The United States data center colocation market is expected to grow by 16.5% on an annual basis to reach US$46.84 billion in 2026. The colocation market in United States has demonstrated consistent expansion during 2021-2025, recording a CAGR of 15.2%.
This growth momentum is accelerate over the forecast period, with the market projected to register a 11.5% from 2026-2030. By the end of 2030, the colocation market is anticipated to expand from US$40.21 billion in 2025 to approximately US$72.37 billion, driven by surging AI and GPU workload demand, accelerating hyperscaler capacity build-out, and sustained enterprise adoption of hybrid multi-cloud infrastructure.
This report provides a structured, data-centric analysis of the US data center colocation market, offering comprehensive coverage of both the overall data center landscape and the colocation ecosystem. It includes installed capacity, leased capacity, net annual absorption, vacancy rates, market revenue, colocation pricing, and workload segmentation across AI and non-AI demand.
The report also covers capacity pipeline metrics across operational, under-construction, and planned stages, alongside operational efficiency indicators such as PUE, rack power density, and renewable energy factor, and financial and investment metrics including capex per MW, electricity costs, and revenue per square foot. These insights collectively provide a comprehensive view of market structure, demand dynamics, and infrastructure investment trends across the US colocation ecosystem.
The research methodology is based on industry best practices. Its unbiased analysis leverages a proprietary analytics platform to offer a detailed view of emerging business and investment market opportunities.
This growth momentum is accelerate over the forecast period, with the market projected to register a 11.5% from 2026-2030. By the end of 2030, the colocation market is anticipated to expand from US$40.21 billion in 2025 to approximately US$72.37 billion, driven by surging AI and GPU workload demand, accelerating hyperscaler capacity build-out, and sustained enterprise adoption of hybrid multi-cloud infrastructure.
Key Trends and Growth Drivers
AI Workload Demand Reshapes Colo Capacity Requirements
- Hyperscalers and AI-native companies are driving a sharp shift in the type of capacity demanded from US colo providers. In 2025, facilities capable of supporting high-density compute racks (30kW and above per rack) are in short supply across Northern Virginia, Silicon Valley, and Chicago. Equinix and Digital Realty have both announced high-density expansions in these corridors to accommodate GPU-intensive workloads from tenants such as CoreWeave and Lambda Labs.
- The scaling of large language model training and inference infrastructure requires power and cooling densities that legacy colo builds cannot support. Liquid cooling adoption, including direct liquid cooling and immersion cooling, is accelerating among US colo operators to meet these requirements.
- Demand for AI-ready colo capacity will intensify. Providers unable to retrofit or build for high-density will face tenant churn. Differentiation will shift from connectivity and location to power density and cooling capability.
Power Scarcity Concentrates Development in New Markets
- Power constraints in established US colo markets, particularly Northern Virginia (Loudoun County), are redirecting investment to secondary markets. In 2025, Columbus (Ohio), San Antonio, and Boise have seen increased land acquisition and permitting activity from major colo developers including QTS Realty and Iron Mountain.
- Dominion Energy's moratorium on new large power connections in Northern Virginia, combined with extended utility interconnection queues nationally, is forcing operators to look beyond primary markets. State-level incentives in Ohio, Texas, and Idaho are reinforcing this shift.
- Secondary US markets will gain disproportionate share of new colo supply. Primary markets will see rising lease rates due to constrained new supply, benefiting existing operators with built-out capacity.
Enterprise Colocation Demand Grows as Cloud Repatriation Continues
- A portion of US enterprises that migrated workloads to public cloud are selectively returning compute and storage to colo environments on cost and control grounds. In 2025, financial services firms and healthcare providers are among the most active segments executing hybrid IT strategies anchored in colo. Colo providers including Flexential and Evoque Data Centre Solutions are actively marketing to enterprise repatriation use cases.
- Predictable pricing, data residency requirements, and total cost of ownership comparisons are driving this recalibration.
- Enterprise colo demand will provide a stable demand floor. Providers with strong managed services capabilities layered on colo infrastructure will capture higher-value contracts.
Competitive Landscape
Current State of the Market
- The US colocation market in 2025 is the largest globally by installed capacity and investment volume. Northern Virginia remains the highest-density colo market worldwide, with Chicago, Dallas, Silicon Valley, and New York as secondary hubs. Vacancy rates in primary markets have tightened, with available powered shell space in Northern Virginia below 5% as of early 2025. Wholesale colo, particularly for hyperscaler and AI tenants, accounts for the majority of new leasing volume.
Key Players and New Entrants
- Equinix and Digital Realty maintain dominant positions in retail and wholesale colo respectively. Iron Mountain has expanded its colo footprint through continued development in Phoenix and Denver. QTS (Blackstone) is scaling hyperscale-focused campuses in Ashburn, Richmond, and new secondary markets. CoreSite operates in major metro markets with strong enterprise and network-dense positioning. AI-focused colo developers such as Applied Digital and Vantage Data Centers are scaling rapidly with financing from institutional capital.
Recent Launches, Mergers and Acquisitions
- In 2025, Blackstone-backed QTS announced additional phases at its Richmond campus targeting hyperscale AI tenants. Equinix completed expansions at its Ashburn and Dallas facilities. Iron Mountain acquired data center assets in the Southwest to increase its US footprint.Competitive intensity will increase as capital continues to flow into the sector. Differentiation will harden around power access, fiber density, and AI-ready infrastructure. Operators without secured power pipeline face meaningful risk of being outpaced by well-capitalized peers.
Infrastructure & Regulatory Environment
Power Grid Access and Energy Mix
- The US power grid presents an uneven landscape for colo development. PJM Interconnection, which covers the critical Northern Virginia market, has a multi-year interconnection queue backlog extending to 2030 in some areas. Texas (ERCOT) offers faster interconnection timelines but carries grid reliability risks. Renewable energy procurement is a competitive priority; Equinix, Digital Realty, and QTS have all made commitments to 100% renewable energy matching in the US market, primarily through power purchase agreements and renewable energy certificates.
Government Policy and Data Localization
- The US does not impose data localization requirements at the federal level, making it a relatively open market for cross-border data flows. Sector-specific regulations (HIPAA for healthcare, GLBA for financial services) create compliance-driven demand for domestic colo. In 2025, the federal government's focus on AI infrastructure has translated into incentive discussions for domestic AI compute infrastructure.
Barriers to Expansion
- Power availability and skilled labor are the primary barriers. Utility upgrade lead times of 3-5 years in constrained markets extend development timelines significantly. Permitting and community opposition in Loudoun County, Virginia, have added friction to new development approvals. Water usage for cooling is an increasing point of regulatory and community scrutiny in water-stressed Western states.
This report provides a structured, data-centric analysis of the US data center colocation market, offering comprehensive coverage of both the overall data center landscape and the colocation ecosystem. It includes installed capacity, leased capacity, net annual absorption, vacancy rates, market revenue, colocation pricing, and workload segmentation across AI and non-AI demand.
The report also covers capacity pipeline metrics across operational, under-construction, and planned stages, alongside operational efficiency indicators such as PUE, rack power density, and renewable energy factor, and financial and investment metrics including capex per MW, electricity costs, and revenue per square foot. These insights collectively provide a comprehensive view of market structure, demand dynamics, and infrastructure investment trends across the US colocation ecosystem.
The research methodology is based on industry best practices. Its unbiased analysis leverages a proprietary analytics platform to offer a detailed view of emerging business and investment market opportunities.
Report Scope
This report provides a comprehensive, data-driven analysis of the data center colocation market in the United States. It covers market size, capacity trends, revenue forecasts, workload segmentation, operational efficiency, and financial metrics across service types, facility architectures, customer segments, end-use sectors, and capacity pipeline stages.United States Data Center Market Overview
- Total Data Center Market Revenue
- Total Installed Power Capacity (MW)
- Colocation Share within Total Data Center Market (%)
United States Data Center Colocation Market Size and Forecast
- Total Installed Capacity
- Total Leased Capacity
- Net Annual Absorption
- Vacancy Rate
- Total Colocation Market Revenue
United States Colocation Market by Service Type
- Retail Colocation
- Wholesale Colocation
United States Colocation Market by Facility Architecture
- Core / Metro Colocation Data Centers
- Edge Colocation Data Centers
United States Colocation Market by Customer Segment
- Hyperscalers
- Large Enterprises
- Mid-Market / Small and Medium Businesses
- Government / Public Sector
United States Artificial Intelligence Colocation Market
- Installed Capacity
- Leased Capacity
- Colocation Market Revenue
- Wholesale Colocation Revenue
United States Non-Artificial Intelligence Colocation Market
- Installed Capacity
- Leased Capacity
- Colocation Market Revenue
- Wholesale Colocation Revenue
United States Colocation Market by End-Use Sector
- Information Technology and IT Enabled Services
- Banking, Financial Services and Insurance
- Telecom
- Retail
- Media, Gaming and Entertainment
- Manufacturing
- Government
- Others
United States Data Center Capacity Pipeline
- Total Operational Capacity
- Total Capacity under Construction
- Planned and Announced Capacity
United States Data Center Operational Efficiency Metrics
- Power Usage Effectiveness (PUE)
- Energy Reuse Factor
- Renewable Energy Factor
- Cooling System Efficiency
- Average Rack Power Density
- Artificial Intelligence vs. Traditional Workload Density
United States Data Center Financial and Investment Metrics
- Capital Expenditure per MW
- Land Acquisition Cost per Acre
- Total Operating Expenditure per MW per Year
- Average Electricity Rate
- Electricity Cost per kW per Month
- Colocation Price per kW per Month
- Wholesale Price per MW per Month
- Revenue per Square Foot
Reasons to Buy
- Comprehensive Colocation Market Sizing and Outlook: Analyze installed and leased capacity, net absorption, vacancy rates, and revenue trends, with clear visibility into colocation’s role within the broader data center ecosystem.
- AI vs. Traditional Workload Demand Insights: Assess the divergence between AI-driven and conventional colocation demand through dedicated capacity and revenue metrics, enabling evaluation of next-generation infrastructure requirements.
- Granular Demand Segmentation: Evaluate demand across service models (retail vs. wholesale), facility architecture (core/metro vs. edge), customer segments, and multiple end-use sectors for a complete view of market distribution.
- Capacity Pipeline and Supply-Demand Dynamics: Track operational, under-construction, and planned capacity to identify supply additions, demand-supply gaps, and future growth opportunities.
- Operational and Financial Performance Benchmarking: Access key efficiency and investment metrics including Power Usage Effectiveness (PUE), rack density, energy efficiency, capital and operating costs, pricing, and revenue benchmarks to support strategic and investment decisions.
Table of Contents
1. About this Report
2. United States Data Center Market Overview, 2021-2030
3. United States Data Center Colocation Market Size and Forecast, 2021-2030
4. United States Colocation Market by Service Type, 2021-2030
5. United States Colocation Market by Facility Architecture, 2021-2030
6. United States Colocation Market by Customer Segment, 2021-2030
7. United States Artificial Intelligence Colocation Market, 2021-2030
8. United States Non-Artificial Intelligence Colocation Market, 2021-2030
9. United States Colocation Market by End-Use Sector, 2021-2030
10. United States Data Center Capacity Pipeline, 2021-2030
11. United States Data Center Operational Efficiency Metrics, 2021-2030
12. United States Data Center Financial and Investment Metrics, 2021-2030
13. Further Reading
List of Tables
List of Figures
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 125 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 46.84 Billion |
| Forecasted Market Value ( USD | $ 72.37 Billion |
| Compound Annual Growth Rate | 11.5% |
| Regions Covered | United States |
