How to Estimate the Cost of Building a Data Center

Start with a defined scope, not a headline price. A data-center cost-per-megawatt figure is useful only when you state the market, price date, capacity denominator, cooling and building form, and exactly what the number includes. JLL’s 2026 global benchmark is $11.3 million per MW for 2026, but it covers shell and core for a single-tenant, 50 MW, air-cooled facility and excludes land and active IT equipment. A modern greenfield project in the United States or Canada can benchmark at $17.6 million per MW under Cushman & Wakefield’s different scope, which also excludes chips and GPUs.

The practical way to prepare a preliminary capital budget is to use a matching benchmark as a cross-check, then price the actual site, utility connection, schedule, technical brief, tenant fit-out and uncertainty. The guide below shows how to do that without turning unlike numbers into a misleading “all-in” rate.

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What a data-center cost-per-MW estimate actually tells you

“Cost per MW” is a ratio, not a complete budget. The numerator might mean shell-and-core construction, a greenfield development, or a wider owner-funded program. The denominator might be IT load, utility service capacity, gross facility demand, or another engineering measure. Those choices can produce materially different results for the same site.

Every preliminary estimate should therefore place these items next to the figure:

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• Geography and market: city, country and any local labor, land or utility conditions.
• Price vintage: the month or year to which prices are current, plus the escalation assumption for later spending.
• Capacity basis: IT capacity, utility capacity, critical facility load or another explicitly defined denominator.
• Facility form: single-story or multistory, air-cooled or liquid-cooled, new build or conversion, and the planned redundancy and resilience level.
• Workload and density: conventional enterprise demand, high-density compute or an AI deployment that needs a substantial tenant technology fit-out.
• Cost boundary: what is included, excluded, supplied by a utility, paid by a tenant or still unpriced.

Without those labels, two apparently precise figures can be incomparable. A benchmark is best used to test whether an early concept is in the right order of magnitude, not as a bid or a funding commitment.

Current benchmarks and their boundaries

The following figures are useful reference points because their publishers state important assumptions. They are not interchangeable totals.

JLL’s series implies a 7% compound annual growth rate from 2020 to 2025. That trend is a time-series observation from JLL’s stated benchmark, not a guaranteed escalation rate for a particular project.

JLL market ranges for 2026

JLL’s listed 2026 market estimates range from $6 million per MW in Mumbai to $18 million per MW in Tokyo. Each is a shell-and-core estimate on the same stated 50 MW, single-tenant, air-cooled basis, with land and active IT excluded.

These ranges should not be expanded into a full project budget. In particular, a low market benchmark does not mean that land, interconnection, taxes, tenant equipment or schedule risk will be low.

Step 1: Define the project before multiplying anything

Write a one-page basis of estimate before selecting a rate. The document should be specific enough that a cost consultant, utility or contractor can identify what is being priced.

Record the location and delivery strategy

• City, country and candidate parcel or powered-land area.
• New greenfield build, expansion, conversion or leased shell.
• Target energization date, construction start and required operating phases.
• Whether the owner or a tenant funds the building, utility work, fit-out and equipment.

Define the capacity denominator

State whether “MW” means planned IT load, utility service capacity, gross facility demand, critical load or another measure. Do not silently treat these as equivalent. If the project uses a utility-capacity figure but the benchmark uses IT load, obtain the engineering relationship between them and show the conversion assumption. If that relationship is not yet known, keep both figures visible instead of forcing a single rate.

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Describe the technical brief

• Number of phases and the MW delivered in each phase.
• Redundancy and resilience target, including any requirement for concurrently maintainable or fault-tolerant systems.
• Rack density and the share of high-density or liquid-cooled halls.
• Air-cooled, direct liquid-cooled or hybrid cooling concept.
• Single-story, multistory or a combination.
• Intended workload, including whether AI infrastructure is planned.
• Security, office, storage, loading, fuel and other owner requirements that affect the building.

At concept stage, these descriptions can be ranges. The important point is to expose them so that a later estimate can change one assumption at a time.

Step 2: Select a benchmark with matching scope

Use JLL’s shell-and-core figure as a global early construction comparison when the proposed facility resembles its stated 50 MW, single-tenant, air-cooled basis. Use Cushman & Wakefield’s $17.6 million-per-MW figure as a North American greenfield development cross-check for a modern facility, while preserving its different scope and its exclusion of chips and GPUs. Use Turner & Townsend’s index as an additional location check where its detailed market data and definitions are available.

Do not average these sources into a synthetic industry price. A mathematical average would hide the fact that the geography, development boundary and capacity assumptions differ. Instead, create a comparison note with four columns:

1. Publisher’s stated figure and price year.
2. Capacity basis and facility assumptions.
3. Included and excluded work.
4. Reason the benchmark is or is not comparable with the project.

If no benchmark matches the project’s scope, retain the nearest reference as a sanity check and mark the unmatched items for local pricing.

Step 3: Build an explicit cost map

A preliminary capital budget should show the categories that can move independently. At minimum, create the following lines and assign a status to each: included, excluded, utility-supplied, tenant-funded or unpriced.

JLL explicitly excludes land and active IT from its shell-and-core benchmark. Cushman & Wakefield identifies power infrastructure and contingencies as major parts of a greenfield development. Those facts support a visible cost map, but they do not establish a universal percentage allocation for every project category.

How much can design choices change the estimate?

Liquid cooling

JLL states that liquid-cooled facilities carry a 10% cost premium in the context of its benchmark. Treat this as publisher guidance for that benchmark, not as a universal multiplier. Confirm whether the premium applies to the whole shell-and-core scope or only affected mechanical and distribution packages, and then price the actual proportion of liquid-cooled capacity.

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Multistory construction

JLL states that multistory construction in the Americas adds 20% to construction costs in its benchmark context. The adjustment should not be applied automatically to every project: height, structural grid, logistics, seismic design, site constraints and the reference scope all matter. Obtain a structural concept and a local contractor check before carrying the adjustment into a funding case.

AI and high-density tenant fit-out

JLL says tenant technology fit-out for AI infrastructure can reach $25 million per MW. This is separate from its shell-and-core number and can exceed the building cost in a high-density deployment. Treat it as a technology package with its own equipment list, delivery schedule, power-distribution requirements, cooling interfaces and commissioning plan. Do not add it silently to a construction benchmark.

How to price the actual site and schedule

Benchmark selection is only the first pass. A site-specific budget needs dated local evidence because the largest risks may sit outside the building rate.

Confirm power availability

1. Request the utility’s written indication of available capacity, point of connection, required studies, customer-funded works and target energization date.
2. Separate utility-owned infrastructure from owner-funded substations, feeders, transformers, switchgear and on-site generation.
3. Record whether capacity is firm, conditional, phased or dependent on network upgrades.
4. Price temporary power and schedule exposure if permanent service will not be available for testing or commissioning.

Power scarcity and powered-land premiums can change both land value and schedule. A parcel with a low purchase price is not economical if interconnection work or waiting time defeats the operating plan.

Obtain local construction and labor input

• Ask a local contractor or cost consultant for a concept estimate tied to drawings, equipment assumptions and a stated price date.
• Identify skilled-trade availability, wage assumptions, working-hour restrictions and local productivity.
• Request budget quotes for long-lead electrical and mechanical equipment, with validity periods and escalation language.
• Test material inflation and currency exposure where equipment is imported.

Cushman & Wakefield identifies skilled-trade shortages, long equipment lead times, wage increases and material inflation as active constraints. Carry them as schedule and cost risks rather than hiding them in an arbitrary unit-rate uplift.

Align the estimate with the procurement schedule

Prepare a procurement register showing required-by dates for transformers, switchgear, generators, cooling equipment, controls, structural steel and tenant systems. For each item, record the quote date, lead time, manufacturing location, deposits, testing requirements and the consequence of late delivery. A price that is valid for 30 days is not a firm budget for a two-year program.

Worked examples: use the math without overstating precision

Example: a shell-and-core starting point

Suppose a concept calls for 50 MW on a basis comparable to JLL’s 2026 global air-cooled, single-tenant benchmark. Multiplying 50 MW by $11.3 million per MW produces $565 million as an indicative shell-and-core starting point. It is not an all-in project budget: land, active IT and other unpriced categories remain outside that arithmetic.

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Example: a market-range sensitivity

For the same 50 MW denominator, JLL’s published range would produce approximately $300 million at the $6 million-per-MW Mumbai reference and $900 million at the $18 million-per-MW Tokyo reference, before the exclusions stated by JLL. The spread demonstrates why geography and scope must accompany the number; it is not a quotation for either site.

Example: separating AI fit-out

If a project has 50 MW of AI tenant capacity and the tenant fit-out reaches JLL’s stated upper figure of $25 million per MW, the technology package could be as much as $1.25 billion. Added to the illustrative $565 million shell-and-core starting point, the arithmetic reaches $1.815 billion before land, utility work, owner costs, contingency and other exclusions. The calculation is a sensitivity case, not a prediction: actual equipment mix, density, purchasing strategy and the share of AI capacity determine the result.

Contingency, escalation and uncertainty

Keep uncertainty visible in three separate places:

• Base estimate: the priced scope at a stated date.
• Escalation: the time and market movement between that date and each expected spend.
• Contingency: an allowance for identified design, quantity, site, schedule and procurement uncertainty.

Cushman & Wakefield reports contingencies as the second-largest category in its average greenfield development cost and reports power infrastructure at an average 21% of total greenfield development cost. That 21% is a publisher-reported average for its stated greenfield context; it is not a default allocation for every project. The available benchmarks do not establish one universal contingency percentage, so set contingency through a risk register and update it as design maturity improves.

Use a risk register rather than a hidden buffer

1. List each unresolved item, such as geotechnical conditions, utility scope, permitting, equipment lead time or tenant specification.
2. Assign an owner, probability, cost effect and schedule effect.
3. State whether the item is included in the base estimate, an allowance or contingency.
4. Remove or reduce the allowance when a quote, design decision or utility commitment resolves the risk.

This approach lets decision-makers see why the budget changes instead of treating every revision as unexplained cost growth.

How to compare two data-center cost estimates

Before comparing figures, normalize the following axes:

If any answer is unknown, label the comparison “not directly comparable” and identify the missing information. A precise-looking conversion is less useful than an explicit limitation.

A practical preliminary-budget workflow

1. Write the basis of estimate. Capture location, phase, MW definition, facility form, cooling, density, resilience, workload, schedule and ownership boundaries.
2. Choose one primary benchmark. Select the source whose geography and scope are closest; retain other publishers as cross-checks, not blended averages.
3. Build the cost map. Separate land, site work, power, shell and core, cooling, tenant fit-out, owner costs, escalation and contingency.
4. Mark every boundary. For each line, record included, excluded, utility-supplied, tenant-funded or unpriced.
5. Apply only documented adjustments. Consider JLL’s stated liquid-cooling and multistory guidance only when the project matches its context, and carry AI technology separately.
6. Request local evidence. Obtain utility correspondence, land terms, civil information, contractor input and budgetary equipment quotations.
7. Model phases and dates. Allocate capacity and spending by phase, then align escalation and long-lead procurement with the schedule.
8. Run sensitivities. Test power-delay, land, cooling, density, multistory and tenant-fit-out cases without changing the denominator silently.
9. Publish the estimate with an update date. Show base cost, assumptions, exclusions, escalation, contingency and the next information needed to improve accuracy.

Common estimating mistakes and their fixes

Calling a shell-and-core rate “all-in”

Why it fails: land and active IT may be excluded, while utility and owner costs remain unpriced.
Fix: use a cost map and title the figure by its boundary.

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Dividing by the wrong MW

Why it fails: utility capacity, facility demand and IT load are not automatically equivalent.
Fix: define the denominator and show any engineering conversion.

Averaging incompatible benchmarks

Why it fails: a global shell-and-core figure and a North American greenfield figure measure different things.
Fix: keep separate scenarios and explain the scope difference.

Applying a universal percentage breakdown

Why it fails: the available sources identify major categories but do not support one line-item allocation for every project.
Fix: obtain project-specific quotes and retain allowances until scope is defined.

Leaving power until the end

Why it fails: interconnection, network upgrades and energization dates can determine whether the site works at all.
Fix: make the utility scope an early gated deliverable.

Hiding AI equipment in the building rate

Why it fails: tenant technology can be many times the shell-and-core cost and may have a different buyer and schedule.
Fix: create a separate IT fit-out package with its own equipment list and commissioning plan.

Using an old quote as current money

Why it fails: labor, materials, equipment lead times and currency can move during a long program.
Fix: record quote validity, price date and escalation for every major package.

What to hand to a cost consultant or development team

A useful request for proposal should include the technical brief, site information, utility correspondence, phasing plan and the cost boundary you want reported. Ask for:

• A base estimate with quantities or measurable scope behind each major line.
• Separate totals for land, utility and power infrastructure, shell and core, mechanical and cooling, tenant fit-out, owner costs, escalation and contingency.
• A statement of the capacity denominator and any conversion assumptions.
• Assumptions, exclusions, allowances and items supplied by others.
• Low, base and high sensitivities for unresolved site, power, schedule and workload risks.
• A price date, currency, validity period and update mechanism.
• A procurement and commissioning schedule linked to the cash-flow forecast.

John McWilliams, Head of Data Center Insights at Cushman & Wakefield, summarized the location challenge on September 3, 2026: “The data center industry is entering a new phase where access to power, land, and skilled labor are increasingly determining where growth can occur.” A budget that prices only the building misses those constraints.

The decision rule for an early capital budget

Use a cost-per-MW figure to test a concept, not to approve construction. The estimate is decision-ready only when a reader can answer four questions without guessing:

1. What exactly does the MW denominator measure?
2. Which geography, price date and benchmark scope produced the rate?
3. Which costs—especially land, power, IT and contingency—are outside it?
4. What site-specific quotes or commitments will replace the allowances next?

When those answers are documented, the preliminary budget becomes a traceable model that can be updated as the utility commits capacity, design fixes the cooling and density, tenants define their equipment and contractors return current prices.

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