Predictive maintenance leverages IoT (Internet of Things) technologies in manufacturing by utilizing sensors to monitor equipment's operational data in real-time. By collecting data on machinery performance, temperature, and vibrations, predictive maintenance algorithms can analyze patterns to forecast potential failures before they occur. This proactive approach minimizes downtime and repair costs, enhances equipment longevity, and optimizes maintenance schedules. Overall, it streamlines operations within factories, ensuring smoother production processes and improving overall efficiency.