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Shipping
By analyzing this data, AI systems can predict optimal routes and speeds, forecast maintenance needs, and reduce the likelihood of breakdowns. This proactive approach, called“ predictive maintenance”, helps minimize vessel downtime. For example, the Danish company Maersk has implemented AI algorithms to predict machinery failures and optimize fuel usage, leading to substantial cost reductions.
The potential for AI goes beyond efficiency. Safety is a key benefit as AI-driven systems can monitor maritime conditions and forecast hazards such as piracy, extreme weather, or equipment failure, ensuring the safety of both ships and crews.
Autonomous ships and robotics
Autonomous ships and robotics are redefining the future of the maritime sector. According to a study by Allied Market Research, the global market for autonomous ships is expected to reach £ 126.63 billion by 2030, with a compound annual growth rate( CAGR) of 6.8 percent from 2020 to 2030.
Autonomous ships reduce the need for large crews, which lowers labor costs and the risk of human error. They are equipped with advanced sensors, GPS technology, and AI, enabling them to navigate oceans efficiently. For example, Yara Birkeland, the world’ s first autonomous, zero-emission container vessel, successfully completed its maiden voyage
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