Dublin, Feb. 24, 2025 (GLOBE NEWSWIRE) -- The "Edge AI Hardware - Global Strategic Business Report" has been added to ResearchAndMarkets.com's offering.

The global market for Edge AI Hardware was sized at 2.3 Billion Units in 2024 and is projected to reach 6 Billion Units by 2030, growing at a CAGR of 17.6% from 2024 to 2030. This comprehensive report provides an in-depth analysis of market trends, drivers, and forecasts, helping you make informed business decisions.

Report Features:

• Comprehensive Market Data: Independent analysis of annual sales and market forecasts in US$ Million from 2024 to 2030.
• In-Depth Regional Analysis: Detailed insights into key markets, including the U.S., China, Japan, Canada, Europe, Asia-Pacific, Latin America, Middle East, and Africa.
• Company Profiles: Coverage of major players such as Adapteva Inc., Alphabet, Apple, Applied Brain Research, ARM and more.
• Complimentary Updates: Receive free report updates for one year to keep you informed of the latest market developments.

Growth in the edge AI hardware market is driven by several factors, including technological advancements, expanding use cases across diverse sectors, and the increasing demand for real-time data processing. Continuous improvements in semiconductor technology have led to more powerful and energy-efficient processors, enabling advanced AI functionalities on compact, low-power edge devices. The rise of IoT and smart devices has fueled demand for edge AI hardware, as industries seek local data processing capabilities to reduce latency, bandwidth usage, and energy consumption.

Consumer expectations for fast, reliable, and private data processing on personal devices are also driving the adoption of edge AI hardware in consumer electronics, from smart home systems to wearable devices. Furthermore, the industrial sector is embracing edge AI hardware for predictive maintenance, quality control, and real-time monitoring, while the automotive sector relies on it to enhance safety and performance in autonomous and semi-autonomous vehicles.

In healthcare, edge AI hardware enables the secure, real-time analysis of patient data on medical devices, which aligns with regulatory compliance and privacy concerns. Additionally, the advent of 5G networks has opened new opportunities for edge AI hardware in telecommunications, supporting low-latency applications in VR, AR, and mobile gaming. Smart city initiatives are also promoting the use of edge AI for real-time data processing in urban infrastructure, such as traffic management, surveillance, and environmental monitoring.

As more sectors recognize the value of processing data at the edge for faster, more efficient operations, the edge AI hardware market is poised for sustained growth, driven by a combination of innovation in AI processing technology and the expanding scope of real-time applications across industries.

Report Scope

The report analyzes the Edge AI Hardware market, presented in terms of market value (US$ Thousand). The analysis covers the key segments and geographic regions outlined below.

Segments

Processors (CPU, GPU, ASIC, Other Processors); Process (Inference, Training); End-Use (Consumer Electronics, Smart Home, Automotive & Transportation, Government, Healthcare, Industrial, Other End-Uses).

Geographic Regions/Countries

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Key Insights:

• Market Growth: Understand the significant growth trajectory of the CPU Processors segment, which is expected to reach 2.1 Billion Units by 2030 with a CAGR of a 15.8%. The GPU Processors segment is also set to grow at 16.9% CAGR over the analysis period.
• Regional Analysis: Gain insights into the U.S. market, sized at 635 Million Units in 2024, and China, forecasted to grow at an impressive 16.7% CAGR to reach 912.8 Million Units by 2030. Discover growth trends in other key regions, including Japan, Canada, Germany, and the Asia-Pacific.

Key Questions Answered:

• How is the Global Edge AI Hardware Market expected to evolve by 2030?
• What are the main drivers and restraints affecting the market?
• Which market segments will grow the most over the forecast period?
• How will market shares for different regions and segments change by 2030?
• Who are the leading players in the market, and what are their prospects?

Some of the 34 major companies featured in this Edge AI Hardware market report include:

• Adapteva, Inc.
• Alphabet
• Apple
• Applied Brain Research
• ARM
• Cadence
• Ceva
• General Vision
• Hailo
• Horizon Robotics
• Huawei
• Imagination Technologies
• Intel Corporation
• Mediatek
• Micron Technology
• Microsoft Corporation
• Mythic
• NVIDIA Corporation
• Qualcomm
• Samsung Electronics
• Securerf Corporation
• Synopsys Inc
• Tenstorrent
• Thinci
• Verisilicon
• Videantis
• Xilinx

Key Attributes

MARKET OVERVIEW

• Influencer Market Insights
• World Market Trajectories
• Global Economic Update
• Edge AI Hardware - Global Key Competitors Percentage Market Share in 2025 (E)
• Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2025 (E)

MARKET TRENDS & DRIVERS

• Growing Demand for Real-Time Data Processing at the Edge Drives Adoption of High-Performance Edge AI Hardware Solutions
• Expansion of Industrial Automation and IoT Fuels Demand for Edge AI Hardware in Smart Factories and Manufacturing
• Increasing Use of Edge AI Hardware in Autonomous Vehicles for Real-Time Navigation and Object Detection Supports Market Growth
• Advancements in Semiconductor Technology Enhance Processing Capabilities and Efficiency of Edge AI Hardware
• Rising Focus on Reducing Latency in IoT Applications Drives Demand for Edge AI Hardware with Fast Data Processing
• Growing Deployment of Edge AI Hardware in Smart Cities for Traffic Management, Surveillance, and Environmental Monitoring
• Increasing Use of Edge AI Hardware in Healthcare for Real-Time Patient Monitoring and Diagnostic Imaging Expands Market
• Focus on Energy Efficiency in Edge Devices Supports Development of Low-Power Edge AI Hardware Solutions
• Growing Popularity of Wearable and Portable Edge AI Devices Fuels Market for Compact, High-Performance Hardware
• Expansion of Edge AI Hardware in Retail for Customer Insights, Inventory Management, and Automated Checkouts
• Rising Adoption of Edge AI Hardware in Agriculture for Precision Farming and Real-Time Crop Monitoring
• Growing Demand for Enhanced Security in Financial and Retail Sectors Drives Adoption of Edge AI Hardware for Fraud Detection
• Increasing Adoption of Edge AI Hardware in Telecommunications for Network Optimization and Infrastructure Management
• Growing Application of Edge AI Hardware in Robotics for Autonomous Navigation and Real-Time Decision-Making

For more information about this report visit https://www.researchandmarkets.com/r/rmo39p

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• Edge AI Hardware Market