Global Edge AI Devices Market Growth 2025-2031

The global Edge AI Devices market size is predicted to grow from US$ 19460 million in 2025 to US$ 72060 million in 2031; it is expected to grow at a CAGR of 24.4% from 2025 to 2031.

Edge AI Devices are devices that perform artificial intelligence (AI) processing at or near the source of data generation. Unlike the traditional cloud computing model, Edge AI Devices do not need to transmit all data to the cloud for processing, but instead complete calculations and analysis locally or on edge nodes. This approach reduces latency, bandwidth consumption, and improves data privacy and security.

United States market for Edge AI Devices is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

China market for Edge AI Devices is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Europe market for Edge AI Devices is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Global key Edge AI Devices players cover NVIDIA, Intel, Qualcomm, Google, Apple, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.

LP Information, Inc. (LPI) ' newest research report, the “Edge AI Devices Industry Forecast” looks at past sales and reviews total world Edge AI Devices sales in 2024, providing a comprehensive analysis by region and market sector of projected Edge AI Devices sales for 2025 through 2031. With Edge AI Devices sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Edge AI Devices industry.

This Insight Report provides a comprehensive analysis of the global Edge AI Devices 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 Devices portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Edge AI Devices market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Edge AI Devices 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 Devices.

This report presents a comprehensive overview, market shares, and growth opportunities of Edge AI Devices market by product type, application, key manufacturers and key regions and countries.

Segmentation by Type:
CPU based
GPU based
ASIC based
Others

Segmentation by Application:
Autonomous Driving
Industrial Automation
Healthcare
Other

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.
NVIDIA
Intel
Qualcomm
Google
Apple
AMD
Huawei
Samsung
Texas Instruments (TI)
ARM
IBM
Microsoft
Amazon Web Services (AWS)

Key Questions Addressed in this Report

What is the 10-year outlook for the global Edge AI Devices market?

What factors are driving Edge AI Devices market growth, globally and by region?

Which technologies are poised for the fastest growth by market and region?

How do Edge AI Devices market opportunities vary by end market size?

How does Edge AI Devices break out by Type, by Application?

Please note: The report will take approximately 2 business days to prepare and deliver.