Predictive maintenance is the practice of utilizing various technological and analytical tools to forecast the likelihood of potential equipment failures and malfunctions. There are several other terms that can be used interchangeably to describe this practice. These include prognostic maintenance, condition-based maintenance, health-based maintenance, and machine learning-based maintenance. The underlying concept behind these terms is the same - to use data-driven insights to predict and prevent equipment downtime, ensure maximum uptime, increase productivity, and minimize maintenance costs. The adoption of predictive maintenance has been gaining momentum across different industries, as it helps organizations to streamline their operations, improve overall efficiency, and maximize profitability.