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Global Artificial Intelligence (AI) in Automotive Market Research Report 2024
Synopsis
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.
The global Artificial Intelligence (AI) in Automotive market was valued at US$ 2799.8 million in 2023 and is anticipated to reach US$ 3607.5 million by 2030, witnessing a CAGR of 3.6% during the forecast period 2024-2030.
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.
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence (AI) in Automotive, 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 (AI) in Automotive.
Report Scope
The Artificial Intelligence (AI) in Automotive market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Artificial Intelligence (AI) in Automotive market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Artificial Intelligence (AI) in Automotive companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Alphabet (Google)
IBM
Intel
Samsung
Microsoft
Amazon Web Services
Qualcomm
Micron
Tesla
Toyota Motor Corporation
Uber Technologies
Volvo Corporation
Xilinx
SoundHound
Audi
BMW
Daimler
Didi Chuxing
Ford Motor Company
General Motors Company
Harman Industrial Industries
Honda Motor
Hyundai Motor Corporation
Segment by Type
Computer Vision
Context Awareness
Deep Learning
Machine Learning
Natural Language Processing (NLP)
Segment by Application
Human–Machine Interface (HMI)
Semi-Autonomous Vehicle
Autonomous Vehicle
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. 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 2: Introduces executive summary of global market size, regional market size, 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 3: Detailed analysis of Artificial Intelligence (AI) in Automotive companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: 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 12: The main points and conclusions of the report.
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.
The global Artificial Intelligence (AI) in Automotive market was valued at US$ 2799.8 million in 2023 and is anticipated to reach US$ 3607.5 million by 2030, witnessing a CAGR of 3.6% during the forecast period 2024-2030.
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.
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence (AI) in Automotive, 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 (AI) in Automotive.
Report Scope
The Artificial Intelligence (AI) in Automotive market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Artificial Intelligence (AI) in Automotive market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Artificial Intelligence (AI) in Automotive companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Alphabet (Google)
IBM
Intel
Samsung
Microsoft
Amazon Web Services
Qualcomm
Micron
Tesla
Toyota Motor Corporation
Uber Technologies
Volvo Corporation
Xilinx
SoundHound
Audi
BMW
Daimler
Didi Chuxing
Ford Motor Company
General Motors Company
Harman Industrial Industries
Honda Motor
Hyundai Motor Corporation
Segment by Type
Computer Vision
Context Awareness
Deep Learning
Machine Learning
Natural Language Processing (NLP)
Segment by Application
Human–Machine Interface (HMI)
Semi-Autonomous Vehicle
Autonomous Vehicle
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. 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 2: Introduces executive summary of global market size, regional market size, 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 3: Detailed analysis of Artificial Intelligence (AI) in Automotive companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: 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 12: The main points and conclusions of the report.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Artificial Intelligence (AI) in Automotive Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Computer Vision
1.2.3 Context Awareness
1.2.4 Deep Learning
1.2.5 Machine Learning
1.2.6 Natural Language Processing (NLP)
1.3 Market by Application
1.3.1 Global Artificial Intelligence (AI) in Automotive Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Human–Machine Interface (HMI)
1.3.3 Semi-Autonomous Vehicle
1.3.4 Autonomous Vehicle
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence (AI) in Automotive Market Perspective (2019-2030)
2.2 Artificial Intelligence (AI) in Automotive Growth Trends by Region
2.2.1 Global Artificial Intelligence (AI) in Automotive Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Artificial Intelligence (AI) in Automotive Historic Market Size by Region (2019-2024)
2.2.3 Artificial Intelligence (AI) in Automotive Forecasted Market Size by Region (2025-2030)
2.3 Artificial Intelligence (AI) in Automotive Market Dynamics
2.3.1 Artificial Intelligence (AI) in Automotive Industry Trends
2.3.2 Artificial Intelligence (AI) in Automotive Market Drivers
2.3.3 Artificial Intelligence (AI) in Automotive Market Challenges
2.3.4 Artificial Intelligence (AI) in Automotive Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Artificial Intelligence (AI) in Automotive Players by Revenue
3.1.1 Global Top Artificial Intelligence (AI) in Automotive Players by Revenue (2019-2024)
3.1.2 Global Artificial Intelligence (AI) in Automotive Revenue Market Share by Players (2019-2024)
3.2 Global Artificial Intelligence (AI) in Automotive Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Artificial Intelligence (AI) in Automotive Revenue
3.4 Global Artificial Intelligence (AI) in Automotive Market Concentration Ratio
3.4.1 Global Artificial Intelligence (AI) in Automotive Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence (AI) in Automotive Revenue in 2023
3.5 Artificial Intelligence (AI) in Automotive Key Players Head office and Area Served
3.6 Key Players Artificial Intelligence (AI) in Automotive Product Solution and Service
3.7 Date of Enter into Artificial Intelligence (AI) in Automotive Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence (AI) in Automotive Breakdown Data by Type
4.1 Global Artificial Intelligence (AI) in Automotive Historic Market Size by Type (2019-2024)
4.2 Global Artificial Intelligence (AI) in Automotive Forecasted Market Size by Type (2025-2030)
5 Artificial Intelligence (AI) in Automotive Breakdown Data by Application
5.1 Global Artificial Intelligence (AI) in Automotive Historic Market Size by Application (2019-2024)
5.2 Global Artificial Intelligence (AI) in Automotive Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Artificial Intelligence (AI) in Automotive Market Size (2019-2030)
6.2 North America Artificial Intelligence (AI) in Automotive Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Artificial Intelligence (AI) in Automotive Market Size by Country (2019-2024)
6.4 North America Artificial Intelligence (AI) in Automotive Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial Intelligence (AI) in Automotive Market Size (2019-2030)
7.2 Europe Artificial Intelligence (AI) in Automotive Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Artificial Intelligence (AI) in Automotive Market Size by Country (2019-2024)
7.4 Europe Artificial Intelligence (AI) in Automotive Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Artificial Intelligence (AI) in Automotive Market Size (2019-2030)
8.2 Asia-Pacific Artificial Intelligence (AI) in Automotive Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Artificial Intelligence (AI) in Automotive Market Size by Region (2019-2024)
8.4 Asia-Pacific Artificial Intelligence (AI) in Automotive Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Artificial Intelligence (AI) in Automotive Market Size (2019-2030)
9.2 Latin America Artificial Intelligence (AI) in Automotive Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Artificial Intelligence (AI) in Automotive Market Size by Country (2019-2024)
9.4 Latin America Artificial Intelligence (AI) in Automotive Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence (AI) in Automotive Market Size (2019-2030)
10.2 Middle East & Africa Artificial Intelligence (AI) in Automotive Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Artificial Intelligence (AI) in Automotive Market Size by Country (2019-2024)
10.4 Middle East & Africa Artificial Intelligence (AI) in Automotive Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Alphabet (Google)
11.1.1 Alphabet (Google) Company Detail
11.1.2 Alphabet (Google) Business Overview
11.1.3 Alphabet (Google) Artificial Intelligence (AI) in Automotive Introduction
11.1.4 Alphabet (Google) Revenue in Artificial Intelligence (AI) in Automotive Business (2019-2024)
11.1.5 Alphabet (Google) Recent Development
11.2 IBM
11.2.1 IBM Company Detail
11.2.2 IBM Business Overview
11.2.3 IBM Artificial Intelligence (AI) in Automotive Introduction
11.2.4 IBM Revenue in Artificial Intelligence (AI) in Automotive Business (2019-2024)
11.2.5 IBM Recent Development
11.3 Intel
11.3.1 Intel Company Detail
11.3.2 Intel Business Overview
11.3.3 Intel Artificial Intelligence (AI) in Automotive Introduction
11.3.4 Intel Revenue in Artificial Intelligence (AI) in Automotive Business (2019-2024)
11.3.5 Intel Recent Development
11.4 Samsung
11.4.1 Samsung Company Detail
11.4.2 Samsung Business Overview
11.4.3 Samsung Artificial Intelligence (AI) in Automotive Introduction
11.4.4 Samsung Revenue in Artificial Intelligence (AI) in Automotive Business (2019-2024)
11.4.5 Samsung Recent Development
11.5 Microsoft
11.5.1 Microsoft Company Detail
11.5.2 Microsoft Business Overview
11.5.3 Microsoft Artificial Intelligence (AI) in Automotive Introduction
11.5.4 Microsoft Revenue in Artificial Intelligence (AI) in Automotive Business (2019-2024)
11.5.5 Microsoft Recent Development
11.6 Amazon Web Services
11.6.1 Amazon Web Services Company Detail
11.6.2 Amazon Web Services Business Overview
11.6.3 Amazon Web Services Artificial Intelligence (AI) in Automotive Introduction
11.6.4 Amazon Web Services Revenue in Artificial Intelligence (AI) in Automotive Business (2019-2024)
11.6.5 Amazon Web Services Recent Development
11.7 Qualcomm
11.7.1 Qualcomm Company Detail
11.7.2 Qualcomm Business Overview
11.7.3 Qualcomm Artificial Intelligence (AI) in Automotive Introduction
11.7.4 Qualcomm Revenue in Artificial Intelligence (AI) in Automotive Business (2019-2024)
11.7.5 Qualcomm Recent Development
11.8 Micron
11.8.1 Micron Company Detail
11.8.2 Micron Business Overview
11.8.3 Micron Artificial Intelligence (AI) in Automotive Introduction
11.8.4 Micron Revenue in Artificial Intelligence (AI) in Automotive Business (2019-2024)
11.8.5 Micron Recent Development
11.9 Tesla
11.9.1 Tesla Company Detail
11.9.2 Tesla Business Overview
11.9.3 Tesla Artificial Intelligence (AI) in Automotive Introduction
11.9.4 Tesla Revenue in Artificial Intelligence (AI) in Automotive Business (2019-2024)
11.9.5 Tesla Recent Development
11.10 Toyota Motor Corporation
11.10.1 Toyota Motor Corporation Company Detail
11.10.2 Toyota Motor Corporation Business Overview
11.10.3 Toyota Motor Corporation Artificial Intelligence (AI) in Automotive Introduction
11.10.4 Toyota Motor Corporation Revenue in Artificial Intelligence (AI) in Automotive Business (2019-2024)
11.10.5 Toyota Motor Corporation Recent Development
11.11 Uber Technologies
11.11.1 Uber Technologies Company Detail
11.11.2 Uber Technologies Business Overview
11.11.3 Uber Technologies Artificial Intelligence (AI) in Automotive Introduction
11.11.4 Uber Technologies Revenue in Artificial Intelligence (AI) in Automotive Business (2019-2024)
11.11.5 Uber Technologies Recent Development
11.12 Volvo Corporation
11.12.1 Volvo Corporation Company Detail
11.12.2 Volvo Corporation Business Overview
11.12.3 Volvo Corporation Artificial Intelligence (AI) in Automotive Introduction
11.12.4 Volvo Corporation Revenue in Artificial Intelligence (AI) in Automotive Business (2019-2024)
11.12.5 Volvo Corporation Recent Development
11.13 Xilinx
11.13.1 Xilinx Company Detail
11.13.2 Xilinx Business Overview
11.13.3 Xilinx Artificial Intelligence (AI) in Automotive Introduction
11.13.4 Xilinx Revenue in Artificial Intelligence (AI) in Automotive Business (2019-2024)
11.13.5 Xilinx Recent Development
11.14 SoundHound
11.14.1 SoundHound Company Detail
11.14.2 SoundHound Business Overview
11.14.3 SoundHound Artificial Intelligence (AI) in Automotive Introduction
11.14.4 SoundHound Revenue in Artificial Intelligence (AI) in Automotive Business (2019-2024)
11.14.5 SoundHound Recent Development
11.15 Audi
11.15.1 Audi Company Detail
11.15.2 Audi Business Overview
11.15.3 Audi Artificial Intelligence (AI) in Automotive Introduction
11.15.4 Audi Revenue in Artificial Intelligence (AI) in Automotive Business (2019-2024)
11.15.5 Audi Recent Development
11.16 BMW
11.16.1 BMW Company Detail
11.16.2 BMW Business Overview
11.16.3 BMW Artificial Intelligence (AI) in Automotive Introduction
11.16.4 BMW Revenue in Artificial Intelligence (AI) in Automotive Business (2019-2024)
11.16.5 BMW Recent Development
11.17 Daimler
11.17.1 Daimler Company Detail
11.17.2 Daimler Business Overview
11.17.3 Daimler Artificial Intelligence (AI) in Automotive Introduction
11.17.4 Daimler Revenue in Artificial Intelligence (AI) in Automotive Business (2019-2024)
11.17.5 Daimler Recent Development
11.18 Didi Chuxing
11.18.1 Didi Chuxing Company Detail
11.18.2 Didi Chuxing Business Overview
11.18.3 Didi Chuxing Artificial Intelligence (AI) in Automotive Introduction
11.18.4 Didi Chuxing Revenue in Artificial Intelligence (AI) in Automotive Business (2019-2024)
11.18.5 Didi Chuxing Recent Development
11.19 Ford Motor Company
11.19.1 Ford Motor Company Company Detail
11.19.2 Ford Motor Company Business Overview
11.19.3 Ford Motor Company Artificial Intelligence (AI) in Automotive Introduction
11.19.4 Ford Motor Company Revenue in Artificial Intelligence (AI) in Automotive Business (2019-2024)
11.19.5 Ford Motor Company Recent Development
11.20 General Motors Company
11.20.1 General Motors Company Company Detail
11.20.2 General Motors Company Business Overview
11.20.3 General Motors Company Artificial Intelligence (AI) in Automotive Introduction
11.20.4 General Motors Company Revenue in Artificial Intelligence (AI) in Automotive Business (2019-2024)
11.20.5 General Motors Company Recent Development
11.21 Harman Industrial Industries
11.21.1 Harman Industrial Industries Company Detail
11.21.2 Harman Industrial Industries Business Overview
11.21.3 Harman Industrial Industries Artificial Intelligence (AI) in Automotive Introduction
11.21.4 Harman Industrial Industries Revenue in Artificial Intelligence (AI) in Automotive Business (2019-2024)
11.21.5 Harman Industrial Industries Recent Development
11.22 Honda Motor
11.22.1 Honda Motor Company Detail
11.22.2 Honda Motor Business Overview
11.22.3 Honda Motor Artificial Intelligence (AI) in Automotive Introduction
11.22.4 Honda Motor Revenue in Artificial Intelligence (AI) in Automotive Business (2019-2024)
11.22.5 Honda Motor Recent Development
11.23 Hyundai Motor Corporation
11.23.1 Hyundai Motor Corporation Company Detail
11.23.2 Hyundai Motor Corporation Business Overview
11.23.3 Hyundai Motor Corporation Artificial Intelligence (AI) in Automotive Introduction
11.23.4 Hyundai Motor Corporation Revenue in Artificial Intelligence (AI) in Automotive Business (2019-2024)
11.23.5 Hyundai Motor Corporation Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research
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