In 2023, the AI revolution reached new heights with remarkable growth. Semiconductor Materials & Equipment witnessed a surge in AI-related activities, filling 17 new patents (-39% with respect to 2022) on Artificial Intelligence.
This plot displays the number of ai patents on Semiconductor Materials & Equipment over time.
There has been a striking divergence in Semiconductor Materials & Equipment 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 Semiconductor Materials & Equipment in the period 2019-2023 were undefined, undefined, undefined, undefined, and undefined.
This treemap visualization offers a comprenhensive overview of AI distribution across countries in Semiconductor Materials & Equipment.
This visualization underscores the pervasive nature of AI across the economy, highlighting both expected and surprising areas of AI startup concentration and innovation.
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 Semiconductor Materials & Equipment, while relatedness density measures how connected Semiconductor Materials & Equipment is to others within the broader economic structure.
Higher RCA values suggest that a country has a strong competitive position internationally in Semiconductor Materials & Equipment, while higher relatedness density indicates that Semiconductor Materials & Equipment 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.