US Data Center Colocation Market by Service Type (Traditional and Managed), Service Scale (Retail and Wholesale), Workload Type (General Purpose IT and HPC & AI), End User (Enterprises and Hyperscalers) with Impact of AI/Gen-AI - Forecast to 2030

icon1
USD 65.44 BN
MARKET SIZE, 2030
icon2
CAGR 11.0%
(2025-2030)
icon3
150
REPORT PAGES
icon4
255
MARKET TABLES

OVERVIEW

us-data-center-colocation-market Overview

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

The data center colocation market in the US is projected to grow from USD 38.80 billion in 2025 to USD 65.45 billion by 2030, reflecting an 11.0% CAGR. Growth is mainly due to increased workload deployments as a result of AI, as well as expansion of hyperscale cloud regional sites, both of which require greater power density and advanced cooling capabilities for optimal performance. As of the first half of 2025, the top markets for colocation in the US have a combined total of 5,242.5 MW under construction, indicating that there continues to be sustained momentum for investment in each of these large colocation markets. The Northern Virginia market continues to be the state with the most significant concentration of capacity at 2,078.2 MW due to the continuing availability of power and extensive connectivity, coupled with strong demand for colocation services from enterprises.

KEY TAKEAWAYS

  • US Data Center Colocation Market, By Service Scale
    The wholesale colocation segment is projected to register a higher CAGR (13.9%) than the retail colocation segment.
  • US Data Center Colocation Market, By Service Type
    The managed colocation is projected to register a higher CAGR (17.2%) than the traditional colocation segment.
  • US Data Center Colocation Market, By Workload Type
    The HPC & AI segment is projected to exhibit a higher grate rate (26.3%) than the generatl purpose IT segment.
  • US Data Center Colocation Market, By End User
    The hyperscalers segment is expected to witness significant growth.
  • US Data Center Colocation Market, By Organization Size
    The large enterprises segment is projected to grow at a higher rate than the SMEs segment.
  • US Data Center Colocation Market, By Enterprise Vertical
    Manufacturing is estimated to be the fastest-growing enterprise vertical segment in the US data center colocation market.
  • Competitive Landscape
    Equinix, Digital Realty, and NTT Data lead the US market through dense interconnection and AI-ready campuses.
  • Competitive Landscape
    CtrlS, BDx, and AirTrunk are expanding rapidly in the US through high-density, regulation-aligned campus developments.

The data center colocation market in the US is shifting as enterprises move toward scalable, high-density infrastructure to support cloud, AI, and data-intensive workloads. Demand is strongest from hyperscale and large enterprise customers that require reliable power, dense interconnection, and rapid deployment. Operators are responding by developing high-power, energy-efficient campuses designed for compliance, resilience, and long-term growth, making colocation a core enabler of enterprise digital strategy.

TRENDS & DISRUPTIONS IMPACTING CUSTOMERS' CUSTOMERS

As AI adoption accelerates, the data center colocation market in the US is expected to face structural disruption due to rising pressure on power availability and cooling capacity. High-density GPU deployments are driving adoption of liquid cooling, direct-to-chip cooling, and rear-door heat exchangers, which is reshaping facility design and capital planning. Grid access constraints and extended permitting timelines are projected to influence site selection decisions and slow capacity delivery across major colocation hubs. Expanding edge deployments and stricter data sovereignty requirements are anticipated to accelerate distributed colocation models that prioritize localized processing and regional operations.

us-data-center-colocation-market Disruptions

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

MARKET DYNAMICS

Drivers
Impact
Level
  • Surging demand for AI-ready, high-density colocation capacity
  • Rapid expansion of cloud-adjacent and hyperscale colocation campuses
RESTRAINTS
Impact
Level
  • Power delivery constraints and extended utility interconnection timelines
  • Escalating construction costs and long equipment lead times
OPPORTUNITIES
Impact
Level
  • Growing enterprise adoption of hybrid, multicloud interconnection ecosystems
  • Rising demand for liquid-cooled and next-generation colocation facilities
CHALLENGES
Impact
Level
  • Retrofitting legacy data centers to support high-density AI workloads
  • Severe shortage of skilled labor for advanced data center construction and operations

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

Driver: Surging demand for AI-ready, high-density colocation capacity

AI training and inference deployments are increasing demand for high-density colocation in the US. Some of the major growth areas include Northern Virginia, Dallas, Phoenix, and Silicon Valley. Buyers are prioritizing high-power racks and scalable power blocks with low-latency connectivity to cloud platforms and regional networks

Restraint: Power delivery constraints and extended utility interconnection timelines

Power availability is one of the major hurdles for colocation markets in the US. Delays in utility interconnections, substation upgrades, and permitting requirements are leading to a rise in capital exposure and delayed revenue realization. They can also limit near-term capacity for power-intensive AI deployments.

Opportunity: Growing enterprise adoption of hybrid and multicloud interconnection ecosystems

Enterprises increasingly use colocation as an interconnection hub between on-premises infrastructure and public cloud platforms. Network providers also anchor these ecosystems. This supports demand for carrier-dense and cloud-adjacent campuses. It also enables low-latency data exchange and workload portability. These requirements make interconnection-focused colocation a durable growth opportunity.

Challenge: Retrofitting legacy data centers to support high-density AI workloads

A large share of installed colocation capacity was built for lower-density enterprise workloads. Upgrading sites for higher power densities often necessitates significant electrical and mechanical modifications. Liquid-cooling readiness can also require structural modifications. These retrofit programs increase capital intensity and execution risk. Risk is higher when upgrades occur in active production environments.

US DATA CENTER COLOCATION MARKET: COMMERCIAL USE CASES ACROSS INDUSTRIES

COMPANY USE CASE DESCRIPTION BENEFITS
Digital Realty worked with SAP to quickly grow SAP's global cloud infrastructure across more than 150 countries. SAP's own proprietary data centers were both slow and costly to expand, resulting in delays ranging from 12 to 24 months for deployment. SAP sought a colocation partner that could grow quickly, provide a global footprint, and offer flexibility in supporting hybrid models, sustainability goals, and generative AI workloads. 6× faster infrastructure scaling (18 months → 3 months) | Centralized global vendor engagement | 99.999% uptime | Green-certified deployments using 100% renewable energy | Faster cloud expansion across three continents | Improved operational flexibility and sustainability alignment.
BMW partnered with NTT Data to improve and automate its global colocation and network environment, supporting over 30,000 servers and approximately 1,000 WANs. BMW was looking for a very stable and independent global network operations with a cloud-based architecture that provides a "cloud-ready" architecture to minimize any interruptions and follow the strictest processes and security standards. 85% faster server deployments | 99% accuracy in diagnosing issues | Reduced manual IT workloads | Improved service quality | Seamless integration of cloud-ready on-prem systems | Enhanced operational stability across 30,000+ servers and 40,000 network devices.
CBS Interactive worked with Iron Mountain to replace an older colocation option that was not able to handle traffic spikes in the range of 15-18 GB/sec with a newer colocation option providing a scalable, energy-efficient solution that would provide 100% uptime, while allowing them to efficiently support applications used by their customers and meeting specific SLA requirements. State-of-the-art high-density colocation | 100% uptime SLA | Two-thirds reduction in colocation costs | Improved cooling through sealed racks and ultrasonic humidification | Enhanced energy efficiency | Disaster-resilient Phoenix facility optimized for long-term IT stability.

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 data center colocation market in the US consists of two key operator categories: Carrier-Neutral providers, offering flexible interconnection across multiple networks, and Carrier-Owned providers, delivering colocation integrated with their telecom infrastructure. Together, they support enterprise connectivity, scalability, and distributed digital infrastructure growth.

us-data-center-colocation-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

us-data-center-colocation-market Segments

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

US Data Center Colocation Market, By Service Scale

Retail colocation is the largest service-scale segment in the US. Enterprises favor flexible rack-level deployments. Predictable pricing supports cost control. Dense interconnection ecosystems improve cloud and network access. Rapid deployment timelines support hybrid-cloud strategies, reinforcing retail colocation as the preferred operating model.

US Data Center Colocation Market, By Service Type

Traditional colocation remains the dominant service type in the US. Enterprises continue to rely on cabinet, cage, and power-based provisioning. Familiar operating models simplify management. Strong control and compatibility with legacy systems sustain demand from industries with stable and predictable workloads.

US Data Center Colocation Market, By End User

Enterprises account for the largest end-user segment in the US data center colocation market. Ongoing digital transformation is a primary driver of demand. Hybrid-cloud expansion is increasing infrastructure complexity. Rising compliance requirements are reinforcing the need for secure environments. Demand for scalable and cost-efficient infrastructure continues to strengthen enterprise reliance on colocation services.

US Data Center Colocation Market, By Organization Size

Large enterprises lead colocation adoption in the US. They operate workloads across multiple regions. Governance and resiliency requirements are high. Larger IT budgets support sustained capacity investment. Continuous hybrid-cloud expansion makes large enterprises the primary revenue contributors.

US Data Center Colocation Market, By Workload Type

General-purpose IT is the largest workload category. ERP, CRM, analytics, and storage migrations drive demand. Hybrid compatibility and steady compute requirements sustain dominance.

US Data Center Colocation Market, By Enterprise Vertical

IT & ITeS is the leading enterprise vertical. Cloud consumption is high. Digital services scale rapidly. Strong uptime, interconnection density, and scalable compute drive revenue leadership.

REGION

 

 

us-data-center-colocation-market Region

US DATA CENTER COLOCATION MARKET: COMPANY EVALUATION MATRIX

The Company Evaluation Matrix categorizes colocation vendors into four distinct quadrants based on their market position and respective capabilities. Equinix is clearly the standout for the Stars quadrant as it has a very strong market presence and the largest portfolio of colocation service offerings. China Telecom is in the Emerging Leaders quadrant, while the remainder of the US vendors exist within the Participants and Pervasive Players quadrants and represent varying levels of scale and execution capabilities.

us-data-center-colocation-market Evaluation Metrics

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

KEY MARKET PLAYERS

MARKET SCOPE

REPORT METRIC DETAILS
Market Size in 2025 (Value) USD 38.80 Billion
Market Forecast in 2030 (Value) USD 65.44 Billion
Growth Rate CAGR of 11.0% from 2025 to 2030
Years Considered 2020–2030
Base Year 2024
Forecast Period 2025–2030
Units Considered Value (USD Billion)
Report Coverage Revenue forecast, company ranking, competitive landscape, vendor positioning, segment-wise analysis, regional trends, technological developments, key commercial use cases, and growth factors.
Segments Covered
  • By Service Scale:
    • Retail Colocation
    • Wholesale Colocation
  • By Workload Type:
    • General Purpose IT
    • High Performance Computing (HPC)
  • By Organization Size:
    • Large Enterprises
    • SMEs
  • By End User:
    • Hyperscalers
    • Enterprises (IT & ITeS
    • Telecommunications
    • BFSI
    • Government & Public Sector
    • Healthcare & Life Sciences
    • Retail & E-commerce
    • Manufacturing
    • Energy & Utilities
    • Other Enterprises)

WHAT IS IN IT FOR YOU: US DATA CENTER COLOCATION MARKET REPORT CONTENT GUIDE

us-data-center-colocation-market Content Guide

DELIVERED CUSTOMIZATIONS

We have successfully delivered the following deep-dive customizations:

CLIENT REQUEST CUSTOMIZATION DELIVERED VALUE ADDS
Cloud Service Provider
  • Benchmarking of cross-regional colocation pricing
  • Evaluation of SLA tiers, interconnection density, and power availability
  • Analysis of retail vs wholesale colocation fit for cloud workload distribution
  • Optimize region expansion
  • Improve workload placement decisions
  • Reduce latency risks
  • Strengthen cloud-to-colo integration planning
Telecom Operator (Edge Deployments)
  • Identification of edge-ready colocation sites near fiber routes
  • Assessment of power redundancy and cooling at edge nodes
  • Benchmarking neutral vs carrier-owned facilities for MEC workloads
  • Faster edge rollout
  • Lower deployment costs
  • Improved network reliability
  • Selection of telco-grade colocation partners
Enterprise (IT, BFSI, Retail, Manufacturing)
  • Comparison of US colocation providers
  • Assessment of compliance, security certifications, and uptime SLAs
  • Analysis of migration costs, cross-connect pricing, and scalability across facilities
  • Reduce IT infra costs
  • Strengthen compliance and security posture
  • Improve multi-site workload reliability
  • Enable scalable hybrid-IT strategy

RECENT DEVELOPMENTS

  • November 2025 : Digital Realty deepened its collaboration with NVIDIA by hosting the NVIDIA AI Factory Research Center at its Manassas, Virginia campus. The initiative focuses on AI factory blueprints, advanced liquid cooling, and power-efficiency innovations, positioning Digital Realty’s global colocation platform as a testbed for next-generation AI-optimized data center designs.
  • October 2025 : Centersquare acquired 10 colocation data centers in the US and Canada for USD 1 billion using cash on hand. The transaction expands capacity in Dallas, Boston, Minneapolis, Tulsa, Nashville, Raleigh, Toronto, and Montreal.
  • October 2025 : Vantage Data Centers, with OpenAI and Oracle, announced a Stargate campus in Port Washington, Wisconsin. Vantage plans to invest over USD 15 billion. The campus targets 1 GW of AI capacity by 2028. The project uses zero-emission energy matching and closed-loop liquid cooling.
  • October 2025 : CoreSite reached a major construction milestone for its DE3 data center in Denver. The 180,000 square foot facility will interconnect with DE1 and DE2. Availability is targeted for 2026. The campus is planned to scale toward 60 MW and includes local community investment commitments.

 

Table of Contents

Exclusive indicates content/data unique to MarketsandMarkets and not available with any competitors.

TITLE
PAGE NO
1
INTRODUCTION
 
 
 
15
2
EXECUTIVE SUMMARY
 
 
 
 
3
PREMIUM INSIGHTS
 
 
 
 
4
MARKET OVERVIEW
Maps the market evolution with focus on trend catalysts, risk factors, and growth opportunities across segments.
 
 
 
 
 
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
 
 
 
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 US DATA CENTER SOLUTIONS MARKET
 
 
 
 
5.2.4
TRENDS IN US HYPERSCALE DATA CENTER MARKET
 
 
 
5.3
SUPPLY CHAIN ANALYSIS
 
 
 
 
 
5.4
ECOSYSTEM ANALYSIS
 
 
 
 
 
5.5
PRICING ANALYSIS
 
 
 
 
 
 
5.5.1
AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY SERVICE SCALE, (2022–2025)
 
 
 
 
5.5.2
AVERAGE SELLING PRICE TREND, BY SERVICE TYPE, (2022–2025)
 
 
 
5.6
KEY CONFERENCES AND EVENTS, 2024–2026
 
 
 
 
5.7
TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
 
 
 
 
5.8
INVESTMENT FUNDING SCENARIO
 
 
 
 
5.9
CASE STUDY ANALYSIS
 
 
 
6
TECHNOLOGICAL ADVANCEMENTS, AI-DRIVEN IMPACT, PATENTS, INNOVATIONS, AND FUTURE APPLICATIONS
 
 
 
 
 
6.1
KEY TECHNOLOGIES
 
 
 
 
 
6.1.1
POWER & COOLING INFRASTRUCTURE
 
 
 
 
6.1.2
REMOTE MONITORING AND DATA CENTER INFRASTRUCTURE MANAGEMENT
 
 
 
 
6.1.3
PHYSICAL SECURITY & ACCESS CONTROL SYSTEMS
 
 
 
 
6.1.4
INTERCONNECTION & CARRIER-NEUTRAL CONNECTIVITY
 
 
 
6.2
COMPLEMENTARY TECHNOLOGIES
 
 
 
 
 
6.2.1
AI & MACHINE LEARNING FOR PREDICTIVE MAINTENANCE
 
 
 
 
6.2.2
LIQUID & IMMERSION COOLING
 
 
 
 
6.2.3
SOFTWARE-DEFINED WIDE AREA NETWORK (SD-WAN)
 
 
 
 
6.2.4
DATA CENTER AS A SERVICE (DCAAS)
 
 
 
6.3
ADJACENT TECHNOLOGIES
 
 
 
 
 
6.3.1
PUBLIC & HYBRID CLOUD PLATFORMS
 
 
 
 
6.3.2
EDGE COMPUTING
 
 
 
 
6.3.3
CONTENT DELIVERY NETWORKS (CDNS)
 
 
 
 
6.3.4
ENTERPRISE STORAGE & BACKUP SOLUTIONS
 
 
 
6.4
TECHNOLOGY/PRODUCT ROADMAP
 
 
 
 
6.5
PATENT ANALYSIS
 
 
 
 
 
6.6
IMPACT OF AI/GEN AI ON DATA CENTER COLOCATION MARKET
 
 
 
 
 
 
6.6.1
TOP USE CASE AND MARKET POTENTIAL
 
 
 
 
6.6.2
BEST PRACTICES FOLLOWED BY PROVIDERS IN US DATA CENTER COLOCATION MARKET
 
 
 
 
6.6.3
CASE STUDIES RELATED TO AI IMPLEMENTATION IN US DATA CENTER COLOCATION MARKET
 
 
 
 
6.6.4
INTERCONNECTED ECOSYSTEM AND IMPACT OF MARKET PLAYERS
 
 
 
 
6.6.5
CLIENT’S READINESS TO ADOPT AI-INTEGRATED DATA CENTER COLOCATION
 
 
7
REGULATORY LANDSCAPE
 
 
 
 
 
7.1
US REGULATIONS AND COMPLIANCE -
 
 
 
 
 
7.1.1
REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
 
 
 
 
7.1.2
INDUSTRY STANDARDS
 
 
 
 
7.1.3
IMPACT OF REGULATORY POLICIES ON SUSTAINABILITY INITIATIVES
 
 
8
CUSTOMER LANDSCAPE AND BUYING BEHAVIOR
 
 
 
 
 
8.1
INTRODUCTION
 
 
 
 
8.2
DECISION-MAKING PROCESS
 
 
 
 
8.3
KEY STAKEHOLDERS INVOLVED IN BUYING PROCESS AND EVALUATION CRITERIA
 
 
 
 
 
8.3.1
KEY STAKEHOLDERS IN BUYING PROCESS
 
 
 
 
8.3.2
BUYING CRITERIA
 
 
 
 
8.3.3
ADOPTION BARRIERS AND INTERNAL CHALLENGES
 
 
 
 
8.3.4
UNMET NEEDS OF VARIOUS END-USE USER
 
 
9
US DATA CENTER COLOCATION MARKET, BY SERVICE TYPE (MARKET SIZE & FORECAST TO 2030 - IN VALUE, USD MILLION)
 
 
 
 
 
SERVICE TYPE-WISE DEMAND POTENTIAL AND GROWTH PATHWAYS SHAPING COLOCATION ADOPTION ACROSS DIVERSE INDUSTRIES
 
 
 
 
 
9.1
INTRODUCTION
 
 
 
 
9.2
TRADITIONAL COLOCATION
 
 
 
 
9.3
MANAGED COLOCATION
 
 
 
10
US DATA CENTER COLOCATION MARKET, BY SERVICE SCALE (MARKET SIZE & FORECAST TO 2030 - IN VALUE, USD MILLION)
 
 
 
 
 
SERVICE SCALE DEMAND POTENTIAL AND GROWTH PATHWAYS SHAPING COLOCATION ADOPTION ACROSS DIVERSE INDUSTRIES
 
 
 
 
 
10.1
INTRODUCTION
 
 
 
 
10.2
RETAIL COLOCATION
 
 
 
 
10.3
WHOLESALE COLOCATION
 
 
 
11
US DATA CENTER COLOCATION MARKET, BY WORKLOAD TYPE (MARKET SIZE & FORECAST TO 2030 - IN VALUE, USD MILLION)
 
 
 
 
 
WORKLOAD TYPE-WISE DEMAND POTENTIAL AND GROWTH PATHWAYS SHAPING COLOCATION ADOPTION ACROSS DIVERSE INDUSTRIES
 
 
 
 
 
11.1
INTRODUCTION
 
 
 
 
11.2
HIGH PERFORMANCE COMPUTING
 
 
 
 
11.3
GENERAL PURPOSE IT
 
 
 
12
US DATA CENTER COLOCATION MARKET, BY ORGANIZATION SIZE (MARKET SIZE & FORECAST TO 2030 - IN VALUE, USD MILLION)
 
 
 
 
 
ORGANIZATION SIZE-WISE DEMAND POTENTIAL AND GROWTH PATHWAYS SHAPING COLOCATION ADOPTION ACROSS DIVERSE INDUSTRIES
 
 
 
 
 
12.1
INTRODUCTION
 
 
 
 
12.2
SMES
 
 
 
 
12.3
LARGE ENTERPRISES
 
 
 
13
US DATA CENTER COLOCATION MARKET, BY END USER (MARKET SIZE & FORECAST TO 2030 - IN VALUE, USD MILLION)
 
 
 
 
 
ASSESSMENT OF END-USER-SPECIFIC ADOPTION DRIVERS, DEMAND DYNAMICS, AND MARKET POTENTIAL ACROSS KEY INDUSTRY VERTICALS
 
 
 
 
 
13.1
INTRODUCTION
 
 
 
 
13.2
HYPERSCALERS
 
 
 
 
13.3
ENTERPRISES
 
 
 
 
 
13.3.1
BANKING, FINANCIAL SERVICES, & INSURANCE
 
 
 
 
13.3.2
IT & ITES
 
 
 
 
13.3.3
GOVERNMENT & PUBLIC SECTOR
 
 
 
 
13.3.4
HEALTHCARE & LIFE SCIENCES
 
 
 
 
13.3.5
RETAIL & E-COMMERCE
 
 
 
 
13.3.6
MANUFACTURING
 
 
 
 
13.3.7
ENERGY & UTILITIES
 
 
 
 
13.3.8
OTHER ENTERPRISES
 
 
14
COMPETITIVE LANDSCAPE (STRATEGIC ASSESSMENT OF LEADING PLAYERS, MARKET SHARE, REVENUE ANALYSIS, COMPANY POSITIONING, AND COMPETITIVE BENCHMARKS INFLUENCING MARKET POTENTIAL)
 
 
 
 
 
14.1
OVERVIEW
 
 
 
 
14.2
KEY PLAYER STRATEGIES/RIGHT TO WIN,
 
 
 
 
14.3
REVENUE ANALYSIS, 2020–2024
 
 
 
 
 
14.4
MARKET SHARE ANALYSIS,
 
 
 
 
 
14.5
PRODUCT COMPARISON
 
 
 
 
 
14.6
COMPANY EVALUATION MATRIX: KEY PLAYERS,
 
 
 
 
 
 
14.6.1
STARS
 
 
 
 
14.6.2
EMERGING LEADERS
 
 
 
 
14.6.3
PERVASIVE PLAYERS
 
 
 
 
14.6.4
PARTICIPANTS
 
 
 
 
14.6.5
COMPANY FOOTPRINT: KEY PLAYERS,
 
 
 
 
 
14.6.5.1
COMPANY FOOTPRINT
 
 
 
 
14.6.5.2
SERVICE TYPE FOOTPRINT
 
 
 
 
14.6.5.3
SERVICE SCALE FOOTPRINT
 
 
 
 
14.6.5.4
WORKLOAD TYPE FOOTPRINT
 
 
 
 
14.6.5.5
END-USER FOOTPRINT
 
 
 
 
14.6.5.6
ENTERPRISE FOOTPRINT
 
 
14.7
COMPANY EVALUATION MATRIX: STARTUPS/SMES,
 
 
 
 
 
 
14.7.1
PROGRESSIVE COMPANIES
 
 
 
 
14.7.2
RESPONSIVE COMPANIES
 
 
 
 
14.7.3
DYNAMIC COMPANIES
 
 
 
 
14.7.4
STARTING BLOCKS
 
 
 
 
14.7.5
COMPETITIVE BENCHMARKING: STARTUPS/SMES,
 
 
 
 
 
14.7.5.1
DETAILED LIST OF KEY STARTUPS/SMES
 
 
 
 
14.7.5.2
COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
 
 
14.8
COMPANY VALUATION AND FINANCIAL METRICS
 
 
 
 
14.9
COMPETITIVE SCENARIO
 
 
 
 
 
14.9.1
PRODUCT LAUNCHES
 
 
 
 
14.9.2
DEALS
 
 
 
 
14.9.3
EXPANSIONS
 
 
15
COMPANY PROFILES (IN-DEPTH REVIEW OF COMPANIES, PRODUCTS, SERVICES, RECENT INITIATIVES, AND POSITIONING STRATEGIES IN US DATA CENTER COLOCATION MARKET)
 
 
 
 
 
15.1
EQUINIX
 
 
 
 
15.2
DIGITAL REALTY
 
 
 
 
15.3
NTT DATA
 
 
 
 
15.4
QTS DATA CENTERS
 
 
 
 
15.5
KDDI CORPORATION
 
 
 
 
15.6
IRON MOUNTAIN
 
 
 
 
15.7
CHINA TELECOM CORPORATION LTD
 
 
 
 
15.8
CYRUSONE
 
 
 
 
15.9
CENTERSQUARE
 
 
 
 
15.10
VANTAGE DATA CENTERS
 
 
 
 
15.11
DATABANK
 
 
 
 
15.12
EDGECONNEX
 
 
 
 
15.13
SWITCH
 
 
 
 
15.14
CORESITE
 
 
 
 
15.15
ALIGNED DATA CENTERS
 
 
 
16
RESEARCH METHODOLOGY
 
 
 
 
 
16.1
RESEARCH DATA
 
 
 
 
 
16.1.1
SECONDARY DATA
 
 
 
 
 
16.1.1.1
KEY DATA FROM SECONDARY SOURCES
 
 
 
 
16.1.1.2
LIST OF KEY SECONDARY SOURCES
 
 
 
16.1.2
PRIMARY DATA
 
 
 
 
 
16.1.2.1
KEY DATA FROM PRIMARY SOURCES
 
 
 
 
16.1.2.2
KEY PRIMARY PARTICIPANTS
 
 
 
 
16.1.2.3
BREAKUP OF PRIMARIES INTERVIEWS
 
 
 
 
16.1.2.4
KEY INDUSTRY INSIGHTS
 
 
16.2
MARKET SIZE ESTIMATION
 
 
 
 
 
16.2.1
BOTTOM-UP APPROACH
 
 
 
 
16.2.2
TOP-DOWN APPROACH
 
 
 
 
16.2.3
MARKET SIZE CALCULATION FOR BASE YEAR
 
 
 
16.3
MARKET FORECAST APPROACH
 
 
 
 
 
16.3.1
SUPPLY SIDE
 
 
 
 
16.3.2
DEMAND SIDE
 
 
 
16.4
DATA TRIANGULATION
 
 
 
 
16.5
FACTOR ANALYSIS
 
 
 
 
16.6
RESEARCH ASSUMPTIONS AND LIMITATIONS
 
 
 
 
16.7
RISK ASSESSMENT
 
 
 
17
APPENDIX
 
 
 
 
 
17.1
DISCUSSION GUIDE
 
 
 
 
17.2
KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
 
 
 
 
17.3
CUSTOMIZATION OPTIONS
 
 
 
 
17.4
RELATED REPORTS
 
 
 
 
17.5
AUTHOR DETAILS
 
 
 

Methodology

This research study on the US Data Center Colocation Market involved extensive secondary sources, directories, IEEE Communication-Efficient: Algorithms and Systems, International Journal of Innovation and Technology Management, and paid databases. Primary sources were mainly industry experts from the core and related industries, preferred data center colocation service providers, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews were conducted with primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information and assess the market’s prospects.

Secondary Research

In the secondary research process, various sources were referred to identify and collect information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as journals, government websites, blogs, and vendors’ websites. Additionally, the data center colocation spending of various countries was extracted from the respective sources.

Primary Research

In the primary research process, various primary sources from the supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, such as Chief Experience Officers (CXOs), Vice Presidents (VPs), and directors specializing in business development, marketing, and data center colocation service providers. It also included key executives from data center colocation vendors, system integrators (SIs), professional service providers, industry associations, and other key opinion leaders.

Market Size Estimation

Multiple approaches were adopted to estimate and forecast the US Data Center Colocation Market. The first approach involved estimating the market size by companies’ revenue generated through the sale of data center colocation services.

The top-down approach prepared an exhaustive list of all the vendors offering products in the US Data Center Colocation Market. The revenue contribution of the market vendors was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each vendor’s offerings were evaluated based on platform, degree of customization, type, application, end user, and region. The markets were triangulated through primary and secondary research. The primary procedure included extensive interviews for key insights from industry leaders, such as CIOs, CEOs, VPs, directors, and marketing executives. The market numbers were further triangulated with the existing MarketsandMarkets’ repository for validation.

In the bottom-up approach, the adoption rate of data center colocation services among different verticals in key countries concerning their regions contributing the most to the market share was identified. For cross-validation, the adoption of data center colocation services among enterprises, along with different use cases for their regions, was identified and extrapolated. Weightage was given to use cases identified in different areas for the market size calculation.

Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included an analysis of the US Data Center Colocation Market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socioeconomic analysis of each country, strategic vendor analysis of major data center colocation providers, and organic and inorganic business development activities of regional and global players were estimated.

Data Triangulation

After determining the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. Data triangulation and market breakup procedures were employed, wherever applicable, to complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Market Definition

The US Data Center Colocation Market refers to the segment where businesses rent space, power, cooling, and connectivity within third-party data center facilities to host their own servers, storage, and networking equipment. Colocation providers offer physical security, redundant power and cooling systems, and access to multiple network carriers, allowing different enterprises to operate in a shared yet secure environment while maintaining control over their infrastructure. This model enables companies to reduce capital expenditures, improve uptime and scalability, and meet compliance requirements more effectively. The market is expanding due to the rising adoption of cloud computing, big data analytics, and IoT, along with a growing emphasis on modular infrastructure and sustainable operations.

Stakeholders

  • Data center colocation service providers 
  • Hyperscalers & Cloud service providers
  • Networking companies
  • Information technology (IT) infrastructure providers
  • Consultants/Consultancies/Advisory firms
  • Component providers
  • Telecom service providers
  • System integrators (SIs)
  • Support and maintenance service providers
  • Support service providers
  • Third-party providers
  • Government organizations and standardization bodies
  • Datacenter providers
  • Regional associations
  • Independent hardware and software vendors
  • Value-added resellers and distributors

Report Objectives

  • To define, describe, and forecast the US Data Center Colocation Market based on service type, service scale, workload type, organization 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 provide detailed information related to the major factors influencing the growth of the market (drivers, restraints, opportunities, and challenges)
  • To strategically analyze macro and micro markets 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 to meet 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 as per Feasibility

  • Further breakup of the North American US Data Center Colocation Market
  • Further breakup of the European market
  • Further breakup of the Asia Pacific market
  • Further breakup of the Middle East & Africa market
  • Further breakup of the Latin American US Data Center Colocation Market

Company Information

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

Personalize This Research

  • Triangulate with your Own Data
  • Get Data as per your Format and Definition
  • Gain a Deeper Dive on a Specific Application, Geography, Customer or Competitor
  • Any level of Personalization
Request A Free Customisation

Let Us Help You

  • What are the Known and Unknown Adjacencies Impacting the US Data Center Colocation Market
  • What will your New Revenue Sources be?
  • Who will be your Top Customer; what will make them switch?
  • Defend your Market Share or Win Competitors
  • Get a Scorecard for Target Partners
Customized Workshop Request

Custom Market Research Services

We Will Customise The Research For You, In Case The Report Listed Above Does Not Meet With Your Requirements

Get 10% Free Customisation

Growth opportunities and latent adjacency in US Data Center Colocation Market

DMCA.com Protection Status