Abstract: Based on incoPat database, this paper collected the patent technology trading information in Beijing-Tianjin-Hebei from the year 2010 to 2016. On the basis of statistical analysis, it found out the technology keywords of transferred patent title by using word segmentation and then built the keywords co-occurrence network. Through the network structure analysis, the regional hot demand technologies of Beijing-Tianjin-Hebei were identified across the communities. Firstly, the demand for manufacturing technology was the strongest. Secondly, based on the six communities network technology keywords, it dug the six hottest demand technology involving communication, medicine, manufacturing industry, electric power, electronic components and detection class. Thirdly, hot demand technology mainly focused on production process and information technology industry. When compared with the traditional documents and hot spots based on patent application data, this research gave the idea of hot spot identification of technology demand based on patent technology transaction data, which can provide the decision-making support for concerning technical market, identifying the technical requirements from technology transaction data, guiding the research and development direction and improving the conversion rate of technological achievements.