Size, share, outlook and growth forecast to 2031. Market leadership driven by cloud adoption, AI infrastructure buildout and IoT expansion.
Report Snapshot
The United States holds 40.8 GW of installed data center capacity, roughly 28% of the global total, making it the largest and most liquid data center market in the world. Capacity expansion is being pulled forward by generative AI training and inference workloads, continued enterprise migration to public cloud, and the steady growth of connected devices and edge workloads.
This report sizes the market, forecasts demand through 2031, and analyses the structural constraints, power availability above all, that now decide where and how quickly new capacity can be delivered.
40.8 GW
Installed Capacity
28 %
Of Global Capacity
1.1 %
N. Virginia Vacancy
100 kW
Peak Rack Density
Adoption more than doubled in two years. Each point of adoption converts into compute demand, which is what pulls data center capacity forward.
| Item | % of organizations |
|---|---|
| 2023 | 33 |
| 2024 | 65 |
| 2025 | 79 |
Source: Blackridge Research and Consulting
Hyperscale operators are on track to more than double owner-occupied capacity over five years, adding roughly 39 GW of self-built infrastructure.
| Item | GW |
|---|---|
| 2025 | 31 Installed |
| 2030 | 70 Forecast |
Source: Blackridge Research, US Data Center Market
Transformers, switchgear, generators and cooling systems now carry procurement lead times beyond a year, so developers lean on imports, and the bill rises every year.
| Item | USD billion |
|---|---|
| 2021 | 291 |
| 2022 | 355 |
| 2023 | 363 |
| 2024 | 390 |
| 2025 | 411 |
Source: Blackridge Research and Consulting
Time from interconnection request to energisation. Power availability, not land or fibre, now sets the delivery schedule in every primary market.
| Item | Years |
|---|---|
| Virginia | 10 |
| Chicago | 5 |
| Atlanta | 5 |
| Phoenix | 3 |
| Dallas | 3 |
Source: Blackridge Research, US Data Center Market
Model training and inference are being deployed at a scale the sector has not previously planned for. Rack densities exceed 100 kW in the most advanced facilities, against a 5 to 10 kW legacy norm, which multiplies electricity draw per square foot and forces liquid cooling, new substation capacity, and site selection built around firm power rather than fibre or real estate cost.
Grid interconnection has replaced land and construction cost as the binding constraint. Queue times now run to roughly ten years in Northern Virginia, five years in Chicago and Atlanta, and three years in Phoenix and Dallas. Lead times on transformers, switchgear and generator sets extend beyond twelve months, and community opposition is increasingly decisive at the zoning stage.
~10yr
N. Virginia
~5yr
Chicago
~5yr
Atlanta
~3yr
Phoenix / Dallas
Indicative grid interconnection queue times
Data Center Alley
4.5 GW built capacity against a pipeline near 15 GW, with colocation vacancy at 1.1% in late 2025. The deepest market in the country and the most power constrained.
Fastest Growing
Lowest construction cost per MW of any major US market, a permissive permitting regime and ERCOT interconnection speed. Projected to overtake Virginia on built capacity by 2030.
Silicon Valley
More than 1 GW operational with 4.9% vacancy. Elevated development cost and regulatory friction cap new supply despite persistent latency-driven demand.
01
AWS, Microsoft, Google, Meta. Self-build and long-lease campuses at gigawatt scale.
02
Third-party wholesale and retail providers. Equinix, Digital Realty, CyrusOne and peers.
03
Enterprise on-premise estates and edge deployments serving low-latency workloads.
Prefabricated power and cooling skids compress schedules and shift labour off the critical path.
Secondary and tertiary metros with spare interconnection headroom absorb demand the primaries cannot.
Inference at the edge, private 5G and real-time services pull small-format capacity toward end users.
109 pages across 9 chapters. Expand a chapter to see its sections.
Every number in this report passes through the same seven-step process. Sources are named, assumptions are stated, and estimates are reconciled from both supply and demand sides before publication.
Secondary Research
Discussion Guides
Primary Research
Data Triangulation
Market Engineering
Data Validation
Report Writing
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