Predictive maintenance systems operate by utilizing data analysis from equipment and machinery to forecast when maintenance should be performed. They rely on sensor data, historical performance metrics, and machine learning algorithms to identify patterns that indicate potential failures. This proactive approach minimizes unexpected downtime and extends the lifespan of assets, ultimately leading to cost savings and improved operational efficiency. By analyzing trends and anomalies, predictive maintenance helps organizations optimize their maintenance schedules and resource allocation.