Technical Invention Trend Analysis of Applicants Based on CPC Classification

Recently, with the rapid development of science and technology, new technologies are rapidly emerging, and applicants are making efforts to acquire intellectual property rights to prevail the competitive advantage of technology and enhance technological competitiveness. As a result, the number of patents invented increases rapidly every year, and the ripple effects of the developed technologies are also increasing in terms of social and economic aspects. Therefore, applicants are focusing on evaluating the value of existing invented technologies to invent more valuable technologies. Although existing patent analysis studies mainly focus on discovering core technologies among the technologies derived from patents or analyzing trend changes for specific techniques. Therefore, the analysis of applicants who develop such core technologies is insufficient. In this paper, we propose a model for analyzing the technical inventions of applicants based on CPC classification codes. Through the proposed model, the common invention patterns of applicants are extracted, and the technical inventions of applicants are analyzed using the patterns. We prove that applicants have different invention patterns and trends in inventing technologies.