Automotive Artificial Intelligence (AI) Industry Research Report 2023
Number of Pages: 107
Category: Automotive and Parts
Country: Tibet
Format:
Published Date: 08 Aug 2023
This report aims to provide a comprehensive presentation of the global market for Automotive Artificial Intelligence (AI), 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 Automotive Artificial Intelligence (AI).
The Automotive Artificial Intelligence (AI) market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Automotive Artificial Intelligence (AI) market comprehensively. Regional market sizes, concerning products by types, by application, and by players, are also provided. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
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 Automotive Artificial Intelligence (AI) companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, product type, application, and regions.
Key Companies & Market Share Insights
In this section, the readers will gain an understanding of the key players competing. This report has studied the key growth strategies, such as innovative trends and developments, intensification of product portfolio, mergers and acquisitions, collaborations, new product innovation, and geographical expansion, undertaken by these participants to maintain their presence. Apart from business strategies, the study includes current developments and key financials. The readers will also get access to the data related to global revenue by companies for the period 2017-2022. This all-inclusive report will certainly serve the clients to stay updated and make effective decisions in their businesses. Some of the prominent players reviewed in the research report include:
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
Product Type Insights
Global markets are presented by Automotive Artificial Intelligence (AI) type, along with growth forecasts through 2029. Estimates on revenue are based on the price in the supply chain at which the Automotive Artificial Intelligence (AI) are procured by the companies.
This report has studied every segment and provided the market size using historical data. They have also talked about the growth opportunities that the segment may pose in the future. This study bestows revenue data by type, and during the historical period (2018-2023) and forecast period (2024-2029).
Automotive Artificial Intelligence (AI) segment by Type
Hardware
Software
Service
Application Insights
This report has provided the market size (revenue data) by application, during the historical period (2018-2023) and forecast period (2024-2029).
This report also outlines the market trends of each segment and consumer behaviors impacting the Automotive Artificial Intelligence (AI) market and what implications these may have on the industrys future. This report can help to understand the relevant market and consumer trends that are driving the Automotive Artificial Intelligence (AI) market.
Automotive Artificial Intelligence (AI) Segment by Application
Passenger Car
Commercial Car
Regional Outlook
This section of the report provides key insights regarding various regions and the key players operating in each region. Economic, social, environmental, technological, and political factors have been taken into consideration while assessing the growth of the particular region/country. The readers will also get their hands on the revenue data of each region and country for the period 2018-2029.
The market has been segmented into various major geographies, including North America, Europe, Asia-Pacific, South America, Middle East & Africa. Detailed analysis of major countries such as the USA, Germany, the U.K., Italy, France, China, Japan, South Korea, Southeast Asia, and India will be covered within the regional segment. For market estimates, data are going to be provided for 2022 because of the base year, with estimates for 2023 and forecast revenue for 2029.
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
Key Drivers & Barriers
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
COVID-19 and Russia-Ukraine War Influence Analysis
The readers in the section will understand how the Automotive Artificial Intelligence (AI) market scenario changed across the globe during the pandemic, post-pandemic and Russia-Ukraine War. The study is done keeping in view the changes in aspects such as demand, consumption, transportation, consumer behavior, supply chain management. The industry experts have also highlighted the key factors that will help create opportunities for players and stabilize the overall industry in the years to come.
Reasons to Buy This Report
This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global Automotive Artificial Intelligence (AI) market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
This report will help stakeholders to understand the global industry status and trends of Automotive Artificial Intelligence (AI) and provides them with information on key market drivers, restraints, challenges, and opportunities.
This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in volume and value), competitor ecosystem, new product development, expansion, and acquisition.
This report stays updated with novel technology integration, features, and the latest developments in the market
This report helps stakeholders to understand the COVID-19 and Russia-Ukraine War Influence on the Automotive Artificial Intelligence (AI) industry.
This report helps stakeholders to gain insights into which regions to target globally
This report helps stakeholders to gain insights into the end-user perception concerning the adoption of Automotive Artificial Intelligence (AI).
This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Core Chapters
Chapter 1: Research objectives, research methods, data sources, data cross-validation;
Chapter 2: Introduces the report scope of the report, executive summary of different market segments (product type, 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 3: Provides the analysis of various market segments product types, 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 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: 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 6: Detailed analysis of Automotive Artificial Intelligence (AI) companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 7, 8, 9, 10, 11: 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 12: 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 13: The main points and conclusions of the report.
The Automotive Artificial Intelligence (AI) market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Automotive Artificial Intelligence (AI) market comprehensively. Regional market sizes, concerning products by types, by application, and by players, are also provided. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
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 Automotive Artificial Intelligence (AI) companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, product type, application, and regions.
Key Companies & Market Share Insights
In this section, the readers will gain an understanding of the key players competing. This report has studied the key growth strategies, such as innovative trends and developments, intensification of product portfolio, mergers and acquisitions, collaborations, new product innovation, and geographical expansion, undertaken by these participants to maintain their presence. Apart from business strategies, the study includes current developments and key financials. The readers will also get access to the data related to global revenue by companies for the period 2017-2022. This all-inclusive report will certainly serve the clients to stay updated and make effective decisions in their businesses. Some of the prominent players reviewed in the research report include:
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
Product Type Insights
Global markets are presented by Automotive Artificial Intelligence (AI) type, along with growth forecasts through 2029. Estimates on revenue are based on the price in the supply chain at which the Automotive Artificial Intelligence (AI) are procured by the companies.
This report has studied every segment and provided the market size using historical data. They have also talked about the growth opportunities that the segment may pose in the future. This study bestows revenue data by type, and during the historical period (2018-2023) and forecast period (2024-2029).
Automotive Artificial Intelligence (AI) segment by Type
Hardware
Software
Service
Application Insights
This report has provided the market size (revenue data) by application, during the historical period (2018-2023) and forecast period (2024-2029).
This report also outlines the market trends of each segment and consumer behaviors impacting the Automotive Artificial Intelligence (AI) market and what implications these may have on the industrys future. This report can help to understand the relevant market and consumer trends that are driving the Automotive Artificial Intelligence (AI) market.
Automotive Artificial Intelligence (AI) Segment by Application
Passenger Car
Commercial Car
Regional Outlook
This section of the report provides key insights regarding various regions and the key players operating in each region. Economic, social, environmental, technological, and political factors have been taken into consideration while assessing the growth of the particular region/country. The readers will also get their hands on the revenue data of each region and country for the period 2018-2029.
The market has been segmented into various major geographies, including North America, Europe, Asia-Pacific, South America, Middle East & Africa. Detailed analysis of major countries such as the USA, Germany, the U.K., Italy, France, China, Japan, South Korea, Southeast Asia, and India will be covered within the regional segment. For market estimates, data are going to be provided for 2022 because of the base year, with estimates for 2023 and forecast revenue for 2029.
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
Key Drivers & Barriers
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
COVID-19 and Russia-Ukraine War Influence Analysis
The readers in the section will understand how the Automotive Artificial Intelligence (AI) market scenario changed across the globe during the pandemic, post-pandemic and Russia-Ukraine War. The study is done keeping in view the changes in aspects such as demand, consumption, transportation, consumer behavior, supply chain management. The industry experts have also highlighted the key factors that will help create opportunities for players and stabilize the overall industry in the years to come.
Reasons to Buy This Report
This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global Automotive Artificial Intelligence (AI) market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
This report will help stakeholders to understand the global industry status and trends of Automotive Artificial Intelligence (AI) and provides them with information on key market drivers, restraints, challenges, and opportunities.
This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in volume and value), competitor ecosystem, new product development, expansion, and acquisition.
This report stays updated with novel technology integration, features, and the latest developments in the market
This report helps stakeholders to understand the COVID-19 and Russia-Ukraine War Influence on the Automotive Artificial Intelligence (AI) industry.
This report helps stakeholders to gain insights into which regions to target globally
This report helps stakeholders to gain insights into the end-user perception concerning the adoption of Automotive Artificial Intelligence (AI).
This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Core Chapters
Chapter 1: Research objectives, research methods, data sources, data cross-validation;
Chapter 2: Introduces the report scope of the report, executive summary of different market segments (product type, 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 3: Provides the analysis of various market segments product types, 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 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: 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 6: Detailed analysis of Automotive Artificial Intelligence (AI) companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 7, 8, 9, 10, 11: 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 12: 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 13: The main points and conclusions of the report.
1 Preface
1.1 Scope of Report
1.2 Reasons for Doing This Study
1.3 Research Methodology
1.4 Research Process
1.5 Data Source
1.5.1 Secondary Sources
1.5.2 Primary Sources
2 Market Overview
2.1 Product Definition
2.2 Automotive Artificial Intelligence (AI) by Type
2.2.1 Market Value Comparison by Type (2018 VS 2022 VS 2029)
1.2.2 Hardware
1.2.3 Software
1.2.4 Service
2.3 Automotive Artificial Intelligence (AI) by Application
2.3.1 Market Value Comparison by Application (2018 VS 2022 VS 2029)
2.3.2 Passenger Car
2.3.3 Commercial Car
2.4 Assumptions and Limitations
3 Automotive Artificial Intelligence (AI) Breakdown Data by Type
3.1 Global Automotive Artificial Intelligence (AI) Historic Market Size by Type (2018-2023)
3.2 Global Automotive Artificial Intelligence (AI) Forecasted Market Size by Type (2023-2028)
4 Automotive Artificial Intelligence (AI) Breakdown Data by Application
4.1 Global Automotive Artificial Intelligence (AI) Historic Market Size by Application (2018-2023)
4.2 Global Automotive Artificial Intelligence (AI) Forecasted Market Size by Application (2018-2023)
5 Global Growth Trends
5.1 Global Automotive Artificial Intelligence (AI) Market Perspective (2018-2029)
5.2 Global Automotive Artificial Intelligence (AI) Growth Trends by Region
5.2.1 Global Automotive Artificial Intelligence (AI) Market Size by Region: 2018 VS 2022 VS 2029
5.2.2 Automotive Artificial Intelligence (AI) Historic Market Size by Region (2018-2023)
5.2.3 Automotive Artificial Intelligence (AI) Forecasted Market Size by Region (2024-2029)
5.3 Automotive Artificial Intelligence (AI) Market Dynamics
5.3.1 Automotive Artificial Intelligence (AI) Industry Trends
5.3.2 Automotive Artificial Intelligence (AI) Market Drivers
5.3.3 Automotive Artificial Intelligence (AI) Market Challenges
5.3.4 Automotive Artificial Intelligence (AI) Market Restraints
6 Market Competitive Landscape by Players
6.1 Global Top Automotive Artificial Intelligence (AI) Players by Revenue
6.1.1 Global Top Automotive Artificial Intelligence (AI) Players by Revenue (2018-2023)
6.1.2 Global Automotive Artificial Intelligence (AI) Revenue Market Share by Players (2018-2023)
6.2 Global Automotive Artificial Intelligence (AI) Industry Players Ranking, 2021 VS 2022 VS 2023
6.3 Global Key Players of Automotive Artificial Intelligence (AI) Head office and Area Served
6.4 Global Automotive Artificial Intelligence (AI) Players, Product Type & Application
6.5 Global Automotive Artificial Intelligence (AI) Players, Date of Enter into This Industry
6.6 Global Automotive Artificial Intelligence (AI) Market CR5 and HHI
6.7 Global Players Mergers & Acquisition
7 North America
7.1 North America Automotive Artificial Intelligence (AI) Market Size (2018-2029)
7.2 North America Automotive Artificial Intelligence (AI) Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 North America Automotive Artificial Intelligence (AI) Market Size by Country (2018-2023)
7.4 North America Automotive Artificial Intelligence (AI) Market Size by Country (2024-2029)
7.5 United States
7.6 Canada
8 Europe
8.1 Europe Automotive Artificial Intelligence (AI) Market Size (2018-2029)
8.2 Europe Automotive Artificial Intelligence (AI) Market Growth Rate by Country: 2018 VS 2022 VS 2029
8.3 Europe Automotive Artificial Intelligence (AI) Market Size by Country (2018-2023)
8.4 Europe Automotive Artificial Intelligence (AI) Market Size by Country (2024-2029)
7.4 Germany
7.5 France
7.6 U.K.
7.7 Italy
7.8 Russia
7.9 Nordic Countries
9 Asia-Pacific
9.1 Asia-Pacific Automotive Artificial Intelligence (AI) Market Size (2018-2029)
9.2 Asia-Pacific Automotive Artificial Intelligence (AI) Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Asia-Pacific Automotive Artificial Intelligence (AI) Market Size by Country (2018-2023)
9.4 Asia-Pacific Automotive Artificial Intelligence (AI) Market Size by Country (2024-2029)
8.4 China
8.5 Japan
8.6 South Korea
8.7 Southeast Asia
8.8 India
8.9 Australia
10 Latin America
10.1 Latin America Automotive Artificial Intelligence (AI) Market Size (2018-2029)
10.2 Latin America Automotive Artificial Intelligence (AI) Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Latin America Automotive Artificial Intelligence (AI) Market Size by Country (2018-2023)
10.4 Latin America Automotive Artificial Intelligence (AI) Market Size by Country (2024-2029)
9.4 Mexico
9.5 Brazil
11 Middle East & Africa
11.1 Middle East & Africa Automotive Artificial Intelligence (AI) Market Size (2018-2029)
11.2 Middle East & Africa Automotive Artificial Intelligence (AI) Market Growth Rate by Country: 2018 VS 2022 VS 2029
11.3 Middle East & Africa Automotive Artificial Intelligence (AI) Market Size by Country (2018-2023)
11.4 Middle East & Africa Automotive Artificial Intelligence (AI) Market Size by Country (2024-2029)
10.4 Turkey
10.5 Saudi Arabia
10.6 UAE
12 Players Profiled
11.1 NVIDIA
11.1.1 NVIDIA Company Detail
11.1.2 NVIDIA Business Overview
11.1.3 NVIDIA Automotive Artificial Intelligence (AI) Introduction
11.1.4 NVIDIA Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.1.5 NVIDIA Recent Development
11.2 Uber Technologies
11.2.1 Uber Technologies Company Detail
11.2.2 Uber Technologies Business Overview
11.2.3 Uber Technologies Automotive Artificial Intelligence (AI) Introduction
11.2.4 Uber Technologies Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.2.5 Uber Technologies Recent Development
11.3 Alphabet (Google)
11.3.1 Alphabet (Google) Company Detail
11.3.2 Alphabet (Google) Business Overview
11.3.3 Alphabet (Google) Automotive Artificial Intelligence (AI) Introduction
11.3.4 Alphabet (Google) Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.3.5 Alphabet (Google) Recent Development
11.4 Microsoft
11.4.1 Microsoft Company Detail
11.4.2 Microsoft Business Overview
11.4.3 Microsoft Automotive Artificial Intelligence (AI) Introduction
11.4.4 Microsoft Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.4.5 Microsoft Recent Development
11.5 BMW
11.5.1 BMW Company Detail
11.5.2 BMW Business Overview
11.5.3 BMW Automotive Artificial Intelligence (AI) Introduction
11.5.4 BMW Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.5.5 BMW Recent Development
11.6 Xilinx
11.6.1 Xilinx Company Detail
11.6.2 Xilinx Business Overview
11.6.3 Xilinx Automotive Artificial Intelligence (AI) Introduction
11.6.4 Xilinx Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.6.5 Xilinx Recent Development
11.7 Didi
11.7.1 Didi Company Detail
11.7.2 Didi Business Overview
11.7.3 Didi Automotive Artificial Intelligence (AI) Introduction
11.7.4 Didi Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.7.5 Didi Recent Development
11.8 Intel
11.8.1 Intel Company Detail
11.8.2 Intel Business Overview
11.8.3 Intel Automotive Artificial Intelligence (AI) Introduction
11.8.4 Intel Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.8.5 Intel Recent Development
11.9 Amazon Web Services
11.9.1 Amazon Web Services Company Detail
11.9.2 Amazon Web Services Business Overview
11.9.3 Amazon Web Services Automotive Artificial Intelligence (AI) Introduction
11.9.4 Amazon Web Services Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.9.5 Amazon Web Services Recent Development
11.10 IBM
11.10.1 IBM Company Detail
11.10.2 IBM Business Overview
11.10.3 IBM Automotive Artificial Intelligence (AI) Introduction
11.10.4 IBM Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.10.5 IBM Recent Development
11.11 Toyota Motor Corporation
11.11.1 Toyota Motor Corporation Company Detail
11.11.2 Toyota Motor Corporation Business Overview
11.11.3 Toyota Motor Corporation Automotive Artificial Intelligence (AI) Introduction
11.11.4 Toyota Motor Corporation Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.11.5 Toyota Motor Corporation Recent Development
11.12 Audi
11.12.1 Audi Company Detail
11.12.2 Audi Business Overview
11.12.3 Audi Automotive Artificial Intelligence (AI) Introduction
11.12.4 Audi Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.12.5 Audi Recent Development
11.13 Micron
11.13.1 Micron Company Detail
11.13.2 Micron Business Overview
11.13.3 Micron Automotive Artificial Intelligence (AI) Introduction
11.13.4 Micron Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.13.5 Micron Recent Development
11.14 Samsung
11.14.1 Samsung Company Detail
11.14.2 Samsung Business Overview
11.14.3 Samsung Automotive Artificial Intelligence (AI) Introduction
11.14.4 Samsung Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.14.5 Samsung Recent Development
11.15 Tesla
11.15.1 Tesla Company Detail
11.15.2 Tesla Business Overview
11.15.3 Tesla Automotive Artificial Intelligence (AI) Introduction
11.15.4 Tesla Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.15.5 Tesla Recent Development
11.16 Hyundai Motor Corporation
11.16.1 Hyundai Motor Corporation Company Detail
11.16.2 Hyundai Motor Corporation Business Overview
11.16.3 Hyundai Motor Corporation Automotive Artificial Intelligence (AI) Introduction
11.16.4 Hyundai Motor Corporation Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.16.5 Hyundai Motor Corporation Recent Development
11.17 Argo AI
11.17.1 Argo AI Company Detail
11.17.2 Argo AI Business Overview
11.17.3 Argo AI Automotive Artificial Intelligence (AI) Introduction
11.17.4 Argo AI Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.17.5 Argo AI Recent Development
11.18 SenseTime
11.18.1 SenseTime Company Detail
11.18.2 SenseTime Business Overview
11.18.3 SenseTime Automotive Artificial Intelligence (AI) Introduction
11.18.4 SenseTime Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.18.5 SenseTime Recent Development
11.19 Qualcomm
11.19.1 Qualcomm Company Detail
11.19.2 Qualcomm Business Overview
11.19.3 Qualcomm Automotive Artificial Intelligence (AI) Introduction
11.19.4 Qualcomm Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.19.5 Qualcomm 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 Automotive Artificial Intelligence (AI) Introduction
11.20.4 General Motors Company Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.20.5 General Motors Company Recent Development
13 Report Conclusion
14 Disclaimer
1.1 Scope of Report
1.2 Reasons for Doing This Study
1.3 Research Methodology
1.4 Research Process
1.5 Data Source
1.5.1 Secondary Sources
1.5.2 Primary Sources
2 Market Overview
2.1 Product Definition
2.2 Automotive Artificial Intelligence (AI) by Type
2.2.1 Market Value Comparison by Type (2018 VS 2022 VS 2029)
1.2.2 Hardware
1.2.3 Software
1.2.4 Service
2.3 Automotive Artificial Intelligence (AI) by Application
2.3.1 Market Value Comparison by Application (2018 VS 2022 VS 2029)
2.3.2 Passenger Car
2.3.3 Commercial Car
2.4 Assumptions and Limitations
3 Automotive Artificial Intelligence (AI) Breakdown Data by Type
3.1 Global Automotive Artificial Intelligence (AI) Historic Market Size by Type (2018-2023)
3.2 Global Automotive Artificial Intelligence (AI) Forecasted Market Size by Type (2023-2028)
4 Automotive Artificial Intelligence (AI) Breakdown Data by Application
4.1 Global Automotive Artificial Intelligence (AI) Historic Market Size by Application (2018-2023)
4.2 Global Automotive Artificial Intelligence (AI) Forecasted Market Size by Application (2018-2023)
5 Global Growth Trends
5.1 Global Automotive Artificial Intelligence (AI) Market Perspective (2018-2029)
5.2 Global Automotive Artificial Intelligence (AI) Growth Trends by Region
5.2.1 Global Automotive Artificial Intelligence (AI) Market Size by Region: 2018 VS 2022 VS 2029
5.2.2 Automotive Artificial Intelligence (AI) Historic Market Size by Region (2018-2023)
5.2.3 Automotive Artificial Intelligence (AI) Forecasted Market Size by Region (2024-2029)
5.3 Automotive Artificial Intelligence (AI) Market Dynamics
5.3.1 Automotive Artificial Intelligence (AI) Industry Trends
5.3.2 Automotive Artificial Intelligence (AI) Market Drivers
5.3.3 Automotive Artificial Intelligence (AI) Market Challenges
5.3.4 Automotive Artificial Intelligence (AI) Market Restraints
6 Market Competitive Landscape by Players
6.1 Global Top Automotive Artificial Intelligence (AI) Players by Revenue
6.1.1 Global Top Automotive Artificial Intelligence (AI) Players by Revenue (2018-2023)
6.1.2 Global Automotive Artificial Intelligence (AI) Revenue Market Share by Players (2018-2023)
6.2 Global Automotive Artificial Intelligence (AI) Industry Players Ranking, 2021 VS 2022 VS 2023
6.3 Global Key Players of Automotive Artificial Intelligence (AI) Head office and Area Served
6.4 Global Automotive Artificial Intelligence (AI) Players, Product Type & Application
6.5 Global Automotive Artificial Intelligence (AI) Players, Date of Enter into This Industry
6.6 Global Automotive Artificial Intelligence (AI) Market CR5 and HHI
6.7 Global Players Mergers & Acquisition
7 North America
7.1 North America Automotive Artificial Intelligence (AI) Market Size (2018-2029)
7.2 North America Automotive Artificial Intelligence (AI) Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 North America Automotive Artificial Intelligence (AI) Market Size by Country (2018-2023)
7.4 North America Automotive Artificial Intelligence (AI) Market Size by Country (2024-2029)
7.5 United States
7.6 Canada
8 Europe
8.1 Europe Automotive Artificial Intelligence (AI) Market Size (2018-2029)
8.2 Europe Automotive Artificial Intelligence (AI) Market Growth Rate by Country: 2018 VS 2022 VS 2029
8.3 Europe Automotive Artificial Intelligence (AI) Market Size by Country (2018-2023)
8.4 Europe Automotive Artificial Intelligence (AI) Market Size by Country (2024-2029)
7.4 Germany
7.5 France
7.6 U.K.
7.7 Italy
7.8 Russia
7.9 Nordic Countries
9 Asia-Pacific
9.1 Asia-Pacific Automotive Artificial Intelligence (AI) Market Size (2018-2029)
9.2 Asia-Pacific Automotive Artificial Intelligence (AI) Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Asia-Pacific Automotive Artificial Intelligence (AI) Market Size by Country (2018-2023)
9.4 Asia-Pacific Automotive Artificial Intelligence (AI) Market Size by Country (2024-2029)
8.4 China
8.5 Japan
8.6 South Korea
8.7 Southeast Asia
8.8 India
8.9 Australia
10 Latin America
10.1 Latin America Automotive Artificial Intelligence (AI) Market Size (2018-2029)
10.2 Latin America Automotive Artificial Intelligence (AI) Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Latin America Automotive Artificial Intelligence (AI) Market Size by Country (2018-2023)
10.4 Latin America Automotive Artificial Intelligence (AI) Market Size by Country (2024-2029)
9.4 Mexico
9.5 Brazil
11 Middle East & Africa
11.1 Middle East & Africa Automotive Artificial Intelligence (AI) Market Size (2018-2029)
11.2 Middle East & Africa Automotive Artificial Intelligence (AI) Market Growth Rate by Country: 2018 VS 2022 VS 2029
11.3 Middle East & Africa Automotive Artificial Intelligence (AI) Market Size by Country (2018-2023)
11.4 Middle East & Africa Automotive Artificial Intelligence (AI) Market Size by Country (2024-2029)
10.4 Turkey
10.5 Saudi Arabia
10.6 UAE
12 Players Profiled
11.1 NVIDIA
11.1.1 NVIDIA Company Detail
11.1.2 NVIDIA Business Overview
11.1.3 NVIDIA Automotive Artificial Intelligence (AI) Introduction
11.1.4 NVIDIA Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.1.5 NVIDIA Recent Development
11.2 Uber Technologies
11.2.1 Uber Technologies Company Detail
11.2.2 Uber Technologies Business Overview
11.2.3 Uber Technologies Automotive Artificial Intelligence (AI) Introduction
11.2.4 Uber Technologies Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.2.5 Uber Technologies Recent Development
11.3 Alphabet (Google)
11.3.1 Alphabet (Google) Company Detail
11.3.2 Alphabet (Google) Business Overview
11.3.3 Alphabet (Google) Automotive Artificial Intelligence (AI) Introduction
11.3.4 Alphabet (Google) Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.3.5 Alphabet (Google) Recent Development
11.4 Microsoft
11.4.1 Microsoft Company Detail
11.4.2 Microsoft Business Overview
11.4.3 Microsoft Automotive Artificial Intelligence (AI) Introduction
11.4.4 Microsoft Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.4.5 Microsoft Recent Development
11.5 BMW
11.5.1 BMW Company Detail
11.5.2 BMW Business Overview
11.5.3 BMW Automotive Artificial Intelligence (AI) Introduction
11.5.4 BMW Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.5.5 BMW Recent Development
11.6 Xilinx
11.6.1 Xilinx Company Detail
11.6.2 Xilinx Business Overview
11.6.3 Xilinx Automotive Artificial Intelligence (AI) Introduction
11.6.4 Xilinx Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.6.5 Xilinx Recent Development
11.7 Didi
11.7.1 Didi Company Detail
11.7.2 Didi Business Overview
11.7.3 Didi Automotive Artificial Intelligence (AI) Introduction
11.7.4 Didi Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.7.5 Didi Recent Development
11.8 Intel
11.8.1 Intel Company Detail
11.8.2 Intel Business Overview
11.8.3 Intel Automotive Artificial Intelligence (AI) Introduction
11.8.4 Intel Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.8.5 Intel Recent Development
11.9 Amazon Web Services
11.9.1 Amazon Web Services Company Detail
11.9.2 Amazon Web Services Business Overview
11.9.3 Amazon Web Services Automotive Artificial Intelligence (AI) Introduction
11.9.4 Amazon Web Services Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.9.5 Amazon Web Services Recent Development
11.10 IBM
11.10.1 IBM Company Detail
11.10.2 IBM Business Overview
11.10.3 IBM Automotive Artificial Intelligence (AI) Introduction
11.10.4 IBM Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.10.5 IBM Recent Development
11.11 Toyota Motor Corporation
11.11.1 Toyota Motor Corporation Company Detail
11.11.2 Toyota Motor Corporation Business Overview
11.11.3 Toyota Motor Corporation Automotive Artificial Intelligence (AI) Introduction
11.11.4 Toyota Motor Corporation Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.11.5 Toyota Motor Corporation Recent Development
11.12 Audi
11.12.1 Audi Company Detail
11.12.2 Audi Business Overview
11.12.3 Audi Automotive Artificial Intelligence (AI) Introduction
11.12.4 Audi Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.12.5 Audi Recent Development
11.13 Micron
11.13.1 Micron Company Detail
11.13.2 Micron Business Overview
11.13.3 Micron Automotive Artificial Intelligence (AI) Introduction
11.13.4 Micron Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.13.5 Micron Recent Development
11.14 Samsung
11.14.1 Samsung Company Detail
11.14.2 Samsung Business Overview
11.14.3 Samsung Automotive Artificial Intelligence (AI) Introduction
11.14.4 Samsung Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.14.5 Samsung Recent Development
11.15 Tesla
11.15.1 Tesla Company Detail
11.15.2 Tesla Business Overview
11.15.3 Tesla Automotive Artificial Intelligence (AI) Introduction
11.15.4 Tesla Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.15.5 Tesla Recent Development
11.16 Hyundai Motor Corporation
11.16.1 Hyundai Motor Corporation Company Detail
11.16.2 Hyundai Motor Corporation Business Overview
11.16.3 Hyundai Motor Corporation Automotive Artificial Intelligence (AI) Introduction
11.16.4 Hyundai Motor Corporation Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.16.5 Hyundai Motor Corporation Recent Development
11.17 Argo AI
11.17.1 Argo AI Company Detail
11.17.2 Argo AI Business Overview
11.17.3 Argo AI Automotive Artificial Intelligence (AI) Introduction
11.17.4 Argo AI Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.17.5 Argo AI Recent Development
11.18 SenseTime
11.18.1 SenseTime Company Detail
11.18.2 SenseTime Business Overview
11.18.3 SenseTime Automotive Artificial Intelligence (AI) Introduction
11.18.4 SenseTime Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.18.5 SenseTime Recent Development
11.19 Qualcomm
11.19.1 Qualcomm Company Detail
11.19.2 Qualcomm Business Overview
11.19.3 Qualcomm Automotive Artificial Intelligence (AI) Introduction
11.19.4 Qualcomm Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.19.5 Qualcomm 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 Automotive Artificial Intelligence (AI) Introduction
11.20.4 General Motors Company Revenue in Automotive Artificial Intelligence (AI) Business (2017-2022)
11.20.5 General Motors Company Recent Development
13 Report Conclusion
14 Disclaimer