Over the past few decades, significant advancement has been made in implementing data-driven methods for the prediction, optimization and automation of CFRP machining process. In the present review, four typical application scenarios of data-driven methods have been identified, and it presents a comprehensive and critical review of the latest research in this emerging field. The following conclusions can be drawn: