封面
市场调查报告书
商品编码
1833424

资料中心即服务市场机会、成长动力、产业趋势分析及 2025 - 2034 年预测

Data Center-as-a-Service Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 - 2034

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

2024 年全球资料中心即服务市场价值为 1,646.9 亿美元,预计到 2034 年将以 14.8% 的复合年增长率成长,达到 6,588.1 亿美元。

资料中心即服务市场 - IMG1

这一激增源于对可扩展基础设施解决方案日益增长的需求,尤其是在人工智慧、物联网、机器学习和资料分析工作负载不断增长的情况下。 DCaaS 模式使企业能够避免资本密集基础架构的负担,同时获得灵活性、可扩展性和营运敏捷性。各行各业的组织越来越倾向于使用基于服务的资料中心,以便在无需投资本地硬体的情况下处理日益增长的数位工作负载。此外,对合规性、资料本地化和区域主权日益增长的担忧,正在影响企业采用特定区域的服务。 GDPR 等监管框架以及新兴经济体的本地化授权也推动了对按地理位置分類的託管资料中心服务的需求。另一个关键的成长因素是推动永续发展;随着减少碳足迹的压力越来越大,企业正在转向更环保、更节能的资料中心解决方案。

市场范围
起始年份 2024
预测年份 2025-2034
起始值 1646.9亿美元
预测值 6588.1亿美元
复合年增长率 14.8%

伺服器市场在2024年占据了59%的市场份额,预计到2034年将以15%的复合年增长率增长,这得益于企业广泛采用专为高效能运算和即时资料处理而设计的先进伺服器。企业正在投资具有更高处理密度和现代冷却技术(尤其是液体冷却系统)的下一代基础设施,以满足人工智慧和生成性工作负载等现代应用的繁重运算需求。企业基础设施的持续更新周期也推动了伺服器升级的巨大需求。

大型企业在2024年占了58%的市场份额,预计2025年至2034年的复合年增长率将达到14.7%。这些组织通常拥有复杂的营运需求、大量资料流量和更高的合规性要求。对于这类公司,DCaaS提供了安全且可扩展的解决方案,同时允许他们控制关键方面,例如法规合规性、资料隐私和应用程式效能。由于大型企业的业务分布在地理上分散,他们需要在其营运中心附近提供强大的服务交付,这进一步推动了对DCaaS模式的依赖。

2024年,北美资料中心即服务市场占据38%的市场份额,市场规模达622.2亿美元。美国和加拿大凭藉着成熟的基础设施、强大的企业数位化以及人工智慧和云端平台的快速普及,引领着这一趋势。这些国家对弹性资料中心容量的需求庞大,这些容量与高吞吐量数位服务和应用相契合。从金融服务到医疗保健等各个垂直行业的组织都在转向基于服务的模式,以实现营运现代化,同时降低长期资本支出。

资料中心即服务 (DCaaS) 市场的主要活跃参与者包括Google云端平台、亚马逊网路服务 (AWS)、CoreSite Realty、IBM Cloud、微软 Azure、腾讯云端、阿里云、甲骨文云、CyrusOne 和 Salesforce。领先的 DCaaS 供应商正在扩展其全球资料中心覆盖范围,以降低延迟并满足资料本地化需求。他们大力投资永续基础设施,包括再生能源和低排放冷却系统,以实现环保目标。提供者还在嵌入人工智慧和自动化技术,以实现预测性维护、自动扩展和智慧工作负载管理。与电信营运商在 5G 整合和边缘运算支援方面的合作正在日益深入。

目录

第一章:方法论

  • 市场范围和定义
  • 研究设计
    • 研究方法
    • 资料收集方法
  • 资料探勘来源
    • 全球的
    • 地区/国家
  • 基础估算与计算
    • 基准年计算
    • 市场评估的主要趋势
  • 初步研究和验证
    • 主要来源
  • 预测模型
  • 研究假设和局限性

第 2 章:执行摘要

第三章:行业洞察

  • 产业生态系统分析
    • 供应商格局
    • 利润率分析
    • 成本结构
    • 每个阶段的增值
    • 影响价值链的因素
    • 中断
  • 产业衝击力
    • 成长动力
      • 云端服务需求增加
      • 成本效益和可扩展性
      • 采用混合云和多云策略
      • 对资料储存和处理的需求日益增长
      • 更加重视安全性和合规性
      • 边缘运算的兴起
    • 产业陷阱与挑战
      • 资料中心基础建设初期投资高
      • 远端位置的延迟问题
    • 市场机会
      • 5G网路的扩展
      • 人工智慧和机器学习集成
      • 透过併购扩大国际影响力
      • 边缘运算解决方案的需求不断增长
  • 成长潜力分析
  • 投资与融资趋势分析
  • 网路安全威胁情势
  • 技术趋势与创新生态系统
    • 边缘运算和分散式基础设施的演进
    • 5G整合与行动边缘运算开发
    • AI/ML 工作负载最佳化与专业服务
    • 永续性和绿色资料中心技术
    • 软体定义基础设施和自动化
    • 沉浸式科技与元宇宙基础设施
  • 服务等级协定(SLA)和效能分析
    • SLA 标准和行业基准
    • SLA 监控和管理系统
    • SLA 惩罚和补偿分析
    • 效能优化与改进
  • 定价模型和成本分析
    • 主机託管定价模型
    • 云端服务定价模型
    • 託管服务定价模型
    • 总拥有成本(TCO)分析
  • 监管格局
    • 网路安全标准和框架
    • 资料保护和隐私法规
    • 实体安全和存取控制
    • 网路安全和基础设施保护
  • 供应商选择和管理框架
    • 供应商评估和选择流程
    • 多供应商策略与管理
    • 合约管理与治理
    • 供应商风险管理
  • 永续性和 ESG 影响分析
    • 社会影响力和社区关係
    • 治理与企业责任
  • Finops 和即时成本优化
    • 云端财务管理与财务营运框架
    • 资料传输和出口成本优化
  • API 经济与整合服务
    • API 管理和货币化平台
    • API 闸道和流量管理服务
    • API 分析和效能监控
  • 专利分析
  • 部署模型和创新格局
  • 波特的分析
  • PESTEL分析
  • 用例

第四章:竞争格局

  • 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
  • 主要市场参与者的竞争分析
  • 竞争定位矩阵
  • 战略展望矩阵
  • 部署模式创新与研发投资分析
  • 市场进入策略
  • 客户满意度基准测试
  • 关键进展
    • 併购
    • 伙伴关係与合作
    • 新产品发布
    • 扩张计划和资金

第五章:市场估计与预测:依基础设施划分,2021 - 2034 年

  • 主要趋势
  • 伺服器
  • 贮存
  • 联网

第六章:市场估计与预测:依组织规模,2021 - 2034 年

  • 主要趋势
  • 中小型企业
  • 大型企业

第七章:市场估计与预测:依部署模型,2021 - 2034 年

  • 主要趋势
  • 公共云端
  • 私有云端
  • 混合云端

第 8 章:市场估计与预测:按最终用途产业,2021 年至 2034 年

  • 主要趋势
  • 金融服务业协会
  • IT和电信
  • 医疗保健和生命科学
  • 政府和公共部门
  • 製造业和工业
  • 零售与电子商务
  • 其他的

第九章:市场估计与预测:按地区,2021 - 2034

  • 主要趋势
  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 西班牙
    • 北欧人
    • 俄罗斯
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 印尼
    • 菲律宾
    • 泰国
    • 韩国
    • 新加坡
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
  • 中东和非洲
    • 沙乌地阿拉伯
    • 南非
    • 阿联酋

第十章:公司简介

  • 全球参与者
    • Amazon Web Services (AWS)
    • Microsoft Azure
    • Google Cloud Platform
    • IBM Cloud
    • Oracle Cloud
    • Alibaba Cloud
    • Salesforce
    • Tencent Cloud
  • 区域参与者
    • Equinix
    • Digital Realty Trust
    • CyrusOne
    • CoreSite Realty
    • Iron Mountain
    • QTS Realty Trust
    • Switch
    • Cyxtera Technologies
    • Flexential
  • 新兴参与者/颠覆者
    • Rackspace Technology
    • Lumen Technologies
    • Verizon Business
    • AT&T Business
    • NTT Communications
    • OVHcloud
    • Liquid Web
    • InterServer
简介目录
Product Code: 14744

The Global Data Center-as-a-Service Market was valued at USD 164.69 billion in 2024 and is estimated to grow at a CAGR of 14.8% to reach USD 658.81 billion by 2034.

Data Center-as-a-Service Market - IMG1

This surge is driven by the growing need for scalable infrastructure solutions, especially in the face of rising AI, IoT, machine learning, and data analytics workloads. The DCaaS model enables businesses to avoid the burden of capital-intensive infrastructure while gaining flexibility, scalability, and operational agility. Organizations across industries are increasingly leaning toward service-based data center consumption to handle their growing digital workloads without investing in on-premises hardware. Additionally, rising concerns around compliance, data localization, and regional sovereignty are influencing enterprises to adopt region-specific services. Regulatory frameworks such as GDPR and localized mandates in emerging economies are also prompting demand for geographically segmented managed data center services. Another critical growth factor is the push for sustainability; as pressure builds to reduce carbon footprints, companies are moving toward greener, energy-efficient data center solutions.

Market Scope
Start Year2024
Forecast Year2025-2034
Start Value$164.69 Billion
Forecast Value$658.81 Billion
CAGR14.8%

The servers segment held a 59% share in 2024 and is anticipated to grow at a CAGR of 15% through 2034, fueled by widespread enterprise adoption of advanced servers designed for high-performance computing and real-time data processing. Enterprises are investing in next-generation infrastructure with higher processing densities and modern cooling technologies, especially liquid-based systems, to meet the heavy compute requirements of modern applications such as AI and generative workloads. The ongoing refresh cycle in enterprise infrastructure is also driving substantial demand for server upgrades.

The large enterprises segment accounted for a 58% share in 2024 and is expected to grow at a CAGR of 14.7% from 2025 to 2034. These organizations typically have complex operational demands, large-scale data traffic, and heightened compliance needs. For such companies, DCaaS offers a secure and scalable solution while allowing them to retain control over critical aspects such as regulatory compliance, data privacy, and application performance. With geographically distributed operations, large enterprises require robust service delivery near their operational hubs, which further drives reliance on DCaaS models.

North America Data Center-as-a-Service Market held a 38% share in 2024, generating USD 62.22 billion. The United States and Canada are leading the charge due to mature infrastructure, strong enterprise digitization, and rapid adoption of AI and cloud platforms. These nations are home to significant demand for elastic data center capacity that aligns with high-throughput digital services and applications. Organizations across various verticals from financial services to healthcare are turning to service-based models to modernize operations while reducing long-term capital expenditures.

Key players active in the Data Center-as-a-Service Market include Google Cloud Platform, Amazon Web Services (AWS), CoreSite Realty, IBM Cloud, Microsoft Azure, Tencent Cloud, Alibaba Cloud, Oracle Cloud, CyrusOne, and Salesforce. Leading DCaaS providers are expanding their global data center footprint to reduce latency and address data localization demands. They are heavily investing in sustainable infrastructure, including renewable energy and low-emission cooling systems, to meet environmental goals. Providers are also embedding AI and automation to enable predictive maintenance, auto-scaling, and intelligent workload management. Collaborations with telecom carriers for 5G integration and edge computing support are gaining traction.

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 model
  • 1.7 Research assumptions and limitations

Chapter 2 Executive Summary

  • 2.1 Industry 360° synopsis, 2021 - 2034
  • 2.2 Key market trends
    • 2.2.1 Regional
    • 2.2.2 Infrastructure
    • 2.2.3 Organization size
    • 2.2.4 Deployment model
    • 2.2.5 End use industry
  • 2.3 TAM analysis, 2025-2034
  • 2.4 CXO perspectives: Strategic imperatives
    • 2.4.1 Executive decision points
    • 2.4.2 Critical success factors
  • 2.5 Future-outlook and 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 Growth drivers
      • 3.2.1.1 Increased demand for cloud services
      • 3.2.1.2 Cost efficiency and scalability
      • 3.2.1.3 Adoption of hybrid and multi-cloud strategies
      • 3.2.1.4 Growing need for data storage and processing
      • 3.2.1.5 Enhanced focus on security and compliance
      • 3.2.1.6 Rise in edge computing
    • 3.2.2 Industry pitfalls and challenges
      • 3.2.2.1 High initial investment for data center infrastructure
      • 3.2.2.2 Latency issues in remote locations
    • 3.2.3 Market opportunities
      • 3.2.3.1 Expansion of 5G networks
      • 3.2.3.2 Ai and machine learning integration
      • 3.2.3.3 Mergers and acquisitions to expand international footprint
      • 3.2.3.4 Rising demand for edge computing solutions
  • 3.3 Growth potential analysis
  • 3.4 Investment & funding trends analysis
  • 3.5 Cybersecurity threat landscape
  • 3.6 Technology trends & innovation ecosystem
    • 3.6.1 Edge computing & distributed infrastructure evolution
    • 3.6.2 5G integration & mobile edge computing development
    • 3.6.3 AI/ML workload optimization & specialized services
    • 3.6.4 Sustainability & green data center technology
    • 3.6.5 Software-defined infrastructure & automation
    • 3.6.6 Immersive technology & metaverse infrastructure
  • 3.7 Service level agreement (SLA) & performance analysis
    • 3.7.1 SLA standards & industry benchmarks
    • 3.7.2 SLA monitoring & management systems
    • 3.7.3 SLA penalty & compensation analysis
    • 3.7.4 Performance optimization & improvement
  • 3.8 Pricing models & cost analysis
    • 3.8.1 Colocation pricing models
    • 3.8.2 Cloud services pricing models
    • 3.8.3 Managed services pricing models
    • 3.8.4 Total cost of ownership (TCO) analysis
  • 3.9 Regulatory landscape
    • 3.9.1 Cybersecurity standards & frameworks
    • 3.9.2 Data protection & privacy regulations
    • 3.9.3 Physical security & access control
    • 3.9.4 Network security & infrastructure protection
  • 3.10 Vendor selection & management framework
    • 3.10.1 Vendor evaluation & selection process
    • 3.10.2 Multi-vendor strategy & management
    • 3.10.3 Contract management & governance
    • 3.10.4 Vendor risk management
  • 3.11 Sustainability & ESG impact analysis
    • 3.11.1 Social impact & community relations
    • 3.11.2 Governance & corporate responsibility
  • 3.12 Finops & real-time cost optimization
    • 3.12.1 Cloud financial management & finops framework
    • 3.12.2 Data transfer & egress cost optimization
  • 3.13 API economy & integration services
    • 3.13.1 API management & monetization platforms
    • 3.13.2 API gateway & traffic management services
    • 3.13.3 API analytics & performance monitoring
  • 3.14 Patent analysis
  • 3.15 Deployment model and innovation landscape
  • 3.16 Porter’s analysis
  • 3.17 PESTEL analysis
  • 3.18 Use Cases

Chapter 4 Competitive Landscape, 2024

  • 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 Latin America
    • 4.2.5 Middle East & Africa
  • 4.3 Competitive analysis of major market players
  • 4.4 Competitive positioning matrix
  • 4.5 Strategic outlook matrix
  • 4.6 Deployment Model innovation & R&D investment analysis
  • 4.7 Go-to-market strategies
  • 4.8 Customer satisfaction benchmarking
  • 4.9 Key developments
    • 4.9.1 Mergers & acquisitions
    • 4.9.2 Partnerships & collaborations
    • 4.9.3 New product launches
    • 4.9.4 Expansion plans and funding

Chapter 5 Market Estimates & Forecast, By Infrastructure, 2021 - 2034 (USD Bn)

  • 5.1 Key trends
  • 5.2 Servers
  • 5.3 Storage
  • 5.4 Networking

Chapter 6 Market Estimates & Forecast, By Organization Size, 2021 - 2034 (USD Bn)

  • 6.1 Key trends
  • 6.2 Small/medium enterprises
  • 6.3 Large enterprises

Chapter 7 Market Estimates & Forecast, By Deployment Model, 2021 - 2034 (USD Bn)

  • 7.1 Key trends
  • 7.2 Public cloud
  • 7.3 Private cloud
  • 7.4 Hybrid cloud

Chapter 8 Market Estimates & Forecast, By End use Industry, 2021 - 2034 (USD Bn)

  • 8.1 Key trends
  • 8.2 BFSI
  • 8.3 IT and telecom
  • 8.4 Healthcare and life sciences
  • 8.5 Government and public sector
  • 8.6 Manufacturing and industrial
  • 8.7 Retail and e-commerce
  • 8.8 Others

Chapter 9 Market Estimates & Forecast, By Region, 2021 - 2034 (USD Bn)

  • 9.1 Key trends
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 France
    • 9.3.4 Italy
    • 9.3.5 Spain
    • 9.3.6 Nordics
    • 9.3.7 Russia
  • 9.4 Asia Pacific
    • 9.4.1 China
    • 9.4.2 India
    • 9.4.3 Japan
    • 9.4.4 Australia
    • 9.4.5 Indonesia
    • 9.4.6 Philippines
    • 9.4.7 Thailand
    • 9.4.8 South Korea
    • 9.4.9 Singapore
  • 9.5 Latin America
    • 9.5.1 Brazil
    • 9.5.2 Mexico
    • 9.5.3 Argentina
  • 9.6 Middle East and Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 South Africa
    • 9.6.3 UAE

Chapter 10 Company Profiles

  • 10.1 Global Players
    • 10.1.1 Amazon Web Services (AWS)
    • 10.1.2 Microsoft Azure
    • 10.1.3 Google Cloud Platform
    • 10.1.4 IBM Cloud
    • 10.1.5 Oracle Cloud
    • 10.1.6 Alibaba Cloud
    • 10.1.7 Salesforce
    • 10.1.8 Tencent Cloud
  • 10.2 Regional Players
    • 10.2.1 Equinix
    • 10.2.2 Digital Realty Trust
    • 10.2.3 CyrusOne
    • 10.2.4 CoreSite Realty
    • 10.2.5 Iron Mountain
    • 10.2.6 QTS Realty Trust
    • 10.2.7 Switch
    • 10.2.8 Cyxtera Technologies
    • 10.2.9 Flexential
  • 10.3 Emerging Players / Disruptors
    • 10.3.1 Rackspace Technology
    • 10.3.2 Lumen Technologies
    • 10.3.3 Verizon Business
    • 10.3.4 AT&T Business
    • 10.3.5 NTT Communications
    • 10.3.6 OVHcloud
    • 10.3.7 Liquid Web
    • 10.3.8 InterServer