Industry

Data Processing & Outsourced Services

In 2023, the AI revolution reached new heights with remarkable growth. Data Processing & Outsourced Services witnessed a surge in AI-related activities, filling 814 new patents (-52% with respect to 2022) on Artificial Intelligence.

This plot displays the number of ai patents on Data Processing & Outsourced Services over time.

Source: The OECD RegPat Database
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There has been a striking divergence in Data Processing & Outsourced Services development across countries over time. Overall, we observe that most of the development in the field lies in a few advanced countries.

The countries with more number of patents in Data Processing & Outsourced Services in the period 2019-2023 were United States, China, Japan, South Korea, and Germany.

Source: The OECD RegPat Database
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This treemap visualization offers a comprenhensive overview of AI distribution across countries in Data Processing & Outsourced Services.

This visualization underscores the pervasive nature of AI across the economy, highlighting both expected and surprising areas of AI startup concentration and innovation.

Source: Crunchbase
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Here we provide a visual representation of country-level competitiveness by comparing the Revealed Comparative Advantage (RCA) on the x-axis with relatedness density on the y-axis. RCA is an indicator that highlights the countries that exhibits a competitive edge in Data Processing & Outsourced Services, while relatedness density measures how connected Data Processing & Outsourced Services is to others within the broader economic structure.

Higher RCA values suggest that a country has a strong competitive position internationally in Data Processing & Outsourced Services, while higher relatedness density indicates that Data Processing & Outsourced Services is deeply integrated into the economy, with potential for further growth and diversification. This comparison allows us to identify countries with both high competitiveness and strong growth potential based on their embeddedness in the economic network.

Source: Calculated by CEPS Data Science Team, Data obtained from the OECD RegPat Database
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