https://www.databridgemarketresearch.com/reports/global-big-data-security-market Big data security refers to the collective measures, tools, and policies used to safeguard large datasets and the infrastructure that processes them. Unlike standard cybersecurity, big data security must handle distributed computing environments (like Hadoop or Spark) and non-relational databases (NoSQL). In 2026, the market is driven by the rapid adoption of Artificial Intelligence (AI) and Machine Learning (ML) to detect anomalies in real-time. Organizations are no longer just reacting to breaches; they are using predictive analytics to forecast risks. The integration of Cloud-native security and Zero Trust Architectures has become the standard for enterprises managing petabytes of sensitive information.