Continual Learning is a machine learning approach where AI systems continuously acquire and adapt to new information over time. It enables models to learn from ongoing data streams without forgetting prior knowledge, addressing challenges like catastrophic forgetting. This capability is essential for developing adaptable, real-world AI applications such as personalized assistants, autonomous vehicles, and evolving recommendation systems.