Quantum Machine Learning (QML) can transform the maritime sector by combining artificial intelligence (AI), deep machine learning and quantum computing in naval engineering and ship management. Quantum computing, when compared with classical computing, offers greater performance and cost efficiency by incorporating well-known principles from quantum physics, such as superposition and entanglement. In complex naval contexts, QML technology can enable the quick optimization of fuel-efficient routes, large-scale data processing, and enhanced forecasting models for weather and ocean conditions, which are crucial for optimal navigation and planning in dynamic marine environments. QML accelerates real-time sensor data analysis, facilitating the earlier detection of equipment failures and improving the overall operational efficiency of ships. In addition, to optimize maritime logistics challenges such as fleet management, port congestion, and cargo scheduling, QML can offer faster and more efficient solutions than classical AI and ML algorithms. In addition, quantum cryptography strengthens the communication security between ships, ship owners, and ports, while its ability to process high-dimensional noisy data more efficiently improves autonomous ship navigation and decision-making. This includes improved situational awareness and precise obstacle avoidance. Finally, QML could deliver revolutionary advantages to the shipping industry, guaranteeing more robust and secure global marine operations by facilitating more sustainable and efficient practices with reduced costs, as well as by enhancing safety through more effective predictive maintenance and advanced cybersecurity.