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Data center projects in Qatar

The Gulf · dataset updated 2026-10-18

ArusGrid tracks 4 active data center projects in Qatar with 62 MW of planned IT load, spread over 1 market. Of these, 2 are operational, 1 is operational and expanding and 1 is under construction. Projects under construction or commissioning account for 44 MW. Disclosed running capacity is 18 MW.

Doha is the largest market with 4 projects and 62 MW planned. The operators with the most planned capacity in the country are Meeza (62 MW), Alphabet and Microsoft.

The US export control position for advanced AI chips in Qatar, as of 27 September 2026, is recorded as “Licence required as enforced (Country Group D:4), no named authorisation found”.

Markets

MarketProjectsPlanned MWUnder construction MWOperational MWColocation vacancy
Doha4624418not published

Vacancy is the share of built, leasable colocation capacity sitting empty, as published by a third party. It excludes hyperscaler self-build and is never estimated.

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All projects largest planned capacity first

ProjectCityStagePlanned MWRunning MWOperatorAI
Meeza M-VAULT 6, 7 and 8DohaUnder construction44undisclosedMeeza QSTP LLCLikely
Meeza M-VAULT 1 to 5 (Doha portfolio)DohaExpanding1818Meeza QSTP LLCLikely
Google Cloud Doha RegionDohaOperationalnone publishedundisclosedGoogle
Microsoft Azure Qatar Central RegionDohaOperationalnone publishedundisclosedMicrosoft

Firms that have built here confirmed or reported awards on data center projects in Qatar

FirmProjectsRolesLatest award
Elegancia (Estithmar Holding)1Design and build24 September 2026

This lists past awards, not bidders on any current project. Inferred links and bids are left out. All firms are on Who builds data centers.

Other countries

Operators here with their own page

* marks a capacity figure whose source states a basis other than IT load. Planned MW is IT load unless marked. Running capacity is rarely published, so a missing figure means undisclosed. Cancelled projects are listed and excluded from every total. Definitions, sourcing standards and evidence rules are on the Methodology page. Data is CC BY-NC 4.0. Corrections go to corrections@arusgrid.com. This page is generated from the dataset, so it cannot drift from the map.