Edge AI Accelerator Market Size, Share, Trends, Industry Analysis Report: By Processor [Central Processing Unit (CPU), Graphics Processing Unit (GPU), Application-Specific Integrated Circuits (ASICs), and Field-Programmable Gate Array (FPGA)], Device, End

The global edge AI accelerator market size is expected to reach USD 110.21 billion by 2034, according to a new study by Polaris Market Research. The report “Global Edge AI Accelerator Market Size, Share, Trends, Industry Analysis Report: By Processor [Central Processing Unit (CPU), Graphics Processing Unit (GPU), Application-Specific Integrated Circuits (ASICs), and Field-Programmable Gate Array (FPGA)], Device, End Use, Function, and Region (North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa) – Market Forecast, 2025 - 2034” gives a detailed insight into current market dynamics and provides analysis on future market growth.

Edge AI accelerators are specialized hardware components designed to optimize the performance of AI workloads at the edge, enabling faster inference and training of machine learning models. These accelerators include GPUs (Graphics Processing Units), FPGAs (Field-Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), and NPUs (Neural Processing Units). The need for real-time processing, reduced bandwidth usage, and enhanced privacy is propelling the edge AI accelerators market growth.

The increasing demand for real-time data processing in various industries is fueling the edge AI accelerators market expansion. Traditional cloud-based AI systems often suffer from latency issues due to the time required to send data to remote servers for processing and then receive the results. In contrast, Edge AI accelerators enable data processing directly on the device, significantly reducing latency and ensuring faster response times. This capability is particularly crucial in applications where milliseconds matter, such as autonomous vehicles, industrial automation, and smart city infrastructure.

The growing emphasis on privacy and security in an increasingly connected world is boosting edge AI accelerators market revenue. Transmitting data to centralized cloud servers for processing increases the risk of interception and misuse, especially in industries such as healthcare, finance, and defense, where confidentiality is critical. Edge AI accelerators address these concerns by enabling data processing to occur locally on the device, minimizing the need to transfer sensitive information over networks.

Edge AI Accelerator Market Report Highlights

In terms of processor, the graphics processing unit (GPU) segment held a major market share in 2024 due to its unparalleled processing capabilities and flexibility in handling complex AI workloads at the edge.

Based on device, the smartphone segment dominated the edge AI accelerator market share in 2024 due to the widespread integration of AI features and the proliferation of 5G technology.

In the global market, North America held the largest edge AI accelerator market share in 2024 due to its strong technological ecosystem, robust investment in AI research, and early adoption of advanced computing solutions.

Some of the global key market players are Apple Inc.; EdgeCortix Inc.; Google LLC; Hailo Technologies Ltd.; Huawei Technologies Co., Ltd.; IBM; Intel Corporation; Infineon; Mythic; NVIDIA Corporation; Qualcomm Technologies, Inc.; and Rapidus Corporation.

Polaris Market Research has segmented the edge AI accelerator market report based on processor, device, end use, function, and region:

By Processor Outlook (Revenue, USD Billion, 2020-2034)

Central Processing Unit (CPU)

Graphics Processing Unit (GPU)

Application-Specific Integrated Circuits (ASICs)

Field-Programmable Gate Array (FPGA)

By Device Outlook (Revenue, USD Billion, 2020-2034)

Smartphones

IoT Devices

Robots

Cameras

By End Use Outlook (Revenue, USD Billion, 2020-2034)

Healthcare

Natural Language Processing (NLP)

Retail

Manufacturing

Security and Surveillance

Others

By Function Outlook (Revenue, USD Billion, 2020-2034)

Training

Interference

By Regional Outlook (Revenue, USD Billion, 2020-2034)

North America

US

Canada

Europe

Germany

France

UK

Italy

Spain

Netherlands

Russia

Rest of Europe

Asia-Pacific

China

Japan

India

Malaysia

South Korea

Indonesia

Australia

Vietnam

Rest of Asia-Pacific

Middle East & Africa

Saudi Arabia

UAE

Israel

South Africa

Rest of Middle East & Africa

Latin America

Mexico

Brazil

Argentina

Rest of Latin America