Predictive maintenance improves industrial operations by utilizing data analytics and machine learning to anticipate equipment failures before they occur. By continuously monitoring real-time data from machinery, companies can identify patterns and anomalies that indicate potential issues. This proactive approach allows for timely interventions, reducing unexpected downtime and maintenance costs. Predictive maintenance optimizes asset lifespan and enhances operational efficiency by scheduling maintenance only when necessary, rather than relying on traditional time-based schedules. Ultimately, it transforms maintenance practices, allowing for a more data-driven, efficient, and cost-effective approach to industrial operations.