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Automotive AI-Global Market Insights and Sales Trends 2025
Synopsis
The global Automotive AI market size is expected to reach US$ million by 2029, growing at a CAGR of % from 2023 to 2029. The market is mainly driven by the significant applications of Automotive AI in various end use industries. The expanding demands from the Passenger Cars and Commercial Vehicles, are propelling Automotive AI market. Automatic Drive, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the ADAS segment is estimated at % CAGR for the next seven-year period.
Automotive is a key driver of this industry. According to data from the World Automobile Organization (OICA), global automobile production and sales in 2017 reached their peak in the past 10 years, at 97.3 million and 95.89 million respectively. In 2018, the global economic expansion ended, and the global auto market declined as a whole. In 2022, there will wear units 81.6 million vehicles in the world. At present, more than 90% of the world's automobiles are concentrated in the three continents of Asia, Europe and North America, of which Asia automobile production accounts for 56% of the world, Europe accounts for 20%, and North America accounts for 16%. The world major automobile producing countries include China, the United States, Japan, South Korea, Germany, India, Mexico, and other countries; among them, China is the largest automobile producing country in the world, accounting for about 32%. Japan is the world's largest car exporter, exporting more than 3.5 million vehicles in 2022.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Automotive AI, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Automotive AI market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Automotive AI market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Automotive AI sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Automotive AI covered in this report include Tesla Motors, Audi, Ford, Toyota, Google, Volvo, Nissan, Baidu and Apple, etc.
The global Automotive AI market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Tesla Motors
Audi
Ford
Toyota
Google
Volvo
Nissan
Baidu
Apple
Daimler
Bosch
Microsoft
IBM
Intel
Global Automotive AI market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Automotive AI market, Segment by Type:
Automatic Drive
ADAS
Global Automotive AI market, by Application
Passenger Cars
Commercial Vehicles
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: 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 Three: 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 Four: Detailed analysis of Automotive AI companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
The global Automotive AI market size is expected to reach US$ million by 2029, growing at a CAGR of % from 2023 to 2029. The market is mainly driven by the significant applications of Automotive AI in various end use industries. The expanding demands from the Passenger Cars and Commercial Vehicles, are propelling Automotive AI market. Automatic Drive, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the ADAS segment is estimated at % CAGR for the next seven-year period.
Automotive is a key driver of this industry. According to data from the World Automobile Organization (OICA), global automobile production and sales in 2017 reached their peak in the past 10 years, at 97.3 million and 95.89 million respectively. In 2018, the global economic expansion ended, and the global auto market declined as a whole. In 2022, there will wear units 81.6 million vehicles in the world. At present, more than 90% of the world's automobiles are concentrated in the three continents of Asia, Europe and North America, of which Asia automobile production accounts for 56% of the world, Europe accounts for 20%, and North America accounts for 16%. The world major automobile producing countries include China, the United States, Japan, South Korea, Germany, India, Mexico, and other countries; among them, China is the largest automobile producing country in the world, accounting for about 32%. Japan is the world's largest car exporter, exporting more than 3.5 million vehicles in 2022.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Automotive AI, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Automotive AI market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Automotive AI market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Automotive AI sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Automotive AI covered in this report include Tesla Motors, Audi, Ford, Toyota, Google, Volvo, Nissan, Baidu and Apple, etc.
The global Automotive AI market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Tesla Motors
Audi
Ford
Toyota
Volvo
Nissan
Baidu
Apple
Daimler
Bosch
Microsoft
IBM
Intel
Global Automotive AI market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Automotive AI market, Segment by Type:
Automatic Drive
ADAS
Global Automotive AI market, by Application
Passenger Cars
Commercial Vehicles
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: 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 Three: 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 Four: Detailed analysis of Automotive AI companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
Index1 Market Overview of Automotive AI
1.1 Automotive AI Market Overview
1.1.1 Automotive AI Product Scope
1.1.2 Automotive AI Market Status and Outlook
1.2 Global Automotive AI Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Automotive AI Market Size by Region (2018-2029)
1.4 Global Automotive AI Historic Market Size by Region (2018-2023)
1.5 Global Automotive AI Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Automotive AI Market Size (2018-2029)
1.6.1 North America Automotive AI Market Size (2018-2029)
1.6.2 Europe Automotive AI Market Size (2018-2029)
1.6.3 Asia-Pacific Automotive AI Market Size (2018-2029)
1.6.4 Latin America Automotive AI Market Size (2018-2029)
1.6.5 Middle East & Africa Automotive AI Market Size (2018-2029)
2 Automotive AI Market by Type
2.1 Introduction
2.1.1 Automatic Drive
2.1.2 ADAS
2.2 Global Automotive AI Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Automotive AI Historic Market Size by Type (2018-2023)
2.2.2 Global Automotive AI Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Automotive AI Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Automotive AI Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Automotive AI Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Automotive AI Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Automotive AI Revenue Breakdown by Type (2018-2029)
3 Automotive AI Market Overview by Application
3.1 Introduction
3.1.1 Passenger Cars
3.1.2 Commercial Vehicles
3.2 Global Automotive AI Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Automotive AI Historic Market Size by Application (2018-2023)
3.2.2 Global Automotive AI Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Automotive AI Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Automotive AI Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Automotive AI Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Automotive AI Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Automotive AI Revenue Breakdown by Application (2018-2029)
4 Automotive AI Competition Analysis by Players
4.1 Global Automotive AI Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in Automotive AI as of 2022)
4.3 Date of Key Players Enter into Automotive AI Market
4.4 Global Top Players Automotive AI Headquarters and Area Served
4.5 Key Players Automotive AI Product Solution and Service
4.6 Competitive Status
4.6.1 Automotive AI Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 Tesla Motors
5.1.1 Tesla Motors Profile
5.1.2 Tesla Motors Main Business
5.1.3 Tesla Motors Automotive AI Products, Services and Solutions
5.1.4 Tesla Motors Automotive AI Revenue (US$ Million) & (2018-2023)
5.1.5 Tesla Motors Recent Developments
5.2 Audi
5.2.1 Audi Profile
5.2.2 Audi Main Business
5.2.3 Audi Automotive AI Products, Services and Solutions
5.2.4 Audi Automotive AI Revenue (US$ Million) & (2018-2023)
5.2.5 Audi Recent Developments
5.3 Ford
5.3.1 Ford Profile
5.3.2 Ford Main Business
5.3.3 Ford Automotive AI Products, Services and Solutions
5.3.4 Ford Automotive AI Revenue (US$ Million) & (2018-2023)
5.3.5 Toyota Recent Developments
5.4 Toyota
5.4.1 Toyota Profile
5.4.2 Toyota Main Business
5.4.3 Toyota Automotive AI Products, Services and Solutions
5.4.4 Toyota Automotive AI Revenue (US$ Million) & (2018-2023)
5.4.5 Toyota Recent Developments
5.5 Google
5.5.1 Google Profile
5.5.2 Google Main Business
5.5.3 Google Automotive AI Products, Services and Solutions
5.5.4 Google Automotive AI Revenue (US$ Million) & (2018-2023)
5.5.5 Google Recent Developments
5.6 Volvo
5.6.1 Volvo Profile
5.6.2 Volvo Main Business
5.6.3 Volvo Automotive AI Products, Services and Solutions
5.6.4 Volvo Automotive AI Revenue (US$ Million) & (2018-2023)
5.6.5 Volvo Recent Developments
5.7 Nissan
5.7.1 Nissan Profile
5.7.2 Nissan Main Business
5.7.3 Nissan Automotive AI Products, Services and Solutions
5.7.4 Nissan Automotive AI Revenue (US$ Million) & (2018-2023)
5.7.5 Nissan Recent Developments
5.8 Baidu
5.8.1 Baidu Profile
5.8.2 Baidu Main Business
5.8.3 Baidu Automotive AI Products, Services and Solutions
5.8.4 Baidu Automotive AI Revenue (US$ Million) & (2018-2023)
5.8.5 Baidu Recent Developments
5.9 Apple
5.9.1 Apple Profile
5.9.2 Apple Main Business
5.9.3 Apple Automotive AI Products, Services and Solutions
5.9.4 Apple Automotive AI Revenue (US$ Million) & (2018-2023)
5.9.5 Apple Recent Developments
5.10 Daimler
5.10.1 Daimler Profile
5.10.2 Daimler Main Business
5.10.3 Daimler Automotive AI Products, Services and Solutions
5.10.4 Daimler Automotive AI Revenue (US$ Million) & (2018-2023)
5.10.5 Daimler Recent Developments
5.11 Bosch
5.11.1 Bosch Profile
5.11.2 Bosch Main Business
5.11.3 Bosch Automotive AI Products, Services and Solutions
5.11.4 Bosch Automotive AI Revenue (US$ Million) & (2018-2023)
5.11.5 Bosch Recent Developments
5.12 Microsoft
5.12.1 Microsoft Profile
5.12.2 Microsoft Main Business
5.12.3 Microsoft Automotive AI Products, Services and Solutions
5.12.4 Microsoft Automotive AI Revenue (US$ Million) & (2018-2023)
5.12.5 Microsoft Recent Developments
5.13 IBM
5.13.1 IBM Profile
5.13.2 IBM Main Business
5.13.3 IBM Automotive AI Products, Services and Solutions
5.13.4 IBM Automotive AI Revenue (US$ Million) & (2018-2023)
5.13.5 IBM Recent Developments
5.14 Intel
5.14.1 Intel Profile
5.14.2 Intel Main Business
5.14.3 Intel Automotive AI Products, Services and Solutions
5.14.4 Intel Automotive AI Revenue (US$ Million) & (2018-2023)
5.14.5 Intel Recent Developments
6 North America
6.1 North America Automotive AI Market Size by Country (2018-2029)
6.2 United States
6.3 Canada
7 Europe
7.1 Europe Automotive AI Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific Automotive AI Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America Automotive AI Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa Automotive AI Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Automotive AI Market Dynamics
11.1 Automotive AI Industry Trends
11.2 Automotive AI Market Drivers
11.3 Automotive AI Market Challenges
11.4 Automotive AI Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List
Published By : QY Research
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