IATA sees passenger demand more than doubling by 2050
Above: To read the IATA Long-Term Air Transport Passenger Demand Projections report, click here.
Courtesy IATA
Under the mid range scenario, demand is forecast to reach 20.8 trillion revenue passenger kilometres (RPKs), based on a compound annual growth rate (CAGR) of 3.1% (2024-2050) from the nine trillion RPKs seen in 2024.
A higher growth scenario would see a 3.3% CAGR with passenger demand reaching 21.9 trillion RPKs in 2050. A lower growth scenario would see 2.9% CAGR with passenger demand reaching 19.5 trillion RPKs by 2050.
The different scenarios are driven by alternative modeling of long-term economic growth, populations, aviation fuel price trends, the global energy transition, and air transport supply-side capacity development.
Willie Walsh, IATA’s Director General said: “The outlook for air travel is positive. People want to travel and, under all our modeled scenarios, the demand to fly is expected to more than double by mid-century. That is good news for global economic and social development because aviation growth will catalyse opportunities, including jobs, around the world.
"Our Long-Term Demand report gives governments, industry, and energy suppliers a robust basis for long term planning. It underscores the need for policy frameworks to support key success enablers such as efficient infrastructure development, market access facilitation, regulatory harmonization, and an effective clean energy transition.”
Regional Outlook: Growth Concentrated in Emerging Markets
The pace of growth will be uneven across regions, reflecting differences in demographics, market maturity, economic development, and connectivity potential. Under the mid range scenario, Asia Pacific and Africa are expected to be the fastest growing regions over 2024-2050, with CAGRs of 3.8% and 3.6% respectively. Europe and North America are projected to grow more slowly, at 2.5% and 2.8%.
The LTDP identifies the fastest growing markets as intra Africa (4.9%), Africa–Asia Pacific (4.5%), Asia Pacific–Middle East (3.9%), intra Asia Pacific (3.9%), and Africa–North America (3.8%), highlighting the importance of investment in aviation infrastructure and regulatory frameworks in developing regions. By contrast, several Europe centered markets are among the slowest growing.
Long Term Global Trends
Two long-term trends identified in the report are worth noting:
- The LTDP confirms that the COVID 19 pandemic caused a permanent structural shift in global aviation demand. Unlike previous crises, the unprecedented collapse in RPK has created a persistent gap that is not expected to converge back to the pre-pandemic GDP-aligned trend by 2050, even under the high growth scenario.
- While long term demand remains robust, the growth rate is moderating gradually. Historical analysis shows that average annual growth slowed from 6.1% CAGR between 1972 and 1998, to 4.5% CAGR between 1998 and 2024. The central scenario for 2024-2050 projects a further slowing to 3.1% CAGR. This gradual moderation reflects market maturity rather than weakening demand, as absolute passenger numbers continue to rise significantly.
IATA’s proprietary model used by the LTDP is based on a comprehensive global econometric model built on the best available data from international institutions and IATA’s own DDS demand database. The unique dataset compiled for this work comprises more than half a million observations across around 41,000 directional country pairs over 14 years from 2011 to 2024. The LTDP model incorporates population, employment, flight frequencies, and aircraft size at the country level.
The most significant demand driver is real GDP (Gross Domestic Product) per capita, adjusted for PPP (Purchasing Power Parity). Long-term country-specific economic projections are obtained from the publicly available OECD global long-run economic scenarios. The LTDP scenarios are also linked to scenarios for how the evolution of the global energy transition may impact long-term demand. The model’s projection performance has been validated against historical data and shows an average prediction accuracy of 98% at the industry level.
