데이터센터 인프라 관리 시장 : DCIM 소프트웨어, 기능별 - 세계 예측(-2031년)

The global data center infrastructure management (DCIM) market is projected to grow from USD 3.99 billion in 2026 to USD 8.42 billion by 2031, reflecting a 16.1% CAGR over the forecast period. The growing integration of artificial intelligence (AI), advanced analytics, and automation into DCIM platforms is transforming how operators monitor and manage data center infrastructure. AI-enabled capabilities support predictive maintenance, performance optimization, capacity planning, energy management, and real-time infrastructure monitoring, helping operators identify potential issues and improve resource utilization.

The growing deployment of AI and high-density workloads is further increasing the need to optimize power, cooling, space, and equipment performance. DCIM platforms are consequently evolving from conventional monitoring tools toward intelligent infrastructure management systems that can automate operational tasks, provide predictive insights, and support data-driven decision-making. This transition is expected to strengthen demand for DCIM solutions as data center operators seek to improve efficiency, reliability, scalability, and sustainability across increasingly complex infrastructure environments.

"By offering, services will grow at the highest CAGR during the forecast period."

Services are increasingly important in the DCIM market as organizations seek specialized support for deploying, integrating, and optimizing DCIM platforms across complex data center environments. DCIM services include design and consulting, integration and deployment, and support and maintenance, helping organizations align DCIM solutions with their infrastructure requirements. As data centers become more distributed and complex, organizations require expertise to integrate DCIM platforms with IT infrastructure, power management, cooling systems, building management systems, and other monitoring platforms. Integration and deployment services are particularly relevant as enterprises adopt multi-site and hybrid infrastructure environments, while support and maintenance services help maintain system availability and performance. The growing adoption of AI-enabled DCIM, cloud-based platforms, and advanced analytics is also creating demand for implementation and integration expertise. These factors are expected to drive service adoption as organizations focus on faster deployment, effective system integration, operational continuity, and maximizing the value of DCIM investments.

"By functionality, asset management will hold the largest share during the forecast period."

Asset management is expected to account for the largest share of the DCIM market during the forecast period. Data center operators increasingly require centralized visibility into IT and facility assets to manage increasingly complex and distributed infrastructure. Asset management functionality enables organizations to maintain detailed equipment records, track asset locations and status, monitor utilization, and support lifecycle management. It also provides greater visibility into available capacity and helps operators make informed decisions about equipment deployment, replacement, and resource allocation. The growing deployment of hyperscale, colocation, enterprise, and edge data centers is increasing the number and diversity of assets that must be monitored and managed. Integrating asset management with capacity planning, environmental monitoring, and performance analytics further improves infrastructure visibility. As operators seek to optimize existing resources, reduce underutilization, and improve infrastructure planning, demand for comprehensive asset management capabilities is expected to remain strong throughout the forecast period.

"North America is expected to hold the largest market share during the forecast period."

North America is expected to hold the largest share of the DCIM market during the forecast period, supported by its established data center ecosystem, continued investment in hyperscale and colocation facilities, and the growing deployment of AI and high-density computing infrastructure. The US, in particular, has a large installed base of enterprise, hyperscale, cloud, and colocation data centers that require centralized infrastructure monitoring and management. Rising power requirements, higher rack densities, and pressure to improve energy efficiency are driving operators to adopt DCIM platforms to monitor power, cooling, capacity, environmental conditions, and asset performance. The region also has a strong presence of leading DCIM providers and data center infrastructure companies, which supports technology adoption and platform integration. In addition, the modernization of existing facilities is creating demand for DCIM solutions that integrate with BMS, EPMS, IT infrastructure, and other operational systems. These factors are expected to sustain North America's leading position as data center operators prioritize operational visibility, infrastructure efficiency, and reliable facility management.

The breakup of the profiles of the primary participants is below:

• By Company: Tier I: 33%, Tier II: 25%, and Tier III: 42%
• By Designation: C-Level Executives: 31%, Director Level: 34%, and Others: 35%
• By Region: North America: 42%, Europe: 28%, Asia Pacific: 22%, Rest of World: 8%

Note: Others include sales managers, marketing managers, and product managers

Note: The Rest of the World consists of the Middle East & Africa and Latin America

Note: Tier 1 companies have revenues of more than USD 100 million; tier 2 companies' revenue ranges from USD 10 million to USD 100 million; and tier 3 companies' revenue is less than 10 million

Source: Secondary Literature, Expert Interviews, and MarketsandMarkets Analysis

Major companies offering data center infrastructure management software and services are Schneider Electric (France), Vertiv (US), Siemens (Germany), Nlyte Software (US), Huawei (China), Johnson Controls (Ireland), Eaton (Ireland), ABB (Switzerland), Sunbird Software (US), and FNT Software (Germany).

Research coverage

This study presents an in-depth analysis of the data center infrastructure management (DCIM) market, based on market trends, potential growth in 2021, and a forecast through 2026-2031. It also provides detailed market trends, a competitive landscape, market size, forecasts, and an analysis of key players in the data center infrastructure management market. The study analyzes the growth rate and penetration of data center infrastructure management across all major regions.

Reasons to buy this report

The report will aid market leaders and new entrants by providing the following: the closest approximations of revenue for the serverless computing market and its subsegments. This study will aid stakeholders in understanding the competitive landscape; it offers more insights to position their businesses better and plan suitable go-to-market strategies. It also helps stakeholders understand the market pulse and provides information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

• Analysis of critical drivers (Growing adoption of AI and high-density data centers, Growing demand for energy-efficient solutions, Increasing demand for remote and distributed data center management), restraints (High implementation costs of DCIM solutions, Complexity and cost of deploying DCIM across heterogeneous infrastructure), opportunities (Growing investments in data center technologies, Rising adoption of edge data centers), and challenges (Concerns over data privacy and security) influencing the growth of the data center infrastructure management market.
• Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the data center infrastructure management market
• Market Development: In-depth understanding of upcoming technologies, research & development efforts, and new product & service releases in the data center infrastructure management market
• Market Diversification: Comprehensive details on the latest products & services, unexplored regions, recent advancements, and investments in the data center infrastructure management market
• Competitive Assessment: In-depth assessment of market shares, growth strategies, and Schneider Electric (France), Vertiv (US), Siemens (Germany), Nlyte Software (US), Huawei (China), Johnson Controls (Ireland), Eaton (Ireland), ABB (Switzerland), Sunbird Software (US), and FNT Software (Germany), among others, in the data center infrastructure management market.

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 STUDY OBJECTIVES
• 1.2 MARKET DEFINITION
  • 1.2.1 INCLUSIONS AND EXCLUSIONS
• 1.3 MARKET SCOPE
  • 1.3.1 MARKET SEGMENTATION AND REGIONS COVERED
  • 1.3.2 YEARS CONSIDERED
• 1.4 CURRENCY CONSIDERED
• 1.5 STAKEHOLDERS
• 1.6 SUMMARY OF CHANGES

2 EXECUTIVE SUMMARY

• 2.1 KEY MARKET PARTICIPANTS: MAPPING OF STRATEGIC DEVELOPMENTS
• 2.2 DISRUPTIVE TRENDS IN SOFTWARE-DEFINED DATA CENTER MARKET
• 2.3 HIGH GROWTH SEGMENTS
• 2.4 REGIONAL SNAPSHOT: MARKET SIZE, GROWTH RATE, AND FORECAST

3 PREMIUM INSIGHTS

• 3.1 ATTRACTIVE GROWTH OPPORTUNITIES FOR PLAYERS IN DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET
• 3.2 DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET, BY OFFERING
• 3.3 DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET, BY FUNCTIONALITY
• 3.4 DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET, BY DEPLOYMENT MODE
• 3.5 DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET, BY TIER TYPE
• 3.6 DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET, BY DATA CENTER SIZE
• 3.7 DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET, BY END USER
• 3.8 DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET, BY REGION

4 MARKET OVERVIEW AND INDUSTRY TRENDS

• 4.1 INTRODUCTION
• 4.2 MARKET DYNAMICS
  • 4.2.1 DRIVERS
    • 4.2.1.1 Growing adoption of AI and high-density data centers
    • 4.2.1.2 Growing demand for energy-efficient solutions
    • 4.2.1.3 Increasing demand for remote and distributed data center management
  • 4.2.2 RESTRAINTS
    • 4.2.2.1 High implementation costs of DCIM solutions
    • 4.2.2.2 Complexity and cost of deploying DCIM across heterogeneous infrastructure
  • 4.2.3 OPPORTUNITIES
    • 4.2.3.1 Growing investments in data center technologies
    • 4.2.3.2 Rising adoption of edge data centers
  • 4.2.4 CHALLENGES
    • 4.2.4.1 Concerns over data privacy and security
    • 4.2.4.2 Lack of skilled professionals
    • 4.2.4.3 Integration with legacy systems
• 4.3 UNMET NEEDS AND WHITE SPACES
  • 4.3.1 UNMET NEEDS IN THE SOFTWARE-DEFINED DATA CENTER MARKET
  • 4.3.2 WHITE SPACE OPPORTUNITIES
  • 4.3.3 INTERCONNECTED MARKETS
  • 4.3.4 CROSS-SECTOR OPPORTUNITIES
• 4.4 STRATEGIC MOVES BY TIER-1/2/3 PLAYERS
  • 4.4.1 KEY MOVES AND STRATEGIC FOCUS
• 4.5 PORTER'S FIVE FORCES ANALYSIS
  • 4.5.1 THREAT OF NEW ENTRANTS
  • 4.5.2 THREAT OF SUBSTITUTES
  • 4.5.3 BARGAINING POWER OF BUYERS
  • 4.5.4 BARGAINING POWER OF SUPPLIERS
  • 4.5.5 INTENSITY OF COMPETITIVE RIVALRY
• 4.6 MACROECONOMIC INDICATORS
  • 4.6.1 INTRODUCTION
  • 4.6.2 GDP TRENDS & FORECASTS
  • 4.6.3 TRENDS IN GLOBAL DATA CENTER SOLUTIONS INDUSTRY
  • 4.6.4 TRENDS IN GLOBAL CLOUD COMPUTING INDUSTRY
• 4.7 SUPPLY CHAIN ANALYSIS
• 4.8 ECOSYSTEM
• 4.9 PRICING ANALYSIS
  • 4.9.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY SOFTWARE
  • 4.9.2 AVERAGE SELLING PRICE TREND, BY REGION
• 4.10 KEY CONFERENCES AND EVENTS, 2026-2027
• 4.11 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
• 4.12 INVESTMENT AND FUNDING SCENARIO
• 4.13 CASE STUDY ANALYSIS
  • 4.13.1 CORMANT TRANSFORMED COLOCATION DATA CENTER OPERATIONS FOR EFFICIENCY AND TRANSPARENCY
  • 4.13.2 RARITAN ENHANCED POWER AND COOLING MANAGEMENT AT F5 NETWORKS PRODUCT DEVELOPMENT LAB
  • 4.13.3 RIT TECH'S XPEDITE TRANSFORMED BEIJING SUBWAY'S FIBER NETWORK MANAGEMENT
  • 4.13.4 MORO HUB ADOPTED NETECO600 FOR UNIFIED MANAGEMENT OF DISTRIBUTED DATA CENTERS
  • 4.13.5 ALL IT ROOMS ENSURED 100% SYSTEM STABILITY WITH PAESSLER PRTG NETWORK MONITOR
  • 4.13.6 LEADING EDGE DATA CENTRES REVOLUTIONIZED CONNECTIVITY IN AUSTRALIAN REGION WITH SCHNEIDER ELECTRIC
  • 4.13.7 COMPUTACENTER EFFECTIVELY MANAGED DATA CENTER WITH NLYTE
  • 4.13.8 SUNBIRD DCIM DRIVES EFFICIENCY AND SUSTAINABILITY FOR VODAFONE
  • 4.13.9 VERTIV TRANSFORMING BANKING INFRASTRUCTURE FOR CONTINUOUS AVAILABILITY
  • 4.13.10 ENHANCING DATAVITA'S COLOCATION SERVICES WITH FNT'S DCIM SOLUTIONS
• 4.14 IMPACT OF 2025 US TARIFF - DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET
  • 4.14.1 INTRODUCTION
  • 4.14.2 KEY TARIFF RATES
  • 4.14.3 PRICE IMPACT ANALYSIS
  • 4.14.4 IMPACT ON COUNTRIES/REGIONS
    • 4.14.4.1 US
    • 4.14.4.2 Europe
    • 4.14.4.3 Asia Pacific
  • 4.14.5 IMPACT ON VERTICALS
    • 4.14.5.1 BFSI
    • 4.14.5.2 Cloud services providers & hyperscalers
    • 4.14.5.3 Manufacturing
    • 4.14.5.4 Government & public sector
• 4.15 TECHNOLOGY ANALYSIS
  • 4.15.1 KEY TECHNOLOGIES
    • 4.15.1.1 AI and ML
    • 4.15.1.2 Internet of Things (IoT)
    • 4.15.1.3 Big data and analytics
    • 4.15.1.4 Cloud computing
  • 4.15.2 COMPLEMENTARY TECHNOLOGIES
    • 4.15.2.1 Building management systems
    • 4.15.2.2 Security information and event management (SIEM) systems
    • 4.15.2.3 Network management systems
    • 4.15.2.4 Uninterruptible power supply (UPS) monitoring systems
  • 4.15.3 ADJACENT TECHNOLOGIES
    • 4.15.3.1 Edge computing
    • 4.15.3.2 Robotic process automation
    • 4.15.3.3 Hyper-converged infrastructure
    • 4.15.3.4 Container orchestration platform
• 4.16 TECHNOLOGY/PRODUCT ROADMAP
  • 4.16.1 SHORT-TERM (2026-2028) | MONITORING, INTEGRATION & AUTOMATION
  • 4.16.2 MID-TERM (2028-2031) | AI-ENABLED ANALYTICS & INFRASTRUCTURE OPTIMIZATION
  • 4.16.3 LONG-TERM (2031-2036+) | AUTONOMOUS, AI-DRIVEN & SELF-OPTIMIZING INFRASTRUCTURE
• 4.17 PATENT ANALYSIS
• 4.18 FUTURE APPLICATIONS
  • 4.18.1 AI-DRIVEN PREDICTIVE INFRASTRUCTURE MANAGEMENT
  • 4.18.2 AUTONOMOUS CAPACITY PLANNING & RESOURCE OPTIMIZATION
  • 4.18.3 INTELLIGENT ENERGY & COOLING OPTIMIZATION
  • 4.18.4 AI-ENABLED ASSET MONITORING & ANOMALY DETECTION
  • 4.18.5 AUTOMATED INCIDENT MANAGEMENT & INFRASTRUCTURE OPERATIONS
• 4.19 IMPACT OF AI/GENERATIVE AI ON THE DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET
  • 4.19.1 TOP USE CASES AND MARKET POTENTIAL
  • 4.19.2 BEST PRACTICES IN DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET
  • 4.19.3 CASE STUDY OF AI IMPLEMENTATION IN DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET
    • 4.19.3.1 Telstra transforms data center management with Nlyte's AI-powered DCIM solution
  • 4.19.4 INTERCONNECTED ADJACENCT ECOSYSTEM AND IMPACT ON MARKET PLAYERS
  • 4.19.5 CLIENT READINESS TO ADOPT GENERATIVE AI IN THE DATA CENTER INFRASTRUCTURE MANAGEMENT
• 4.20 REGULATORY LANDSCAPE
  • 4.20.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 4.20.2 REGULATIONS, BY COUNTRY/REGION
• 4.21 DECISION-MAKING PROCESS
• 4.22 KEY STAKEHOLDERS AND BUYING CRITERIA
  • 4.22.1 KEY STAKEHOLDERS IN BUYING PROCESS
  • 4.22.2 BUYING CRITERIA
• 4.23 ADOPTION BARRIERS AND INTERNAL CHALLENGES
• 4.24 UNMET NEEDS IN VARIOUS END-USER INDUSTRIES
• 4.25 MARKET PROFITABILITY
  • 4.25.1 REVENUE POTENTIAL
  • 4.25.2 COST DYNAMICS
  • 4.25.3 MARGIN OPPORTUNITIES IN KEY APPLICATIONS
• 4.26 BUSINESS MODEL ANALYSIS
  • 4.26.1 PRODUCT OFFERINGS
  • 4.26.2 REVENUE STREAMS
  • 4.26.3 REVENUE MODEL TRENDS
  • 4.26.4 CHANNELS
  • 4.26.5 CUSTOMER SEGMENTS
• 4.27 DCIM SOURCES OF DATA GENERATION
  • 4.27.1 IT EQUIPMENT
  • 4.27.2 ELECTRICAL SYSTEMS
  • 4.27.3 COOLING EQUIPMENT
  • 4.27.4 ENVIRONMENTAL RESOURCES

5 DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET, BY OFFERING

• 5.1 INTRODUCTION
  • 5.1.1 OFFERING: DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET DRIVERS
• 5.2 DCIM SOFTWARE
  • 5.2.1 MONITORING
    • 5.2.1.1 Optimizing data center efficiency and uptime with advanced DCIM monitoring solutions for power, cooling, and infrastructure
  • 5.2.2 OPERATIONS & MANAGEMENT
    • 5.2.2.1 Enhancing data center efficiency with AI-driven DCIM software for real-time monitoring and predictive maintenance
• 5.3 SERVICES
  • 5.3.1 DESIGN & CONSULTING
    • 5.3.1.1 Optimizing data center operations through strategic design and consulting services for efficiency and scalability
  • 5.3.2 INTEGRATION & DEPLOYMENT
    • 5.3.2.1 Enhancing data center efficiency through advanced integration and deployment services
  • 5.3.3 SUPPORT & MAINTENANCE
    • 5.3.3.1 Essential support and maintenance services for optimizing data center infrastructure reliability and performance

6 DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET, BY FUNCTIONALITY

• 6.1 INTRODUCTION
  • 6.1.1 FUNCTIONALITY: DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET DRIVERS
• 6.2 PERFORMANCE OPTIMIZATION
  • 6.2.1 AI-DRIVEN PERFORMANCE OPTIMIZATION IN DCIM FOR ENERGY EFFICIENCY, COST REDUCTION, AND PREDICTIVE DIAGNOSTICS
  • 6.2.2 ENERGY OPTIMIZATION
  • 6.2.3 COST ANALYSIS
  • 6.2.4 PREDICTIVE DIAGNOSTICS
• 6.3 ASSET MANAGEMENT
  • 6.3.1 ENHANCING DATA CENTER EFFICIENCY WITH ADVANCED ASSET MANAGEMENT TO REDUCE RISKS AND OPTIMIZE OPERATIONS
  • 6.3.2 INVENTORY MANAGEMENT
  • 6.3.3 WORKFLOW & CHANGE MANAGEMENT
  • 6.3.4 LOCATION TRACKING
  • 6.3.5 POWER INFRASTRUCTURE MANAGEMENT
• 6.4 CONFIGURATION
  • 6.4.1 OPTIMIZING DATA CENTER EFFICIENCY THROUGH ADVANCED CONFIGURATION TO ENABLE CAPACITY, FLOOR SPACE, AND RACK & CABINET PLANNING
  • 6.4.2 CAPACITY PLANNING & RESOURCE UTILIZATION
  • 6.4.3 FLOOR SPACE PLANNING
  • 6.4.4 RACK & CABINET PLANNING
• 6.5 OPERATIONAL MONITORING
  • 6.5.1 MAXIMIZING DATA CENTER EFFICIENCY THROUGH COMPREHENSIVE OPERATIONAL MONITORING
  • 6.5.2 POWER MONITORING
  • 6.5.3 ENVIRONMENTAL MONITORING
  • 6.5.4 IT EQUIPMENT MONITORING
• 6.6 REPORTING & DASHBOARDS
  • 6.6.1 OPTIMIZING DATA CENTER OPERATIONS WITH ADVANCED REPORTING, DASHBOARDS, AND REAL-TIME ALERTS
  • 6.6.2 DATA VISUALIZATION & REPORTING
  • 6.6.3 PERFORMANCE DASHBOARDS
  • 6.6.4 ALERT & INCIDENT REPORTING
• 6.7 OTHER FUNCTIONALITIES

7 DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET, BY DEPLOYMENT MODE

• 7.1 INTRODUCTION
  • 7.1.1 DEPLOYMENT MODE: DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET DRIVERS
• 7.2 ON-PREMISES
  • 7.2.1 ON-PREMISE DCIM PROVIDES CONTROL, SECURITY, AND CUSTOMIZATION FOR REGULATED INDUSTRIES
• 7.3 CLOUD
  • 7.3.1 INCREASING NEED FOR SCALABLE, FLEXIBLE, AND COST-EFFICIENT SOLUTIONS TO MANAGE DATA CENTER INFRASTRUCTURE

8 DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET, BY TIER TYPE

• 8.1 INTRODUCTION
  • 8.1.1 TIER TYPE: DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET DRIVERS
• 8.2 TIER 1
  • 8.2.1 ASSESSING TIER 1 DATA CENTERS FOR COST, RELIABILITY, AND SCALABILITY LIMITATIONS
• 8.3 TIER 2
  • 8.3.1 NEED FOR ENHANCED INFRASTRUCTURE RELIABILITY AND REDUNDANCY TO DRIVE DEMAND
• 8.4 TIER 3
  • 8.4.1 NEED FOR HIGH RELIABILITY AND DUAL POWER AND COOLING PATHS TO DRIVE DEMAND
• 8.5 TIER 4
  • 8.5.1 REQUIREMENT FOR UNMATCHED RELIABILITY AND COMPLETE REDUNDANCY TO DRIVE DEMAND

9 DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET, BY DATA CENTER SIZE

• 9.1 INTRODUCTION
  • 9.1.1 DATA CENTER SIZE: DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET DRIVERS
• 9.2 SMALL DATA CENTERS
  • 9.2.1 SMALL DATA CENTERS ADOPT ENERGY-EFFICIENT, MODULAR DESIGNS TO ENHANCE PERFORMANCE AND SCALABILITY
• 9.3 MID-SIZED DATA CENTERS
  • 9.3.1 MID-SIZED DATA CENTERS ENHANCE EFFICIENCY WITH ENERGY-SAVING TECHNOLOGIES AND ADVANCED DCIM SOLUTIONS
• 9.4 LARGE DATA CENTERS
  • 9.4.1 LARGE DATA CENTERS OPTIMIZE EFFICIENCY AND SUSTAINABILITY WITH ADVANCED POWER SYSTEMS AND DCIM SOFTWARE

10 DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET, BY END USER

• 10.1 INTRODUCTION
  • 10.1.1 END USER: DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET DRIVERS
• 10.2 ENTERPRISES
  • 10.2.1 DCIM SOLUTIONS DRIVE ENTERPRISE EFFICIENCY WITH IMPROVED RESOURCE MANAGEMENT AND REDUCED OPERATIONAL COSTS
• 10.3 TELECOM SERVICE PROVIDERS
  • 10.3.1 DCIM SOLUTIONS ENHANCE TELECOM EFFICIENCY WITH IMPROVED ENERGY USE AND REDUCED DOWNTIME
• 10.4 CLOUD SERVICE PROVIDERS
  • 10.4.1 DCIM SOLUTIONS BOOST CLOUD SERVICE EFFICIENCY: FASTER LAUNCHES, COST REDUCTIONS, AND ENHANCED RELIABILITY

11 DATA CENTER INFRASTRUCTURE MARKET, BY REGION

• 11.1 INTRODUCTION
• 11.2 NORTH AMERICA
  • 11.2.1 NORTH AMERICA: DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET DRIVERS
  • 11.2.2 US
    • 11.2.2.1 Implementation of advanced technologies in established hubs and emerging rural regions to drive market
  • 11.2.3 CANADA
    • 11.2.3.1 Data center expansion drives growth amid regional energy and regulatory challenges
• 11.3 EUROPE
  • 11.3.1 EUROPE: DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET DRIVERS
  • 11.3.2 UK
    • 11.3.2.1 USD 1.31 billion data center investment drives hyperscale expansion amid energy and security challenges
  • 11.3.3 GERMANY
    • 11.3.3.1 Data center expansion accelerates with USD 10 billion investment and regulatory changes amid infrastructure challenges
  • 11.3.4 FRANCE
    • 11.3.4.1 Major investments in sustainability and technology to drive market
  • 11.3.5 ITALY
    • 11.3.5.1 Market growth fueled by major investments, regulatory challenges, and technological innovations
  • 11.3.6 REST OF EUROPE
• 11.4 ASIA PACIFIC
  • 11.4.1 ASIA PACIFIC: DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET DRIVERS
  • 11.4.2 CHINA
    • 11.4.2.1 Major government investments and sustainable innovations to drive market
  • 11.4.3 JAPAN
    • 11.4.3.1 Major cloud and AI investments to drive market
  • 11.4.4 INDIA
    • 11.4.4.1 Major investments and increasing digital need to boost market
  • 11.4.5 REST OF ASIA PACIFIC
• 11.5 MIDDLE EAST & AFRICA
  • 11.5.1 MIDDLE EAST & AFRICA: DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET DRIVERS
  • 11.5.2 GULF COOPERATION COUNCIL (GCC)
    • 11.5.2.1 Saudi Arabia
      • 11.5.2.1.1 Market growth driven by major investments and focus on energy efficiency
    • 11.5.2.2 UAE
      • 11.5.2.2.1 Strategic investments and government support to drive market
    • 11.5.2.3 Rest of GCC
  • 11.5.3 SOUTH AFRICA
    • 11.5.3.1 Major data center investments in Johannesburg and Cape Town to propel market growth
  • 11.5.4 REST OF MIDDLE EAST & AFRICA
• 11.6 LATIN AMERICA
  • 11.6.1 LATIN AMERICA: DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET DRIVERS
  • 11.6.2 BRAZIL
    • 11.6.2.1 Major investments and infrastructure enhancements to drive market
  • 11.6.3 MEXICO
    • 11.6.3.1 Major tech investments and sustainability focus to drive market
  • 11.6.4 REST OF LATIN AMERICA

12 COMPETITIVE LANDSCAPE

• 12.1 INTRODUCTION
• 12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
• 12.3 MARKET SHARE ANALYSIS
• 12.4 BRAND/PRODUCT COMPARISON
  • 12.4.1 SCHNEIDER ELECTRIC - ECOSTRUXURE IT
  • 12.4.2 VERTIV - ENVIRONET
  • 12.4.3 JOHNSON CONTROLS - METASYS DCIM MODULE
  • 12.4.4 EATON - BRIGHTLAYER DCIM
  • 12.4.5 SIEMENS- DESIGO CC / BUILDING X
• 12.5 REVENUE ANALYSIS
• 12.6 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
  • 12.6.1 STARS
  • 12.6.2 EMERGING LEADERS
  • 12.6.3 PERVASIVE PLAYERS
  • 12.6.4 PARTICIPANTS
  • 12.6.5 COMPANY FOOTPRINT: KEY PLAYERS, 2025
    • 12.6.5.1 Company footprint
    • 12.6.5.2 Offering footprint
    • 12.6.5.3 End user footprint
    • 12.6.5.4 Regional footprint
• 12.7 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2025
  • 12.7.1 PROGRESSIVE COMPANIES
  • 12.7.2 RESPONSIVE COMPANIES
  • 12.7.3 DYNAMIC COMPANIES
  • 12.7.4 STARTING BLOCKS
  • 12.7.5 COMPETITIVE BENCHMARKING: STARTUP/SMES, 2025
    • 12.7.5.1 Detailed list of key startups/SMEs
    • 12.7.5.2 Competitive benchmarking of startups/SMEs
• 12.8 COMPANY VALUATION AND FINANCIAL METRICS
• 12.9 COMPETITIVE SCENARIO AND TRENDS
  • 12.9.1 PRODUCT LAUNCHES/ENHANCEMENTS
  • 12.9.2 DEALS

13 COMPANY PROFILES

• 13.1 INTRODUCTION
• 13.2 MAJOR PLAYERS
  • 13.2.1 SCHNEIDER ELECTRIC
    • 13.2.1.1 Business overview
    • 13.2.1.2 Products/Solutions/Services offered
    • 13.2.1.3 Recent developments
      • 13.2.1.3.1 Product launches/Enhancements
      • 13.2.1.3.2 Deals
    • 13.2.1.4 MnM view
      • 13.2.1.4.1 Right to win
      • 13.2.1.4.2 Strategic choices
      • 13.2.1.4.3 Weaknesses and competitive threats
  • 13.2.2 VERTIV
    • 13.2.2.1 Business overview
    • 13.2.2.2 Products/Solutions/Services offered
    • 13.2.2.3 Recent developments
      • 13.2.2.3.1 Product launches/Enhancements
      • 13.2.2.3.2 Deals
    • 13.2.2.4 MnM view
      • 13.2.2.4.1 Right to win
      • 13.2.2.4.2 Strategic choices
      • 13.2.2.4.3 Weaknesses and competitive threats
  • 13.2.3 JOHNSON CONTROLS
    • 13.2.3.1 Business overview
    • 13.2.3.2 Products/Solutions/Services offered
    • 13.2.3.3 Recent developments
      • 13.2.3.3.1 Product launches/Enhancements
      • 13.2.3.3.2 Deals
    • 13.2.3.4 MnM view
      • 13.2.3.4.1 Right to win
      • 13.2.3.4.2 Strategic choices
      • 13.2.3.4.3 Weaknesses and competitive threats
  • 13.2.4 SIEMENS
    • 13.2.4.1 Business overview
    • 13.2.4.2 Products/Solutions/Services offered
    • 13.2.4.3 Recent developments
      • 13.2.4.3.1 Product launches/Enhancements
      • 13.2.4.3.2 Deals
    • 13.2.4.4 MnM view
      • 13.2.4.4.1 Right to win
      • 13.2.4.4.2 Strategic choices
      • 13.2.4.4.3 Weaknesses and competitive threats
  • 13.2.5 EATON
    • 13.2.5.1 Business overview
    • 13.2.5.2 Products/Solutions/Services offered
    • 13.2.5.3 Recent developments
      • 13.2.5.3.1 Product launches/Enhancements
      • 13.2.5.3.2 Deals
    • 13.2.5.4 MNM View
      • 13.2.5.4.1 Right to win
      • 13.2.5.4.2 Strategic choices
      • 13.2.5.4.3 Weaknesses and competitive threats
  • 13.2.6 HUAWEI
    • 13.2.6.1 Business overview
    • 13.2.6.2 Products/Solutions/Services offered
    • 13.2.6.3 Recent developments
      • 13.2.6.3.1 Product launches/Enhancements
  • 13.2.7 ABB
    • 13.2.7.1 Business overview
    • 13.2.7.2 Products/Solutions/Services offered
    • 13.2.7.3 Recent developments
      • 13.2.7.3.1 Deals
  • 13.2.8 FNT SOFTWARE
    • 13.2.8.1 Business overview
    • 13.2.8.2 Products/Solutions/Services offered
    • 13.2.8.3 Recent developments
      • 13.2.8.3.1 Product launches/Enhancements
      • 13.2.8.3.2 Deals
  • 13.2.9 NLYTE SOFTWARE
    • 13.2.9.1 Business overview
    • 13.2.9.2 Products/Solutions/Services offered
    • 13.2.9.3 Recent developments
      • 13.2.9.3.1 Product launches/Enhancements
      • 13.2.9.3.2 Deals
  • 13.2.10 SUNBIRD SOFTWARE
    • 13.2.10.1 Business overview
    • 13.2.10.2 Products/Solutions/Services offered
    • 13.2.10.3 Recent developments
      • 13.2.10.3.1 Product launches/Enhancements
      • 13.2.10.3.2 Deals
• 13.3 OTHER PLAYERS
  • 13.3.1 CORMANT
  • 13.3.2 RF CODE
  • 13.3.3 RACKWISE
  • 13.3.4 PAESSLER
  • 13.3.5 ITRACS
  • 13.3.6 STULZ
  • 13.3.7 DEVICE42
  • 13.3.8 HYPERVIEW
  • 13.3.9 RITTAL
  • 13.3.10 PATCH MANAGER
  • 13.3.11 MANAGEENGINE
  • 13.3.12 GREENFIELD SOFTWARE
  • 13.3.13 ISPSYSTEM
  • 13.3.14 DELTA ELECTRONICS
  • 13.3.15 ZPE SYSTEMS
  • 13.3.16 MODIUS
  • 13.3.17 NETZOOM
  • 13.3.18 EKKOSENSE
  • 13.3.19 CENTEROS
  • 13.3.20 TEECUBE SOLUTIONS
  • 13.3.21 UNITEDLAYER
  • 13.3.22 RIT TECH

14 RESEARCH METHODOLOGY

• 14.1 RESEARCH APPROACH
  • 14.1.1 SECONDARY DATA
  • 14.1.2 PRIMARY DATA
    • 14.1.2.1 Breakup of primary profiles
    • 14.1.2.2 Key industry insights
• 14.2 MARKET BREAKUP AND DATA TRIANGULATION
• 14.3 MARKET SIZE ESTIMATION
• 14.4 MARKET FORECAST
• 14.5 RESEARCH ASSUMPTIONS
• 14.6 RESEARCH LIMITATIONS

15 ADJACENT AND RELATED MARKETS

• 15.1 INTRODUCTION
  • 15.1.1 RELATED MARKETS
• 15.2 DATA CENTER SOLUTIONS MARKET
• 15.3 DATA CENTER TRANSFORMATION MARKET

16 APPENDIX

• 16.1 DISCUSSION GUIDE
• 16.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
• 16.3 CUSTOMIZATION OPTIONS
• 16.4 RELATED REPORTS
• 16.5 AUTHOR DETAILS