Here is how big data is transforming the industry and charting a course toward a more sustainable and efficient future. This includes fleet management, route planning, and predictive analytics for dynamic pricing and enhanced port operations.
Fremont, CA: The maritime and shipping industries are transforming today's increasingly connected and data-driven world. Data collection, analysis, and exploitation have revolutionized how shipping companies and port authorities conduct business. Efficiencies, safety, and sustainability are all improving as a result. Here is how big data is transforming the industry and charting a course toward a more sustainable and efficient future. This includes fleet management, route planning, and predictive analytics for dynamic pricing and enhanced port operations.
Non-Traditional vs. Traditional data
Stay ahead of the industry with exclusive feature stories on the top companies, expert insights and the latest news delivered straight to your inbox. Subscribe today.
A variety of data sources have been used by the maritime industry until recently. Data sources such as these provided shipping companies with valuable insights. By utilizing these traditional data sources, companies are able to manage their fleets and operations more efficiently. As data volume and variety have increased, more advanced techniques for processing data have been needed.
Ship sensors, social media, and satellite imagery have become powerful tools for the global maritime analytics market. Their wealth of information is unparalleled in the shipping and logistics industry. By integrating these diverse data types, companies can increase operational efficiency, competitiveness, and overall performance.
Sources of maritime data
With the combination of advanced analytics techniques, shippers can draw previously unattainable insights from the big data generated in this sector. Maritime data sources include:
Vessel tracking data: The Automatic Identification System (AIS) transmits real-time information about a vessel's identity, position, speed, and course. Shippers can monitor their fleets and optimize operations with AIS data, which is a valuable source of information.
Oceanographic data: Sensors mounted on ships, buoys, and other similar equipment collect vast quantities of oceanographic data, such as weather patterns, currents, and sea level. For voyage planning and navigation, as well as predicting and mitigating safety impacts of adverse meteorological conditions and oceanic events, such data is essential.
Satellite imagery - Satellites provide global coverage and real-time information about maritime aspects, including vessel movements, ice conditions, and environmental factors. Among the uses of this system are route planning, risk assessment, and compliance monitoring.
Data generated by port authorities - Data generated by port authorities relates to cargo handling, terminal operations, and vessel movements. Through the analysis of this data, shipping companies are able to optimize their operations and reduce their costs, among other things.
Social media and newsfeeds - Insights can be gained from online channels regarding market trends, disruptions, and other events that may affect the maritime industry. These sources keep companies informed and responsive to emerging opportunities and threats.
The maritime and shipping industry is on the cusp of entering an era driven by big data. Taking advantage of both traditional and non-traditional data sources leads to improved efficiency, sustainability, and competitiveness for shipping companies and port authorities.
Maritime and shipping are set to experience a brighter, more connected future as innovative applications of big data combine with emerging technologies.
