The global Anomaly Fault Detection Market is a rapidly growing industry with a predicted value of USD 8.80 Billion by 2027. One of the significant drivers of this market is the increasing use of the Internet of Things (IoT). With the growing adoption of IoT in various industries, the number of threats and attacks has also increased, leading to the need for efficient User Behavior Anomaly Fault Detection systems. User Behavior Anomaly Fault Detection systems are critical in identifying unusual behavior patterns in data that may indicate the presence of errors or malicious activities. These systems use advanced algorithms to analyze data and detect any anomalies or outliers, providing early warning signs of potential issues. In this way, User Behavior Anomaly Fault Detection plays a critical role in ensuring the smooth functioning of IoT systems. Artificial intelligence (AI) is another major factor driving the growth of the Anomaly Fault Detection Market. With AI becoming increasingly popular across various industries, more and more organizations are looking to incorporate AI-based solutions to enhance their User Behavior Anomaly Fault Detection capabilities.