Global Automotive Artificial Intelligence (AI) Market Research Report 2024

Publication ID:

PB502243535

Publication Date:

March 1, 2024

Pages:

106

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

Manufacturing (Automotive) [2]

Automotive [3]

Description:

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 Automotive Artificial Intelligence (AI) market was valued at US$ 2799.8 million in 2023 and is anticipated to reach US$ 20110 million by 2030, witnessing a CAGR of 32.1% during the forecast period 2024-2030.
Global core automotive artificial intelligence (AI) manufacturers include NVIDIA, Uber Technologies and Alphabet (Google) etc. The Top3 companies hold a share above 40%. North America is the largest market, with a share about 36%, followed by Europe and China with the share about 35% and 23%.
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).
Report Scope
The Automotive Artificial Intelligence (AI) 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 Automotive Artificial Intelligence (AI) 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 Automotive Artificial Intelligence (AI) 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
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
Segment by Type
Hardware
Software
Service
Segment by Application
Passenger Car
Commercial Car
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 Automotive Artificial Intelligence (AI) companies鈥� 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 Automotive Artificial Intelligence (AI) Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Hardware
1.2.3 Software
1.2.4 Service
1.3 Market by Application
1.3.1 Global Automotive Artificial Intelligence (AI) Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Passenger Car
1.3.3 Commercial Car
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Automotive Artificial Intelligence (AI) Market Perspective (2019-2030)
2.2 Automotive Artificial Intelligence (AI) Growth Trends by Region
2.2.1 Global Automotive Artificial Intelligence (AI) Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Automotive Artificial Intelligence (AI) Historic Market Size by Region (2019-2024)
2.2.3 Automotive Artificial Intelligence (AI) Forecasted Market Size by Region (2025-2030)
2.3 Automotive Artificial Intelligence (AI) Market Dynamics
2.3.1 Automotive Artificial Intelligence (AI) Industry Trends
2.3.2 Automotive Artificial Intelligence (AI) Market Drivers
2.3.3 Automotive Artificial Intelligence (AI) Market Challenges
2.3.4 Automotive Artificial Intelligence (AI) Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Automotive Artificial Intelligence (AI) Players by Revenue
3.1.1 Global Top Automotive Artificial Intelligence (AI) Players by Revenue (2019-2024)
3.1.2 Global Automotive Artificial Intelligence (AI) Revenue Market Share by Players (2019-2024)
3.2 Global Automotive Artificial Intelligence (AI) Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Automotive Artificial Intelligence (AI) Revenue
3.4 Global Automotive Artificial Intelligence (AI) Market Concentration Ratio
3.4.1 Global Automotive Artificial Intelligence (AI) Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Automotive Artificial Intelligence (AI) Revenue in 2023
3.5 Automotive Artificial Intelligence (AI) Key Players Head office and Area Served
3.6 Key Players Automotive Artificial Intelligence (AI) Product Solution and Service
3.7 Date of Enter into Automotive Artificial Intelligence (AI) Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Automotive Artificial Intelligence (AI) Breakdown Data by Type
4.1 Global Automotive Artificial Intelligence (AI) Historic Market Size by Type (2019-2024)
4.2 Global Automotive Artificial Intelligence (AI) Forecasted Market Size by Type (2025-2030)
5 Automotive Artificial Intelligence (AI) Breakdown Data by Application
5.1 Global Automotive Artificial Intelligence (AI) Historic Market Size by Application (2019-2024)
5.2 Global Automotive Artificial Intelligence (AI) Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Automotive Artificial Intelligence (AI) Market Size (2019-2030)
6.2 North America Automotive Artificial Intelligence (AI) Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Automotive Artificial Intelligence (AI) Market Size by Country (2019-2024)
6.4 North America Automotive Artificial Intelligence (AI) Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Automotive Artificial Intelligence (AI) Market Size (2019-2030)
7.2 Europe Automotive Artificial Intelligence (AI) Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Automotive Artificial Intelligence (AI) Market Size by Country (2019-2024)
7.4 Europe Automotive Artificial Intelligence (AI) 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 Automotive Artificial Intelligence (AI) Market Size (2019-2030)
8.2 Asia-Pacific Automotive Artificial Intelligence (AI) Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Automotive Artificial Intelligence (AI) Market Size by Region (2019-2024)
8.4 Asia-Pacific Automotive Artificial Intelligence (AI) 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 Automotive Artificial Intelligence (AI) Market Size (2019-2030)
9.2 Latin America Automotive Artificial Intelligence (AI) Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Automotive Artificial Intelligence (AI) Market Size by Country (2019-2024)
9.4 Latin America Automotive Artificial Intelligence (AI) Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Automotive Artificial Intelligence (AI) Market Size (2019-2030)
10.2 Middle East & Africa Automotive Artificial Intelligence (AI) Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Automotive Artificial Intelligence (AI) Market Size by Country (2019-2024)
10.4 Middle East & Africa Automotive Artificial Intelligence (AI) Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
11.20.5 General Motors Company 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

Companies Mentioned:

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

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