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市場調查報告書
商品編碼
1683332

全球邊緣運算人工智慧市場 - 2025 年至 2032 年

Global AI in Edge Computing Market - 2025-2032
出版日期: | 出版商: DataM Intelligence | 英文 180 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

2024 年全球邊緣運算人工智慧市場規模達到 165.4 億美元，預計到 2032 年將達到 838.6 億美元，2025-2032 年預測期內的複合年成長率為 22.50%。

受即時資料處理需求的不斷成長和物聯網 (IoT) 設備的普及推動，全球邊緣運算人工智慧 (AI) 市場正在快速成長。人工智慧功能與邊緣設備的整合正在透過在資料生成源頭實現即時分析和決策來改變產業。例如，麥當勞實施了人工智慧驅動的免下車系統和網路連接廚房設備，以增強客戶服務和營運效率。

動力學

促進因素－物聯網設備的激增

物聯網設備的迅猛成長是邊緣運算人工智慧的重要驅動力。隨著越來越多的設備互聯，產生的資料量大幅增加，需要高效率的資料處理方法。邊緣運算透過使資料分析更接近源頭、減少延遲和頻寬要求來滿足這一需求。

人工智慧的整合進一步增強了即時獲取可操作見解的能力，使其成為自動駕駛汽車、智慧城市和工業自動化等應用所必需的。

限制－前期投資高，基礎建設挑戰大

在邊緣運算中實施人工智慧需要在硬體、軟體和網路基礎設施上進行大量的前期投資。組織在升級現有系統以支援邊緣運算功能時可能會面臨挑戰，而且部署和維護這些系統相關的成本可能過高。

此外，確保資料安全和遵守監管標準增加了實施過程的複雜性，可能會阻礙人工智慧在邊緣運算解決方案中的廣泛應用。

目錄

第 1 章：方法與範圍

第 2 章：定義與概述

第 3 章：執行摘要

第 4 章：動態

  • 影響因素
    • 驅動程式
      • 物聯網設備的激增
    • 限制
      • 前期投資高，基礎建設挑戰大
    • 機會
    • 影響分析

第5章：產業分析

  • 波特五力分析
  • 供應鏈分析
  • 價值鏈分析
  • 定價分析
  • 監理與合規性分析
  • 人工智慧與自動化影響分析
  • 研發與創新分析
  • 永續性與綠色技術分析
  • 網路安全分析
  • 下一代技術分析
  • 技術路線圖
  • DMI 意見

第 6 章：按組件

  • 硬體
  • 解決方案
  • 服務

第 7 章：按部署類型

  • 本地
  • 基於雲端

第 8 章：按組織規模

  • 大型企業
  • 中小企業

第 9 章：按技術

  • 機器學習
  • 自然語言處理 (NLP)
  • 情境感知計算
  • 其他

第 10 章：按應用

  • 工業物聯網
  • 遠端監控
  • 內容交付
  • 影片分析
  • 擴增實境與虛擬實境
  • 其他

第 11 章：依最終用途產業

  • 銀行、金融服務和保險
  • 零售
  • 政府與國防
  • 製造業
  • 企業
  • 衛生保健
  • 汽車與運輸
  • 其他

第 12 章：按地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙
    • 歐洲其他地區
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地區
  • 亞太
    • 中國
    • 印度
    • 日本
    • 澳洲
    • 亞太其他地區
  • 中東和非洲

第 13 章：競爭格局

  • 競爭格局
  • 市場定位/佔有率分析
  • 併購分析

第 14 章：公司簡介

  • NVIDIA
    • 公司概況
    • 產品組合和描述
    • 財務概覽
    • 主要進展
  • Amazon Web Services, Inc.
  • Arctic Wolf Networks Inc.
  • Tata Consultancy Services
  • Microsoft Corporation
  • Infosys
  • IBM Corporation
  • Intel Corporation
  • Cisco Systems, Inc.
  • Nokia

第 15 章：附錄

簡介目錄
Product Code: ICT9300

Global AI in Edge Computing Market reached US$ 16.54 billion in 2024 and is expected to reach US$ 83.86 billion by 2032, growing with a CAGR of 22.50% during the forecast period 2025-2032.

The global Artificial Intelligence (AI) in Edge Computing market is experiencing rapid growth, driven by the increasing demand for real-time data processing and the proliferation of Internet of Things (IoT) devices. The integration of AI capabilities into edge devices is transforming industries by enabling real-time analytics and decision-making at the source of data generation. For instance, McDonald's has implemented AI-powered drive-through systems and internet-connected kitchen equipment to enhance customer service and operational efficiency.

Dynamics

Driver - Proliferation of IoT Devices

The exponential growth of IoT devices is a significant driver for AI in edge computing. As more devices become interconnected, the volume of data generated increases substantially, necessitating efficient data processing methods. Edge computing addresses this need by enabling data analysis closer to the source, reducing latency and bandwidth requirements.

The integration of AI further enhances the ability to derive actionable insights in real-time, making it essential for applications like autonomous vehicles, smart cities, and industrial automation.

Restraint - High Initial Investment and Infrastructure Challenges

Implementing AI in edge computing requires substantial initial investments in hardware, software, and network infrastructure. Organizations may face challenges in upgrading existing systems to support edge computing capabilities, and the costs associated with deploying and maintaining these systems can be prohibitive.

Additionally, ensuring data security and compliance with regulatory standards adds complexity to the implementation process, potentially hindering the widespread adoption of AI in edge computing solutions.

Segment Analysis

The global AI in Edge Computing market is segmented based on component, deployment type, organization size, technology, application, end-use industry, and region.

Industrial Internet of Things (IIoT) represent the largest application segment in the global market.

The Industrial Internet of Things (IIoT) represents the largest segment within the AI in edge computing market, as industries increasingly adopt connected devices to enhance operational efficiency, safety, and productivity. In the energy sector, edge computing facilitates efficient management of distributed energy resources. General Electric employs edge computing techniques to estimate the lifespan of components in heat recovery steam generators, which are subject to extreme conditions, thereby optimizing maintenance schedules and improving reliability. Furthermore, the transportation industry benefits from edge computing through enhanced vehicle-to-infrastructure communication. In Ulm, Germany, a project involving Bosch and the University of Ulm integrates sensors into traffic infrastructure to assist autonomous vehicles in navigating complex urban environments.

Geographical Penetration

North America leads the AI in edge computing market, attributed to its advanced technological infrastructure, significant investments in AI research and development, and a robust ecosystem of tech companies.

The region's emphasis on maintaining leadership in AI has led to substantial investments in infrastructure. For instance, Microsoft and BlackRock announced a $30 billion fund to invest in AI infrastructure include data centers and energy project, focusing on enhancing AI capabilities in the United States. The U.S. government has also prioritized self-sufficiency in semiconductor production, as highlighted by the 2022 CHIPS Act, to reduce reliance on foreign manufacturing and bolster domestic AI capabilities.

Moreover, North American companies are at the forefront of integrating AI into edge computing. Qualcomm, for example, is expanding beyond mobile handsets into automotive and IoT sectors, leveraging its Snapdragon platform to deliver AI capabilities at the edge. The company projects its automotive revenue to reach $4 billion by fiscal 2026 and $8 billion by 2029, with IoT revenue expected to grow to $14 billion, reflecting the region's dynamic market landscape.

Technology Roadmap

The global AI in Edge Computing market is expected to evolve significantly over the coming years, driven by advancements in network infrastructure, the expansion of IoT, and the increasing adoption of artificial intelligence (AI) at the edge. Government initiatives, regulatory frameworks, and private sector investments are set to accelerate AI adoption in cybersecurity across multiple industries.

Competitive Landscape

The major Global players in the market include NVIDIA, Amazon Web Services, Inc., Arctic Wolf Networks Inc., Tata Consultancy Services, Microsoft Corporation, Infosys, IBM Corporation, Intel Corporation, Cisco Systems, Inc., and Nokia.

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Target Audience 2024

  • Manufacturers/ Buyers
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Component
  • 3.2. Snippet by Deployment Type
  • 3.3. Snippet by Organization Size
  • 3.4. Snippet by Technology
  • 3.5. Snippet by Application
  • 3.6. Snippet by End-Use Industry
  • 3.7. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Proliferation of IoT Devices
    • 4.1.2. Restraints
      • 4.1.2.1. High Initial Investment and Infrastructure Challenges
    • 4.1.3. Opportunity
    • 4.1.4. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's Five Force Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Value Chain Analysis
  • 5.4. Pricing Analysis
  • 5.5. Regulatory and Compliance Analysis
  • 5.6. AI & Automation Impact Analysis
  • 5.7. R&D and Innovation Analysis
  • 5.8. Sustainability & Green Technology Analysis
  • 5.9. Cybersecurity Analysis
  • 5.10. Next Generation Technology Analysis
  • 5.11. Technology Roadmap
  • 5.12. DMI Opinion

6. By Component

  • 6.1. Introduction
    • 6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 6.1.2. Market Attractiveness Index, By Component
  • 6.2. Hardware*
    • 6.2.1. Introduction
    • 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 6.3. Solutions
  • 6.4. Services

7. By Deployment Type

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
    • 7.1.2. Market Attractiveness Index, By Deployment Type
  • 7.2. On-premises*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Cloud-based

8. By Organization Size

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 8.1.2. Market Attractiveness Index, By Organization Size
  • 8.2. Large enterprises*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. Small & Medium Sized Enterprises

9. By Technology

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 9.1.2. Market Attractiveness Index, By Technology
  • 9.2. Machine Learning*
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Natural Language Processing (NLP)
  • 9.4. Context-aware computing
  • 9.5. Others

10. By Application

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.1.2. Market Attractiveness Index, By Application
  • 10.2. IIoT*
    • 10.2.1. Introduction
    • 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 10.3. Remote Monitoring
  • 10.4. Content Delivery
  • 10.5. Video Analytics
  • 10.6. AR&VR
  • 10.7. Others

11. By End-Use Industry

  • 11.1. Introduction
    • 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-Use Industry
    • 11.1.2. Market Attractiveness Index, By End-Use Industry
  • 11.2. Banking, Financial Services and Insurance*
    • 11.2.1. Introduction
    • 11.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 11.3. Retail
  • 11.4. Government & Defense
  • 11.5. Manufacturing
  • 11.6. Enterprise
  • 11.7. Healthcare
  • 11.8. Automotive & Transportation
  • 11.9. Others

12. By Region

  • 12.1. Introduction
    • 12.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 12.1.2. Market Attractiveness Index, By Region
  • 12.2. North America
    • 12.2.1. Introduction
    • 12.2.2. Key Region-Specific Dynamics
    • 12.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
    • 12.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 12.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 12.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-Use Industry
    • 12.2.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.2.9.1. US
      • 12.2.9.2. Canada
      • 12.2.9.3. Mexico
  • 12.3. Europe
    • 12.3.1. Introduction
    • 12.3.2. Key Region-Specific Dynamics
    • 12.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
    • 12.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 12.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 12.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.3.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-Use Industry
    • 12.3.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.3.9.1. Germany
      • 12.3.9.2. UK
      • 12.3.9.3. France
      • 12.3.9.4. Italy
      • 12.3.9.5. Spain
      • 12.3.9.6. Rest of Europe
  • 12.4. South America
    • 12.4.1. Introduction
    • 12.4.2. Key Region-Specific Dynamics
    • 12.4.3. Key Region-Specific Dynamics
    • 12.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
    • 12.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 12.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 12.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.4.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-Use Industry
    • 12.4.10. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.4.10.1. Brazil
      • 12.4.10.2. Argentina
      • 12.4.10.3. Rest of South America
  • 12.5. Asia-Pacific
    • 12.5.1. Introduction
    • 12.5.2. Key Region-Specific Dynamics
    • 12.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
    • 12.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 12.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 12.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-Use Industry
    • 12.5.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.5.9.1. China
      • 12.5.9.2. India
      • 12.5.9.3. Japan
      • 12.5.9.4. Australia
      • 12.5.9.5. Rest of Asia-Pacific
  • 12.6. Middle East and Africa
    • 12.6.1. Introduction
    • 12.6.2. Key Region-Specific Dynamics
    • 12.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
    • 12.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 12.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 12.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.6.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-Use Industry

13. Competitive Landscape

  • 13.1. Competitive Scenario
  • 13.2. Market Positioning/Share Analysis
  • 13.3. Mergers and Acquisitions Analysis

14. Company Profiles

  • 14.1. NVIDIA*
    • 14.1.1. Company Overview
    • 14.1.2. Product Portfolio and Description
    • 14.1.3. Financial Overview
    • 14.1.4. Key Developments
  • 14.2. Amazon Web Services, Inc.
  • 14.3. Arctic Wolf Networks Inc.
  • 14.4. Tata Consultancy Services
  • 14.5. Microsoft Corporation
  • 14.6. Infosys
  • 14.7. IBM Corporation
  • 14.8. Intel Corporation
  • 14.9. Cisco Systems, Inc.
  • 14.10. Nokia

LIST NOT EXHAUSTIVE

15. Appendix

  • 15.1. About Us and Services
  • 15.2. Contact Us