Predictive maintenance leverages IoT data by utilizing real-time monitoring and analytics to anticipate equipment failures before they occur. IoT sensors collect data from machinery, detecting changes in performance or signs of wear and tear. This data is then analyzed using advanced algorithms to identify patterns that indicate potential issues. By predicting when maintenance should be performed, organizations can reduce downtime, lower repair costs, and extend the lifespan of their equipment. This proactive approach not only enhances operational efficiency but also helps organizations allocate resources more effectively, improving overall productivity in industrial settings.