查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1662848

2030 年邊緣人工智慧晶片市場預測：按晶片類型、設備類型、應用、最終用戶和地區進行全球分析

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個工作天內

價格

根據Stratistics MRC的數據，全球邊緣人工智慧晶片市場預計2024年將達到217億美元，到2030年將達到1,369億美元，預測期內的複合年成長率為35.9%。

被稱為邊緣人工智慧（AI）晶片的半導體裝置能夠在工業感測器、智慧型手機、物聯網設備和無人駕駛汽車等邊緣設備中實現即時資料處理。為了運行機器學習模型，這些處理器利用硬體加速器，例如張量處理單元 (TPU)、神經處理單元 (NPU) 和圖形處理單元 (GPU)。邊緣 AI 晶片可執行影像辨識、自然語言處理和預測分析等任務，同時消耗極少的電量，使其成為電池供電設備的理想選擇。邊緣 AI 晶片透過處理設備上的資料來提高隱私性，這使其成為智慧監控、醫療監控和自動駕駛等應用所必需的。

各行各業產生的資料快速成長

隨著物聯網設備、社群媒體平台和電子商務的資料量不斷增加，對邊緣高效資料處理的需求至關重要。邊緣 AI 晶片可實現即時資料處理，減少延遲並提高自動駕駛汽車、工業自動化和智慧城市等應用的性能。隨著企業努力利用資料來做出更好的決策和提高業務效率，預計這一趨勢將繼續推動對邊緣 AI 晶片的需求。

高功耗

邊緣設備通常由電池供電，因此能源效率是一個關鍵問題。 AI演算法的高運算要求導致功耗增加，這可能會限制邊緣AI解決方案在某些應用中的實用性。應對這項挑戰需要不斷改進晶片設計，以最佳化電源效率，同時又不影響性能，從而阻礙市場成長。

應用程式對即時處理和低延遲的需求不斷增加

醫療、汽車和製造等行業需要即時資料處理來支援即時診斷、自動駕駛和預測性維護等關鍵功能。邊緣 AI 晶片透過在本地處理資料來實現這些應用，從而減少了將資料傳輸到集中式伺服器所需的時間。隨著企業尋求提升其營運能力，此類機會預計將推動邊緣 AI 晶片市場的創新和成長。

設備訓練的局限性

邊緣設備通常資源受限，並且面臨訓練 AI 模型的複雜任務。這種限制可能會限制邊緣 AI 解決方案的能力和適應性，因為它們可能依賴無法即時更新的預訓練模型。解決這項威脅需要開發更有效率的學習演算法和硬體架構，以支援設備上的學習，同時最大限度地減少資源消耗。

COVID-19 的影響

新冠疫情對邊緣人工智慧晶片市場產生了多方面影響。一方面，向遠距工作的轉變和對數位基礎設施的增加依賴加速了遠端監控和遠端醫療等應用對邊緣人工智慧解決方案的採用。另一方面，疫情造成的經濟不確定性和預算限制，導致一些計劃和投資被推遲。儘管存在這些挑戰，但預計長期影響將是積極的，因為成長將繼續受到持續的數位轉型以及對彈性和高效的資料處理能力的需求的推動。

預計中央處理器 (CPU) 部分在預測期內將成為最大的部分。

預計中央處理器 (CPU) 部分將在預測期內佔據最大的市場佔有率。 CPU 是邊緣 AI 系統的重要組成部分，提供處理 AI 演算法和處理各種工作負載所需的運算能力。 CPU 的多功能性及其在各行業的廣泛應用使其成為市場上的主導地位。隨著邊緣AI應用的不斷擴展，對強大而高效的CPU的需求預計將成長，從而進一步增強我們的市場領導地位。

預計語音辨識部分在預測期內將實現最高的複合年成長率。

由於語音辨識助理、智慧揚聲器和對話式人工智慧應用程式的普及，語音辨識領域預計將在預測期內實現最高成長率，這將推動對先進語音辨識技術的需求。邊緣AI晶片在實現即時語音處理、增強用戶體驗和支援免持操作方面發揮關鍵作用。預計這一趨勢將推動語音辨識領域的成長，使其成為邊緣 AI 晶片市場中成長最快的領域之一。

比最大的地區

由於北美擁有先進的技術基礎設施、主要人工智慧公司的存在以及該國邊緣運算解決方案的高度採用，預計在預測期內北美將佔據最大的市場佔有率，這推動了對邊緣人工智慧晶片的需求。該地區對技術創新的關注和對研發的持續投資進一步推動了市場成長。在整個預測期內，北美將保持其在邊緣 AI 晶片市場的主導地位。

複合年成長率最高的地區

預計亞太地區將在預測期內呈現最高的複合年成長率，因為中國和印度等國家快速的都市化、數位化的提高以及 IT 和通訊行業的擴張正在推動對邊緣 AI 解決方案的需求。該地區連網設備數量的不斷增加以及對資料安全和隱私意識的不斷增強促進了市場強勁成長。在技​​術進步和商業實踐不斷發展的推動下，亞太市場有望大幅擴張。

免費客製化服務

訂閱此報告的客戶可享有以下免費自訂選項之一：

  • 公司簡介
    • 對其他市場參與企業（最多 3 家公司）進行全面分析
    • 主要企業的 SWOT 分析（最多 3 家公司）
  • 地理細分
    • 根據客戶興趣對主要國家進行市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭性基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第 2 章 前言

  • 概述
  • 相關利益者
  • 研究範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二手研究資料資訊來源
    • 先決條件

第3章 市場走勢分析

  • 介紹
  • 驅動程式
  • 限制因素
  • 機會
  • 威脅
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19 的影響

第 4 章 波特五力分析

  • 供應商的議價能力
  • 買家的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

第5章 全球邊緣人工智慧晶片市場按晶片類型

  • 介紹
  • 中央處理器 (CPU)
  • 圖形處理單元 (GPU)
  • 專用積體電路
  • 現場可程式閘陣列
  • 神經處理單元
  • 其他

第6章全球邊緣人工智慧晶片市場按設備類型

  • 介紹
  • 消費性電子
  • 企業設備

第7章 全球邊緣人工智慧晶片市場（按應用）

  • 介紹
  • 影像識別
  • 語音辨識
  • 自然語言處理
  • 自動駕駛汽車
  • 預測性維護
  • 智慧城市和物聯網設備
  • 其他

第 8 章 全球邊緣人工智慧晶片市場（按最終用戶）

  • 介紹
  • 家用電子電器
  • 車
  • 醫療
  • 產業
  • 零售與電子商務
  • 通訊
  • 其他

第9章 全球邊緣人工智慧晶片市場（按區域）

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 歐洲其他地區
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第10章 主要進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第11章 公司概況

  • 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.