<p>Currently, a number of new concepts have emerged over the last ten years, such as predictive maintenance, which plays a key role in keeping production running smoothly. The aim is to minimize downtime, cut costs, improve productivity and extend machine life cycles. In this article, we will take an in-depth look at the work published in the literature on predictive maintenance of rotating machines using vibration monitoring. Vibration analysis, as an essential method of predictive maintenance, relies on the observation of vibration signals generated by rotating machines to diagnose their failures. This method is crucial in industrial processes, as it enables anomalies to be detected before they lead to major breakdowns. Thus, this study offers a thorough analysis of articles utilizing various types of predictive maintenance methods to identify and diagnose different types of machines faults, this underlines their strengths and limitations, presents an overview of classical and advanced methodologies to predictive analyses, comprehensively discusses available machine fault datasets.</p>