Data Center Colocation Market Size, Share & Trends Analysis Report, By Colocation Service (Retail Colocation and Wholesale Colocation), By Infrastructure (Electrical Infrastructure, Mechanical Infrastructure, and General Construction), By Cooling Techniques (Air-based Cooling and Liquid-based Cooling) By End-user (Retail, BFSI, IT & Telecom, Healthcare, Media & Entertainment and Others), By Region, Forecasts, 2025-2034

Report Id: 2473 Pages: 180 Last Updated: 28 April 2025 Format: PDF / PPT / Excel / Power BI
Share With : linkedin twitter facebook

Segmentation of Data Center Colocation Market-

Data Center Colocation Market- By Colocation Services

  • Retail Colocation
  • Wholesale Colocation

Data Center Colocation Market seg

Data Center Colocation Market- By Infrastructure

  • Electrical Infrastructure
    • UPS Systems
    • Generators
    • Transfer Switches & Switchgear
    • PDUs
    • Others
  • Mechanical Infrastructure
    • Cooling Systems
      • CRAC & CRAH Units
      • Chiller Units
      • Cooling Towers, Condensers & Dry Coolers
      • Economizers & Evaporative Coolers
      • Other
    • Racks
    • Others
  • General Construction
    • Core & Shell Development
    • Installation & Commissioning Services
    • Engineering & Building Design
    • Fire Detection & Suppression
    • Physical Security
    • DCIM/BMS Solutions

Data Center Colocation Market- By Cooling Techniques

  • Air-based Cooling
  • Liquid-based Cooling

Data Center Colocation Market- By End-user

  • Retail
  • BFSI
  • IT & Telecom
  • Healthcare
  • Media & Entertainment
  • Others

Data Center Colocation Market- By Region

North America-

  • The US
  • Canada

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • Southeast Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Mexico
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of the Middle East and Africa

Chapter 1. Methodology and Scope

1.1. Research Methodology

1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Data Center Colocation Market Snapshot

Chapter 4. Global Data Center Colocation Market Variables, Trends & Scope

4.1. Market Segmentation & Scope

4.2. Drivers

4.3. Challenges

4.4. Trends

4.5. Investment and Funding Analysis

4.6. Industry Analysis – Porter’s Five Forces Analysis

4.7. Competitive Landscape & Market Share Analysis

4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: by Colocation Services Estimates & Trend Analysis

5.1. by Colocation Services & Market Share, 2024 & 2034

5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Colocation Services:

5.2.1. Retail Colocation

5.2.2. Wholesale Colocation

Chapter 6. Market Segmentation 2: by Infrastructure Estimates & Trend Analysis

6.1. by Infrastructure & Market Share, 2024 & 2034

6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Infrastructure:

6.2.1. Electrical Infrastructure

6.2.1.1. UPS Systems

6.2.1.2. Generators

6.2.1.3. Transfer Switches & Switchgear

6.2.1.4. PDUs

6.2.1.5. Other Electrical Infrastructure

6.2.2. Mechanical Infrastructure

6.2.2.1. Cooling Systems

6.2.2.1.1.  CRAC & CRAH Units

6.2.2.1.2.  Chiller Units

6.2.2.1.3.  Cooling Towers, Condensers & Dry Coolers

6.2.2.1.4.  Economizers & Evaporative Coolers

6.2.2.1.5.  Other Cooling Units

6.2.2.2. Racks

6.2.2.3. Other Mechanical Infrastructure

6.2.3. General Construction

6.2.3.1. Core & Shell Development

6.2.3.2. Installation & Commissioning Services

6.2.3.3. Engineering & Building Design

6.2.3.4. Fire Detection & Suppression

6.2.3.5. Physical Security

6.2.3.6. DCIM/BMS Solutions

Chapter 7. Market Segmentation 3: by Cooling Techniques Estimates & Trend Analysis

7.1. by Cooling Techniques & Market Share, 2024 & 2034

7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Cooling Techniques:

7.2.1. Air-based Cooling

7.2.2. Liquid-based Cooling

Chapter 8. Market Segmentation 4: by End-User Estimates & Trend Analysis

8.1. by End-User & Market Share, 2024 & 2034

8.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by End-User:

8.2.1. Retail

8.2.2. BFSI

8.2.3. IT & Telecom

8.2.4. Healthcare

8.2.5. Media & Entertainment

8.2.6. Others

Chapter 9. Data Center Colocation Market Segmentation 6: Regional Estimates & Trend Analysis

9.1. North America

9.1.1. North America Data Center Colocation Market Revenue (US$ Million) Estimates and Forecasts by Colocation Services, 2021-2034

9.1.2. North America Data Center Colocation Market Revenue (US$ Million) Estimates and Forecasts by Infrastructure, 2021-2034

9.1.3. North America Data Center Colocation Market Revenue (US$ Million) Estimates and Forecasts by Cooling Techniques, 2021-2034

9.1.4. North America Data Center Colocation Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034

9.1.5. North America Data Center Colocation Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034

9.2. Europe

9.2.1. Europe Data Center Colocation Market Revenue (US$ Million) Estimates and Forecasts by Colocation Services, 2021-2034

9.2.2. Europe Data Center Colocation Market Revenue (US$ Million) Estimates and Forecasts by Infrastructure, 2021-2034

9.2.3. Europe Data Center Colocation Market Revenue (US$ Million) Estimates and Forecasts by Cooling Techniques, 2021-2034

9.2.4. Europe Data Center Colocation Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034

9.2.5. Europe Data Center Colocation Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034

9.3. Asia Pacific

9.3.1. Asia Pacific Data Center Colocation Market Revenue (US$ Million) Estimates and Forecasts by Colocation Services, 2021-2034

9.3.2. Asia Pacific Data Center Colocation Market Revenue (US$ Million) Estimates and Forecasts by Infrastructure, 2021-2034

9.3.3. Asia-Pacific Data Center Colocation Market Revenue (US$ Million) Estimates and Forecasts by Cooling Techniques, 2021-2034

9.3.4. Asia Pacific Data Center Colocation Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034

9.3.5. Asia Pacific Data Center Colocation Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034

9.4. Latin America

9.4.1. Latin America Data Center Colocation Market Revenue (US$ Million) Estimates and Forecasts by Colocation Services, 2021-2034

9.4.2. Latin America Data Center Colocation Market Revenue (US$ Million) Estimates and Forecasts by Infrastructure, 2021-2034

9.4.3. Latin America Data Center Colocation Market Revenue (US$ Million) Estimates and Forecasts by Cooling Techniques, 2021-2034

9.4.4. Latin America Data Center Colocation Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034

9.4.5. Latin America Data Center Colocation Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034

9.5. Middle East & Africa

9.5.1. Middle East & Africa Data Center Colocation Market Revenue (US$ Million) Estimates and Forecasts by Colocation Services, 2021-2034

9.5.2. Middle East & Africa Data Center Colocation Market Revenue (US$ Million) Estimates and Forecasts by Infrastructure, 2021-2034

9.5.3. Middle East & Africa Data Center Colocation Market Revenue (US$ Million) Estimates and Forecasts by Cooling Techniques, 2021-2034

9.5.4. Middle East & Africa Data Center Colocation Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034

9.5.5. Middle East & Africa Data Center Colocation Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034

Chapter 10. Competitive Landscape

10.1. Major Mergers and Acquisitions/Strategic Alliances

10.2. Company Profiles

10.2.1. China Telecom Corporation Ltd.

10.2.2. Cologix

10.2.3. Colt Technology Services Group Ltd.

10.2.4. CoreSite

10.2.5. CyrusOne

10.2.6. Cyxtera Technologies, Inc.

10.2.7. Digital Realty Trust

10.2.8. Equinix, Inc.

10.2.9. Flexential

10.2.10. Iron Mountain Inc.

10.2.11. NTT Ltd.

10.2.12. QTS Realty Trust, LLC

10.2.13. Rackspace Technology

10.2.14. Telehouse

10.2.15. Zayo Group, LLC

10.2.16. Other Prominent Players

Research Design and Approach

This study employed a multi-step, mixed-method research approach that integrates:

  • Secondary research
  • Primary research
  • Data triangulation
  • Hybrid top-down and bottom-up modelling
  • Forecasting and scenario analysis

This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.

Secondary Research

Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.

Sources Consulted

Secondary data for the market study was gathered from multiple credible sources, including:

  • Government databases, regulatory bodies, and public institutions
  • International organizations (WHO, OECD, IMF, World Bank, etc.)
  • Commercial and paid databases
  • Industry associations, trade publications, and technical journals
  • Company annual reports, investor presentations, press releases, and SEC filings
  • Academic research papers, patents, and scientific literature
  • Previous market research publications and syndicated reports

These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.

Secondary Research

Primary Research

Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.

Stakeholders Interviewed

Primary interviews for this study involved:

  • Manufacturers and suppliers in the market value chain
  • Distributors, channel partners, and integrators
  • End-users / customers (e.g., hospitals, labs, enterprises, consumers, etc., depending on the market)
  • Industry experts, technology specialists, consultants, and regulatory professionals
  • Senior executives (CEOs, CTOs, VPs, Directors) and product managers

Interview Process

Interviews were conducted via:

  • Structured and semi-structured questionnaires
  • Telephonic and video interactions
  • Email correspondences
  • Expert consultation sessions

Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.

Data Processing, Normalization, and Validation

All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.

The data validation process included:

  • Standardization of units (currency conversions, volume units, inflation adjustments)
  • Cross-verification of data points across multiple secondary sources
  • Normalization of inconsistent datasets
  • Identification and resolution of data gaps
  • Outlier detection and removal through algorithmic and manual checks
  • Plausibility and coherence checks across segments and geographies

This ensured that the dataset used for modelling was clean, robust, and reliable.

Market Size Estimation and Data Triangulation

Bottom-Up Approach

The bottom-up approach involved aggregating segment-level data, such as:

  • Company revenues
  • Product-level sales
  • Installed base/usage volumes
  • Adoption and penetration rates
  • Pricing analysis

This method was primarily used when detailed micro-level market data were available.

Bottom Up Approach

Top-Down Approach

The top-down approach used macro-level indicators:

  • Parent market benchmarks
  • Global/regional industry trends
  • Economic indicators (GDP, demographics, spending patterns)
  • Penetration and usage ratios

This approach was used for segments where granular data were limited or inconsistent.

Hybrid Triangulation Approach

To ensure accuracy, a triangulated hybrid model was used. This included:

  • Reconciling top-down and bottom-up estimates
  • Cross-checking revenues, volumes, and pricing assumptions
  • Incorporating expert insights to validate segment splits and adoption rates

This multi-angle validation yielded the final market size.

Forecasting Framework and Scenario Modelling

Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.

Forecasting Methods

  • Time-series modelling
  • S-curve and diffusion models (for emerging technologies)
  • Driver-based forecasting (GDP, disposable income, adoption rates, regulatory changes)
  • Price elasticity models
  • Market maturity and lifecycle-based projections

Scenario Analysis

Given inherent uncertainties, three scenarios were constructed:

  • Base-Case Scenario: Expected trajectory under current conditions
  • Optimistic Scenario: High adoption, favourable regulation, strong economic tailwinds
  • Conservative Scenario: Slow adoption, regulatory delays, economic constraints

Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.

Name field cannot be blank!
Email field cannot be blank!(Use email format)
Designation field cannot be blank!
Company field cannot be blank!
Contact No field cannot be blank!
Message field cannot be blank!
5334
Security Code field cannot be blank!

Frequently Asked Questions

Data Center Colocation Market Size was valued at USD 34.1 Bn in 2024 and is predicted to reach USD 74.3 Bn by 2034

Data Center Colocation Market is expected to grow at a 8.2% CAGR during the forecast period for 2025-2034.

CyrusOne, Cyxtera Technologies, Inc., Digital Realty Trust, Equinix, Inc., Flexential, Iron Mountain Inc., NTT Ltd., QTS Realty Trust, LLC, Rackspace

Colocation Services, Infrastructure, Cooling Techniques and End-user are the key segments of the Data Center Colocation Market.

North America region is leading the Data Center Colocation Market.

Report License Selection

Determine the Appropriate License for your Report

Get Sample Report Enquiry Before Buying