The implications of predictive maintenance in manufacturing include reduced downtime, lower operating costs, and enhanced equipment lifespan. By leveraging data analytics and IoT sensors, manufacturers can foresee equipment failures before they happen. This proactive approach allows for maintenance to be scheduled at optimal times, minimizing interruptions in production and avoiding costly repairs. Additionally, predictive maintenance enhances operational efficiency, as assets can be used more effectively throughout their lifecycle. Ultimately, integrating predictive maintenance practices leads to improved reliability and significant cost savings within manufacturing processes.