Research on Optimization Strategy of Artificial Intelligence Industry Resource Allocation Based on Patent Statistical Analysis

Based on the statistical analysis method of patents, this study discusses the resource allocation optimization strategy of artificial intelligence (AI) industry. Through the analysis of the number of patent applications, hot topics of technology and regional distribution, the development trend and industrial pattern of different technical fields are revealed. It is found that technical topics such as machine learning, natural language processing (NLP) and computer vision play an important role in the AI industry and are the key directions of resource allocation. At the same time, countries such as the United States and China are in a leading position in the field of AI, and their innovation activities are at a high level, while Europe and other regions are facing certain challenges. In addition, there is a close correlation and cross-influence between technical topics, which provides an important reference for enterprises to formulate more comprehensive and effective resource allocation strategies. This study provides important theoretical support and practical guidance for the development of AI industry, and helps to promote the innovation and industrialization of AI technology.