Key Takeaways
- U.S. average PUE for data centers improved from 1.8 in 2008 to 1.55 in 2022.
- Hyperscale data centers achieved average PUE of 1.10 in 2022.
- Global average data center PUE was 1.58 in 2021.
- Global data centers emitted 160 MtCO2eq in 2020 from electricity.
- Data centers contribute 2% of global ICT carbon footprint.
- U.S. data centers emitted 76 MtCO2 in 2020.
- Global data center electricity demand to double to 620-1050 TWh by 2026.
- By 2030, data centers could consume 8% of global electricity.
- AI-driven demand to push data center power to 134 GW by 2027.
- U.S. data centers consumed 200 TWh in 2022, 4.4% of national electricity.
- In Europe, data centers used 17 GW of power in 2022, 3% of total demand.
- China's data centers consumed 74 TWh in 2017, projected to 100+ TWh by 2020.
- Global data centers consumed between 196-239 TWh of electricity in 2020, representing 1-1.3% of global demand.
- By 2022, data center electricity use worldwide reached 240-340 TWh, or 1-1.3% of total electricity.
- Data centers and networks together accounted for 1.5% of global final electricity demand in 2022.
U.S. PUE fell to 1.55 by 2022 as cooling and efficiency gains outpaced rising data needs.
Efficiency and PUE
Efficiency and PUE Interpretation
Environmental and Carbon
Environmental and Carbon Interpretation
Future Projections
Future Projections Interpretation
Regional Statistics
Regional Statistics Interpretation
Worldwide Statistics
Worldwide Statistics Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Rachel Svensson. (2026, February 13). Data Center Energy Consumption Statistics. Gitnux. https://gitnux.org/data-center-energy-consumption-statistics
Rachel Svensson. "Data Center Energy Consumption Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/data-center-energy-consumption-statistics.
Rachel Svensson. 2026. "Data Center Energy Consumption Statistics." Gitnux. https://gitnux.org/data-center-energy-consumption-statistics.
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