HOME Top Market Reports Automotive Artificial Intelligence Market by Offering (Hardware, Software), Technology (Deep Learning, Machine Learning, Computer Vision, Context Awareness and Natural Language Processing), Process, Application and Region - Global Forecast to 2025

Automotive Artificial Intelligence Market by Offering (Hardware, Software), Technology (Deep Learning, Machine Learning, Computer Vision, Context Awareness and Natural Language Processing), Process, Application and Region - Global Forecast to 2025

By: marketsandmarkets.com
Publishing Date: August 2017
Report Code: SE 5533

 

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The automotive artificial intelligence (AI) market is expected to be valued at USD 565.2 Million in 2016 and is expected to reach USD 10,573.3 Million by 2025, at a CAGR of 38.46% during the forecast period. The base year considered for the study is 2016, and the forecast of the market size has been provided for the period between 2017 and 2025.

Objective of the Study:

  • To define and describe the automotive AI market on the basis of offering, technology, process, application, and geography
  • To forecast the market size of the various segments with respect to 4 main geographies: North America, Europe, APAC, and Rest of the World
  • To provide detailed information regarding the major factors influencing the growth of the market (drivers, restraints, opportunities, and industry-specific challenges)
  • To strategically analyze micromarkets1 with respect to individual growth trends, prospects, and contributions to the total market
  • To strategically profile key players and comprehensively analyze their market shares and core competencies,2 along with detailing the competitive landscape for market leaders
  • To analyze competitive developments such as joint ventures, collaborations, agreements, contracts, partnerships, mergers & acquisitions, new product developments, and research & developments in the automotive AI market
  • To benchmark players within the market using the Competitive Leadership mapping, which analyzes market players on various parameters within the broad categories of business and product strategy.

Research Methodology:

This study incorporates the extensive usage of secondary sources, directories, and databases such as Hoovers, Bloomberg BusinessWeek, Factiva, and OneSource, to identify and collect information useful for this technical, market-oriented, and commercial study of the automotive AI market. The primary sources mainly comprise several industry experts from core and related industries, along with preferred suppliers, manufacturers, distributors, service providers, reimbursement providers, technology developers, alliances, standards, and certification organizations related to all the phases of this industry’s value chain. Both top-down and bottom-up approaches have been used to estimate and validate the size of the automotive AI market and to estimate the size of the other dependent sub-markets. After arriving at the overall market size, the total market has been split into several segments and sub-segments, which have been verified through primary research by conducting extensive interviews with key people such as CEOs, VPs, directors, and executives. The market breakdown and data triangulation procedures have been employed to complete the overall market engineering process and arrive at the exact statistics for all segments and subsegments. The breakdown of profiles of primary respondents has been depicted in the figure below:

Automotive Artificial Intelligence Market

To know about the assumptions considered for the study, download the pdf brochure

Key Target Audience:

  • Semiconductor companies
  • Technology providers
  • Universities and research organizations
  • System integrators
  • AI solution providers
  • AI platform providers
  • Cloud service providers
  • Technology providers
  • AI system providers
  • Universities and research organizations
  • Investors and venture capitalists

Scope of the Report:

The research report segments the automotive AI market into the following subsegments.

By Offering:

  • Hardware
  • Software

By Technology:

  • Deep Learning
  • Machine Learning
  • Context Awareness
  • Computer Vision
  • Natural Language Processing

By Process:

  • Signal Recognition
  • Image Recognition
  • Data Mining

By Application:

  • Human–Machine Interface
  • Semi-autonomous Driving
  • Autonomous Driving

By Region:

  • North America
  • Europe
  • APAC
  • RoW

Available Customizations:

  • Analysis of the industries in the automotive AI market in different geographical regions. Customization can be provided on country-wise analysis of the automotive AI market with respect to industries.  
  • Detailed analysis and profiling of additional market players (up to 5)

Table of Contents

1 Introduction (Page No. - 17)
    1.1 Objectives of the Study
    1.2 Market Definition
    1.3 Study Scope
           1.3.1 Markets Covered
           1.3.2 Years Considered for This Study
    1.4 Currency
    1.5 Stakeholders

2 Research Methodology (Page No. - 20)
    2.1 Research Data
           2.1.1 Secondary Data
                    2.1.1.1 Secondary Sources
           2.1.2 Primary Data
                    2.1.2.1 Primary Sources
                    2.1.2.2 Key Industry Insights
                    2.1.2.3 Breakdown of Primaries
    2.2 Demand- and Supply-Side Analysis of Automotive AI Market
           2.2.1 Introduction
           2.2.2 Demand Side Analysis
                    2.2.2.1 Growth in Luxury Vehicle Sales
                    2.2.2.2 Increasing Traffic Congestions Due to Rising Urbanization Around the Globe
           2.2.3 Supply Side Analysis
                    2.2.3.1 Rising Demand for Safety, Convenience, and Comfort Applications in Vehicle
    2.3 Market Size Estimation
           2.3.1 Bottom-Up Approach
           2.3.2 Top-Down Approach
    2.4 Market Breakdown & Data Triangulation
    2.5 Research Assumptions

3 Executive Summary (Page No. - 32)

4 Premium Insights (Page No. - 38)
    4.1 Attractive Market Opportunities in the Automotive AI Market
    4.2 Automotive AI Market, By Offering, 2017–2025 (USD Billion)
    4.3 Automotive AI Market, By Technology
    4.4 Snapshot of the Automotive AI Market Based on Application and Region
    4.5 Automotive AI Market, By Region

5 Market Overview (Page No. - 41)
    5.1 Introduction
    5.2 Market Dynamics
           5.2.1 Drivers
                    5.2.1.1 Increasing Government Regulations for Vehicle Safety and the Growing Adoption of ADAS Technology By Oems
                    5.2.1.2 Rising Demand for Enhanced User Experience and Convenience Features
                    5.2.1.3 Rising Trend of Autonomous Vehicles
           5.2.2 Restraints
                    5.2.2.1 Increase in the Overall Cost of A Vehicle
                    5.2.2.2 Threat to Cyber Security of Vehicles
           5.2.3 Opportunities
                    5.2.3.1 Increasing Demand for Premium Segment Vehicles
                    5.2.3.2 Sensor Fusion
           5.2.4 Challenges
                    5.2.4.1 Maintaining the Balance Between Cost and Quality

6 Technological Overview of Automotive AI Market (Page No. - 51)
    6.1 Introduction
    6.2 Current Use Cases in Automotive Artificial Intelligence Market
           6.2.1 Human–Machine Interface
           6.2.2 Predictive Maintenance
           6.2.3 Autonomous Vehicle
           6.2.4 Advanced Driver Assistance System
           6.2.5 Precision and Mapping
           6.2.6 Others

7 Automotive Artificial Intelligence Market, By Offering (Page No. - 56)
    7.1 Introduction
    7.2 Hardware
           7.2.1 Von Neumann Architecture
           7.2.2 Neuromorphic Architecture
    7.3 Software
           7.3.1 Solutions
           7.3.2 Platforms

8 Automotive Artificial Intelligence Market, By Technology (Page No. - 64)
    8.1 Introduction
    8.2 Deep Learning
    8.3 Machine Learning
    8.4 Computer Vision
    8.5 Context Awareness
    8.6 Natural Language Processing

9 Automotive Artificial Intelligence Market, By Process (Page No. - 78)
    9.1 Introduction
    9.2 Signal Recognition
    9.3 Image Recognition
    9.4 Data Mining

10 Automotive AI Market, By Application (Page No. - 86)
     10.1 Introduction
     10.2 Human–Machine Interface
     10.3 Semi-Autonomous Driving
     10.4 Autonomous Vehicle

11 Geographic Analysis (Page No. - 96)
     11.1 Introduction
     11.2 North America
             11.2.1 US
             11.2.2 Canada
             11.2.3 Mexico
     11.3 Europe
             11.3.1 Germany
             11.3.2 France
             11.3.3 UK
             11.3.4 Rest of Europe
     11.4 Asia Pacific
             11.4.1 China
             11.4.2 Japan
             11.4.3 South Korea
             11.4.4 Rest of APAC
     11.5 Rest of the World
             11.5.1 South America
             11.5.2 Middle East and Africa

12 Competitive Landscape (Page No. - 117)
     12.1 Overview
     12.2 Market Ranking Analysis
     12.3 Competitive Leadership Mapping
             12.3.1 Visionary Leaders
             12.3.2 Dynamic Differentiators
             12.3.3 Innovators
             12.3.4 Emerging Companies
     12.4 Competitive Benchmarking
             12.4.1 Business Strategy Excellence (25 Companies)
             12.4.2 Strength of Product Portfolio (25 Companies)

*25 Companies analyzed across this ecosystem are – NVIDIA (US), IBM (US), Intel (US), Microsoft (US), Alphabet (US), Baidu (China), AImotive (Hungary), Nauto (US), nuTonomy (US), Zoox (US), drive.ai (US), Nuro (US), BRAIQ (US), Graphcore (UK), NeuroControls (South Korea), FiveAI (UK), General Vision (US), BrainChip (US), Nuance Communications (US), Argo AI (US), Xilinx (US), Harman International Industries (US), Qualcomm (US), ARM Holdings (UK), Advanced Micro Devices (US)

13 Company Profiles (Page No. - 123)
(Business Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments, MnM View, Key Relationships)*
     13.1 NVIDIA Corporation
     13.2 Alphabet Inc.
     13.3 Intel Corporation
     13.4 Microsoft Corporation
     13.5 International Business Machines Corporation
     13.6 Harman International Industries, Inc.
     13.7 Xilinx Inc.
     13.8 Qualcomm Inc.
     13.9 Tesla, Inc.
     13.10 Volvo Car Corporation
     13.11 Bayerische Motoren Werke AG
     13.12 Audi AG
     13.13 General Motors Company
     13.14 Ford Motor Company
     13.15 Toyota Motor Corporation
     13.16 Honda Motor Co. Ltd.
     13.17 Hyundai Motor Company
     13.18 Daimler AG
     13.19 Uber Technologies, Inc.
     13.20 Didi Chuxing
     13.21 Start-Up Ecosystem
             13.21.1 AImotive
             13.21.2 Nauto, Inc.
             13.21.3 nuTonomy
             13.21.4 Zoox Inc.
             13.21.5 drive.ai

*Details on Business Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments, MnM View, Key Relationships Might Not Be Captured in Case of Unlisted Companies.

14 Appendix (Page No. - 196)
     14.1 Insights From Industry Experts
     14.2 Discussion Guide
     14.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
     14.4 Introducing RT: Real-Time Market Intelligence
     14.5 Available Customization
     14.6 Related Reports
     14.7 Author Details


List of Tables (66 Tables)

Table 1 Luxury Vehicle Sales of Key Manufacturers, India, 2013–2015
Table 2 Luxury Vehicle Sales of Key Manufacturers, China, 2013–2015
Table 3 Regulations for Driver Assistance Systems
Table 4 Autonomous Driving Attempts Among Automakers
Table 5 Number of Luxury Passenger Cars Sold By Key Manufacturers in China, India, Germany, & UK, 2014–2015
Table 6 Automotive AI Market, By Offering, 2015–2025 (USD Million)
Table 7 Automotive AI Hardware Market, By Computing Type, 2015–2025 (USD Million)
Table 8 Automotive AI Hardware Market, By Technology, 2015–2025 (USD Million)
Table 9 Automotive AI Hardware Market, By Region, 2015–2025 (USD Million)
Table 10 Automotive AI Software Market, By Software Type, 2015–2025 (USD Million)
Table 11 Automotive AI Software Market, By Technology, 2015–2025 (USD Million)
Table 12 Automotive AI Software Market, By Region, 2015–2025 (USD Million)
Table 13 Automotive AI Market, By Technology, 2015–2025 (USD Million)
Table 14 Automotive AI Market for Deep Learning Technology, By Offering, 2015–2025 (USD Million)
Table 15 Automotive AI Market for Deep Learning, By Application, 2015–2025 (USD Million)
Table 16 Automotive AI Market for Deep Learning, By Region, 2015–2025 (USD Million)
Table 17 Automotive AI Market for Machine Learning Technology, By Offering, 2015–2025 (USD Million)
Table 18 Automotive AI Market for Machine Learning, By Application, 2015–2025 (USD Million)
Table 19 Automotive AI Market for Machine Learning, By Region, 2015–2025 (USD Million)
Table 20 Automotive AI Market for Computer Vision Technology, By Offering, 2015–2025 (USD Million)
Table 21 Automotive AI Market for Computer Vision, By Application, 2015–2025 (USD Million)
Table 22 Automotive AI Market for Computer Vision, By Region, 2015–2025 (USD Million)
Table 23 Automotive AI Market for Context Awareness Technology, By Offering, 2015–2025 (USD Million)
Table 24 Automotive AI Market for Context Awareness, By Application, 2015–2025 (USD Million)
Table 25 Automotive AI Market for Context Awareness, By Region, 2015–2025 (USD Million)
Table 26 Automotive AI Market for Nlp Technology, By Offering, 2015–2025 (USD Million)
Table 27 Automotive AI Market for Nlp, By Region, 2015–2025 (USD Million)
Table 28 Automotive AI Market, By Process, 2015–2025 (USD Million)
Table 29 Automotive AI Market for Signal Recognition, By Application, 2015–2025 (USD Million)
Table 30 Automotive AI Market for Signal Recognition, By Region, 2015–2025 (USD Million)
Table 31 Automotive AI Market for Image Recognition, By Application, 2015–2025 (USD Million)
Table 32 Automotive AI Market for Image Recognition, By Region, 2015–2025 (USD Million)
Table 33 Automotive AI Market for Data Mining, By Application, 2015–2025 (USD Million)
Table 34 Automotive AI Market, for Data Mining, By Region, 2015–2025 (USD Million)
Table 35 Automotive AI Market, By Application, 2015-2025 (USD Million)
Table 36 Automotive AI Market for HMI, By Region, 2015–2025 (USD Million)
Table 37 Automotive AI Market for HMI, By Process, 2015–2025 (USD Million)
Table 38 Automotive AI Market for HMI, By Technology, 2015–2025 (USD Million)
Table 39 Automotive AI Market for Semi-Autonomous Driving, By Region, 2015–2025 (USD Million)
Table 40 Automotive AI Market for Semi-Autonomous Driving, By Process, 2015-2025 (USD Million)
Table 41 Automotive AI Market for Semi-Autonomous Driving, By Technology, 2015-2025 (USD Million)
Table 42 Automotive AI Market for Autonomous Driving, By Region, 2015–2025 (USD Million)
Table 43 Automotive AI Market for Autonomous Driving, By Process, 2015–2025 (USD Million)
Table 44 Automotive AI Market for Autonomous Driving, By Technology, 2015–2025 (USD Million)
Table 45 Automotive AI Market, By Region, 2015–2025 (USD Million)
Table 46 Automotive AI Market, for North America, By Application, 2015-2025 (USD Million)
Table 47 Automotive AI Market, for North America, By Offering, 2015-2025 (USD Million)
Table 48 Automotive AI Market, for North America, By Process, 2015-2025 (USD Million)
Table 49 Automotive AI Market, for North America, By Technology, 2015-2025 (USD Million)
Table 50 Automotive AI Market, North America, By Country, 2015-2025 (USD Million)
Table 51 Automotive AI Market, for Europe, By Application, 2015-2025 (USD Million)
Table 52 Automotive AI Market, for Europe, By Offering, 2015-2025 (USD Million)
Table 53 Automotive AI Market, for Europe, By Process, 2015-2025 (USD Million)
Table 54 Automotive AI Market, for Europe, By Technology, 2015-2025 (USD Million)
Table 55 Automotive AI Market, Europe, By Region, 2015-2025 (USD Million)
Table 56 Automotive AI Market, for Asia Pacific, By Application, 2015-2025 (USD Million)
Table 57 Automotive AI Market, for Asia Pacific, By Offering, 2015-2025 (USD Million)
Table 58 Automotive AI Market, for Asia Pacific, By Process, 2015-2025 (USD Million)
Table 59 Automotive AI Market, for Asia Pacific, By Technology, 2015-2025 (USD Million)
Table 60 Automotive AI Market, Asia Pacific, By Region, 2015-2025 (USD Million))
Table 61 Automotive AI Market, for RoW, By Application, 2015-2025 (USD Million)
Table 62 Automotive AI Market, for RoW, By Offering, 2015-2025 (USD Million)
Table 63 Automotive AI Market, for RoW, By Process, 2015-2025 (USD Million)
Table 64 Automotive AI Market, for RoW, By Technology, 2015-2025 (USD Million)
Table 65 Automotive AI Market, RoW, By Region, 2015-2025 (USD Million)
Table 66 NVIDIA Corporation Led the Automotive AI Market in 2016


List of Figures (66 Figures)

Figure 1 Automotive Artificial Intelligence Market: Research Design
Figure 2 Average Traffic Congestion, 2015
Figure 3 Urban Population, 2005 vs 2015
Figure 4 Technological Advancements in Vehicle Automation
Figure 5 Process Flow of Market Size Estimation
Figure 6 Market Size Estimation: Bottom-Up Approach
Figure 7 Market Size Estimation: Top-Down Approach
Figure 8 Data Triangulation
Figure 9 Automotive AI Market, By Offering, 2017–2025
Figure 10 Automotive AI Market, By Technology, 2017–2025
Figure 11 Automotive AI Market, By Process, 2017 vs 2025
Figure 12 Automotive AI Market, By Application, 2017–2025
Figure 13 Automotive AI Market, By Region, 2017
Figure 14 Automotive AI Market Expected to Grow at A Steady Rate Between 2017 and 2025
Figure 15 Software to Hold the Largest Market in 2017
Figure 16 Deep Learning Expected to Grow at the Highest Rate During the Forecast Period
Figure 17 Human–Machine Interface Expected to Hold the Largest Share of the Automotive AI Market By Application in 2017
Figure 18 US Held the Largest Share of the Automotive AI Market in 2017
Figure 19 Automotive AI Market: Drivers, Restraints, Opportunities, and Restraints
Figure 20 Road Traffic Death Rate, Per 1,00,000 Population, 2015
Figure 21 Levels of Autonomous Driving
Figure 22 Sensor Fusion
Figure 23 Evolution of Artificial Intelligence in the Automotive Industry
Figure 24 Role of Artificial Intelligence in Automotive Industry
Figure 25 Software Expected to Hold A Larger Share of the Automotive AI Market in 2017
Figure 26 North America to Have the Largest Market Share of the Automotive AI Hardware Market During the Forecast Period
Figure 27 Deep Learning Technology to Have the Largest Market Size in the Automotive AI Market During the Forecast Period
Figure 28 Deep Learning Expected to Hold the Largest Share of the Automotive AI Market in 2017
Figure 29 North America to Have the Largest Market Share of the Automotive AI Market for Deep Learning During the Forecast Period
Figure 30 HMI to Have the Largest Market Share of the Automotive AI Market for Machine Learning During the Forecast Period
Figure 31 North America to Have the Largest Market Share of the Automotive AI Market for Context Awareness During the Forecast Period
Figure 32 Software to Have the Largest Market Share of the Automotive AI Market for Natural Language Processing During the Forecast Period
Figure 33 Signal Recognition Expected to Hold the Largest Share of the Automotive AI Market, By Process, in 2017
Figure 34 North America to Have the Largest Market Share of the Automotive AI Market for Signal Recognition During the Forecast Period
Figure 35 HMI Technology to Have the Largest Market Share of the Automotive AI Market for Image Recognition During the Forecast Period
Figure 36 North America to Have the Largest Market Share of the Automotive AI Market for Data Mining During the Forecast Period
Figure 37 HMI Application to Have the Largest Market Share of the Automotive AI Market By 2025
Figure 38 North America Expected to Dominate the Automotive AI Market for HMI Application During the Forecast Period
Figure 39 Signal Recognition Expected to Dominate the Automotive AI Market for Semi-Autonomous Driving Application During the Forecast Period
Figure 40 Deep Learning Expected to Dominate the Automotive AI Market for Autonomous Driving Application During the Forecast Period
Figure 41 North America Expected to Dominate Automotive AI Market During Forecast Period
Figure 42 North America: Market Snapshot
Figure 43 Europe: Market Snapshot
Figure 44 Germany Expected to Dominate Automotive AI Market in Europe During Forecast Period
Figure 45 Asia Pacific: Market Snapshot
Figure 46 China Expected to Dominate Automotive AI Market in Asia Pacific During Forecast Period
Figure 47 Companies Adopted Partnerships, Agreements, Alliances, & Collaborations as Key Growth Strategies Between 2015 and 2017
Figure 48 Automotive AI Market (Global): Competitive Leadership Mapping, 2017
Figure 49 NVIDIA Corporation: Company Snapshot
Figure 50 Alphabet Inc.: Company Snapshot
Figure 51 Intel Corporation: Company Snapshot
Figure 52 Microsoft Corporation: Company Snapshot
Figure 53 IBM Corporation: Company Snapshot
Figure 54 Harman International Industries, Inc.: Company Snapshot
Figure 55 Xilinx Inc.: Company Snapshot
Figure 56 Qualcomm Inc.: Company Snapshot
Figure 57 Tesla, Inc.: Company Snapshot
Figure 58 Volvo Car Corporation: Company Snapshot
Figure 59 Bayerische Motoren Werke AG: Company Snapshot
Figure 60 Audi AG: Company Snapshot
Figure 61 General Motors Company: Company Snapshot
Figure 62 Ford Motor Company: Company Snapshot
Figure 63 Toyota Motor Corporation: Company Snapshot
Figure 64 Honda Motor Co. Ltd.: Company Snapshot
Figure 65 Hyundai Motor Company: Company Snapshot
Figure 66 Daimler AG: Company Snapshot

According to MarketsandMarkets, the automotive artificial intelligence (AI) market is expected to be valued at USD 782.9 Million in 2017 and is expected to reach USD 10,573.3 Million by 2025, at a CAGR of 38.46% between 2017 and 2025. The increasing government regulations for vehicle safety, growing adoption of ADAS technology by OEMs, and rising demand for enhanced user experience play a significant role in the growth of the automotive AI market.

The automotive AI market, in this report, has been segmented on the basis of offering, technology, process, application, and region. On the basis of offering, the automotive AI market is segmented into hardware and software. Companies such as Alphabet Inc. (US), Microsoft Corporation (US), IBM Corporation (US), and Intel Corporation (US) are among the frontrunners in the development of AI software for the automotive industry.

On the basis of technology, the market is segmented into deep learning, machine learning, context awareness, computer vision, and natural language processing. Deep learning technology is expected to be the largest and the fastest-growing technology. Many companies are investing in the development of self-driving cars in which the deep learning technology is used for image processing, speech recognition, and data analysis. For instance, Google is heavily investing in autonomous vehicles through its spin-off Waymo and has an active system integrated into its self-driving vehicle with the deep learning technology to detect pedestrians in different situations.

The automotive AI market, on the basis of process, is segmented into signal recognition, image recognition, and data mining. Data is collected from different sensors used in a semi-autonomous or autonomous vehicle, which can be used to train the vehicle to detect or recognize images, obstacles, and various scenarios one might encounter behind the wheel. Due to the huge volumes of data generated and processed in a vehicle, data mining is expected to be the fastest-growing process in the automotive AI market.

Automotive AI market is segmented by application into human machine interface, semi-autonomous driving, and autonomous driving. Automotive HMI has evolved drastically in last few years and implemented disruptive technologies in various products such as voice recognition system and gesture recognition system. This is a growing market where the innovative AI technology is being used in upcoming models in premium segments.

Automotive Artificial Intelligence Market

The automotive AI market in APAC is expected to grow at a high rate between 2017 and 2025. APAC’s massive population, fast-growing economies, and rising living standards are well positioned to ride the AI wave. This region houses established automakers such as Toyota (Japan), Hyundai Motor Company (South Korea), and Honda Motor Company (Japan). Other countries in APAC, such as South Korea and Japan, have strong technological capabilities. The region, therefore, represents a balanced blend of demand and technology, making it an ideal investment for any OEM.

Most of the artificial intelligence applications are complex in nature and consequently very expensive. There is also a threat to the cybersecurity of a vehicle which has AI. These factors are restricting the growth of the automotive AI market, especially in APAC as it comprises cost-driven markets such as China and India. The companies covered in the automotive AI market are NVIDIA Corporation (US), Alphabet Inc. (US), Intel Corporation (US), IBM Corporation (US), Microsoft Corporation (US), Harman International Industries Inc. (US), Xilinx Inc. (US), Qualcomm Inc. (US), Tesla Inc. (US), Volvo Car Corporation (Sweden), BMW AG (Germany), Audi AG (Germany), General Motors Company (US), Ford Motor Company (US), Toyota Motor Corporation (Japan), Hyundai Motor Corporation (South Korea), Uber Technologies Inc. (US), Honda Motor Co. Ltd. (Japan), Daimler AG (Germany), and Didi Chuxing (China). Some important start-ups of the automotive AI market have also been included: AImotive (Hungary), Nauto Inc. (US), nuTonomy (US), Argo AI (US), and drive.ai (US).

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