Predictive maintenance in industrial operations functions as a proactive approach that uses data analytics to foresee equipment failures before they occur. By monitoring the condition of machines through sensors and data collection, businesses can schedule timely maintenance, reducing unexpected downtimes and maintenance costs. This model leverages predictive analytics to analyze historical data, optimizing the lifespan of machines and enhancing overall operational efficiency. As a result, it empowers companies to improve productivity and ensure safety in industrial environments by avoiding catastrophic breakdowns.