Predictive maintenance has been a key component of the aerospace sector in the United Kingdom, helping to guarantee the dependability and security of aircraft. Predictive maintenance systems have reportedly cut maintenance costs by 15% and unscheduled downtime by 20% in major airlines, according to a Johnson (2017) study. The findings of this study are divided into conceptual and contextual research gap categories. This paper further describes the machine learning approach for predictive maintenance in manufacturing companies, furthermore, highlights on the potential opportunities have been suggested at the end of this paper.