Environment & Energy
How much energy do data centers consume every day?
Global data centers burned through about 485 TWh of electricity in 2025, up 17% from the year before, with AI-focused facilities growing roughly 50% on their own. That is 1.5-1.7% of all electricity used worldwide (IEA, April 2026), and the growth rate is running five times faster than global electricity demand overall. By 2030, the IEA Base Case has the sector at ~945 TWh, roughly equal to Japan's entire current consumption.
Roughly 513K households every second.
Source: IEA - Key Questions on Energy and AI (April 2026), building on the Energy and AI special report (April 2025). AnythingCounter overview
What data centre energy consumption actually means
485 TWh is about equal to Germany's annual electricity consumption, or enough to run every US home for nearly four years. Data centers used all of it in a single year.
The 17% jump in 2025 alone added about 70 TWh to global demand, which is roughly Austria's total annual electricity consumption.
What this means for you
Data centers now consume about 1.5-1.7% of global electricity (~485 TWh in 2025, IEA April 2026), with AI-focused facilities growing at roughly 50% per year. That growth rate is running five times faster than global electricity demand overall, and the IEA Base Case has the sector doubling to ~945 TWh by 2030, comparable to Japan's entire current electricity use.
Streaming one hour of HD video uses about 0.036 kWh of data center energy. Multiply that by monthly viewing hours and you get a rough personal internet energy figure. For comparison, the average US household uses 30 kWh per day for everything.
The decisions being made now about where data centers are built, how they are powered, and how AI workloads are designed will lock in energy infrastructure for decades. Major cloud providers have committed to 100% renewable energy, but the definition of "renewable" and the timing of those commitments varies widely, and capex commitments suggest the buildout is accelerating regardless.
Data centre energy vs. water use, today
Cooling is the largest operational expense for data centers, and it consumes large amounts of water alongside electricity. Both are under pressure as AI workloads push heat density higher.
Energy demand: the key numbers
IEA (Apr 2026): global data centres used ~485 TWh in 2025, up 17% vs. 415 TWh in 2024, more than five times the 3% global electricity demand growth rate
AI-focused data centres grew ~50% year-on-year in 2025 alone and are projected to triple from ~155 TWh (2025) to ~465 TWh by 2030
IEA Base Case: data-centre electricity demand reaches ~945-950 TWh by 2030, about 3% of global consumption, comparable to Japan's total electricity use today
Capex of the five largest cloud/AI players (Amazon, Google, Meta, Microsoft, Equinix) surged to over $400 billion in 2025 and is set to rise a further 75% in 2026
A single generative-AI query uses roughly 10× more energy than a standard web search, but per-task energy is declining by at least an order of magnitude annually
IEA (May 2026): data-centre electricity surged 17% in 2025; Big Tech CapEx set to rise a further 75% in 2026 after surpassing $400 billion in 2025; supply-chain bottlenecks (grids, transformers, skilled labour) increasingly cap expansion speed
Data centres and the AI energy reckoning
The AI energy shock, one year on
Through most of the 2010s, data center energy consumption grew far more slowly than data traffic, because chip efficiency and cooling advances kept pace with demand. Hyperscale providers added scale, so electricity use per unit of compute kept falling. ChatGPT's November 2022 launch changed that: large language model inference is not a batch workload that can be deferred to off-peak hours, so it stacks on top of existing demand rather than replacing it. The IEA's April 2026 update put the resulting jump at 17% in 2025 alone, with AI-specific facilities up 50% and hyperscaler capex surpassing $400 billion.
What 485 TWh looks like
485 TWh is about what Germany uses in a year, or enough to run every US home for nearly four years. The IEA Base Case has that figure roughly doubling to 945 TWh by 2030, which would put data centers ahead of every country in electricity demand except China and the US. The 2025 IEA update also flags a new constraint: grid connections, transformers, and gas turbines are in short supply globally, which may cap actual growth below what demand alone would require. Water for cooling adds a separate dimension that energy figures alone don't capture: data centers used roughly 660 billion liters globally in on-site cooling in 2023, before the broader footprint methodology revised that figure substantially upward.
Global data centre energy consumption: 2010-2025
Global data-centre electricity consumption rose from ~415 TWh in 2024 to roughly 485 TWh in 2025 (IEA Key Questions on Energy and AI, April 2026), a 17% year-on-year jump, more than five times the global electricity demand growth of 3%. AI-focused data centres grew even faster at ~50% YoY. The IEA Base Case projects a doubling to ~945-950 TWh by 2030, with AI-specific consumption roughly tripling to ~465 TWh.
| Year | Rate (kWh/s) | GWh/day | Context |
|---|---|---|---|
| 2010 | 105K kWh/s | 9072.0 GWh | Pre-cloud era; moderate growth |
| 2015 | 117K kWh/s | 10080.0 GWh | Hyperscale growth with efficiency offset |
| 2019 | 295K kWh/s | 25488.0 GWh | Cloud boom; hyperscaler efficiency plateau |
| 2024 | 438K kWh/s | 37872.0 GWh | AI demand driving ~12%/year growth |
| 2025 | 513K kWh/s | 44352.0 GWh | AI-focused DCs +50% YoY; hyperscaler capex >$400B; grid/turbine bottlenecks emerge |
| 2030 (IEA Base Case) | 997K kWh/s | 86112.0 GWh | Total demand ~doubles from 2024; AI-specific roughly triples to ~465 TWh |
When data centre energy became a policy issue
- 2010IEA: global data centers use ~194 TWh; efficiency gains keep growth slow despite rapid traffic increase
- 2017Hyperscale era takes hold; Amazon, Microsoft, Google begin doubling electricity use every 4 years
- 2022ChatGPT launches (Nov 2022); AI inference demand begins exponential growth phase; 240-340 TWh baseline
- 2024IEA: ~415 TWh; AI responsible for >10% of data-centre electricity; ~12%/year growth rate
- 2025IEA (Apr 2026): ~485 TWh (+17% YoY); AI-focused DCs +50%; hyperscaler capex >$400B; grid/transformer/turbine bottlenecks emerge
- 2030IEA Base Case: ~945 TWh (~3% of global electricity); AI-specific consumption triples to ~465 TWh; comparable to Japan's total electricity use
What energy and emissions research shows
| Year | Finding | Value | Source |
|---|---|---|---|
| 2010 | IEA: global data center energy ~194 TWh; growth modest; efficiency gains offsetting demand growth | 194 TWh/year (2010) | International Energy Agency |
| 2015 | IEA: global data center energy ~215 TWh; hyperscale era begins; efficiency improvements continue | 215 TWh/year (2015) | International Energy Agency |
| 2019 | IEA: ~280 TWh; hyperscale operators double electricity use 2015-2019; cloud adoption accelerates | 280 TWh/year (2019) | International Energy Agency |
| 2022 | IEA: ~240-340 TWh (midpoint ~290); range reflects different measurement methodologies | 290 TWh/year (2022) | International Energy Agency |
| 2024 | IEA: ~415 TWh; AI workloads driving acceleration; 1.5% of global electricity | 415 TWh/year (2024) | International Energy Agency |
| 2025 | IEA (Apr 2026): ~485 TWh, +17% YoY; AI-focused DCs grew ~50%; hyperscaler capex surpasses $400B; physical bottlenecks (grids, gas turbines, transformers) begin limiting expansion | 485 TWh/year (2025) | International Energy Agency |
| 2030 | IEA Base Case: ~945-950 TWh by 2030 (~3% of global consumption); AI-specific demand triples to ~465 TWh; renewables account for ~40% of corporate PPAs signed in 2025 | 945 TWh/year forecast (2030) | International Energy Agency |
Frequently asked questions
- How much electricity do data centres consume globally?
- The IEA's April 2026 update puts global data center electricity consumption at about 485 TWh in 2025, up from 415 TWh in 2024, or 1.5-1.7% of global demand. Cryptocurrency mining adds another ~110 TWh on top of that; the IEA tracks it separately because the infrastructure overlaps but the use case differs.
- How fast is data-centre energy consumption growing?
- IEA data shows around 12% annual growth since 2017, which accelerated to 17% in 2025. AI-focused facilities grew about 50% in that same year, both well above the 3% growth rate for global electricity demand overall. Hyperscaler capex surpassed $400 billion in 2025 and is set to climb another 75% in 2026. The IEA Base Case has consumption more than doubling to ~945-950 TWh by 2030, with AI-specific demand roughly tripling.
- Does AI use significantly more energy than regular computing?
- Yes, though efficiency is catching up. A single generative-AI query uses about 10 times more energy than a traditional web search, and training a frontier large language model consumes hundreds of GWh. The IEA notes that power consumption per AI task is falling by at least an order of magnitude annually, but aggregate demand rises because the user base is growing faster than efficiency improves. AI-focused facilities are projected to triple consumption from ~155 TWh in 2025 to ~465 TWh by 2030.
Cite this rate
AnythingCounter derived rate, last checked September 2026: about 30.8 million households per minute (about 44.4 billion per day).
Method: Based on International Energy Agency 2026, converted to a per-minute rate (daily total ÷ 1,440).
Suggested citation: AnythingCounter, "Power data centers burn," September 2026, https://anythingcounter.com/data-center-energy-per-day
Primary source: International Energy Agency.
How this number is calculated, and how much to trust it
IEA (Apr 2026): global data-centre electricity ≈ 485 TWh in 2025 (up 17% vs. 415 TWh in 2024). The counter shows equivalent household-days of consumption (1 household-day ≈ 30 kWh, US average). 485 TWh ÷ 525,600 min/year × 10^9 kWh/TWh ÷ 30 kWh/household-day ≈ 30.8 million household-days per minute. AI-focused facilities alone contributed an estimated ~155 TWh in 2025 (IEA Base Case), heading toward ~465 TWh by 2030.
The IEA's April 2026 update builds on its April 2025 special report and is the most rigorously sourced independent estimate of global data center electricity use available. The 17% jump in 2025 is cross-checked against hyperscaler capital-expenditure disclosures: Amazon, Google, Meta, Microsoft, and Equinix together surpassed $400 billion in data-center capex in 2025, with another 75% increase projected for 2026. When capital flows and consumption data point the same direction, the estimate is stronger.
Sources: see below. More detail on our methodology page.
Sources
IEA - Data Centres and Data Transmission Networks (archive, superseded by Energy and AI 2025/2026) - IEA - Energy and AI (April 2025 landmark report) - IEA - Key Questions on Energy and AI (April 2026 update): data-centre electricity demand 2024-2030 - IEA - Data Centre Electricity Use Surged in 2025 (news, May 2026): global data-centre demand +17%, AI-focused +50%; Big Tech CapEx >$400 bn; doubles by 2030 to >1,000 TWh.
Worth a look... Data center water use - E-waste generated - Sand mined for chips.