Espaciorack Madrid

Last updated

Espaciorack Madrid is a data center in Madrid, ES. The facility is currently announced. It sits in the Madrid data-center market on the ENTSOE-ES grid, which DC Hub's Data Center Power Index currently rates AVOID, with an estimated 69.1-month time-to-power. Operators should weigh interconnection risk here — the market screens constrained on grid headroom and time-to-power.

Status
Announced
City
Madrid
Country
ES

What changed

Changes DC Hub has recorded to this facility’s record, newest first.

Market intelligence

AVOID

Data Center Power Index verdict for Madrid — the market this facility sits in.

Full DCPI breakdown →

Market context

DC Hub analyst read on Madrid — the market this facility sits in (full deep-dive →).

Madrid's data center ecosystem comprises 122 tracked facilities totaling 75 MW of operational capacity, dominated by Digital Realty 4 facilities, Equinix 6 combined across two entity structures, and a fragmented mid-tier of regional operators including Asociación ESpanix and Colt Technology Services Madrid 2 each. The market is experiencing visible expansion momentum, evidenced by Nabiax's €800 million committed investment to scale its Madrid campus from 35 MW to 140 MW, Ferrovial's announced €1 billion Madrid data center project launching with 60 MW 40 MW IT load, and Global Switch's second Madrid facility adding 56 MW of capacity. These pipeline projects signal confidence in Madrid's role as a European connectivity hub, yet current supply remains constrained relative to announced demand. The DCPI verdict of AVOID is driven by a critical power supply-demand imbalance: excess-power…

Market & grid context

Published DC Hub data for this location.

MarketMadrid
Grid operatorENTSOE-ES
DC Hub Power IndexAVOID
Est. time to power69.1 months
LocationMadrid, ES

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Data: DC Hub global infrastructure database · Raw JSON
Live grid, fiber & DCPI context for this facility — AI agents: query DC Hub MCP get_facility slug="espaciorack-madrid-f5814861" (endpoint https://dchub.cloud/mcp) for the full cited record. Connect: https://dchub.cloud/connect
Schema, units and the population behind every count: https://dchub.cloud/bind