Global Edge AI Accelerator Market Size To Exceed USD 94.61 Billion by 2033: Market Study Report

RELEASE DATE: May 2025 Author: Spherical Insights
The Global Edge AI Accelerator Market Size is Expected to Grow from USD 6.30 Billion in 2023 to USD 94.61 Billion by 2033, at a CAGR of 31.12% during the forecast period 2023-2033.

Table of Contents

Historical Data, Premium Insights, Market Dynamic, Analysis and Projection, By Product, Analysis and Projection, By Application, Analysis and Projection, By End-Use, Analysis and Projection, By Regional Analysis, Competitive Landscape, Company Profiles, Market Revenue, Sale & Price Analysis


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Global Edge AI Accelerator Market Size To Exceed USD 94.61 Billion by 2033 

According to a research report published by Spherical Insights & Consulting, the Global Edge AI Accelerator Market Size is Expected to Grow from USD 6.30 Billion in 2023 to USD 94.61 Billion by 2033, at a CAGR of 31.12% during the forecast period 2023-2033.                       

 

Browse 210 market data Tables and 45 Figures spread through 190 Pages and in-depth TOC on the Global Edge AI Accelerator Market Size, Share, and COVID-19 Impact Analysis, By Processor (CPU, GPU, ASIC, and FPGA), By Device (Smartphones and IoT Devices), and By Region (North America, Europe, Asia Pacific, Latin America, Middle East, and Africa), Analysis and Forecast 2023 – 2033                                   

 

The edge AI accelerator market refers to the industry focused on hardware and software solutions designed to enhance artificial intelligence (AI) processing at the edge of networks rather than relying on centralized cloud computing. These accelerators enable real-time data processing, lower latency, and improved efficiency for AI-driven applications across various industries. Moreover, the edge AI accelerator market is driven by rising demand for real-time AI processing, increasing adoption of IoT and smart devices, advancements in AI chip technology, the need for low-latency applications, and growing use in industries like healthcare, automotive, and industrial automation for enhanced efficiency, security, and operational intelligence. However, restraints include high development costs, complex integration with existing systems, limited AI model compatibility, power constraints in edge devices, data privacy concerns, and the need for specialized expertise in AI hardware and software.

 

The CPU events segment accounted for the largest share of the global edge AI accelerator market in 2023 and is anticipated to grow at a significant CAGR during the forecast period.

Based on the processor, the global edge AI accelerator market is divided into CPU, GPU, ASIC, and FPGA. Among these, the live CPU segment accounted for the largest share of the global edge AI accelerator market in 2023 and is anticipated to grow at a significant CAGR during the forecast period. This is due to their high computational power, parallel processing capabilities, and widespread adoption in AI-driven edge applications, including autonomous vehicles, robotics, healthcare, and industrial automation, where real-time data processing and deep learning inference are essential.  

 

The IoT devices segment accounted for a substantial share of the global edge AI accelerator market in 2023 and is anticipated to grow at a rapid pace during the projected period.

On the basis of the device, the global edge AI accelerator market is divided into smartphones and IoT devices. Among these, the IoT devices segment accounted for a substantial share of the global edge AI accelerator market in 2023 and is anticipated to grow rapidly during the projected period. This is driven by the increasing adoption of smart homes, industrial automation, healthcare, and autonomous systems. The demand for real-time AI processing, low-latency decision-making, and energy-efficient AI solutions further boosts the growth of edge AI in IoT applications.

 

North America is projected to hold the largest share of the global edge AI accelerator market over the projected period.  

North America is projected to hold the largest share of the global edge AI accelerator market over the projected period. This is driven by strong AI research, advanced semiconductor industries, high adoption of IoT and smart devices, and growing demand for real-time AI processing in industries like healthcare, automotive, and industrial automation, supported by major tech companies and government initiatives.

 

Asia Pacific is expected to grow at the fastest CAGR of the global edge AI accelerator market during the projected period. This is due to rapid industrial automation, expanding 5G networks, increasing smartphone penetration, and strong semiconductor manufacturing in countries like China, Japan, and South Korea, driving market growth, along with rising adoption of AI-powered IoT devices across various industries.

 

Company Profiling

Major vendors in the global edge AI accelerator market are Intel Corporation, NVIDIA Corporation, Qualcomm Technologies, Inc., Google LLC, Apple Inc., Huawei Technologies Co., Ltd., IBM (International Business Machines Corporation), Hailo Technologies Ltd., EdgeCortix Inc., Rapidus Corporation, and others.

 

Key Target Audience

  • Market Players
  • Investors
  • End-users
  • Government Authorities 
  • Consulting and Research Firm
  • Venture capitalists
  • Value-Added Resellers (VARs)

 

Recent Development

  • In July 2024, EdgeCortix Inc., a Japan-based edge AI and computing solutions provider, unveiled the SAKURA-II edge AI accelerator for power-efficient processing of generative AI applications. The next-gen accelerator clocks 60 trillion operations per second at only 8 W. It comes with superior features like sparse computation and high-capacity DRAM, which make it an unstoppable performer in manufacturing, security, and telecommunications industries.

 

Market Segment

This study forecasts revenue at global, regional, and country levels from 2023 to 2033. Spherical Insights has segmented the global edge AI accelerator market based on the below-mentioned segments:   

 

Global Edge AI Accelerator Market, By Processor

  • CPU
  • GPU
  • ASIC
  • FPGA

 

Global Edge AI Accelerator Market, By Device

  • Smartphones
  • IoT Devices

 

Global Edge AI Accelerator Market, By Regional

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • France
    • Italy
    • Spain
    • Russia
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Middle East & Africa
    • UAE
    • Saudi Arabia
    • Qatar
    • South Africa
    • Rest of the Middle East & Africa

 

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