Global Edge AI for Automotive 麻豆原创 Growth 2024-2030

Publication ID:

LPI08245583

Publication Date:

August 8, 2024

Pages:

116

Publisher:

LPI

Countries:

Global [1]

USD 3,660.00

Manufacturing (Automotive) [2]

Components [3]

Automotive [4]

Description:

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 size is projected to grow from US$ 1365 million in 2024 to US$ 3832 million in 2030; it is expected to grow at a CAGR of 18.8% from 2024 to 2030.
The 鈥淓dge AI for Automotive Industry Forecast鈥� looks at past sales and reviews total world Edge AI for Automotive sales in 2023, providing a comprehensive analysis by region and market sector of projected Edge AI for Automotive sales for 2024 through 2030. With Edge AI for Automotive sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Edge AI for Automotive industry.
This Insight Report provides a comprehensive analysis of the global Edge AI for Automotive landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on Edge AI for Automotive portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms鈥� unique position in an accelerating global Edge AI for Automotive market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Edge AI for Automotive and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Edge AI for Automotive.
United States market for Edge AI for Automotive is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.
China market for Edge AI for Automotive is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.
Europe market for Edge AI for Automotive is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.
Global key Edge AI for Automotive players cover STMicroelectronics, NVIDIA, Intel, AMD, Google Cloud, etc. In terms of revenue, the global two largest companies occupied for a share nearly
% in 2023.
This report presents a comprehensive overview, market shares, and growth opportunities of Edge AI for Automotive market by product type, application, key manufacturers and key regions and countries.
Segmentation by Type:
Speech Processing
Machine Vision
Sensing
Segmentation by Application:
ADAS
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analysing the company's coverage, product portfolio, its market penetration.
STMicroelectronics
NVIDIA
Intel
AMD
Google Cloud
Qualcomm
NXP
Kneron
Hailo
Ambarella
Hisilicon
Cambricon
Horizon Robotics
Black Sesame Technologies
Key Questions Addressed in this Report
What is the 10-year outlook for the global Edge AI for Automotive market?
What factors are driving Edge AI for Automotive market growth, globally and by region?
Which technologies are poised for the fastest growth by market and region?
How do Edge AI for Automotive market opportunities vary by end market size?
How does Edge AI for Automotive break out by Type, by Application?

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Scope of the Report
1.1 麻豆原创 Introduction
1.2 Years Considered
1.3 Research Objectives
1.4 麻豆原创 Research Methodology
1.5 Research Process and Data Source
1.6 Economic Indicators
1.7 Currency Considered
1.8 麻豆原创 Estimation Caveats
2 Executive Summary
2.1 World 麻豆原创 Overview
2.1.1 Global Edge AI for Automotive Annual Sales 2019-2030
2.1.2 World Current & Future Analysis for Edge AI for Automotive by Geographic Region, 2019, 2023 & 2030
2.1.3 World Current & Future Analysis for Edge AI for Automotive by Country/Region, 2019, 2023 & 2030
2.2 Edge AI for Automotive Segment by Type
2.2.1 Speech Processing
2.2.2 Machine Vision
2.2.3 Sensing
2.3 Edge AI for Automotive Sales by Type
2.3.1 Global Edge AI for Automotive Sales 麻豆原创 Share by Type (2019-2024)
2.3.2 Global Edge AI for Automotive Revenue and 麻豆原创 Share by Type (2019-2024)
2.3.3 Global Edge AI for Automotive Sale Price by Type (2019-2024)
2.4 Edge AI for Automotive Segment by Application
2.4.1 ADAS
2.4.2 Others
2.5 Edge AI for Automotive Sales by Application
2.5.1 Global Edge AI for Automotive Sale 麻豆原创 Share by Application (2019-2024)
2.5.2 Global Edge AI for Automotive Revenue and 麻豆原创 Share by Application (2019-2024)
2.5.3 Global Edge AI for Automotive Sale Price by Application (2019-2024)
3 Global by Company
3.1 Global Edge AI for Automotive Breakdown Data by Company
3.1.1 Global Edge AI for Automotive Annual Sales by Company (2019-2024)
3.1.2 Global Edge AI for Automotive Sales 麻豆原创 Share by Company (2019-2024)
3.2 Global Edge AI for Automotive Annual Revenue by Company (2019-2024)
3.2.1 Global Edge AI for Automotive Revenue by Company (2019-2024)
3.2.2 Global Edge AI for Automotive Revenue 麻豆原创 Share by Company (2019-2024)
3.3 Global Edge AI for Automotive Sale Price by Company
3.4 Key Manufacturers Edge AI for Automotive Producing Area Distribution, Sales Area, Product Type
3.4.1 Key Manufacturers Edge AI for Automotive Product Location Distribution
3.4.2 Players Edge AI for Automotive Products Offered
3.5 麻豆原创 Concentration Rate Analysis
3.5.1 Competition Landscape Analysis
3.5.2 Concentration Ratio (CR3, CR5 and CR10) & (2019-2024)
3.6 New Products and Potential Entrants
3.7 麻豆原创 M&A Activity & Strategy
4 World Historic Review for Edge AI for Automotive by Geographic Region
4.1 World Historic Edge AI for Automotive 麻豆原创 Size by Geographic Region (2019-2024)
4.1.1 Global Edge AI for Automotive Annual Sales by Geographic Region (2019-2024)
4.1.2 Global Edge AI for Automotive Annual Revenue by Geographic Region (2019-2024)
4.2 World Historic Edge AI for Automotive 麻豆原创 Size by Country/Region (2019-2024)
4.2.1 Global Edge AI for Automotive Annual Sales by Country/Region (2019-2024)
4.2.2 Global Edge AI for Automotive Annual Revenue by Country/Region (2019-2024)
4.3 Americas Edge AI for Automotive Sales Growth
4.4 APAC Edge AI for Automotive Sales Growth
4.5 Europe Edge AI for Automotive Sales Growth
4.6 Middle East & Africa Edge AI for Automotive Sales Growth
5 Americas
5.1 Americas Edge AI for Automotive Sales by Country
5.1.1 Americas Edge AI for Automotive Sales by Country (2019-2024)
5.1.2 Americas Edge AI for Automotive Revenue by Country (2019-2024)
5.2 Americas Edge AI for Automotive Sales by Type (2019-2024)
5.3 Americas Edge AI for Automotive Sales by Application (2019-2024)
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Brazil
6 APAC
6.1 APAC Edge AI for Automotive Sales by Region
6.1.1 APAC Edge AI for Automotive Sales by Region (2019-2024)
6.1.2 APAC Edge AI for Automotive Revenue by Region (2019-2024)
6.2 APAC Edge AI for Automotive Sales by Type (2019-2024)
6.3 APAC Edge AI for Automotive Sales by Application (2019-2024)
6.4 China
6.5 Japan
6.6 South Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
6.10 China Taiwan
7 Europe
7.1 Europe Edge AI for Automotive by Country
7.1.1 Europe Edge AI for Automotive Sales by Country (2019-2024)
7.1.2 Europe Edge AI for Automotive Revenue by Country (2019-2024)
7.2 Europe Edge AI for Automotive Sales by Type (2019-2024)
7.3 Europe Edge AI for Automotive Sales by Application (2019-2024)
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
8 Middle East & Africa
8.1 Middle East & Africa Edge AI for Automotive by Country
8.1.1 Middle East & Africa Edge AI for Automotive Sales by Country (2019-2024)
8.1.2 Middle East & Africa Edge AI for Automotive Revenue by Country (2019-2024)
8.2 Middle East & Africa Edge AI for Automotive Sales by Type (2019-2024)
8.3 Middle East & Africa Edge AI for Automotive Sales by Application (2019-2024)
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries
9 麻豆原创 Drivers, Challenges and Trends
9.1 麻豆原创 Drivers & Growth Opportunities
9.2 麻豆原创 Challenges & Risks
9.3 Industry Trends
10 Manufacturing Cost Structure Analysis
10.1 Raw Material and Suppliers
10.2 Manufacturing Cost Structure Analysis of Edge AI for Automotive
10.3 Manufacturing Process Analysis of Edge AI for Automotive
10.4 Industry Chain Structure of Edge AI for Automotive
11 麻豆原创ing, Distributors and Customer
11.1 Sales Channel
11.1.1 Direct Channels
11.1.2 Indirect Channels
11.2 Edge AI for Automotive Distributors
11.3 Edge AI for Automotive Customer
12 World Forecast Review for Edge AI for Automotive by Geographic Region
12.1 Global Edge AI for Automotive 麻豆原创 Size Forecast by Region
12.1.1 Global Edge AI for Automotive Forecast by Region (2025-2030)
12.1.2 Global Edge AI for Automotive Annual Revenue Forecast by Region (2025-2030)
12.2 Americas Forecast by Country (2025-2030)
12.3 APAC Forecast by Region (2025-2030)
12.4 Europe Forecast by Country (2025-2030)
12.5 Middle East & Africa Forecast by Country (2025-2030)
12.6 Global Edge AI for Automotive Forecast by Type (2025-2030)
12.7 Global Edge AI for Automotive Forecast by Application (2025-2030)
13 Key Players Analysis
13.1 STMicroelectronics
13.1.1 STMicroelectronics Company Information
13.1.2 STMicroelectronics Edge AI for Automotive Product Portfolios and Specifications
13.1.3 STMicroelectronics Edge AI for Automotive Sales, Revenue, Price and Gross Margin (2019-2024)
13.1.4 STMicroelectronics Main Business Overview
13.1.5 STMicroelectronics Latest Developments
13.2 NVIDIA
13.2.1 NVIDIA Company Information
13.2.2 NVIDIA Edge AI for Automotive Product Portfolios and Specifications
13.2.3 NVIDIA Edge AI for Automotive Sales, Revenue, Price and Gross Margin (2019-2024)
13.2.4 NVIDIA Main Business Overview
13.2.5 NVIDIA Latest Developments
13.3 Intel
13.3.1 Intel Company Information
13.3.2 Intel Edge AI for Automotive Product Portfolios and Specifications
13.3.3 Intel Edge AI for Automotive Sales, Revenue, Price and Gross Margin (2019-2024)
13.3.4 Intel Main Business Overview
13.3.5 Intel Latest Developments
13.4 AMD
13.4.1 AMD Company Information
13.4.2 AMD Edge AI for Automotive Product Portfolios and Specifications
13.4.3 AMD Edge AI for Automotive Sales, Revenue, Price and Gross Margin (2019-2024)
13.4.4 AMD Main Business Overview
13.4.5 AMD Latest Developments
13.5 Google Cloud
13.5.1 Google Cloud Company Information
13.5.2 Google Cloud Edge AI for Automotive Product Portfolios and Specifications
13.5.3 Google Cloud Edge AI for Automotive Sales, Revenue, Price and Gross Margin (2019-2024)
13.5.4 Google Cloud Main Business Overview
13.5.5 Google Cloud Latest Developments
13.6 Qualcomm
13.6.1 Qualcomm Company Information
13.6.2 Qualcomm Edge AI for Automotive Product Portfolios and Specifications
13.6.3 Qualcomm Edge AI for Automotive Sales, Revenue, Price and Gross Margin (2019-2024)
13.6.4 Qualcomm Main Business Overview
13.6.5 Qualcomm Latest Developments
13.7 NXP
13.7.1 NXP Company Information
13.7.2 NXP Edge AI for Automotive Product Portfolios and Specifications
13.7.3 NXP Edge AI for Automotive Sales, Revenue, Price and Gross Margin (2019-2024)
13.7.4 NXP Main Business Overview
13.7.5 NXP Latest Developments
13.8 Kneron
13.8.1 Kneron Company Information
13.8.2 Kneron Edge AI for Automotive Product Portfolios and Specifications
13.8.3 Kneron Edge AI for Automotive Sales, Revenue, Price and Gross Margin (2019-2024)
13.8.4 Kneron Main Business Overview
13.8.5 Kneron Latest Developments
13.9 Hailo
13.9.1 Hailo Company Information
13.9.2 Hailo Edge AI for Automotive Product Portfolios and Specifications
13.9.3 Hailo Edge AI for Automotive Sales, Revenue, Price and Gross Margin (2019-2024)
13.9.4 Hailo Main Business Overview
13.9.5 Hailo Latest Developments
13.10 Ambarella
13.10.1 Ambarella Company Information
13.10.2 Ambarella Edge AI for Automotive Product Portfolios and Specifications
13.10.3 Ambarella Edge AI for Automotive Sales, Revenue, Price and Gross Margin (2019-2024)
13.10.4 Ambarella Main Business Overview
13.10.5 Ambarella Latest Developments
13.11 Hisilicon
13.11.1 Hisilicon Company Information
13.11.2 Hisilicon Edge AI for Automotive Product Portfolios and Specifications
13.11.3 Hisilicon Edge AI for Automotive Sales, Revenue, Price and Gross Margin (2019-2024)
13.11.4 Hisilicon Main Business Overview
13.11.5 Hisilicon Latest Developments
13.12 Cambricon
13.12.1 Cambricon Company Information
13.12.2 Cambricon Edge AI for Automotive Product Portfolios and Specifications
13.12.3 Cambricon Edge AI for Automotive Sales, Revenue, Price and Gross Margin (2019-2024)
13.12.4 Cambricon Main Business Overview
13.12.5 Cambricon Latest Developments
13.13 Horizon Robotics
13.13.1 Horizon Robotics Company Information
13.13.2 Horizon Robotics Edge AI for Automotive Product Portfolios and Specifications
13.13.3 Horizon Robotics Edge AI for Automotive Sales, Revenue, Price and Gross Margin (2019-2024)
13.13.4 Horizon Robotics Main Business Overview
13.13.5 Horizon Robotics Latest Developments
13.14 Black Sesame Technologies
13.14.1 Black Sesame Technologies Company Information
13.14.2 Black Sesame Technologies Edge AI for Automotive Product Portfolios and Specifications
13.14.3 Black Sesame Technologies Edge AI for Automotive Sales, Revenue, Price and Gross Margin (2019-2024)
13.14.4 Black Sesame Technologies Main Business Overview
13.14.5 Black Sesame Technologies Latest Developments
14 Research Findings and Conclusion

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