This paper aims to explore the status quo and trends of Technology Forecasting (TF) research. Literatures about TF are extracted from CNKI and imported into CiteSpace. Based on CiteSpace, the scientific knowledge map software, the paper carries out visual co-occurrence and cluster analysis from the perspectives of document dimensions and content dimensions. The analysis shows that: (i) cooperative researches in TF are almost limited to the same discipline; (ii) research method about TF mainly includes TRIZ theory, Bibliometrics, text mining and knowledge map, and reflects the development characteristics from qualitative to quantitative and then from digital to knowledge; (iii) research direction of TF mainly includes topic identification of emerging technology, technology opportunity discovery, disruptive technology forecasting and situation exploration, and reflects the development trend of deepening empirical application.