The economic and legal framework is transforming with the change in the globalization paradigm, accompanied by structural and quantitative changes in intellectual property assessment. This study aims to justify commercialization and analyze the innovation management of intellectual property as a fundamental socio-economic institution and improve theoretical perspectives on its current development processes. This study surveyed 100 companies to identify the factors determining intellectual property use and its commercialization. The analysis of the structure of intellectual property revealed a 14% decrease in trademark applications and a 2% increase in patent applications. This research highlights the specifics of intellectual property generation through machine learning: mass creation of new objects, reduction in innovation product development cycles, increased accuracy of market demand forecasting, and adaptive problem solving. An analysis of budget expenditures on intellectual property in the EU based on the specific value of patent activity identified five classification groups (ranging from 0.17 to 0.23% to 1.23–2.26% of GDP), each exhibiting different economic activities and innovation intensity.
Koval et al. (Tue,) studied this question.