The seasonal component in time series analysis refers to patterns that repeat at regular intervals due to seasonal factors, such as weather, holidays, or economic cycles. Understanding and identifying these patterns is crucial for accurate forecasting and decision-making in various fields like retail, agriculture, and finance.