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市场调查报告书
商品编码
1662848

2030 年边缘人工智慧晶片市场预测：按晶片类型、设备类型、应用、最终用户和地区进行全球分析

Edge Artificial Intelligence Chips Market Forecasts to 2030 - Global Analysis By Chip Type, Device Type, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据Stratistics MRC的数据，全球边缘人工智慧晶片市场预计2024年将达到217亿美元，到2030年将达到1,369亿美元，预测期内的复合年增长率为35.9%。

被称为边缘人工智慧（AI）晶片的半导体装置能够在工业感测器、智慧型手机、物联网设备和无人驾驶汽车等边缘设备中实现即时资料处理。为了运行机器学习模型，这些处理器利用硬体加速器，例如张量处理单元 (TPU)、神经处理单元 (NPU) 和图形处理单元 (GPU)。边缘 AI 晶片可执行影像辨识、自然语言处理和预测分析等任务，同时消耗极少的电量，使其成为电池供电设备的理想选择。边缘 AI 晶片透过处理设备上的资料来提高隐私性，这使其成为智慧监控、医疗监控和自动驾驶等应用所必需的。

各行各业产生的资料快速成长

随着物联网设备、社群媒体平台和电子商务的资料量不断增加，对边缘高效资料处理的需求至关重要。边缘 AI 晶片可实现即时资料处理，减少延迟并提高自动驾驶汽车、工业自动化和智慧城市等应用的性能。随着企业努力利用资料来做出更好的决策和提高业务效率，预计这一趋势将继续推动对边缘 AI 晶片的需求。

高功耗

边缘设备通常由电池供电，因此能源效率是一个关键问题。 AI演算法的高运算要求导致功耗增加，这可能会限制边缘AI解决方案在某些应用中的实用性。应对这项挑战需要不断改进晶片设计，以优化电源效率，同时又不影响性能，从而阻碍市场成长。

应用程式对即时处理和低延迟的需求不断增加

医疗、汽车和製造等行业需要即时资料处理来支援即时诊断、自动驾驶和预测性维护等关键功能。边缘 AI 晶片透过在本地处理资料来实现这些应用，从而减少了将资料传输到集中式伺服器所需的时间。随着企业寻求提升其营运能力，此类机会预计将推动边缘 AI 晶片市场的创新和成长。

设备训练的局限性

边缘设备通常资源受限，并且面临训练 AI 模型的复杂任务。这种限制可能会限制边缘 AI 解决方案的能力和适应性，因为它们可能依赖无法即时更新的预训练模型。解决这项威胁需要开发更有效率的学习演算法和硬体架构，以支援设备上的学习，同时最大限度地减少资源消耗。

COVID-19 的影响

新冠疫情对边缘人工智慧晶片市场产生了多方面影响。一方面，向远距工作的转变和对数位基础设施的增加依赖加速了远端监控和远端医疗等应用对边缘人工智慧解决方案的采用。另一方面，疫情造成的经济不确定性和预算限制，导致一些计划和投资被推迟。儘管存在这些挑战，但预计长期影响将是积极的，因为成长将继续受到持续的数位转型以及对弹性和高效的资料处理能力的需求的推动。

预计中央处理器 (CPU) 部分在预测期内将成为最大的部分。

预计中央处理器 (CPU) 部分将在预测期内占据最大的市场占有率。 CPU 是边缘 AI 系统的重要组成部分，提供处理 AI 演算法和处理各种工作负载所需的运算能力。 CPU 的多功能性及其在各行业的广泛应用使其成为市场上的主导地位。随着边缘AI应用的不断扩展，对强大而高效的CPU的需求预计将成长，从而进一步增强我们的市场领导地位。

预计语音辨识部分在预测期内将实现最高的复合年增长率。

由于语音辨识助理、智慧扬声器和对话式人工智慧应用程式的普及，语音辨识领域预计将在预测期内实现最高成长率，这将推动对先进语音辨识技术的需求。边缘AI晶片在实现即时语音处理、增强用户体验和支援免持操作方面发挥关键作用。预计这一趋势将推动语音辨识领域的成长，使其成为边缘 AI 晶片市场中成长最快的领域之一。

比最大的地区

由于北美拥有先进的技术基础设施、主要人工智慧公司的存在以及该国边缘运算解决方案的高度采用，预计在预测期内北美将占据最大的市场占有率，这推动了对边缘人工智慧晶片的需求。该地区对技术创新的关注和对研发的持续投资进一步推动了市场成长。在整个预测期内，北美将保持其在边缘 AI 晶片市场的主导地位。

复合年增长率最高的地区

预计亚太地区将在预测期内呈现最高的复合年增长率，因为中国和印度等国家快速的都市化、数位化的提高以及 IT 和通讯行业的扩张正在推动对边缘 AI 解决方案的需求。该地区连网设备数量的不断增加以及对资料安全和隐私意识的不断增强促进了市场强劲成长。在技​​术进步和商业实践不断发展的推动下，亚太市场有望大幅扩张。

免费客製化服务

订阅此报告的客户可享有以下免费自订选项之一：

  • 公司简介
    • 对其他市场参与企业（最多 3 家公司）进行全面分析
    • 主要企业的 SWOT 分析（最多 3 家公司）
  • 地理细分
    • 根据客户兴趣对主要国家进行市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争性基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第 2 章 前言

  • 概述
  • 相关利益者
  • 研究范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二手研究资料资讯来源
    • 先决条件

第三章 市场走势分析

  • 介绍
  • 驱动程式
  • 限制因素
  • 机会
  • 威胁
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第 4 章 波特五力分析

  • 供应商的议价能力
  • 买家的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

第五章 全球边缘人工智慧晶片市场按晶片类型

  • 介绍
  • 中央处理器 (CPU)
  • 图形处理单元 (GPU)
  • 专用积体电路
  • 现场可程式闸阵列
  • 神经处理单元
  • 其他的

第六章全球边缘人工智慧晶片市场按设备类型

  • 介绍
  • 消费性电子
  • 企业设备

第七章 全球边缘人工智慧晶片市场（按应用）

  • 介绍
  • 影像识别
  • 语音辨识
  • 自然语言处理
  • 自动驾驶汽车
  • 预测性维护
  • 智慧城市和物联网设备
  • 其他的

第 8 章 全球边缘人工智慧晶片市场（按最终用户）

  • 介绍
  • 家用电子电器
  • 车
  • 医疗
  • 产业
  • 零售与电子商务
  • 通讯
  • 其他的

第九章 全球边缘人工智慧晶片市场（按区域）

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 欧洲其他地区
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十章 主要进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十一章 公司概况

  • ADLINK Technology Inc.
  • Advanced Micro Devices, Inc.
  • Alphabet Inc.
  • Amazon.com, Inc.
  • Apple Inc.
  • Arm Limited
  • Edge Impulse
  • HiSilicon（Shanghai）Technologies Co Limited
  • Huawei Technologies Co., Ltd.
  • Intel Corporation
  • Microsoft Corporation
  • Mythic
  • NVIDIA Corporation
  • Qualcomm Technologies, Inc.
  • Samsung
  • Synaptics Incorporated
Product Code: SMRC28709

According to Stratistics MRC, the Global Edge Artificial Intelligence Chips Market is accounted for $21.7 billion in 2024 and is expected to reach $136.9 billion by 2030 growing at a CAGR of 35.9% during the forecast period. Semiconductor devices known as edge artificial intelligence (AI) chips allow real-time data processing on edge devices such as industrial sensors, smartphones, Internet of Things devices, and driverless cars. To carry out machine learning models, these processors make use of hardware accelerators such as Tensor Processing Units (TPUs), Neural Processing Units (NPUs), or Graphics Processing Units (GPUs). They are perfect for battery-operated devices because they handle activities like image identification, natural language processing, and predictive analytics while using very little power. Because edge AI chips improve privacy by processing data on-device, they are essential for applications like smart surveillance, healthcare monitoring, and autonomous driving.

Market Dynamics:

Driver:

Surge in data generated in various industries

As the volume of data from IoT devices, social media platforms, and e-commerce continues to escalate, the need for efficient data processing at the edge becomes paramount. Edge AI chips enable real-time data processing, reducing latency and enhancing performance for applications such as autonomous vehicles, industrial automation, and smart cities. This trend is expected to continue driving the demand for Edge AI chips, as businesses strive to leverage data for improved decision-making and operational efficiency.

Restraint:

High power consumption

Edge devices often operate on battery power, making energy efficiency a key concern. The high computational requirements of AI algorithms can lead to increased power consumption, limiting the practicality of edge AI solutions in certain applications. Addressing this challenge requires continuous advancements in chip design to optimize power efficiency without compromising performance hampering the growth of the market.

Opportunity:

Growing demand for real-time processing and low latency in applications

Industries such as healthcare, automotive, and manufacturing require immediate data processing to support critical functions, such as real-time diagnostics, autonomous driving, and predictive maintenance. Edge AI chips enable these applications by processing data locally, reducing the time required for data transmission to centralized servers. This opportunity is expected to drive innovation and growth in the edge AI chip market, as organizations seek to enhance their operational capabilities.

Threat:

Limited on-device training

Edge devices often have constrained resources, making it challenging to perform complex training tasks for AI models. This limitation can restrict the functionality and adaptability of edge AI solutions, as they may rely on pre-trained models that cannot be updated in real-time. Addressing this threat requires the development of more efficient training algorithms and hardware architectures that can support on-device learning while minimizing resource consumption.

Covid-19 Impact

The Covid-19 pandemic had a mixed impact on the Edge Artificial Intelligence Chips market. On one hand, the shift to remote work and the increased reliance on digital infrastructure accelerated the adoption of edge AI solutions for applications such as remote monitoring and telemedicine. On the other hand, economic uncertainties and budget constraints caused by the pandemic led to delays in some projects and investments. Despite these challenges, the long-term impact is expected to be positive, with continued growth driven by the ongoing digital transformation and the need for resilient and efficient data processing capabilities.

The central processing unit (CPU) segment is expected to be the largest during the forecast period

The central processing unit (CPU) segment is expected to account for the largest market share during the forecast period. CPUs are integral components of edge AI systems, providing the necessary computational power to process AI algorithms and handle diverse workloads. The versatility and widespread adoption of CPUs across various industries contribute to their dominant position in the market. As edge AI applications continue to expand, the demand for powerful and efficient CPUs is expected to grow, further solidifying their market leadership.

The speech recognition segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the speech recognition segment is predicted to witness the highest growth rate owing to the increasing adoption of voice-activated assistants, smart speakers, and conversational AI applications drives the demand for advanced speech recognition technologies. Edge AI chips play a crucial role in enabling real-time speech processing, enhancing user experiences, and supporting hands-free operations. This trend is expected to propel the growth of the speech recognition segment, making it one of the fastest-growing areas in the edge AI chip market.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share due to North America's advanced technological infrastructure, strong presence of leading AI companies, and high adoption rate of edge computing solutions drive the demand for edge AI chips. The region's focus on innovation and continuous investment in research and development further support the market's growth. North America is poised to maintain its leadership position in the edge AI chip market throughout the forecast period.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR owing to rapid urbanization, increasing digitalization, and the expansion of the IT and telecom sectors in countries like China and India drive the demand for edge AI solutions. The region's growing number of connected devices and rising awareness of data security and privacy contribute to the market's robust growth. The Asia Pacific market is set to experience significant expansion, driven by technological advancements and evolving business practices.

Key players in the market

Some of the key players in Edge Artificial Intelligence Chips market include ADLINK Technology Inc., Advanced Micro Devices, Inc., Alphabet Inc., Amazon.com, Inc., Apple Inc., Arm Limited, Edge Impulse, HiSilicon(Shanghai) Technologies Co Limited, Huawei Technologies Co., Ltd., Intel Corporation, Microsoft Corporation, Mythic, NVIDIA Corporation, Qualcomm Technologies, Inc. Samsung and Synaptics Incorporated.

Key Developments:

In January 2025, ADLINK Technology Inc., unveiled its new "DLAP Supreme Series", an edge generative AI platform. By integrating Phison's innovative aiDAPTIV+ AI solution, this series overcomes memory limitations in edge generative AI applications, significantly enhancing AI computing capabilities on edge devices.

In January 2025, Amazon launched the all-new Echo Spot in India, making it the latest addition to its line-up of Alexa-enabled Echo devices. Echo Spot is a sleek new smart alarm clock, featuring a variety of custom-designed clock faces, colourful display options, and four newly-added alarm sounds.

Chip Types Covered:

  • Central Processing Unit (CPU)
  • Graphics Processing Unit (GPU)
  • Application-Specific Integrated Circuit
  • Field Programmable Gate Arrays
  • Neural Processing Units
  • Other Chip Types

Device Types Covered:

  • Consumer Devices
  • Enterprise Devices

Applications Covered:

  • Image Recognition
  • Speech Recognition
  • Natural Language Processing
  • Autonomous Vehicles
  • Predictive Maintenance
  • Smart Cities & IoT Devices
  • Other Applications

End Users Covered:

  • Consumer Electronics
  • Automotive
  • Healthcare
  • Industrial
  • Retail & E-commerce
  • Telecommunications
  • Other End Users

Regions Covered:

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

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Edge Artificial Intelligence Chips Market, By Chip Type

  • 5.1 Introduction
  • 5.2 Central Processing Unit (CPU)
  • 5.3 Graphics Processing Unit (GPU)
  • 5.4 Application-Specific Integrated Circuit
  • 5.5 Field Programmable Gate Arrays
  • 5.6 Neural Processing Units
  • 5.7 Other Chip Types

6 Global Edge Artificial Intelligence Chips Market, By Device Type

  • 6.1 Introduction
  • 6.2 Consumer Devices
  • 6.3 Enterprise Devices

7 Global Edge Artificial Intelligence Chips Market, By Application

  • 7.1 Introduction
  • 7.2 Image Recognition
  • 7.3 Speech Recognition
  • 7.4 Natural Language Processing
  • 7.5 Autonomous Vehicles
  • 7.6 Predictive Maintenance
  • 7.7 Smart Cities & IoT Devices
  • 7.8 Other Applications

8 Global Edge Artificial Intelligence Chips Market, By End User

  • 8.1 Introduction
  • 8.2 Consumer Electronics
  • 8.3 Automotive
  • 8.4 Healthcare
  • 8.5 Industrial
  • 8.6 Retail & E-commerce
  • 8.7 Telecommunications
  • 8.8 Other End Users

9 Global Edge Artificial Intelligence Chips Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 ADLINK Technology Inc.
  • 11.2 Advanced Micro Devices, Inc.
  • 11.3 Alphabet Inc.
  • 11.4 Amazon.com, Inc.
  • 11.5 Apple Inc.
  • 11.6 Arm Limited
  • 11.7 Edge Impulse
  • 11.8 HiSilicon(Shanghai) Technologies Co Limited
  • 11.9 Huawei Technologies Co., Ltd.
  • 11.10 Intel Corporation
  • 11.11 Microsoft Corporation
  • 11.12 Mythic
  • 11.13 NVIDIA Corporation
  • 11.14 Qualcomm Technologies, Inc.
  • 11.15 Samsung
  • 11.16 Synaptics Incorporated

List of Tables

  • Table 1 Global Edge Artificial Intelligence Chips Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Edge Artificial Intelligence Chips Market Outlook, By Chip Type (2022-2030) ($MN)
  • Table 3 Global Edge Artificial Intelligence Chips Market Outlook, By Central Processing Unit (CPU) (2022-2030) ($MN)
  • Table 4 Global Edge Artificial Intelligence Chips Market Outlook, By Graphics Processing Unit (GPU) (2022-2030) ($MN)
  • Table 5 Global Edge Artificial Intelligence Chips Market Outlook, By Application-Specific Integrated Circuit (2022-2030) ($MN)
  • Table 6 Global Edge Artificial Intelligence Chips Market Outlook, By Field Programmable Gate Arrays (2022-2030) ($MN)
  • Table 7 Global Edge Artificial Intelligence Chips Market Outlook, By Neural Processing Units (2022-2030) ($MN)
  • Table 8 Global Edge Artificial Intelligence Chips Market Outlook, By Other Chip Types (2022-2030) ($MN)
  • Table 9 Global Edge Artificial Intelligence Chips Market Outlook, By Device Type (2022-2030) ($MN)
  • Table 10 Global Edge Artificial Intelligence Chips Market Outlook, By Consumer Devices (2022-2030) ($MN)
  • Table 11 Global Edge Artificial Intelligence Chips Market Outlook, By Enterprise Devices (2022-2030) ($MN)
  • Table 12 Global Edge Artificial Intelligence Chips Market Outlook, By Application (2022-2030) ($MN)
  • Table 13 Global Edge Artificial Intelligence Chips Market Outlook, By Image Recognition (2022-2030) ($MN)
  • Table 14 Global Edge Artificial Intelligence Chips Market Outlook, By Speech Recognition (2022-2030) ($MN)
  • Table 15 Global Edge Artificial Intelligence Chips Market Outlook, By Natural Language Processing (2022-2030) ($MN)
  • Table 16 Global Edge Artificial Intelligence Chips Market Outlook, By Autonomous Vehicles (2022-2030) ($MN)
  • Table 17 Global Edge Artificial Intelligence Chips Market Outlook, By Predictive Maintenance (2022-2030) ($MN)
  • Table 18 Global Edge Artificial Intelligence Chips Market Outlook, By Smart Cities & IoT Devices (2022-2030) ($MN)
  • Table 19 Global Edge Artificial Intelligence Chips Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 20 Global Edge Artificial Intelligence Chips Market Outlook, By End User (2022-2030) ($MN)
  • Table 21 Global Edge Artificial Intelligence Chips Market Outlook, By Consumer Electronics (2022-2030) ($MN)
  • Table 22 Global Edge Artificial Intelligence Chips Market Outlook, By Automotive (2022-2030) ($MN)
  • Table 23 Global Edge Artificial Intelligence Chips Market Outlook, By Healthcare (2022-2030) ($MN)
  • Table 24 Global Edge Artificial Intelligence Chips Market Outlook, By Industrial (2022-2030) ($MN)
  • Table 25 Global Edge Artificial Intelligence Chips Market Outlook, By Retail & E-commerce (2022-2030) ($MN)
  • Table 26 Global Edge Artificial Intelligence Chips Market Outlook, By Telecommunications (2022-2030) ($MN)
  • Table 27 Global Edge Artificial Intelligence Chips Market Outlook, By Other End Users (2022-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.