Synthetic data replicates real-world scenarios for AI model training without privacy risks. It increases dataset diversity, reduces bias, and addresses scarcity issues. Using synthetic datasets improves predictive accuracy, accelerates model development, and allows organisations to experiment at scale while maintaining compliance with data privacy regulations.