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Asia Pacific Edge AI Accelerator Market Size, Share & Trends Analysis Report By Processor, By Device (Smartphones, IoT Devices, Robots, and Cameras), By End Use, By Country and Growth Forecast, 2024 - 2031

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    Report

  • 139 Pages
  • April 2025
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6077204
The Asia Pacific Edge AI Accelerator Market is expected to witness market growth of 30.8% CAGR during the forecast period (2024-2031).

The China market dominated the Asia Pacific Edge AI Accelerator Market by country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $3.67 billion by 2031. The Japan market is experiencing a CAGR of 30% during 2024-2031. Additionally, the India market is expected to exhibit a CAGR of 32% during 2024-2031.



Healthcare is another domain where edge AI accelerators are making a significant impact. Wearable devices and medical imaging systems equipped with these accelerators can perform real-time patient monitoring and diagnostics, enabling faster decision-making in critical situations. For instance, AI-powered edge devices can analyze medical images locally to detect anomalies, reducing the need to transmit sensitive data to external servers and improving patient privacy. In consumer electronics, smartphones, smart speakers, and wearables increasingly incorporate edge AI accelerators to support features like natural language processing, image recognition, and personalized recommendations. These applications enhance user experiences by delivering seamless, responsive interactions without draining device batteries or requiring constant internet connectivity.

The adoption of edge AI accelerators is gaining momentum as organizations recognize the advantages of localized AI processing over traditional cloud-centric approaches. Industries are increasingly integrating these accelerators to address the growing need for real-time analytics, reduced latency, and enhanced data security. The shift is particularly pronounced in sectors where instantaneous decision-making is critical, such as automotive, healthcare, and manufacturing. Businesses are drawn to the technology’s ability to overcome bandwidth limitations and privacy concerns, making it a practical solution for environments with vast data flows or strict regulatory requirements.

Singapore boasts one of the highest smartphone penetration rates in the world, at 88% overall and 100% among individuals aged 15-24 in 2021. This high mobile adoption fuels demand for AI-powered edge computing in mobile applications, including AI-driven assistants, augmented reality (AR), and smart financial services. As 5G networks expand, Edge AI accelerators are becoming crucial for enabling faster, more efficient AI inference on mobile devices, reducing reliance on cloud processing. Additionally, Singapore’s push toward smart urban development is increasing the need for Edge AI-powered real-time analytics in security, transportation, and e-commerce areas. Therefore, India’s cloud-driven digital transformation, China’s expanding IoT sector, and Singapore’s high smartphone penetration collectively propel the market's growth.

List of Key Companies Profiled

  • Apple, Inc.
  • Google LLC (Alphabet Inc.)
  • Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • IBM Corporation
  • Intel Corporation
  • NVIDIA Corporation
  • Qualcomm Incorporated (Qualcomm Technologies, Inc.)
  • AMBARELLA, INC.
  • Microsoft Corporation

Market Report Segmentation

By Processor

  • Central Processing Unit (CPU)
  • Graphics Processing Unit (GPU)
  • Application-Specific Integrated Circuits (ASICs)
  • Other Processor

By Device

  • Smartphones
  • IoT Devices
  • Robots
  • Cameras

By End Use

  • Automotive
  • Healthcare
  • Manufacturing
  • Security & Surveillance
  • Retail
  • Other End Use

By Country

  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Asia Pacific Edge AI Accelerator Market, by Processor
1.4.2 Asia Pacific Edge AI Accelerator Market, by Device
1.4.3 Asia Pacific Edge AI Accelerator Market, by End Use
1.4.4 Asia Pacific Edge AI Accelerator Market, by Country
1.5 Methodology for the Research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Market Challenges
Chapter 4. Competition Analysis - Global
4.1 Market Share Analysis, 2023
4.2 Porter Five Forces Analysis
Chapter 5. Asia Pacific Edge AI Accelerator Market by Processor
5.1 Asia Pacific Central Processing Unit (CPU) Market by Country
5.2 Asia Pacific Graphics Processing Unit (GPU) Market by Country
5.3 Asia Pacific Application-Specific Integrated Circuits (ASICs) Market by Country
5.4 Asia Pacific Other Processor Market by Country
Chapter 6. Asia Pacific Edge AI Accelerator Market by Device
6.1 Asia Pacific Smartphones Market by Country
6.2 Asia Pacific IoT Devices Market by Country
6.3 Asia Pacific Robots Market by Country
6.4 Asia Pacific Cameras Market by Country
Chapter 7. Asia Pacific Edge AI Accelerator Market by End Use
7.1 Asia Pacific Automotive Market by Country
7.2 Asia Pacific Healthcare Market by Country
7.3 Asia Pacific Manufacturing Market by Country
7.4 Asia Pacific Security & Surveillance Market by Country
7.5 Asia Pacific Retail Market by Country
7.6 Asia Pacific Other End Use Market by Country
Chapter 8. Asia Pacific Edge AI Accelerator Market by Country
8.1 China Edge AI Accelerator Market
8.1.1 China Edge AI Accelerator Market by Processor
8.1.2 China Edge AI Accelerator Market by Device
8.1.3 China Edge AI Accelerator Market by End Use
8.2 Japan Edge AI Accelerator Market
8.2.1 Japan Edge AI Accelerator Market by Processor
8.2.2 Japan Edge AI Accelerator Market by Device
8.2.3 Japan Edge AI Accelerator Market by End Use
8.3 India Edge AI Accelerator Market
8.3.1 India Edge AI Accelerator Market by Processor
8.3.2 India Edge AI Accelerator Market by Device
8.3.3 India Edge AI Accelerator Market by End Use
8.4 South Korea Edge AI Accelerator Market
8.4.1 South Korea Edge AI Accelerator Market by Processor
8.4.2 South Korea Edge AI Accelerator Market by Device
8.4.3 South Korea Edge AI Accelerator Market by End Use
8.5 Singapore Edge AI Accelerator Market
8.5.1 Singapore Edge AI Accelerator Market by Processor
8.5.2 Singapore Edge AI Accelerator Market by Device
8.5.3 Singapore Edge AI Accelerator Market by End Use
8.6 Malaysia Edge AI Accelerator Market
8.6.1 Malaysia Edge AI Accelerator Market by Processor
8.6.2 Malaysia Edge AI Accelerator Market by Device
8.6.3 Malaysia Edge AI Accelerator Market by End Use
8.7 Rest of Asia Pacific Edge AI Accelerator Market
8.7.1 Rest of Asia Pacific Edge AI Accelerator Market by Processor
8.7.2 Rest of Asia Pacific Edge AI Accelerator Market by Device
8.7.3 Rest of Asia Pacific Edge AI Accelerator Market by End Use
Chapter 9. Company Profiles
9.1 Apple, Inc.
9.1.1 Company Overview
9.1.2 Financial Analysis
9.1.3 Regional Analysis
9.1.4 Research & Development Expense
9.1.5 SWOT Analysis
9.2 Google LLC (Alphabet Inc.)
9.2.1 Company Overview
9.2.2 Financial Analysis
9.2.3 Segmental and Regional Analysis
9.2.4 Research & Development Expenses
9.2.5 SWOT Analysis
9.3 Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
9.3.1 Company Overview
9.3.2 Financial Analysis
9.3.3 Segmental and Regional Analysis
9.3.4 Research & Development Expenses
9.3.5 SWOT Analysis
9.4 Amazon Web Services, Inc. (Amazon.com, Inc.)
9.4.1 Company Overview
9.4.2 Financial Analysis
9.4.3 Segmental and Regional Analysis
9.4.4 SWOT Analysis
9.5 IBM Corporation
9.5.1 Company Overview
9.5.2 Financial Analysis
9.5.3 Regional & Segmental Analysis
9.5.4 Research & Development Expenses
9.5.5 SWOT Analysis
9.6 Intel Corporation
9.6.1 Company Overview
9.6.2 Financial Analysis
9.6.3 Segmental and Regional Analysis
9.6.4 Research & Development Expenses
9.6.5 SWOT Analysis
9.7 NVIDIA Corporation
9.7.1 Company Overview
9.7.2 Financial Analysis
9.7.3 Segmental and Regional Analysis
9.7.4 Research & Development Expenses
9.7.5 SWOT Analysis
9.8 Qualcomm Incorporated (Qualcomm Technologies, Inc.)
9.8.1 Company Overview
9.8.2 Financial Analysis
9.8.3 Segmental and Regional Analysis
9.8.4 Research & Development Expense
9.8.5 SWOT Analysis
9.9 AMBARELLA, INC.
9.9.1 Company Overview
9.9.2 Financial Analysis
9.9.3 Regional Analysis
9.9.4 Research & Development Expenses
9.9.5 SWOT Analysis
9.10. Microsoft Corporation
9.10.1 Company Overview
9.10.2 Financial Analysis
9.10.3 Segmental and Regional Analysis
9.10.4 Research & Development Expenses
9.10.5 SWOT Analysis

Companies Mentioned

  • Apple, Inc.
  • Google LLC (Alphabet Inc.)
  • Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • IBM Corporation
  • Intel Corporation
  • NVIDIA Corporation
  • Qualcomm Incorporated (Qualcomm Technologies, Inc.)
  • AMBARELLA, INC.
  • Microsoft Corporation

Methodology

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