Data analytics solutions for the aviation industry
Who uses the airport? How did they get there? What is the actual market share for this specific route? When do business travellers fly, and what age group do they typically belong to?
Today, airports are required to make critical decisions regarding capacity, infrastructure, routes, services and the passenger experience, often without having access to a complete and representative data foundation. Traditional sources (surveys, ticketing data and official statistics) are frequently incomplete, slow to update and fail to accurately reflect travellers’ real behaviours.
The benefits of airport data analytics solutions
Gain a clear and up-to-date view of passenger flows, performance and the airport’s true growth potential: we have developed advanced data analytics solutions for the airport sector that support organisations in interpreting information related to mobility patterns, user profiles and the key dynamics of air transport.
By combining aggregated and anonymised data with other proprietary and public sources (such as mobile network data, flight scheduling, social data, spending habits and traffic flows), we deliver strategic insights that enable stakeholders to understand their actual catchment area, analyse traveller behaviour and make informed decisions to optimise airport operations and strategic investments.
Our solutions are fully customisable to meet the specific needs of each airport, airline or airport infrastructure operator.
Target audience and key needs addressed by airport data analytics solutions
Airports: passenger flow analysis and support for strategic planning
- Catchment area mapping
- Monitoring of competition and airport market share
- Assessment of ground mobility, including modal share, accessibility and use of landside services
Airlines: behavioural analysis and traveller profiling
- Analysis of travel trends and the needs of different traveller segments
- Identification of True Origin/Destination (O/D) and self-connecting behaviours
- Detection of unserved or underserved destinations to support the development of new routes and market opportunities
Destinations: monitoring tourist flows and analysing regional mobility
- Segmentation of tourist behaviour within the area, including length of stay, travel motivations and seasonality
- Observation of people flows to and from specific areas under analysis
- Study of ground mobility patterns and modal shares related to key transport services
Insights and key indicators to enhance operations
Airport traveler analysis to understand who uses the airport and which patterns characterize demand
- Passenger profiling to identify specific segments (business, leisure) and tailor services and communications
- Airport behavior analysis to optimize flows, processes, and space allocation
Market share analysis across routes, airlines, and competing airports to measure positioning and support decisions on routes and carrier agreements
- Competitive scenario definition to compare airport performance, connectivity, and capacity against direct and indirect competitors
- Catchment area analysis to understand where passengers come from and which alternatives they consider
- True Origin / True Destination analysis to identify flows, self-connecting passengers, and underserved routes, enabling decisions based on reliable data
Tourism share analysis to assess the impact of tourism on demand and routesAnalisi tourism share
- Identification of the main destinations reached and entry points to detect the most requested routes, intercept emerging trends, and optimize the airport network
Mobility analysis around the airport to evaluate accessibility, transport infrastructure, and improve the user
- Modal share analysis for multimodal travel to understand the means of transport used and optimize integrated mobility
- Visitor profiling to distinguish travelers from airport users, improving retail management and services
Case studies in the airport sector
Several airports, airlines and industry stakeholders have already adopted our data analytics solutions to support development plans, improve operational efficiency and gain a deeper understanding of passengers’ real behaviour at airports.
In these projects, integrating mobility data, operational KPIs and commercial information has delivered tangible results: from identifying new market opportunities, to assessing the actual traffic potential of existing routes, and improving airport processes through more accurate forecasting of passenger flows.
