Global Edge AI for Automotive Market Growth 2024-2030

Global Edge AI for Automotive Market Growth 2024-2030

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.

LP Information, Inc. (LPI) ' newest research report, the “Edge AI for Automotive Industry Forecast” 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’ 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: The report will take approximately 2 business days to prepare and deliver.