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市场调查报告书
商品编码
1939710

资料中心基础设施管理（DCIM）：市场占有率分析、产业趋势与统计资料、成长预测（2026-2031）

Data Center Infrastructure Management (DCIM) - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2026 - 2031)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3个工作天内

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简介目录

2025 年资料中心基础设施管理 (DCIM) 市场价值为 36.2 亿美元，预计到 2031 年将达到 99.9 亿美元，高于 2026 年的 42.9 亿美元。

预测期（2026-2031 年）的复合年增长率预计为 18.43%。

资料中心基础设施管理 (DCIM) - 市场 - IMG1

人工智慧驱动的热负荷、欧盟强制性能源使用揭露以及全球范围内单园区容量超过500兆瓦的超大规模计划浪潮，共同推动了资料中心产业的成长。服务提供者正日益采用预测分析技术，以满足网路保险的遥测要求，并将合规性转化为可衡量的节能效果。由于资料中心营运商长期面临设施工程师短缺的问题，与託管资料中心基础设施管理 (DCIM) 相关的服务正经历最快的成长。竞争的焦点在于能够优化机架级冷却、电力和资产利用率的整合式软硬体组合。投资人正将资金筹措与检验的ESG 指标挂钩，并将 DCIM 认证的能源效率作为新建设和维修的差异化优势。

全球资料中心基础设施管理 (DCIM) 市场趋势与洞察

加速净零排放和强制性能源资讯揭露

欧盟能源效率指令要求所有超过500kW的资料中心在2024年9月前揭露其电力使用效率（PUE）、碳使用效率（CUE）和水使用效率（WUE），这使得资料中心基础设施管理（DCIM）从可选的最佳化软体转变为强制性的合规基础。已实施即时DCIM的营运商报告称，透过动态容量预测，节能高达18%，证明了监管投资的实际回报。跨国公司目前正在所有设施中采用相同的DCIM架构，以简化永续性报告流程并避免区域性审核。随着投资者要求统一的ESG资讯揭露，这项需求正在欧洲以外地区扩展。由于该指令也涵盖了约占欧盟电力消耗量3%的设施，因此效率的逐步提升将减轻全部区域电网的负担。

超大规模丛集扩展至超过 500MW 规模

像指南针 Data Centers在密西西比州投资100亿美元的园区级计划这样的大型投资项目，需要一个资料中心基础设施管理（DCIM）平台来协调模组化电源和冷却系统中的数千个机架。传统的楼宇管理系统无法在千兆瓦级规模下提供机架级遥测或故障预测警报。与预製电源模组（例如与西门子签订的多年供应协议中的模组）的集成，可以加强DCIM软体与电力基础设施之间的连接。随着资本密集度的增加，营运商优先考虑即时了解气流和容量，以降低营运成本。超过500兆瓦的规模意味着必须将DCIM置于计划可行性研究的核心位置。

持续OT-IT整合与传统BMS重迭的复杂性

传统楼宇管理系统通常依赖专有通讯协定，无法与现代资料中心基础设施管理 (DCIM) API 互通。因此，营运商被迫部署冗余的感测器和仪表板，导致资本支出和营运成本双双上升，却无法建立统一的资产帐簿。客製化中间件计划需要重新编码才能升级，这会将部署週期延长数月，并增加生命週期成本。在多供应商环境中，每个机械设备供应商都可能将其功能锁定在封闭式的工具链中，阻碍整体能源最佳化。

细分市场分析

预计业务收益将以22.99%的复合年增长率(CAGR)成长，因为58%的营运商表示难以招募合格的设施工程师。资产管理部署正从企划为基础的实施模式转向包含持续优化服务的订阅模式。託管服务也承担了人工智慧丛集液冷迴路调校的复杂性。儘管解决方案在2025年仍占资料中心基础设施管理市场的65.55%，但基本契约的兴起预示着以服务为中心的未来。企业倾向于透过外包感测器校准、韧体管理和合规性报告来控制人事费用。

随着边缘节点的扩展，对网路和连线管理能力的需求也随之成长。同时，电源和冷却管理在超大规模资料中心仍然至关重要，供应商正在提供加速器来整合传统的楼宇管理系统 (BMS)，从而为客户提供统一的管理介面。这种演变凸显了从一次性软体授权转向基于专业支援的经常性收入模式的策略转变。

预计超大型资料中心（150MW 以上的园区）将以 21.74% 的复合年增长率成长，取代主导传统云端运算浪潮的大型资料中心。由于 GPU 互连的优势远大于延迟带来的损失，营运商正在将 AI 训练丛集集中化。超大型园区实现了规模经济，允许多个机房共用液冷迴路，从而将冷却设备的 PUE 值降低到 1.1 以下。随着感测器数量达到数百万，编配复杂性不断增加，预计该领域的资料中心基础设施管理 (DCIM) 市场规模将迅速扩张。

向超大型园区的转型也将推动模组化电源撬装设备和预製机房单元的创新，这些设备将部署经过工厂测试的资料中心基础设施管理 (DCIM) 整合功能。小规模企业设施仍将继续承担对延迟敏感的工作负载，但预算限制将限制先进数位双胞胎模组的采用。

资料中心基础设施管理 (DCIM) 市场报告按资料中心规模（小规模、中型、其他）、部署类型（本地部署、託管）、元件（解决方案、服务）、最终用户产业（IT 和电信、银行、金融、保险 (BFSI)、其他）以及地区（北美、欧洲、其他）对产业进行分类。市场预测以美元计价。

区域分析

北美地区预计到2025年将占全球收入的41.92%，这主要得益于超大规模资料中心的建设和人工智慧培训中心的早期应用。当地业者正透过采用液冷数位双胞胎，并将机架密度提升至50kW及以上，增加资料中心基础设施管理（DCIM）方面的支出。联邦和州政府的节能奖励进一步强化了即时监控的商业价值。

预计到2031年，亚太地区的年复合成长率将达到34.12%，其中中国的目标是到2027年建成1,250亿美元的资料中心经济，而印度则在其「数位印度」计画的推动下加速发展。日本面临着全球最高的资料中心建置成本之一，这促使人们对自动化资料中心基础设施管理（DCIM）越来越感兴趣，以最大限度地提高每平方公尺的容量。新加坡和澳洲作为区域枢纽，提供跨境云端服务，这些服务必须满足各种不同的合规要求。

受能源效率指令的推动，欧洲市场持续稳定成长，营运商竞相将资料中心基础设施管理 (DCIM) 整合到现有设施维修和新建设中，以满足 2024 年 9 月的报告截止日期。随着区域云端服务供应商将基础设施在地化以降低延迟，中东和南美市场的需求也不断增长。非洲仍处于发展中，但行动互联网使用量的成长预计将推动轻量级 DCIM 的普及。

其他福利：

  • Excel格式的市场预测（ME）表
  • 3个月的分析师支持

目录

第一章 引言

  • 研究假设和市场定义
  • 调查范围

第二章调查方法

第三章执行摘要

第四章 市场情势

  • 市场概览
  • 市场驱动因素
    • 加速实现净零排放和强制揭露能源使用情况
    • 丛集规模超过 500MW 的超大规模扩展
    • 面向 5G/物联网的边缘和微型资料中心的激增
    • 人工智慧/机器学习驱动的热负荷需要即时CFD整合DCIM
    • 基于资料中心基础设施管理（DCIM）的风险遥测技术已成为网路保险保单的强制性要求。
    • 评估经DCIM检验的效率指标的ESG关联融资
  • 市场限制
    • 持续存在的OT-IT整合复杂性与传统BMS重迭问题
    • 关于云端託管资料中心基础设施管理平台的资料主权问题
    • 缺乏精通资料中心整合管理（DCIM）的设施工程师
    • AI机架密度提升速度超越了感测器网路维修
  • 价值/供应链分析
  • 监管环境
  • 技术展望
  • 波特五力分析
    • 供应商的议价能力
    • 消费者议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争对手之间的竞争
  • 对宏观经济趋势的市场评估
  • 定价分析

第五章 市场规模与成长预测

  • 按组件
    • 解决方案
      • 资产和容量管理
      • 电源和冷却管理
      • 网路和连线管理
    • 服务
      • 咨询和系统集成
      • 管理和支援服务
  • 按资料中心规模
    • 小规模
    • 中号
    • 大规模
    • 巨大的
    • 百万
  • 透过部署模式
    • 本地部署
    • 搭配
      • 零售
      • 批发/超大规模託管
    • 云端/资料中心基础设施管理即服务
  • 按最终用户行业划分
    • 资讯科技和电信
    • BFSI
    • 医疗保健和生命科学
    • 政府/国防
    • 製造业和工业
    • 零售与电子商务
  • 按地区
    • 北美洲
      • 我们
      • 加拿大
      • 墨西哥
    • 欧洲
      • 英国
      • 德国
      • 法国
      • 义大利
      • 西班牙
      • 其他欧洲地区
    • 亚太地区
      • 中国
      • 日本
      • 印度
      • 新加坡
      • 澳洲
      • 马来西亚
      • 亚太其他地区
    • 南美洲
      • 巴西
      • 智利
      • 阿根廷
      • 南美洲其他地区
    • 中东
      • 阿拉伯聯合大公国
      • 沙乌地阿拉伯
      • 土耳其
      • 其他中东地区
    • 非洲
      • 南非
      • 奈及利亚
      • 其他非洲地区

第六章 竞争情势

  • 市场集中度
  • 策略趋势
  • 市占率分析
  • 公司简介
    • Schneider Electric SE
    • Vertiv Group Corp.
    • ABB Ltd
    • Eaton Corporation plc
    • Johnson Controls International plc
    • IBM Corporation
    • Siemens AG
    • CommScope（Nlyte and iTRACS）
    • Sunbird Software
    • FNT GmbH
    • Device42
    • Panduit Corp.
    • Cisco Systems Inc.
    • Huawei Technologies Co. Ltd
    • Raritan Inc.（Legrand）
    • Siemens Smart Infrastructure
    • EkkoSense Ltd
    • RFcode Inc.
    • Modius Inc.
    • OpenDCIM（open-source）

第七章 市场机会与未来展望

简介目录
Product Code: 65314

The Data Center Infrastructure Management market was valued at USD 3.62 billion in 2025 and estimated to grow from USD 4.29 billion in 2026 to reach USD 9.99 billion by 2031, at a CAGR of 18.43% during the forecast period (2026-2031).

Data Center Infrastructure Management (DCIM) - Market - IMG1

Growth is propelled by AI-driven thermal loads, mandatory energy-use disclosure rules in the European Union, and a global wave of hyperscale projects that now top 500 MW per campus. Providers increasingly embed predictive analytics to meet cyber-insurance telemetry requirements and to convert regulatory compliance into measurable energy savings. Services linked to managed DCIM operations are accelerating fastest because data-center operators face persistent shortages of facility engineers. Competitive activity centres on integrated hardware-software portfolios that optimise cooling, power, and asset utilisation at rack level. Investors are tying financing costs to verifiable ESG metrics, turning DCIM-verified efficiency into a differentiator for new builds and retrofits.

Global Data Center Infrastructure Management (DCIM) Market Trends and Insights

Accelerated Pursuit of Net-Zero and Mandatory Energy-Use Disclosure

The EU Energy Efficiency Directive requires all data centers above 500 kW to disclose Power Usage Effectiveness, Carbon Usage Effectiveness, and Water Usage Effectiveness by September 2024, repositioning DCIM from optional optimisation software to mandatory compliance infrastructure. Operators that deployed real-time DCIM report 18% energy savings through dynamic capacity forecasting, demonstrating tangible returns on regulatory spending. Multinationals now standardise identical DCIM stacks in every facility to streamline sustainability reporting and to avoid region-specific audits. Demand is spreading beyond Europe because investors demand harmonised ESG disclosures. The directive also covers centres consuming nearly 3% of EU electricity, so incremental efficiency gains translate into region-wide grid relief.

Hyperscale Build-Outs Exceeding 500 MW Clusters

Campus-scale investments such as Compass Datacenters' USD 10 billion Mississippi project require DCIM platforms that coordinate thousands of racks across modular power and cooling skids. Traditional building-management systems cannot deliver rack-level telemetry or predictive failure alerts at gigawatt scale. Integration with prefabricated power modules, exemplified by Siemens' multi-year supply agreement, tightens the link between DCIM software and electrical infrastructure. Operators prioritise real-time visualisation of airflow and capacity to shave operating expenses as capital intensity rises. The shift to 500 MW-plus footprints thus anchors DCIM at the heart of project feasibility studies.

Persistent OT-IT Integration Complexity and Legacy BMS Overlap

Legacy building-management systems often rely on proprietary protocols that do not interoperate with modern DCIM APIs. Operators then duplicate sensors and dashboards, inflating both capex and opex while still lacking a unified asset inventory. Custom middleware projects add months to deployment schedules and raise lifecycle costs because upgrades must be recoded. In multi-vendor estates, each mechanical contractor may lock functionality inside closed toolchains, hampering holistic energy optimisation.

Other drivers and restraints analyzed in the detailed report include:

  1. Edge and Micro-Data-Center Proliferation for 5G/IoT
  2. AI/ML-Driven Thermal Loads Demanding Real-Time CFD-Coupled DCIM
  3. Data-Sovereignty Worries About Cloud-Hosted DCIM Platforms

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Services revenue is projected to climb at 22.99% CAGR because 58% of operators report difficulty hiring qualified facility engineers. Asset-management rollouts now shift from project-based implementations to subscription frameworks that bundle continuous optimisation. Managed services also absorb the complexity of tuning liquid-cooling loops that accompany AI clusters. Though Solutions held 65.55% of Data Center Infrastructure Management market share in 2025, the rise of outcome-based contracts points to a service-centric future. Enterprises prefer to cap labour overheads by outsourcing sensor calibration, firmware management, and compliance reporting.

Demand for Network and Connectivity Management functions also increases as edge nodes expand, while Power and Cooling Management stays critical for hyperscale sites. Vendors package integration accelerators that bridge legacy BMS so clients see a single pane of glass. The evolution underscores a strategic pivot from one-off software licences toward recurring revenue backed by expert support.

Mega facilities, defined as campuses above 150 MW, are expected to post a 21.74% CAGR, displacing Massive facilities that dominated earlier cloud waves. Operators centralise AI training clusters because GPU interconnect benefits outweigh latency penalties. Mega campuses unlock economies of scale, allowing liquid cooling loops to be shared across several halls and driving cooling plant efficiency below 1.1 PUE. The Data Center Infrastructure Management market size for this segment will expand rapidly as orchestration complexity multiplies with sensor counts running into millions.

The migration toward mega-scale campuses also seeds innovation in modular power skids and prefabricated hall segments that arrive with factory-tested DCIM integrations. Smaller enterprise facilities retain a role for latency-sensitive workloads, but budget constraints limit adoption of advanced digital-twin modules.

Data Center Infrastructure Management (DCIM) Market Report Segments the Industry Into Data Center Size(Small and Medium, and More), Deployment Type (On -Premise, Colocation), Component(solutions, Services), End-User Industry(IT and Telecom, BFSI and More) and Geography (North America, Europe, and More). The Market Forecasts are Provided in Terms of Value (USD).

Geography Analysis

North America accounted for 41.92% of 2025 revenue thanks to hyperscale builds and early adoption of AI training centres. Operators there deploy liquid cooling and digital twins to push rack densities past 50 kW, amplifying DCIM spending. Federal and state energy-efficiency incentives further reinforce the business case for real-time monitoring.

Asia-Pacific is forecast to grow at 34.12% CAGR through 2031 as China targets a USD 125 billion data-center economy by 2027 and India accelerates under the Digital India initiative. Japan faces the world's highest construction costs, driving interest in automated DCIM to extract maximum capacity from every square metre. Singapore and Australia act as regional hubs, supplying cross-border cloud services that must meet diverse compliance mandates.

Europe maintains steady expansion on the back of the Energy Efficiency Directive. Operators race to meet September 2024 reporting deadlines, integrating DCIM into both brownfield retrofits and new builds. Middle Eastern and South American markets show rising demand as regional cloud providers localise infrastructure to cut latency. Africa remains nascent but is expected to adopt lightweight DCIM as mobile-internet use increases.

  1. Schneider Electric SE
  2. Vertiv Group Corp.
  3. ABB Ltd
  4. Eaton Corporation plc
  5. Johnson Controls International plc
  6. IBM Corporation
  7. Siemens AG
  8. CommScope (Nlyte and iTRACS)
  9. Sunbird Software
  10. FNT GmbH
  11. Device42
  12. Panduit Corp.
  13. Cisco Systems Inc.
  14. Huawei Technologies Co. Ltd
  15. Raritan Inc. (Legrand)
  16. Siemens Smart Infrastructure
  17. EkkoSense Ltd
  18. RFcode Inc.
  19. Modius Inc.
  20. OpenDCIM (open-source)

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Accelerated pursuit of net-zero and mandatory energy-use disclosure
    • 4.2.2 Hyperscale build-outs exceeding 500 MW clusters
    • 4.2.3 Edge and micro-data-center proliferation for 5G/IoT
    • 4.2.4 AI/ML-driven thermal loads demanding real-time CFD-coupled DCIM
    • 4.2.5 Cyber-insurance policies now requiring DCIM-based risk telemetry
    • 4.2.6 ESG-linked financing that scores DCIM-verified efficiency metrics
  • 4.3 Market Restraints
    • 4.3.1 Persistent OT-IT integration complexity and legacy BMS overlap
    • 4.3.2 Data-sovereignty worries about cloud-hosted DCIM platforms
    • 4.3.3 Shortage of DCIM-literate facility engineers
    • 4.3.4 Rising AI rack densities outpacing sensor network retrofits
  • 4.4 Value / Supply-Chain Analysis
  • 4.5 Regulatory Landscape
  • 4.6 Technological Outlook
  • 4.7 Porter's Five Forces Analysis
    • 4.7.1 Bargaining Power of Suppliers
    • 4.7.2 Bargaining Power of Consumers
    • 4.7.3 Threat of New Entrants
    • 4.7.4 Threat of Substitutes
    • 4.7.5 Intensity of Competitive Rivalry
  • 4.8 Assessment of Macro Economic Trends on the Market
  • 4.9 Pricing Analysis

5 MARKET SIZE AND GROWTH FORECASTS (VALUES)

  • 5.1 By Component
    • 5.1.1 Solutions
      • 5.1.1.1 Asset and Capacity Management
      • 5.1.1.2 Power and Cooling Management
      • 5.1.1.3 Network and Connectivity Management
    • 5.1.2 Services
      • 5.1.2.1 Consulting and Integration
      • 5.1.2.2 Managed and Support Services
  • 5.2 By Data-Center Size
    • 5.2.1 Small
    • 5.2.2 Medium
    • 5.2.3 Large
    • 5.2.4 Massive
    • 5.2.5 Mega
  • 5.3 By Deployment Mode
    • 5.3.1 On-premise
    • 5.3.2 Colocation
      • 5.3.2.1 Retail Colo
      • 5.3.2.2 Wholesale / Hyperscale Colo
    • 5.3.3 Cloud / DCIM-as-a-Service
  • 5.4 By End-User Industry
    • 5.4.1 IT and Telecom
    • 5.4.2 BFSI
    • 5.4.3 Healthcare and Life-Sciences
    • 5.4.4 Government and Defence
    • 5.4.5 Manufacturing and Industrial
    • 5.4.6 Retail and E-commerce
  • 5.5 By Geography
    • 5.5.1 North America
      • 5.5.1.1 United States
      • 5.5.1.2 Canada
      • 5.5.1.3 Mexico
    • 5.5.2 Europe
      • 5.5.2.1 United Kingdom
      • 5.5.2.2 Germany
      • 5.5.2.3 France
      • 5.5.2.4 Italy
      • 5.5.2.5 Spain
      • 5.5.2.6 Rest of Europe
    • 5.5.3 Asia-Pacific
      • 5.5.3.1 China
      • 5.5.3.2 Japan
      • 5.5.3.3 India
      • 5.5.3.4 Singapore
      • 5.5.3.5 Australia
      • 5.5.3.6 Malaysia
      • 5.5.3.7 Rest of Asia-Pacific
    • 5.5.4 South America
      • 5.5.4.1 Brazil
      • 5.5.4.2 Chile
      • 5.5.4.3 Argentina
      • 5.5.4.4 Rest of South America
    • 5.5.5 Middle East
      • 5.5.5.1 United Arab Emirate
      • 5.5.5.2 Saudi Arabia
      • 5.5.5.3 Turkey
      • 5.5.5.4 Rest of Middle East
    • 5.5.6 Africa
      • 5.5.6.1 South Africa
      • 5.5.6.2 Nigeria
      • 5.5.6.3 Rest of Africa

6 COMPETITIVE LANDSCAPE

  • 6.1 Market Concentration
  • 6.2 Strategic Moves
  • 6.3 Market Share Analysis
  • 6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)
    • 6.4.1 Schneider Electric SE
    • 6.4.2 Vertiv Group Corp.
    • 6.4.3 ABB Ltd
    • 6.4.4 Eaton Corporation plc
    • 6.4.5 Johnson Controls International plc
    • 6.4.6 IBM Corporation
    • 6.4.7 Siemens AG
    • 6.4.8 CommScope (Nlyte and iTRACS)
    • 6.4.9 Sunbird Software
    • 6.4.10 FNT GmbH
    • 6.4.11 Device42
    • 6.4.12 Panduit Corp.
    • 6.4.13 Cisco Systems Inc.
    • 6.4.14 Huawei Technologies Co. Ltd
    • 6.4.15 Raritan Inc. (Legrand)
    • 6.4.16 Siemens Smart Infrastructure
    • 6.4.17 EkkoSense Ltd
    • 6.4.18 RFcode Inc.
    • 6.4.19 Modius Inc.
    • 6.4.20 OpenDCIM (open-source)

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

  • 7.1 White-Space and Unmet-Need Assessment