{"id": 1228821, "name": "Share of total electricity demand coming from data centers", "unit": "%", "createdAt": "2026-05-04T08:22:58.000Z", "updatedAt": "2026-05-08T07:33:02.000Z", "coverage": "", "timespan": "2020-2025", "datasetId": 7816, "shortUnit": "%", "columnOrder": 0, "shortName": "total_electricity_consumption__share_of_total_electricity_demand__historical", "catalogPath": "grapher/artificial_intelligence/2026-04-27/energy_ai/energy_ai#total_electricity_consumption__share_of_total_electricity_demand__historical", "descriptionShort": "Data center electricity consumption as a share of total electricity demand of the country or region. Data centers power a wide range of online services beyond AI, such as streaming services and cloud storage. The data does not allow a separate estimate for AI use.", "descriptionProcessing": "We combine two sources: data center electricity consumption from the IEA (the numerator) and total electricity demand from [Ember](https://ember-energy.org/data/electricity-data-explorer/?tab=main&chart=trend&data=demand&fuel=total) (the denominator).\n\nFor each region, we build the denominator by summing Ember's electricity demand across the IEA member countries in that region. For the global estimate, we use Ember's world total directly rather than summing across the IEA's regional aggregates. The IEA does not publish a Eurasia aggregate in this dataset, and Eurasia includes Russia \u2014 one of the world's largest electricity consumers \u2014 so summing across the IEA regions would exclude Eurasia entirely and undercount global electricity demand.\n\nThis produces a global share of approximately 1.5% in 2025, consistent with the IEA's own reporting.", "type": "float", "dataChecksum": "7546214141349316168", "metadataChecksum": "-3035138473396962214", "datasetName": "Energy and AI", "updatePeriodDays": 365, "datasetVersion": "2026-04-27", "nonRedistributable": false, "display": {"unit": "%", "shortUnit": "%", "numDecimalPlaces": 1}, "schemaVersion": 2, "processingLevel": "major", "presentation": {"topicTagsLinks": ["Artificial Intelligence", "Energy"]}, "descriptionKey": ["This indicator shows what share of a country\u2019s or region\u2019s total electricity demand comes from data centers.", "It covers total data-center electricity use (including cooling and other support systems), across both general-purpose and AI-specialized servers.", "The IEA does not publish a regional aggregate for Eurasia, which includes Russia."], "dimensions": {"years": {"values": [{"id": 2020}, {"id": 2023}, {"id": 2024}, {"id": 2025}]}, "entities": {"values": [{"id": 372374, "name": "Africa (IEA)", "code": null}, {"id": 372375, "name": "Asia Pacific (IEA)", "code": null}, {"id": 372380, "name": "Central and South America (IEA)", "code": null}, {"id": 171, "name": "China", "code": "CHN"}, {"id": 372377, "name": "Europe (IEA)", "code": null}, {"id": 372378, "name": "Middle East (IEA)", "code": null}, {"id": 372382, "name": "North America (IEA)", "code": null}, {"id": 13, "name": "United States", "code": "USA"}, {"id": 355, "name": "World", "code": "OWID_WRL"}, {"id": 372379, "name": "World excl. United States and China", "code": null}]}}, "origins": [{"id": 10737, "title": "Energy and AI", "descriptionSnapshot": "This dataset contains world and regional data on energy consumption and infrastructure related to artificial intelligence, including:\n- Installed capacity\n- Power usage effectiveness (PUE)\n- Load factor\n- Electricity consumption\n\nThe data provides insights into the energy requirements and efficiency of AI infrastructure globally.\n", "producer": "International Energy Agency", "citationFull": "International Energy Agency (IEA), 'Energy and AI'. Published online at iea.org. Retrieved from: 'https://www.iea.org/data-and-statistics/data-product/energy-and-ai' [online resource]", "urlMain": "https://www.iea.org/data-and-statistics/data-product/energy-and-ai", "dateAccessed": "2025-11-07", "datePublished": "2025-06-16", "license": {"url": "https://www.iea.org/terms", "name": "\u00a9 OECD/IEA 2024"}}, {"id": 14433, "title": "Energy and AI", "descriptionSnapshot": "This dataset contains world and regional data on energy consumption and infrastructure related to artificial intelligence, including:\n- Installed capacity\n- Power usage effectiveness (PUE)\n- Load factor\n- Electricity consumption\n\nThe data provides insights into the energy requirements and efficiency of AI infrastructure globally.", "producer": "International Energy Agency", "citationFull": "International Energy Agency (IEA), 'Key Questions on Energy and AI'. Published online at iea.org. Retrieved from: 'https://www.iea.org/data-and-statistics/data-product/key-questions-on-energy-and-ai#data-set' [online resource]", "urlMain": "https://www.iea.org/data-and-statistics/data-product/key-questions-on-energy-and-ai#data-set", "dateAccessed": "2026-04-27", "datePublished": "2026-04-16", "license": {"url": "https://www.iea.org/terms", "name": "\u00a9 OECD/IEA 2024"}}, {"id": 14389, "title": "Yearly Electricity Data Europe", "description": "This dataset contains yearly electricity generation, capacity, emissions, imports and demand data for European countries.\n\nYou can find more about Ember's methodology in [this document](https://files.ember-energy.org/public-downloads/ember_electricity_data_methodology.pdf).", "producer": "Ember", "citationFull": "Ember - Yearly Electricity Data Europe (2026).\n\nMost of the data is taken from the European Commission's Eurostat annual data.", "attributionShort": "Ember", "urlMain": "https://ember-energy.org/data/yearly-electricity-data/", "urlDownload": "https://files.ember-energy.org/public-downloads/europe_yearly_full_release_long_format.csv", "dateAccessed": "2026-04-24", "datePublished": "2026-04-21", "license": {"url": "https://ember-energy.org/creative-commons/", "name": "CC BY 4.0"}}, {"id": 14390, "title": "Yearly Electricity Data", "description": "This dataset contains yearly electricity generation, capacity, emissions, import and demand data for over 200 geographies.\n\nYou can find more about Ember's methodology in [this document](https://files.ember-energy.org/public-downloads/ember_electricity_data_methodology.pdf).", "producer": "Ember", "citationFull": "Ember - Yearly Electricity Data (2026).\n\nThe data is collected from multi-country datasets (EIA, Eurostat, Energy Institute, UN) as well as national sources (e.g China data from the National Bureau of Statistics).", "attributionShort": "Ember", "urlMain": "https://ember-energy.org/data/yearly-electricity-data/", "urlDownload": "https://files.ember-energy.org/public-downloads/yearly_full_release_long_format.csv", "dateAccessed": "2026-04-24", "datePublished": "2026-04-21", "license": {"url": "https://ember-energy.org/creative-commons/", "name": "CC BY 4.0"}}]}