Machine learning contributes to predictive analytics by analyzing large datasets to identify patterns and trends that can inform future predictions. Algorithms learn from historical data, allowing them to make data-driven insights and outcomes based on previous behavior. This capability is widely applied across industries such as finance, healthcare, and marketing, enabling businesses to forecast trends, optimize operations, and improve decision-making processes. By leveraging machine learning models, organizations can achieve more accurate results, making them more proactive in addressing challenges and leveraging opportunities as they arise.