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Start with the estimate boundary
“Data-center construction cost” can mean several different things. Write the boundary at the top of the estimate before entering a single rate. Otherwise, two apparently conflicting prices may simply cover different work.
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| Estimate boundary | What it generally represents | Questions to answer |
|---|---|---|
| Shell and core | Base building, structure and core infrastructure needed to create the facility, normally before a tenant’s technology installation. | Are site works, utility connection, design, permitting, commissioning or owner costs included? |
| Full construction | Shell and core plus project-specific electrical, mechanical, controls, security, interiors and commissioning packages. | Which systems are contractor-furnished and which are supplied by the tenant? |
| Tenant fit-out | Work that equips a completed building for a particular operator or workload. | Does it include racks, network systems, batteries, servers, accelerators and other active IT equipment? |
| Total development cost | All-in investment view, potentially including land, financing, taxes, professional fees, owner costs and contingency. | Which costs are one-time, recurring, refundable or financed? |
JLL’s commonly cited benchmark is shell and core. Its scope excludes land and active IT equipment, so those items must appear as separate lines in an investment model. Do not label the benchmark a complete project budget.
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State inclusions and exclusions in plain language
- Land purchase or lease and site acquisition costs
- Utility-extension, substation and grid-connection work
- Building and site construction
- Electrical and mechanical plant
- Controls, monitoring, security and fire protection
- Tenant fit-out, racks and active IT equipment
- Design, engineering, permits, testing and commissioning
- Financing, taxes, insurance, owner costs and contingency
Mark every line as included, excluded or allowance. If a source does not state whether a cost is included, record it as not stated rather than silently treating it as zero.
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Fix the capacity and facility model
Use IT capacity in megawatts as the primary basis, not the utility service size or the ultimate site entitlement. Record whether the number is current commissioned IT load, a phase, or a future build-out. A site with a 100 MW utility reservation may initially contain only a 20 MW data hall; those are different estimating bases.
Also identify the facility model:
- Tenant model: single-tenant, colocation, wholesale or a mixed campus. The number and type of tenant interfaces affect rooms, metering, security and fit-out.
- Cooling: air-cooled, liquid-cooled or a hybrid. Liquid cooling can change heat-rejection equipment, distribution, redundancy and floor loading.
- Building form: single-story or multistory. Structure, vertical distribution, lifting, fire strategy and construction logistics vary substantially.
- Workload: conventional enterprise/cloud IT or high-density AI computing. The workload determines rack density, power quality, cooling distribution and technology fit-out.
- Resiliency and phasing: the required redundancy level, concurrent maintainability, fault tolerance and number of construction phases.
JLL’s comparable benchmark assumes a single-tenant, 50 MW, air-cooled data center. If your project differs, treat the benchmark as a starting reference and document each adjustment rather than presenting it as a directly comparable quote.
Use a dated, geographic benchmark
JLL reports that the global average shell-and-core cost rose from $7.7 million per MW in 2020 to $10.7 million per MW in 2025, a stated 7% compound annual growth rate. Its outlook forecasts $11.3 million per MW for 2026, a stated 6% increase. These figures are tied to the report’s benchmark assumptions, not to every data-center configuration.
| Reference | Value | Scope and qualification |
|---|---|---|
| JLL, 2020 | $7.7 million/MW | Global shell-and-core benchmark in the time series; assumptions are those described in the JLL outlook. |
| JLL, 2025 | $10.7 million/MW | Global average shell-and-core benchmark; land and active IT equipment excluded. |
| JLL, 2026 forecast | $11.3 million/MW | Forecast global shell-and-core figure under the 50 MW, single-tenant, air-cooled comparison basis. |
| Turner & Townsend, 2025 | 5.5% average inflation | Average 2025 cost inflation for traditional data centers across 52 markets. |
| Turner & Townsend, 2025 | $15.2/W Tokyo; $14.5/W Singapore; $14.2/W Zurich | Market cost-index values. Compare only with the same index scope, currency basis and date. |
For the JLL report and its assumptions, see JLL’s 2026 Global Data Center Outlook. Turner & Townsend’s market figures and inflation commentary are in its 2025 AI data-center construction analysis.
Do not mix incompatible rates
A $/W index, a shell-and-core $/MW benchmark and a turnkey development budget can all be valid while measuring different scopes. Before comparing them, match:
- Country, city and local labor and utility market
- Price date, escalation convention and currency
- IT MW and whether capacity is installed, ultimate or phased
- Shell/core, full construction, fit-out or all-in scope
- Air, liquid or hybrid cooling
- Single-story or multistory configuration
- Land, utility connection and active IT inclusion
JLL describes construction costs as relatively uniform across the Americas and EMEA while showing significant variation among developed and emerging Asia-Pacific markets. The Cushman & Wakefield 2025 APAC construction-cost guide separates land from construction and presents low, medium and high scenarios by location and facility configuration. Use those scenarios as regional comparisons, not as a replacement for a local estimate.
Calculate a screening figure
Once the basis is fixed, calculate a transparent screening total:
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Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstallBenchmark-derived shell-and-core screening cost = selected cost per MW × planned IT MW
Label the result exactly that way. It is not a complete budget until excluded and project-specific items are added.
Example: 50 MW facility
Using JLL’s 2026 forecast under its stated benchmark assumptions:
50 MW × $11.3 million/MW = $565 million shell-and-core screening cost.
The $565 million does not automatically include land, active IT equipment, financing, taxes, owner costs, or a project-specific contingency. It also assumes the facility is comparable to the cited single-tenant, air-cooled, 50 MW model.
Example: 10 MW facility
At the same benchmark rate, a 10 MW screening calculation is:
10 MW × $11.3 million/MW = $113 million shell-and-core screening cost.
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That multiplication is useful for site selection and early investment gates. It should be replaced by a location-specific estimate when the design, utility strategy and procurement plan become defined.
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Published premiums are adjustments to a stated basis. First check whether your selected local benchmark already includes the feature; otherwise you can count the same cost twice.
Liquid cooling
JLL states a 10% cost premium for liquid-cooled facilities relative to its benchmark. If the applicable shell-and-core rate is $11.3 million/MW and the source rate does not already reflect liquid cooling, the mechanical portion can be screened as:
$11.3 million/MW × 1.10 = $12.43 million/MW, or $621.5 million for 50 MW before adding excluded costs.
This is a benchmark adjustment, not a universal liquid-cooling price. Density, coolant distribution, heat-rejection architecture, redundancy and retrofit requirements still need design-level pricing.
Multistory construction in the Americas
JLL reports that multistory facilities in the Americas add 20% to construction costs under its comparison basis. If a local rate already represents a multistory project, do not add another 20% merely because the published benchmark mentions it.
If both liquid cooling and the multistory condition are genuinely absent from the selected base rate, show the sequence and assumption. Applying both to $11.3 million/MW gives $11.3 × 1.10 × 1.20 = $14.916 million/MW, or approximately $745.8 million for 50 MW. This compounded illustration is valid only when both adjustments are independent and neither is embedded in the underlying rate; a quantity surveyor should confirm that treatment.
AI tenant technology
JLL cites up to $25 million/MW for AI infrastructure tenant technology fit-out. That is an upper contextual figure, not a standard allowance and not part of the $11.3 million/MW shell-and-core forecast. Add a separately defined AI fit-out budget only after specifying accelerator type, rack density, network, storage, power distribution and cooling scope.
Turner & Townsend reports a 7–10% US construction-cost premium for AI data centers versus traditional projects of similar IT capacity. This comparison is not interchangeable with JLL’s “up to $25 million/MW” tenant-technology figure: one describes a construction premium in the United States, while the other is a contextual fit-out amount. Keep them in separate model lines and verify scope before using either.
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After the benchmark screen, replace the single rate with a work-breakdown structure. Keep each package tied to a quantity, unit rate, source date and inclusion status.
- Site and civil works: survey, demolition, grading, drainage, roads, security perimeter and site utilities. Identify abnormal ground conditions and off-site utility extensions separately.
- Structure and envelope: foundations, frame, slabs, roof, walls, loading areas and weatherproofing. A multistory option should have its own structural and logistics estimate.
- Electrical infrastructure: utility intake, substations, switchgear, transformers, generators, fuel systems, UPS, batteries, busways, grounding and distribution. State redundancy and maintainability requirements.
- Mechanical infrastructure: chillers or other heat-rejection equipment, pumps, cooling towers or dry coolers, air handlers, piping, controls and liquid-cooling distribution where applicable.
- Fire, life safety and security: detection, suppression, compartmentation, access control, surveillance and monitoring systems.
- Controls and commissioning: building-management systems, electrical monitoring, integrated systems testing, witnessing, documentation and operator training.
- Interior and tenant works: data halls, white-space fit-out, cages, racks, structured cabling and workload-specific technology. Keep active IT hardware separate from construction.
- Professional and owner costs: architecture, engineering, project management, legal, permitting, insurance, commissioning authority and owner’s staff.
- Escalation, risk and contingency: model as explicit allowances with a stated basis. The published sources do not establish a universal contingency percentage.
For every package, record the quantity, currency, price date, procurement route, quotation validity and whether tax is included. A cost plan that cannot show those fields is difficult to update when design or market conditions change.
Account for schedule, escalation and supply-chain risk
Schedule is a cost assumption even when it is not a line-item percentage. JLL reports an 18-month average global build time for a 50 MW data center, an average equipment lead time of 33 weeks, and says 57% of projects experienced a delay of three months or more in 2025. These figures provide risk context; they do not establish a universal cost multiplier.
Link the price date to the programme
- State the estimate date and the date on which major packages are expected to be bought.
- Separate current-price cost from escalation to the anticipated award date.
- Identify long-lead equipment—such as transformers, generators, switchgear, cooling plant and controls—and test delivery dates before fixing the construction sequence.
- Run at least a base and delayed-delivery scenario so the effect of extended preliminaries, storage, redesign or resequencing is visible.
Turner & Townsend’s 5.5% average 2025 inflation figure for traditional data centers across 52 markets can inform a dated escalation discussion, but it should not be applied automatically to every country, package or future year.
Validate the local number before approval
A benchmark is appropriate for screening sites and testing order-of-magnitude feasibility. Investment approval, procurement and construction commitments require local validation by a cost consultant or quantity surveyor familiar with data-center work.
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Provide the validator with a complete basis
- Site location, ownership status and geotechnical information
- IT MW by phase and target energization dates
- Tenant model, rack-density assumptions and resiliency level
- Cooling concept and whether liquid cooling is primary, secondary or future-ready
- Single-story or multistory concept and floor-loading requirements
- Utility capacity, connection scope and on-site generation strategy
- Estimate boundary, currency, tax treatment and price date
- Procurement strategy, package lead times and known supplier constraints
Ask for a written reconciliation between the benchmark and the local estimate. The reconciliation should explain every material variance rather than simply replacing one $/MW figure with another.
Compare competing estimates without being misled
| Check | Question | Warning sign |
|---|---|---|
| Geography | Are both projects in the same labor, utility and regulatory market? | A global average is being presented as a city-specific quote. |
| Capacity | Is MW measured as installed IT load, phase capacity or ultimate campus capacity? | The denominator changes between proposals. |
| Scope | Are land, utility connection, fit-out and active IT treated identically? | One estimate is shell-and-core while another is turnkey. |
| Cooling | Are air and liquid systems priced on the same basis? | A published 10% premium is added to a rate that already includes liquid cooling. |
| Building form | Are both single-story, or is one multistory in the Americas? | A 20% multistory adjustment is applied twice. |
| Price date | Are currency, inflation and quotation dates aligned? | Old quotes are compared with current benchmarks without escalation. |
| Scenario range | Does the estimate show low, base and high cases where uncertainty is material? | A single precise number implies certainty the inputs do not support. |
Common estimating mistakes and fixes
Using a per-MW number as a turnkey price
Fix: label the rate as shell-and-core, then add land, active IT, professional fees, financing, taxes, commissioning and explicit risk allowances as separate lines.
Comparing $/W and $/MW without checking scope
Fix: retain the original unit and convert only after confirming the index definition, currency, geography and inclusion rules. Turner & Townsend’s Tokyo, Singapore and Zurich figures are cost-index values; they are not automatically equivalent to JLL’s global shell-and-core average.
Applying every premium in every project
Fix: create an adjustment register. For each premium, state the base rate, the feature that triggers it, the percentage or amount, and whether the feature is already embedded.
Hiding uncertainty inside one contingency
Fix: distinguish design development, market escalation, abnormal site conditions, utility risk and schedule delay. The available published figures do not support one universal contingency percentage.
Ignoring the workload while estimating the building
Fix: separate traditional IT, high-density AI and future-ready provisions. AI tenant technology can reach up to $25 million/MW in JLL’s contextual discussion, so it cannot be treated as a minor rack allowance.
Forgetting that schedule changes cost
Fix: map long-lead equipment and test delayed energization, resequencing and extended site overheads before approving the baseline.
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A practical estimate checklist
- Scope boundary is written and every major inclusion or exclusion is marked.
- IT MW, phase, tenant model, cooling and building form are defined.
- Benchmark publisher, geography, currency and price year are recorded.
- JLL’s $10.7 million/MW 2025 figure or $11.3 million/MW 2026 forecast is used only under comparable assumptions.
- Land and active IT equipment are shown outside the JLL shell-and-core benchmark.
- Liquid-cooling and multistory adjustments are checked for double counting.
- AI fit-out is modeled separately from base construction.
- Cost packages have quantities, rates, dates and quotation status.
- Utility connection, taxes, financing, professional fees and owner costs are visible.
- Escalation and schedule scenarios reflect the planned procurement dates.
- A local cost consultant or quantity surveyor has reconciled the benchmark before investment approval or commitment.
What the final number should mean
The most useful data-center estimate is not the one with the most decimal places; it is the one whose scope and assumptions can be audited. Use a dated per-MW benchmark for an early screen, convert it into a package-level cost plan, and show excluded items and scenario risks separately. That approach lets decision-makers see whether a change is caused by geography, cooling, building form, workload, schedule or simply a different definition of “construction cost.”
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