
The global Computing Platform for Automated Driving market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for Computing Platform for Automated Driving is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for Computing Platform for Automated Driving is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for Computing Platform for Automated Driving in L1/L2 Automatic Driving is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies of Computing Platform for Automated Driving include Baidu, Tesla, NVIDIA, Bosch, Continental, Huawei, Qualcomm and Horizon, etc. In 2022, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Computing Platform for Automated Driving, 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 Computing Platform for Automated Driving.
The Computing Platform for Automated Driving 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 Computing Platform for Automated Driving 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 Computing Platform for Automated Driving 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
Baidu
Tesla
NVIDIA
Bosch
Continental
Huawei
Qualcomm
Horizon
Segment by Type
Software
Hardware
Segment by Application
L1/L2 Automatic Driving
L3 Automatic Driving
Other
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 Computing Platform for Automated Driving 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.
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Computing Platform for Automated Driving Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Software
1.2.3 Hardware
1.3 Market by Application
1.3.1 Global Computing Platform for Automated Driving Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 L1/L2 Automatic Driving
1.3.3 L3 Automatic Driving
1.3.4 Other
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Computing Platform for Automated Driving Market Perspective (2018-2029)
2.2 Computing Platform for Automated Driving Growth Trends by Region
2.2.1 Global Computing Platform for Automated Driving Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Computing Platform for Automated Driving Historic Market Size by Region (2018-2023)
2.2.3 Computing Platform for Automated Driving Forecasted Market Size by Region (2024-2029)
2.3 Computing Platform for Automated Driving Market Dynamics
2.3.1 Computing Platform for Automated Driving Industry Trends
2.3.2 Computing Platform for Automated Driving Market Drivers
2.3.3 Computing Platform for Automated Driving Market Challenges
2.3.4 Computing Platform for Automated Driving Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Computing Platform for Automated Driving Players by Revenue
3.1.1 Global Top Computing Platform for Automated Driving Players by Revenue (2018-2023)
3.1.2 Global Computing Platform for Automated Driving Revenue Market Share by Players (2018-2023)
3.2 Global Computing Platform for Automated Driving Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Computing Platform for Automated Driving Revenue
3.4 Global Computing Platform for Automated Driving Market Concentration Ratio
3.4.1 Global Computing Platform for Automated Driving Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Computing Platform for Automated Driving Revenue in 2022
3.5 Computing Platform for Automated Driving Key Players Head office and Area Served
3.6 Key Players Computing Platform for Automated Driving Product Solution and Service
3.7 Date of Enter into Computing Platform for Automated Driving Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Computing Platform for Automated Driving Breakdown Data by Type
4.1 Global Computing Platform for Automated Driving Historic Market Size by Type (2018-2023)
4.2 Global Computing Platform for Automated Driving Forecasted Market Size by Type (2024-2029)
5 Computing Platform for Automated Driving Breakdown Data by Application
5.1 Global Computing Platform for Automated Driving Historic Market Size by Application (2018-2023)
5.2 Global Computing Platform for Automated Driving Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Computing Platform for Automated Driving Market Size (2018-2029)
6.2 North America Computing Platform for Automated Driving Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Computing Platform for Automated Driving Market Size by Country (2018-2023)
6.4 North America Computing Platform for Automated Driving Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Computing Platform for Automated Driving Market Size (2018-2029)
7.2 Europe Computing Platform for Automated Driving Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Computing Platform for Automated Driving Market Size by Country (2018-2023)
7.4 Europe Computing Platform for Automated Driving 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 Computing Platform for Automated Driving Market Size (2018-2029)
8.2 Asia-Pacific Computing Platform for Automated Driving Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Computing Platform for Automated Driving Market Size by Region (2018-2023)
8.4 Asia-Pacific Computing Platform for Automated Driving 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 Computing Platform for Automated Driving Market Size (2018-2029)
9.2 Latin America Computing Platform for Automated Driving Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Computing Platform for Automated Driving Market Size by Country (2018-2023)
9.4 Latin America Computing Platform for Automated Driving Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Computing Platform for Automated Driving Market Size (2018-2029)
10.2 Middle East & Africa Computing Platform for Automated Driving Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Computing Platform for Automated Driving Market Size by Country (2018-2023)
10.4 Middle East & Africa Computing Platform for Automated Driving Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Baidu
11.1.1 Baidu Company Detail
11.1.2 Baidu Business Overview
11.1.3 Baidu Computing Platform for Automated Driving Introduction
11.1.4 Baidu Revenue in Computing Platform for Automated Driving Business (2018-2023)
11.1.5 Baidu Recent Development
11.2 Tesla
11.2.1 Tesla Company Detail
11.2.2 Tesla Business Overview
11.2.3 Tesla Computing Platform for Automated Driving Introduction
11.2.4 Tesla Revenue in Computing Platform for Automated Driving Business (2018-2023)
11.2.5 Tesla Recent Development
11.3 NVIDIA
11.3.1 NVIDIA Company Detail
11.3.2 NVIDIA Business Overview
11.3.3 NVIDIA Computing Platform for Automated Driving Introduction
11.3.4 NVIDIA Revenue in Computing Platform for Automated Driving Business (2018-2023)
11.3.5 NVIDIA Recent Development
11.4 Bosch
11.4.1 Bosch Company Detail
11.4.2 Bosch Business Overview
11.4.3 Bosch Computing Platform for Automated Driving Introduction
11.4.4 Bosch Revenue in Computing Platform for Automated Driving Business (2018-2023)
11.4.5 Bosch Recent Development
11.5 Continental
11.5.1 Continental Company Detail
11.5.2 Continental Business Overview
11.5.3 Continental Computing Platform for Automated Driving Introduction
11.5.4 Continental Revenue in Computing Platform for Automated Driving Business (2018-2023)
11.5.5 Continental Recent Development
11.6 Huawei
11.6.1 Huawei Company Detail
11.6.2 Huawei Business Overview
11.6.3 Huawei Computing Platform for Automated Driving Introduction
11.6.4 Huawei Revenue in Computing Platform for Automated Driving Business (2018-2023)
11.6.5 Huawei Recent Development
11.7 Qualcomm
11.7.1 Qualcomm Company Detail
11.7.2 Qualcomm Business Overview
11.7.3 Qualcomm Computing Platform for Automated Driving Introduction
11.7.4 Qualcomm Revenue in Computing Platform for Automated Driving Business (2018-2023)
11.7.5 Qualcomm Recent Development
11.8 Horizon
11.8.1 Horizon Company Detail
11.8.2 Horizon Business Overview
11.8.3 Horizon Computing Platform for Automated Driving Introduction
11.8.4 Horizon Revenue in Computing Platform for Automated Driving Business (2018-2023)
11.8.5 Horizon 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
Baidu
Tesla
NVIDIA
Bosch
Continental
Huawei
Qualcomm
Horizon
Ìý
Ìý
*If Applicable.
