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市場調查報告書
商品編碼
1981789

資料中心託管：決策者視角與策略重點，2026-2027 年

Data Center Colocation: Decision-Makers' Insights and Strategic Priorities, 2026-2027
出版日期: | 出版商: Frost & Sullivan | 英文 63 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

Frost & Sullivan全球IT和業務決策年度調查的主要發現

Frost & Sullivan）的年度IT和業務決策者調查已進入第16年。該調查分析了與數位基礎設施相關的不斷變化的認知、投資重點和採購行為，並探討了在技術快速變革的背景下，企業如何將技術應用與業務目標相契合。

本研究對資料中心託管市場進行了全面深入的分析，內容涵蓋應用部署的基礎設施選擇、託管服務普及的關鍵促進因素、服務供應商的選擇標準、當前IT負載容量（2025年底）、預計容量需求（2026-2027年）、人工智慧解決方案的當前普及情況，以及需要邊緣資料中心和低延遲效能的工作負載。研究結果按地區、行業和企業規模進行細分，揭示了各個市場內部不同的市場動態。

調查結果顯示，人工智慧正在超越雲端運算，成為數位轉型的主要驅動力。因此，各組織正在加速基礎設施投資，以支援與收入成長、提升客戶體驗和營運效率等策略目標一致的人工智慧舉措。

本次調查為資料中心託管營運商、IT供應商、雲端服務供應商和企業領導者提供了託管市場新興趨勢和未來機會的實用見解。

目錄

研究目標和調查方法

  • 研究目標和調查方法
  • 受訪者概況

決策者

  • 營收成長和提升客戶體驗是首要任務。

資料中心成長機會分析

  • 運作應用程式的基礎設施類型
  • 選擇實施託管設施的主要原因
  • 選擇本地部署的主要原因
  • 選擇公共雲端部署的主要原因
  • 選擇邊緣部署的主要原因
  • 選擇託管服務供應商的標準
  • 目前IT負載能力
  • 人工智慧解決方案實施現狀
  • 邊緣資料中心和需要低延遲的工作負載

產業分析

  • 按行業分類：目前運行所用應用程式的基礎設施類型
  • 按行業分類：引入託管設施的主要原因
  • 按行業分類：選擇託管服務供應商的關鍵標準
  • 行業特定：當前IT負載能力
  • 針對特定產業的IT負載能力成長預測
  • 各產業人工智慧解決方案採用現狀
  • 特定產業：主要人工智慧部署模型
  • 按行業分類：需要邊緣資料中心的工作負載
  • 行業特定要求：延遲要求
  • 按地區分類：目前使用的應用程式執行基礎架構類型
  • 區域細分：引進託管設施的主要原因
  • 選擇託管服務供應商的區域標準
  • 區域細分：當前 IT 負載能力
  • 區域細分：IT負載能力預期成長率
  • 區域細分：人工智慧解決方案實施現狀
  • 區域細分：主要人工智慧部署模式
  • 區域細分：需要邊緣資料中心的工作負載
  • 區域延遲要求

按公司規模分析

  • 按公司規模分類的目前使用的應用程式執行基礎設施類型
  • 按公司規模分類的採用託管設施的主要原因。
  • 根據公司規模選擇託管服務供應商的關鍵標準
  • 按公司規模分類的當前IT負載能力
  • 依公司規模分類的IT負載能力預期成長率
  • 按公司規模分類的人工智慧解決方案採用現狀
  • 按公司規模分類的主要人工智慧實施模型
  • 依公司規模分類：需要邊緣資料中心的工作負載
  • 按公司規模分類的延遲要求

概括

主要發現

附錄

  • 成長機會驅動Growth Pipeline Engine
  • 成長日益困難的原因
  • The Strategic Imperative 8

下一步

  • 成長機會的優勢和影響
  • 下一步
  • 圖表清單
  • 免責聲明
簡介目錄
Product Code: KC74-67

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