Edge AI Accelerator Market Size to Attain USD 113.71 Billion by 2034

The global edge AI accelerator market size was valued at USD 7.74 billion in 2024 and is expected to attain around USD 113.71 billion by 2034, growing at a CAGR of 30.83%.

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Edge AI Accelerator Market Key Highlights

• North America captured the largest market share in 2024, representing 40% of global revenue.

• Asia Pacific is projected to lead in growth from 2025 to 2034.

• The CPU category led all processor types in 2024 with a 35% share.

• ASICs are likely to grow at an impressive CAGR in the forecast years.

• The smartphones category generated the highest revenue among devices in 2024.

• IoT devices are poised for accelerated growth during the projection period.

• Automotive remained the top contributor by end-use in 2024.

• The manufacturing segment is expected to gain momentum and grow rapidly through 2034.

Market Overview

The edge AI accelerator market is gaining significant momentum as demand grows for faster, more efficient processing of AI workloads directly on edge devices. These accelerators enable real-time decision-making without relying on centralized cloud infrastructure, reducing latency and enhancing data privacy. Industries like automotive, healthcare, manufacturing, and consumer electronics are integrating edge AI to power smart applications such as autonomous vehicles, predictive maintenance, and intelligent surveillance systems.

Edge AI Accelerator Market Scope

Market Drivers

Key drivers of this market include the increasing adoption of IoT devices and the demand for low-latency AI processing. As more devices operate independently at the network edge, there is a pressing need for dedicated processors that can handle complex AI tasks locally. The rise of 5G connectivity also supports edge computing environments, further propelling the demand for edge AI accelerators.

Opportunities

Emerging use cases across sectors present vast growth opportunities. In healthcare, edge AI enables faster diagnostics through medical imaging, while in smart cities, it supports real-time traffic and safety management. The growth of wearables and embedded AI in consumer devices opens new avenues for manufacturers and technology providers.

Challenges

Despite rapid growth, the market faces hurdles such as high development costs, hardware integration complexities, and lack of standardized frameworks. Smaller companies may find it difficult to keep up with the pace of innovation due to resource limitations and intense competition from established players.

Regional Insight

North America holds the largest market share, thanks to strong R&D capabilities and early adoption of AI across industries. Asia Pacific is expected to witness the fastest growth, driven by expanding industrial automation and consumer electronics sectors in countries like China, Japan, and South Korea. Europe maintains a stable presence with a focus on regulatory compliance and innovation in automotive and manufacturing domains.

Leader’s Announcement

• In May 2024, EdgeCortix Inc., an edge AI firm from Japan, launched the SAKURA-II edge AI accelerator tailored for energy-efficient processing of generative AI tasks. This state-of-the-art accelerator is capable of delivering 60 trillion operations per second while consuming only 8 W. Sakyasingha Dasgupta, CEO and Founder of EdgeCortix, said, “SAKURA-II’s impressive 60 TOPS performance within 8W of typical power consumption, combined with its mixed-precision and built-in memory compression capabilities, positions it as a pivotal technology for the latest Generative AI solutions at the edge.”

Edge AI Accelerator Market Recent Developments

• In June 2024, ADLINK Technology Inc. is presenting cutting-edge edge AI solutions at COMPUTEX 2024, partnering with NVIDIA Corporation to elevate applications in smart manufacturing, healthcare, smart transportation, and AI graphics. Notable products include the DLAP-211-Orin Series, designed for optimizing smart parking, the MLB-IGX medical box PC for real-time medical navigation, and the NEON-2000-ONO Series AI smart camera aimed at boosting manufacturing efficiency, all leveraging NVIDIA’s state-of-the-art AI and GPU technologies for edge computing.
• In June 2024, Raspberry Pi joined forces with HAILO TECHNOLOGIES LTD to introduce the Raspberry Pi AI Kit. This kit features the Raspberry Pi 5 paired with a Hailo-8L accelerator for effective AI processing at the edge. It caters to both industrial users and hobbyists, providing significant computing power while consuming minimal energy.

Edge AI Accelerator Market Companies

• Apple Inc.
• EdgeCortix Inc.
• Hailo Technologies Ltd.
• Huawei Technologies Co., Ltd.
• International Business Machines Corporation (IBM)
• Intel Corporation
• Google LLC
• NVIDIA Corporation
• Qualcomm Technologies, Inc.
• Rapidus Corporation

Segments Covered in the Report

By Processor

• Central Processing Unit (CPU)
• Graphics Processing Unit (GPU)
• Application-Specific Integrated Circuits (ASICs)
• Field-Programmable Gate Array (FPGA)

By Device

• Smartphones
• IoT Devices
• Robots
• Cameras

By End-use

• Healthcare
• Automotive
• Retail
• Manufacturing
• Security and Surveillance
• Others

By Region

• North America
• Europe
• Asia-Pacific
• Latin America
• Middle East and Africa

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