Predictive analytics has become a critical tool for modern organizations seeking business growth, operational efficiency, and long-term sustainability. By using historical data, statistical models, machine learning algorithms, and artificial intelligence, predictive analytics enables businesses to forecast future trends, identify risks, optimize resources, and make evidence-based decisions. In the context of sustainability, predictive analytics supports environmental, social, and governance goals by improving energy efficiency, reducing waste, strengthening supply chains, and enabling responsible resource allocation. This research article examines the role of predictive analytics in driving business growth and sustainability. It explores key technologies, applications, benefits, challenges, and future directions. The study finds that organizations adopting predictive analytics can improve revenue performance, customer retention, market competitiveness, and sustainability outcomes. However, successful implementation requires high-quality data, skilled professionals, ethical governance, and integration with organizational strategy.