The existing studies on data-driven prediction of CFRP machining performance can be classified into four main categories/applications: process characteristics and quality/defects prediction, tool wear prediction, material transition recognition in CFRP/metal stack machining and vision-based machining defects recognition. The relevant studies on these four categories will be reviewed and critically discussed in detail in this section.