Report Title:2025-2031 Global and China Edge AI Device Market Status and Future Development TrendsTable of Contents
[Report Publisher]: QYResearch Industry Research Institute
According to statistics and forecasts from QYResearch, the global edge AI device market sales reached $19.62 billion in 2024, and it is expected to reach $70.6 billion by 2031, with a compound annual growth rate (CAGR) of 23.5% (2025-2031). Regionally, the Chinese market has changed rapidly in recent years, with a market size of $ million in 2024, accounting for approximately % of the global market, and it is expected to reach $ million by 2031, at which point the global share will reach %.
Edge AI devices refer to devices that perform artificial intelligence (AI) processing at or near the data generation source. Unlike traditional cloud computing models, Edge AI Devices do not require all data to be transmitted to the cloud for processing; instead, they complete computation and analysis locally or at the edge nodes. This approach reduces latency, bandwidth consumption, and enhances data privacy and security.
In terms of consumption, currently, the region is the largest consumer market globally, accounting for % of the market share in 2024, followed by and , which account for % and % respectively. It is expected that the region will experience the fastest growth in the coming years, with a CAGR of approximately % from 2025 to 2031.
On the production side, North America and Europe are two important production regions, accounting for % and % of the market share in 2024, respectively. It is expected that the region will maintain the fastest growth rate in the coming years, with a market share expected to reach % by 2031.
In terms of product types, GPU-based devices hold a significant position, with an expected market share of % by 2031. In terms of applications, autonomous driving accounted for approximately % in 2024, with a projected CAGR of % in the coming years.
Globally, the core manufacturers of edge AI devices include NVIDIA, Intel, Qualcomm, Google, Apple, AMD, Huawei, Samsung, Texas Instruments (TI), ARM, and others. In 2024, the leading manufacturers include , and , with the first tier accounting for approximately % of the market share; the second tier includes , , and others, collectively accounting for % share.
This report studies the production capacity, output, sales volume, sales revenue, prices, and future trends of edge AI devices in the global and Chinese markets. It focuses on analyzing the product characteristics, specifications, prices, sales volumes, sales revenues, and market shares of major manufacturers in the global and Chinese markets. Historical data is from 2020 to 2024, and forecast data is from 2025 to 2031.
Main manufacturers include:
NVIDIA
Intel
Qualcomm
Apple
AMD
Huawei
Samsung
Texas Instruments (TI)
ARM
IBM
Microsoft
Amazon Web Services (AWS)
According to different product types, they can be categorized as follows:
CPU-based
GPU-based
ASIC-based
Others
According to different applications, the main areas include:
Autonomous driving
Industrial automation
Healthcare
Others
Key regions of focus include:
North America
Europe
China
Japan
South Korea
This article consists of 10 chapters, with the main content of each chapter as follows:
Chapter 1: Report statistical scope, product segmentation, and major downstream markets, industry background, development history, current status, and trends.
Chapter 2: Global overall scale (production capacity, output, sales volume, demand, sales revenue, etc., 2020-2031).
Chapter 3: Competitive analysis of major manufacturers of edge AI devices globally, including production capacity, sales volume, revenue, market share, prices, production locations, and industry concentration analysis.
Chapter 4: Analysis of major regions for edge AI devices globally, including sales volume, sales revenue, etc.
Chapter 5: Basic information about major manufacturers of edge AI devices globally, including company profiles, product models, sales volumes, revenues, prices, and latest developments.
Chapter 6: Sales volume, revenue, prices, and shares of edge AI devices by different product types globally.
Chapter 7: Sales volume, revenue, prices, and shares of edge AI devices by different applications globally.
Chapter 8: Industry chain, upstream and downstream analysis, sales channels, and customer analysis.
Chapter 9: Industry dynamics, growth drivers, development opportunities, favorable factors, adverse and hindering factors, industry policies, etc.
Chapter 10: Report conclusions.
Appendix:
11.1 Research methods.
11.2 Data sources.
11.2.1 Secondary information sources.
11.2.2 Primary information sources.
11.3 Data interaction verification.
11.4 Disclaimer.
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