{"id": 1228089, "name": "Estimated funding raised by privately held AI companies - Field: All", "unit": "constant 2021 US dollars", "createdAt": "2026-04-30T09:18:45.000Z", "updatedAt": "2026-05-04T17:36:31.000Z", "coverage": "", "timespan": "2016-2025", "datasetId": 7811, "shortUnit": "$", "columnOrder": 0, "shortName": "estimated_investment__field_all", "catalogPath": "grapher/artificial_intelligence/2026-04-27/cset/cset#estimated_investment__field_all", "dimensions": {"years": {"values": [{"id": 2016}, {"id": 2019}, {"id": 2020}, {"id": 2024}, {"id": 2025}, {"id": 2021}, {"id": 2022}, {"id": 2017}, {"id": 2018}, {"id": 2023}]}, "entities": {"values": [{"id": 16, "name": "Albania", "code": "ALB"}, {"id": 17, "name": "Algeria", "code": "DZA"}, {"id": 21, "name": "Argentina", "code": "ARG"}, {"id": 22, "name": "Armenia", "code": "ARM"}, {"id": 275, "name": "Asia", "code": "OWID_ASI"}, {"id": 23, "name": "Australia", "code": "AUS"}, {"id": 24, "name": "Austria", "code": "AUT"}, {"id": 25, "name": "Azerbaijan", "code": "AZE"}, {"id": 27, "name": "Bahrain", "code": "BHR"}, {"id": 28, "name": "Bangladesh", "code": "BGD"}, {"id": 29, "name": "Barbados", "code": "BRB"}, {"id": 30, "name": "Belarus", "code": "BLR"}, {"id": 4, "name": "Belgium", "code": "BEL"}, {"id": 31, "name": "Belize", "code": "BLZ"}, {"id": 34, "name": "Bolivia", "code": "BOL"}, {"id": 35, "name": "Bosnia and Herzegovina", "code": "BIH"}, {"id": 36, "name": "Botswana", "code": "BWA"}, {"id": 37, "name": "Brazil", "code": "BRA"}, {"id": 39, "name": "Bulgaria", "code": "BGR"}, {"id": 40, "name": "Burkina Faso", "code": "BFA"}, {"id": 42, "name": "Cambodia", "code": "KHM"}, {"id": 44, "name": "Canada", "code": "CAN"}, {"id": 172, "name": "Chile", "code": "CHL"}, {"id": 171, "name": "China", "code": "CHN"}, {"id": 170, "name": "Colombia", "code": "COL"}, {"id": 166, "name": "Costa Rica", "code": "CRI"}, {"id": 143, "name": "Cote d'Ivoire", "code": "CIV"}, {"id": 165, "name": "Croatia", "code": "HRV"}, {"id": 163, "name": "Cyprus", "code": "CYP"}, {"id": 162, "name": "Czechia", "code": "CZE"}, {"id": 161, "name": "Denmark", "code": "DNK"}, {"id": 160, "name": "Dominican Republic", "code": "DOM"}, {"id": 201, "name": "Ecuador", "code": "ECU"}, {"id": 65, "name": "Egypt", "code": "EGY"}, {"id": 259, "name": "El Salvador", "code": "SLV"}, {"id": 156, "name": "Estonia", "code": "EST"}, {"id": 158, "name": "Ethiopia", "code": "ETH"}, {"id": 276, "name": "Europe", "code": "OWID_EUR"}, {"id": 155, "name": "Finland", "code": "FIN"}, {"id": 3, "name": "France", "code": "FRA"}, {"id": 152, "name": "Georgia", "code": "GEO"}, {"id": 6, "name": "Germany", "code": "DEU"}, {"id": 150, "name": "Ghana", "code": "GHA"}, {"id": 149, "name": "Greece", "code": "GRC"}, {"id": 148, "name": "Guatemala", "code": "GTM"}, {"id": 139, "name": "Honduras", "code": "HND"}, {"id": 138, "name": "Hungary", "code": "HUN"}, {"id": 207, "name": "Iceland", "code": "ISL"}, {"id": 137, "name": "India", "code": "IND"}, {"id": 136, "name": "Indonesia", "code": "IDN"}, {"id": 135, "name": "Iran", "code": "IRN"}, {"id": 134, "name": "Iraq", "code": "IRQ"}, {"id": 2, "name": "Ireland", "code": "IRL"}, {"id": 133, "name": "Israel", "code": "ISR"}, {"id": 8, "name": "Italy", "code": "ITA"}, {"id": 132, "name": "Jamaica", "code": "JAM"}, {"id": 14, "name": "Japan", "code": "JPN"}, {"id": 130, "name": "Jordan", "code": "JOR"}, {"id": 131, "name": "Kazakhstan", "code": "KAZ"}, {"id": 129, "name": "Kenya", "code": "KEN"}, {"id": 208, "name": "Kuwait", "code": "KWT"}, {"id": 126, "name": "Kyrgyzstan", "code": "KGZ"}, {"id": 122, "name": "Latvia", "code": "LVA"}, {"id": 124, "name": "Lebanon", "code": "LBN"}, {"id": 119, "name": "Lithuania", "code": "LTU"}, {"id": 210, "name": "Luxembourg", "code": "LUX"}, {"id": 118, "name": "Madagascar", "code": "MDG"}, {"id": 116, "name": "Malaysia", "code": "MYS"}, {"id": 212, "name": "Malta", "code": "MLT"}, {"id": 213, "name": "Mauritius", "code": "MUS"}, {"id": 113, "name": "Mexico", "code": "MEX"}, {"id": 111, "name": "Moldova", "code": "MDA"}, {"id": 112, "name": "Mongolia", "code": "MNG"}, {"id": 110, "name": "Morocco", "code": "MAR"}, {"id": 5, "name": "Netherlands", "code": "NLD"}, {"id": 106, "name": "New Zealand", "code": "NZL"}, {"id": 103, "name": "Nigeria", "code": "NGA"}, {"id": 294, "name": "North America", "code": "OWID_NAM"}, {"id": 66, "name": "North Macedonia", "code": "MKD"}, {"id": 102, "name": "Norway", "code": "NOR"}, {"id": 277, "name": "Oceania", "code": "OWID_OCE"}, {"id": 217, "name": "Oman", "code": "OMN"}, {"id": 101, "name": "Pakistan", "code": "PAK"}, {"id": 100, "name": "Panama", "code": "PAN"}, {"id": 98, "name": "Paraguay", "code": "PRY"}, {"id": 97, "name": "Peru", "code": "PER"}, {"id": 96, "name": "Philippines", "code": "PHL"}, {"id": 11, "name": "Poland", "code": "POL"}, {"id": 95, "name": "Portugal", "code": "PRT"}, {"id": 226, "name": "Qatar", "code": "QAT"}, {"id": 92, "name": "Romania", "code": "ROU"}, {"id": 12, "name": "Russia", "code": "RUS"}, {"id": 227, "name": "Saint Kitts and Nevis", "code": "KNA"}, {"id": 90, "name": "Saudi Arabia", "code": "SAU"}, {"id": 89, "name": "Senegal", "code": "SEN"}, {"id": 88, "name": "Serbia", "code": "SRB"}, {"id": 233, "name": "Seychelles", "code": "SYC"}, {"id": 86, "name": "Singapore", "code": "SGP"}, {"id": 85, "name": "Slovakia", "code": "SVK"}, {"id": 83, "name": "Slovenia", "code": "SVN"}, {"id": 81, "name": "South Africa", "code": "ZAF"}, {"id": 295, "name": "South America", "code": "OWID_SAM"}, {"id": 127, "name": "South Korea", "code": "KOR"}, {"id": 9, "name": "Spain", "code": "ESP"}, {"id": 141, "name": "Sri Lanka", "code": "LKA"}, {"id": 10, "name": "Sweden", "code": "SWE"}, {"id": 7, "name": "Switzerland", "code": "CHE"}, {"id": 198, "name": "Taiwan", "code": "TWN"}, {"id": 76, "name": "Tajikistan", "code": "TJK"}, {"id": 64, "name": "Tanzania", "code": "TZA"}, {"id": 75, "name": "Thailand", "code": "THA"}, {"id": 71, "name": "Tunisia", "code": "TUN"}, {"id": 70, "name": "Turkey", "code": "TUR"}, {"id": 68, "name": "Uganda", "code": "UGA"}, {"id": 67, "name": "Ukraine", "code": "UKR"}, {"id": 72, "name": "United Arab Emirates", "code": "ARE"}, {"id": 1, "name": "United Kingdom", "code": "GBR"}, {"id": 13, "name": "United States", "code": "USA"}, {"id": 63, "name": "Uruguay", "code": "URY"}, {"id": 62, "name": "Uzbekistan", "code": "UZB"}, {"id": 238, "name": "Venezuela", "code": "VEN"}, {"id": 84, "name": "Vietnam", "code": "VNM"}, {"id": 355, "name": "World", "code": "OWID_WRL"}, {"id": 60, "name": "Zambia", "code": "ZMB"}, {"id": 80, "name": "Zimbabwe", "code": "ZWE"}]}}, "descriptionShort": "Money raised by privately held AI companies through venture capital, private equity, and mergers and acquisitions. This includes CSET's own estimates for deals where the amount wasn't disclosed. Expressed in US dollars, adjusted for inflation.", "descriptionProcessing": "- We adjust the data for inflation so that values can be compared across years.\n- Reporting a time series of AI investments in nominal prices would make it difficult to compare observations across time. To make these comparisons possible, one has to take into account that prices change (inflation).\n- It is not obvious how to adjust this time series for inflation, and our team discussed the best solutions at our disposal.\n- It would be straightforward to adjust the time series for price changes if we knew the prices of the specific goods and services purchased through these investments. This would make it possible to calculate a volume measure of AI investments and tell us how much these investments bought. But such a metric is not available. While a comprehensive price index is not available, we know that the cost of some crucial AI technology has fallen rapidly in price.\n- In the absence of a comprehensive price index that captures the price of AI-specific goods and services, one has to rely on one of the available metrics for the price of a bundle of goods and services. Ultimately, we decided to use the US Consumer Price Index (CPI).\n- The US CPI does not provide us with a volume measure of AI goods and services, but it does capture the opportunity costs of these investments. The inflation adjustment of this time series of AI investments, therefore, lets us understand the size of these investments relative to whatever else these sums of money could have purchased.\n- We calculate regional and global totals from the country-level data CSET provides, following our [region definitions](https://ourworldindata.org/world-region-map-definitions). Countries that are not covered by the source are excluded from these totals. We do not show Africa's regional total. The source covers too few African countries to produce a meaningful aggregate.", "type": "int", "grapherConfigIdETL": "019dddae-fb45-7c3c-8a49-de2e4fc82834", "dataChecksum": "14022191650766727899", "metadataChecksum": "6595071860446940961", "datasetName": "Country Activity Tracker: Artificial Intelligence", "updatePeriodDays": 180, "datasetVersion": "2026-04-27", "nonRedistributable": false, "display": {"unit": "constant 2021 US dollars", "shortUnit": "$", "numDecimalPlaces": 0}, "schemaVersion": 2, "processingLevel": "major", "presentation": {"attributionShort": "CSET", "topicTagsLinks": ["Artificial Intelligence"]}, "descriptionKey": ["This data tracks the flow of external money into private companies. It excludes internal spending on R&D and infrastructure.", "On the recipient side, this only includes privately held AI companies. It excludes publicly traded companies like \"Big Tech\".", "On the investor side, this includes any equity investor \u2014 venture capital firms, private equity firms, corporate investors (including \"Big Tech\" companies), and sovereign wealth funds. Only equity transactions are counted; grants, debt finance, and crowdfunding are excluded.", "Where deal amounts aren't publicly disclosed \u2014 typically around 40% of the total \u2014 CSET assigns them an estimated value based on comparable deals.", "This data only covers specific types of funding, and doesn't reflect total global spending on AI."], "origins": [{"id": 14419, "title": "Country Activity Tracker: Artificial Intelligence", "description": "ETO's Country AI Activity Metrics dataset includes national-level metrics for AI-related research, patents, and private-market investment.\n\nThe metrics are derived from a variety of underlying data sources, including ETO's Merged Academic Corpus for research data; The Lens, PATSTAT, and 1790 Analytics for patents; and Crunchbase for company and investment data.\n\nThe dataset focuses on countries, not organizations or individuals, and on AI and its subfields. There are many ways to assess countries' AI activities, and the three types of metrics included here, while meaningful, are not exhaustive. The data also has a lag, making counts incomplete for recent years; the lag is especially significant for patent data.", "producer": "Center for Security and Emerging Technology", "citationFull": "Emerging Technology Observatory [Country Activity Tracker: Artificial Intelligence](https://cat.eto.tech/?expanded=Summary-metrics)", "attributionShort": "CSET", "urlMain": "https://cat.eto.tech/", "urlDownload": "https://zenodo.org/records/19103157/files/cat.zip?download=1", "dateAccessed": "2026-04-27", "datePublished": "2026-03-19", "license": {"url": "https://eto.tech/tou/", "name": "CC BY-NC 4.0"}}, {"id": 14227, "title": "US consumer prices", "description": "The Bureau of Labor Statistics reports the monthly Consumer Price Index (CPI) of individual goods and services for urban consumers at the national, city, and state levels. CPI is presented on an annual basis, which we have derived as the average of the monthly CPIs in a given year.", "producer": "U.S. Bureau of Labor Statistics", "citationFull": "U.S. Bureau of Labor Statistics", "urlMain": "https://www.bls.gov/data/tools.htm", "dateAccessed": "2026-03-20", "datePublished": "2026", "license": {"url": "https://www.bls.gov/opub/copyright-information.htm", "name": "Public domain"}}]}