Predictive models analyze historical data and patterns in network traffic to anticipate future demands, such as potential traffic spikes. By forecasting these trends, network administrators can proactively allocate resources, ensuring that the network has sufficient capacity to handle anticipated load increases. This approach helps maintain optimal performance and minimizes the risk of congestion or bottlenecks.