The global Automotive Artificial Intelligence (AI) market size was valued at US$ 2738.9 million in 2023. With growing demand in downstream market, the Automotive Artificial Intelligence (AI) is forecast to a readjusted size of US$ 20440 million by 2030 with a CAGR of 33.3% during review period.
The research report highlights the growth potential of the global Automotive Artificial Intelligence (AI) market. Automotive Artificial Intelligence (AI) are expected to show stable growth in the future market. However, product differentiation, reducing costs, and supply chain optimization remain crucial for the widespread adoption of Automotive Artificial Intelligence (AI). 麻豆原创 players need to invest in research and development, forge strategic partnerships, and align their offerings with evolving consumer preferences to capitalize on the immense opportunities presented by the Automotive Artificial Intelligence (AI) market.
Automobile artificial intelligence is a comprehensive system that integrates environmental perception, planning and decision-making, and multi-level assisted driving. It focuses on the use of computers, modern sensing, information fusion, communication, artificial intelligence and automatic control technologies, which are typical High-tech complex.
Global core automotive artificial intelligence (AI) manufacturers include NVIDIA, Uber Technologies and Alphabet (Google) etc. The Top3 companies hold a share above 40%. North America is the largest market, with a share about 36%, followed by Europe and China with the share about 35% and 23%.
Key Features:
The report on Automotive Artificial Intelligence (AI) market reflects various aspects and provide valuable insights into the industry.
麻豆原创 Size and Growth: The research report provide an overview of the current size and growth of the Automotive Artificial Intelligence (AI) market. It may include historical data, market segmentation by Type (e.g., Hardware, Software), and regional breakdowns.
麻豆原创 Drivers and Challenges: The report can identify and analyse the factors driving the growth of the Automotive Artificial Intelligence (AI) market, such as government regulations, environmental concerns, technological advancements, and changing consumer preferences. It can also highlight the challenges faced by the industry, including infrastructure limitations, range anxiety, and high upfront costs.
Competitive Landscape: The research report provides analysis of the competitive landscape within the Automotive Artificial Intelligence (AI) market. It includes profiles of key players, their market share, strategies, and product offerings. The report can also highlight emerging players and their potential impact on the market.
Technological Developments: The research report can delve into the latest technological developments in the Automotive Artificial Intelligence (AI) industry. This include advancements in Automotive Artificial Intelligence (AI) technology, Automotive Artificial Intelligence (AI) new entrants, Automotive Artificial Intelligence (AI) new investment, and other innovations that are shaping the future of Automotive Artificial Intelligence (AI).
Downstream Procumbent Preference: The report can shed light on customer procumbent behaviour and adoption trends in the Automotive Artificial Intelligence (AI) market. It includes factors influencing customer ' purchasing decisions, preferences for Automotive Artificial Intelligence (AI) product.
Government Policies and Incentives: The research report analyse the impact of government policies and incentives on the Automotive Artificial Intelligence (AI) market. This may include an assessment of regulatory frameworks, subsidies, tax incentives, and other measures aimed at promoting Automotive Artificial Intelligence (AI) market. The report also evaluates the effectiveness of these policies in driving market growth.
Environmental Impact and Sustainability: The research report assess the environmental impact and sustainability aspects of the Automotive Artificial Intelligence (AI) market.
麻豆原创 Forecasts and Future Outlook: Based on the analysis conducted, the research report provide market forecasts and outlook for the Automotive Artificial Intelligence (AI) industry. This includes projections of market size, growth rates, regional trends, and predictions on technological advancements and policy developments.
Recommendations and Opportunities: The report conclude with recommendations for industry stakeholders, policymakers, and investors. It highlights potential opportunities for market players to capitalize on emerging trends, overcome challenges, and contribute to the growth and development of the Automotive Artificial Intelligence (AI) market.
麻豆原创 Segmentation:
Automotive Artificial Intelligence (AI) market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
Segmentation by type
Hardware
Software
Service
Segmentation by application
Passenger Car
Commercial Car
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
NVIDIA
Uber Technologies
Alphabet (Google)
Microsoft
BMW
Xilinx
Didi
Intel
Amazon Web Services
IBM
Toyota Motor Corporation
Audi
Micron
Samsung
Tesla
Hyundai Motor Corporation
Argo AI
SenseTime
Qualcomm
General Motors Company
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Scope of the Report
1.1 麻豆原创 Introduction
1.2 Years Considered
1.3 Research Objectives
1.4 麻豆原创 Research Methodology
1.5 Research Process and Data Source
1.6 Economic Indicators
1.7 Currency Considered
1.8 麻豆原创 Estimation Caveats
2 Executive Summary
2.1 World 麻豆原创 Overview
2.1.1 Global Automotive Artificial Intelligence (AI) 麻豆原创 Size 2019-2030
2.1.2 Automotive Artificial Intelligence (AI) 麻豆原创 Size CAGR by Region 2019 VS 2023 VS 2030
2.2 Automotive Artificial Intelligence (AI) Segment by Type
2.2.1 Hardware
2.2.2 Software
2.2.3 Service
2.3 Automotive Artificial Intelligence (AI) 麻豆原创 Size by Type
2.3.1 Automotive Artificial Intelligence (AI) 麻豆原创 Size CAGR by Type (2019 VS 2023 VS 2030)
2.3.2 Global Automotive Artificial Intelligence (AI) 麻豆原创 Size 麻豆原创 Share by Type (2019-2024)
2.4 Automotive Artificial Intelligence (AI) Segment by Application
2.4.1 Passenger Car
2.4.2 Commercial Car
2.5 Automotive Artificial Intelligence (AI) 麻豆原创 Size by Application
2.5.1 Automotive Artificial Intelligence (AI) 麻豆原创 Size CAGR by Application (2019 VS 2023 VS 2030)
2.5.2 Global Automotive Artificial Intelligence (AI) 麻豆原创 Size 麻豆原创 Share by Application (2019-2024)
3 Automotive Artificial Intelligence (AI) 麻豆原创 Size by Player
3.1 Automotive Artificial Intelligence (AI) 麻豆原创 Size 麻豆原创 Share by Players
3.1.1 Global Automotive Artificial Intelligence (AI) Revenue by Players (2019-2024)
3.1.2 Global Automotive Artificial Intelligence (AI) Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global Automotive Artificial Intelligence (AI) Key Players Head office and Products Offered
3.3 麻豆原创 Concentration Rate Analysis
3.3.1 Competition Landscape Analysis
3.3.2 Concentration Ratio (CR3, CR5 and CR10) & (2022-2024)
3.4 New Products and Potential Entrants
3.5 Mergers & Acquisitions, Expansion
4 Automotive Artificial Intelligence (AI) by Regions
4.1 Automotive Artificial Intelligence (AI) 麻豆原创 Size by Regions (2019-2024)
4.2 Americas Automotive Artificial Intelligence (AI) 麻豆原创 Size Growth (2019-2024)
4.3 APAC Automotive Artificial Intelligence (AI) 麻豆原创 Size Growth (2019-2024)
4.4 Europe Automotive Artificial Intelligence (AI) 麻豆原创 Size Growth (2019-2024)
4.5 Middle East & Africa Automotive Artificial Intelligence (AI) 麻豆原创 Size Growth (2019-2024)
5 Americas
5.1 Americas Automotive Artificial Intelligence (AI) 麻豆原创 Size by Country (2019-2024)
5.2 Americas Automotive Artificial Intelligence (AI) 麻豆原创 Size by Type (2019-2024)
5.3 Americas Automotive Artificial Intelligence (AI) 麻豆原创 Size by Application (2019-2024)
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Brazil
6 APAC
6.1 APAC Automotive Artificial Intelligence (AI) 麻豆原创 Size by Region (2019-2024)
6.2 APAC Automotive Artificial Intelligence (AI) 麻豆原创 Size by Type (2019-2024)
6.3 APAC Automotive Artificial Intelligence (AI) 麻豆原创 Size by Application (2019-2024)
6.4 China
6.5 Japan
6.6 Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
7 Europe
7.1 Europe Automotive Artificial Intelligence (AI) by Country (2019-2024)
7.2 Europe Automotive Artificial Intelligence (AI) 麻豆原创 Size by Type (2019-2024)
7.3 Europe Automotive Artificial Intelligence (AI) 麻豆原创 Size by Application (2019-2024)
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
8 Middle East & Africa
8.1 Middle East & Africa Automotive Artificial Intelligence (AI) by Region (2019-2024)
8.2 Middle East & Africa Automotive Artificial Intelligence (AI) 麻豆原创 Size by Type (2019-2024)
8.3 Middle East & Africa Automotive Artificial Intelligence (AI) 麻豆原创 Size by Application (2019-2024)
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries
9 麻豆原创 Drivers, Challenges and Trends
9.1 麻豆原创 Drivers & Growth Opportunities
9.2 麻豆原创 Challenges & Risks
9.3 Industry Trends
10 Global Automotive Artificial Intelligence (AI) 麻豆原创 Forecast
10.1 Global Automotive Artificial Intelligence (AI) Forecast by Regions (2025-2030)
10.1.1 Global Automotive Artificial Intelligence (AI) Forecast by Regions (2025-2030)
10.1.2 Americas Automotive Artificial Intelligence (AI) Forecast
10.1.3 APAC Automotive Artificial Intelligence (AI) Forecast
10.1.4 Europe Automotive Artificial Intelligence (AI) Forecast
10.1.5 Middle East & Africa Automotive Artificial Intelligence (AI) Forecast
10.2 Americas Automotive Artificial Intelligence (AI) Forecast by Country (2025-2030)
10.2.1 United States Automotive Artificial Intelligence (AI) 麻豆原创 Forecast
10.2.2 Canada Automotive Artificial Intelligence (AI) 麻豆原创 Forecast
10.2.3 Mexico Automotive Artificial Intelligence (AI) 麻豆原创 Forecast
10.2.4 Brazil Automotive Artificial Intelligence (AI) 麻豆原创 Forecast
10.3 APAC Automotive Artificial Intelligence (AI) Forecast by Region (2025-2030)
10.3.1 China Automotive Artificial Intelligence (AI) 麻豆原创 Forecast
10.3.2 Japan Automotive Artificial Intelligence (AI) 麻豆原创 Forecast
10.3.3 Korea Automotive Artificial Intelligence (AI) 麻豆原创 Forecast
10.3.4 Southeast Asia Automotive Artificial Intelligence (AI) 麻豆原创 Forecast
10.3.5 India Automotive Artificial Intelligence (AI) 麻豆原创 Forecast
10.3.6 Australia Automotive Artificial Intelligence (AI) 麻豆原创 Forecast
10.4 Europe Automotive Artificial Intelligence (AI) Forecast by Country (2025-2030)
10.4.1 Germany Automotive Artificial Intelligence (AI) 麻豆原创 Forecast
10.4.2 France Automotive Artificial Intelligence (AI) 麻豆原创 Forecast
10.4.3 UK Automotive Artificial Intelligence (AI) 麻豆原创 Forecast
10.4.4 Italy Automotive Artificial Intelligence (AI) 麻豆原创 Forecast
10.4.5 Russia Automotive Artificial Intelligence (AI) 麻豆原创 Forecast
10.5 Middle East & Africa Automotive Artificial Intelligence (AI) Forecast by Region (2025-2030)
10.5.1 Egypt Automotive Artificial Intelligence (AI) 麻豆原创 Forecast
10.5.2 South Africa Automotive Artificial Intelligence (AI) 麻豆原创 Forecast
10.5.3 Israel Automotive Artificial Intelligence (AI) 麻豆原创 Forecast
10.5.4 Turkey Automotive Artificial Intelligence (AI) 麻豆原创 Forecast
10.5.5 GCC Countries Automotive Artificial Intelligence (AI) 麻豆原创 Forecast
10.6 Global Automotive Artificial Intelligence (AI) Forecast by Type (2025-2030)
10.7 Global Automotive Artificial Intelligence (AI) Forecast by Application (2025-2030)
11 Key Players Analysis
11.1 NVIDIA
11.1.1 NVIDIA Company Information
11.1.2 NVIDIA Automotive Artificial Intelligence (AI) Product Offered
11.1.3 NVIDIA Automotive Artificial Intelligence (AI) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.1.4 NVIDIA Main Business Overview
11.1.5 NVIDIA Latest Developments
11.2 Uber Technologies
11.2.1 Uber Technologies Company Information
11.2.2 Uber Technologies Automotive Artificial Intelligence (AI) Product Offered
11.2.3 Uber Technologies Automotive Artificial Intelligence (AI) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.2.4 Uber Technologies Main Business Overview
11.2.5 Uber Technologies Latest Developments
11.3 Alphabet (Google)
11.3.1 Alphabet (Google) Company Information
11.3.2 Alphabet (Google) Automotive Artificial Intelligence (AI) Product Offered
11.3.3 Alphabet (Google) Automotive Artificial Intelligence (AI) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.3.4 Alphabet (Google) Main Business Overview
11.3.5 Alphabet (Google) Latest Developments
11.4 Microsoft
11.4.1 Microsoft Company Information
11.4.2 Microsoft Automotive Artificial Intelligence (AI) Product Offered
11.4.3 Microsoft Automotive Artificial Intelligence (AI) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.4.4 Microsoft Main Business Overview
11.4.5 Microsoft Latest Developments
11.5 BMW
11.5.1 BMW Company Information
11.5.2 BMW Automotive Artificial Intelligence (AI) Product Offered
11.5.3 BMW Automotive Artificial Intelligence (AI) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.5.4 BMW Main Business Overview
11.5.5 BMW Latest Developments
11.6 Xilinx
11.6.1 Xilinx Company Information
11.6.2 Xilinx Automotive Artificial Intelligence (AI) Product Offered
11.6.3 Xilinx Automotive Artificial Intelligence (AI) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.6.4 Xilinx Main Business Overview
11.6.5 Xilinx Latest Developments
11.7 Didi
11.7.1 Didi Company Information
11.7.2 Didi Automotive Artificial Intelligence (AI) Product Offered
11.7.3 Didi Automotive Artificial Intelligence (AI) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.7.4 Didi Main Business Overview
11.7.5 Didi Latest Developments
11.8 Intel
11.8.1 Intel Company Information
11.8.2 Intel Automotive Artificial Intelligence (AI) Product Offered
11.8.3 Intel Automotive Artificial Intelligence (AI) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.8.4 Intel Main Business Overview
11.8.5 Intel Latest Developments
11.9 Amazon Web Services
11.9.1 Amazon Web Services Company Information
11.9.2 Amazon Web Services Automotive Artificial Intelligence (AI) Product Offered
11.9.3 Amazon Web Services Automotive Artificial Intelligence (AI) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.9.4 Amazon Web Services Main Business Overview
11.9.5 Amazon Web Services Latest Developments
11.10 IBM
11.10.1 IBM Company Information
11.10.2 IBM Automotive Artificial Intelligence (AI) Product Offered
11.10.3 IBM Automotive Artificial Intelligence (AI) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.10.4 IBM Main Business Overview
11.10.5 IBM Latest Developments
11.11 Toyota Motor Corporation
11.11.1 Toyota Motor Corporation Company Information
11.11.2 Toyota Motor Corporation Automotive Artificial Intelligence (AI) Product Offered
11.11.3 Toyota Motor Corporation Automotive Artificial Intelligence (AI) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.11.4 Toyota Motor Corporation Main Business Overview
11.11.5 Toyota Motor Corporation Latest Developments
11.12 Audi
11.12.1 Audi Company Information
11.12.2 Audi Automotive Artificial Intelligence (AI) Product Offered
11.12.3 Audi Automotive Artificial Intelligence (AI) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.12.4 Audi Main Business Overview
11.12.5 Audi Latest Developments
11.13 Micron
11.13.1 Micron Company Information
11.13.2 Micron Automotive Artificial Intelligence (AI) Product Offered
11.13.3 Micron Automotive Artificial Intelligence (AI) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.13.4 Micron Main Business Overview
11.13.5 Micron Latest Developments
11.14 Samsung
11.14.1 Samsung Company Information
11.14.2 Samsung Automotive Artificial Intelligence (AI) Product Offered
11.14.3 Samsung Automotive Artificial Intelligence (AI) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.14.4 Samsung Main Business Overview
11.14.5 Samsung Latest Developments
11.15 Tesla
11.15.1 Tesla Company Information
11.15.2 Tesla Automotive Artificial Intelligence (AI) Product Offered
11.15.3 Tesla Automotive Artificial Intelligence (AI) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.15.4 Tesla Main Business Overview
11.15.5 Tesla Latest Developments
11.16 Hyundai Motor Corporation
11.16.1 Hyundai Motor Corporation Company Information
11.16.2 Hyundai Motor Corporation Automotive Artificial Intelligence (AI) Product Offered
11.16.3 Hyundai Motor Corporation Automotive Artificial Intelligence (AI) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.16.4 Hyundai Motor Corporation Main Business Overview
11.16.5 Hyundai Motor Corporation Latest Developments
11.17 Argo AI
11.17.1 Argo AI Company Information
11.17.2 Argo AI Automotive Artificial Intelligence (AI) Product Offered
11.17.3 Argo AI Automotive Artificial Intelligence (AI) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.17.4 Argo AI Main Business Overview
11.17.5 Argo AI Latest Developments
11.18 SenseTime
11.18.1 SenseTime Company Information
11.18.2 SenseTime Automotive Artificial Intelligence (AI) Product Offered
11.18.3 SenseTime Automotive Artificial Intelligence (AI) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.18.4 SenseTime Main Business Overview
11.18.5 SenseTime Latest Developments
11.19 Qualcomm
11.19.1 Qualcomm Company Information
11.19.2 Qualcomm Automotive Artificial Intelligence (AI) Product Offered
11.19.3 Qualcomm Automotive Artificial Intelligence (AI) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.19.4 Qualcomm Main Business Overview
11.19.5 Qualcomm Latest Developments
11.20 General Motors Company
11.20.1 General Motors Company Company Information
11.20.2 General Motors Company Automotive Artificial Intelligence (AI) Product Offered
11.20.3 General Motors Company Automotive Artificial Intelligence (AI) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.20.4 General Motors Company Main Business Overview
11.20.5 General Motors Company Latest Developments
12 Research Findings and Conclusion
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*If Applicable.