Data centre electricity demand to surge 26% globally in 2026: Gartner

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Data centre electricity demand to surge 26% globally in 2026: Gartner

Synopsis

Gartner's latest data puts a hard number on the AI power crisis: global data centre electricity demand will jump 26.4% in 2026 to 565 TWh, and nearly triple to 290 GW by 2030. AI-optimised servers will outpace conventional ones in power draw by 2027 — and existing grid infrastructure, analysts warn, simply cannot keep up.

Key Takeaways

Global data centre electricity demand will rise 26.4 per cent to 565 TWh in 2026 , up from 447 TWh in 2025, per Gartner .
Data centre power demand is forecast at 132 GW in 2026, scaling to 290 GW by 2030 .
AI-optimised servers will account for 31 per cent of data centre power consumption in 2026 and surpass conventional servers by 2027 .
Total consumption is projected to exceed 1,200 TWh by 2030 , beyond what current grid supply can support.
Data centres already consume as much electricity as Saudi Arabia annually; doubling by 2030 would require 6.7 billion trees over a decade to offset the carbon footprint.
Gartner recommends urgent investment in high-efficiency cooling , edge computing , and grid access to manage the shortfall.

Global electricity demand for data centres is set to surge 26.4 per cent in 2026, with consumption climbing to 565 terawatt hours (TWh) — up from 447 TWh in 2025, according to a new report by technology research firm Gartner, Inc. released on Wednesday, 10 June 2025. The primary driver is compute-intensive artificial intelligence (AI) workloads pushing power needs to unprecedented levels.

Key Figures and Projections

Data centre power demand is forecast to reach 132 gigawatts (GW) in 2026, rising from 104 GW in 2025. The trajectory steepens sharply thereafter, with Gartner projecting demand to hit 290 GW by 2030 — nearly tripling in five years. Total electricity consumption for data centres is estimated to exceed 1,200 TWh by 2030, a scale that analysts warn will outstrip available grid supply.

Cooling systems and other supporting infrastructure are also under strain, with associated power needs rising 22.6 per cent in 2026 and a further 24.6 per cent in 2027.

AI Servers at the Centre of the Power Crisis

AI-optimised servers are the single largest contributor to the demand spike. According to Gartner, such servers will account for 31 per cent of total data centre power consumption in 2026. By 2027, their power draw is projected to surpass that of conventional servers — a crossover point that underscores how rapidly the AI hardware build-out is reshaping global energy infrastructure.

Linglan Wang, Director Analyst at Gartner, said: 'AI capacity is now constrained by power availability, making data centre power security the new battleground for scaling and protecting margins in the global AI race.'

Grid Supply Cannot Keep Pace

With projected consumption exceeding 1,200 TWh by 2030, existing grid infrastructure will be insufficient to support future data centre construction, according to the Gartner report. The shortfall is expected to affect all categories of data centre users — from hyperscalers to enterprise operators.

This comes amid a broader reckoning over the environmental footprint of digital infrastructure. A separate recent report found that data centres collectively consumed as much electricity as Saudi Arabia in the previous year. Should electricity use double by 2030, the associated carbon footprint would require the equivalent of 6.7 billion trees grown over a decade to offset.

What Infrastructure Leaders Must Do

Gartner is urging infrastructure and operations leaders to act now. Wang added: 'Infrastructure and operations (I&O) leaders must prioritise efficiency upgrades and secure grid access. They also need to invest in high-efficiency cooling systems and edge computing to mitigate power constraints and ensure sustainable, scalable growth.'

Notably, the convergence of power scarcity and AI ambition is reshaping investment priorities across the technology sector — with energy procurement and grid access increasingly treated as strategic assets rather than operational overhead. How governments and utilities respond to this demand curve will significantly influence where the next generation of AI infrastructure gets built.

Point of View

Not just a compute one. A near-tripling of power demand by 2030 means that grid access — not chip supply or capital — could become the binding constraint on AI expansion. The carbon offset figure (6.7 billion trees) is particularly telling: it reframes data centre growth as a climate policy issue, not just a utility planning one. Governments that control grid allocation will wield outsized influence over where AI infrastructure lands — a geopolitical dimension that the technology sector is only beginning to price in.
NationPress
29 Jul 2026

Frequently Asked Questions

How much will global data centre electricity demand grow in 2026?
Global data centre electricity demand is forecast to grow 26.4 per cent in 2026, reaching 565 TWh compared to 447 TWh in 2025, according to Gartner. The surge is primarily driven by AI workloads requiring significantly more compute power.
What is driving the spike in data centre power consumption?
Compute-intensive AI workloads are the primary driver. AI-optimised servers are expected to account for 31 per cent of data centre power consumption in 2026, and their power draw will surpass that of conventional servers by 2027, according to Gartner.
What does the data centre power demand look like by 2030?
Gartner projects data centre power demand will reach 290 GW by 2030, with electricity consumption exceeding 1,200 TWh — a level that existing grid infrastructure will be unable to support, affecting all data centre users.
What is the environmental impact of rising data centre electricity use?
A separate recent report found that data centres already consume as much electricity as Saudi Arabia annually. If consumption doubles by 2030, the carbon footprint would require 6.7 billion trees grown over ten years to offset.
What should data centre operators do to manage the power crisis?
Gartner recommends that infrastructure and operations leaders prioritise efficiency upgrades, secure grid access, and invest in high-efficiency cooling systems and edge computing to mitigate power constraints and support sustainable growth.
Nation Press
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