In order to optimize the research landscape in the field of traditional Chinese medicine (TCM) analysis and provide data support for enhancing research quality, a systematic analysis was conducted on the research progress and development trends in this field over the past five years. Based on the integration of literature from multi-source Chinese and English databases, a standardized sample set was constructed, and the overall research activities was grasped through quantitative analysis of annual publication trends. The visualization analysis software CiteSpace 6.4.R1 was utilized to systematically analyze author collaboration patterns, institutional collaboration networks, research thematic structures, and emerging frontiers. This approach synthesized evolutionary patterns in research hotspots and cutting-edge advancement trajectories within the domain. The results indicate that research activity in the field of TCM analysis remains consistently high. Representative research teams have emerged, led by scholars such as LI Ping, QIN Xuemei, MIAO Mingsan, and MA Shuangcheng, among others. TCM-specialized higher education institutions are the primary research force. Current research focuses on qualitative and quantitative analyses of single herbs and compound formulations, along with the pharmacodynamic mechanistic evaluation. Rapid growth of emerging methodologies, including programmed cell death mechanisms (pyroptosis, apoptosis), spatial metabolomics mass spectrometry imaging, organoid models, and artificial intelligence, now serves as key innovation drivers. This work systematically reveals the increasingly interdisciplinary and technology-driven nature of TCM analysis research, providing objective guidance for research prioritization, collaboration network development, and technological innovation pathways.