.5.5.2. Market size and forecast, by Technology
          • 7.3.5.5.3. Market size and forecast, by Application
    • 7.4. Asia-Pacific

      • 7.4.1. Key market trends, growth factors and opportunities

      • 7.4.2. Market size and forecast, by Component

      • 7.4.3. Market size and forecast, by Technology

      • 7.4.4. Market size and forecast, by Application

      • 7.4.5. Market size and forecast, by country

        • 7.4.5.1. China
          • 7.4.5.1.1. Market size and forecast, by Component
          • 7.4.5.1.2. Market size and forecast, by Technology
          • 7.4.5.1.3. Market size and forecast, by Application
        • 7.4.5.2. India
          • 7.4.5.2.1. Market size and forecast, by Component
          • 7.4.5.2.2. Market size and forecast, by Technology
          • 7.4.5.2.3. Market size and forecast, by Application
        • 7.4.5.3. Japan
          • 7.4.5.3.1. Market size and forecast, by Component
          • 7.4.5.3.2. Market size and forecast, by Technology
          • 7.4.5.3.3. Market size and forecast, by Application
        • 7.4.5.4. South Korea
          • 7.4.5.4.1. Market size and forecast, by Component
          • 7.4.5.4.2. Market size and forecast, by Technology
          • 7.4.5.4.3. Market size and forecast, by Application
        • 7.4.5.5. Rest of Asia-Pacific
          • 7.4.5.5.1. Market size and forecast, by Component
          • 7.4.5.5.2. Market size and forecast, by Technology
          • 7.4.5.5.3. Market size and forecast, by Application
    • 7.5. Latin America

      • 7.5.1. Key market trends, growth factors and opportunities

      • 7.5.2. Market size and forecast, by Component

      • 7.5.3. Market size and forecast, by Technology

      • 7.5.4. Market size and forecast, by Application

      • 7.5.5. Market size and forecast, by country

        • 7.5.5.1. Brazil
          • 7.5.5.1.1. Market size and forecast, by Component
          • 7.5.5.1.2. Market size and forecast, by Technology
          • 7.5.5.1.3. Market size and forecast, by Application
        • 7.5.5.2. Argentina
          • 7.5.5.2.1. Market size and forecast, by Component
          • 7.5.5.2.2. Market size and forecast, by Technology
          • 7.5.5.2.3. Market size and forecast, by Application
        • 7.5.5.3. Rest of Latin America
          • 7.5.5.3.1. Market size and forecast, by Component
          • 7.5.5.3.2. Market size and forecast, by Technology
          • 7.5.5.3.3. Market size and forecast, by Application
    • 7.6. Middle East and Africa

      • 7.6.1. Key market trends, growth factors and opportunities

      • 7.6.2. Market size and forecast, by Component

      • 7.6.3. Market size and forecast, by Technology

      • 7.6.4. Market size and forecast, by Application

      • 7.6.5. Market size and forecast, by country

        • 7.6.5.1. Gcc Countries
          • 7.6.5.1.1. Market size and forecast, by Component
          • 7.6.5.1.2. Market size and forecast, by Technology
          • 7.6.5.1.3. Market size and forecast, by Application
        • 7.6.5.2. South Africa
          • 7.6.5.2.1. Market size and forecast, by Component
          • 7.6.5.2.2. Market size and forecast, by Technology
          • 7.6.5.2.3. Market size and forecast, by Application
        • 7.6.5.3. Rest of Middle East And Africa
          • 7.6.5.3.1. Market size and forecast, by Component
          • 7.6.5.3.2. Market size and forecast, by Technology
          • 7.6.5.3.3. Market size and forecast, by Application
  • CHAPTER 8: COMPETITIVE LANDSCAPE

    • 8.1. Introduction

    • 8.2. Top winning strategies

    • 8.3. Product mapping of top 10 player

    • 8.4. Competitive dashboard

    • 8.5. Competitive heatmap

    • 8.6. Top player positioning, 2022

  • CHAPTER 9: COMPANY PROFILES

    • 9.1. Nvidia Corporation

      • 9.1.1. Company overview

      • 9.1.2. Key executives

      • 9.1.3. Company snapshot

      • 9.1.4. Operating business segments

      • 9.1.5. Product portfolio

      • 9.1.6. Business performance

      • 9.1.7. Key strategic moves and developments

    • 9.2. Alphabet Inc

      • 9.2.1. Company overview

      • 9.2.2. Key executives

      • 9.2.3. Company snapshot

      • 9.2.4. Operating business segments

      • 9.2.5. Product portfolio

      • 9.2.6. Business performance

      • 9.2.7. Key strategic moves and developments

    • 9.3. Intel Corporation

      • 9.3.1. Company overview

      • 9.3.2. Key executives

      • 9.3.3. Company snapshot

      • 9.3.4. Operating business segments

      • 9.3.5. Product portfolio

      • 9.3.6. Business performance

      • 9.3.7. Key strategic moves and developments

    • 9.4. IBM

      • 9.4.1. Company overview

      • 9.4.2. Key executives

      • 9.4.3. Company snapshot

      • 9.4.4. Operating business segments

      • 9.4.5. Product portfolio

      • 9.4.6. Business performance

      • 9.4.7. Key strategic moves and developments

    • 9.5. Microsoft Corporation

      • 9.5.1. Company overview

      • 9.5.2. Key executives

      • 9.5.3. Company snapshot

      • 9.5.4. Operating business segments

      • 9.5.5. Product portfolio

      • 9.5.6. Business performance

      • 9.5.7. Key strategic moves and developments

    • 9.6. BMW AG

      • 9.6.1. Company overview

      • 9.6.2. Key executives

      • 9.6.3. Company snapshot

      • 9.6.4. Operating business segments

      • 9.6.5. Product portfolio

      • 9.6.6. Business performance

      • 9.6.7. Key strategic moves and developments

    • 9.7. Uber Technologies, Inc

      • 9.7.1. Company overview

      • 9.7.2. Key executives

      • 9.7.3. Company snapshot

      • 9.7.4. Operating business segments

      • 9.7.5. Product portfolio

      • 9.7.6. Business performance

      • 9.7.7. Key strategic moves and developments

    • 9.8. Tesla, Inc.

      • 9.8.1. Company overview

      • 9.8.2. Key executives

      • 9.8.3. Company snapshot

      • 9.8.4. Operating business segments

      • 9.8.5. Product portfolio

      • 9.8.6. Business performance

      • 9.8.7. Key strategic moves and developments

    • 9.9. Toyota Motor Corporation

      • 9.9.1. Company overview

      • 9.9.2. Key executives

      • 9.9.3. Company snapshot

      • 9.9.4. Operating business segments

      • 9.9.5. Product portfolio

      • 9.9.6. Business performance

      • 9.9.7. Key strategic moves and developments

    • 9.10. AB Volvo

      • 9.10.1. Company overview

      • 9.10.2. Key executives

      • 9.10.3. Company snapshot

      • 9.10.4. Operating business segments

      • 9.10.5. Product portfolio

      • 9.10.6. Business performance

      • 9.10.7. Key strategic moves and developments

  • LIST OF TABLES

  • TABLE 01. GLOBAL AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT, 2022-2032 ($MILLION)
    TABLE 02. AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET FOR HARDWARE, BY REGION, 2022-2032 ($MILLION)
    TABLE 03. AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET FOR SOFTWARE, BY REGION, 2022-2032 ($MILLION)
    TABLE 04. AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET FOR SERVICES, BY REGION, 2022-2032 ($MILLION)
    TABLE 05. GLOBAL AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
    TABLE 06. AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET FOR MACHINE LEARNING AND DEEP LEARNING, BY REGION, 2022-2032 ($MILLION)
    TABLE 07. AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET FOR COMPUTER VISION, BY REGION, 2022-2032 ($MILLION)
    TABLE 08. AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET FOR NATURAL LANGUAGE PROCESSING, BY REGION, 2022-2032 ($MILLION)
    TABLE 09. AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET FOR OTHERS, BY REGION, 2022-2032 ($MILLION)
    TABLE 10. GLOBAL AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022-2032 ($MILLION)
    TABLE 11. AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET FOR SEMI-AUTONOMOUS, BY REGION, 2022-2032 ($MILLION)
    TABLE 12. AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET FOR AUTONOMOUS, BY REGION, 2022-2032 ($MILLION)
    TABLE 13. AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022-2032 ($MILLION)
    TABLE 14. NORTH AMERICA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT, 2022-2032 ($MILLION)
    TABLE 15. NORTH AMERICA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
    TABLE 16. NORTH AMERICA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022-2032 ($MILLION)
    TABLE 17. NORTH AMERICA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY, 2022-2032 ($MILLION)
    TABLE 18. U.S. AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT, 2022-2032 ($MILLION)
    TABLE 19. U.S. AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
    TABLE 20. U.S. AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022-2032 ($MILLION)
    TABLE 21. CANADA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT, 2022-2032 ($MILLION)
    TABLE 22. CANADA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
    TABLE 23. CANADA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022-2032 ($MILLION)
    TABLE 24. MEXICO AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT, 2022-2032 ($MILLION)
    TABLE 25. MEXICO AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
    TABLE 26. MEXICO AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022-2032 ($MILLION)
    TABLE 27. EUROPE AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT, 2022-2032 ($MILLION)
    TABLE 28. EUROPE AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
    TABLE 29. EUROPE AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022-2032 ($MILLION)
    TABLE 30. EUROPE AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY, 2022-2032 ($MILLION)
    TABLE 31. GERMANY AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT, 2022-2032 ($MILLION)
    TABLE 32. GERMANY AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
    TABLE 33. GERMANY AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022-2032 ($MILLION)
    TABLE 34. FRANCE AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT, 2022-2032 ($MILLION)
    TABLE 35. FRANCE AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
    TABLE 36. FRANCE AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022-2032 ($MILLION)
    TABLE 37. UK AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT, 2022-2032 ($MILLION)
    TABLE 38. UK AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
    TABLE 39. UK AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022-2032 ($MILLION)
    TABLE 40. SPAIN AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT, 2022-2032 ($MILLION)
    TABLE 41. SPAIN AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
    TABLE 42. SPAIN AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022-2032 ($MILLION)
    TABLE 43. REST OF EUROPE AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT, 2022-2032 ($MILLION)
    TABLE 44. REST OF EUROPE AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
    TABLE 45. REST OF EUROPE AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022-2032 ($MILLION)
    TABLE 46. ASIA-PACIFIC AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT, 2022-2032 ($MILLION)
    TABLE 47. ASIA-PACIFIC AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
    TABLE 48. ASIA-PACIFIC AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022-2032 ($MILLION)
    TABLE 49. ASIA-PACIFIC AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY, 2022-2032 ($MILLION)
    TABLE 50. CHINA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT, 2022-2032 ($MILLION)
    TABLE 51. CHINA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
    TABLE 52. CHINA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022-2032 ($MILLION)
    TABLE 53. INDIA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT, 2022-2032 ($MILLION)
    TABLE 54. INDIA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
    TABLE 55. INDIA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022-2032 ($MILLION)
    TABLE 56. JAPAN AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT, 2022-2032 ($MILLION)
    TABLE 57. JAPAN AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
    TABLE 58. JAPAN AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022-2032 ($MILLION)
    TABLE 59. SOUTH KOREA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT, 2022-2032 ($MILLION)
    TABLE 60. SOUTH KOREA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
    TABLE 61. SOUTH KOREA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022-2032 ($MILLION)
    TABLE 62. REST OF ASIA-PACIFIC AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT, 2022-2032 ($MILLION)
    TABLE 63. REST OF ASIA-PACIFIC AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
    TABLE 64. REST OF ASIA-PACIFIC AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022-2032 ($MILLION)
    TABLE 65. LATIN AMERICA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT, 2022-2032 ($MILLION)
    TABLE 66. LATIN AMERICA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
    TABLE 67. LATIN AMERICA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022-2032 ($MILLION)
    TABLE 68. LATIN AMERICA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY, 2022-2032 ($MILLION)
    TABLE 69. BRAZIL AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT, 2022-2032 ($MILLION)
    TABLE 70. BRAZIL AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
    TABLE 71. BRAZIL AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022-2032 ($MILLION)
    TABLE 72. ARGENTINA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT, 2022-2032 ($MILLION)
    TABLE 73. ARGENTINA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
    TABLE 74. ARGENTINA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022-2032 ($MILLION)
    TABLE 75. REST OF LATIN AMERICA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT, 2022-2032 ($MILLION)
    TABLE 76. REST OF LATIN AMERICA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
    TABLE 77. REST OF LATIN AMERICA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022-2032 ($MILLION)
    TABLE 78. MIDDLE EAST AND AFRICA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT, 2022-2032 ($MILLION)
    TABLE 79. MIDDLE EAST AND AFRICA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
    TABLE 80. MIDDLE EAST AND AFRICA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022-2032 ($MILLION)
    TABLE 81. MIDDLE EAST AND AFRICA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY, 2022-2032 ($MILLION)
    TABLE 82. GCC COUNTRIES AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT, 2022-2032 ($MILLION)
    TABLE 83. GCC COUNTRIES AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
    TABLE 84. GCC COUNTRIES AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022-2032 ($MILLION)
    TABLE 85. SOUTH AFRICA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT, 2022-2032 ($MILLION)
    TABLE 86. SOUTH AFRICA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
    TABLE 87. SOUTH AFRICA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022-2032 ($MILLION)
    TABLE 88. REST OF MIDDLE EAST AND AFRICA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT, 2022-2032 ($MILLION)
    TABLE 89. REST OF MIDDLE EAST AND AFRICA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022-2032 ($MILLION)
    TABLE 90. REST OF MIDDLE EAST AND AFRICA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022-2032 ($MILLION)
    TABLE 91. NVIDIA CORPORATION: KEY EXECUTIVES
    TABLE 92. NVIDIA CORPORATION: COMPANY SNAPSHOT
    TABLE 93. NVIDIA CORPORATION: PRODUCT SEGMENTS
    TABLE 94. NVIDIA CORPORATION: SERVICE SEGMENTS
    TABLE 95. NVIDIA CORPORATION: PRODUCT PORTFOLIO
    TABLE 96. NVIDIA CORPORATION: KEY STRATERGIES
    TABLE 97. ALPHABET INC: KEY EXECUTIVES
    TABLE 98. ALPHABET INC: COMPANY SNAPSHOT
    TABLE 99. ALPHABET INC: PRODUCT SEGMENTS
    TABLE 100. ALPHABET INC: SERVICE SEGMENTS
    TABLE 101. ALPHABET INC: PRODUCT PORTFOLIO
    TABLE 102. ALPHABET INC: KEY STRATERGIES
    TABLE 103. INTEL CORPORATION: KEY EXECUTIVES
    TABLE 104. INTEL CORPORATION: COMPANY SNAPSHOT
    TABLE 105. INTEL CORPORATION: PRODUCT SEGMENTS
    TABLE 106. INTEL CORPORATION: SERVICE SEGMENTS
    TABLE 107. INTEL CORPORATION: PRODUCT PORTFOLIO
    TABLE 108. INTEL CORPORATION: KEY STRATERGIES
    TABLE 109. IBM: KEY EXECUTIVES
    TABLE 110. IBM: COMPANY SNAPSHOT
    TABLE 111. IBM: PRODUCT SEGMENTS
    TABLE 112. IBM: SERVICE SEGMENTS
    TABLE 113. IBM: PRODUCT PORTFOLIO
    TABLE 114. IBM: KEY STRATERGIES
    TABLE 115. MICROSOFT CORPORATION: KEY EXECUTIVES
    TABLE 116. MICROSOFT CORPORATION: COMPANY SNAPSHOT
    TABLE 117. MICROSOFT CORPORATION: PRODUCT SEGMENTS
    TABLE 118. MICROSOFT CORPORATION: SERVICE SEGMENTS
    TABLE 119. MICROSOFT CORPORATION: PRODUCT PORTFOLIO
    TABLE 120. MICROSOFT CORPORATION: KEY STRATERGIES
    TABLE 121. BMW AG: KEY EXECUTIVES
    TABLE 122. BMW AG: COMPANY SNAPSHOT
    TABLE 123. BMW AG: PRODUCT SEGMENTS
    TABLE 124. BMW AG: SERVICE SEGMENTS
    TABLE 125. BMW AG: PRODUCT PORTFOLIO
    TABLE 126. BMW AG: KEY STRATERGIES
    TABLE 127. UBER TECHNOLOGIES, INC: KEY EXECUTIVES
    TABLE 128. UBER TECHNOLOGIES, INC: COMPANY SNAPSHOT
    TABLE 129. UBER TECHNOLOGIES, INC: PRODUCT SEGMENTS
    TABLE 130. UBER TECHNOLOGIES, INC: SERVICE SEGMENTS
    TABLE 131. UBER TECHNOLOGIES, INC: PRODUCT PORTFOLIO
    TABLE 132. UBER TECHNOLOGIES, INC: KEY STRATERGIES
    TABLE 133. TESLA, INC.: KEY EXECUTIVES
    TABLE 134. TESLA, INC.: COMPANY SNAPSHOT
    TABLE 135. TESLA, INC.: PRODUCT SEGMENTS
    TABLE 136. TESLA, INC.: SERVICE SEGMENTS
    TABLE 137. TESLA, INC.: PRODUCT PORTFOLIO
    TABLE 138. TESLA, INC.: KEY STRATERGIES
    TABLE 139. TOYOTA MOTOR CORPORATION: KEY EXECUTIVES
    TABLE 140. TOYOTA MOTOR CORPORATION: COMPANY SNAPSHOT
    TABLE 141. TOYOTA MOTOR CORPORATION: PRODUCT SEGMENTS
    TABLE 142. TOYOTA MOTOR CORPORATION: SERVICE SEGMENTS
    TABLE 143. TOYOTA MOTOR CORPORATION: PRODUCT PORTFOLIO
    TABLE 144. TOYOTA MOTOR CORPORATION: KEY STRATERGIES
    TABLE 145. AB VOLVO: KEY EXECUTIVES
    TABLE 146. AB VOLVO: COMPANY SNAPSHOT
    TABLE 147. AB VOLVO: PRODUCT SEGMENTS
    TABLE 148. AB VOLVO: SERVICE SEGMENTS
    TABLE 149. AB VOLVO: PRODUCT PORTFOLIO
    TABLE 150. AB VOLVO: KEY STRATERGIES
  • LIST OF FIGURES

  • FIGURE 01. AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, 2022-2032
    FIGURE 02. SEGMENTATION OF AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET,2022-2032
    FIGURE 03. TOP IMPACTING FACTORS IN AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET
    FIGURE 04. TOP INVESTMENT POCKETS IN AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET (2023-2032)
    FIGURE 05. BARGAINING POWER OF SUPPLIERS
    FIGURE 06. BARGAINING POWER OF BUYERS
    FIGURE 07. THREAT OF SUBSTITUTION
    FIGURE 08. THREAT OF SUBSTITUTION
    FIGURE 09. COMPETITIVE RIVALRY
    FIGURE 10. GLOBAL AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET:DRIVERS, RESTRAINTS AND OPPORTUNITIES
    FIGURE 11. AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT, 2022 AND 2032(%)
    FIGURE 12. COMPARATIVE SHARE ANALYSIS OF AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET FOR HARDWARE, BY COUNTRY 2022 AND 2032(%)
    FIGURE 13. COMPARATIVE SHARE ANALYSIS OF AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET FOR SOFTWARE, BY COUNTRY 2022 AND 2032(%)
    FIGURE 14. COMPARATIVE SHARE ANALYSIS OF AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET FOR SERVICES, BY COUNTRY 2022 AND 2032(%)
    FIGURE 15. AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022 AND 2032(%)
    FIGURE 16. COMPARATIVE SHARE ANALYSIS OF AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET FOR MACHINE LEARNING AND DEEP LEARNING, BY COUNTRY 2022 AND 2032(%)
    FIGURE 17. COMPARATIVE SHARE ANALYSIS OF AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET FOR COMPUTER VISION, BY COUNTRY 2022 AND 2032(%)
    FIGURE 18. COMPARATIVE SHARE ANALYSIS OF AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET FOR NATURAL LANGUAGE PROCESSING, BY COUNTRY 2022 AND 2032(%)
    FIGURE 19. COMPARATIVE SHARE ANALYSIS OF AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET FOR OTHERS, BY COUNTRY 2022 AND 2032(%)
    FIGURE 20. AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022 AND 2032(%)
    FIGURE 21. COMPARATIVE SHARE ANALYSIS OF AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET FOR SEMI-AUTONOMOUS, BY COUNTRY 2022 AND 2032(%)
    FIGURE 22. COMPARATIVE SHARE ANALYSIS OF AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET FOR AUTONOMOUS, BY COUNTRY 2022 AND 2032(%)
    FIGURE 23. AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET BY REGION, 2022 AND 2032(%)
    FIGURE 24. U.S. AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, 2022-2032 ($MILLION)
    FIGURE 25. CANADA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, 2022-2032 ($MILLION)
    FIGURE 26. MEXICO AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, 2022-2032 ($MILLION)
    FIGURE 27. GERMANY AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, 2022-2032 ($MILLION)
    FIGURE 28. FRANCE AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, 2022-2032 ($MILLION)
    FIGURE 29. UK AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, 2022-2032 ($MILLION)
    FIGURE 30. SPAIN AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, 2022-2032 ($MILLION)
    FIGURE 31. REST OF EUROPE AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, 2022-2032 ($MILLION)
    FIGURE 32. CHINA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, 2022-2032 ($MILLION)
    FIGURE 33. INDIA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, 2022-2032 ($MILLION)
    FIGURE 34. JAPAN AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, 2022-2032 ($MILLION)
    FIGURE 35. SOUTH KOREA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, 2022-2032 ($MILLION)
    FIGURE 36. REST OF ASIA-PACIFIC AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, 2022-2032 ($MILLION)
    FIGURE 37. BRAZIL AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, 2022-2032 ($MILLION)
    FIGURE 38. ARGENTINA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, 2022-2032 ($MILLION)
    FIGURE 39. REST OF LATIN AMERICA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, 2022-2032 ($MILLION)
    FIGURE 40. GCC COUNTRIES AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, 2022-2032 ($MILLION)
    FIGURE 41. SOUTH AFRICA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, 2022-2032 ($MILLION)
    FIGURE 42. REST OF MIDDLE EAST AND AFRICA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, 2022-2032 ($MILLION)
    FIGURE 43. TOP WINNING STRATEGIES, BY YEAR
    FIGURE 44. TOP WINNING STRATEGIES, BY DEVELOPMENT
    FIGURE 45. TOP WINNING STRATEGIES, BY COMPANY
    FIGURE 46. PRODUCT MAPPING OF TOP 10 PLAYERS
    FIGURE 47. COMPETITIVE DASHBOARD
    FIGURE 48. COMPETITIVE HEATMAP: AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET
    FIGURE 49. TOP PLAYER POSITIONING, 2022

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