The role of data analytics in predictive maintenance is to analyze historical and real-time data to identify patterns and predict equipment failures. By employing algorithms and statistical models, organizations can gauge the health of machines, anticipate malfunctions, and schedule maintenance proactively. This approach minimizes unplanned downtime, reduces repair costs, and extends equipment lifespan. Overall, data analytics transforms maintenance strategies from reactive to proactive, optimizing operational efficiency and resource management.