Edge AI Hardware Market Size & Trends | Mordor Intelligence
Mordor Intelligence has published a new report on the edge AI hardware market, offering a comprehensive analysis of trends, growth drivers, and future projections.
Edge AI Hardware Market Outlook
According to Mordor Intelligence, the edge AI hardware market size was valued at USD 26.17 billion in 2025 and is estimated to grow to USD 30.74 billion in 2026, with projections indicating it will reach USD 68.73 billion by 2031, registering a CAGR of 17.46% during the forecast period. This strong edge artificial intelligence hardware market growth reflects the rising adoption of local data processing capabilities that reduce latency, strengthen data privacy, and improve energy efficiency.
The edge AI hardware industry is gaining traction across consumer electronics, automotive systems, industrial equipment, and healthcare devices. With advancements in processor design and growing demand for real-time analytics, edge AI hardware market share is expanding in both established and emerging economies. Governments are supporting domestic semiconductor manufacturing initiatives, while telecom operators are enabling distributed computing with new network infrastructure.
Report overview: https://www.mordorintelligence.com/industry-reports/edge-ai-hardware-market?utm_source=openpr
Edge Artificial Intelligence Hardware Growth Drivers
AI-Enabled Personal Computing Expansion
Personal computers and laptops are increasingly integrating neural processing units that allow AI features to run directly on the device. This enables applications like voice assistants, image generation, and translation without internet access. On-device processing improves speed, privacy, and efficiency. As more devices include AI hardware, demand for edge AI components continues to grow.
AI Integration in Smartphones
Smartphone manufacturers are adding specialized AI processors to improve performance and battery efficiency. These processors support features such as voice recognition, camera enhancements, and augmented reality. AI capabilities are becoming standard in modern smartphones. This trend encourages consumers to upgrade devices, supporting market growth.
Growth of Edge Computing in Telecom Networks
Telecom providers are deploying computing infrastructure closer to users to reduce delays and improve performance. This supports applications like video analytics, smart cities, and immersive digital experiences. Edge computing reduces dependence on centralized cloud systems. As a result, demand for edge AI hardware in telecom networks is increasing.
Rising Use of AI Hardware in Automotive Safety
Modern vehicles use AI hardware for driver assistance features such as lane detection and emergency braking. These systems require fast, real-time processing to improve safety. Edge AI allows vehicles to process data locally without relying on cloud connectivity. Increasing safety standards are driving higher adoption of AI hardware in the automotive industry.
Check out more details and stay updated with the latest industry trends, including the Japanese version for localized insights: https://www.mordorintelligence.com/ja/industry-reports/edge-ai-hardware-market?utm_source=openpr
Edge AI Hardware Market Segmentation
By Processor
CPU
GPU
FPGA
ASIC
NPU
By Device
Smartphones
Cameras and Smart Vision Sensors
Robots and Drones
Wearables
Smart Speakers and Home Hubs
Other Edge Devices
By End-User Industry
Consumer Electronics
Automotive and Transportation
Manufacturing and Industrial IoT
Healthcare
Government and Public Safety
Other End-User Industries
By Deployment Location
Device Edge
Near Edge Servers
Far Edge / MEC
Cloud-Assisted Hybrid
By Geography
North America
United States
Canada
Mexico
South America
Brazil
Argentina
Rest of South America
Europe
Germany
United Kingdom
France
Italy
Spain
Rest of Europe
Asia-Pacific
China
Japan
South Korea
India
Singapore
Australia
Rest of Asia-Pacific
Middle East and Africa
Middle East
Saudi Arabia
United Arab Emirates
Turkey
Rest of Middle East
Africa
South Africa
Nigeria
Egypt
Rest of Africa
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Edge AI Hardware Industry Key Players
NVIDIA Corporation
Intel Corporation
Qualcomm Incorporated
Samsung Electronics Co., Ltd.
Apple Inc.
Explore more insights on edge AI hardware competitive landscape: https://www.mordorintelligence.com/industry-reports/edge-ai-hardware-market/companies?utm_source=openpr
Conclusion
The edge AI hardware market is expected to maintain strong growth as organizations prioritize real-time processing, improved data security, and reduced network dependency. The ability to process data locally enables faster decision-making and improves operational efficiency across industries. As enterprises adopt AI-enabled devices and systems, edge artificial intelligence hardware market growth will continue across consumer, industrial, and automotive sectors.
The expansion of telecommunications infrastructure, increased semiconductor investment, and growing adoption of AI-enabled devices are strengthening the edge AI hardware industry outlook. These developments support increased deployment of AI-capable hardware across various environments, from personal devices to industrial systems.
For more insights on edge AI hardware market, please visit the Mordor Intelligence page: https://www.mordorintelligence.com/industry-reports/edge-ai-hardware-market?utm_source=openpr
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