Predictive maintenance in manufacturing plays a critical role in optimizing equipment performance and minimizing unexpected breakdowns. By analyzing data from sensors and machinery, manufacturers can anticipate when equipment requires maintenance before failures occur. This proactive approach reduces downtime, extends the lifespan of machinery, and lowers repair costs. Predictive maintenance relies on sophisticated analytics and machine learning algorithms to detect patterns and anomalies, enhancing overall operational efficiency. By integrating predictive maintenance practices, manufacturers can improve productivity and maintain a competitive edge in the market.