Description
Data Centre Database Atlas by Idem Est Research : mapped sites with IDs, geocodes and lifecycle data, plus optional MW to Gbps estimates. CSV, GeoJSON, SHP, KML/KMZ
Find facilities, operators, quantify capacity, and prioritise opportunities with a clean dataset plus modelled bandwidth estimates derived from power.
What teams use it for
- DC Market intelligence and sourcing
- Network planning and target prioritisation
- DC Portfolio rollups and diligence
- DC Mapping clusters and pipeline activity
What you get
- Stable identifiers and normalised locations
- Lifecycle and listing signals
- Enrichment like MW, whitespace, PUE, tier
- Optional MW to Gbps network traffic modelled estimates
Country coverage
Starting with Australia and New Zealand today, with Southeast Asia expansion on the roadmap. Need another geography? Tell us what to prioritise next.
Available now
- Australia (180+ operational, 100+ future DCs)
- New Zealand
Planned next
- Malaysia
- Indonesia
- Thailand
- Vietnam
Target Audience
Built for decision makers who need data centre clarity, fast.
Past clients include
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Data Centre Real Estate Investment Trusts (REITs): market mapping, portfolio benchmarking, and diligence support
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Data Centre Construction Contractors: pipeline visibility, opportunity sizing, and bid prioritisation
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Data Centre Infrastructure Providers: network planning, coverage analysis, and target account selection
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New entrants: fast market orientation, competitor mapping, and site shortlisting
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Consultants, consultancies, and advisory firms: repeatable market research, client deliverables, and modeling inputs
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Corporate and government agencies: planning and procurement support, regional capacity monitoring, and infrastructure strategy
Pick the data you need
Build exports that match your workflow, from lightweight mapping files to enriched diligence datasets.
Core fields
- Site name, site ID
- Parent ID (when applicable)
- Company name and company ID
- Lifecycle stage, listing type, capacity type
- Latitude, longitude
- Address, address details, postal code
- City, market, state, country
- Built-out power (MW)
- Power ramp-up profiles
- Built-out whitespace
- Total building size
- Year online
- PUE
- Site code
- Tier design
- Ecosystem statistics
Need additional attributes? Share your requirements. Many fields can be added on request.
Australia geospatial intelligence add-on
See where capacity is, and what it means for energy, water, and planning.
We work with clients across APAC on an Australia-wide data centre database (270+ sites). This add-on extends that foundation with practical geospatial analysis at national and state level.
What we can deliver
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National Data Centre Atlas: zoning, energy infrastructure and Renewable Energy Zones, water sources and recycled schemes, plus flood, bushfire, and protected-area constraints.
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Energy demand scenarios: annual GWh and peak MW by site, state, region, and key clusters under business-as-usual, AI-aggressive, and efficiency-gains cases.
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Water implications by cooling pathway: site and regional estimates to highlight alignment with recycled water and risks in water-stressed catchments.
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Cross-sector “pressure map”: a simple regional index combining land, energy, and water pressures to identify strong and sensitive locations.
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State planning notes: concise briefs on AI-driven growth, infrastructure implications, and policy levers for better zoning, efficient cooling, and renewables co-location.
Power-to-bandwidth modelling (MW to Gbps)
Power is a strong proxy for compute density. This layer converts MW into estimated throughput in Gbps using transparent, configurable assumptions, so you can screen markets and prioritize targets faster.
How it works
- Start from built-out MW (apply PUE if you work with facility totals)
- Choose a scenario profile (conservative, baseline, high intensity)
- Receive estimated Gbps as exportable columns
Where it helps
- Rank sites by estimated connectivity demand
- Plan metro backhaul priorities
- Size opportunity by market and cluster
- Support diligence and assumption checks
Modeled bandwidth is an estimate for screening and prioritization, not a substitute for site specific engineering surveys.
Delivery formats
- CSV (Excel friendly)
- Shapefile packages for GIS
- KML or KMZ for Google Earth
- GeoJSON for modern web mapping
Optional delivery methods include secure download, SFTP, or direct feed depending on licensing.
Request a sample
Tell us your geographies and preferred format. We will send a sample extract, the schema, and a short methodology note for the bandwidth modeling.
Send email to: landry@idemest.com
Data for market intelligence, sourcing, diligence, and network planning.
