Data Center Infrastructure Management Market by DCIM Software (Monitoring, Operations & Management) and Functionality (Asset Management, Operational Monitoring, Performance Optimization, Configuration, Reporting & Dashboards) - Global Forecast to 2031

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USD 8.42 BN
MARKET SIZE, 2031
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CAGR 16.1%
(2026-2031)
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330
REPORT PAGES
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350
MARKET TABLES

OVERVIEW

data-center-infrastructure-management-market Overview

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

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. Growth is driven by rising data center complexity, AI and high-density workloads, higher power and cooling requirements, and the need for centralized infrastructure visibility. Organizations are increasingly adopting DCIM to monitor assets, capacity, power, cooling, environmental conditions, and infrastructure performance through integrated platforms. The expansion of hyperscale, colocation, enterprise, and edge data centers is further increasing demand for real-time monitoring, predictive analytics, automation, and energy optimization. A growing emphasis on operational efficiency and sustainability is also encouraging operators to adopt DCIM solutions that improve resource utilization, support predictive maintenance, and optimize infrastructure performance across distributed data center environments.

KEY TAKEAWAYS

  • BY REGION
    North America is expected to account for the largest market value of USD 1.4 billion in 2026.
  • BY OFFERING
    The services segment is expected to grow at the highest CAGR of 17.7% during the forecast period.
  • BY FUNCTIONALITY
    The asset management segment is expected to hold the largest market value of USD 1.2 billion in 2026.
  • BY DEPLOYMENT TYPE
    The cloud segment is expected to register the highest CAGR during the forecast period.
  • BY TIER TYPE
    Tier 4 is expected to dominate the market.
  • BY DATA CENTER SIZE
    The small data centers segment is expected grow at the highest CAGR.
  • BY END USER
    The enterprises segment is expected to lead with the largest market value.
  • COMPETITIVE LANDSCAPE - KEY PLAYERS
    Key players such as Schneider Electric, Vertiv, Johnson Controls, Eaton, and Delta Electronics stand out as Stars in the DCIM market due to their strong portfolios in power, cooling, automation, and real-time monitoring.
  • COMPETITIVE LANDSCAPE - STARTUPS
    SMEs and startups such as Cormant, RF Code, Rackwise, and Paessler act as agile innovators in the DCIM landscape, offering highly specialized and cost-effective solutions tailored for mid-sized and distributed data centers.

The DCIM market is growing steadily as data centers expand in size and complexity, increasing the need for centralized monitoring, capacity planning, and energy optimization. Rising investments in digital infrastructure, AI workloads, and sustainability initiatives are accelerating adoption, especially as operators seek real-time visibility and efficiency gains. This growth is further supported by modernization efforts in both hyperscale and enterprise facilities.

TRENDS & DISRUPTIONS IMPACTING CUSTOMERS' CUSTOMERS

Key trends and disruptions in the DCIM market include the growing integration of AI-driven analytics, predictive maintenance, automation, and performance optimization into infrastructure management platforms. The expansion of high-density AI workloads is increasing the need for real-time monitoring of power, cooling, capacity, and equipment performance. The growth of edge and distributed data centers is also creating demand for remote monitoring and centralized management across geographically dispersed facilities. Rising energy consumption and sustainability requirements are encouraging operators to adopt DCIM tools that support power monitoring, energy optimization, cooling management, and infrastructure efficiency. Meanwhile, cybersecurity and compliance requirements are increasing the need for secure integration between DCIM platforms and IT, BMS, and EPMS environments. The shift toward cloud-based and multi-site DCIM is further changing infrastructure management by enabling centralized visibility, remote operations, analytics, and scalable management across diverse data center environments.

data-center-infrastructure-management-market Disruptions

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

MARKET DYNAMICS

Drivers
Impact
Level
  • Growing adoption of AI and high-density data centers
  • Growing demand for energy-efficient solutions
RESTRAINTS
Impact
Level
  • High implementation costs of DCIM solutions
  • Complexity and cost of deploying DCIM across heterogeneous infrastructure
OPPORTUNITIES
Impact
Level
  • Growing investments in data center technologies
  • Rising adoption of edge data centers
CHALLENGES
Impact
Level
  • Concerns over data privacy and security
  • Lack of skilled professionals

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

Driver: Growing adoption of AI and high-density data centers

AI and accelerated computing are increasing power and thermal densities in data centers, driving demand for DCIM solutions that provide real-time visibility into power, cooling, capacity, and equipment performance. DCIM platforms are increasingly integrating power, cooling, and IT systems to support capacity planning and infrastructure optimization. In June 2025, Schneider Electric introduced EcoStruxure solutions for high-density AI clusters, and in March 2025, Vertiv launched Environet for real-time power and thermal infrastructure management. These developments highlight the shift toward integrated monitoring, analytics, and optimization for AI and hyperscale data center environments.

Restraint: High implementation costs of DCIM solutions

High implementation costs are expected to remain a key restraint on DCIM adoption, as organizations must invest in software licenses, environmental sensors, dedicated servers, and ongoing maintenance and training. These expenses can be challenging for small and medium-sized enterprises with limited budgets, often leading to delayed or scaled-back deployments. However, the long-term benefits—such as improved efficiency, accurate reporting, lower energy consumption, and reduced downtime—typically outweigh the initial investment. Avoiding DCIM can lead to higher operational risks and missed optimization opportunities. With proper planning and budgeting, organizations can justify the cost and achieve meaningful long-term performance gains.

Opportunity: Growing investments in data center technologies

Growing investments in data center infrastructure are creating strong opportunities for the DCIM market. With global investments exceeding USD 22 billion in the first five months of 2024, organizations are expanding capacity and upgrading facilities, increasing the need for advanced tools to manage complex environments and improve efficiency. As data centers scale to support high-performance, energy-intensive workloads, DCIM becomes essential for resource optimization and operational visibility. Sustainability initiatives further accelerate adoption, as DCIM solutions provide critical insights into energy usage and support carbon-reduction goals. Recent investments and strategic moves by major players such as Microsoft, CoreWeave, DataNovaX, and Cologix highlight the growing emphasis on modern, efficient, and well-managed data center operations.

Challenge: Concerns over data privacy and security

Managing data center infrastructure has become increasingly challenging amid growing concerns about data privacy and security. Modern data centers process large volumes of sensitive information, making them prime targets for cyberattacks and sophisticated intrusions. Operators must implement robust security measures, including encryption, firewalls, and intrusion detection systems, while continuously monitoring evolving threats. Regulations such as GDPR and CCPA further increase compliance obligations, with significant penalties for violations. The main challenge is balancing robust security with operational efficiency, as excessive controls can degrade performance or raise costs. As a result, data centers need a comprehensive management approach that ensures strong protection and smooth, compliant operations.

DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET: COMMERCIAL USE CASES ACROSS INDUSTRIES

COMPANY USE CASE DESCRIPTION BENEFITS
company logo
Leading Edge Data Centres (LEDC), aiming to bridge the “digital divide” in regional Australia, partnered with Schneider Electric to deploy a network of prefabricated Tier-III edge data centers. LEDC uses EcoStruxure IT and other Schneider Electric infrastructure to monitor and manage its geographically dispersed sites in real time. LEDC significantly enhanced service reliability and uptime for regional customers by leveraging remote monitoring and proactive analytics. The company also reduced deployment complexity and costs by using Schneider’s prefabricated data center modules, enabling faster and more scalable network roll-out.
company logo
Computacenter, a leading UK-based IT infrastructure services provider, used Nlyte’s DCIM suite to centralize visibility across its data centers (including newly acquired ones) and to model, predict, and optimize capacity. Computacenter achieved more accurate, usage-based billing and improved SLA alignment through real-time power and capacity visibility. Audit time was reduced from three weeks to under one week, improving data accuracy and compliance. The company also boosted operational efficiency by enabling proactive maintenance and optimizing space, power, and cooling across its facilities.
company logo
Vodafone deployed Sunbird’s DCIM solution to gain real-time insight into its global data centers, leveraging environmental sensors at different rack heights and unified dashboards. With this platform, Vodafone consolidated its asset inventory, capacity management, and power monitoring across all sites. Using temperature data from the racks, Vodafone identified overcooling and safely raised set-points, resulting in significant energy savings. Vodafone also improved operational agility by having a centralized, real-time view of rack capacity and device relationships, enabling faster deployment decisions.
company logo
FNT Software helped DataVita, a rapidly growing colocation and cloud provider, to document and manage its data center infrastructure using the FNT Command DCIM platform. The system captures all physical, logical, and network assets including cabling, power, cooling, and IT devices in a unified, dynamically updating repository. DataVita gained full visibility into its infrastructure, significantly improving capacity planning and resource utilization across its two buildings. The platform’s multi-tenancy features ensured data separation and compliance, reducing risk and supporting GDPR requirements. Meanwhile, integrated workflows and real-time asset tracking helped streamline operations, lower operating costs, and accelerate decision-making.

Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.

MARKET ECOSYSTEM

The DCIM ecosystem includes a mix of comprehensive platforms and specialized tools that address key functions such as asset tracking, power and cooling optimization, capacity planning, and environmental monitoring. All-in-one DCIM suites offer centralized oversight of data center operations, while focused solutions support specific needs like energy management and resource forecasting. These tools help enterprises, colocation providers, and edge facilities manage growing infrastructure complexity, improve efficiency, and maintain optimal performance. Understanding how these solutions complement each other is essential for selecting the right DCIM capabilities.

data-center-infrastructure-management-market Ecosystem

Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.

MARKET SEGMENTS

data-center-infrastructure-management-market Segments

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

Data Center Infrastructure Management Market, By Offering

DCIM software is expected to hold the largest market share over the forecast period, supported by the growing adoption of integrated platforms for monitoring and managing complex data center infrastructure. DCIM software provides centralized visibility into assets, capacity, power, cooling, environmental conditions, and infrastructure performance. The growing deployment of hyperscale, colocation, enterprise, and edge facilities is driving demand for scalable software that supports distributed environments. Services are expected to grow fastest, driven by rising demand for design and consulting, integration and deployment, and support and maintenance as organizations implement and optimize DCIM platforms across increasingly complex infrastructure.

Data Center Infrastructure Management Market, By Functionality

Asset management is expected to hold the largest market share during the forecast period, as operators require accurate visibility into IT and facility assets across increasingly complex data center environments. Asset management supports asset tracking, lifecycle management, utilization monitoring, and capacity planning, helping operators improve resource allocation and infrastructure visibility. Performance optimization is expected to grow fastest, driven by rising rack densities, AI workloads, and the need to optimize power, cooling, equipment performance, and infrastructure utilization. The integration of real-time analytics, automation, and predictive capabilities is further increasing demand for performance optimization functionality.

Data Center Infrastructure Management Market, By Deployment Type

Cloud-based DCIM is expected to post the highest CAGR over the forecast period as organizations increasingly seek scalable, flexible platforms to manage distributed data center infrastructure. Cloud deployment enables remote monitoring, centralized management, faster updates, and integration across geographically dispersed facilities. Its scalability also makes it well suited for organizations managing multiple enterprise, colocation, edge, and hybrid environments. The growing adoption of AI, cloud infrastructure, and distributed computing is expected to further drive demand for cloud-based DCIM platforms.

Data Center Infrastructure Management Market, By Tier Type

Tier 3 data centers are expected to achieve the highest CAGR over the forecast period, driven by rising demand for highly available, maintainable infrastructure across enterprise, colocation, cloud, and digital service environments. Tier 3 facilities require continuous visibility into power, cooling, IT equipment, and supporting infrastructure to ensure operational continuity. DCIM solutions enable operators to monitor infrastructure conditions, manage capacity, track assets, and identify potential issues via automated alerts and analytics. Modernization and expansion of Tier 3 facilities are expected to further drive DCIM adoption.

Data Center Infrastructure Management Market, By Data Center Size

Small data centers are expected to post the highest CAGR over the forecast period, driven by the expansion of edge computing, distributed IT infrastructure, localized digital services, and smaller enterprise and cloud facilities. These environments increasingly require remote monitoring and centralized infrastructure visibility, yet operate with limited on-site resources. DCIM solutions can support asset tracking, capacity planning, power and environmental monitoring, and remote infrastructure management. Cloud-based, scalable DCIM platforms are particularly relevant for smaller facilities seeking to improve operational efficiency without deploying complex management environments.

Data Center Infrastructure Management Market, By End User

Cloud service providers are expected to post the highest CAGR over the forecast period, supported by the continued expansion of cloud infrastructure, hyperscale facilities, AI workloads, and distributed computing. Their large, geographically dispersed data center environments require centralized monitoring, capacity planning, asset management, energy optimization, and infrastructure performance management. Rising rack densities and dynamic workloads are further strengthening the need for automated and predictive infrastructure management. DCIM platforms enable cloud service providers to improve infrastructure utilization, coordinate power and cooling resources, and maintain operational visibility across multiple facilities.

REGION

Asia Pacific is expected to register the fastest growth in the data center infrastructure management market during the forecast period

Asia Pacific is expected to lead the DCIM market's growth during the forecast period, supported by rapid data center capacity expansion, cloud adoption, digital transformation, and rising investment in AI infrastructure. Countries such as China, India, Japan, Singapore, Australia, and South Korea are expanding data center facilities to support cloud services, digital applications, enterprise workloads, and high-performance computing. The growth of hyperscale, colocation, and edge facilities is increasing demand for centralized monitoring, capacity planning, energy optimization, and infrastructure automation. Rising power consumption and sustainability requirements are also prompting operators to improve visibility into energy and cooling performance. At the same time, modernizing existing facilities is creating opportunities for DCIM providers to deploy cloud-based monitoring, predictive analytics, remote management, and integrated infrastructure management platforms. These factors are expected to drive strong DCIM adoption across the region.

data-center-infrastructure-management-market Region

DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET: COMPANY EVALUATION MATRIX

In the DCIM market, Schneider Electric is positioned as a Star, supported by its strong DCIM portfolio, broad data center infrastructure capabilities, and the established EcoStruxure IT platform. The company offers integrated capabilities spanning infrastructure monitoring, asset management, capacity planning, power and cooling management, analytics, and operational optimization. Rittal is positioned as an Emerging Leader, supported by its established data center infrastructure portfolio, modular data center solutions, cooling systems, and a growing focus on integrated monitoring and infrastructure management. Rittal's capabilities in physical infrastructure and thermal management strengthen its ability to address evolving data center requirements. The competitive positioning of these companies is influenced by product breadth, DCIM functionality, infrastructure integration, monitoring capabilities, automation, energy efficiency, and the ability to support increasingly complex data center environments.

data-center-infrastructure-management-market Evaluation Metrics

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

KEY MARKET PLAYERS

  • Schneider Electric (France)
  • Vertiv (US)
  • Eaton (US)
  • Johnson Controls (US)
  • Siemens (Germany)
  • Nlyte Software (US)
  • Huawei (China)
  • ABB (Switzerland)
  • Sunbird Software (US)
  • FNT Software (Germany)
  • Cormant (Philippines)
  • RF Code (US)
  • RACKWISE (US)
  • Paessler (Germany)
  • iTRACS (US)
  • STULZ (Germany)
  • Device42 (US)
  • Hyperview (Canada)
  • Rittal (Germany)
  • Patch Manager (Netherlands)
  • ManageEngine (US)
  • GreenField Software (India)
  • ISPsystem (Cyprus)
  • Delta Electronics (Taiwan)
  • ZPE Systems (US)
  • Modius (US)
  • NetZoom (US)
  • EkkoSense (UK)
  • CenterOS (New Zealand)
  • TeeCube Solutions (India)
  • UnitedLayer (US)
  • RiT Tech (Israel)

MARKET SCOPE

REPORT METRIC DETAILS
Market Size in 2025 (Value) USD 3.47 Billion
Market Size in 2026 (Value) USD 3.99 Billion
Market Forecast in 2031 (Value) USD 8.42 Billion
Growth Rate CAGR of 16.1% from 2026 to 2031
Years Considered 2021–2031
Base Year 2025
Forecast Period 2026–2031
Units Considered Value (USD Billion)
Report Coverage Revenue Forecast, Company Ranking, Competitive Landscape, Growth Factors, and Trends
Segments Covered
  • By Offering:
    • DCIM Software
    • Service
  • By DCIM Software:
    • Monitoring
    • Operations & Management
  • By Service:
    • Design & Consulting
    • Integration & Deployment
    • Support & Maintenance
  • By Functionality:
    • Performance Optimization
    • Asset Management
    • Configuration
    • Operational Monitoring
    • Reporting & Dashboards
    • Other Functionalities
  • By Deployment Type:
    • On-premises
    • Cloud
  • By Tier Type:
    • Tier 1
    • Tier 2
    • Tier 3
    • Tier 4
  • By Data Center Size:
    • Small Data Centers
    • Mid-sized Data Centers
    • Lage Data Centers
  • By End User:
    • Enterprises
    • Telecom Service Providers
    • Cloud Service Providers
Regional Scope North America, Asia Pacific, Europe, Middle East & Africa, Latin America

WHAT IS IN IT FOR YOU: DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET REPORT CONTENT GUIDE

data-center-infrastructure-management-market Content Guide

DELIVERED CUSTOMIZATIONS

We have successfully delivered the following deep-dive customizations:

CLIENT REQUEST CUSTOMIZATION DELIVERED VALUE ADDS
Leading Solution Provider (US) In-depth segmentation of the North American DCIM Market Extended regional breakdowns for: Europe Asia Pacific Middle East & Africa Latin America
  • Identifies high-growth opportunities across digital transformation, cloud adoption, and enterprise modernization
  • Enables tailored integration strategies aligning applications, infrastructure, and data systems
  • Supports optimized technology investments and resource alignment to enhance interoperability, scalability, and operational efficiency across connected business environments
Leading Solution Provider (EU) Detailed profiling of additional market players (up to 5 vendors), including product portfolios, strategic initiatives, and regional presence
  • Enhances competitive intelligence for strategic planning and go-to-market execution
  • Reveals market gaps and white spaces for differentiation and innovation
  • Supports targeted growth initiatives by aligning product development and sales strategies with unmet customer needs and emerging demand clusters

RECENT DEVELOPMENTS

  • August 2026 : Cisco expanded its Secure AI Factory with NVIDIA, leveraging rack-scale AI computing solutions developed with Supermicro. The architecture combines high-density compute, AI networking, and security, with an NVIDIA Cloud Partner-compliant design for neocloud, sovereign cloud, enterprise, and large-scale AI workloads, extending Cisco's SDDC-relevant capabilities across the full infrastructure stack.
  • August 2026 : Nutanix introduced an open-source Model Context Protocol server for the Nutanix Cloud Platform, enabling AI agents and developer tools to interact with the platform via its Prism API. The development brings natural-language and agentic automation to hybrid cloud operations while preserving enterprise visibility and control across infrastructure environments.
  • July 2026 : Microsoft partnered with 3M to deploy Expanded Beam Optical technology across Azure infrastructure, targeting the physical networking needs of rapidly expanding AI and cloud workloads. The collaboration is expected to improve optical connectivity within hyperscale infrastructure as Microsoft continues to expand its AI data center footprint.
  • June 2026 : Arista Networks launched its 7060XE7 portfolio of 1.6T networking platforms for rack-scale AI infrastructure. The platforms support scale-up and scale-out AI fabrics and are designed for high-density, power-efficient networking across air-, liquid-, and hybrid-cooled environments, addressing the rapidly increasing connectivity requirements of AI clusters.
  • June 2026 : HPE expanded its self-driving network strategy across data centers and AI factories by integrating its Juniper networking portfolio with AI data center solutions. New agentic AIOps, networking, and zero-trust capabilities are designed to simplify operations across increasingly distributed infrastructure and to strengthen automated management of AI-driven environments.

Table of Contents

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TITLE
PAGE NO
1
INTRODUCTION
 
 
 
15
2
EXECUTIVE SUMMARY
 
 
 
 
3
PREMIUM INSIGHTS
 
 
 
 
4
MARKET OVERVIEW AND INDUSTRY TRENDS
Outlines emerging trends, technology impact, and regulatory signals affecting growth trajectory and stakeholder decisions.
 
 
 
 
 
4.1
INTRODUCTION
 
 
 
 
4.2
MARKET DYNAMICS
 
 
 
 
 
4.2.1
DRIVERS
 
 
 
 
4.2.2
RESTRAINTS
 
 
 
 
4.2.3
OPPORTUNITIES
 
 
 
 
4.2.4
CHALLENGES
 
 
 
4.3
UNMET NEEDS AND WHITE SPACES
 
 
 
 
4.4
INTERCONNECTED MARKETS AND CROSS-SECTOR OPPORTUNITIES
 
 
 
 
4.5
STRATEGIC MOVES BY TIER-1/2/3 PLAYERS
 
 
 
5
INDUSTRY TRENDS
Covers the key developments, trend analysis, and actionable insights to support strategic planning and positioning.
 
 
 
 
 
5.1
PORTER'S FIVE FORCES ANALYSIS
 
 
 
 
5.2
MACROECONOMIC OUTLOOK
 
 
 
 
 
5.2.1
INTRODUCTION
 
 
 
 
5.2.2
GDP TRENDS AND FORECAST
 
 
 
 
5.2.3
TRENDS IN THE DATA CENTER INFRASTRUCTURE MANAGEMENT INDUSTRY
 
 
 
 
5.2.4
TRENDS IN THE SDDC SERVICES INDUSTRY
 
 
 
5.3
SUPPLY CHAIN ANALYSIS
 
 
 
 
 
5.4
ECOSYSTEM ANALYSIS
 
 
 
 
 
5.5
PRICING ANALYSIS
 
 
 
 
 
 
5.5.1
AVERAGE SELLING PRICE OF OFFERINGS, BY KEY PLAYERS, 2023–2025
 
 
 
 
5.5.2
AVERAGE SELLING PRICE TREND, BY REGION, 2023–2025
 
 
 
5.6
KEY CONFERENCES AND EVENTS, 2026–2027
 
 
 
 
5.7
TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
 
 
 
 
5.8
INVESTMENT AND FUNDING SCENARIO
 
 
 
 
5.9
CASE STUDY ANALYSIS
 
 
 
 
 
5.9.1
CASE STUDY
 
 
 
 
5.9.2
CASE STUDY
 
 
 
 
5.9.3
CASE STUDY
 
 
 
 
5.9.4
CASE STUDY
 
 
 
 
5.9.5
CASE STUDY
 
 
 
5.10
IMPACT OF 2025 US TARIFF – DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET
 
 
 
 
 
 
5.10.1
INTRODUCTION
 
 
 
 
5.10.2
KEY TARIFF RATES
 
 
 
 
5.10.3
PRICE IMPACT ANALYSIS
 
 
 
 
5.10.4
IMPACT ON REGION
 
 
 
 
 
5.10.4.1
EUROPE
 
 
 
 
5.10.4.2
ASIA PACIFIC
 
 
 
 
5.10.4.3
LATIN AMERICA
 
 
 
5.10.5
IMPACT ON END USERS
 
 
6
TECHNOLOGICAL ADVANCEMENTS, AI-DRIVEN IMPACT, PATENTS, INNOVATIONS, AND FUTURE APPLICATIONS
 
 
 
 
 
6.1
KEY EMERGING TECHNOLOGIES
 
 
 
 
6.2
COMPLEMENTARY TECHNOLOGIES
 
 
 
 
6.3
ADJACENT TECHNOLOGIES
 
 
 
 
6.4
TECHNOLOGY ROADMAP
 
 
 
 
6.5
PATENT ANALYSIS
 
 
 
 
 
6.6
FUTURE APPLICATIONS
 
 
 
 
6.7
IMPACT OF AI/GEN AI ON DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET
 
 
 
 
 
 
6.7.1
TOP USE CASES AND MARKET POTENTIAL
 
 
 
 
6.7.2
BEST PRACTICES FOLLOWED BY SERVICE PROVIDERS IN THE DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET
 
 
 
 
6.7.3
CASE STUDIES RELATED TO AI IMPLEMENTATION IN THE DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET
 
 
 
 
6.7.4
INTERCONNECTED ECOSYSTEM AND IMPACT ON MARKET PLAYERS
 
 
 
 
6.7.5
CLIENTS’ READINESS TO ADOPT AI-INTEGRATED DATA CENTER INFRASTRUCTURE MANAGEMENT SERVICES
 
 
7
REGULATORY LANDSCAPE
 
 
 
 
 
7.1
REGIONAL REGULATION & COMPLIANCE
 
 
 
 
 
7.1.1
REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
 
 
 
7.2
INDUSTRY STANDARDS
 
 
 
8
CUSTOMER LANDSCAPE & BUYER BEHAVIOR
 
 
 
 
 
8.1
INTRODUCTION
 
 
 
 
8.2
DECISION-MAKING PROCESS
 
 
 
 
8.3
KEY STAKEHOLDERS INVOLVED IN THE BUYING PROCESS AND THEIR EVALUATION CRITERIA
 
 
 
 
 
8.3.1
KEY STAKEHOLDERS IN THE BUYING PROCESS
 
 
 
 
8.3.2
BUYING CRITERIA
 
 
 
8.4
ADOPTION BARRIERS & INTERNAL CHALLENGES
 
 
 
 
 
8.4.1
UNMET NEEDS OF VARIOUS VERTICALS
 
 
9
DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET, BY OFFERING
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
9.1
INTRODUCTION
 
 
 
 
 
9.1.1
OFFERING: DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET DRIVERS
 
 
 
9.2
DCIM SOFTWARE
 
 
 
 
 
9.2.1
MONITORING
 
 
 
 
9.2.2
OPERATIONS & MANAGEMENT
 
 
 
9.3
SERVICES
 
 
 
 
 
9.3.1
DESIGN & CONSULTING
 
 
 
 
9.3.2
INTEGRATION & DEPLOYMENT
 
 
 
 
9.3.3
SUPPORT & MAINTENANCE
 
 
10
DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET, BY FUNCTIONALITY
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
10.1
INTRODUCTION
 
 
 
 
 
10.1.1
FUNCTIONALITY: DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET DRIVERS
 
 
 
10.2
PERFORMANCE OPTIMIZATION
 
 
 
 
 
10.2.1
ENERGY OPTIMIZATION
 
 
 
 
10.2.2
COST ANALYSIS
 
 
 
 
10.2.3
PREDICTIVE DIAGNOSTICS
 
 
 
10.3
ASSET MANAGEMENT
 
 
 
 
 
10.3.1
INVENTORY MANAGEMENT
 
 
 
 
10.3.2
WORKFLOW & CHANGE MANAGEMENT
 
 
 
 
10.3.3
LOCATION TRACKING
 
 
 
10.4
CONFIGURATION
 
 
 
 
 
10.4.1
CAPACITY PLANNING & RESOURCE UTILIZATION
 
 
 
 
10.4.2
FLOOR SPACE PLANNING
 
 
 
 
10.4.3
RACK & CABINET PLANNING
 
 
 
10.5
OPERATIONAL MONITORING
 
 
 
 
 
10.5.1
POWER MONITORING
 
 
 
 
10.5.2
ENVIRONMENTAL MONITORING
 
 
 
 
10.5.3
IT EQUIPMENT MONITORING
 
 
 
10.6
REPORTING & DASHBOARDS
 
 
 
 
 
10.6.1
DATA VISUALIZATION & REPORTING
 
 
 
 
10.6.2
PERFORMANCE DASHBOARDS
 
 
 
 
10.6.3
ALERT AND INCIDENT REPORTING
 
 
 
10.7
OTHER FUNCTIONALITIES (INTEGRATION CAPABILITIES, SECURITY MANAGEMENT, AUTOMATION & ORCHESTRATION)
 
 
 
11
DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET, BY DEPLOYMENT MODE
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
11.1
INTRODUCTION
 
 
 
 
 
11.1.1
DEPLOYMENT MODE: DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET DRIVERS
 
 
 
11.2
ON-PREMISES
 
 
 
 
11.3
CLOUD
 
 
 
12
DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET, BY TIER TYPE
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
12.1
INTRODUCTION
 
 
 
 
 
12.1.1
TIER TYPE: DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET DRIVERS
 
 
 
12.2
TIER
 
 
 
 
12.3
TIER
 
 
 
 
12.4
TIER
 
 
 
 
12.5
TIER
 
 
 
13
DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET, BY DATA CENTER SIZE
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
13.1
INTRODUCTION
 
 
 
 
 
13.1.1
DATA CENTER SIZE: DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET DRIVERS
 
 
 
13.2
SMALL DATA CENTERS
 
 
 
 
13.3
MID-SIZED DATA CENTERS
 
 
 
 
13.4
LARGE DATA CENTERS
 
 
 
14
DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET, BY END USER
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
14.1
INTRODUCTION
 
 
 
 
 
14.1.1
END USER: DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET DRIVERS
 
 
 
14.2
ENTERPRISES
 
 
 
 
14.3
TELECOM SERVICE PROVIDERS
 
 
 
 
14.4
CLOUD SERVICE PROVIDERS
 
 
 
15
DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET, BY REGION
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
15.1
INTRODUCTION
 
 
 
 
15.2
NORTH AMERICA
 
 
 
 
 
15.2.1
NORTH AMERICA: MARKET DRIVERS
 
 
 
 
15.2.2
MACROECONOMIC OUTLOOK FOR NORTH AMERICA
 
 
 
 
15.2.3
US
 
 
 
 
15.2.4
CANADA
 
 
 
15.3
EUROPE
 
 
 
 
 
15.3.1
EUROPE: MARKET DRIVERS
 
 
 
 
15.3.2
MACROECONOMIC OUTLOOK FOR EUROPE
 
 
 
 
15.3.3
UK
 
 
 
 
15.3.4
GERMANY
 
 
 
 
15.3.5
FRANCE
 
 
 
 
15.3.6
ITALY
 
 
 
 
15.3.7
REST OF EUROPE
 
 
 
15.4
ASIA PACIFIC
 
 
 
 
 
15.4.1
ASIA PACIFIC: MARKET DRIVERS
 
 
 
 
15.4.2
MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
 
 
 
 
15.4.3
CHINA
 
 
 
 
15.4.4
JAPAN
 
 
 
 
15.4.5
INDIA
 
 
 
 
15.4.6
REST OF ASIA PACIFIC
 
 
 
15.5
MIDDLE EAST & AFRICA
 
 
 
 
 
15.5.1
MIDDLE EAST & AFRICA: MARKET DRIVERS
 
 
 
 
15.5.2
MACROECONOMIC OUTLOOK FOR MIDDLE EAST & AFRICA
 
 
 
 
15.5.3
GCC
 
 
 
 
 
15.5.3.1
SAUDI ARABIA
 
 
 
 
15.5.3.2
UAE
 
 
 
 
15.5.3.3
REST OF GCC
 
 
 
15.5.4
SOUTH AFRICA
 
 
 
 
15.5.5
REST OF MIDDLE EAST & AFRICA
 
 
 
15.6
LATIN AMERICA
 
 
 
 
 
15.6.1
LATIN AMERICA: MARKET DRIVERS
 
 
 
 
15.6.2
MACROECONOMIC OUTLOOK FOR LATIN AMERICA
 
 
 
 
15.6.3
BRAZIL
 
 
 
 
15.6.4
REST OF LATIN AMERICA
 
 
16
COMPETITIVE LANDSCAPE
 
 
 
 
 
16.1
INTRODUCTION
 
 
 
 
16.2
KEY PLAYER STRATEGIES/RIGHT TO WIN
 
 
 
 
16.3
REVENUE ANALYSIS
 
 
 
 
 
16.4
COMPANY VALUATION AND FINANCIAL METRICS
 
 
 
 
16.5
MARKET SHARE ANALYSIS
 
 
 
 
 
16.6
BRAND/PRODUCT COMPARISON
 
 
 
 
 
16.7
COMPANY EVALUATION MATRIX: KEY PLAYERS,
 
 
 
 
 
 
16.7.1
STARS
 
 
 
 
16.7.2
EMERGING LEADERS
 
 
 
 
16.7.3
PERVASIVE PLAYERS
 
 
 
 
16.7.4
PARTICIPANTS
 
 
 
 
16.7.5
COMPANY FOOTPRINT: KEY PLAYERS,
 
 
 
 
 
16.7.5.1
COMPANY FOOTPRINT
 
 
 
 
16.7.5.2
REGION FOOTPRINT
 
 
 
 
16.7.5.3
OFFERING FOOTPRINT
 
 
 
 
16.7.5.4
FUNCTIONALITY FOOTPRINT
 
 
 
 
16.7.5.5
DEPLOYMENT MODE FOOTPRINT
 
 
 
 
16.7.5.6
DATA CENTER SIZE FOOTPRINT
 
 
 
 
16.7.5.7
END USER FOOTPRINT
 
 
16.8
COMPANY EVALUATION MATRIX: STARTUPS/SMES,
 
 
 
 
 
 
16.8.1
PROGRESSIVE COMPANIES
 
 
 
 
16.8.2
RESPONSIVE COMPANIES
 
 
 
 
16.8.3
DYNAMIC COMPANIES
 
 
 
 
16.8.4
STARTING BLOCKS
 
 
 
 
16.8.5
COMPETITIVE BENCHMARKING: STARTUPS/SMES,
 
 
 
 
 
16.8.5.1
DETAILED LIST OF KEY STARTUPS/SMES
 
 
 
 
16.8.5.2
COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
 
 
16.9
KEY MARKET DEVELOPMENTS
 
 
 
 
 
16.9.1
NEW PRODUCT LAUNCHES/ENHANCEMENTS
 
 
 
 
16.9.2
DEALS
 
 
 
 
16.9.3
OTHERS
 
 
17
COMPANY PROFILES
 
 
 
 
 
 
17.1.1
SCHNEIDER ELECTRIC
 
 
 
 
17.1.2
VERTIV
 
 
 
 
17.1.3
JOHNSON CONTROLS
 
 
 
 
17.1.4
EATON
 
 
 
 
17.1.5
DELTA ELECTRONICS
 
 
 
 
17.1.6
HUAWEI
 
 
 
 
17.1.7
ABB
 
 
 
 
17.1.8
RITTAL
 
 
 
 
17.1.9
FNT SOFTWARE
 
 
 
 
17.1.10
NLYTE SOFTWARE
 
 
 
 
17.1.11
CORMANT
 
 
 
 
17.1.12
RACKWISE
 
 
 
 
17.1.13
PAESSLER
 
 
 
 
17.1.14
ITRACS
 
 
 
 
17.1.15
STULZ
 
 
 
 
17.1.16
SUNBIRD DCIM
 
 
 
 
17.1.17
UNITEDLAYER
 
 
 
 
17.1.18
RIT TECH
 
 
 
 
17.1.19
DEVICE42
 
 
 
 
17.1.20
HYPERVIEW
 
 
 
 
17.1.21
RARITAN
 
 
 
 
17.1.22
PATCH MANAGER
 
 
 
 
17.1.23
MANAGEENGINE
 
 
 
 
17.1.24
GREENFIELD SOFTWARE
 
 
 
 
17.1.25
ISPSYSTEM
 
 
 
 
17.1.26
GRAPHICAL NETWORKS
 
 
 
 
17.1.27
ZPE SYSTEMS
 
 
 
 
17.1.28
MODIUS
 
 
18
RESEARCH METHODOLOGY
 
 
 
 
 
18.1
RESEARCH APPROACH
 
 
 
 
 
18.1.1
SECONDARY DATA
 
 
 
 
18.1.2
PRIMARY DATA
 
 
 
 
 
18.1.2.1
BREAKUP OF PRIMARY PROFILES
 
 
 
 
18.1.2.2
KEY INDUSTRY INSIGHTS
 
 
18.2
MARKET BREAKUP & DATA TRIANGULATION
 
 
 
 
18.3
MARKET SIZE ESTIMATION
 
 
 
 
18.4
MARKET FORECAST
 
 
 
 
18.5
RESEARCH ASSUMPTIONS
 
 
 
 
18.6
LIMITATIONS OF THE STUDY
 
 
 
19
ADJACENT MARKETS
 
 
 
 
 
19.1
INTRODUCTION TO ADJACENT MARKETS
 
 
 
 
19.2
LIMITATIONS
 
 
 
 
19.3
DATA CENTER INFRASTRUCTURE MANAGEMENT MARKET ECOSYSTEM & ADJACENT MARKETS
 
 
 
 
 
19.4
ADJACENT MARKET
 
 
 
 
19.5
ADJACENT MARKET
 
 
 
20
APPENDIX
 
 
 
 
 
20.1
DISCUSSION GUIDE
 
 
 
 
20.2
KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
 
 
 
 
20.3
CUSTOMIZATION OPTIONS
 
 
 
 
20.4
RELATED REPORTS
 
 
 
 
20.5
AUTHOR DETAILS
 
 
 

 

Methodology

The study involved four major activities to estimate the data center infrastructure management market. We conducted secondary research to gather information on the market, competitors, and the parent market. The next stage was to validate these findings and assumptions and size them with industry professionals across the value chain through primary research. Top-down and bottom-up methodologies were used to determine the total market size. We used market breakup and data triangulation techniques to estimate the market size of the data center infrastructure management market segments.     

Secondary Research

Multiple sources were used to collect data for this research project during the secondary research phase. These included annual reports, press releases, investor presentations, white papers, journals, publications, and articles from reputable sources, as well as directories and databases. Information was also collected from additional secondary sources such as academic journals, official government sites, blogs, and vendor websites.

Primary Research

Primary sources included industry experts from the core and associated industries, preferred software suppliers, hardware manufacturers, distributors, service providers, technology developers, alliances, and organizations representing all parts of the industry's value chain. In-depth interviews were conducted with primary respondents, including major industry participants, subject-matter experts, C-level executives at key market companies, and industry consultants, to collect and verify critical qualitative and quantitative data and to analyze the market's potential.

Primary interviews were conducted to gain insights such as market statistics, current disruptive industry trends, new use cases, revenue data from products and services, market breakdowns, size projections, predictions, and data triangulation. This research also helped to understand various technology trends, segmentation types, industry movements, and geographic factors. Demand-side stakeholders—including Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Security Officers (CSOs), installation teams of governments and end users utilizing data center infrastructure management solutions and services, as well as digital initiatives project teams—were interviewed to understand the buyer's perspective on suppliers, products, service providers, and current service usage, which influence the overall data center infrastructure management market.

Breakup of Primary Profiles:

Data Center Infrastructure Management Market Size, and Share

*Others include sales managers, marketing managers, and product managers
Note: Tier 1 – recorded overall annual revenues of more than USD 10 billion; Tier 2 company – USD 1–10 billion; and Tier 3 company – USD 500 million – 1 billion of the overall revenues

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

The data center infrastructure management market and related submarkets were estimated and forecasted using top-down and bottom-up methodologies. A bottom-up approach was employed to determine the overall market size by analyzing the revenues and offerings of significant market players. Data triangulation and validation through primary interviews were utilized to establish and confirm the precise value of the parent market. The overall market size was used in the top-down process to estimate the size of other specific markets through percentage splits of market segments.  

Top-down and bottom-up approaches were used to estimate and validate the data center infrastructure management market and its dependent subsegments. 
The research methodology used to estimate the market size included the following details:    

  •  Key players in the market were identified through secondary research. Their revenue contributions in the respective countries were then determined using primary and secondary research..
  • This procedure included studying top market players’ annual and financial reports and extensive interviews for key insights from industry leaders, such as Chief Executive Officers (CEOs), VPs, directors, and marketing executives.
  • All percentage splits and breakups were determined using secondary sources and verified through primary sources.

Using top-down and bottom-up methodologies, the data center infrastructure management market and related submarkets were estimated and forecasted. a bottom-up approach was used to calculate the overall market size by analyzing the revenues and offerings of significant market players. data triangulation methods and validation through primary interviews were employed to determine and confirm the precise worth of the entire parent market. the overall market size in the top-down process was used to estimate the size of other specific markets using percentage splits of market segments.

Data Center Infrastructure Management Market : Top-Down and Bottom-Up Approach

Data Center Infrastructure Management Market Top Down and Bottom Up Approach

Data Triangulation

After determining the overall market size, the market was segmented and subsegmented using the previously described market size estimation techniques. Where applicable, data triangulation and market breakdown methods were used to complete the market engineering process and determine the exact numbers for each market segment and subsegment. The data was triangulated by evaluating multiple elements and trends on the demand and supply sides of the data center infrastructure management (DCIM) market. 

Market Definition

Based on input from various sources and associations, data center infrastructure management (DCIM) is defined as “a suite of tools and platforms that a data center can use to control and monitor the IT, facility, and environmental settings across all departments. Flexible integration with IT and facility management enables DCIM systems to provide real-time operating information necessary for more efficient resource utilization, energy conservation, and operational enhancements in a data center.”    

Key Stakeholders

  • Cloud Service Providers (CSPs)
  • Original Equipment Manufacturers (OEMs)
  • Data Center Equipment Suppliers
  • Colocation Providers
  • Technology Services Providers
  • Data Center Managed Service Providers
  • Government Organizations
  • Networking Companies
  • Consultants/Consultancies/Advisory Firms
  • Support and Maintenance Service Providers
  • Telecom Service Providers
  • Information Technology (IT) Infrastructure Providers
  • System Integrators (SIs)
  • Regional Associations
  • Independent Software Vendors
  • Value-added Resellers and Distributors

Report Objectives

  • To define, describe, and forecast the data center infrastructure management (DCIM) market based on offering, functionality, deployment mode, tier type, data center size, end user, and region
  • To forecast the market size of the five major regional segments: North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
  • To strategically analyze the market subsegments concerning individual growth trends, prospects, and contributions to the total market
  • To provide detailed information related to the significant factors influencing the growth of the market (drivers, restraints, opportunities, and challenges)
  • To strategically analyze macro and micromarkets concerning growth trends, prospects, and their contribution to the overall market
  • To analyze industry trends, patents and innovations, and pricing data related to the market
  • To analyze the opportunities in the market for stakeholders and provide details of the competitive landscape for major players
  • To profile key players in the market and comprehensively analyze their market share/ranking and core competencies
  • To track and analyze competitive developments, such as mergers & acquisitions, product developments, and partnerships & collaborations in the market

Available customizations:

With the given market data, MarketsandMarkets offers customizations per the company's specific needs. The following customization options are available for the report:

Product Analysis

  • The product matrix provides a detailed comparison of each company's product portfolio.

Geographic Analysis

  • Further breakup of the Asia Pacific market into countries contributing 75% to the regional market size
  • Further breakup of the North American market into countries contributing 75% to the regional market size
  • Further breakup of the Latin American market into countries contributing 75% to the regional market size
  • Further breakup of the Middle Eastern & African market into countries contributing 75% to the regional market size
  • Further breakup of the European market into countries contributing 75% to the regional market size  

Company Information

  • Detailed analysis and profiling of additional market players (up to 5)

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TESTIMONIALS

Growth opportunities and latent adjacency in Data Center Infrastructure Management Market

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