Maritime Analytics is the collection, storage, and analysis of information from sea vessels or land-based sensors. The data collected can be used to improve the efficiency of maritime operations and increase revenue. It can also be used to forecast the future condition of a vessel. In the last few decades, there has been a rise in the use of sensor technology and other digital communication channels in the maritime industry. This has led to the development of maritime analytics solutions that help commercial users track and analyze shipping activity and its impact on cargo transportation. A modern, flexible maritime data platform unites scalability and interactivity to process massive amount of AIS data records with a sub-second update rate. It also adapts to any spatial-temporal data that can be visualized, such as vessel tracking, ocean wave data, and weather information.
Market Dynamics:
Increasing demand for enhanced shipping operations is driving the global maritime analytics market. This is primarily due to the need for improved business processes and increased efficiency in the shipping industry.
However, high cost related to complexity of these solutions is expected to hinder growth of the global maritime analytics market during the forecast period.
Key features of the study:
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