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封面
市场调查报告书
商品编码
1736871

全球边缘人工智慧晶片市场规模（按处理器、设备类型、功能、地区和预测）

Global Edge Artificial Intelligence Chips Market Size By Processor, By Device Type, By Function, By Geographic Scope And Forecast
出版日期: | 出版商: Verified Market Research | 英文 202 Pages | 商品交期: 2-3个工作天内

价格
简介目录

边缘人工智慧晶片市场规模及预测

边缘人工智慧晶片市场规模预计在 2024 年达到 17.2 亿美元，到 2032 年将达到 20.5 亿美元，预测期内（2026-2032 年）的复合年增长率为 2.27%。

智慧家庭的蓬勃发展以及人工智慧在大多数应用中的快速应用等因素正在推动市场发展。此外，对高运算处理器的需求不断增长，预计将推动全球边缘人工智慧晶片市场的成长。全球边缘人工智慧晶片市场报告对市场进行了全面的评估。报告全面分析了关键细分市场、趋势、市场驱动因素、竞争格局以及影响市场的关键因素。

定义边缘人工智慧晶片市场

社群媒体和电商平台的日益普及，加上资料量的激增，使得高效能处理器的需求日益增长，以快速完成机器学习任务。人工智慧晶片正是透过机器学习满足了快速处理的需求。基于边缘的人工智慧实作是晶片技术的主要趋势之一，因为在设备本身而非远端伺服器上运行人工智慧进程，可以带来更快的速度和更强的隐私保护。客户对物联网 (IoT) 装置的偏好是科技巨头投资开发更快处理器的主要驱动力之一。

边缘AI晶片适合整合到智慧型手机等手持设备和机器人等非消费性设备中，且功耗更低、发热量更小。

边缘人工智慧晶片消除或减少了向资料中心或云端站发送大量资料的需要。因此，这些晶片透过在本地实现处理器密集型机器学习运算，在速度、易用性、资料隐私和安全性方面提供了各种优势。边缘运算的人工智慧相关应用技术包括智慧机器人、自动驾驶汽车和智慧硬体。人工智慧支援的边缘运算技术是多方面的，因为它们透过演算法机制​​、应用程式、处理器类型和运算技术来执行。在边缘人工智慧上执行的主要应用与影像/视讯、语音/语音、自然语言处理、设备控制和大容量计算有关。边缘人工智慧晶片支援在设备端执行这些应用程式。

边缘人工智慧晶片市场概览

社群媒体和电子商务平台的使用日益增多，导致资料量大幅增加，需要更有效率的处理器来执行机器学习任务。这是市场的一个关键驱动力。基于人工智慧的晶片由于其机器学习能力而能够更快地处理资料。推动全球边缘人工智慧晶片市场成长的另一个主要因素是边缘人工智慧晶片能够消除或最大限度地减少向资料中心或云端站传输资料的需求。边缘人工智慧晶片具有速度更快、可操作性更强以及资料隐私和安全性等优势。其他关键驱动因素包括智慧家庭发展的激增以及人工智慧与各种应用程式的快速集成，这些因素正在推动市场成长。

对增强资料隐私和安全日益增长的需求预计将带来新的商机，从而推动边缘人工智慧晶片市场的蓬勃发展。这得归功于边缘人工智慧晶片资料处理安全功能的提升。其他商业机会则来自5G网路等现有和新兴技术的不断发展和增强。新兴国家在消费性电子和汽车产业呈现良好成长态势，而人工智慧晶片的采用也有望在未来几年推动市场成长。因此，该市场拥有充足的成长机会。

然而，边缘AI晶片价格相对较高、需要频繁升级等限制因素可能会对市场成长产生不利影响。

目录

第一章 引言

  • 市场概览
  • 研究范围
  • 先决条件

第二章执行摘要

第三章：已验证的市场研究调查方法

  • 资料探勘
  • 验证
  • 第一手资料
  • 资料来源列表

第四章 市场概述

  • 概述
  • 市场动态
    • 驱动程式
    • 限制因素
    • 机会

第五章边缘人工智慧晶片市场（按处理器）

  • 概述
  • CPU
  • GPU
  • ASIC
  • 其他的

第六章边缘人工智慧晶片市场（以设备类型）

  • 概述
  • 消费者
  • 对于企业

第七章边缘人工智慧晶片市场（按功能）

  • 概述
  • 训练
  • 推理

第八章边缘人工智慧晶片市场（按地区）

  • 概述
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 其他亚太地区
  • 世界其他地区
    • 中东和非洲
    • 拉丁美洲

第九章 竞争态势

  • 概述
  • 各公司市场排名
  • 主要发展策略

第十章 公司简介

  • 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

第十一章 附录

  • 相关调查
简介目录
Product Code: 41901

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