Predictive analytics uses historical data, machine learning, and statistical algorithms to forecast future events. As a part of Big Data analytics, it helps businesses anticipate trends, identify risks, and seize opportunities. By leveraging vast datasets, predictive models can forecast everything from consumer behavior to equipment failures in industries.

In the automotive sector, for instance, predictive analytics is used to anticipate maintenance needs, improving vehicle reliability. In finance, predictive models help assess credit risk and detect fraud. The growing use of artificial intelligence (AI) in predictive analytics enhances accuracy and provides deeper insights. As industries continue to adopt Big Data, the demand for predictive analytics will only increase, giving organizations a powerful tool to stay competitive and proactive.