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レポート概要
| 本調査レポートは世界の自動車用人工知能（AI）市場について調査・分析し、世界の自動車用人工知能（AI）市場概要、市場トレンド、主要企業別競争状況、タイプ別セグメント分析（ハードウェア、ソフトウェア、サービス）、用途別セグメント分析（乗用車、商用車）、地域別市場規模、主要企業のプロファイルなどに関する情報を掲載しています。主要企業としては、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などが含まれています。世界の自動車用人工知能（AI）市場は、2022年にXXX米ドル、2029年にはXXX米ドルに達すると予測され、予測期間の年平均成長率はXXX％です。COVID-19とロシア・ウクライナ戦争の影響は、自動車用人工知能（AI）市場規模を推定する際に考慮しました。本レポートは、自動車用人工知能（AI）の世界市場を定量的・定性的な分析により包括的に提示し、読者がビジネス/成長戦略を策定し、市場競争状況を把握し、現在の市場における自社のポジションを分析し、自動車用人工知能（AI）に関するビジネス上の意思決定に役立てることを目的としています。 ・自動車用人工知能（AI）市場の概要 - 自動車用人工知能（AI）のタイプ別セグメント - 世界の自動車用人工知能（AI）市場規模：タイプ別分析（ハードウェア、ソフトウェア、サービス） - 自動車用人工知能（AI）の用途別セグメント - 世界の自動車用人工知能（AI）市場規模：用途別分析（乗用車、商用車） - 世界の自動車用人工知能（AI）市場規模予測（2018年-2029年） ・自動車用人工知能（AI）市場の成長トレンド - 自動車用人工知能（AI）の地域別市場規模（2018年-2029年） - 自動車用人工知能（AI）市場ダイナミクス - 自動車用人工知能（AI）の業界動向 - 自動車用人工知能（AI）市場の成長ドライバ、課題、阻害要因 ・主要企業別競争状況 - 企業別市場シェア - 世界の主要企業、業界ランキング分析 - 市場への参入、M＆A動向 ・タイプ別セグメント：ハードウェア、ソフトウェア、サービス - 世界の自動車用人工知能（AI）のタイプ別市場規模（2018年-2023年） - 世界の自動車用人工知能（AI）のタイプ別市場規模（2024年-2029年） ・用途別セグメント：乗用車、商用車 - 世界の自動車用人工知能（AI）の用途別市場規模（2018年-2023年） - 世界の自動車用人工知能（AI）の用途別市場規模（2024年-2029年） ・自動車用人工知能（AI）の地域別市場規模 - 北米の自動車用人工知能（AI）市場規模（2018年-2029年） - アメリカの自動車用人工知能（AI）市場規模（2018年-2029年） - ヨーロッパの自動車用人工知能（AI）市場規模（2018年-2029年） - アジア太平洋の自動車用人工知能（AI）市場規模（2018年-2029年） - 中国の自動車用人工知能（AI）市場規模（2018年-2029年） - 日本の自動車用人工知能（AI）市場規模（2018年-2029年） - 韓国の自動車用人工知能（AI）市場規模（2018年-2029年） - インドの自動車用人工知能（AI）市場規模（2018年-2029年） - オーストラリアの自動車用人工知能（AI）市場規模（2018年-2029年） - 中南米の自動車用人工知能（AI）市場規模（2018年-2029年） - 中東・アフリカの自動車用人工知能（AI）市場規模（2018年-2029年） ・主要企業のプロファイル：企業情報、事業概要、売上、動向 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 ・アナリストの観点/結論 ・調査方法とデータソース |
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.
Highlights
The global Automotive Artificial Intelligence (AI) market was valued at US$ 3791.8 million in 2022 and is anticipated to reach US$ 20110 million by 2029, witnessing a CAGR of 32.1% during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
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%.
Report Scope
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 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 for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
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
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by 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 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’ 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 key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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: 2018 VS 2022 VS 2029
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: 2018 VS 2022 VS 2029
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 (2018-2029)
2.2 Automotive Artificial Intelligence (AI) Growth Trends by Region
2.2.1 Global Automotive Artificial Intelligence (AI) Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Automotive Artificial Intelligence (AI) Historic Market Size by Region (2018-2023)
2.2.3 Automotive Artificial Intelligence (AI) Forecasted Market Size by Region (2024-2029)
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 (2018-2023)
3.1.2 Global Automotive Artificial Intelligence (AI) Revenue Market Share by Players (2018-2023)
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 2022
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 (2018-2023)
4.2 Global Automotive Artificial Intelligence (AI) Forecasted Market Size by Type (2024-2029)
5 Automotive Artificial Intelligence (AI) Breakdown Data by Application
5.1 Global Automotive Artificial Intelligence (AI) Historic Market Size by Application (2018-2023)
5.2 Global Automotive Artificial Intelligence (AI) Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Automotive Artificial Intelligence (AI) Market Size (2018-2029)
6.2 North America Automotive Artificial Intelligence (AI) Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Automotive Artificial Intelligence (AI) Market Size by Country (2018-2023)
6.4 North America Automotive Artificial Intelligence (AI) Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Automotive Artificial Intelligence (AI) Market Size (2018-2029)
7.2 Europe Automotive Artificial Intelligence (AI) Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Automotive Artificial Intelligence (AI) Market Size by Country (2018-2023)
7.4 Europe Automotive Artificial Intelligence (AI) Market Size by Country (2024-2029)
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 (2018-2029)
8.2 Asia-Pacific Automotive Artificial Intelligence (AI) Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Automotive Artificial Intelligence (AI) Market Size by Region (2018-2023)
8.4 Asia-Pacific Automotive Artificial Intelligence (AI) Market Size by Region (2024-2029)
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 (2018-2029)
9.2 Latin America Automotive Artificial Intelligence (AI) Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Automotive Artificial Intelligence (AI) Market Size by Country (2018-2023)
9.4 Latin America Automotive Artificial Intelligence (AI) Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Automotive Artificial Intelligence (AI) Market Size (2018-2029)
10.2 Middle East & Africa Automotive Artificial Intelligence (AI) Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Automotive Artificial Intelligence (AI) Market Size by Country (2018-2023)
10.4 Middle East & Africa Automotive Artificial Intelligence (AI) Market Size by Country (2024-2029)
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 (2018-2023)
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 (2018-2023)
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 (2018-2023)
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 (2018-2023)
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 (2018-2023)
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 (2018-2023)
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 (2018-2023)
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 (2018-2023)
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 (2018-2023)
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 (2018-2023)
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 (2018-2023)
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 (2018-2023)
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 (2018-2023)
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 (2018-2023)
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 (2018-2023)
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 (2018-2023)
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 (2018-2023)
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 (2018-2023)
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 (2018-2023)
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 (2018-2023)
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