Digitalization is transforming the world and opening up new opportunities in industrial sectors, including ship systems, by unlocking real value from data. Moving from vision to tangible value, these digitalization programs are driving real impacts both on land and at sea. We’re now seeing plant and energy systems fully connected to the cloud, improving safety, productivity, accessibility, sustainability and situational awareness, bringing real value to operators. No matter how stringent the rules governing the design, testing and integration of ship’s equipment and systems, maintenance, repair of equipment and avoidance of downtime always present a challenge and therefore it is a high priority for any ship’s crew to continue operation, extend the life of valuable assets, and enhance performance and mission readiness. Accessing systems information from any location, automatic diagnosis would provide quicker command and control of intelligent devices. The Internet allows real-time access anywhere on the globe through open protocols. Similarly, unplanned downtime is one of the key cost drivers in ship systems; an asset performance management solution allows the shift from traditional calendar-based maintenance to predictive maintenance, significantly reducing unplanned downtime and maintenance costs, thus, allowing operators to plan corrective maintenance around operations to further reduce unplanned downtime. As digitalisation is becoming an integral part of the maritime sector, more and more operators can benefit from its use. Monitoring all assets of the power and propulsion systems for data collection and analytics is available as a standard feature and provides a holistic view of the plant performance. Modelling of products and systems has been around for decades, but it is only in recent years that the digital twin has captured imagination and come into the mainstream. This allows ship equipment and systems to be compared to their perfectly healthy digital twins –digital replicas built on validated data models plus normal operating profile. By spotting data variations, the software can simulate how the ship will perform without needing to test it in the real world, will automatically indicate future potential electrical or mechanical faults and inform the operator in real time what to fix or what is broken or warns to take immediate actions to instantly adjust parameters to avoid overloading the equipment and ensure their peak performance. Studies completed to date have resulted in considerable reduction in operational expenditures across the targeted equipment. Having a digital twin can also help capture knowledge and reuse it in the design process, train operators and avoid repeated pitfalls to ensure operations are carried out with improved efficiency. An example of this can be optimizing fuel consumption and reducing emissions for a particular voyage, by including external factors such as wind, current and weather conditions. This paper will cover methods adopted for asset performance management with advanced analytics to detect off-standard behaviour to enhance predictive capabilities for equipment/system and ultimately enable predictive maintenance, reduce unplanned downtime and allow personnel on-board to focus their resources on maintenance activities that are truly needed and effective.