A predictive model in machine learning utilizes historical data to forecast future outcomes. It employs algorithms such as regression, decision trees, or neural networks to analyze patterns in the data. By training on labeled datasets, a predictive model learns to make informed predictions on unseen data. Applications are broad, impacting sectors like finance, healthcare, and marketing by enabling data-driven decision-making and optimizing operations based on predicted trends.