Australia operates 1.5 gigawatts of data center capacity. The country has positioned itself as the primary Asia-Pacific data center market for workloads that require English-language legal jurisdiction, low latency to major Australian cities, and proximity to the Pacific fiber cable network. DC Byte and Data Centres Australia released their inaugural Australian Data Centre Forecast Report projecting that capacity will reach 3.2 gigawatts by 2030, doubling over four years on the back of hyperscale investment, government AI infrastructure programs, and enterprise digital migration that has been running behind comparable markets.
The partnership between DC Byte, a global data center market intelligence firm, and Data Centres Australia, the industry association, is structured to produce something the Australian market has lacked: independent, evidence-based capacity forecasting that policymakers and utilities can use to plan grid infrastructure and water resource allocation. That gap matters. When utilities commission transmission upgrades based on projected data center power draw, they need a forecast that accounts for which announced projects actually get built, not just the list of announced projects. The 3.2 gigawatt number is the central projection. The reliability of that number is exactly what the report is designed to assess.
The inaugural report names the problem directly. Early-stage projects often do not eventuate as completed projects, and when they are included in market forecasts, they produce inflated capacity projections that distort utility planning, real estate investment, and cooling supply chain commitments. DC Byte terms these early-stage announced-but-unlikely-to-complete projects phantom demand. In markets where demand has been growing quickly, the phantom demand proportion can be substantial. The report does not give a specific figure for Australia's phantom demand percentage as of publication, but the identification of it as a structural issue in the methodology signals that the 3.2 gigawatt projection already accounts for a discount on early-stage projects.
This is the forecasting credibility problem that every large data center market faces. Announced capacity and commissioned capacity diverge widely in fast-growth markets because the announcement process is cheap and the construction process is expensive. A developer can announce a 100-megawatt campus with a press release and a planning application. Getting that campus through permitting, power procurement, construction, and commissioning is a different order of difficulty, and the failure rate from announcement to operation is higher than most market reports acknowledge. The utilities that have been burned by over-forecasting in other markets are watching Australian planning processes carefully.
The cooling industry's supply chain planning problem is directly downstream of the forecasting problem. CDU manufacturers, liquid cooling component suppliers, and chiller OEMs make production capacity decisions based on projected data center construction volumes. If those volumes are inflated by phantom demand, manufacturers either over-invest in capacity and absorb the loss, or they maintain conservative production targets and face supply constraints when the real projects arrive. Australia's data center market doubling from 1.5 to 3.2 gigawatts over four years represents a substantial cooling infrastructure procurement wave, primarily at the higher density AI workload configurations that require liquid cooling systems. Getting the forecast right is not just a policymaker concern. It is a supply chain decision that the vendors serving this market need to make now, on a four-year horizon.