
Automotive artificial intelligence (AI) refers to the application of artificial intelligence technology and methods in the automotive field to improve the performance, safety, intelligence and user experience of automobiles. These applications usually include: autonomous driving technology, driver assistance systems, vehicle diagnosis and predictive maintenance, speech recognition and human-machine interface, intelligent traffic management, Internet of Vehicles and in-car entertainment, security and anti-fraud, etc.
The development of artificial intelligence in automotive applications is expected to improve traffic safety, reduce traffic congestion, improve fuel efficiency, and provide a better driving and riding experience. These technologies are constantly evolving and improving to meet the needs of the automotive industry in the future.
The global market for Artificial Intelligence for Automotive Applications was estimated to be worth US$ 2712 million in 2023 and is forecast to a readjusted size of US$ 11760 million by 2030 with a CAGR of 24.1% during the forecast period 2024-2030
Growing demand for autonomous vehicles and a boom in the transportation industry, as well as rising consumer awareness of sustainable solutions, are the main factors driving the adoption of artificial intelligence in automobiles. Additionally, ongoing government initiatives in vehicle and road safety, automotive technology, telematics and artificial intelligence are helping to reduce the number of traffic accidents and improve road safety. For example, collecting data on vehicles on the road and road conditions. Additionally, real-time weather information and alerts are possible over mobile networks and fast data transfer options. Ultimately, such government initiatives to reduce accidents accelerate the development of the automotive AI market. Region-wise, North America dominates the market with the largest market share at 37.1% in 2022. From an application perspective, the revenue share of the autonomous driving field in 2022 will be 45.8%. By technology, the machine learning segment has the highest revenue share and will exceed 35.2% by 2022.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence for Automotive Applications, focusing on the total sales volume, sales revenue, price, key companies market share and ranking, together with an analysis of Artificial Intelligence for Automotive Applications by region & country, by Type, and by Application.
The Artificial Intelligence for Automotive Applications market size, estimations, and forecasts are provided in terms of sales volume (Units) and sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence for Automotive Applications.
麻豆原创 Segmentation
By Company
AImotive
Argo AI
Astute Solutions
Audi
BMW
Bosch
Waymo (Alphabet)
GM Cruise
Apollo (Baidu)
Tesla
Continental
Aptiv
ZF Group
NVIDIA
Denso
Hitachi Automotive Systems
Mobileye
LumenVox
Intel
IBM
Microsoft
Xilinx, Inc
Micron Technology, Inc
Huawei
Horizon Robotics
Segment by Type:
Machine Learning
Neural Networks
Segment by Application
Autonomous Driving
Speech Recognition
Internet of Vehicles
Other
By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size (valve, volume and price). This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Artificial Intelligence for Automotive Applications manufacturers competitive landscape, price, sales and revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Sales, revenue of Artificial Intelligence for Automotive Applications in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Sales, revenue of Artificial Intelligence for Automotive Applications in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
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1 麻豆原创 Overview
1.1 Artificial Intelligence for Automotive Applications Product Introduction
1.2 Global Artificial Intelligence for Automotive Applications 麻豆原创 Size Forecast
1.2.1 Global Artificial Intelligence for Automotive Applications Sales Value (2019-2030)
1.2.2 Global Artificial Intelligence for Automotive Applications Sales Volume (2019-2030)
1.2.3 Global Artificial Intelligence for Automotive Applications Sales Price (2019-2030)
1.3 Artificial Intelligence for Automotive Applications 麻豆原创 Trends & Drivers
1.3.1 Artificial Intelligence for Automotive Applications Industry Trends
1.3.2 Artificial Intelligence for Automotive Applications 麻豆原创 Drivers & Opportunity
1.3.3 Artificial Intelligence for Automotive Applications 麻豆原创 Challenges
1.3.4 Artificial Intelligence for Automotive Applications 麻豆原创 Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Artificial Intelligence for Automotive Applications Players Revenue Ranking (2023)
2.2 Global Artificial Intelligence for Automotive Applications Revenue by Company (2019-2024)
2.3 Global Artificial Intelligence for Automotive Applications Players Sales Volume Ranking (2023)
2.4 Global Artificial Intelligence for Automotive Applications Sales Volume by Company Players (2019-2024)
2.5 Global Artificial Intelligence for Automotive Applications Average Price by Company (2019-2024)
2.6 Key Manufacturers Artificial Intelligence for Automotive Applications Manufacturing Base Distribution and Headquarters
2.7 Key Manufacturers Artificial Intelligence for Automotive Applications Product Offered
2.8 Key Manufacturers Time to Begin Mass Production of Artificial Intelligence for Automotive Applications
2.9 Artificial Intelligence for Automotive Applications 麻豆原创 Competitive Analysis
2.9.1 Artificial Intelligence for Automotive Applications 麻豆原创 Concentration Rate (2019-2024)
2.9.2 Global 5 and 10 Largest Manufacturers by Artificial Intelligence for Automotive Applications Revenue in 2023
2.9.3 Global Top Manufacturers by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Artificial Intelligence for Automotive Applications as of 2023)
2.10 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Machine Learning
3.1.2 Neural Networks
3.2 Global Artificial Intelligence for Automotive Applications Sales Value by Type
3.2.1 Global Artificial Intelligence for Automotive Applications Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Artificial Intelligence for Automotive Applications Sales Value, by Type (2019-2030)
3.2.3 Global Artificial Intelligence for Automotive Applications Sales Value, by Type (%) (2019-2030)
3.3 Global Artificial Intelligence for Automotive Applications Sales Volume by Type
3.3.1 Global Artificial Intelligence for Automotive Applications Sales Volume by Type (2019 VS 2023 VS 2030)
3.3.2 Global Artificial Intelligence for Automotive Applications Sales Volume, by Type (2019-2030)
3.3.3 Global Artificial Intelligence for Automotive Applications Sales Volume, by Type (%) (2019-2030)
3.4 Global Artificial Intelligence for Automotive Applications Average Price by Type (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Autonomous Driving
4.1.2 Speech Recognition
4.1.3 Internet of Vehicles
4.1.4 Other
4.2 Global Artificial Intelligence for Automotive Applications Sales Value by Application
4.2.1 Global Artificial Intelligence for Automotive Applications Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Artificial Intelligence for Automotive Applications Sales Value, by Application (2019-2030)
4.2.3 Global Artificial Intelligence for Automotive Applications Sales Value, by Application (%) (2019-2030)
4.3 Global Artificial Intelligence for Automotive Applications Sales Volume by Application
4.3.1 Global Artificial Intelligence for Automotive Applications Sales Volume by Application (2019 VS 2023 VS 2030)
4.3.2 Global Artificial Intelligence for Automotive Applications Sales Volume, by Application (2019-2030)
4.3.3 Global Artificial Intelligence for Automotive Applications Sales Volume, by Application (%) (2019-2030)
4.4 Global Artificial Intelligence for Automotive Applications Average Price by Application (2019-2030)
5 Segmentation by Region
5.1 Global Artificial Intelligence for Automotive Applications Sales Value by Region
5.1.1 Global Artificial Intelligence for Automotive Applications Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Artificial Intelligence for Automotive Applications Sales Value by Region (2019-2024)
5.1.3 Global Artificial Intelligence for Automotive Applications Sales Value by Region (2025-2030)
5.1.4 Global Artificial Intelligence for Automotive Applications Sales Value by Region (%), (2019-2030)
5.2 Global Artificial Intelligence for Automotive Applications Sales Volume by Region
5.2.1 Global Artificial Intelligence for Automotive Applications Sales Volume by Region: 2019 VS 2023 VS 2030
5.2.2 Global Artificial Intelligence for Automotive Applications Sales Volume by Region (2019-2024)
5.2.3 Global Artificial Intelligence for Automotive Applications Sales Volume by Region (2025-2030)
5.2.4 Global Artificial Intelligence for Automotive Applications Sales Volume by Region (%), (2019-2030)
5.3 Global Artificial Intelligence for Automotive Applications Average Price by Region (2019-2030)
5.4 North America
5.4.1 North America Artificial Intelligence for Automotive Applications Sales Value, 2019-2030
5.4.2 North America Artificial Intelligence for Automotive Applications Sales Value by Country (%), 2023 VS 2030
5.5 Europe
5.5.1 Europe Artificial Intelligence for Automotive Applications Sales Value, 2019-2030
5.5.2 Europe Artificial Intelligence for Automotive Applications Sales Value by Country (%), 2023 VS 2030
5.6 Asia Pacific
5.6.1 Asia Pacific Artificial Intelligence for Automotive Applications Sales Value, 2019-2030
5.6.2 Asia Pacific Artificial Intelligence for Automotive Applications Sales Value by Country (%), 2023 VS 2030
5.7 South America
5.7.1 South America Artificial Intelligence for Automotive Applications Sales Value, 2019-2030
5.7.2 South America Artificial Intelligence for Automotive Applications Sales Value by Country (%), 2023 VS 2030
5.8 Middle East & Africa
5.8.1 Middle East & Africa Artificial Intelligence for Automotive Applications Sales Value, 2019-2030
5.8.2 Middle East & Africa Artificial Intelligence for Automotive Applications Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Artificial Intelligence for Automotive Applications Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Artificial Intelligence for Automotive Applications Sales Value
6.2.1 Key Countries/Regions Artificial Intelligence for Automotive Applications Sales Value, 2019-2030
6.2.2 Key Countries/Regions Artificial Intelligence for Automotive Applications Sales Volume, 2019-2030
6.3 United States
6.3.1 United States Artificial Intelligence for Automotive Applications Sales Value, 2019-2030
6.3.2 United States Artificial Intelligence for Automotive Applications Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Artificial Intelligence for Automotive Applications Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Artificial Intelligence for Automotive Applications Sales Value, 2019-2030
6.4.2 Europe Artificial Intelligence for Automotive Applications Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Artificial Intelligence for Automotive Applications Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Artificial Intelligence for Automotive Applications Sales Value, 2019-2030
6.5.2 China Artificial Intelligence for Automotive Applications Sales Value by Type (%), 2023 VS 2030
6.5.3 China Artificial Intelligence for Automotive Applications Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Artificial Intelligence for Automotive Applications Sales Value, 2019-2030
6.6.2 Japan Artificial Intelligence for Automotive Applications Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Artificial Intelligence for Automotive Applications Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Artificial Intelligence for Automotive Applications Sales Value, 2019-2030
6.7.2 South Korea Artificial Intelligence for Automotive Applications Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Artificial Intelligence for Automotive Applications Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Artificial Intelligence for Automotive Applications Sales Value, 2019-2030
6.8.2 Southeast Asia Artificial Intelligence for Automotive Applications Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Artificial Intelligence for Automotive Applications Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Artificial Intelligence for Automotive Applications Sales Value, 2019-2030
6.9.2 India Artificial Intelligence for Automotive Applications Sales Value by Type (%), 2023 VS 2030
6.9.3 India Artificial Intelligence for Automotive Applications Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 AImotive
7.1.1 AImotive Company Information
7.1.2 AImotive Introduction and Business Overview
7.1.3 AImotive Artificial Intelligence for Automotive Applications Sales, Revenue and Gross Margin (2019-2024)
7.1.4 AImotive Artificial Intelligence for Automotive Applications Product Offerings
7.1.5 AImotive Recent Development
7.2 Argo AI
7.2.1 Argo AI Company Information
7.2.2 Argo AI Introduction and Business Overview
7.2.3 Argo AI Artificial Intelligence for Automotive Applications Sales, Revenue and Gross Margin (2019-2024)
7.2.4 Argo AI Artificial Intelligence for Automotive Applications Product Offerings
7.2.5 Argo AI Recent Development
7.3 Astute Solutions
7.3.1 Astute Solutions Company Information
7.3.2 Astute Solutions Introduction and Business Overview
7.3.3 Astute Solutions Artificial Intelligence for Automotive Applications Sales, Revenue and Gross Margin (2019-2024)
7.3.4 Astute Solutions Artificial Intelligence for Automotive Applications Product Offerings
7.3.5 Astute Solutions Recent Development
7.4 Audi
7.4.1 Audi Company Information
7.4.2 Audi Introduction and Business Overview
7.4.3 Audi Artificial Intelligence for Automotive Applications Sales, Revenue and Gross Margin (2019-2024)
7.4.4 Audi Artificial Intelligence for Automotive Applications Product Offerings
7.4.5 Audi Recent Development
7.5 BMW
7.5.1 BMW Company Information
7.5.2 BMW Introduction and Business Overview
7.5.3 BMW Artificial Intelligence for Automotive Applications Sales, Revenue and Gross Margin (2019-2024)
7.5.4 BMW Artificial Intelligence for Automotive Applications Product Offerings
7.5.5 BMW Recent Development
7.6 Bosch
7.6.1 Bosch Company Information
7.6.2 Bosch Introduction and Business Overview
7.6.3 Bosch Artificial Intelligence for Automotive Applications Sales, Revenue and Gross Margin (2019-2024)
7.6.4 Bosch Artificial Intelligence for Automotive Applications Product Offerings
7.6.5 Bosch Recent Development
7.7 Waymo (Alphabet)
7.7.1 Waymo (Alphabet) Company Information
7.7.2 Waymo (Alphabet) Introduction and Business Overview
7.7.3 Waymo (Alphabet) Artificial Intelligence for Automotive Applications Sales, Revenue and Gross Margin (2019-2024)
7.7.4 Waymo (Alphabet) Artificial Intelligence for Automotive Applications Product Offerings
7.7.5 Waymo (Alphabet) Recent Development
7.8 GM Cruise
7.8.1 GM Cruise Company Information
7.8.2 GM Cruise Introduction and Business Overview
7.8.3 GM Cruise Artificial Intelligence for Automotive Applications Sales, Revenue and Gross Margin (2019-2024)
7.8.4 GM Cruise Artificial Intelligence for Automotive Applications Product Offerings
7.8.5 GM Cruise Recent Development
7.9 Apollo (Baidu)
7.9.1 Apollo (Baidu) Company Information
7.9.2 Apollo (Baidu) Introduction and Business Overview
7.9.3 Apollo (Baidu) Artificial Intelligence for Automotive Applications Sales, Revenue and Gross Margin (2019-2024)
7.9.4 Apollo (Baidu) Artificial Intelligence for Automotive Applications Product Offerings
7.9.5 Apollo (Baidu) Recent Development
7.10 Tesla
7.10.1 Tesla Company Information
7.10.2 Tesla Introduction and Business Overview
7.10.3 Tesla Artificial Intelligence for Automotive Applications Sales, Revenue and Gross Margin (2019-2024)
7.10.4 Tesla Artificial Intelligence for Automotive Applications Product Offerings
7.10.5 Tesla Recent Development
7.11 Continental
7.11.1 Continental Company Information
7.11.2 Continental Introduction and Business Overview
7.11.3 Continental Artificial Intelligence for Automotive Applications Sales, Revenue and Gross Margin (2019-2024)
7.11.4 Continental Artificial Intelligence for Automotive Applications Product Offerings
7.11.5 Continental Recent Development
7.12 Aptiv
7.12.1 Aptiv Company Information
7.12.2 Aptiv Introduction and Business Overview
7.12.3 Aptiv Artificial Intelligence for Automotive Applications Sales, Revenue and Gross Margin (2019-2024)
7.12.4 Aptiv Artificial Intelligence for Automotive Applications Product Offerings
7.12.5 Aptiv Recent Development
7.13 ZF Group
7.13.1 ZF Group Company Information
7.13.2 ZF Group Introduction and Business Overview
7.13.3 ZF Group Artificial Intelligence for Automotive Applications Sales, Revenue and Gross Margin (2019-2024)
7.13.4 ZF Group Artificial Intelligence for Automotive Applications Product Offerings
7.13.5 ZF Group Recent Development
7.14 NVIDIA
7.14.1 NVIDIA Company Information
7.14.2 NVIDIA Introduction and Business Overview
7.14.3 NVIDIA Artificial Intelligence for Automotive Applications Sales, Revenue and Gross Margin (2019-2024)
7.14.4 NVIDIA Artificial Intelligence for Automotive Applications Product Offerings
7.14.5 NVIDIA Recent Development
7.15 Denso
7.15.1 Denso Company Information
7.15.2 Denso Introduction and Business Overview
7.15.3 Denso Artificial Intelligence for Automotive Applications Sales, Revenue and Gross Margin (2019-2024)
7.15.4 Denso Artificial Intelligence for Automotive Applications Product Offerings
7.15.5 Denso Recent Development
7.16 Hitachi Automotive Systems
7.16.1 Hitachi Automotive Systems Company Information
7.16.2 Hitachi Automotive Systems Introduction and Business Overview
7.16.3 Hitachi Automotive Systems Artificial Intelligence for Automotive Applications Sales, Revenue and Gross Margin (2019-2024)
7.16.4 Hitachi Automotive Systems Artificial Intelligence for Automotive Applications Product Offerings
7.16.5 Hitachi Automotive Systems Recent Development
7.17 Mobileye
7.17.1 Mobileye Company Information
7.17.2 Mobileye Introduction and Business Overview
7.17.3 Mobileye Artificial Intelligence for Automotive Applications Sales, Revenue and Gross Margin (2019-2024)
7.17.4 Mobileye Artificial Intelligence for Automotive Applications Product Offerings
7.17.5 Mobileye Recent Development
7.18 LumenVox
7.18.1 LumenVox Company Information
7.18.2 LumenVox Introduction and Business Overview
7.18.3 LumenVox Artificial Intelligence for Automotive Applications Sales, Revenue and Gross Margin (2019-2024)
7.18.4 LumenVox Artificial Intelligence for Automotive Applications Product Offerings
7.18.5 LumenVox Recent Development
7.19 Intel
7.19.1 Intel Company Information
7.19.2 Intel Introduction and Business Overview
7.19.3 Intel Artificial Intelligence for Automotive Applications Sales, Revenue and Gross Margin (2019-2024)
7.19.4 Intel Artificial Intelligence for Automotive Applications Product Offerings
7.19.5 Intel Recent Development
7.20 IBM
7.20.1 IBM Company Information
7.20.2 IBM Introduction and Business Overview
7.20.3 IBM Artificial Intelligence for Automotive Applications Sales, Revenue and Gross Margin (2019-2024)
7.20.4 IBM Artificial Intelligence for Automotive Applications Product Offerings
7.20.5 IBM Recent Development
7.21 Microsoft
7.21.1 Microsoft Company Information
7.21.2 Microsoft Introduction and Business Overview
7.21.3 Microsoft Artificial Intelligence for Automotive Applications Sales, Revenue and Gross Margin (2019-2024)
7.21.4 Microsoft Artificial Intelligence for Automotive Applications Product Offerings
7.21.5 Microsoft Recent Development
7.22 Xilinx, Inc
7.22.1 Xilinx, Inc Company Information
7.22.2 Xilinx, Inc Introduction and Business Overview
7.22.3 Xilinx, Inc Artificial Intelligence for Automotive Applications Sales, Revenue and Gross Margin (2019-2024)
7.22.4 Xilinx, Inc Artificial Intelligence for Automotive Applications Product Offerings
7.22.5 Xilinx, Inc Recent Development
7.23 Micron Technology, Inc
7.23.1 Micron Technology, Inc Company Information
7.23.2 Micron Technology, Inc Introduction and Business Overview
7.23.3 Micron Technology, Inc Artificial Intelligence for Automotive Applications Sales, Revenue and Gross Margin (2019-2024)
7.23.4 Micron Technology, Inc Artificial Intelligence for Automotive Applications Product Offerings
7.23.5 Micron Technology, Inc Recent Development
7.24 Huawei
7.24.1 Huawei Company Information
7.24.2 Huawei Introduction and Business Overview
7.24.3 Huawei Artificial Intelligence for Automotive Applications Sales, Revenue and Gross Margin (2019-2024)
7.24.4 Huawei Artificial Intelligence for Automotive Applications Product Offerings
7.24.5 Huawei Recent Development
7.25 Horizon Robotics
7.25.1 Horizon Robotics Company Information
7.25.2 Horizon Robotics Introduction and Business Overview
7.25.3 Horizon Robotics Artificial Intelligence for Automotive Applications Sales, Revenue and Gross Margin (2019-2024)
7.25.4 Horizon Robotics Artificial Intelligence for Automotive Applications Product Offerings
7.25.5 Horizon Robotics Recent Development
8 Industry Chain Analysis
8.1 Artificial Intelligence for Automotive Applications Industrial Chain
8.2 Artificial Intelligence for Automotive Applications Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Artificial Intelligence for Automotive Applications Sales Model
8.5.2 Sales Channel
8.5.3 Artificial Intelligence for Automotive Applications Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer
AImotive
Argo AI
Astute Solutions
Audi
BMW
Bosch
Waymo (Alphabet)
GM Cruise
Apollo (Baidu)
Tesla
Continental
Aptiv
ZF Group
NVIDIA
Denso
Hitachi Automotive Systems
Mobileye
LumenVox
Intel
IBM
Microsoft
Xilinx, Inc
Micron Technology, Inc
Huawei
Horizon Robotics
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听
*If Applicable.
