DATA CENTER RADAR · Published Oct 31, 2026 · Sources checked October 31, 2026
Two market research publishers report different estimates for the global data center market in 2025: Fortune Business Insights gives $269.79 billion, while Grand View Research gives $383.8 billion. These are attributed market estimates, not audited totals of money spent constructing data centers. The difference is a reason to inspect definitions and methods; it does not prove that either estimate is correct or that scope alone explains the gap.
For contractors and suppliers, the first task is to identify what a number measures. Market revenue, capital expenditure, announced project value, financing and electrical capacity answer different questions. Keep the source, period, geography and scope attached before using a figure in a pursuit decision.
Compare like quantities
The following figures appeared on the publishers’ report pages checked October 31, 2026. They are historical estimates and forecasts as labeled by each publisher, not realized future spending.
| Publisher and report | Reported 2025 market size | Reported forecast | Published scope information |
|---|---|---|---|
| Fortune Business Insights, 2026–2034 report; page last updated October 12, 2026 | $269.79 billion | $300.64 billion in 2026; $699.13 billion by 2034 | Hardware, DCIM software and services; types include colocation, hyperscale and edge |
| Grand View Research, 2026–2033 report | $383.8 billion | $425.3 billion in 2026; $902.2 billion by 2033 | Software, hardware and services, segmented by facility and other characteristics |
Both pages describe global markets. Their public summaries do not reconcile the difference between their estimates. Definitions, coverage, modeling and revisions can all affect comparisons. Consult the underlying methodology before choosing a figure; do not average the two or describe the gap as a verified scoping adjustment.
The relevant methodology is each publisher’s own. Radar’s research methodology explains Radar records, not the calculation behind these external market estimates.
Separate annual market estimates from cumulative capital needs
McKinsey’s April 28, 2025 analysis models $5.2 trillion in capital expenditure needed for AI data center infrastructure by 2030, alongside $1.5 trillion for traditional IT workloads. Its AI estimate uses projected demand of 156 GW in 2030, including 125 incremental GW added between 2025 and 2030.
Those are modeled investment requirements and capacity-demand assumptions, not capital already raised or a tally of awarded construction contracts. The analysis covers selected parts of the compute infrastructure value chain. Its worldwide, multi-year capital requirement cannot be compared directly with a single year’s market revenue estimate or a U.S. contractor’s addressable package value.
A forecast published in 2025 can be relevant to research conducted in 2026. Cite its original publication date rather than presenting the date you read it as a new forecast.
Project value needs a boundary too
A developer’s announced investment may cover land, buildings, equipment, utility work or several campus phases. Another announcement may describe only one building. Without that boundary, a large dollar figure does not tell you how much construction work remains or which packages are available.
Use a short record for each figure:
| Field | What to record |
|---|---|
| Quantity | Market revenue, planned capex, project value, financing or another defined measure |
| Period and currency | Year or date range, currency, and inflation or conversion basis if relevant |
| Geography | Global, national, regional or a named site |
| Scope | Included assets, equipment, buildings and phases |
| Status | Estimate, forecast, announcement, commitment or documented expenditure |
| Evidence | Original source, source date, date checked and unresolved limits |
This is a suggested research template. A filled row does not establish financing or an opportunity to bid. Check developer and contractor roles and the construction timeline before linking a campus value to your package.
Capacity is a separate measurement
Gigawatts measure power, not dollars. A capacity-demand forecast cannot be converted into construction revenue using an unexplained cost-per-MW multiplier. The result would depend on geography, date, scope, facility design and what equipment the cost includes.
The capacity reading guide explains IT load, total facility demand, utility capacity and campus phases. Keep those definitions visible if a briefing places an investment number beside an MW figure.
Financing totals need the instrument and time window
Capital raised, asset transaction value and capital spent are different observations. A financing total should identify the year and quarter, geography, covered transactions and whether it includes debt, equity or another instrument. An acquisition can change ownership without financing a new building.
A concentrated quarter also does not establish a lasting acceleration. Before extrapolating a funding figure, identify the transactions behind it, the comparison period and any changes in coverage. If the original source or year cannot be established, omit the number.
Local economic effects are not project promises
Daniel Yue and Yiyang Zeng’s working-paper abstract, dated March 30, 2026, reports estimated increases following data center activation of 3.5% in local employment and 5.0% in total wages. Total wages are the aggregate wage bill; a 5.0% increase does not mean the average worker received a 5.0% pay rise.
Georgia Tech’s July 9, 2026 research summary discusses the study and differences between metropolitan and nonmetropolitan counties. July 9 is the summary’s date, not the paper’s original date. These estimated county-level effects do not establish a particular project’s direct jobs, local hiring, individual wages or tax benefits. Check the study’s design, sample and limitations before applying its findings elsewhere.
Where project records fit
Aggregate research helps frame a market. A pursuit decision needs a named site, relevant phase, evidence for its recorded stage, responsible parties and a purchasing route. An announced investment is one clue in that record, not proof that your package is funded or available.
Radar’s coverage statistics distinguish tracked records, including discovery leads, from public previews. Counts describe Radar’s research coverage rather than national totals, unique facilities or open bids. Membership provides available project details and sources; depth varies by record.
Use the bidding watchlist method to turn that evidence into a next action.
Frequently asked questions
Why do investment figures disagree?
They may measure different quantities or use different definitions, models and periods. A disagreement alone does not establish the explanation. Start with the original source and methodology.
Is the 156 GW figure measured capacity?
No. In the McKinsey analysis cited above, it is projected AI-related capacity demand in 2030, used in a model of investment requirements.
Can the employment study predict a named county’s outcome?
No. Its estimates summarize results from a research design and sample. They are not a project-specific employment commitment, and the total-wages result is not an average-pay result.
How should I cite a project investment?
State who announced or reported it, when, which site or phase it covers, what spending it includes and whether it is planned or documented expenditure. Leave unsupported boundaries unresolved.
Sources and research limits
The linked publishers support their own estimates; Radar has not independently replicated their models. The SSRN abstract was available in search results, while direct retrieval returned an access restriction during this review; the linked Georgia Tech summary provides an accessible institutional account. Source details were checked October 31, 2026. The templates and pursuit workflow are editorial guidance.