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Building and launching a data center in orbit has no confirmed market price for a completed, scaled facility. The clearest recent like-for-like model, from Boston Consulting Group (BCG), puts 20-year total cost of ownership at $660 million to $750 million per megawatt in orbit, versus $230 million to $300 million per megawatt on Earth—a modeled orbital premium of about 2.5 to 3 times. A separate estimate for a hypothetical one-million-satellite constellation ranges from $1.45 trillion to $9.8 trillion. These are different scenarios, not competing bids: one compares lifetime cost per MW, the other models a particular megaconstellation.
For a construction-minded view, the central change is that a conventional building project does not simply move off Earth: much of its cost shifts into spacecraft production, launch, power and heat-rejection equipment, communications, and replacement. Those costs depend heavily on the design and assumptions, so no single figure should be treated as a quote for an orbital project.
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What do current estimates say an orbital data center costs?
Current public estimates describe models and scenarios, not a confirmed price for a completed commercial-scale orbital data center. BCG offers the most directly comparable headline figure in the published estimates: it estimates a 20-year total cost of ownership (TCO) of $660 million to $750 million per MW for an orbital facility, compared with $230 million to $300 million per MW for a terrestrial facility. Under BCG’s assumptions, that is an orbital cost premium of roughly 2.5 to 3 times.
That result is not a measured operating cost. BCG’s model assumes that the engineering and manufacturing challenges it discusses have been overcome. It is a projection under stated assumptions, not the price a buyer could pay today to order a scaled orbital facility. Read the full BCG cost and outlook analysis for its modeling context.
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Other published figures illustrate why estimates cannot be collapsed into one answer:
| Source and model | Reported estimate | What the figure covers |
|---|---|---|
| BCG, 2026 | $660M–$750M per MW orbital; $230M–$300M per MW terrestrial | 20-year TCO comparison; the model assumes technical and manufacturing challenges are overcome. |
| Ars Technica, 2026 | $1.45T optimistic; $3.45T neutral; $9.8T pessimistic | Rough all-in scenarios for a hypothetical one-million-satellite constellation, including launch, spacecraft, and ground-system assumptions. |
| TechTarget, July 2026 | $51.1B orbital; $15.9B terrestrial | A separate model of a five-year, 1-GW build; not the same scope or horizon as BCG’s 20-year TCO. |
| ABI Research, 2026 | 78× orbital-to-terrestrial TCO, described as a rough estimate | A high-level comparison that ABI itself qualifies as incomplete and more nuanced than a single multiple suggests. |
Figures checked November 2026. The table is useful as a map of published scenarios, not a ranking of bids. BCG reports a normalized cost per MW over 20 years; Ars models an unusually large satellite constellation; TechTarget uses a five-year, 1-GW build; and ABI flags its multiple as rough. Averaging these outputs would create a number that none of the sources actually estimates. Ars’s constellation range, for example, is best read as an illustration of the scale and sensitivity of a particular concept—not as an announced or funded project budget. See Ars Technica’s scenario assumptions and TechTarget’s five-year model before comparing either with BCG.
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A terrestrial data center’s budget includes a building and site work, electrical and cooling infrastructure, compute equipment, and the costs of operating and maintaining them. An orbital design can avoid some conventional site and building work, but that does not make the infrastructure free. Spacecraft and compute payloads must be produced and launched; power and thermal systems must work in the chosen orbit; data must reach users or ground facilities; and failures or obsolescence may require replacing hardware that is difficult to service.
SpaceX summarized the cost substitution in its June 2026 EU prospectus: “In orbit, construction costs are replaced by launch costs and satellite production costs.” That is the company’s framing, not evidence of demonstrated savings at a scaled commercial facility. Any claimed savings from launch integration, manufacturing, or avoiding terrestrial infrastructure depend on the company’s assumptions and the full cost boundary used. The prospectus should therefore be treated as an operator’s expectations rather than an independent market quote.
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For a construction comparison, the important question is not whether orbital projects have a building line item. It is which costs replace it, which remain on Earth, and whether each estimate includes the same capacity, operating life, availability, network, and replacement requirements. A cost per MW is not meaningful by itself unless the model also makes clear how long that MW operates and what equipment and infrastructure are included.
What makes launch such a large part of the bill?
Every kilogram sent to orbit has a cost, and the total launch requirement depends on more than the payload’s mass. It also depends on usable capacity per flight, the selected orbit, launch price, deployment schedule, and how many flights are needed to establish and maintain the system.
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Different studies use very different launch assumptions. The European Space Policy Institute’s (ESPI) 2025 model assumes a launch cost of $114 per kilogram and a two-year lifetime for in-space IT. Those are model inputs—not a claim about current commercial launch prices or an observed lifespan for an operating orbital data center. Likewise, Starcloud CEO Philip Johnston told McKinsey that around $500 per kilogram could be a threshold for competitive economics. That is Johnston’s view, not a verified industry-wide break-even point. The difference between current estimates, targets, and interviewee projections is material: a lower assumed launch rate can make an orbital model look much more favorable even before spacecraft design or lifetime changes. See ESPI’s assumptions and Johnston’s McKinsey interview.
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Launch cadence matters as well as initial deployment. A one-time calculation that gets the initial constellation into orbit can understate lifetime cost if satellites need replacement. A useful model should separate the initial deployment flights from later flights needed to sustain service, and state the assumed satellite lifetime and replacement rate.
Which other costs drive the estimate?
Launch is only one part of the bill. The other major cost drivers interact with it: heavier power systems increase mass, short hardware lifetimes increase replacement flights, and remote equipment cannot be maintained like a conventional building’s plant.
- Spacecraft and compute payload: The estimate must account for the satellite bus, processors, power equipment, communications hardware, and deployment mechanisms. These are space-qualified systems, not simply terrestrial servers loaded into a rocket. SpaceX’s framing explicitly pairs launch with satellite production.
- Power generation: Solar power may be favorable in some orbital designs, but delivering substantial power requires arrays. Arrays add mass and have to be included in the spacecraft and deployment design; solar availability does not erase power-system cost.
- Heat rejection: Compute equipment produces waste heat, which must be radiated away. ABI Research offers an illustration of the physical burden: it estimates around 1.1 square meters of radiator per NVIDIA H100 GPU and roughly 33 square meters of solar panels for a DGX H100 system. These are ABI’s estimates for the examples it discusses, not universal specifications for every orbital data-center architecture. See ABI Research’s analyst discussion.
- Reliability, lifetime, and replacement: Radiation exposure, component failure, lack of straightforward servicing, and chip obsolescence can all shorten useful life or force replacement. BCG’s sensitivity analysis shows that assumed failure rates materially change the orbital premium. EPRS likewise flags short lifetimes and replacement trade-offs. ABI estimates a three-to-five-year window in which operators would need to create value from hardware that cannot readily be upgraded; treat this as ABI’s analysis, not a universal service-life guarantee.
- Communications and ground systems: Data has to travel between orbital compute, users, and terrestrial facilities. The design therefore needs network links and ground infrastructure. Ars includes a rough $100 billion ground-system allowance in its constellation scenarios; that is a scenario-specific assumption, not a standard allowance to attach to every project.
- Terrestrial costs avoided—or retained: An orbital comparison still needs to account for the terrestrial facilities and network infrastructure that remain part of the service. Conversely, avoided land, grid, construction, or conventional cooling costs can matter, but their value varies with location and project scope.
For the terrestrial baseline, electricity prices, grid access and delays, land, cooling, and construction costs vary by geography and project. BCG varies terrestrial electricity prices in its sensitivity analysis. Johnston’s comparison for US infrastructure is an interviewee’s estimate for US systems, not a universal benchmark. A fair comparison needs equivalent capacity, utilization, lifetime, and included infrastructure on both sides.
How should you compare two orbital data-center cost estimates?
First align the scope and time horizon. A project total, a launch-only figure, a construction-capital estimate, and a 20-year TCO answer different questions. Then compare the assumptions that can change the result most.
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- Identify the unit and horizon. Is the number total project cost, cost per MW, or cost per kilogram delivered? Does it cover initial capital only, five years, or 20 years of ownership?
- Check the included systems. Confirm whether the estimate includes compute hardware, spacecraft, deployment, power and thermal equipment, ground systems, and data links. Do not assume “all-in” means the same thing across scenarios.
- Read the launch assumptions. Note price per kilogram, usable payload per flight, orbit, number of launches, and schedule. Separate the initial deployment from replacement launches.
- Check the lifetime model. Look for assumed equipment lifetime, failure rates, upgradeability, and replacement frequency. These assumptions are especially consequential when hardware is hard to service.
- Test the terrestrial baseline. Compare the same capacity and operating period, and identify the assumed geography, electricity price, grid conditions, cooling, and facility scope.
- Separate facts from forecasts. Mark whether each input is a current reported cost, a target, a company expectation, an interviewee’s estimate, or a scenario assumption. Do not mix those categories into a single “market price.”
BCG highlights launch cost, satellite weight, terrestrial electricity prices, and failure rates as key sensitivities. EPRS and ESPI show why launch cadence, architecture, launch price, and equipment lifespan also matter. If an estimate omits these inputs, it may still illustrate a concept, but it is not enough to support a reliable project budget.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.When might paying more for orbital compute make sense?
Near-term arguments for orbital data centers are about workload fit and infrastructure constraints—not a demonstrated across-the-board cost advantage. BCG identifies three candidate use cases: latency-tolerant inference, such as batch document, image, and video generation; sovereign or regulated workloads; and processing information collected in space, including Earth observation and satellite tracking.
Those cases could make location, energy availability, or proximity to data valuable enough to justify a premium for a particular buyer. But they do not establish that ordinary cloud workloads are cheaper or better in orbit. The economics still depend on workload, data movement, terrestrial alternatives, and the facility’s full lifecycle costs. BCG’s discussion of workload fit is a useful distinction between potential applications and a general cost claim.
Johnston told McKinsey that current systems are generally more expensive, largely because of launch costs, and suggested economics could become competitive around $500/kg. He also estimated space infrastructure costs could be under $5 million per MW compared with $12 million to $15 million per MW for US terrestrial systems, citing the absence of batteries and conventional cooling infrastructure. Attribute those figures to Johnston: they are interviewee estimates, do not include every cost category, and are not independently confirmed market benchmarks. They should not be directly substituted for BCG’s 20-year TCO comparison.
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Patrick Bowen, CEO of Neurophos, made a related but different argument to TechTarget: “SpaceX does not even need to be able to deploy cheaper than on Earth. It just needs to be faster.” That is an executive’s argument about deployment speed, not a cost estimate or proof that speed will outweigh lifecycle expense for a buyer. TechTarget’s five-year, 1-GW model is another distinct comparison, with a different scope from BCG’s normalized 20-year analysis.
What is the best current answer to “how much does it cost?”
There is no defensible single quote for building and launching a scaled orbital data center. The most useful normalized current estimate in the available sources is BCG’s $660 million to $750 million per MW over 20 years, versus $230 million to $300 million per MW for terrestrial data centers under its assumptions. That indicates a substantial modeled premium, not a guaranteed price or measured result.
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For project planning, treat orbital data-center costs as a scenario range and make the assumptions explicit. The largest questions are how cheaply and reliably mass can reach orbit, how much compute each satellite can carry, how long the hardware lasts, what replacement rate is required, and what communications and ground systems the architecture needs. Until those inputs are demonstrated at scale and compared with a clearly defined terrestrial alternative, trillion-dollar scenarios, per-MW models, and operator forecasts remain different kinds of evidence—not interchangeable answers.
Frequently Asked Questions
Does the orbital cost estimate include the ground network?
Not consistently. Ars Technica’s one-million-satellite scenarios include a rough $100 billion allowance for ground systems, but that is specific to that model. Any other estimate needs to state whether network links and ground facilities are included.
Is €280 per kilogram the price companies pay to launch a data center?
No. EPRS identifies €280/kg as an ESA target; the same briefing says current launch costs remain several thousand euros per kilogram. A target is not an available commercial rate or a reliable project quote.
Why can an orbital data center still need a large terrestrial investment?
Orbital compute still needs connections to users or ground facilities, and estimates may include substantial ground-system infrastructure. The exact terrestrial footprint depends on the architecture, so it should be checked rather than assumed to disappear.
Can a buyer use the $500/kg figure as a break-even guarantee?
No. That threshold is Philip Johnston’s view, shared in a McKinsey interview, rather than an independently verified industry standard. Whether economics work also depends on satellite mass and capacity, lifetime, replacement, and the terrestrial comparison.
