April 18, 2025
ICT

Edge AI Accelerator Market Size to Cross 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 cross around USD 113.71 billion by 2034, growing at a CAGR of 30.83%.

Edge AI Accelerator Market Size 2025 to 2034

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Edge AI Accelerator Market Key Highlights

  • In 2024, North America held the top spot in the global market with a 40% share.

  • Between 2025 and 2034, Asia Pacific is predicted to grow at the fastest pace.

  • CPUs accounted for the largest share among processors in 2024 at 35%.

  • ASICs are expected to witness substantial growth throughout the forecast period.

  • Among devices, smartphones dominated the market in 2024.

  • IoT devices are anticipated to register a strong CAGR over the next decade.

  • Automotive was the primary end-use sector in 2024.

  • Manufacturing is set to emerge as the fastest-growing end-use segment by 2034.

Market Overview

The edge AI accelerator market is evolving rapidly, offering specialized hardware designed to run AI models efficiently at the device level. These accelerators reduce dependence on cloud infrastructure by enabling faster data processing and analysis at the edge. The trend is aligned with growing interest in edge computing, where performance, energy efficiency, and real-time analytics are key.

Market Scope

Report Coverage Details
Market Size by 2034 USD 113.71 Billion
Market Size in 2025 USD 10.13 Billion
Market Size in 2024 USD 7.74 Billion
Market Growth Rate from 2025 to 2034 CAGR of 30.83%
Dominated Region North America
Fastest Growing Market Asia Pacific
Base Year 2024
Forecast Period 2025 to 2034
Segments Covered Processor, Device, End-Use, and Regions
Regions Covered North America, Europe, Asia-Pacific, Latin America and Middle East & Africa

Market Dynamics

Market Drivers

Rising demand for real-time decision-making in connected devices is a major growth driver. Applications such as autonomous drones, smart cameras, and industrial robots require localized intelligence, which edge AI accelerators deliver. Additionally, advancements in AI chip design and increasing edge device deployment are contributing to market expansion.

Opportunities

There is tremendous potential in sectors like retail, where edge AI supports smart shelves and customer analytics, and logistics, where it enables real-time tracking and automation. Collaboration between semiconductor firms and AI startups can also lead to breakthrough innovations in chip performance and application range.

Challenges

The market faces challenges including limited compatibility across hardware platforms and power constraints in smaller devices. Moreover, the complexity of deploying machine learning models at the edge requires specialized skills, posing a talent gap for enterprises.

Regional Insights

North America leads the market, backed by the presence of major chipmakers and AI solution providers. Asia Pacific is projected to grow swiftly due to large-scale manufacturing and increasing investment in smart infrastructure. Europe continues to contribute steadily, particularly in automotive and public safety applications.

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.”

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

Edge AI Accelerator Market Companies

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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