Dynamic pricing optimization in the airline industry has evolved significantly with the advent of big data analytics. This research explores the role of advanced technologies such as artificial intelligence (AI), machine learning (ML), blockchain, and the Internet of Things (IoT) in refining pricing models to maximize revenue while enhancing customer satisfaction. It examines how real-time data analysis, sentiment tracking, and predictive modeling contribute to dynamic fare adjustments. Furthermore, ethical and regulatory issues are covered to guarantee fairness in pricing plans. The study focuses on future possibilities for revolutionising airline pricing mechanisms, with a particular emphasis on hyper-personalisation, smart contracts, and AI-powered assistants.