Stream processing is a computing paradigm that involves the continuous ingestion, processing, and analysis of real-time data streams to derive actionable insights and facilitate immediate decision-making. It enables organizations to handle large volumes of data with low latency, making it essential for applications such as real-time analytics, monitoring, and event-driven architectures.