全球邊緣人工智慧晶片市場規模（按處理器、設備類型、功能、地區和預測）

邊緣人工智慧晶片市場規模及預測

邊緣人工智慧晶片市場規模預計在 2024 年達到 17.2 億美元，到 2032 年將達到 20.5 億美元，預測期內（2026-2032 年）的複合年成長率為 2.27%。

智慧家庭的蓬勃發展以及人工智慧在大多數應用中的快速應用等因素正在推動市場發展。此外，對高運算處理器的需求不斷成長，預計將推動全球邊緣人工智慧晶片市場的成長。全球邊緣人工智慧晶片市場報告對市場進行了全面的評估。報告全面分析了關鍵細分市場、趨勢、市場促進因素、競爭格局以及影響市場的關鍵因素。

定義邊緣人工智慧晶片市場

社群媒體和電商平台的日益普及，加上資料量的激增，使得高效能處理器的需求日益成長，以快速完成機器學習任務。人工智慧晶片正是透過機器學習滿足了快速處理的需求。基於邊緣的人工智慧實作是晶片技術的主要趨勢之一，因為在設備本身而非遠端伺服器上運行人工智慧進程，可以帶來更快的速度和更強的隱私保護。客戶對物聯網 (IoT) 裝置的偏好是科技巨頭投資開發更快處理器的主要驅動力之一。

邊緣AI晶片適合整合到智慧型手機等手持設備和機器人等非消費性設備中，且功耗更低、發熱量更小。

邊緣人工智慧晶片消除或減少了向資料中心或雲端站發送大量資料的需要。因此，這些晶片透過在本地實現處理器密集型機器學習運算，在速度、易用性、資料隱私和安全性方面提供了各種優勢。邊緣運算的人工智慧相關應用技術包括智慧機器人、自動駕駛汽車和智慧硬體。人工智慧支援的邊緣運算技術是多方面的，因為它們透過演算法機制​​、應用程式、處理器類型和運算技術來執行。在邊緣人工智慧上執行的主要應用與影像/視訊、語音/語音、自然語言處理、設備控制和大容量計算有關。邊緣人工智慧晶片支援在設備端執行這些應用程式。

邊緣人工智慧晶片市場概覽

社群媒體和電子商務平台的使用日益增多，導致資料量大幅增加，需要更有效率的處理器來執行機器學習任務。這是市場的一個關鍵驅動力。基於人工智慧的晶片由於其機器學習能力而能夠更快地處理資料。推動全球邊緣人工智慧晶片市場成長的另一個主要因素是邊緣人工智慧晶片能夠消除或最大限度地減少向資料中心或雲端站傳輸資料的需求。邊緣人工智慧晶片具有速度更快、可操作性更強以及資料隱私和安全性等優勢。其他關鍵促進因素包括智慧家庭發展的激增以及人工智慧與各種應用程式的快速整合，這些因素正在推動市場成長。

對增強資料隱私和安全日益成長的需求預計將帶來新的商機，從而推動邊緣人工智慧晶片市場的蓬勃發展。這得歸功於邊緣人工智慧晶片資料處理安全功能的提升。其他商業機會則來自5G網路等現有和新興技術的不斷發展和增強。新興國家在消費性電子和汽車產業呈現良好成長態勢，而人工智慧晶片的採用也有望在未來幾年推動市場成長。因此，該市場擁有充足的成長機會。

然而，邊緣AI晶片價格相對較高、需要頻繁升級等限制因素可能會對市場成長產生不利影響。

目錄

第1章 引言

• 市場概覽
• 研究範圍
• 先決條件

第2章執行摘要

第3章：已驗證的市場研究調查方法

• 資料探勘
• 驗證
• 第一手資料
• 資料來源列表

第4章 市場概述

• 概述
• 市場動態
  • 驅動程式
  • 限制因素
  • 機會

第5章邊緣人工智慧晶片市場（按處理器）

• 概述
• CPU
• GPU
• ASIC
• 其他

第6章邊緣人工智慧晶片市場（以設備類型）

• 概述
• 消費者
• 對於企業

第7章邊緣人工智慧晶片市場（按功能）

• 概述
• 訓練
• 推理

第8章邊緣人工智慧晶片市場（按地區）

• 概述
• 北美洲
  • 美國
  • 加拿大
  • 墨西哥
• 歐洲
  • 德國
  • 英國
  • 法國
  • 其他歐洲國家
• 亞太地區
  • 中國
  • 日本
  • 印度
  • 其他亞太地區
• 世界其他地區
  • 中東和非洲
  • 拉丁美洲

第9章 競爭態勢

• 概述
• 各公司市場排名
• 主要發展策略

第10章 公司簡介

• NVIDIA Corporation
• Advanced Micro Devices, Inc
• Alphabet Inc.
• Intel Corporation
• Apple Inc.
• Mythic Ltd.
• Arm Limited
• Samsung Electronics Co., Ltd.
• Xilinx Inc.
• HiSilicon（ShanghAI）Technologies CO.,LIMITED

第11章 附錄

• 相關調查

Edge Artificial Intelligence Chips Market Size And Forecast

Edge Artificial Intelligence Chips Market size was valued at USD 1.72 Billion in 2024 and is projected to reach USD 2.05 Billion by 2032, growing at a CAGR of 2.27% during the forecast period 2026-2032.

Factors such as an upsurge in the development of smart homes and rapid adoption of AI integration with most of the applications are driving the market. Additionally, the rising demand for high computing processors is estimated to propel the global Edge Artificial Intelligence Chips Market growth. The Global Edge Artificial Intelligence Chips Market report provides a holistic evaluation of the market. The report offers a comprehensive analysis of key segments, trends, drivers, restraints, competitive landscape, and factors that are playing a substantial role in the market.

Global Edge Artificial Intelligence Chips Market Definition

Escalating usage of social media and e-commerce platforms drives to a massive growth in data volume, which further generates the need for extra efficient processors for the quicker accomplishment of machine learning tasks. The artificial intelligence chips address the necessity for faster processing owing to enabled machine learning. Implementation of edge-based AI is one of the major trends in chip technology, as operating AI processes on a device itself instead of a remote server offers advantages of higher speed and better privacy. Customer preference towards the Internet of Things (IoT) devices is one of the major factors driving the tech giants to invest in the development of high-speed processors.

Edge-based AI chips employ lesser power and produce lesser heat along with having the adaptability to get integrated with handheld devices, such as smartphones, as well as non-consumer devices, such as robots.

Edge Artificial Intelligence Chips eliminate or diminish the need for transmitting bulk data to the data centers or cloud station. Therefore these chips offer diverse benefits concerning speed, usability, and data privacy & security by enabling processor-intensive machine learning reckonings locally. The AI-related application technologies for edge computing are intelligent robots, autonomous vehicles, and smart hardware, and many others. Artificial intelligence-supported edge computing technology is multifaceted as it runs through the algorithm mechanism, application, processor type, and computing technology. The primary utilization that runs over edge AI is related to image/video, sound and speech, natural language processing, device control, and high-volume compute. The edge AI chips support to run these applications at the device-end itself.

Global Edge Artificial Intelligence Chips Market Overview

Increasing usage of social media and e-commerce platforms has led to a massive growth in the volume of data which requires more efficient processors with the capability to perform machine learning tasks. This is an important driver for the market. AI-based chips are capable of faster processing due to enabled machine learning. Another major factor propelling the growth in the global Edge Artificial Intelligence Chips market is the ability of Edge artificial intelligence chips to eliminate or minimize the need for data transmission to the data centers or cloud station. They offer advantages like higher speed, better usability, and data privacy & security. Other important drivers are the upsurge in the development of smart homes and the rapid adoption of AI integration with various applications that are fueling market growth.

The increasing demand for enhanced data privacy and security is expected to provide new profitable opportunities leading to the rapid growth of the Edge Artificial Intelligence Chips Market. This is due to the better security capabilities of data processing on edge AI chips. Other opportunities lie in the continued development and enhancements in existing and upcoming technologies, such as 5G networks. Introducing AI chips in underdeveloped or developing countries which are witnessing good growth in the consumer electronics and automotive industry will also propel the market growth going forward. Thus, there are ample growth opportunities for the market.

However, there are some restraints like the relatively higher prices of Edge AI chips and the need for frequent upgrades. These may adversely impact the growth of the market.

Global Edge Artificial Intelligence Chips Market: Segmentation Analysis

The market is segmented on the basis of Processor, Device Type, Function And Geography.

Edge Artificial Intelligence Chips Market, By Processor

• CPU
• GPU
• ASIC
• Others

Based on Processor, the market is segmented into CPU, GPU, ASIC, and Others. The CPU segment holds the highest market share owing to the extensive adoption of CPUs in consumer devices, such as smartphones and connected wearables.

Edge Artificial Intelligence Chips Market, By Device Type

• Consumer Devices
• Enterprise Devices

Based on Device Type, the market is segmented into Consumer Devices, Enterprise Devices. The consumer devices segment accounts for the highest market share of Edge Artificial Intelligence Chips due to the growing number of AI chip deployments in smartphones and other consumer devices. Emerging technologies, such as 5G networks provide further opportunities for the growth of the segment.

Edge Artificial Intelligence Chips Market, By Function

• Training
• Inference

Based on Function, the market is segmented into Training, Inference. The inference segment accounts for the highest market share of Edge Artificial Intelligence Chips. This is since edge computing is adopted mostly for inference purposes owing to lesser data to be handled while performing inference.

Edge Artificial Intelligence Chips Market, By Geography

• North America
• Europe
• Asia Pacific
• Rest of the world
• On the basis of Geography, the market is classified into North America, Europe, Asia Pacific, and the Rest of the world. North America holds a major market share of the global Edge Artificial Intelligence Chips market. This is due to the strong presence of tech giants in the US. The region is also seeing extensive investments in artificial intelligence-related technologies. The Asia Pacific region is expected to grow at a fast pace owing to the presence of emerging economies such as China and India, which are seeing technological advancements and large-scale adoption of AI processor-enabled systems.

Key Players

The "Global Edge Artificial Intelligence Chips Market" study report will provide a valuable insight with an emphasis on the global market including some of the major players such as NVIDIA Corporation, Advanced Micro Devices, Inc, Alphabet Inc., Intel Corporation, Apple Inc., Mythic Ltd., Arm Limited, Samsung Electronics Co., Ltd., Qualcomm Technologies Inc, Xilinx Inc., HiSilicon(ShanghAI) Technologies CO. LIMITED, and Others. Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with its product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share and market ranking analysis of the above-mentioned players globally.

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL EDGE ARTIFICIAL INTELLIGENCE CHIPS MARKET

• 1.1 Overview of the Market
• 1.2 Scope of Report
• 1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

• 3.1 Data Mining
• 3.2 Validation
• 3.3 Primary Interviews
• 3.4 List of Data Sources

4 GLOBAL EDGE ARTIFICIAL INTELLIGENCE CHIPS MARKET OUTLOOK

• 4.1 Overview
• 4.2 Market Dynamics
  • 4.2.1 Drivers
  • 4.2.2 Restraints
  • 4.2.3 Opportunities

5 GLOBAL EDGE ARTIFICIAL INTELLIGENCE CHIPS MARKET, BY PROCESSOR

• 5.1 Overview
• 5.2 CPU
• 5.3 GPU
• 5.4 ASIC
• 5.5 Others

6 GLOBAL EDGE ARTIFICIAL INTELLIGENCE CHIPS MARKET, BY DEVICE TYPE

• 6.1 Overview
• 6.2 Consumer Devices
• 6.3 Enterprise Devices

7 GLOBAL EDGE ARTIFICIAL INTELLIGENCE CHIPS MARKET, BY FUNCTION

• 7.1 Overview
• 7.2 Training
• 7.3 Inference

8 GLOBAL EDGE ARTIFICIAL INTELLIGENCE CHIPS MARKET, BY GEOGRAPHY

• 8.1 Overview
• 8.2 North America
  • 8.2.1 U.S.
  • 8.2.2 Canada
  • 8.2.3 Mexico
• 8.3 Europe
  • 8.3.1 Germany
  • 8.3.2 U.K.
  • 8.3.3 France
  • 8.3.4 Rest of Europe
• 8.4 Asia Pacific
  • 8.4.1 China
  • 8.4.2 Japan
  • 8.4.3 India
  • 8.4.4 Rest of Asia Pacific
• 8.5 Rest of the World
  • 8.5.1 Middle East & Africa
  • 8.5.2 Latin America

9 GLOBAL EDGE ARTIFICIAL INTELLIGENCE CHIPS MARKET COMPETITIVE LANDSCAPE

• 9.1 Overview
• 9.2 Company Market ranking
• 9.3 Key Development Strategies

10 COMPANY PROFILES

• 10.1 NVIDIA Corporation
  • 10.1.1 Overview
  • 10.1.2 Financial Performance
  • 10.1.3 Product Outlook
  • 10.1.4 Key Developments
• 10.2 Advanced Micro Devices, Inc
  • 10.2.1 Overview
  • 10.2.2 Financial Performance
  • 10.2.3 Product Outlook
  • 10.2.4 Key Developments
• 10.3 Alphabet Inc.
  • 10.3.1 Overview
  • 10.3.2 Financial Performance
  • 10.3.3 Product Outlook
  • 10.3.4 Key Developments
• 10.4 Intel Corporation
  • 10.4.1 Overview
  • 10.4.2 Financial Performance
  • 10.4.3 Product Outlook
  • 10.4.4 Key Developments
• 10.5 Apple Inc.
  • 10.5.1 Overview
  • 10.5.2 Financial Performance
  • 10.5.3 Product Outlook
  • 10.5.4 Key Developments
• 10.6 Mythic Ltd.
  • 10.6.1 Overview
  • 10.6.2 Financial Performance
  • 10.6.3 Product Outlook
  • 10.6.4 Key Developments
• 10.7 Arm Limited
  • 10.7.1 Overview
  • 10.7.2 Financial Performance
  • 10.7.3 Product Outlook
  • 10.7.4 Key Developments
• 10.8 Samsung Electronics Co., Ltd.
  • 10.8.1 Overview
  • 10.8.2 Financial Performance
  • 10.8.3 Product Outlook
  • 10.8.4 Key Developments
• 10.9 Xilinx Inc.
  • 10.9.1 Overview
  • 10.9.2 Financial Performance
  • 10.9.3 Product Outlook
  • 10.9.4 Key Developments
• 10.10 HiSilicon(ShanghAI) Technologies CO.,LIMITED
  • 10.10.1 Overview
  • 10.10.2 Financial Performance
  • 10.10.3 Product Outlook
  • 10.10.4 Key Developments

11 APPENDIX

• 11.1 Related Research