시장보고서
상품코드
1949347

데이터센터 인프라 관리 시장 규모, 점유율, 동향 및 성장 분석 보고서(2026-2034년)

Global Data Center Infrastructure Management Market Size, Share, Trends & Growth Analysis Report 2026-2034

발행일: | 리서치사: Value Market Research | 페이지 정보: 영문 217 Pages | 배송안내 : 1-2일 (영업일 기준)

    
    
    




※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

데이터센터 인프라 관리(DCIM) 시장 규모는 2025년 201억 8,000만 달러에서 2026년부터 2034년까지 CAGR 17.61%로 성장하여 2034년에는 868억 9,000만 달러에 달할 것으로 예측됩니다.

에너지 비용 상승과 효율성 향상에 대한 요구가 높아지면서 데이터센터 운영을 최적화하려는 조직들의 움직임이 가속화됨에 따라, 데이터센터 인프라 관리(DCIM) 시장은 크게 성장할 것으로 예상됩니다. 데이터센터가 복잡해짐에 따라 전력 사용량, 냉각 효율, 공간 활용도를 가시화할 수 있는 통합 관리 솔루션에 대한 수요가 증가하고 있습니다. DCIM 도구는 조직이 실시간으로 인프라를 모니터링하고 관리할 수 있도록 지원하며, 능동적인 의사결정을 촉진하여 상당한 비용 절감과 운영 성능 향상으로 이어집니다. 이러한 추세는 기업들이 IT 전략을 지속가능성 목표와 일치시키려고 노력하는 가운데 특히 중요성이 커지고 있습니다.

또한, 하이브리드 클라우드와 멀티 클라우드 환경의 확산으로 고도화된 DCIM 솔루션의 필요성이 높아지고 있습니다. 조직이 다양한 클라우드 전략을 채택함에 따라 여러 플랫폼에 걸친 리소스 관리의 복잡성이 증가합니다. DCIM 소프트웨어는 전체 인프라에 대한 중앙 집중식 가시성을 제공하여 IT 팀이 리소스 배분을 최적화하고 워크로드를 효율적으로 분산시킬 수 있도록 지원합니다. 다운타임이 심각한 재정적 영향을 미칠 수 있는 급변하는 디지털 환경에서 이 기능은 성능과 안정성을 유지하는 데 필수적입니다.

또한, 인공지능(AI)과 머신러닝을 DCIM 솔루션에 통합함으로써 조직의 데이터센터 관리 방식이 혁신적으로 변화하고 있습니다. 이러한 기술을 통해 잠재적인 문제가 발생하기 전에 예측 분석을 통해 예방적 유지보수 및 리소스 최적화를 실현할 수 있습니다. DCIM 시장이 계속 진화하는 가운데, 이러한 첨단 기술을 활용하는 조직은 업무 효율성 향상, 비용 절감, 전반적인 서비스 제공 개선에 있어 유리한 고지를 점할 수 있을 것입니다.

목차

제1장 소개

제2장 주요 요약

제3장 시장 변수, 동향, 프레임워크

제4장 세계의 데이터센터 인프라 관리 시장 : 구성요소별

제5장 세계의 데이터센터 인프라 관리 시장 : 기능성별

제6장 세계의 데이터센터 인프라 관리 시장 : 티어 기준별

제7장 세계의 데이터센터 인프라 관리 시장 : 데이터센터 규모별

제8장 세계의 데이터센터 인프라 관리 시장 : 전개 모델별

제9장 세계의 데이터센터 인프라 관리 시장 : 산업 분야별

제10장 세계의 데이터센터 인프라 관리 시장 : 지역별

제11장 경쟁 구도

제12장 기업 개요

KSM 26.03.24

The Data Center Infrastructure Management Market size is expected to reach USD 86.89 Billion in 2034 from USD 20.18 Billion (2025) growing at a CAGR of 17.61% during 2026-2034.

The data center infrastructure management (DCIM) market is set for substantial growth as organizations increasingly seek to optimize their data center operations amidst rising energy costs and the need for enhanced efficiency. As data centers become more complex, the demand for integrated management solutions that provide visibility into power usage, cooling efficiency, and space utilization is intensifying. DCIM tools enable organizations to monitor and manage their infrastructure in real-time, facilitating proactive decision-making that can lead to significant cost savings and improved operational performance. This trend is particularly relevant as businesses strive to align their IT strategies with sustainability goals.

Furthermore, the rise of hybrid and multi-cloud environments is driving the need for advanced DCIM solutions. As organizations adopt diverse cloud strategies, the complexity of managing resources across multiple platforms increases. DCIM software provides a centralized view of the entire infrastructure, allowing IT teams to optimize resource allocation and ensure that workloads are distributed efficiently. This capability is essential for maintaining performance and reliability in a rapidly evolving digital landscape, where downtime can have significant financial implications.

In addition, the integration of artificial intelligence and machine learning into DCIM solutions is revolutionizing how organizations manage their data centers. These technologies enable predictive analytics that can forecast potential issues before they arise, allowing for proactive maintenance and resource optimization. As the DCIM market continues to evolve, organizations that leverage these advanced technologies will be better positioned to enhance their operational efficiency, reduce costs, and improve overall service delivery.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

MARKET SEGMENTATION

By Component

  • Solution
  • Service

By Functionality

  • Performance optimization
  • Configuration
  • Operation Monitoring
  • Reporting & Dashboards
  • Others

By Tier Standards

  • Tier 1
  • Tier 2
  • Tier 3
  • Tier 4

By Data Centre Size

  • Small Data Center
  • Medium Data Center
  • Large Data Center

By Deployment Model

  • On-Premises
  • Cloud

By Industry Vertical

  • Banking, Financial Services and Insurance
  • Government and Public Sector
  • Healthcare and Life Sciences
  • IT and ITeS
  • Manufacturing
  • Telecommunications
  • Education
  • Media & Entertainment
  • Retail & Ecommerce
  • Others

COMPANIES PROFILED

  • ABB Ltd, Emerson Electric Co, Commscope Inc, Eaton Corporation, Vertiv Group Corp, Schneider Electric SE, Johnson Controls International PLC, IBM Corporation, Huawei, Cisco Systems Inc

We can customise the report as per your requriements

TABLE OF CONTENTS

Chapter 1. PREFACE

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definition
  • 1.3. Information Procurement
    • 1.3.1 Information Analysis
    • 1.3.2 Market Formulation & Data Visualization
    • 1.3.3 Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

  • 2.1. Market Snapshot
  • 2.2. Segmental Outlook
  • 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

  • 3.1. Market Lineage Outlook
  • 3.2. Penetration & Growth Prospect Mapping
  • 3.3. Value Chain Analysis
  • 3.4. Regulatory Framework
    • 3.4.1 Standards & Compliance
    • 3.4.2 Regulatory Impact Analysis
  • 3.5. Market Dynamics
    • 3.5.1 Market Drivers
    • 3.5.2 Market Restraints
    • 3.5.3 Market Opportunities
    • 3.5.4 Market Challenges
  • 3.6. Porter's Five Forces Analysis
  • 3.7. PESTLE Analysis

Chapter 4. GLOBAL DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET: BY COMPONENT 2022-2034 (USD MN)

  • 4.1. Market Analysis, Insights and Forecast Component
  • 4.2. Solution Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.3. Service Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET: BY FUNCTIONALITY 2022-2034 (USD MN)

  • 5.1. Market Analysis, Insights and Forecast Functionality
  • 5.2. Performance optimization Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.3. Configuration Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.4. Operation Monitoring Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.5. Reporting & Dashboards Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.6. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET: BY TIER STANDARDS 2022-2034 (USD MN)

  • 6.1. Market Analysis, Insights and Forecast Tier Standards
  • 6.2. Tier 1 Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.3. Tier 2 Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.4. Tier 3 Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.5. Tier 4 Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET: BY DATA CENTRE SIZE 2022-2034 (USD MN)

  • 7.1. Market Analysis, Insights and Forecast Data Centre Size
  • 7.2. Small Data Center Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.3. Medium Data Center Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.4. Large Data Center Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET: BY DEPLOYMENT MODEL 2022-2034 (USD MN)

  • 8.1. Market Analysis, Insights and Forecast Deployment Model
  • 8.2. On-Premises Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.3. Cloud Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 9. GLOBAL DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET: BY INDUSTRY VERTICAL 2022-2034 (USD MN)

  • 9.1. Market Analysis, Insights and Forecast Industry Vertical
  • 9.2. Banking, Financial Services and Insurance Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 9.3. Government and Public Sector Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 9.4. Healthcare and Life Sciences Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 9.5. IT and ITeS Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 9.6. Manufacturing Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 9.7. Telecommunications Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 9.8. Education Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 9.9. Media & Entertainment Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 9.10. Retail & Ecommerce Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 9.11. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 10. GLOBAL DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET: BY REGION 2022-2034(USD MN)

  • 10.1. Regional Outlook
  • 10.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 10.2.1 By Component
    • 10.2.2 By Functionality
    • 10.2.3 By Tier Standards
    • 10.2.4 By Data Centre Size
    • 10.2.5 By Deployment Model
    • 10.2.6 By Industry Vertical
    • 10.2.7 United States
    • 10.2.8 Canada
    • 10.2.9 Mexico
  • 10.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 10.3.1 By Component
    • 10.3.2 By Functionality
    • 10.3.3 By Tier Standards
    • 10.3.4 By Data Centre Size
    • 10.3.5 By Deployment Model
    • 10.3.6 By Industry Vertical
    • 10.3.7 United Kingdom
    • 10.3.8 France
    • 10.3.9 Germany
    • 10.3.10 Italy
    • 10.3.11 Russia
    • 10.3.12 Rest Of Europe
  • 10.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 10.4.1 By Component
    • 10.4.2 By Functionality
    • 10.4.3 By Tier Standards
    • 10.4.4 By Data Centre Size
    • 10.4.5 By Deployment Model
    • 10.4.6 By Industry Vertical
    • 10.4.7 India
    • 10.4.8 Japan
    • 10.4.9 South Korea
    • 10.4.10 Australia
    • 10.4.11 South East Asia
    • 10.4.12 Rest Of Asia Pacific
  • 10.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 10.5.1 By Component
    • 10.5.2 By Functionality
    • 10.5.3 By Tier Standards
    • 10.5.4 By Data Centre Size
    • 10.5.5 By Deployment Model
    • 10.5.6 By Industry Vertical
    • 10.5.7 Brazil
    • 10.5.8 Argentina
    • 10.5.9 Peru
    • 10.5.10 Chile
    • 10.5.11 South East Asia
    • 10.5.12 Rest of Latin America
  • 10.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 10.6.1 By Component
    • 10.6.2 By Functionality
    • 10.6.3 By Tier Standards
    • 10.6.4 By Data Centre Size
    • 10.6.5 By Deployment Model
    • 10.6.6 By Industry Vertical
    • 10.6.7 Saudi Arabia
    • 10.6.8 UAE
    • 10.6.9 Israel
    • 10.6.10 South Africa
    • 10.6.11 Rest of the Middle East And Africa

Chapter 11. COMPETITIVE LANDSCAPE

  • 11.1. Recent Developments
  • 11.2. Company Categorization
  • 11.3. Supply Chain & Channel Partners (based on availability)
  • 11.4. Market Share & Positioning Analysis (based on availability)
  • 11.5. Vendor Landscape (based on availability)
  • 11.6. Strategy Mapping

Chapter 12. COMPANY PROFILES OF GLOBAL DATA CENTER INFRASTRUCTURE MANAGEMENT INDUSTRY

  • 12.1. Top Companies Market Share Analysis
  • 12.2. Company Profiles
    • 12.2.1 ABB Ltd
    • 12.2.2 Emerson Electric Co
    • 12.2.3 Commscope Inc
    • 12.2.4 Eaton Corporation
    • 12.2.5 Vertiv Group Corp
    • 12.2.6 Schneider Electric SE
    • 12.2.7 Johnson Controls International PLC
    • 12.2.8 IBM Corporation
    • 12.2.9 Huawei
    • 12.2.10 Cisco Systems Inc
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