Abstract: 【Purpose/significance】Policies for the new generation of information technology industries play a crucial role in promoting industrial development and overcoming bottlenecks. Conducting quantitative evaluation and analysis on these policies is conducive to clarifying the current situation and identifying optimization directions【. Method/process】This paper selects 277 policy texts on the new generation of information technology industries from October 2010 to October 2023 as research objects to analyze the characteristics of policy evolution. It employs policy text mining methods for social network analysis of keywords and constructs a PMC index model to quantitatively evaluate and compare six types of technology industrial policies【. Result/conclusion】China´s policies for the new genera⁃ tion of information technology industries can be divided into three stages. The overall evaluation of industrial policies is good, but the results reflect the existence of some weaknesses in certain policy designs. The comparison of evaluation indicators reveals the strengths and weaknesses of the policies. The synergistic development of policy quantity and quality has facilitated technological itera⁃ tion and complementarity. The development of industrial policies relies on domestic technological progress, but there is still a certain gap compared to the forefront of global technological development. Based on this, this paper proposes policy recommendations【. Innova⁃ tion/limitation】From the perspective of technological evolution, this paper analyzes the evolution characteristics of policies for the new generation of information technology industries. It horizontally compares the PMC evaluation results of six types of technological indus⁃ trial policies, highlighting the distinct characteristics and evolutionary relationships among various technological industries. Keywords: the new generation of information technologies; quantitative evaluation of policies; PMC index model; text min