Big Data is driving innovation in scientific research by enabling data-driven discoveries across multiple disciplines. In astronomy, researchers analyze massive datasets from telescopes and satellites to study cosmic phenomena. Machine learning algorithms help identify exoplanets, black holes, and other celestial objects from vast amounts of observational data.

In climate science, Big Data is used to model climate change patterns, predict natural disasters, and optimize renewable energy solutions. Weather forecasting systems rely on real-time sensor data, satellite imagery, and historical climate records to improve prediction accuracy.

In genomics and biotechnology, scientists use Big Data to analyze DNA sequences, identify genetic mutations, and develop personalized medicine. AI-driven research platforms accelerate drug discovery and genetic engineering by processing complex biological datasets.