封面
市场调查报告书
商品编码
1913475

边缘资料中心市场机会、成长要素、产业趋势分析及2026年至2035年预测

Edge Data Center Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2026 - 2035

出版日期: | 出版商: Global Market Insights Inc. | 英文 230 Pages | 商品交期: 2-3个工作天内

价格
简介目录

全球边缘资料中心市场预计到 2025 年将达到 147 亿美元,到 2035 年将达到 719 亿美元,年复合成长率为 17.5%。

边缘资料中心市场-IMG1

随着互联生态系统对即时运算的需求持续成长,低延迟数位基础设施的需求也日益增长,市场扩张正是这一趋势的体现。为了支援即时资料处理、更快的回应速度和不间断的服务交付,企业越来越需要将运算资源部署在更靠近终端使用者和资料产生点的位置。下一代连接和分散式运算框架的快速部署正在重塑基础设施策略,并推动分散式架构的发展,从而减少对集中式云端设施的依赖。随着资料量的激增,本地处理使企业能够更有效率地管理工作负载,同时减少网路拥塞并提高业务连续性。人工智慧的普及进一步强化了对地理分散式运算的需求,因为在更靠近资料来源的位置进行推理可以提高速度、准确性和可靠性。此外,关于资料居住和管治的合规性要求企业和公共机构必须在规定的地理范围内储存和处理讯息,这进一步提升了边缘资料中心在现代数位生态系统中的战略重要性。

市场覆盖范围
开始年份 2025
预测年份 2026-2035
起始值 147亿美元
预测金额 719亿美元
复合年增长率 17.5%

预计到 2025 年,软体即服务 (SaaS) 细分市场将占 74% 的市场份额,到 2035 年将达到 503 亿美元。这一主导地位是由对整合平台的需求所驱动的,这些平台能够实现跨分散式基础设施的无缝协作,同时确保一致的效能、可扩展性和营运弹性。

预计到 2025 年,超大规模和企业资料中心领域将占 45% 的市场份额,到 2035 年将达到 321 亿美元。大型营运商继续在人口中心和资料中心附近部署规模小规模、分散式的设施,以提高延迟效能、工作负载弹性和运算效率。

预计到 2035 年,中国边缘资料中心市场规模将达到 97 亿美元。政策支持、不断扩大的数位基础设施和国家技术倡议正在刺激对在地化资料处理的投资。

目录

第一章调查方法

第二章执行摘要

第三章业界考察

  • 生态系分析
    • 供应商情况
    • 利润率分析
    • 成本结构
    • 每个阶段的附加价值
    • 影响价值链的因素
    • 中断
  • 产业影响因素
      • 司机
      • 超低延迟要求
      • 5G和MEC扩展
      • 边缘人工智慧推理
      • 物联网和感测器的普及
      • 数据主权合规性
    • 产业潜在风险与挑战
      • 高额的基础设施安装成本
      • 安全和管理复杂性
    • 市场机会
      • 边缘人工智慧与自动化发展
      • 扩大智慧城市基础设施
      • 多租户边缘託管
      • 超大规模资料中心业者和通讯业者之间的边缘协作
  • 成长潜力分析
  • 监管环境
    • 北美洲
      • 美国- 加州消费者隐私法案
      • 加拿大 - 个人资讯保护和电子文件法
    • 欧洲
      • 英国- 资料保护法
      • 德国 - 联邦资料保护法
      • 法国——数位共和国法案
      • 义大利 - 个人资料保护法
      • 西班牙—资料保护与数位权利组织法
    • 亚太地区
      • 中国 - 个人资讯保护法
      • 日本—个人资讯保护法
      • 印度 - 数位个人资料保护法
    • 拉丁美洲
      • 巴西 - 通用资料保护法
      • 墨西哥 - 个人资料保护联邦法(私人实体持有的个人资料)
      • 阿根廷 - 个人资料保护法
    • 中东和非洲
      • 阿联酋个人资料保护法
      • 南非 - 个人资讯保护法
      • 沙乌地阿拉伯 - 个人资料保护法
  • 波特五力分析
  • PESTEL 分析
  • 技术与创新展望
    • 当前技术趋势
    • 新兴技术
  • 成本細項分析
    • 开发成本结构
    • 研发成本分析
    • 行销和销售成本
  • 专利分析
  • 永续性和环境方面
    • 永续实践
    • 减少废弃物策略
    • 生产中的能源效率
    • 环保倡议
  • 边缘部署模型和拓朴框架
    • 本地部署、近边缘和远边缘架构
    • 网路边缘、运算边缘和资料边缘
    • 都市区和农村部署考虑因素
  • 边缘和超大规模动态
  • 边缘操作、远端系统管理和可靠性风险
  • 互连和网络依赖性分析
  • 未来边缘架构演进
    • AI原生边缘基础设施
    • 边缘、云端和网路功能的融合
    • 主权和受监管优势的长期影响

第四章 竞争情势

  • 介绍
  • 公司市占率分析
    • 北美洲
    • 欧洲
    • 亚太地区
    • 拉丁美洲
    • 中东和非洲
  • 主要市场公司的竞争分析
  • 竞争定位矩阵
  • 战略展望矩阵
  • 重大进展
    • 併购
    • 伙伴关係与合作
    • 新产品发布
    • 企业扩张计画和资金筹措

第五章 按组件分類的市场估算与预测,2022-2035年

  • 解决方案
  • 服务

第六章 市场估算与预测:依资料中心规模划分,2022-2035年

  • 微型资料中心
  • 超大规模/企业级资料中心
  • 其他的

7. 按所有权类型分類的市场估算与预测,2022-2035 年

  • 通讯业者边缘
  • 超大规模云边缘
  • 公司所有边缘
  • CDN提供者边缘

8. 按机架数量分類的市场估算与预测,2022-2035 年

  • 小规模(1至10个货架)
  • 中等规模(10 至 100 个货架)
  • 大型(100个货架或更多)

第九章 按应用领域分類的市场估算与预测,2022-2035年

  • BFSI
  • 搭配
  • 活力
  • 政府
  • 卫生保健
  • 製造业
  • 资讯科技/通讯
  • 其他的

第十章 2022-2035年各地区市场估计与预测

  • 北美洲
    • 美国
    • 加拿大
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 西班牙
    • 俄罗斯
    • 北欧国家
    • 葡萄牙
    • 克罗埃西亚
    • 比荷卢经济联盟
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 韩国
    • 新加坡
    • 泰国
    • 印尼
    • 越南
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
    • 哥伦比亚
  • 中东和非洲
    • 南非
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 土耳其

第十一章 公司简介

  • 世界玩家
    • Dell Technologies
    • IBM
    • Huawei Technologies
    • Hewlett Packard Enterprise Company
    • Eaton
    • Vertiv
    • Fujitsu
    • Schneider Electric
    • Cisco Systems
    • Oracle
  • 区域玩家
    • Rittal
    • Flexential
    • EdgeConnex
    • NTT
    • Equinix
    • a. Digital Realty
    • CyrusOne
    • QTS Realty Trust
    • CoreSite Realty
    • Interxion
  • Emerging/Disruptor Players
    • 365 Operating Company
    • Vapor IO
    • EdgePresence
    • Vantage Data Centers
    • EdgeMicro
    • Compass Data Centers
    • Aligned Energy
    • Cologix
    • DataBank
简介目录
Product Code: 2421

The Global Edge Data Center Market was valued at USD 14.7 billion in 2025 and is estimated to grow at a CAGR of 17.5% to reach USD 71.9 billion by 2035.

Edge Data Center Market - IMG1

Market expansion reflects the accelerating demand for low-latency digital infrastructure as real-time computing requirements continue to rise across connected ecosystems. Organizations increasingly require computing resources to be deployed closer to end users and data generation points to support instantaneous data processing, faster response times, and uninterrupted service delivery. The rapid rollout of next-generation connectivity and distributed computing frameworks is reshaping infrastructure strategies, encouraging decentralized architectures that reduce reliance on centralized cloud facilities. As data volumes surge, localized processing enables enterprises to manage workloads more efficiently while reducing network congestion and improving operational continuity. Artificial intelligence adoption is further reinforcing the need for geographically distributed computing, as near-source inference enhances speed, accuracy, and reliability. Additionally, compliance requirements related to data residency and governance are pushing enterprises and public institutions to store and process information within defined geographic boundaries, reinforcing the strategic importance of edge data centers in modern digital ecosystems.

Market Scope
Start Year2025
Forecast Year2026-2035
Start Value$14.7 Billion
Forecast Value$71.9 Billion
CAGR17.5%

The solution-as-a-service segment accounted for 74% share in 2025 and is forecast to reach USD 50.3 billion by 2035. This dominance is driven by demand for integrated platforms that enable seamless coordination across distributed infrastructure while ensuring consistent performance, scalability, and operational resilience.

The hyperscale and enterprise data center segment held a 45% share in 2025 and is expected to reach USD 32.1 billion by 2035. Large operators continue to deploy smaller, distributed facilities closer to population and data hubs to improve latency performance, workload resilience, and computing efficiency.

China Edge Data Center Market is projected to reach USD 9.7 billion by 2035. Policy support, digital infrastructure expansion, and national technology initiatives are accelerating localized data processing investments.

Key companies active in the Global Edge Data Center Market include Schneider Electric, Dell Technologies, Vertiv, Huawei Technologies, Hewlett Packard Enterprise Company, Eaton, IBM, Fujitsu, EdgeConnex, Rittal, Flexential, Vapor, and EdgePresence. Companies operating in the Global Edge Data Center Market are strengthening their market position through strategic infrastructure expansion, modular deployment models, and technology integration. Providers are investing in scalable and standardized solutions to accelerate deployment timelines and reduce operational complexity. Partnerships with telecom operators, cloud platforms, and enterprise clients support ecosystem integration and long-term contracts. Firms are also prioritizing energy efficiency, automation, and remote management capabilities to improve reliability and cost performance.

Table of Contents

Chapter 1 Methodology

  • 1.1 Market scope and definition
  • 1.2 Research design
    • 1.2.1 Research approach
    • 1.2.2 Data collection methods
  • 1.3 Data mining sources
    • 1.3.1 Global
    • 1.3.2 Regional/Country
  • 1.4 Base estimates and calculations
    • 1.4.1 Base year calculation
    • 1.4.2 Key trends for market estimation
  • 1.5 Primary research and validation
    • 1.5.1 Primary sources
  • 1.6 Forecast
  • 1.7 Research assumptions and limitations

Chapter 2 Executive Summary

  • 2.1 Industry 360° synopsis, 2022 - 2035
  • 2.2 Key market trends
    • 2.2.1 Regional
    • 2.2.2 Component
    • 2.2.3 Data center size
    • 2.2.4 Ownership
    • 2.2.5 Rack count
    • 2.2.6 Application
  • 2.3 TAM Analysis, 2026-2035
  • 2.4 CXO perspectives: Strategic imperatives
    • 2.4.1 Executive decision points
    • 2.4.2 Critical success factors
  • 2.5 Future outlook & strategic recommendations

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
    • 3.1.1 Supplier landscape
    • 3.1.2 Profit margin analysis
    • 3.1.3 Cost structure
    • 3.1.4 Value addition at each stage
    • 3.1.5 Factor affecting the value chain
    • 3.1.6 Disruptions
  • 3.2 Industry impact forces
      • 3.2.1.1 Growth drivers
      • 3.2.1.2 Ultra-low latency requirements
      • 3.2.1.3 5G and MEC expansion
      • 3.2.1.4 AI inference at edge
      • 3.2.1.5 IoT and sensor proliferation
      • 3.2.1.6 Data sovereignty compliance
    • 3.2.2 Industry pitfalls and challenges
      • 3.2.2.1 High infrastructure deployment costs
      • 3.2.2.2 Security and management complexity
    • 3.2.3 Market opportunities
      • 3.2.3.1 Edge AI and automation growth
      • 3.2.3.2 Smart city infrastructure expansion
      • 3.2.3.3 Multi-tenant edge colocation
      • 3.2.3.4 Hyperscaler-telco edge partnerships
  • 3.3 Growth potential analysis
  • 3.4 Regulatory landscape
    • 3.4.1 North America
      • 3.4.1.1 U.S. - California Consumer Privacy Act
      • 3.4.1.2 Canada - Personal Information Protection and Electronic Documents Act
    • 3.4.2 Europe
      • 3.4.2.1 UK - Data Protection Act
      • 3.4.2.2 Germany - Federal Data Protection Act
      • 3.4.2.3 France - Digital Republic Act
      • 3.4.2.4 Italy - Personal Data Protection Code
      • 3.4.2.5 Spain - Organic Law on Data Protection and Digital Rights
    • 3.4.3 Asia Pacific
      • 3.4.3.1 China - Personal Information Protection Law
      • 3.4.3.2 Japan - Act on the Protection of Personal Information
      • 3.4.3.3 India - Digital Personal Data Protection Act
    • 3.4.4 Latin America
      • 3.4.4.1 Brazil - General Data Protection Law
      • 3.4.4.2 Mexico - Federal Law on Protection of Personal Data Held by Private Parties
      • 3.4.4.3 Argentina - Personal Data Protection Law
    • 3.4.5 Middle East & Africa
      • 3.4.5.1 UAE - Personal Data Protection Law
      • 3.4.5.2 South Africa - Protection of Personal Information Act
      • 3.4.5.3 Saudi Arabia - Personal Data Protection Law
  • 3.5 Porter's analysis
  • 3.6 PESTEL analysis
  • 3.7 Technology and innovation landscape
    • 3.7.1 Current technological trends
    • 3.7.2 Emerging technologies
  • 3.8 Cost breakdown analysis
    • 3.8.1 Development cost structure
    • 3.8.2 R&D cost analysis
    • 3.8.3 Marketing & sales costs
  • 3.9 Patent analysis
  • 3.10 Sustainability and environmental aspects
    • 3.10.1 Sustainable practices
    • 3.10.2 Waste reduction strategies
    • 3.10.3 Energy efficiency in production
    • 3.10.4 Eco-friendly Initiatives
  • 3.11 Edge deployment models & topology framework
    • 3.11.1 On-premise, near-edge & far-edge architectures
    • 3.11.2 Network edge vs compute edge vs data edge
    • 3.11.3 Urban vs rural deployment considerations
  • 3.12 Edge vs hyperscale dynamics
  • 3.13 Edge operations, remote management & reliability risks
  • 3.14 Interconnection & network dependency analysis
  • 3.15 Future edge architecture evolution
    • 3.15.1 AI-native edge infrastructure
    • 3.15.2 Convergence of edge, cloud and network functions
    • 3.15.3 Long-term implications of sovereign and regulated edge

Chapter 4 Competitive Landscape, 2025

  • 4.1 Introduction
  • 4.2 Company market share analysis
    • 4.2.1 North America
    • 4.2.2 Europe
    • 4.2.3 Asia Pacific
    • 4.2.4 LATAM
    • 4.2.5 MEA
  • 4.3 Competitive analysis of major market players
  • 4.4 Competitive positioning matrix
  • 4.5 Strategic outlook matrix
  • 4.6 Key developments
    • 4.6.1 Mergers & acquisitions
    • 4.6.2 Partnerships & collaborations
    • 4.6.3 New Product Launches
    • 4.6.4 Expansion Plans and funding

Chapter 5 Market Estimates & Forecast, By Component, 2022 - 2035 ($Bn)

  • 5.1 Key trends
  • 5.2 Solution
  • 5.3 Service

Chapter 6 Market Estimates & Forecast, By Data Center Size, 2022 - 2035 ($Bn)

  • 6.1 Key trends
  • 6.2 Micro Data Center
  • 6.3 Hyperscale/Enterprise Data Center
  • 6.4 Others

Chapter 7 Market Estimates & Forecast, By Ownership, 2022 - 2035 ($Bn)

  • 7.1 Key trends
  • 7.2 Telecom operator edge
  • 7.3 Hyperscale cloud edge
  • 7.4 Enterprise-owned edge
  • 7.5 CDN provider edge

Chapter 8 Market Estimates & Forecast, By Rack Count, 2022-2035 (USD Mn)

  • 8.1 Key trends
  • 8.2 Small (1-10 racks)
  • 8.3 Medium (10-100 racks)
  • 8.4 Large (>100 racks)

Chapter 9 Market Estimates & Forecast, By Application, 2022 - 2035 (USD Mn)

  • 9.1 Key trends
  • 9.2 BFSI
  • 9.3 Colocation
  • 9.4 Energy
  • 9.5 Government
  • 9.6 Healthcare
  • 9.7 Manufacturing
  • 9.8 IT & Telecom
  • 9.9 Others

Chapter 10 Market Estimates & Forecast, By Region, 2022 - 2035 (USD Mn)

  • 10.1 Key trends
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 France
    • 10.3.4 Italy
    • 10.3.5 Spain
    • 10.3.6 Russia
    • 10.3.7 Nordics
    • 10.3.8 Portugal
    • 10.3.9 Croatia
    • 10.3.10 Benelux
  • 10.4 Asia Pacific
    • 10.4.1 China
    • 10.4.2 India
    • 10.4.3 Japan
    • 10.4.4 Australia
    • 10.4.5 South Korea
    • 10.4.6 Singapore
    • 10.4.7 Thailand
    • 10.4.8 Indonesia
    • 10.4.9 Vietnam
  • 10.5 Latin America
    • 10.5.1 Brazil
    • 10.5.2 Mexico
    • 10.5.3 Argentina
    • 10.5.4 Colombia
  • 10.6 MEA
    • 10.6.1 South Africa
    • 10.6.2 Saudi Arabia
    • 10.6.3 UAE
    • 10.6.4 Turkey

Chapter 11 Company Profiles

  • 11.1 Global Players
    • 11.1.1 Dell Technologies
    • 11.1.2 IBM
    • 11.1.3 Huawei Technologies
    • 11.1.4 Hewlett Packard Enterprise Company
    • 11.1.5 Eaton
    • 11.1.6 Vertiv
    • 11.1.7 Fujitsu
    • 11.1.8 Schneider Electric
    • 11.1.9 Cisco Systems
    • 11.1.10 Oracle
  • 11.2 Regional Players
    • 11.2.1 Rittal
    • 11.2.2 Flexential
    • 11.2.3 EdgeConnex
    • 11.2.4 NTT
    • 11.2.5 Equinix
    • 11.2.6 a. Digital Realty
    • 11.2.7 CyrusOne
    • 11.2.8 QTS Realty Trust
    • 11.2.9 CoreSite Realty
    • 11.2.10 Interxion
  • 11.3 Emerging / Disruptor Players
    • 11.3.1. 365 Operating Company
    • 11.3.2 Vapor IO
    • 11.3.3 EdgePresence
    • 11.3.4 Vantage Data Centers
    • 11.3.5 EdgeMicro
    • 11.3.6 Compass Data Centers
    • 11.3.7 Aligned Energy
    • 11.3.8 Cologix
    • 11.3.9 DataBank