Data Centre Intelligence Atlas : From Facility Data to Editable AI & Connectivity Forecasts

The Atlas connects three intelligence layers: facility and capacity data, AI and workload demand forecasts, and modelled connectivity requirements.

Rather than providing only facility listings or static market forecasts, the Atlas offers a consistent analytical framework that links future data centre activity with IT load and network demand. The editable model licence allows clients to test supported assumptions and alternative scenarios.

The editable model allows users to adjust supported workload assumptions, select demand scenarios and explore how changes affect forecast IT load and connectivity requirements.

Depending on the edition, outputs can be analysed by country, market, cluster, workload and year through 2035.

The model includes documented inputs, definitions and scenario controls. Proprietary source data and internal calibration methods are not necessarily included.The Atlas connects three intelligence layers: facility and capacity data, AI and workload demand forecasts, and modelled connectivity requirements.

AI demand is modelled as IT load across AI inference, AI training and physical AI, alongside general cloud, enterprise and video workloads.

Connectivity requirements are derived from forecast workloads and network traffic assumptions, producing modelled demand in Gbps/Tbps by market and cluster.

These are scenario-based forecasts rather than observed network traffic or confirmed future customer commitments.The editable model allows users to adjust supported workload assumptions, select demand scenarios and explore how changes affect forecast IT load and connectivity requirements.

The Data Centre Intelligence Atlas is available for Australia, Indonesia, Malaysia, New Zealand, Thailand and Vietnam.

Additional Asia-Pacific markets are being developed, with regional and multi-country editions available on request.

Each country edition follows a consistent methodology, enabling comparisons across markets. AI demand is modelled as IT load across AI inference, AI training and physical AI, alongside general cloud, enterprise and video workloads.

Country Data Pack: Facility-level Excel/CSV database, capacity, development pipeline and geographic datasets.

Full Country Atlas: Everything in the Data Pack, plus AI and workload forecasts, connectivity-demand outputs, scenario analysis and an executive PDF report.

Full Country Atlas + Editable Model: Includes configurable assumptions and recalculating scenario forecasts within the Excel workbook.

Quarterly Country Tracker: Provides regular facility, pipeline and forecast updates over a 12-month subscription period.

The precise deliverables and licence conditions are listed on each country product page.

Yes. Standard country editions can be purchased directly online or through a formal invoice and purchase-order process.

A discovery call is not required. Analyst discussions are available for clients seeking additional clarification, corporate licensing or customised analysis.Country Data Pack: Facility-level Excel/CSV database, capacity, development pipeline and geographic datasets.

Single-user, team and corporate licensing options are available.

Licences generally permit internal business analysis and reporting within the agreed user or organisation scope. Redistribution, resale, sublicensing and external publication of underlying datasets or model outputs may require additional permission.

Contact Idem Est Research & Advisory for enterprise-wide or multi-country licensing.

Each country Atlas is issued as a dated market edition.

The Quarterly Country Tracker provides four updates per year, covering facility additions, development pipeline changes, capacity revisions, expected commissioning dates and refreshed demand and connectivity forecasts.

Monthly monitoring and customised update programmes are available by agreement.

Yes. The Atlas can be extended to support specific infrastructure planning and investment requirements. Custom engagements may include origin/destination traffic matrices, metro DCI demand, national long-haul corridors, subsea gateway allocation, alternative workload scenarios and tailored market or cluster analysis.

Custom engagements may include:

• Connectivity and network planning: Origin/destination traffic matrices, metro DCI demand, national long-haul corridors, subsea gateway allocation and route diversity.
• Grid and power infrastructure: Transmission networks, substations, grid proximity, available power capacity where verifiable, and potential infrastructure constraints.
• Geospatial and site suitability analysis: GIS-based assessment of potential data centre locations using multiple infrastructure, environmental and demographic datasets.
• Population and demand analysis: Population density, demographic trends, business activity and proximity to major demand centres.
• Energy and water infrastructure: Proximity to energy infrastructure, renewable generation, water resources and supply networks, with availability and capacity assessed where data permits.
• Socioeconomic and community impact: Assessment of the economic and societal contribution of data centre development, including direct and indirect employment, capital investment, local supply chains, tax contributions, digital economy enablement, community benefits and potential impacts on energy, water and land resources.
• Land use and zoning: Industrial zoning, permitted land uses, development restrictions, planning overlays and proximity to residential areas.
• Custom forecasting: Alternative AI and workload demand scenarios, capacity forecasts and client-specific planning assumptions.

These capabilities can be integrated into multi-criteria geospatial suitability models, infrastructure investment assessments and independent socioeconomic impact studies, helping clients evaluate both the commercial opportunities and broader economic, environmental and community implications of data centre development.

Custom analysis is scoped separately from the standard Country Atlas editions.