Global Generative AI in Automotive 麻豆原创 Growth (Status and Outlook) 2024-2030

Publication ID:

LPI07242284

Publication Date:

July 8, 2024

Pages:

125

Publisher:

LPI

Countries:

Global [1]

USD 3,660.00

IT Services [2]

Software [3]

Computing & Electronics [4]

Description:

Generative AI in automotive encompasses the application of advanced algorithms, primarily generative models, to innovate and enhance various aspects of vehicle design, manufacturing, operation, and user experience. It facilitates the creation of novel designs, optimizes manufacturing processes, enhances autonomous driving systems, ensures safety and security, and enables customization based on individual preferences. Overall, Generative AI drives significant advancements in the automotive industry, leading to smarter, safer, and more personalized vehicles.
The global Generative AI in Automotive market size is projected to grow from US$ million in 2024 to US$ million in 2030; it is expected to grow at a CAGR of %from 2024 to 2030.
The 鈥淕enerative AI in Automotive Industry Forecast鈥� looks at past sales and reviews total world Generative AI in Automotive sales in 2022, providing a comprehensive analysis by region and market sector of projected Generative AI in Automotive sales for 2023 through 2029. With Generative AI in Automotive sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Generative AI in Automotive industry.
This Insight Report provides a comprehensive analysis of the global Generative AI in Automotive landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Generative AI in Automotive portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms鈥� unique position in an accelerating global Generative AI in Automotive market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Generative AI in Automotive and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Generative AI in Automotive.
United States market for Generative AI in Automotive is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.
China market for Generative AI in Automotive is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.
Europe market for Generative AI in Automotive is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.
Global key Generative AI in Automotive players cover Microsoft, AWS, Google, AUDI AG, Intel Corporation, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2023.
This report presents a comprehensive overview, market shares, and growth opportunities of Generative AI in Automotive market by product type, application, key players and key regions and countries.
Segmentation by Type:
Passenger Vehicles
Commercial Vehicles
Segmentation by Application:
Vehicle Design
Manufacturing Optimization
Transportation & Logistics
Autonomous Driving
ADAS
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
Segmentation by Type:
Passenger Vehicles
Commercial Vehicles
Segmentation by Application:
Vehicle Design
Manufacturing Optimization
Transportation & Logistics
Autonomous Driving
ADAS
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Microsoft
AWS
Google
AUDI AG
Intel Corporation
Tesla Inc
Uber AI
NVIDIA Corporation
Honda Motors
AMD
Ford Motor(Latitude AI)
Zapata AI
Bosch
Toyota
General Motors
Valeo

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Scope of the Report
1.1 麻豆原创 Introduction
1.2 Years Considered
1.3 Research Objectives
1.4 麻豆原创 Research Methodology
1.5 Research Process and Data Source
1.6 Economic Indicators
1.7 Currency Considered
1.8 麻豆原创 Estimation Caveats
2 Executive Summary
2.1 World 麻豆原创 Overview
2.1.1 Global Generative AI in Automotive 麻豆原创 Size 2019-2030
2.1.2 Generative AI in Automotive 麻豆原创 Size CAGR by Region (2019 VS 2023 VS 2030)
2.1.3 World Current & Future Analysis for Generative AI in Automotive by Country/Region, 2019, 2023 & 2030
2.2 Generative AI in Automotive Segment by Type
2.2.1 Passenger Vehicles
2.2.2 Commercial Vehicles
2.3 Generative AI in Automotive 麻豆原创 Size by Type
2.3.1 Generative AI in Automotive 麻豆原创 Size CAGR by Type (2019 VS 2023 VS 2030)
2.3.2 Global Generative AI in Automotive 麻豆原创 Size 麻豆原创 Share by Type (2019-2024)
2.4 Generative AI in Automotive Segment by Application
2.4.1 Vehicle Design
2.4.2 Manufacturing Optimization
2.4.3 Transportation & Logistics
2.4.4 Autonomous Driving
2.4.5 ADAS
2.4.6 Others
2.5 Generative AI in Automotive 麻豆原创 Size by Application
2.5.1 Generative AI in Automotive 麻豆原创 Size CAGR by Application (2019 VS 2023 VS 2030)
2.5.2 Global Generative AI in Automotive 麻豆原创 Size 麻豆原创 Share by Application (2019-2024)
3 Generative AI in Automotive 麻豆原创 Size by Player
3.1 Generative AI in Automotive 麻豆原创 Size 麻豆原创 Share by Player
3.1.1 Global Generative AI in Automotive Revenue by Player (2019-2024)
3.1.2 Global Generative AI in Automotive Revenue 麻豆原创 Share by Player (2019-2024)
3.2 Global Generative AI in Automotive Key Players Head office and Products Offered
3.3 麻豆原创 Concentration Rate Analysis
3.3.1 Competition Landscape Analysis
3.3.2 Concentration Ratio (CR3, CR5 and CR10) & (2022-2024)
3.4 New Products and Potential Entrants
3.5 Mergers & Acquisitions, Expansion
4 Generative AI in Automotive by Region
4.1 Generative AI in Automotive 麻豆原创 Size by Region (2019-2024)
4.2 Global Generative AI in Automotive Annual Revenue by Country/Region (2019-2024)
4.3 Americas Generative AI in Automotive 麻豆原创 Size Growth (2019-2024)
4.4 APAC Generative AI in Automotive 麻豆原创 Size Growth (2019-2024)
4.5 Europe Generative AI in Automotive 麻豆原创 Size Growth (2019-2024)
4.6 Middle East & Africa Generative AI in Automotive 麻豆原创 Size Growth (2019-2024)
5 Americas
5.1 Americas Generative AI in Automotive 麻豆原创 Size by Country (2019-2024)
5.2 Americas Generative AI in Automotive 麻豆原创 Size by Type (2019-2024)
5.3 Americas Generative AI in Automotive 麻豆原创 Size by Application (2019-2024)
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Brazil
6 APAC
6.1 APAC Generative AI in Automotive 麻豆原创 Size by Region (2019-2024)
6.2 APAC Generative AI in Automotive 麻豆原创 Size by Type (2019-2024)
6.3 APAC Generative AI in Automotive 麻豆原创 Size by Application (2019-2024)
6.4 China
6.5 Japan
6.6 South Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
7 Europe
7.1 Europe Generative AI in Automotive 麻豆原创 Size by Country (2019-2024)
7.2 Europe Generative AI in Automotive 麻豆原创 Size by Type (2019-2024)
7.3 Europe Generative AI in Automotive 麻豆原创 Size by Application (2019-2024)
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
8 Middle East & Africa
8.1 Middle East & Africa Generative AI in Automotive by Region (2019-2024)
8.2 Middle East & Africa Generative AI in Automotive 麻豆原创 Size by Type (2019-2024)
8.3 Middle East & Africa Generative AI in Automotive 麻豆原创 Size by Application (2019-2024)
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries
9 麻豆原创 Drivers, Challenges and Trends
9.1 麻豆原创 Drivers & Growth Opportunities
9.2 麻豆原创 Challenges & Risks
9.3 Industry Trends
10 Global Generative AI in Automotive 麻豆原创 Forecast
10.1 Global Generative AI in Automotive Forecast by Region (2025-2030)
10.1.1 Global Generative AI in Automotive Forecast by Region (2025-2030)
10.1.2 Americas Generative AI in Automotive Forecast
10.1.3 APAC Generative AI in Automotive Forecast
10.1.4 Europe Generative AI in Automotive Forecast
10.1.5 Middle East & Africa Generative AI in Automotive Forecast
10.2 Americas Generative AI in Automotive Forecast by Country (2025-2030)
10.2.1 United States 麻豆原创 Generative AI in Automotive Forecast
10.2.2 Canada 麻豆原创 Generative AI in Automotive Forecast
10.2.3 Mexico 麻豆原创 Generative AI in Automotive Forecast
10.2.4 Brazil 麻豆原创 Generative AI in Automotive Forecast
10.3 APAC Generative AI in Automotive Forecast by Region (2025-2030)
10.3.1 China Generative AI in Automotive 麻豆原创 Forecast
10.3.2 Japan 麻豆原创 Generative AI in Automotive Forecast
10.3.3 Korea 麻豆原创 Generative AI in Automotive Forecast
10.3.4 Southeast Asia 麻豆原创 Generative AI in Automotive Forecast
10.3.5 India 麻豆原创 Generative AI in Automotive Forecast
10.3.6 Australia 麻豆原创 Generative AI in Automotive Forecast
10.4 Europe Generative AI in Automotive Forecast by Country (2025-2030)
10.4.1 Germany 麻豆原创 Generative AI in Automotive Forecast
10.4.2 France 麻豆原创 Generative AI in Automotive Forecast
10.4.3 UK 麻豆原创 Generative AI in Automotive Forecast
10.4.4 Italy 麻豆原创 Generative AI in Automotive Forecast
10.4.5 Russia 麻豆原创 Generative AI in Automotive Forecast
10.5 Middle East & Africa Generative AI in Automotive Forecast by Region (2025-2030)
10.5.1 Egypt 麻豆原创 Generative AI in Automotive Forecast
10.5.2 South Africa 麻豆原创 Generative AI in Automotive Forecast
10.5.3 Israel 麻豆原创 Generative AI in Automotive Forecast
10.5.4 Turkey 麻豆原创 Generative AI in Automotive Forecast
10.6 Global Generative AI in Automotive Forecast by Type (2025-2030)
10.7 Global Generative AI in Automotive Forecast by Application (2025-2030)
10.7.1 GCC Countries 麻豆原创 Generative AI in Automotive Forecast
11 Key Players Analysis
11.1 Microsoft
11.1.1 Microsoft Company Information
11.1.2 Microsoft Generative AI in Automotive Product Offered
11.1.3 Microsoft Generative AI in Automotive Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.1.4 Microsoft Main Business Overview
11.1.5 Microsoft Latest Developments
11.2 AWS
11.2.1 AWS Company Information
11.2.2 AWS Generative AI in Automotive Product Offered
11.2.3 AWS Generative AI in Automotive Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.2.4 AWS Main Business Overview
11.2.5 AWS Latest Developments
11.3 Google
11.3.1 Google Company Information
11.3.2 Google Generative AI in Automotive Product Offered
11.3.3 Google Generative AI in Automotive Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.3.4 Google Main Business Overview
11.3.5 Google Latest Developments
11.4 AUDI AG
11.4.1 AUDI AG Company Information
11.4.2 AUDI AG Generative AI in Automotive Product Offered
11.4.3 AUDI AG Generative AI in Automotive Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.4.4 AUDI AG Main Business Overview
11.4.5 AUDI AG Latest Developments
11.5 Intel Corporation
11.5.1 Intel Corporation Company Information
11.5.2 Intel Corporation Generative AI in Automotive Product Offered
11.5.3 Intel Corporation Generative AI in Automotive Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.5.4 Intel Corporation Main Business Overview
11.5.5 Intel Corporation Latest Developments
11.6 Tesla Inc
11.6.1 Tesla Inc Company Information
11.6.2 Tesla Inc Generative AI in Automotive Product Offered
11.6.3 Tesla Inc Generative AI in Automotive Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.6.4 Tesla Inc Main Business Overview
11.6.5 Tesla Inc Latest Developments
11.7 Uber AI
11.7.1 Uber AI Company Information
11.7.2 Uber AI Generative AI in Automotive Product Offered
11.7.3 Uber AI Generative AI in Automotive Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.7.4 Uber AI Main Business Overview
11.7.5 Uber AI Latest Developments
11.8 NVIDIA Corporation
11.8.1 NVIDIA Corporation Company Information
11.8.2 NVIDIA Corporation Generative AI in Automotive Product Offered
11.8.3 NVIDIA Corporation Generative AI in Automotive Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.8.4 NVIDIA Corporation Main Business Overview
11.8.5 NVIDIA Corporation Latest Developments
11.9 Honda Motors
11.9.1 Honda Motors Company Information
11.9.2 Honda Motors Generative AI in Automotive Product Offered
11.9.3 Honda Motors Generative AI in Automotive Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.9.4 Honda Motors Main Business Overview
11.9.5 Honda Motors Latest Developments
11.10 AMD
11.10.1 AMD Company Information
11.10.2 AMD Generative AI in Automotive Product Offered
11.10.3 AMD Generative AI in Automotive Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.10.4 AMD Main Business Overview
11.10.5 AMD Latest Developments
11.11 Ford Motor(Latitude AI)
11.11.1 Ford Motor(Latitude AI) Company Information
11.11.2 Ford Motor(Latitude AI) Generative AI in Automotive Product Offered
11.11.3 Ford Motor(Latitude AI) Generative AI in Automotive Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.11.4 Ford Motor(Latitude AI) Main Business Overview
11.11.5 Ford Motor(Latitude AI) Latest Developments
11.12 Zapata AI
11.12.1 Zapata AI Company Information
11.12.2 Zapata AI Generative AI in Automotive Product Offered
11.12.3 Zapata AI Generative AI in Automotive Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.12.4 Zapata AI Main Business Overview
11.12.5 Zapata AI Latest Developments
11.13 Bosch
11.13.1 Bosch Company Information
11.13.2 Bosch Generative AI in Automotive Product Offered
11.13.3 Bosch Generative AI in Automotive Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.13.4 Bosch Main Business Overview
11.13.5 Bosch Latest Developments
11.14 Toyota
11.14.1 Toyota Company Information
11.14.2 Toyota Generative AI in Automotive Product Offered
11.14.3 Toyota Generative AI in Automotive Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.14.4 Toyota Main Business Overview
11.14.5 Toyota Latest Developments
11.15 General Motors
11.15.1 General Motors Company Information
11.15.2 General Motors Generative AI in Automotive Product Offered
11.15.3 General Motors Generative AI in Automotive Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.15.4 General Motors Main Business Overview
11.15.5 General Motors Latest Developments
11.16 Valeo
11.16.1 Valeo Company Information
11.16.2 Valeo Generative AI in Automotive Product Offered
11.16.3 Valeo Generative AI in Automotive Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.16.4 Valeo Main Business Overview
11.16.5 Valeo Latest Developments
12 Research Findings and Conclusion

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