Edge AI chips are microprocessors specially designed to handle artificial intelligence tasks inside cars. They play a key role in smart driving, assisted driving, autonomous driving and other in-vehicle intelligent systems. These chips need to process a large amount of sensor data, including camera images, radar signals, LiDAR data, ultrasonic sensor information, etc., to achieve real-time environmental perception, object recognition, path planning and other functions.
The global Edge AI for Automotive market was valued at US$ 1211 million in 2023 and is anticipated to reach US$ 3785 million by 2030, witnessing a CAGR of 18.1% during the forecast period 2024-2030.
North American market for Edge AI for 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 Edge AI for 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 major global manufacturers of Edge AI for Automotive include STMicroelectronics, NVIDIA, Intel, AMD, Google Cloud, Qualcomm, NXP, Kneron, Hailo, Ambarella, etc. In 2023, 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 Edge AI for 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 Edge AI for Automotive.
The Edge AI for Automotive market size, estimations, and forecasts are provided in terms of output/shipments (K Units) 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 Edge AI for 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 Edge AI for Automotive manufacturers, new entrants, and industry chain related companies in this market with information on the revenues, production, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
麻豆原创 Segmentation
By Company
STMicroelectronics
NVIDIA
Intel
AMD
Google Cloud
Qualcomm
NXP
Kneron
Hailo
Ambarella
Hisilicon
Cambricon
Horizon Robotics
Black Sesame Technologies
by Type
Speech Processing
Machine Vision
Sensing
by Application
ADAS
Others
Production by Region
North America
Europe
China
Japan
South Korea
India
Consumption by Region
North America
U.S.
Canada
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Europe
Germany
France
U.K.
Italy
Russia
Rest of Europe
Latin America, Middle East & Africa
Mexico
Brazil
Turkey
GCC Countries
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by region, 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: Detailed analysis of Edge AI for Automotive manufacturers competitive landscape, price, production and value market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Production/output, value of Edge AI for Automotive by region/country. It provides a quantitative analysis of the market size and development potential of each region in the next six years.
Chapter 4: Consumption of Edge AI for Automotive in regional level and country level. 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 production of each country in the world.
Chapter 5: 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 6: 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 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product production/output, value, price, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 10: 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.
1 Edge AI for Automotive 麻豆原创 Overview
1.1 Product Definition
1.2 Edge AI for Automotive by Type
1.2.1 Global Edge AI for Automotive 麻豆原创 Value Growth Rate Analysis by Type: 2023 VS 2030
1.2.2 Speech Processing
1.2.3 Machine Vision
1.2.4 Sensing
1.3 Edge AI for Automotive by Application
1.3.1 Global Edge AI for Automotive 麻豆原创 Value Growth Rate Analysis by Application: 2023 VS 2030
1.3.2 ADAS
1.3.3 Others
1.4 Global 麻豆原创 Growth Prospects
1.4.1 Global Edge AI for Automotive Production Value Estimates and Forecasts (2019-2030)
1.4.2 Global Edge AI for Automotive Production Capacity Estimates and Forecasts (2019-2030)
1.4.3 Global Edge AI for Automotive Production Estimates and Forecasts (2019-2030)
1.4.4 Global Edge AI for Automotive 麻豆原创 Average Price Estimates and Forecasts (2019-2030)
1.5 Assumptions and Limitations
2 麻豆原创 Competition by Manufacturers
2.1 Global Edge AI for Automotive Production 麻豆原创 Share by Manufacturers (2019-2024)
2.2 Global Edge AI for Automotive Production Value 麻豆原创 Share by Manufacturers (2019-2024)
2.3 Global Key Players of Edge AI for Automotive, Industry Ranking, 2022 VS 2023
2.4 Global Edge AI for Automotive 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
2.5 Global Edge AI for Automotive Average Price by Manufacturers (2019-2024)
2.6 Global Key Manufacturers of Edge AI for Automotive, Manufacturing Sites & Headquarters
2.7 Global Key Manufacturers of Edge AI for Automotive, Product Type & Application
2.8 Global Key Manufacturers of Edge AI for Automotive, Date of Enter into This Industry
2.9 Global Edge AI for Automotive 麻豆原创 Competitive Situation and Trends
2.9.1 Global Edge AI for Automotive 麻豆原创 Concentration Rate
2.9.2 Global 5 and 10 Largest Edge AI for Automotive Players 麻豆原创 Share by Revenue
2.10 Mergers & Acquisitions, Expansion
3 Edge AI for Automotive Production by Region
3.1 Global Edge AI for Automotive Production Value Estimates and Forecasts by Region: 2019 VS 2023 VS 2030
3.2 Global Edge AI for Automotive Production Value by Region (2019-2030)
3.2.1 Global Edge AI for Automotive Production Value 麻豆原创 Share by Region (2019-2024)
3.2.2 Global Forecasted Production Value of Edge AI for Automotive by Region (2025-2030)
3.3 Global Edge AI for Automotive Production Estimates and Forecasts by Region: 2019 VS 2023 VS 2030
3.4 Global Edge AI for Automotive Production by Region (2019-2030)
3.4.1 Global Edge AI for Automotive Production 麻豆原创 Share by Region (2019-2024)
3.4.2 Global Forecasted Production of Edge AI for Automotive by Region (2025-2030)
3.5 Global Edge AI for Automotive 麻豆原创 Price Analysis by Region (2019-2024)
3.6 Global Edge AI for Automotive Production and Value, Year-over-Year Growth
3.6.1 North America Edge AI for Automotive Production Value Estimates and Forecasts (2019-2030)
3.6.2 Europe Edge AI for Automotive Production Value Estimates and Forecasts (2019-2030)
3.6.3 China Edge AI for Automotive Production Value Estimates and Forecasts (2019-2030)
3.6.4 Japan Edge AI for Automotive Production Value Estimates and Forecasts (2019-2030)
3.6.5 South Korea Edge AI for Automotive Production Value Estimates and Forecasts (2019-2030)
3.6.6 India Edge AI for Automotive Production Value Estimates and Forecasts (2019-2030)
4 Edge AI for Automotive Consumption by Region
4.1 Global Edge AI for Automotive Consumption Estimates and Forecasts by Region: 2019 VS 2023 VS 2030
4.2 Global Edge AI for Automotive Consumption by Region (2019-2030)
4.2.1 Global Edge AI for Automotive Consumption by Region (2019-2030)
4.2.2 Global Edge AI for Automotive Forecasted Consumption by Region (2025-2030)
4.3 North America
4.3.1 North America Edge AI for Automotive Consumption Growth Rate by Country: 2019 VS 2023 VS 2030
4.3.2 North America Edge AI for Automotive Consumption by Country (2019-2030)
4.3.3 U.S.
4.3.4 Canada
4.4 Europe
4.4.1 Europe Edge AI for Automotive Consumption Growth Rate by Country: 2019 VS 2023 VS 2030
4.4.2 Europe Edge AI for Automotive Consumption by Country (2019-2030)
4.4.3 Germany
4.4.4 France
4.4.5 U.K.
4.4.6 Italy
4.4.7 Netherlands
4.5 Asia Pacific
4.5.1 Asia Pacific Edge AI for Automotive Consumption Growth Rate by Country: 2019 VS 2023 VS 2030
4.5.2 Asia Pacific Edge AI for Automotive Consumption by Region (2019-2030)
4.5.3 China
4.5.4 Japan
4.5.5 South Korea
4.5.6 China Taiwan
4.5.7 Southeast Asia
4.5.8 India
4.6 Latin America, Middle East & Africa
4.6.1 Latin America, Middle East & Africa Edge AI for Automotive Consumption Growth Rate by Country: 2019 VS 2023 VS 2030
4.6.2 Latin America, Middle East & Africa Edge AI for Automotive Consumption by Country (2019-2030)
4.6.3 Mexico
4.6.4 Brazil
4.6.5 Turkey
4.6.6 GCC Countries
5 Segment by Type
5.1 Global Edge AI for Automotive Production by Type (2019-2030)
5.1.1 Global Edge AI for Automotive Production by Type (2019-2024)
5.1.2 Global Edge AI for Automotive Production by Type (2025-2030)
5.1.3 Global Edge AI for Automotive Production 麻豆原创 Share by Type (2019-2030)
5.2 Global Edge AI for Automotive Production Value by Type (2019-2030)
5.2.1 Global Edge AI for Automotive Production Value by Type (2019-2024)
5.2.2 Global Edge AI for Automotive Production Value by Type (2025-2030)
5.2.3 Global Edge AI for Automotive Production Value 麻豆原创 Share by Type (2019-2030)
5.3 Global Edge AI for Automotive Price by Type (2019-2030)
6 Segment by Application
6.1 Global Edge AI for Automotive Production by Application (2019-2030)
6.1.1 Global Edge AI for Automotive Production by Application (2019-2024)
6.1.2 Global Edge AI for Automotive Production by Application (2025-2030)
6.1.3 Global Edge AI for Automotive Production 麻豆原创 Share by Application (2019-2030)
6.2 Global Edge AI for Automotive Production Value by Application (2019-2030)
6.2.1 Global Edge AI for Automotive Production Value by Application (2019-2024)
6.2.2 Global Edge AI for Automotive Production Value by Application (2025-2030)
6.2.3 Global Edge AI for Automotive Production Value 麻豆原创 Share by Application (2019-2030)
6.3 Global Edge AI for Automotive Price by Application (2019-2030)
7 Key Companies Profiled
7.1 STMicroelectronics
7.1.1 STMicroelectronics Edge AI for Automotive Company Information
7.1.2 STMicroelectronics Edge AI for Automotive Product Portfolio
7.1.3 STMicroelectronics Edge AI for Automotive Production, Value, Price and Gross Margin (2019-2024)
7.1.4 STMicroelectronics Main Business and 麻豆原创s Served
7.1.5 STMicroelectronics Recent Developments/Updates
7.2 NVIDIA
7.2.1 NVIDIA Edge AI for Automotive Company Information
7.2.2 NVIDIA Edge AI for Automotive Product Portfolio
7.2.3 NVIDIA Edge AI for Automotive Production, Value, Price and Gross Margin (2019-2024)
7.2.4 NVIDIA Main Business and 麻豆原创s Served
7.2.5 NVIDIA Recent Developments/Updates
7.3 Intel
7.3.1 Intel Edge AI for Automotive Company Information
7.3.2 Intel Edge AI for Automotive Product Portfolio
7.3.3 Intel Edge AI for Automotive Production, Value, Price and Gross Margin (2019-2024)
7.3.4 Intel Main Business and 麻豆原创s Served
7.3.5 Intel Recent Developments/Updates
7.4 AMD
7.4.1 AMD Edge AI for Automotive Company Information
7.4.2 AMD Edge AI for Automotive Product Portfolio
7.4.3 AMD Edge AI for Automotive Production, Value, Price and Gross Margin (2019-2024)
7.4.4 AMD Main Business and 麻豆原创s Served
7.4.5 AMD Recent Developments/Updates
7.5 Google Cloud
7.5.1 Google Cloud Edge AI for Automotive Company Information
7.5.2 Google Cloud Edge AI for Automotive Product Portfolio
7.5.3 Google Cloud Edge AI for Automotive Production, Value, Price and Gross Margin (2019-2024)
7.5.4 Google Cloud Main Business and 麻豆原创s Served
7.5.5 Google Cloud Recent Developments/Updates
7.6 Qualcomm
7.6.1 Qualcomm Edge AI for Automotive Company Information
7.6.2 Qualcomm Edge AI for Automotive Product Portfolio
7.6.3 Qualcomm Edge AI for Automotive Production, Value, Price and Gross Margin (2019-2024)
7.6.4 Qualcomm Main Business and 麻豆原创s Served
7.6.5 Qualcomm Recent Developments/Updates
7.7 NXP
7.7.1 NXP Edge AI for Automotive Company Information
7.7.2 NXP Edge AI for Automotive Product Portfolio
7.7.3 NXP Edge AI for Automotive Production, Value, Price and Gross Margin (2019-2024)
7.7.4 NXP Main Business and 麻豆原创s Served
7.7.5 NXP Recent Developments/Updates
7.8 Kneron
7.8.1 Kneron Edge AI for Automotive Company Information
7.8.2 Kneron Edge AI for Automotive Product Portfolio
7.8.3 Kneron Edge AI for Automotive Production, Value, Price and Gross Margin (2019-2024)
7.8.4 Kneron Main Business and 麻豆原创s Served
7.8.5 Kneron Recent Developments/Updates
7.9 Hailo
7.9.1 Hailo Edge AI for Automotive Company Information
7.9.2 Hailo Edge AI for Automotive Product Portfolio
7.9.3 Hailo Edge AI for Automotive Production, Value, Price and Gross Margin (2019-2024)
7.9.4 Hailo Main Business and 麻豆原创s Served
7.9.5 Hailo Recent Developments/Updates
7.10 Ambarella
7.10.1 Ambarella Edge AI for Automotive Company Information
7.10.2 Ambarella Edge AI for Automotive Product Portfolio
7.10.3 Ambarella Edge AI for Automotive Production, Value, Price and Gross Margin (2019-2024)
7.10.4 Ambarella Main Business and 麻豆原创s Served
7.10.5 Ambarella Recent Developments/Updates
7.11 Hisilicon
7.11.1 Hisilicon Edge AI for Automotive Company Information
7.11.2 Hisilicon Edge AI for Automotive Product Portfolio
7.11.3 Hisilicon Edge AI for Automotive Production, Value, Price and Gross Margin (2019-2024)
7.11.4 Hisilicon Main Business and 麻豆原创s Served
7.11.5 Hisilicon Recent Developments/Updates
7.12 Cambricon
7.12.1 Cambricon Edge AI for Automotive Company Information
7.12.2 Cambricon Edge AI for Automotive Product Portfolio
7.12.3 Cambricon Edge AI for Automotive Production, Value, Price and Gross Margin (2019-2024)
7.12.4 Cambricon Main Business and 麻豆原创s Served
7.12.5 Cambricon Recent Developments/Updates
7.13 Horizon Robotics
7.13.1 Horizon Robotics Edge AI for Automotive Company Information
7.13.2 Horizon Robotics Edge AI for Automotive Product Portfolio
7.13.3 Horizon Robotics Edge AI for Automotive Production, Value, Price and Gross Margin (2019-2024)
7.13.4 Horizon Robotics Main Business and 麻豆原创s Served
7.13.5 Horizon Robotics Recent Developments/Updates
7.14 Black Sesame Technologies
7.14.1 Black Sesame Technologies Edge AI for Automotive Company Information
7.14.2 Black Sesame Technologies Edge AI for Automotive Product Portfolio
7.14.3 Black Sesame Technologies Edge AI for Automotive Production, Value, Price and Gross Margin (2019-2024)
7.14.4 Black Sesame Technologies Main Business and 麻豆原创s Served
7.14.5 Black Sesame Technologies Recent Developments/Updates
8 Industry Chain and Sales Channels Analysis
8.1 Edge AI for Automotive Industry Chain Analysis
8.2 Edge AI for Automotive Key Raw Materials
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.3 Edge AI for Automotive Production Mode & Process
8.4 Edge AI for Automotive Sales and 麻豆原创ing
8.4.1 Edge AI for Automotive Sales Channels
8.4.2 Edge AI for Automotive Distributors
8.5 Edge AI for Automotive Customers
9 Edge AI for Automotive 麻豆原创 Dynamics
9.1 Edge AI for Automotive Industry Trends
9.2 Edge AI for Automotive 麻豆原创 Drivers
9.3 Edge AI for Automotive 麻豆原创 Challenges
9.4 Edge AI for Automotive 麻豆原创 Restraints
10 Research Findings and Conclusion
11 Methodology and Data Source
11.1 Methodology/Research Approach
11.1.1 Research Programs/Design
11.1.2 麻豆原创 Size Estimation
11.1.3 麻豆原创 Breakdown and Data Triangulation
11.2 Data Source
11.2.1 Secondary Sources
11.2.2 Primary Sources
11.3 Author List
11.4 Disclaimer
STMicroelectronics
NVIDIA
Intel
AMD
Google Cloud
Qualcomm
NXP
Kneron
Hailo
Ambarella
Hisilicon
Cambricon
Horizon Robotics
Black Sesame Technologies
听
听
*If Applicable.
