The sector

The forecasts disagree by 3.0 times,
and they are counting the wrong thing.

India's 2030 data centre capacity is projected at anywhere from 4.5 to 13.5 GW depending on which house you read. That spread is a finding rather than a number to average away. What none of them says is that the unit itself overstates: every one of these projections counts built capacity, and built capacity is not what earns.

Operational today

1.5GW

Operational national capacity, approximately. Colliers counted 1,263 MW as at April 2025 and the year closed near 1.5 GW.

Forecasts disagree by

3.0xlow to high

Colliers at 4.5 GW against the top of the range at 13.5 GW.

Added in 2025

387MW

Against 191 MW in 2024. The build rate is 2.0 times what it was a year earlier, and still leaves every forecast a long way off.

Market size

10 to 22bn USD

2025 to 2030. Market size, not capacity. Reported by Vestian and carried in IBEF summaries.

Pledged by three firms

45.2bn USD

Microsoft, Google, AWS, on horizons of four to five years, against a market that turned over 10 bn USD in 2025.

Grid demand by 2031-32

13.56GW

Against about 1 GW drawn today, on the Ministry of Power estimate. Electricity is what has to arrive before a megawatt earns.

Exhibit 1

Every 2030 forecast is stated in built capacity, and 59 per cent of built capacity earns

Gigawatts. The pale bar is the forecast as published. The dark bar is the same forecast at the sold share measured from a filing, FY2025.

As published, built capacityRestated at the measured sold shareFloor of a published band
  • Colliers4.5 GW by 2030

    Base case national capacity. Restated: 2.7 GW earning.

  • Rubix Data Sciences6.5 GW by 2030

    Base case national capacity. Restated: 3.8 GW earning.

  • AI accelerated bull cases8.0 to 13.5 GW by 2032

    Range across bullish AI demand scenarios, 2030 to 2032. Restated: 4.7 to 8.0 GW earning.

Operational today, 20251.5 GW

Drawn on the same scale as the forecasts above it.

The sold share applied is 59 per cent, measured from a filed prospectus rather than assumed. It is one estate, and it is the only Indian estate where built and sold capacity are both printed.

Every one of these forecasts is stated in built capacity, which is the same word the one filed estate shows does not mean earning. It is the finding rather than a caveat on it. On the one Indian estate where a filing prints both numbers, 188.04 MW of built capacity carried 111.37 MW sold to a customer. Applying that share is not a rival forecast. It is the same published numbers restated in the unit revenue would have to come from, and it moves the top of the range from 13.5 GW to 8.0.

One number is worth stopping on. Restated, the very top of the bull range lands at 8.0 GW, which is the same figure as the floor of that same bull range as published, 8.0 GW. The most optimistic case, counted in capacity that earns, arrives at the least optimistic case counted the way the industry counts. That is a coincidence of arithmetic rather than a result, and it is the clearest measure of how much work the unit is doing.

One estate is not a national conversion rate. It is the only rate anybody has published a filing for, which is the more useful complaint: an entire sector is being sized in a unit whose conversion to revenue has been measured exactly once. That estate is read here.

Source: Forecasts from the named research houses. The conversion is derived from the Sify Infinit Spaces prospectus, printed page 301.

Exhibit 2

The most conservative forecast needs 1.6 times the capacity India added in its record year

Megawatts a year. Straight line from 2025 to each forecast's own horizon, against the megawatts actually added.

  • Colliersto 2030, 5 years600 MW a year

    1.6 times what was actually added in 2025.

  • AI accelerated bull casesto 2032, 7 years929 to 1714 MW a year

    2.4 to 4.4 times what was actually added in 2025.

  • Rubix Data Sciencesto 2030, 5 years1000 MW a year

    2.6 times what was actually added in 2025.

Actually added, 2025387 MW

The only measured bar on this chart, and itself a record: 2.0 times the 191 MW added in 2024.

2025 was the best year India has had. It added 387 MW, 2.0 times the year before. It is still short of every forecast on this page. The least demanding of them, Colliers, needs 600 MW every year from here, which is 1.6 times a record year, sustained for 5.

The straight line is deliberate. A ramp would move megawatts between years without changing the total, and the total is the claim. Nothing here says the forecasts are wrong. It says what would have to happen for them to be right, in the one unit the sector reports annually, and that the doubling already achieved is not the hard part.

Source: Forecast horizons as published. Capacity added by year from the build rate series, as at 2026-08-30.

Exhibit 3

Every Indian operator earned less on its capital in FY2024 than in FY2023

Return on capital employed, per cent, on the definition printed in the source. Indian operators solid, global operators dashed. A gap in a line is a year an operator did not report, never a zero.

The issuerIndian operatorsGlobal operators
-52.51017.525FY2023FY2024FY2025Sify Infinit SpacesCtrlS Data CentersNxtra DataST Telemedia GDCNTT Data CentersEquinixDigital RealtyNEXTDC

Return on capital employed, per cent. A gap in a line is a year the operator did not report.

All 5 Indian operators in the table fell between FY2023 and FY2024. The average went from 13.47 per cent to 8.45, a drop of 37 per cent in a single year, while the largest global operator moved the other way. Capital is going in faster than it is coming back out, across the whole Indian set rather than at one company.

The issuer's own summary of this table, at printed page 261, reads: “Sify achieved ROCE of 9.88%, 6.75% and 7.92% in Fiscal 2023, Fiscal 2024 and Fiscal 2025, respectively, which is significantly higher than its global peers.” The comparison is to global peers. Against the Indian operators printed directly above them it ranks 3 of 5 in FY2023 and 3 of 5 in FY2024. In FY2024 it did not beat every global peer either: 6.75 against 6.92.

The source gives a reason on the same page: “Sify's depreciation rose from INR 2,083.00 million in Fiscal 2023 to INR 3,268.16 million in Fiscal 2025, resulting in a depreciation rate of 10.33% in Fiscal 2025 the highest among its peers. This partly weighed on its ROCE.” Heavy depreciation in a build phase does suppress the ratio, and it is the honest explanation for a low reading. It is also the explanation every operator in the Indian half of this table could give.

Source: Sify Infinit Spaces DRHP, peer benchmarking table inside the commissioned 1Lattice and Cushman and Wakefield industry report. Return on capital employed is EBIT over average capital employed, on the definition printed on the following page. Fiscal years are the Indian convention, ending 31 March. The two largest global names carry a footnote in the source marking a different reporting basis. Printed page 260.

Exhibit 4

A government scheme gave 10 providers the same deadline, and 5 of them have no public delivery record at all

Empanelled cloud providers under the IndiaAI Mission, grouped by what has been reported about deployment. Outlay 10,371 crore.

3of 10

Deploying

  • Yotta
  • NxtGen
  • E2E NetworksE2E Networks

2of 10

Behind

  • Jio Platforms
  • CtrlS

5of 10

Nothing reported either way

  • Tata CommunicationsTata Communications
  • CMS
  • Locuz
  • Orient
  • Vensysco

Yotta offered 9,216 processors on its own, against 17,300 more than installed across the whole scheme by mid 2025.

53%

An offer is not an installation. The bar sets one provider's commitment against the national total actually installed. Those are different quantities and are labelled as such, because no provider level installed figure has been published.

This is the clearest place in the sector to watch an announcement separate from a delivery, because every one of these providers accepted the same terms on the same date. 3 are reported as deploying and 2 as behind, and the two behind are among the largest names on the list. Size did not predict delivery here, which is the result the capacity pages reach from the other direction.

The largest group is the one nobody has reported on. For 5 of the 10 there is no public statement either way, which is a fact about the scheme's reporting rather than about those providers, so they are grouped by what was reported and not ranked against each other.

Source: Blueprint research note, BharatAI Infra Scope, compiled from IndiaAI Mission announcements and press reporting. The outlay, the empanelled list, the national installed total and the single offer figure are carried from that note and have not been traced to the mission's own publications.

Exhibit 5

Three firms have pledged 4.5 times what the market they are pledging into earns in a year

Billions of US dollars above, megawatts below. The two panels are separate scales in different units and nothing is drawn across them.

Announced, in dollars

Billions of US dollars, one scale

Microsoft17.5Google15AWS12.7Everyone else

The commitment bar runs to the third quarter of 2025 and includes the three pledges above it. The pledges do not share a horizon: Microsoft over four years, announced December 2025; Google over five years; AWS by 2030.

Delivered, in megawatts

A different quantity, a separate scale

Megawatts. Solid is built. Dashed is announced.

The two panels are not drawn on one axis and no rate converts between them. Dollars stay dollars and megawatts stay megawatts. 2 of the three announcements attached no capacity figure to the money, which is why only one of them appears in the lower panel.

Microsoft, Google and AWS have between them pledged 45.2 billion dollars to Indian data centres. The market they are pledging into turned over 10 billion in 2025. Those pledges sit inside 94 billion committed by every investor since 2019, so three foreign firms account for 48 per cent of everything the sector has been promised in six years.

Only one of the three attached a capacity to the money. Google put 1,000 MW on the first phase of a single site at Visakhapatnam. India operates 1,500 MW in total. One announced phase of one campus is 67 per cent of a national estate that took two decades to build, and it is announced rather than built. The other 2 pledges name no capacity at all, which means the largest numbers in this sector are denominated in a unit that cannot be checked against anything that exists.

Per gigawatt actually running, the pledges come to 30 billion dollars, and the whole sector commitment to 63. Capital is not what the sector is short of. The listed names sit here, and none of them is the counterparty to any of these three announcements.

Source: Blueprint research note, BharatAI Infra Scope, compiled from company announcements and press reporting. None of the three has been traced to the announcing company's own release. Cumulative commitment from CBRE, cumulative India data centre investment commitments, as carried in the project brief. National capacity from Industry estimates, Rubix Data Sciences and Colliers, as carried in the project brief.

Exhibit 6

The grid is asked to carry 13.6 times today's data centre demand by 2031-32

Gigawatts above, lakh crore rupees below. Grid demand and built IT load capacity are different quantities and are not converted into one another.

What the grid is asked to carry

Gigawatts

A different quantity, on the same axis for size only

What that capacity costs to build

Lakh crore rupees

Solid is the low build cost applied to the base case megawatts. The dashed extension runs to the high build cost applied to the top of each publisher's own range.

Capital cost

60 to 70

Crore rupees per megawatt, CareEdge. The multiplier every bar above uses.

Colocation margin

40 to 50per cent

Stabilising at 43, marked on the band.

Power, share of opex

65per cent

Electricity is the largest single thing one of these operators buys.

Grid demand and built IT load are different measurements and are drawn on one axis for magnitude only. Converting between them needs a facility efficiency figure, which is not published for the national estate and is not assumed here.

The Ministry of Power puts data centre electricity demand at 13.56 GW by 2031-32, against about 1 GW today. That is 13.6 times in six years, and it is a different measurement from the capacity forecasts in the first exhibit: this is what the buildings draw from the grid, those are what the servers inside them are rated for. Both are rising by an order of magnitude and neither is delivered by an announcement.

Priced at the published build cost of 60 to 70 crore rupees a megawatt, the most conservative forecast on this page needs 3,000 MW of new capacity costing 1.8 to 2.1 lakh crore. The IndiaAI Mission, the country's flagship programme for this technology and the scheme in the exhibit above, has a total outlay of 10,371 crore. The base case alone costs 17 times the whole mission, and it is the red rule at the foot of the chart.

Electricity is 65 per cent of what these operators spend to run, on a stabilised margin near 43 per cent. The single largest recurring cost is the one input that cannot be commissioned by writing a cheque, and the transmission that carries it has a measured delay record of its own, drawn against one company's deployment schedule here.

Source: Demand from Ministry of Power estimate of data centre electricity demand, as carried in the project brief. The transmission delay dataset cited elsewhere came from the ministry directly. This figure has not been traced to the ministry's own publication. Build cost and cost split from Colocation unit economics. Capital cost per megawatt from CareEdge, the margin range and the cost split from industry commentary, both as carried in the project brief. Scheme outlay from Blueprint research note, BharatAI Infra Scope, compiled from IndiaAI Mission announcements and press reporting. The outlay, the empanelled list, the national installed total and the single offer figure are carried from that note and have not been traced to the mission's own publications.