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Global Artificial Intelligence Indicator Database (GAID), 1998–2025 (Version 2)

The Global Artificial Intelligence Indicator Database (GAID) Version 2.0 is a longitudinal panel dataset integrating AI indicators from eight authoritative sources including Epoch AI and UNESCO, covering 1998–2025 across 227 countries and territories, with 24,453 unique metrics and 259,546 observations.

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Machine learning & corporaFree to access

Key facts

InstitutionHarvard Dataverse
Coverage227 countries and territories
Time span1998–2025
Scale259,546 observations, 24,453 indicators, 9 files
LicenseTerms: check the source page
AccessHarvard Dataverse

Contents & fields

The dataset contains AI indicators from eight authoritative sources, covering technical trends, infrastructure, talent, ethics and governance, innovation, etc. Data is provided in long format (Tidy Data) with the following fields:

  • Country——Country or territory name
  • ISO3——ISO3 alpha-3 country code
  • Year——Year
  • Indicator——Indicator name
  • Value——Indicator value
  • Source_File——Source file
  • Source_Type——Source type
  • Source_Year——Source year

Research uses

Suitable for global AI development comparison, AI policy analysis, technology trend forecasting, talent flow research, AI ethics and governance assessment, etc.

Information comes from the source page. Please check that page for current details and terms.

Keywords

artificial intelligenceglobal indicatorspanel dataAI governancetechnology trendstalent flow

Access & license

License: Terms: check the source page | Free to access

Why this is hard to get on your own

When obtaining integrated, multi-source, long-term global AI indicator data, researchers often face issues of data dispersion, inconsistent standards, and cleaning difficulties.

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