Global Generative AI in Automotive Market Research Report 2024

Publication ID:

PB505243208

Publication Date:

May 16, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

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 was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of %during the forecast period 2024-2030.
North American market for Generative AI in Automotive is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Generative AI in Automotive is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Generative AI in Automotive in Vehicle Design is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Generative AI in Automotive include Microsoft, AWS, Google, AUDI AG, Intel Corporation, Tesla Inc, Uber AI, NVIDIA Corporation, Honda Motors, AMD, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Generative 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 Generative AI in Automotive.
The Generative AI in Automotive market size, estimations, and forecasts are provided in terms of and 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 Generative 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 Generative AI in Automotive 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, by Type, by Application, and by regions.
Market Segmentation
By Company
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
Segment by Type
Passenger Vehicles
Commercial Vehicles
Segment by Application
Vehicle Design
Manufacturing Optimization
Transportation & Logistics
Autonomous Driving
ADAS
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
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 Generative AI in Automotive company 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.

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

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Generative AI in Automotive Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Passenger Vehicles
1.2.3 Commercial Vehicles
1.3 Market by Application
1.3.1 Global Generative AI in Automotive Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Vehicle Design
1.3.3 Manufacturing Optimization
1.3.4 Transportation & Logistics
1.3.5 Autonomous Driving
1.3.6 ADAS
1.3.7 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Generative AI in Automotive Market Perspective (2019-2030)
2.2 Global Generative AI in Automotive Growth Trends by Region
2.2.1 Global Generative AI in Automotive Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Generative AI in Automotive Historic Market Size by Region (2019-2024)
2.2.3 Generative AI in Automotive Forecasted Market Size by Region (2025-2030)
2.3 Generative AI in Automotive Market Dynamics
2.3.1 Generative AI in Automotive Industry Trends
2.3.2 Generative AI in Automotive Market Drivers
2.3.3 Generative AI in Automotive Market Challenges
2.3.4 Generative AI in Automotive Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Generative AI in Automotive Players by Revenue
3.1.1 Global Top Generative AI in Automotive Players by Revenue (2019-2024)
3.1.2 Global Generative AI in Automotive Revenue Market Share by Players (2019-2024)
3.2 Global Generative AI in Automotive Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Generative AI in Automotive Revenue
3.4 Global Generative AI in Automotive Market Concentration Ratio
3.4.1 Global Generative AI in Automotive Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Generative AI in Automotive Revenue in 2023
3.5 Global Key Players of Generative AI in Automotive Head office and Area Served
3.6 Global Key Players of Generative AI in Automotive, Product and Application
3.7 Global Key Players of Generative AI in Automotive, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Generative AI in Automotive Breakdown Data by Type
4.1 Global Generative AI in Automotive Historic Market Size by Type (2019-2024)
4.2 Global Generative AI in Automotive Forecasted Market Size by Type (2025-2030)
5 Generative AI in Automotive Breakdown Data by Application
5.1 Global Generative AI in Automotive Historic Market Size by Application (2019-2024)
5.2 Global Generative AI in Automotive Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Generative AI in Automotive Market Size (2019-2030)
6.2 North America Generative AI in Automotive Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Generative AI in Automotive Market Size by Country (2019-2024)
6.4 North America Generative AI in Automotive Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Generative AI in Automotive Market Size (2019-2030)
7.2 Europe Generative AI in Automotive Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Generative AI in Automotive Market Size by Country (2019-2024)
7.4 Europe Generative 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 Generative AI in Automotive Market Size (2019-2030)
8.2 Asia-Pacific Generative AI in Automotive Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Generative AI in Automotive Market Size by Region (2019-2024)
8.4 Asia-Pacific Generative 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 Generative AI in Automotive Market Size (2019-2030)
9.2 Latin America Generative AI in Automotive Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Generative AI in Automotive Market Size by Country (2019-2024)
9.4 Latin America Generative AI in Automotive Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Generative AI in Automotive Market Size (2019-2030)
10.2 Middle East & Africa Generative AI in Automotive Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Generative AI in Automotive Market Size by Country (2019-2024)
10.4 Middle East & Africa Generative 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 Microsoft
11.1.1 Microsoft Company Details
11.1.2 Microsoft Business Overview
11.1.3 Microsoft Generative AI in Automotive Introduction
11.1.4 Microsoft Revenue in Generative AI in Automotive Business (2019-2024)
11.1.5 Microsoft Recent Development
11.2 AWS
11.2.1 AWS Company Details
11.2.2 AWS Business Overview
11.2.3 AWS Generative AI in Automotive Introduction
11.2.4 AWS Revenue in Generative AI in Automotive Business (2019-2024)
11.2.5 AWS Recent Development
11.3 Google
11.3.1 Google Company Details
11.3.2 Google Business Overview
11.3.3 Google Generative AI in Automotive Introduction
11.3.4 Google Revenue in Generative AI in Automotive Business (2019-2024)
11.3.5 Google Recent Development
11.4 AUDI AG
11.4.1 AUDI AG Company Details
11.4.2 AUDI AG Business Overview
11.4.3 AUDI AG Generative AI in Automotive Introduction
11.4.4 AUDI AG Revenue in Generative AI in Automotive Business (2019-2024)
11.4.5 AUDI AG Recent Development
11.5 Intel Corporation
11.5.1 Intel Corporation Company Details
11.5.2 Intel Corporation Business Overview
11.5.3 Intel Corporation Generative AI in Automotive Introduction
11.5.4 Intel Corporation Revenue in Generative AI in Automotive Business (2019-2024)
11.5.5 Intel Corporation Recent Development
11.6 Tesla Inc
11.6.1 Tesla Inc Company Details
11.6.2 Tesla Inc Business Overview
11.6.3 Tesla Inc Generative AI in Automotive Introduction
11.6.4 Tesla Inc Revenue in Generative AI in Automotive Business (2019-2024)
11.6.5 Tesla Inc Recent Development
11.7 Uber AI
11.7.1 Uber AI Company Details
11.7.2 Uber AI Business Overview
11.7.3 Uber AI Generative AI in Automotive Introduction
11.7.4 Uber AI Revenue in Generative AI in Automotive Business (2019-2024)
11.7.5 Uber AI Recent Development
11.8 NVIDIA Corporation
11.8.1 NVIDIA Corporation Company Details
11.8.2 NVIDIA Corporation Business Overview
11.8.3 NVIDIA Corporation Generative AI in Automotive Introduction
11.8.4 NVIDIA Corporation Revenue in Generative AI in Automotive Business (2019-2024)
11.8.5 NVIDIA Corporation Recent Development
11.9 Honda Motors
11.9.1 Honda Motors Company Details
11.9.2 Honda Motors Business Overview
11.9.3 Honda Motors Generative AI in Automotive Introduction
11.9.4 Honda Motors Revenue in Generative AI in Automotive Business (2019-2024)
11.9.5 Honda Motors Recent Development
11.10 AMD
11.10.1 AMD Company Details
11.10.2 AMD Business Overview
11.10.3 AMD Generative AI in Automotive Introduction
11.10.4 AMD Revenue in Generative AI in Automotive Business (2019-2024)
11.10.5 AMD Recent Development
11.11 Ford Motor(Latitude AI)
11.11.1 Ford Motor(Latitude AI) Company Details
11.11.2 Ford Motor(Latitude AI) Business Overview
11.11.3 Ford Motor(Latitude AI) Generative AI in Automotive Introduction
11.11.4 Ford Motor(Latitude AI) Revenue in Generative AI in Automotive Business (2019-2024)
11.11.5 Ford Motor(Latitude AI) Recent Development
11.12 Zapata AI
11.12.1 Zapata AI Company Details
11.12.2 Zapata AI Business Overview
11.12.3 Zapata AI Generative AI in Automotive Introduction
11.12.4 Zapata AI Revenue in Generative AI in Automotive Business (2019-2024)
11.12.5 Zapata AI Recent Development
11.13 Bosch
11.13.1 Bosch Company Details
11.13.2 Bosch Business Overview
11.13.3 Bosch Generative AI in Automotive Introduction
11.13.4 Bosch Revenue in Generative AI in Automotive Business (2019-2024)
11.13.5 Bosch Recent Development
11.14 Toyota
11.14.1 Toyota Company Details
11.14.2 Toyota Business Overview
11.14.3 Toyota Generative AI in Automotive Introduction
11.14.4 Toyota Revenue in Generative AI in Automotive Business (2019-2024)
11.14.5 Toyota Recent Development
11.15 General Motors
11.15.1 General Motors Company Details
11.15.2 General Motors Business Overview
11.15.3 General Motors Generative AI in Automotive Introduction
11.15.4 General Motors Revenue in Generative AI in Automotive Business (2019-2024)
11.15.5 General Motors Recent Development
11.16 Valeo
11.16.1 Valeo Company Details
11.16.2 Valeo Business Overview
11.16.3 Valeo Generative AI in Automotive Introduction
11.16.4 Valeo Revenue in Generative AI in Automotive Business (2019-2024)
11.16.5 Valeo Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

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

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