Purpose: In this study, big data analysis methods were employed to quantitatively analyze defense-related patents and provide useful information for defense strategies and policy decisions.BRMethods: This research focused on defense patents filed domestically from 2003 to 2022 for an objective analysis. Through frequency analysis of major CPC codes over time, technological trends and changes in key research areas were identified. Association rule mining was conducted to analyze the correlation and convergence levels among technologies. Furthermore, abstract texts of patents were analyzed using TF-IDF analysis to identify keywords in the defense field. BRResults: The latest trends in technological development involve the creation of autonomous systems such as robots, unmanned systems, drones etc. driven by automation and artificial intelligence. These technologies are expected to play a crucial role in future military operations. Additionally, cyber-security capabilities, both in terms of offense and defense, are emerging as integral components of military strategy.BRConclusion: It is hoped that the technological trends and convergence levels presented in this study can be effectively utilized in future R&D technology policy formulation.
Kim et al. (2024) studied this question.