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市场调查报告书
商品编码
1981789
资料中心託管：决策者视角与策略重点，2026-2027 年Data Center Colocation: Decision-Makers' Insights and Strategic Priorities, 2026-2027 |
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Frost & Sullivan全球IT和业务决策年度调查的主要发现
Frost & Sullivan）的年度IT和业务决策者调查已进入第16年。该调查分析了与数位基础设施相关的不断变化的认知、投资重点和采购行为，并探讨了在技术快速变革的背景下，企业如何将技术应用与业务目标相契合。
本研究对资料中心託管市场进行了全面深入的分析，内容涵盖应用部署的基础设施选择、託管服务普及的关键驱动因素、服务供应商的选择标准、当前IT负载容量（2025年底）、预计容量需求（2026-2027年）、人工智慧解决方案的当前普及情况，以及需要边缘资料中心和低延迟效能的工作负载。研究结果按地区、行业和企业规模进行细分，揭示了各个市场内部不同的市场动态。
调查结果显示，人工智慧正在超越云端运算，成为数位转型的主要驱动力。因此，各组织正在加速基础设施投资，以支援与收入成长、提升客户体验和营运效率等策略目标一致的人工智慧倡议。
本次调查为资料中心託管营运商、IT供应商、云端服务供应商和企业领导者提供了託管市场新兴趋势和未来机会的实用见解。
目录
研究目标和调查方法
- 研究目标和调查方法
- 受访者概况
决策者
- 营收成长和提升客户体验是首要任务。
资料中心成长机会分析
- 运作应用程式的基础设施类型
- 选择实施託管设施的主要原因
- 选择本地部署的主要原因
- 选择公共云端部署的主要原因
- 选择边缘部署的主要原因
- 选择託管服务供应商的标准
- 目前IT负载能力
- 人工智慧解决方案实施现状
- 边缘资料中心和需要低延迟的工作负载
产业分析
- 按行业划分：目前运行所用应用程式的基础设施类型
- 按行业划分：引入託管设施的主要原因
- 按行业划分：选择託管服务供应商的关键标准
- 行业特定：当前IT负载能力
- 针对特定产业的IT负载能力成长预测
- 各产业人工智慧解决方案采用现状
- 特定产业：主要人工智慧部署模型
- 按行业划分：需要边缘资料中心的工作负载
- 行业特定要求：延迟要求
- 按地区划分：目前使用的应用程式执行基础架构类型
- 区域细分：引进託管设施的主要原因
- 选择託管服务供应商的区域标准
- 区域细分：当前 IT 负载能力
- 区域细分：IT负载能力预期成长率
- 区域细分：人工智慧解决方案实施现状
- 区域细分：主要人工智慧部署模式
- 区域细分：需要边缘资料中心的工作负载
- 区域延迟要求
按公司规模分析
- 按公司规模分類的目前使用的应用程式执行基础设施类型
- 按公司规模分類的采用託管设施的主要原因。
- 根据公司规模选择託管服务供应商的关键标准
- 按公司规模分類的当前IT负载能力
- 依公司规模分類的IT负载能力预期成长率
- 按公司规模分類的人工智慧解决方案采用现状
- 按公司规模分類的主要人工智慧实施模型
- 依公司规模划分：需要边缘资料中心的工作负载
- 按公司规模分類的延迟要求
概括
主要发现
附录
- 成长机会驱动Growth Pipeline Engine
- 成长日益困难的原因
- The Strategic Imperative 8
下一步
- 成长机会的优势和影响
- 下一步
- 图表清单
- 免责声明
Highlights from the Annual Frost & Sullivan Global IT and Business Decision-Makers Survey
Frost & Sullivan's annual survey of IT and business decision-makers, now in its 16th year, examines evolving perceptions, investment priorities, and purchasing behaviors related to digital infrastructure. The study explores how organizations align technology adoption with business objectives amid rapid technological change.
This research presents comprehensive insights into the data center colocation market, including infrastructure choices for application deployment; key drivers for adopting colocation services; criteria for selecting service providers; current IT load capacity (end of 2025); projected capacity requirements (2026-2027); the status of AI solution deployment; and workloads requiring edge data centers and low-latency performance. Findings are segmented by region, industry, and company size to reveal distinct market dynamics.
Survey results indicate that artificial intelligence has surpassed cloud computing as the primary driver of digital transformation. Consequently, organizations are accelerating infrastructure investments to support AI initiatives aligned with strategic objectives, including revenue growth, enhanced customer experience, and operational efficiency.
Overall, this study provides actionable insights for data center colocation providers, IT vendors, cloud service providers, and enterprise leaders on emerging trends and future opportunities in the colocation market.
Table of Contents
Research Objectives and Methodology
- Research Objectives and Methodology
- Respondent Profile
Decision-Makers
- Revenue Growth and CX Improvement are the Top Priorities
Data Center Growth Opportunity Analysis
- Type of Infrastructure to Run Applications
- Key Reasons for Choosing Colocation Facility Deployment
- Key Reasons for Choosing On-Premises Deployment
- Key Reasons for Choosing Public Cloud Deployment
- Key Reasons for Choosing Edge Location Deployment
- Criteria When Choosing a Colocation Service Provider
- Current IT Load Capacity
- Current State of AI Solutions Deployment
- Workloads that Require Edge Data Center and Latency Requirements
Analysis by Sector
- Type of Infrastructure to Run Applications Used Today by Sector
- Key Reasons for Choosing Colocation Facility Deployment by Sector
- Key Criteria When Choosing a Colocation Service Provider by Sector
- Current IT Load Capacity by Sector
- Expected Increase in IT Load Capacity by Sector
- Current State of AI Solutions Deployment by Sector
- Main AI Deployment Model by Sector
- Workloads that Require Edge Data Center by Sector
- Latency Requirements by Sector
- Type of Infrastructure to Run Applications Used Today by Region
- Key Reasons for Choosing Colocation Facility Deployment by Region
- Top 3 Criteria When Choosing a Colocation Service Provider by Region
- Current IT Load Capacity by Region
- Expected Increase in IT Load Capacity by Region
- Current State of AI Solutions Deployment by Region
- Main AI Deployment Model by Region
- Workloads that Require Edge Data Center by Region
- Latency Requirements by Region
Analysis by Company Size
- Type of Infrastructure to Run Applications Used Today by Company Size
- Key Reasons for Choosing Colocation Facility Deployment by Company Size
- Key Criteria When Choosing a Colocation Service Provider by Company Size
- Current IT Load Capacity by Company Size
- Expected Increase in IT Load Capacity by Company Size
- Current State of AI Solutions Deployment by Company Size
- Main AI Deployment Model by Company Size
- Workloads that Require Edge Data Center by Company Size
- Latency Requirements by Company Size
The Last Word
Key Findings
Appendix
- Growth Opportunities Fuel the Growth Pipeline EngineTM
- Why is it Increasingly Difficult to Grow?
- The Strategic Imperative 8TM
Next Steps
- Benefits and Impacts of Growth Opportunities
- Next Steps
- List of Exhibits
- Legal Disclaimer
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