Understanding future growth trends in the aviation industry
The Air Passenger Forecast Service is the most comprehensive set of projections on how the airline industry will evolve over the coming decades. The service, which was created by Tourism Economics, an Oxford Economics company, in partnership with the International Air Transport Association (IATA), provides annual forecasts of air passenger flows for almost 4,000 routes and 185 major markets over the next 20 years, representing over 90% of all air travel in that time period. Regional flows are included and important rapidly growing new routes are also covered.
The data and forecasts in the Air Passenger Forecast Service will immediately inform pivotal investment and strategy decisions of airlines and airports, as well as related sectors such as financial services, tourism, and government.
- Extensive databank. Comparable analysis for nearly 4,000 country and region pairs, with forecast data ahead to 2036.
- Global Forecast Report, including detailed commentary from Tourism Economics and IATA, and featuring analysis of the baseline forecast plus the impacts of upside and downside alternative scenarios.
- Individual country reports, providing supplementary detailed analysis for the top country markets.
- Robust methodology. The databank is based on vast, complementary data sets covering air passenger flows, and economic and demographic data by country and regional aggregate.
- Regular updates. Two updates will be produced each year: one in April, which will focus on long-term factors affecting passenger flows, such as travel liberalisation, demographics, and energy costs, and one in October, with a focus on near-term drivers, including the latest year-to-date outturns and recent changes in economic conditions.
- Advanced analytical functions. Our web-based databank allows users to quickly build custom queries with complete flexibility and visualise the data in tables, charts, and maps. Numbers may be represented as absolutes, percentages, and even differences between time periods. All data are annotated by source, date of update, and analyst. Searches can be saved for future reference and downloaded quickly to Excel and Adobe formats, and even shown on a heat map.
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