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Data analytics solutions for the maritime sector
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How many passengers actually pass through a port each year?
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Where do travellers using ferries and cruise ships come from?
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Which destinations do they visit during their stopover, and which points of interest do they explore?
In the maritime sector, every decision, from opening a new route or expanding a terminal to planning and optimising local mobility services, requires a thorough understanding of transport demand and passenger behaviour.
Operational information alone, such as ticketing data, port statistics and sample surveys, can describe what happens during a journey, but rarely explains why passengers choose a particular port, which territories actually generate demand for a route, or how they travel before and after embarkation.
The benefits of data analytics solutions for the maritime sector
Maritime passenger flow analysis provides a much broader view of sea transport, supporting better decisions on services, investments and the development of port infrastructure.
Our solutions combine anonymised mobility data with territorial, tourism and infrastructure datasets to reconstruct traveller behaviour throughout the entire journey, from the area of origin to the final destination.
This makes it possible to understand actual transport demand, analyse port catchment areas, study passenger behaviour during stopovers, and support the development of services, connections and travel offers tailored to passengers’ needs.
Every project is designed around the specific needs of ports, shipping companies, public authorities and tourist destinations, transforming large volumes of data into practical tools for strategic planning.
Who maritime data analytics solutions are for and the challenges they address
Ports and passenger terminals: flow analysis and service planning
- Analysis of the port catchment area
- Support for planning port services and access infrastructure (car parks, terminals, landside services, etc.)
- Analysis of accessibility and land transport connections
Shipping companies: demand analysis and route development
- Analysis of travel trends and the behaviour of different passenger profiles
- Assessment of actual demand for routes and connections
- Competitive analysis and support for developing passenger-focused services and offers
Cruise destinations: understanding visitor behaviour
- Analysis of visitor origins
- Analysis of the points of interest visited during stopovers
- Assessment of the impact of cruise passenger flows on the destination
Public authorities: territorial planning and development
- Monitoring mobility flows into and out of port areas
- Assessment of the role of maritime transport within the wider mobility system
- Support for tourism development, mobility and infrastructure planning strategies
Key insights and indicators to optimise services, routes and port infrastructure
Maritime passenger analysis to understand who uses the service and how they behave
- Passenger profiling to identify specific segments (cruise passengers, tourists and business travellers)
- Analysis of travel behaviour and the use of maritime services
- Temporal analysis of passenger flows by season, period and destination
Port catchment area analysis to understand origins and potential demand
- Identification of passengers’ areas of origin
- Definition of port catchment areas
- Identification of development opportunities
Competitive and tourism behaviour analysis
- Analysis of the competitive landscape among ports and shipping companies
- Study of passenger tourism behaviour and the main destinations visited
- Analysis of the points of interest visited and length of stay
Travel & Transportation case studies
Data analytics solutions applied to the transport and mobility sector have helped operators, infrastructure managers and public authorities gain a deeper understanding of people flows and optimise services.
Through the analysis of mobility patterns, catchment areas and user behaviour, the projects developed have delivered actionable insights to support strategic decision-making and data-driven investments.
