Patent documents contain important information for marketing research and product development. However, patent documents are massively accumulated which not only take time but human’s efforts to read through all the documents. In this research, a framework of integrating TRIZ and IPC classification will be approached for patent analysis in order to receive the crucial information without reading through the documents. TRIZ can reveal the features of the inventions described in patent documents which compensate IPC classification that only considers the application fields. Different from the traditional patent maps which only analyze the categories in patent documents, this research framework can bring out a clearer view of patents and the relations between application fields and inventions it selves.