Predictive maintenance software uses data analysis to predict when equipment might fail, allowing organizations to perform maintenance before a breakdown occurs. By monitoring the condition of machinery and analyzing historical performance data, this software helps reduce downtime and maintenance costs. This technology often employs techniques like machine learning and IoT sensors to gather real-time data from equipment. It can be applied across various industries, including manufacturing, transportation, and energy, ensuring that assets are maintained efficiently and effectively, ultimately improving operational reliability.