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市场调查报告书
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1721411

边缘人工智慧晶片市场机会、成长动力、产业趋势分析及 2025 - 2034 年预测

Edge Artificial Intelligence Chips Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 - 2034
出版日期: | 出版商: Global Market Insights Inc. | 英文 145 Pages | 商品交期: 2-3个工作天内

价格
简介目录

2024 年全球边缘人工智慧晶片市场价值为 30 亿美元，预计到 2034 年将以 24.8% 的复合年增长率成长，达到 259 亿美元。这一显着增长反映了计算范式的动态转变，其中设备级的即时智慧正在迅速成为常态。随着企业不断实现营运数位化，对能够在本地处理资料的高效能AI晶片组的需求正在激增。这种演变在自动驾驶、智慧製造和精准医疗等领域尤其明显，这些领域必须立即做出决策，而不能依赖云端延迟。边缘 AI 晶片使智慧型装置能够在源头处理、分析和处理资料，从而提供更快的回应时间并提高资料隐私性。

边缘人工智慧晶片市场 - IMG1

随着人工智慧在消费性电子产品、工业系统和智慧基础设施领域的深入渗透，对可扩展、节能的人工智慧硬体的需求日益加剧。此外，製造技术的进步、组件的小型化以及 5G 网路的日益普及正在加速全球边缘 AI 解决方案的部署。越来越多的公司将边缘人工智慧视为释放机器人、扩增实境和智慧监控变革能力的关键。分散智慧和边缘运算的结合正在重新定义资料的使用和保护方式，为晶片製造商和系统整合商提供了巨大的机会。

市场范围
起始年份 2024
预测年份 2025-2034
起始值 30亿美元
预测值 259亿美元
复合年增长率 24.8%

市场根据部署情况细分为设备上和边缘伺服器 AI 晶片。随着各行各业越来越重视低延迟 AI 操作和本地化资料处理，边缘伺服器 AI 晶片预计到 2034 年将产生 85 亿美元的产值。智慧城市中的即时交通监控、製造业中的预测性维护以及医疗保健中的高级诊断等用例正在推动对强大边缘伺服器的需求。 5G 基础设施的推出也增强了边缘伺服器的可存取性和频宽，使其更适合在靠近最终用户的地方託管复杂的 AI 工作负载。

就晶片类型而言，专用积体电路 (ASIC) 占据主导地位，到 2024 年将占据 41.72% 的份额。这些晶片为目标 AI 应用提供了无与伦比的性能，使其成为语音识别、电脑视觉和 NLP 等功能的首选。它们的能源效率和处理速度继续吸引那些需要可扩展、经济高效的大规模部署解决方案的人工智慧硬体开发人员。

2024 年美国边缘人工智慧晶片市场价值为 46 亿美元，主要受自主系统、军用级技术和智慧製造创新的推动。领先的科技公司正在大力投资人工智慧晶片研发，以开发医疗穿戴式装置、自动化安全和工业机器人的先进功能。 《晶片法案》等政府措施透过资助半导体开发和确保关键人工智慧技术的供应链弹性，进一步促进了成长。

全球边缘人工智慧晶片市场的领先公司包括高通技术公司、NVIDIA Corporation、Arm Limited、Advanced Micro Devices, Inc.、Broadcom Inc.、Apple、STMicroelectronics、德州仪器公司、联发科技公司、莱迪思半导体公司、Mythic、Marvell、Synaptics Incorporated、BrainC, Inc.L.L.各公司积极投入研发，以降低晶片功耗并提高处理效率。许多公司正在扩大製造业务，以满足物联网、自动驾驶汽车和智慧基础设施领域日益增长的需求。

目录

第一章：方法论与范围

第二章：执行摘要

第三章：行业洞察

  • 产业生态系统分析
  • 产业衝击力
    • 成长动力
      • 半导体需求不断成长
      • 物联网应用激增
      • 对低延迟处理的需求不断增长
      • 5G网路的扩展
      • 消费性电子产品对人工智慧的需求不断增长
    • 产业陷阱与挑战
      • 高功耗和热管理
      • 复杂的硬体和软体集成
  • 成长潜力分析
  • 监管格局
  • 技术格局
  • 未来市场趋势
  • 差距分析
  • 波特的分析
  • PESTEL分析

第四章：竞争格局

  • 介绍
  • 公司市占率分析
  • 主要市场参与者的竞争分析
  • 竞争定位矩阵
  • 策略仪表板

第五章：市场估计与预测：按晶片类型，2021 - 2034

  • 主要趋势
  • ASIC（专用积体电路）AI晶片
  • GPU（图形处理单元）AI晶片
  • CPU（中央处理器）AI晶片
  • FPGA（现场可程式闸阵列）AI晶片
  • 神经形态人工智慧晶片

第六章：市场估计与预测：按部署，2021 - 2034 年

  • 主要趋势
  • 装置上的边缘 AI 晶片
  • 边缘伺服器AI晶片

第七章：市场估计与预测：按最终用途产业，2021 - 2034 年

  • 主要趋势
  • 消费性电子产品
  • 汽车与运输
  • 医疗保健和医疗器械
  • 零售与电子商务
  • 製造和工业自动化
  • 电信
  • 其他的

第八章：市场估计与预测：按地区，2021 - 2034 年

  • 主要趋势
  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 西班牙
    • 义大利
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 澳新银行
    • 韩国
  • 拉丁美洲
    • 巴西
    • 墨西哥
  • 中东和非洲
    • 沙乌地阿拉伯
    • 南非
    • 阿联酋

第九章：公司简介

  • Advanced Micro Devices, Inc.
  • Apple
  • Arm Limited
  • BrainChip, Inc.
  • Broadcom Inc.
  • HAILO TECHNOLOGIES LTD
  • Huawei Cloud Computing Technologies Co., Ltd
  • Intel Corporation
  • Lattice Semiconductor
  • Marvell
  • MediaTek Inc
  • Mythic
  • NVIDIA Corporation
  • Qualcomm Technologies
  • STMicroelectronics
  • Synaptics Incorporated
  • Texas Instruments Incorporated
简介目录
Product Code: 13394

The Global Edge Artificial Intelligence Chips Market was valued at USD 3 billion in 2024 and is estimated to grow at a CAGR of 24.8% to reach USD 25.9 billion by 2034. This significant growth reflects a dynamic shift in computing paradigms, where real-time intelligence at the device level is rapidly becoming the norm. As enterprises continue to digitize operations, the demand for high-performance AI chipsets that can process data locally is surging. This evolution is particularly pronounced in sectors such as autonomous driving, smart manufacturing, and precision healthcare, where decisions must be made instantly without reliance on cloud latency. Edge AI chips enable smart devices to process, analyze, and act on data at the source, offering faster response times and improved data privacy.

Edge Artificial Intelligence Chips Market - IMG1

With AI penetrating deeper into consumer electronics, industrial systems, and smart infrastructure, the demand for scalable, energy-efficient AI hardware is intensifying. Furthermore, advancements in fabrication technology, miniaturization of components, and growing access to 5G networks are accelerating the deployment of edge AI solutions worldwide. Companies are increasingly viewing edge AI as the key to unlocking transformative capabilities in robotics, augmented reality, and intelligent surveillance. The combination of decentralized intelligence and edge computing is redefining how data is used and secured, presenting a tremendous opportunity for chipmakers and system integrators alike.

Market Scope
Start Year2024
Forecast Year2025-2034
Start Value$3 Billion
Forecast Value$25.9 Billion
CAGR24.8%

The market is segmented by deployment into on-device and edge server AI chips. Edge server AI chips are projected to generate USD 8.5 billion by 2034 as industries increasingly prioritize low-latency AI operations and localized data processing. Use cases like real-time traffic monitoring in smart cities, predictive maintenance in manufacturing, and advanced diagnostics in healthcare are pushing demand for robust edge servers. The rollout of 5G infrastructure is also enhancing edge server accessibility and bandwidth, making them more viable for hosting complex AI workloads close to end-users.

In terms of chip type, application-specific integrated circuits (ASICs) dominate the landscape, capturing a 41.72% share in 2024. These chips offer unmatched performance for targeted AI applications, making them a top choice for functions like speech recognition, computer vision, and NLP. Their energy efficiency and processing speed continue to attract AI hardware developers who need scalable, cost-effective solutions for mass deployment.

The U.S. Edge Artificial Intelligence Chips Market was valued at USD 4.6 billion in 2024, largely driven by innovation in autonomous systems, military-grade technology, and smart manufacturing. Leading tech firms are heavily investing in AI chip R&D to develop advanced capabilities for healthcare wearables, automated security, and industrial robotics. Government initiatives such as the CHIPS Act are further amplifying growth by funding semiconductor development and ensuring supply chain resilience for critical AI technologies.

Leading companies in the Global Edge Artificial Intelligence Chips Market include Qualcomm Technologies, NVIDIA Corporation, Arm Limited, Advanced Micro Devices, Inc., Broadcom Inc., Apple, STMicroelectronics, Texas Instruments Incorporated, MediaTek Inc., Lattice Semiconductor, Mythic, Marvell, Synaptics Incorporated, BrainChip, Inc., HAILO TECHNOLOGIES LTD, Huawei Cloud Computing Technologies Co., Ltd, and Intel Corporation. Companies are actively investing in R&D to reduce chip power consumption and enhance processing efficiency. Many are expanding manufacturing operations to meet escalating demands from the IoT, autonomous vehicle, and smart infrastructure sectors.

Table of Contents

Chapter 1 Methodology and Scope

  • 1.1 Market scope and definitions
  • 1.2 Research design
    • 1.2.1 Research approach
    • 1.2.2 Data collection methods
  • 1.3 Base estimates and calculations
    • 1.3.1 Base year calculation
    • 1.3.2 Key trends for market estimation
  • 1.4 Forecast model
  • 1.5 Primary research and validation
    • 1.5.1 Primary sources
    • 1.5.2 Data mining sources

Chapter 2 Executive Summary

  • 2.1 Industry 3600 synopsis

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
  • 3.2 Industry impact forces
    • 3.2.1 Growth drivers
      • 3.2.1.1 Increasing demand for semiconductors
      • 3.2.1.2 Surge in IoT adoption
      • 3.2.1.3 Rising need for low-latency processing
      • 3.2.1.4 Expansion of 5G networks
      • 3.2.1.5 Growing demand for AI in consumer electronics
    • 3.2.2 Industry pitfalls and challenges
      • 3.2.2.1 High power consumption and thermal management
      • 3.2.2.2 Complex hardware and software integration
  • 3.3 Growth potential analysis
  • 3.4 Regulatory landscape
  • 3.5 Technology landscape
  • 3.6 Future market trends
  • 3.7 Gap analysis
  • 3.8 Porter’s analysis
  • 3.9 PESTEL analysis

Chapter 4 Competitive Landscape, 2024

  • 4.1 Introduction
  • 4.2 Company market share analysis
  • 4.3 Competitive analysis of major market players
  • 4.4 Competitive positioning matrix
  • 4.5 Strategy dashboard

Chapter 5 Market Estimates and Forecast, By Chip Type, 2021 - 2034 ($ Mn)

  • 5.1 Key trends
  • 5.2 ASIC (Application-Specific Integrated Circuit) AI Chips
  • 5.3 GPU (Graphics Processing Unit) AI Chips
  • 5.4 CPU (Central Processing Unit) AI Chips
  • 5.5 FPGA (Field-Programmable Gate Array) AI Chips
  • 5.6 Neuromorphic AI Chips

Chapter 6 Market Estimates and Forecast, By Deployment, 2021 - 2034 ($ Mn)

  • 6.1 Key trends
  • 6.2 On-Device Edge AI Chips
  • 6.3 Edge Server AI Chips

Chapter 7 Market Estimates and Forecast, By End Use Industry, 2021 - 2034 ($ Mn)

  • 7.1 Key trends
  • 7.2 Consumer electronics
  • 7.3 Automotive & transportation
  • 7.4 Healthcare & medical devices
  • 7.5 Retail & e-commerce
  • 7.6 Manufacturing & industrial automation
  • 7.7 Telecommunications
  • 7.8 Others

Chapter 8 Market Estimates and Forecast, By Region, 2021 - 2034 ($ Mn)

  • 8.1 Key trends
  • 8.2 North America
    • 8.2.1 U.S.
    • 8.2.2 Canada
  • 8.3 Europe
    • 8.3.1 Germany
    • 8.3.2 UK
    • 8.3.3 France
    • 8.3.4 Spain
    • 8.3.5 Italy
  • 8.4 Asia Pacific
    • 8.4.1 China
    • 8.4.2 India
    • 8.4.3 Japan
    • 8.4.4 ANZ
    • 8.4.5 South Korea
  • 8.5 Latin America
    • 8.5.1 Brazil
    • 8.5.2 Mexico
  • 8.6 Middle East and Africa
    • 8.6.1 Saudi Arabia
    • 8.6.2 South Africa
    • 8.6.3 UAE

Chapter 9 Company Profiles

  • 9.1 Advanced Micro Devices, Inc.
  • 9.2 Apple
  • 9.3 Arm Limited
  • 9.4 BrainChip, Inc.
  • 9.5 Broadcom Inc.
  • 9.6 HAILO TECHNOLOGIES LTD
  • 9.7 Huawei Cloud Computing Technologies Co., Ltd
  • 9.8 Intel Corporation
  • 9.9 Lattice Semiconductor
  • 9.10 Marvell
  • 9.11 MediaTek Inc
  • 9.12 Mythic
  • 9.13 NVIDIA Corporation
  • 9.14 Qualcomm Technologies
  • 9.15 STMicroelectronics
  • 9.16 Synaptics Incorporated
  • 9.17 Texas Instruments Incorporated