Research Summary
Artificial intelligence for automobiles refers to the integration of AI technologies and techniques in the design, development, and operation of vehicles. This includes the use of AI-based algorithms, sensors, and machine learning models to enhance the safety, performance, and convenience of automobiles. Examples of AI applications in automobiles include driver assistance systems, predictive maintenance, autonomous driving, natural language processing, and computer vision. By leveraging AI technologies, automakers can develop safer, more efficient, and highly personalized vehicles that provide an improved user experience.
According to DIResearch's in-depth investigation and research, the global Artificial Intelligence for Automobiles market size will reach XX US$ Million in 2024, and is expected to reach XX US$ Million in 2030, with a CAGR of XX% (2025-2030). Among them, the China market has changed rapidly in the past few years. The market size in 2024 will be XX US$ Million, accounting for approximately XX% of the world. It is expected to reach XX US$ Million in 2030, and the global share will reach XX%.
The major global manufacturers of Artificial Intelligence for Automobiles include NVIDIA, Uber Technologies, Alphabet (Google), Microsoft, BMW, Xilinx, DiDi Global Inc, Intel, Amazon Web Services, IBM, Toyota Motor Corporation, Audi, Micron, Samsung, Tesla, Hyundai Motor Corporation, Argo AI, Sense Time, Qualcomm, General Motors Company etc. The global players competition landscape in this report is divided into three tiers. The first tiers is the global leading enterprise, which occupies a major market share, is in a leading position in the industry, has strong competitiveness and influence, and has a large revenue scale; the second tiers has a certain share and popularity in the market, actively follows the industry leaders in product, service or technological innovation, and has a medium revenue scale; the third tiers has a smaller share in the market, has a lower brand awareness, mainly focuses on the local market, and has a relatively small revenue scale.
This report studies the market size, price trends and future development prospects of Artificial Intelligence for Automobiles. Focus on analysing the market share, product portfolio, revenue and gross profit margin of global major manufacturers, as well as the market status and trends of different product types and applications in the global Artificial Intelligence for Automobiles market. The report data covers historical data from 2019 to 2023, base year in 2024 and forecast data from 2025 to 2030.
The regions and countries in the report include North America, Europe, China, APAC (excl. China), Latin America and Middle East and Africa, covering the Artificial Intelligence for Automobiles market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of Artificial Intelligence for Automobiles industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.
The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.
Global Key Manufacturers of Artificial Intelligence for Automobiles Include:
NVIDIA
Uber Technologies
Alphabet (Google)
Microsoft
BMW
Xilinx
DiDi Global Inc
Intel
Amazon Web Services
IBM
Toyota Motor Corporation
Audi
Micron
Samsung
Tesla
Hyundai Motor Corporation
Argo AI
Sense Time
Qualcomm
General Motors Company
Artificial Intelligence for Automobiles Product Segment Include:
Hardware
Software
Service
Artificial Intelligence for Automobiles Product Application Include:
Passenger Car
Commercial Vehicle
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trends
Chapter 2: Global Artificial Intelligence for Automobiles Industry PESTEL Analysis
Chapter 3: Global Artificial Intelligence for Automobiles Industry Porter's Five Forces Analysis
Chapter 4: Global Artificial Intelligence for Automobiles Major Regional Market Size and Forecast Analysis
Chapter 5: Global Artificial Intelligence for Automobiles Market Size and Forecast by Type and Application Analysis
Chapter 6: North America Artificial Intelligence for Automobiles Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 7: Europe Artificial Intelligence for Automobiles Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 8: China Artificial Intelligence for Automobiles Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 9: APAC (Excl. China) Artificial Intelligence for Automobiles Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 10: Latin America Artificial Intelligence for Automobiles Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 11: Middle East and Africa Artificial Intelligence for Automobiles Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 12: Global Artificial Intelligence for Automobiles Competitive Analysis of Key Manufacturers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 13: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 14: Industrial Chain Analysis, Include Raw Material Suppliers, Distributors and Customers
Chapter 15: Research Findings and Conclusion
Chapter 16: Methodology and Data Sources
Table of Contents 1 Artificial Intelligence for Automobiles Market Overview 1.1 Product Definition and Statistical Scope 1.2 Artificial Intelligence for Automobiles Product by Type 1.2.1 Global Artificial Intelligence for Automobiles Market Size by Type, 2023 VS 2024 VS 2030 1.2.2 Hardware 1.2.3 Software 1.2.4 Service 1.3 Artificial Intelligence for Automobiles Product by Application 1.3.1 Global Artificial Intelligence for Automobiles Market Size by Application, 2023 VS 2024 VS 2030 1.3.2 Passenger Car 1.3.3 Commercial Vehicle 1.4 Global Artificial Intelligence for Automobiles Market Revenue Analysis (2019-2030) 1.5 Artificial Intelligence for Automobiles Market Development Status and Trends 1.5.1 Artificial Intelligence for Automobiles Industry Development Status Analysis 1.5.2 Artificial Intelligence for Automobiles Industry Development Trends Analysis 2 Artificial Intelligence for Automobiles Market PESTEL Analysis 2.1 Political Factors Analysis 2.2 Economic Factors Analysis 2.3 Social Factors Analysis 2.4 Technological Factors Analysis 2.5 Environmental Factors Analysis 2.6 Legal Factors Analysis 3 Artificial Intelligence for Automobiles Market Porter's Five Forces Analysis 3.1 Competitive Rivalry 3.2 Threat of New Entrants 3.3 Bargaining Power of Suppliers 3.4 Bargaining Power of Buyers 3.5 Threat of Substitutes 4 Global Artificial Intelligence for Automobiles Market Analysis by Regions 4.1 Artificial Intelligence for Automobiles Overall Market: 2023 VS 2024 VS 2030 4.2 Global Artificial Intelligence for Automobiles Revenue and Forecast Analysis (2019-2030) 4.2.1 Global Artificial Intelligence for Automobiles Revenue and Market Share by Region (2019-2024) 4.2.2 Global Artificial Intelligence for Automobiles Revenue Forecast by Region (2025-2030) 5 Global Artificial Intelligence for Automobiles Market Size by Type and Application 5.1 Global Artificial Intelligence for Automobiles Market Size by Type 5.2 Global Artificial Intelligence for Automobiles Market Size by Application 6 North America 6.1 North America Artificial Intelligence for Automobiles Market Size and Growth Rate Analysis (2019-2030) 6.2 North America Key Manufacturers Analysis 6.3 North America Artificial Intelligence for Automobiles Market Size by Type 6.4 North America Artificial Intelligence for Automobiles Market Size by Application 6.5 North America Artificial Intelligence for Automobiles Market Size by Country 6.5.1 US 6.5.2 Canada 7 Europe 7.1 Europe Artificial Intelligence for Automobiles Market Size and Growth Rate Analysis (2019-2030) 7.2 Europe Key Manufacturers Analysis 7.3 Europe Artificial Intelligence for Automobiles Market Size by Type 7.4 Europe Artificial Intelligence for Automobiles Market Size by Application 7.5 Europe Artificial Intelligence for Automobiles Market Size by Country 7.5.1 Germany 7.5.2 France 7.5.3 United Kingdom 7.5.4 Italy 7.5.5 Spain 7.5.6 Benelux 8 China 8.1 China Artificial Intelligence for Automobiles Market Size and Growth Rate Analysis (2019-2030) 8.2 China Key Manufacturers Analysis 8.3 China Artificial Intelligence for Automobiles Market Size by Type 8.4 China Artificial Intelligence for Automobiles Market Size by Application 9 APAC (excl. China) 9.1 APAC (excl. China) Artificial Intelligence for Automobiles Market Size and Growth Rate Analysis (2019-2030) 9.2 APAC (excl. China) Key Manufacturers Analysis 9.3 APAC (excl. China) Artificial Intelligence for Automobiles Market Size by Type 9.4 APAC (excl. China) Artificial Intelligence for Automobiles Market Size by Application 9.5 APAC (excl. China) Artificial Intelligence for Automobiles Market Size by Country 9.5.1 Japan 9.5.2 South Korea 9.5.3 India 9.5.4 Australia 9.5.5 Indonesia 9.5.6 Vietnam 9.5.7 Malaysia 9.5.8 Thailand 10 Latin America 10.1 Latin America Artificial Intelligence for Automobiles Market Size and Growth Rate Analysis (2019-2030) 10.2 Latin America Key Manufacturers Analysis 10.3 Latin America Artificial Intelligence for Automobiles Market Size by Type 10.4 Latin America Artificial Intelligence for Automobiles Market Size by Application 10.5 Latin America Artificial Intelligence for Automobiles Market Size by Country 10.5.1 Mecixo 10.5.2 Brazil 11 Middle East & Africa 11.1 Middle East & Africa Artificial Intelligence for Automobiles Market Size and Growth Rate Analysis (2019-2030) 11.2 Middle East & Africa Key Manufacturers Analysis 11.3 Middle East & Africa Artificial Intelligence for Automobiles Market Size by Type 11.4 Middle East & Africa Artificial Intelligence for Automobiles Market Size by Application 11.5 Middle East & Africa Artificial Intelligence for Automobiles Market Size by Country 11.5.1 Saudi Arabia 11.5.2 South Africa 12 Market Competition by Manufacturers 12.1 Global Artificial Intelligence for Automobiles Market Revenue by Key Manufacturers (2020-2024) 12.2 Artificial Intelligence for Automobiles Competitive Landscape Analysis and Market Dynamic 12.2.1 Artificial Intelligence for Automobiles Competitive Landscape Analysis 12.2.2 Global Key Manufacturers Headquarter and Key Area Sales 12.2.3 Market Dynamic 13 Key Companies Analysis 13.1 NVIDIA 13.1.1 NVIDIA Basic Company Profile (Employees, Areas Service, Competitors and Contact Information) 13.1.2 NVIDIA Artificial Intelligence for Automobiles Product Portfolio 13.1.3 NVIDIA Artificial Intelligence for Automobiles Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024) 13.2 Uber Technologies 13.2.1 Uber Technologies Basic Company Profile (Employees, Areas Service, Competitors and Contact Information) 13.2.2 Uber Technologies Artificial Intelligence for Automobiles Product Portfolio 13.2.3 Uber Technologies Artificial Intelligence for Automobiles Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024) 13.3 Alphabet (Google) 13.3.1 Alphabet (Google) Basic Company Profile (Employees, Areas Service, Competitors and Contact Information) 13.3.2 Alphabet (Google) Artificial Intelligence for Automobiles Product Portfolio 13.3.3 Alphabet (Google) Artificial Intelligence for Automobiles Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024) 13.4 Microsoft 13.4.1 Microsoft Basic Company Profile (Employees, Areas Service, Competitors and Contact Information) 13.4.2 Microsoft Artificial Intelligence for Automobiles Product Portfolio 13.4.3 Microsoft Artificial Intelligence for Automobiles Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024) 13.5 BMW 13.5.1 BMW Basic Company Profile (Employees, Areas Service, Competitors and Contact Information) 13.5.2 BMW Artificial Intelligence for Automobiles Product Portfolio 13.5.3 BMW Artificial Intelligence for Automobiles Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024) 13.6 Xilinx 13.6.1 Xilinx Basic Company Profile (Employees, Areas Service, Competitors and Contact Information) 13.6.2 Xilinx Artificial Intelligence for Automobiles Product Portfolio 13.6.3 Xilinx Artificial Intelligence for Automobiles Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024) 13.7 DiDi Global Inc 13.7.1 DiDi Global Inc Basic Company Profile (Employees, Areas Service, Competitors and Contact Information) 13.7.2 DiDi Global Inc Artificial Intelligence for Automobiles Product Portfolio 13.7.3 DiDi Global Inc Artificial Intelligence for Automobiles Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024) 13.8 Intel 13.8.1 Intel Basic Company Profile (Employees, Areas Service, Competitors and Contact Information) 13.8.2 Intel Artificial Intelligence for Automobiles Product Portfolio 13.8.3 Intel Artificial Intelligence for Automobiles Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024) 13.9 Amazon Web Services 13.9.1 Amazon Web Services Basic Company Profile (Employees, Areas Service, Competitors and Contact Information) 13.9.2 Amazon Web Services Artificial Intelligence for Automobiles Product Portfolio 13.9.3 Amazon Web Services Artificial Intelligence for Automobiles Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024) 13.10 IBM 13.10.1 IBM Basic Company Profile (Employees, Areas Service, Competitors and Contact Information) 13.10.2 IBM Artificial Intelligence for Automobiles Product Portfolio 13.10.3 IBM Artificial Intelligence for Automobiles Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024) 13.11 Toyota Motor Corporation 13.11.1 Toyota Motor Corporation Basic Company Profile (Employees, Areas Service, Competitors and Contact Information) 13.11.2 Toyota Motor Corporation Artificial Intelligence for Automobiles Product Portfolio 13.11.3 Toyota Motor Corporation Artificial Intelligence for Automobiles Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024) 13.12 Audi 13.12.1 Audi Basic Company Profile (Employees, Areas Service, Competitors and Contact Information) 13.12.2 Audi Artificial Intelligence for Automobiles Product Portfolio 13.12.3 Audi Artificial Intelligence for Automobiles Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024) 13.13 Micron 13.13.1 Micron Basic Company Profile (Employees, Areas Service, Competitors and Contact Information) 13.13.2 Micron Artificial Intelligence for Automobiles Product Portfolio 13.13.3 Micron Artificial Intelligence for Automobiles Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024) 13.14 Samsung 13.14.1 Samsung Basic Company Profile (Employees, Areas Service, Competitors and Contact Information) 13.14.2 Samsung Artificial Intelligence for Automobiles Product Portfolio 13.14.3 Samsung Artificial Intelligence for Automobiles Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024) 13.15 Tesla 13.15.1 Tesla Basic Company Profile (Employees, Areas Service, Competitors and Contact Information) 13.15.2 Tesla Artificial Intelligence for Automobiles Product Portfolio 13.15.3 Tesla Artificial Intelligence for Automobiles Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024) 13.16 Hyundai Motor Corporation 13.16.1 Hyundai Motor Corporation Basic Company Profile (Employees, Areas Service, Competitors and Contact Information) 13.16.2 Hyundai Motor Corporation Artificial Intelligence for Automobiles Product Portfolio 13.16.3 Hyundai Motor Corporation Artificial Intelligence for Automobiles Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024) 13.17 Argo AI 13.17.1 Argo AI Basic Company Profile (Employees, Areas Service, Competitors and Contact Information) 13.17.2 Argo AI Artificial Intelligence for Automobiles Product Portfolio 13.17.3 Argo AI Artificial Intelligence for Automobiles Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024) 13.18 Sense Time 13.18.1 Sense Time Basic Company Profile (Employees, Areas Service, Competitors and Contact Information) 13.18.2 Sense Time Artificial Intelligence for Automobiles Product Portfolio 13.18.3 Sense Time Artificial Intelligence for Automobiles Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024) 13.19 Qualcomm 13.19.1 Qualcomm Basic Company Profile (Employees, Areas Service, Competitors and Contact Information) 13.19.2 Qualcomm Artificial Intelligence for Automobiles Product Portfolio 13.19.3 Qualcomm Artificial Intelligence for Automobiles Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024) 13.20 General Motors Company 13.20.1 General Motors Company Basic Company Profile (Employees, Areas Service, Competitors and Contact Information) 13.20.2 General Motors Company Artificial Intelligence for Automobiles Product Portfolio 13.20.3 General Motors Company Artificial Intelligence for Automobiles Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024) 14 Industry Chain Analysis 14.1 Artificial Intelligence for Automobiles Industry Chain Analysis 14.2 Artificial Intelligence for Automobiles Industry Raw Material and Suppliers Analysis 14.2.1 Upstream Key Raw Material Supply Analysis 14.2.2 Raw Material Suppliers and Contact Information 14.3 Artificial Intelligence for Automobiles Typical Downstream Customers 14.4 Artificial Intelligence for Automobiles Sales Channel Analysis 15 Research Findings and Conclusion 16 Methodology and Data Source 16.1 Methodology/Research Approach 16.2 Research Scope 16.3 Benchmarks and Assumptions 16.4 Date Source 16.4.1 Primary Sources 16.4.2 Secondary Sources 16.5 Data Cross Validation 16.6 Disclaimer
Publisher: DIResearch
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