Future developments in differential privacy are likely to focus on enhancing its practicality and efficiency in various applications. This includes refining techniques to balance privacy protection with data utility, making differential privacy more applicable in real-world scenarios. We can expect advancements in algorithm design that reduce the performance penalty often associated with privacy-preserving methods. Additionally, there will be a push towards standardising differential privacy practices across industries, especially in areas handling sensitive data like healthcare and finance. As awareness of data privacy grows, we can also anticipate broader adoption of differential privacy principles in public sector data management and policy- making, leading to more robust and universally accepted privacy standards.