Construction Outlook
Data Center Construction
Data center construction is one of the most technically demanding and schedule-sensitive project types in the built environment today. For general contractors, winning and delivering these projects requires understanding a category where the structural decisions you make on day one directly impact whether your client goes live on time, or not.
In this article, we’ll cover everything GCs need to know: what data centers are, how they are classified, what systems you are responsible for building, how the construction process unfolds phase by phase, where concrete creates hidden schedule risk, and what leading contractors are doing to stay ahead.
What Is a Data Center?
A data center is a purpose-built facility that houses the servers, networking equipment, power systems, and cooling infrastructure required to store, process, and distribute digital data at scale. Unlike conventional commercial or industrial buildings, data centers are engineered to operate continuously, 24 hours a day, 365 days a year, with zero tolerance for unplanned downtime.
What makes them structurally and operationally distinct from other construction types comes down to three factors:
- Power density. A typical office building consumes roughly 10–20 watts per square foot. A modern data center can consume 150–200 watts per square foot, and AI-optimized facilities are pushing well beyond that.
- Redundancy requirements. All critical systems, such as power, cooling, network must have backup systems designed into the building from the start. A failure in any single system cannot be allowed to take the facility offline. This redundancy is not optional; it is specified contractually through tier classifications and enforced through commissioning.
- The cost of delay. A commercial building delayed by two weeks is an inconvenience. A data center delayed by two weeks can represent millions of dollars in lost revenue for the owner, contractual penalties for the GC, and cascading downstream consequences for the owner’s customers. Understanding this pressure is the first thing a GC must internalize before pursuing this work.
Turn Risks into Results.
Hear from concrete experts on how to turn problems into data-driven solutions to put costs back into your pockets and speed up your construction processes!
Types of Data Centers
Not all data centers are the same build. The project type determines your scope, your schedule pressure, your redundancy obligations, and ultimately, who you are accountable to. There are four primary categories GCs encounter:
- Hyperscale Data Centers are built and operated by large technology companies: cloud providers, AI platforms, and social media infrastructure operators, for their own use. These projects typically range from 20 to 100+ megawatts (MW) of IT load, often involve private substations, custom cooling configurations, and multi-phase campus delivery. The GC relationship is directly with the owner or a development manager, and performance expectations are extremely high. Hyperscale owners have sophisticated in-house teams who know exactly what delivery should look like.
- Colocation (Colo) Facilities are multi-tenant buildings where the owner leases rack space, cabinets, or suites to different clients. The GC builds the core and shell: the power infrastructure, cooling plant, white space, and security envelope, to a performance specification set by the owner, who then fits out individual tenant spaces separately. Load ranges typically run from 1 to 20 MW. These projects require tight coordination between base-build scopes and future tenant fit-out allowances.
- Enterprise Data Centers are built by a single organization for its own internal IT operations such as banks, hospitals, government agencies, and large manufacturers are common clients. They are generally smaller (under 10 MW) but carry stringent compliance requirements and internal security standards that shape how the building is designed and constructed.
- Edge Data Centers are small, distributed facilities located close to end users to reduce network latency. They are often prefabricated or modular and deployed quickly in locations that would not support larger builds. While individually smaller, GCs are increasingly managing programs of multiple edge deployments simultaneously.
Understanding Tier Classifications
The Uptime Institute’s tier classification system is the industry standard for defining the reliability and redundancy level of a data center. As a GC, the tier level assigned to a project directly determines your scope and the complexity of what you build:
The cost difference between tiers is significant: a Tier IV facility can cost 25–40% more than a Tier III build due to redundancy requirements alone. A Tier IV facility’s construction can require up to 70% more infrastructure investment compared to a Tier II facility. Understanding which tier you are building before finalizing your bid is non-negotiable.
The Five Core Systems GCs Are Responsible For
Regardless of data center type or tier, five systems form the backbone of every build. For a GC, each system is both a scope of work and a risk category. Failures in any of either during construction or at commissioning will delay handover and damage your relationship with the owner.
Power Systems are the largest single cost component, typically representing 40–45% of total construction expenditure. Your scope includes utility feeds and substation connections, medium-voltage switchgear, transformers, generators, uninterruptible power supply (UPS) systems, and power distribution units (PDUs) down to the rack level. Long lead times on key electrical equipment: switchgear prices have risen approximately 50% since 2021, generators approximately 45%, and transformers approximately 44%, mean procurement must begin well before structural completion.
Cooling Infrastructure is the second major system and is growing in complexity as AI workloads drive rack power densities from traditional levels of 4-10 kW per rack to 40–120 kW per rack. Your scope includes chilled water plants, computer room air handlers (CRAHs), containment systems, and increasingly for high-density AI facilities liquid cooling distribution. The cooling system is deeply interconnected with the structural design: ceiling heights, floor loading, and MEP routing must all be resolved at the design stage, not on site.
Structure and Shell is the GC’s most direct domain and the one most often underestimated as a schedule risk. Data centers are typically built with reinforced concrete structures, raised floor systems, and steel-framed building envelopes. The structural phase sets the pace for everything that follows. Every day of delay in structural completion pushes back MEP installation, commissioning, and handover. How concrete performs during curing and how quickly GCs can make evidence-based decisions about when to proceed to the next phase are some of the most controllable variables on the critical path.
Network and Fiber Infrastructure includes the internal cable pathways, cable trays, conduit systems, and termination rooms that carry data between servers and out to the wider network. While typically installed by specialist subcontractors, the GC is responsible for ensuring that structural and MEP work does not compromise cable routing corridors, a common source of rework on fast-track projects.
Fire Protection and Physical Security in data centers are not standard commercial systems. Suppression systems must protect sensitive electronics without damaging them, typically using clean agent or inert gas systems in server areas rather than sprinkler heads. Physical security layers, including perimeter fencing, access-controlled vestibules, CCTV, and biometric systems must be integrated with structural elements during the build, not retrofitted afterward.
The Data Center Construction Process: Phase by Phase
Data center construction follows a structured sequence, but the timeline pressures and owner expectations at each phase are different from conventional projects. Understanding where delays typically originate, and which are within the GC’s control, is essential for building a credible schedule and protecting it.
The typical timeline from concept to handover spans three to six years for large-scale projects, with construction alone running twelve to thirty-six months depending on scale. The phases are:
Phase 1 – Site Selection and Permitting (6-18 months)
The owner selects the site based on power grid access, fiber connectivity, water availability, and zoning. For GCs, engagement at this phase, even informally, pays dividends. According to FMP, sites that look cost-effective can trigger expensive off-site utility work, road upgrades, or stormwater infrastructure once engineering begins. Permitting timelines vary significantly by jurisdiction and are becoming more contentious as data centers face increased scrutiny over land use, power demand, and water consumption.
Phase 2 – Design and Engineering (3-6 months)
Mechanical, electrical, plumbing (MEP), structural, and civil designs are developed in parallel. For the GC, the critical decisions made here: Tier level, power density targets, cooling architecture, lock in your scope and your risk profile for the rest of the project. Changes after this phase are expensive. GCs who engage early with designers on constructability, formwork sequencing, and MEP coordination avoid the majority of field conflicts that cause delays later.
Phase 3 – Procurement (6-18 months)
Long-lead equipment such as generators, transformers, switchgear, UPS systems, chillers must be ordered before structural completion. This is one of the most common sources of delays that GCs absorb but did not create: equipment ordered late by owners or procurement teams arrives after the building is ready, leaving trades waiting. Experienced GCs proactively flag procurement timelines during preconstruction and document them clearly. Substation construction and grid interconnection alone typically take 18–24 months and cannot be accelerated regardless of available budget.
Phase 4 – Civil and Structural Construction (6-12 months)
This is the GC’s core delivery phase. Site preparation, earthworks, foundation systems, structural concrete, building envelope, and raised floor systems are all executed here. The structural phase is the most consequential part of the schedule, it sets the sequence for every trade that follows, and concrete curing decisions are often the single most controllable delay factor within it.
Phase 5 – MEP Installation (6-12 months)
Mechanical, electrical, and plumbing trades work in sequence, and often in conflict. Trade sequencing is the most common source of rework and delay in this phase. GCs who have invested in BIM coordination and clash detection during design phases arrive at MEP installation with far fewer field conflicts. The installation of cooling infrastructure is especially sensitive: it must be coordinated with the structural floor loading, ceiling heights, and equipment pad locations established during Phase 4.
Phase 6 – Commissioning and Testing (3-6 months)
Commissioning is where the data center proves it can perform to specification. This includes integrated systems testing, load testing, failover simulations, and power outage drills. Surprises discovered during commissioning are the most expensive on the entire project; retrofitting a system fault at this stage can cost multiples of what it would have cost to resolve during design or construction. GCs who maintain detailed documentation throughout construction: concrete strength records, MEP installation verification, testing logs, arrive at commissioning with a defensible record rather than a liability exposure.
Phase 7 – Handover (1-3 months)
Compliance audits, certification inspections, and operational readiness reviews precede handover. GCs who have managed documentation rigorously throughout the project including concrete pour records, material certifications, and commissioning test results, can move through this phase quickly. Those who have not face delays that are entirely avoidable.
Explore the Complete Guide to Fast-Track Projects.
Learn how to move faster on your construction schedule with real-time temperature monitoring!
Concrete's Hidden Role in Your Schedule
Concrete is not glamorous. It is not the most visible element of a data center, and it does not appear in the owner’s operational specifications. But it is the element that GCs most consistently underestimate as a schedule driver and the one where the gap between traditional practice and modern monitoring is most consequential.
Why Data Centers Create Demanding Concrete Conditions
Data center structural systems typically involve several concrete scenarios that are more demanding than standard commercial construction:
- Mass concrete foundations and mat slabs. The combination of heavy electrical equipment, generator sets, and cooling plant creates floor loading requirements that necessitate thick, heavily reinforced slabs and deep foundations. In mass concrete elements which are generally defined as those with a minimum dimension exceeding 900 mm (36 in.) per ACI 301, the heat generated by cement hydration can cause internal temperatures to exceed surface temperatures by more than 35°F (19°C), creating thermal gradients that lead to cracking if not actively managed.
- Large equipment pads. Generator pads, transformer pads, UPS battery rooms, and chiller bases all require purpose-designed concrete elements with specific strength and dimensional tolerance requirements. These pads are often on the critical path for MEP equipment installation; the generator cannot be set until the pad reaches specified strength.
- Post-tensioned elevated slabs. In multi-story data center configurations or facilities with elevated plant rooms, post-tensioned slabs are common. Post-tensioning cannot begin until the slab has reached a specified minimum strength which is typically confirmed by field-cured cylinder tests under traditional methods.
The Traditional Testing Problem
The standard approach to concrete quality control included casting field-cured cylinders at the point of placement, transporting them to a laboratory, and waiting for break results, introduces a structural delay that compounds across a fast-track project.
Under ACI 318 and ACI 301, formwork removal requires that concrete has reached sufficient strength as determined by the engineer of record, verified through field-cured cylinders or approved in-place methods. In practice, project specifications commonly set 75% of the specified 28-day compressive strength as the threshold for shoring removal and steel erection authorization. In practice, waiting for 7-day or 14-day cylinder break results before making these decisions means that entire trades, such as steel erectors, MEP rough-in crews, equipment, setting crews are standing by for data that may confirm the concrete was ready days earlier.
On a project with ten or fifteen major structural pours, each carrying even a one-day delay from unnecessary waiting, the cumulative schedule impact is real and measurable.
There is also a quality risk in the other direction: without real-time temperature data, mass concrete pours can develop thermal differentials that exceed specification limits before anyone on site is aware of the problem. By the time a non-conformance is identified through traditional inspection, remediation is expensive and disruptive.
Real-Time Concrete Monitoring: How Leading GCs Are Managing This
Wireless embedded concrete sensors which are placed directly in the formwork before the pour and left in the
concrete throughout curing provide continuous, real-time temperature and
strength data accessible to site superintendents, project managers, and
remote engineers simultaneously. This eliminates the information gap between
the pour and the decision.
The maturity method, which correlates concrete strength development with the combined effect of
time and temperature history, is recognized by ASTM C1074 and ACI 308 as a valid basis for making construction decisions. Real-time
maturity-based monitoring allows GCs to make those decisions as soon as the
concrete is genuinely ready, not when a lab report arrives.
The practical outcome is faster formwork stripping decisions, earlier
post-tensioning authorization, and earlier release for the next trade; all
backed by traceable, time-stamped data records that satisfy documentation
requirements at commissioning and handover.
What This Looks Like in Practice
- At the ONE Park Tower project in North Miami, a 35-story post-tensioned condominium involving approximately 75 slab pours, Skyrise Engineering & Testing deployed approximately 250 SmartRock® Long Range sensors across the project. Rather than waiting for lab-cured cylinder results before authorizing post-tensioning, the team monitored in-place strength development in real time through the cloud-based dashboard. The result was over 140 hours saved on the project schedule.
- At the International Center Project in Ulaanbaatar, Mongolia, a large mixed-use development constructed in extreme cold-weather conditions, MCS Property LLC deployed SmartRock sensors to monitor concrete temperature and strength continuously through the winter curing period. Under traditional testing, unpredictable lab turnaround in harsh conditions created significant uncertainty and risk of freezing damage. With real-time monitoring, the team confirmed target strength 2.5 days earlier than traditional methods would have permitted, contributing to an estimated 25 days of total project time savings while actively preventing freeze damage through early detection of temperature drops.
- On the Stroud Sewerage Strategy project in the UK, Galliford Try used SmartRock sensors to manage temperature control and remote data sharing on mass concrete infrastructure elements. The outcome was approximately a 50% increase in efficiency across installation, monitoring, and data interpretation processes, and daily monitoring was reduced to approximately 10 minutes of site time. Remote cloud-based data sharing with off-site designers eliminated communication delays between field teams and engineering reviewers.
- For GCs managing elevated post-tensioned slabs under tight schedules, the DIVCONproject in Washington State is instructive. The team was constructing a 40,000 sq. ft. elevated post-tension podium slab deck and had been using traditional wired maturity systems, which produced damaged wires, mislabeled sensors, and unreliable readings which are exactly the conditions that lead to conservative, delay-generating decisions. Switching to wireless SmartRock sensors resolved the reliability problem, improved data accuracy, reduced site liability exposure, and enabled faster, traceable decision-making on post-tensioning authorization.
- At Broccolini’s multi-level self-storage facility in Kirkland, Quebec, a project with multiple sequential slab pours where schedule compression was essential, traditional cylinder testing created recurring bottlenecks between pours. Implementing SmartRock sensors eliminated the waiting period between data collection and decision, allowing the team to move to the next pour as soon as in-place strength confirmed readiness rather than waiting for lab turnaround. The result was measurably improved workflow efficiency across the slab sequence.
Leading GCs Use SmartRock Long Range. Find Out Why!
A blog for GCs who want to go deeper on how long-range concrete monitoring solutions apply specifically to data center schedules with real case studies.
The Six Biggest Schedule Risks and Which Ones You Can Actually Control
Understanding risk on a data center project means separating the risks that are genuinely outside a GC’s control from those that are manageable with the right approach. Conflating the two leads to schedule submissions that owners distrust and project post-mortems that are hard to defend.
- Grid interconnection and substation delaysarealmost entirely outside a GC’s direct control. Utility-driven timelines for substation construction and grid interconnection typically run 18–24 months and cannot be compressed regardless of available budget. The GC’s responsibility is to ensure these timelines are surfaced clearly during preconstruction so that the owner’s procurement team engages the utility early enough.
- Long-lead equipment procurement delaysare partially within GC influence and heavily influenced by how early procurement is initiated.Since 2021, switchgear prices have risen approximately 50%, generators approximately 45%, transformers approximately 44%, UPS systems approximately 48%, and chillers approximately 40%. Beyond price, lead times have extended significantly. GCs who flag procurement windows during preconstruction and document the risks of late ordering protect themselves from absorbing delays that belong to the owner or procurement team.
- Permittingand zoning delays vary by jurisdiction and are becoming more unpredictable as data centers face growing public and political scrutiny over power consumption and land use. GCs with local market experience and established relationships with permit offices can provide realistic timeline guidance that owners from out of market cannot.
- Concrete curing and formworkdecisions:this is the risk most directly within the GC’s control, and the one most consistently managed with outdated tools. Unnecessary waiting for lab break results before making formwork stripping, post-tensioning, and loading decisions creates cumulative delays that compound across a multi-phase structural program. Real-time monitoring is not a luxury on a fast-track data center; it is a schedule management tool.
- Skilled labor availabilityis a growing structural constraint across the industry. Theconstruction sector is projected to face a workforce shortfall of approximately 1.9 million workers by 2033. On data center projects specifically which require electricians, HVAC technicians, commissioning engineers, and mission-critical specialists in high concentrations, labor availability in a given market can be a binding constraint on schedule. GCs who build relationships with specialty subcontractors ahead of contract award, rather than after, hold a real advantage.
- Scope changes driven by AI workload evolutionrepresent an emerging risk that did not exist at the same scale three years ago.Data center specifications written at the design stage can be partially obsolete by the time structural construction begins, as the power density and cooling requirements for AI workloads shift faster than project delivery cycles. GCs should ensure that contract documents clearly define the scope basis and that any owner-directed changes to power density or cooling architecture mid-project are documented as scope changes with schedule and cost implications.
What Hyperscale Owners Expect From Their GCs
Hyperscale owners have built or overseen dozens of data center projects. They know what good GC performance looks like, and they have specific expectations that differ from typical commercial or industrial clients. For GCs entering this market, understanding those expectations is as important as understanding the technical scope.
The full picture is covered in Giatec’s dedicated guide on what hyperscale owners expect from their GCs, but the essential themes are:
Real-time visibility, not periodic reporting. Hyperscale owners expect access to project data on demand such as concrete strength readings, pour records, MEP installation status, commissioning test results. Weekly reports are not sufficient. GCs who operate with digital monitoring and cloud-based documentation platforms are far better positioned to meet this expectation than those relying on paper-based field documentation.
Zero surprises at commissioning. Every deficiency discovered at commissioning was a decision made or deferred earlier in the project. Owners track this carefully and attribute commissioning failures to specific construction phases. GCs who maintain rigorous quality records throughout the build, and who surface issues proactively rather than hoping they resolve themselves, build the credibility that leads to repeat work.
Schedule integrity above all else. For hyperscale owners, a data center coming online represents contracted capacity commitments to their own customers. A delayed handover has consequences that reach beyond the construction contract. GCs who treat the schedule as a living, actively managed document, not a baseline filed at project kickoff, are the ones who earn long-term relationships in this sector.
Documentation that survives the project. Data center facilities operate for 15–20+ years. Documentation produced during construction including concrete quality records, material certifications, as-built MEP drawings, and commissioning test reports, becomes part of the facility’s operational record. Owners expect that documentation to be complete, organized, and traceable.
Modular vs. Traditional Construction: The GC Trade-Off
As data center demand has accelerated, two distinct delivery models have emerged, each with genuine advantages and real trade-offs.
Traditional (stick-built) construction involves building the facility in place using conventional sequenced trades. It offers maximum flexibility for complex sites, irregular footprints, and custom owner requirements. It is the default approach for most hyperscale and enterprise builds where the structural configuration is highly specific. The primary disadvantage is that on-site construction timelines are sensitive to weather, labor availability, and the scheduling of sequential trades, all of which create delay risk.
Prefabricated modular construction involves manufacturing data hall components, power pods, or cooling modules in a controlled factory environment and assembling them on site. Factory-built modules can cut on-site construction time by approximately 30%, and some project teams have reported deploying complete prefabricated data halls in approximately 17 weeks compared to the six to nine months typical of conventional construction. Quality control in a factory setting is generally higher than on a field-built project, and cost predictability is better. The constraint is flexibility: modular approaches work best when the design is standardized and the owner’s requirements are well-defined before procurement.
The hybrid approach: a traditional structural shell with modular MEP components which is gaining traction for large hyperscale projects where the site is unique but the infrastructure systems are repeated across multiple facilities. GCs who understand both models and can advise owners on which approach fits their specific project are more valuable partners than those who default to one model regardless of context.
From a concrete monitoring perspective, the model matters: prefabricated modular builds still involve poured-in-place foundations, equipment pads, and site infrastructure that require structural monitoring. The concrete phase is shorter in a modular program but no less critical: a delayed equipment pad still blocks the entire module installation sequence.
Get the Inside Scoop on Modern Construction Types.
Don’t fall behind! Check out our Construction Insights article on structural construction builds.
Frequently Asked Questions
How long does data center construction take?
The full timeline from concept to handover typically spans three to six years for large-scale projects. Construction of the physical facility runs twelve to thirty-six months depending on project scale, site conditions, and delivery model. The phases preceding construction such as site selection, permitting, design, and equipment procurement are often as long as the build itself. GCs should assume that their mobilization date is not the beginning of the project’s schedule risk.
What is the most common cause of concrete-related delays in data center construction?
The most common cause is unnecessary waiting for traditional laboratory cylinder break results before authorizing formwork stripping, post-tensioning, or equipment loading. Field-cured cylinders transported to a laboratory and tested at 7 or 14 days may confirm that concrete reached the required strength several days earlier than the test date which is meaning the GC waited for information that was already true. On projects with multiple sequential structural pours, this lag compounds into measurable schedule loss.
How does the maturity method work, and why are GCs using it on fast-track projects?
The maturity method correlates the strength development of concrete with its temperature-time history, expressed as a maturity index. Because concrete gains strength as a function of both how long it has cured and how warm it has been during curing, a maturity curve developed from pre-pour mix calibration allows real-time strength estimation from embedded temperature sensors. ASTM C1074 and ACI 308 recognize this method as a valid basis for construction decisions including formwork removal and post-tensioning authorization. On fast-track projects, it allows superintendents to act on actual in-place conditions rather than waiting for time-bound lab tests.
What is the difference between traditional and fast-track data center construction?
Traditional data center delivery follows a sequential design-bid-build process, with each phase substantially complete before the next begins. Fast-track delivery overlaps design and construction phases by beginning site work and foundation construction before the full building design is finalized, compressing the overall schedule but introducing coordination risk. Fast-track projects are increasingly common for hyperscale builds where time to market is the dominant owner priority. They place additional pressure on GCs to manage scope, procurement, and field decisions in parallel, and they amplify the cost of any delay on the critical path.
What do hyperscale owners typically require from GCs on concrete documentation?
Hyperscale owners generally require complete, traceable records for every structural concrete pour: mix design approvals, batch tickets, field-cured and standard-cured cylinder test results, temperature monitoring logs, and formwork stripping authorizations. On projects using real-time monitoring, digital records from embedded sensors, timestamped and accessible through cloud platforms, satisfy these requirements and provide a more granular record than traditional paper-based documentation. This documentation becomes part of the facility’s permanent operational record and may be required during commissioning audits, insurance reviews, and future structural assessments.
What is PUE and why does it matter to the GC?
Power Usage Effectiveness (PUE) is the ratio of total facility power consumption to the power delivered to IT equipment. A PUE of 1.0 is theoretical perfection; the industry average is approximately 1.58. For GCs, PUE is relevant because the cooling and power distribution systems you build directly determine the facility’s operational PUE. An owner who specified a target PUE of 1.3 and receives a facility whose as-built cooling system performs to 1.5 has a contractual issue. GCs should understand what PUE target is embedded in the design specifications and ensure that MEP installation conforms to that design intent.
SmartRock Long Range Goes the Distance for Data Center Projects.
Accelerate your data center construction with reliable real-time concrete data.