Datacentre energy demands set to soar by 2030 as AI growth accelerates, predicts Gartner | Computer Weekly
Briefly

Datacentre energy demands set to soar by 2030 as AI growth accelerates, predicts Gartner | Computer Weekly
"Projections released by the IT analyst house suggest the electricity demands of datacentres will grow by 16% this year and are on course to double by 2030. At the same time, Gartner analysts estimate that the amount of electricity consumed by the global datacentre market will hit 448 terrawatt hours (TWh) in 2025, rising to 980 TWh by 2030, with much of this energy consumed by power-hungry AI workloads hosted in these datacentres."
"Its figures show that AI-optimised servers are expected to account for 21% of the total amount of power consumed by datacentres this year, rising to 44% by 2030, when they will also represent 64% of the incremental power demand for datacentres. "While conventional servers and supporting infrastructure contribute to overall datacentre electricity consumption, the rapid rise of -optimised servers is fuelling the increase in datacentre power consumption," said Gartner research director Linglan Wang. "Their electricity usage is set to rise nearly fivefold, from 93 TWh in 2025 to 432 TWh in 2030.""
Datacentre electricity demand is rising sharply, increasing 16% this year and set to double by 2030. Global datacentre consumption is projected to reach 448 TWh in 2025 and 980 TWh by 2030, with AI workloads driving much of the growth. AI-optimised servers are forecast to account for 21% of datacentre power this year and 44% by 2030, and to represent 64% of incremental demand. AI-optimised server electricity use is projected to climb from 93 TWh in 2025 to 432 TWh in 2030. The US and China will generate over two-thirds of the demand; Europe and Asia-Pacific show differing growth due to efficiency and infrastructure planning.
Read at ComputerWeekly.com
Unable to calculate read time
[
|
]