Global Applied AI in Autonomous Vehicles Market Research Report 2024

Publication ID:

PB508246974

Publication Date:

August 5, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The practical application of artificial intelligence technology to allow self-driving capabilities and improve various elements of autonomous vehicle operation is referred to as applied AI in autonomous cars. This entails using AI algorithms, machine learning techniques, and powerful data processing to develop cars that can navigate, sense their surroundings, make judgments, and interact with their environments without the need for human interaction. To accurately detect the vehicle's surroundings, AI algorithms process data from sensors such as LiDAR, radar, cameras, and ultrasonic sensors. Sensor fusion techniques combine data from various sensors to provide a complete and trustworthy picture of the environment.
The global Applied AI in Autonomous Vehicles market was valued at US$ 1310 million in 2023 and is anticipated to reach US$ 5639 million by 2030, witnessing a CAGR of 22.5% during the forecast period 2024-2030.
Autonomous vehicles, seen by many as the future of personal and public means of transport, are slowly gaining market share. In 2019, there were some 31 million cars with at least some level of automation in operation worldwide. In is expected that their number will surpass 54 million in 2024. Correspondingly, the global autonomous car market is projected to grow as well. AD could create massive value for the auto industry, generating hundreds of billions of dollars before the end of this decade, McKinsey research shows.
This report aims to provide a comprehensive presentation of the global market for Applied AI in Autonomous Vehicles, 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 Applied AI in Autonomous Vehicles.
The Applied AI in Autonomous Vehicles 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 Applied AI in Autonomous Vehicles 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 Applied AI in Autonomous Vehicles 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
Alphabet
Tesla
Baidu
Ford
Mircosoft
Volvo
Toyoto
Aptiv
Intel
Continental
Bosch
Nvidia
Segment by Type
Machine Learning
Natural Language Processing
Computer Vision
Context-Aware Computing
Others
Segment by Application
Passenger Cars
Commercial Vehicles
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 Applied AI in Autonomous Vehicles 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 Applied AI in Autonomous Vehicles Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Machine Learning
1.2.3 Natural Language Processing
1.2.4 Computer Vision
1.2.5 Context-Aware Computing
1.2.6 Others
1.3 Market by Application
1.3.1 Global Applied AI in Autonomous Vehicles Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Passenger Cars
1.3.3 Commercial Vehicles
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Applied AI in Autonomous Vehicles Market Perspective (2019-2030)
2.2 Global Applied AI in Autonomous Vehicles Growth Trends by Region
2.2.1 Global Applied AI in Autonomous Vehicles Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Applied AI in Autonomous Vehicles Historic Market Size by Region (2019-2024)
2.2.3 Applied AI in Autonomous Vehicles Forecasted Market Size by Region (2025-2030)
2.3 Applied AI in Autonomous Vehicles Market Dynamics
2.3.1 Applied AI in Autonomous Vehicles Industry Trends
2.3.2 Applied AI in Autonomous Vehicles Market Drivers
2.3.3 Applied AI in Autonomous Vehicles Market Challenges
2.3.4 Applied AI in Autonomous Vehicles Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Applied AI in Autonomous Vehicles Players by Revenue
3.1.1 Global Top Applied AI in Autonomous Vehicles Players by Revenue (2019-2024)
3.1.2 Global Applied AI in Autonomous Vehicles Revenue Market Share by Players (2019-2024)
3.2 Global Applied AI in Autonomous Vehicles Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Applied AI in Autonomous Vehicles Revenue
3.4 Global Applied AI in Autonomous Vehicles Market Concentration Ratio
3.4.1 Global Applied AI in Autonomous Vehicles Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Applied AI in Autonomous Vehicles Revenue in 2023
3.5 Global Key Players of Applied AI in Autonomous Vehicles Head office and Area Served
3.6 Global Key Players of Applied AI in Autonomous Vehicles, Product and Application
3.7 Global Key Players of Applied AI in Autonomous Vehicles, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Applied AI in Autonomous Vehicles Breakdown Data by Type
4.1 Global Applied AI in Autonomous Vehicles Historic Market Size by Type (2019-2024)
4.2 Global Applied AI in Autonomous Vehicles Forecasted Market Size by Type (2025-2030)
5 Applied AI in Autonomous Vehicles Breakdown Data by Application
5.1 Global Applied AI in Autonomous Vehicles Historic Market Size by Application (2019-2024)
5.2 Global Applied AI in Autonomous Vehicles Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Applied AI in Autonomous Vehicles Market Size (2019-2030)
6.2 North America Applied AI in Autonomous Vehicles Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Applied AI in Autonomous Vehicles Market Size by Country (2019-2024)
6.4 North America Applied AI in Autonomous Vehicles Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Applied AI in Autonomous Vehicles Market Size (2019-2030)
7.2 Europe Applied AI in Autonomous Vehicles Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Applied AI in Autonomous Vehicles Market Size by Country (2019-2024)
7.4 Europe Applied AI in Autonomous Vehicles 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 Applied AI in Autonomous Vehicles Market Size (2019-2030)
8.2 Asia-Pacific Applied AI in Autonomous Vehicles Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Applied AI in Autonomous Vehicles Market Size by Region (2019-2024)
8.4 Asia-Pacific Applied AI in Autonomous Vehicles 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 Applied AI in Autonomous Vehicles Market Size (2019-2030)
9.2 Latin America Applied AI in Autonomous Vehicles Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Applied AI in Autonomous Vehicles Market Size by Country (2019-2024)
9.4 Latin America Applied AI in Autonomous Vehicles Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Applied AI in Autonomous Vehicles Market Size (2019-2030)
10.2 Middle East & Africa Applied AI in Autonomous Vehicles Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Applied AI in Autonomous Vehicles Market Size by Country (2019-2024)
10.4 Middle East & Africa Applied AI in Autonomous Vehicles Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Alphabet
11.1.1 Alphabet Company Details
11.1.2 Alphabet Business Overview
11.1.3 Alphabet Applied AI in Autonomous Vehicles Introduction
11.1.4 Alphabet Revenue in Applied AI in Autonomous Vehicles Business (2019-2024)
11.1.5 Alphabet Recent Development
11.2 Tesla
11.2.1 Tesla Company Details
11.2.2 Tesla Business Overview
11.2.3 Tesla Applied AI in Autonomous Vehicles Introduction
11.2.4 Tesla Revenue in Applied AI in Autonomous Vehicles Business (2019-2024)
11.2.5 Tesla Recent Development
11.3 Baidu
11.3.1 Baidu Company Details
11.3.2 Baidu Business Overview
11.3.3 Baidu Applied AI in Autonomous Vehicles Introduction
11.3.4 Baidu Revenue in Applied AI in Autonomous Vehicles Business (2019-2024)
11.3.5 Baidu Recent Development
11.4 Ford
11.4.1 Ford Company Details
11.4.2 Ford Business Overview
11.4.3 Ford Applied AI in Autonomous Vehicles Introduction
11.4.4 Ford Revenue in Applied AI in Autonomous Vehicles Business (2019-2024)
11.4.5 Ford Recent Development
11.5 Mircosoft
11.5.1 Mircosoft Company Details
11.5.2 Mircosoft Business Overview
11.5.3 Mircosoft Applied AI in Autonomous Vehicles Introduction
11.5.4 Mircosoft Revenue in Applied AI in Autonomous Vehicles Business (2019-2024)
11.5.5 Mircosoft Recent Development
11.6 Volvo
11.6.1 Volvo Company Details
11.6.2 Volvo Business Overview
11.6.3 Volvo Applied AI in Autonomous Vehicles Introduction
11.6.4 Volvo Revenue in Applied AI in Autonomous Vehicles Business (2019-2024)
11.6.5 Volvo Recent Development
11.7 Toyoto
11.7.1 Toyoto Company Details
11.7.2 Toyoto Business Overview
11.7.3 Toyoto Applied AI in Autonomous Vehicles Introduction
11.7.4 Toyoto Revenue in Applied AI in Autonomous Vehicles Business (2019-2024)
11.7.5 Toyoto Recent Development
11.8 Aptiv
11.8.1 Aptiv Company Details
11.8.2 Aptiv Business Overview
11.8.3 Aptiv Applied AI in Autonomous Vehicles Introduction
11.8.4 Aptiv Revenue in Applied AI in Autonomous Vehicles Business (2019-2024)
11.8.5 Aptiv Recent Development
11.9 Intel
11.9.1 Intel Company Details
11.9.2 Intel Business Overview
11.9.3 Intel Applied AI in Autonomous Vehicles Introduction
11.9.4 Intel Revenue in Applied AI in Autonomous Vehicles Business (2019-2024)
11.9.5 Intel Recent Development
11.10 Continental
11.10.1 Continental Company Details
11.10.2 Continental Business Overview
11.10.3 Continental Applied AI in Autonomous Vehicles Introduction
11.10.4 Continental Revenue in Applied AI in Autonomous Vehicles Business (2019-2024)
11.10.5 Continental Recent Development
11.11 Bosch
11.11.1 Bosch Company Details
11.11.2 Bosch Business Overview
11.11.3 Bosch Applied AI in Autonomous Vehicles Introduction
11.11.4 Bosch Revenue in Applied AI in Autonomous Vehicles Business (2019-2024)
11.11.5 Bosch Recent Development
11.12 Nvidia
11.12.1 Nvidia Company Details
11.12.2 Nvidia Business Overview
11.12.3 Nvidia Applied AI in Autonomous Vehicles Introduction
11.12.4 Nvidia Revenue in Applied AI in Autonomous Vehicles Business (2019-2024)
11.12.5 Nvidia 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:

Alphabet
Tesla
Baidu
Ford
Mircosoft
Volvo
Toyoto
Aptiv
Intel
Continental
Bosch
Nvidia

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