Global Air Passenger Demand Expected to Double by 2050, IATA Projects

Global air passenger demand is forecast to more than double by 2050, with the fastest growth expected in Asia-Pacific and Africa, according to new long-term projections released by the International Air Transport Association (IATA).

Air Travel Demand Projections to 2050

The International Air Transport Association (IATA) has released its Long-Term Demand Projections (LTDP), indicating that global air passenger demand is expected to more than double by 2050. The mid-range scenario forecasts demand reaching 20.8 trillion revenue passenger kilometers (RPKs) by 2050, up from 9 trillion RPKs in 2024. This projection is based on a compound annual growth rate (CAGR) of 3.1% from 2024 to 2050.

Alternative scenarios were also modeled. A higher growth scenario projects a 3.3% CAGR, with demand reaching 21.9 trillion RPKs by 2050. A lower growth scenario estimates a 2.9% CAGR, with demand reaching 19.5 trillion RPKs by 2050. These scenarios are based on variations in economic growth, population trends, aviation fuel prices, the global energy transition, and air transport supply-side capacity.

Regional Growth Patterns

Growth in air travel demand is expected to be uneven across global regions. The Asia-Pacific and Africa regions are projected to experience the fastest growth rates between 2024 and 2050, with CAGRs of 3.8% and 3.6%, respectively. Europe and North America are expected to see slower growth, with CAGRs of 2.5% and 2.8%.

The LTDP identifies the fastest-growing air travel markets as intra-Africa (4.9% CAGR), Africa–Asia-Pacific (4.5%), Asia-Pacific–Middle East (3.9%), intra-Asia-Pacific (3.9%), and Africa–North America (3.8%). These figures highlight the importance of investment in aviation infrastructure and regulatory frameworks in developing regions. In contrast, several Europe-centered markets are projected to be among the slowest growing.

Long-Term Global Trends in Aviation

The report notes two significant long-term trends. First, the COVID-19 pandemic caused a permanent structural shift in global aviation demand. Unlike previous crises, the pandemic’s impact resulted in a persistent gap in RPKs that is not expected to return to the pre-pandemic GDP-aligned trend by 2050, even in the high-growth scenario.

Second, while long-term demand remains robust, the growth rate is gradually moderating. Historical data show that the average annual growth rate 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 slowdown to 3.1% CAGR. This moderation is attributed to market maturity, while absolute passenger numbers are still expected to increase significantly.

Factors Affecting Demand Projections

IATA’s LTDP model is based on a comprehensive global econometric approach, utilizing data from international institutions and IATA’s own Direct Data Solutions (DDS) demand database. The dataset includes more than 500,000 observations across approximately 41,000 directional country pairs from 2011 to 2024.

Key variables in the model include population, employment, flight frequencies, and aircraft size at the country level. The most significant driver of demand is real GDP per capita, adjusted for purchasing power parity (PPP). Long-term economic projections are sourced from the OECD’s global long-run scenarios. The LTDP also incorporates scenarios for the global energy transition and its potential impact on long-term demand.

The model’s projection performance has been validated against historical data, showing an average prediction accuracy of 98% at the industry level.

Summary

IATA’s long-term projections indicate that global air travel demand will more than double by 2050, with the strongest growth in Asia-Pacific and Africa. The report highlights the need for investment in aviation infrastructure and regulatory frameworks, especially in developing regions, and notes a permanent shift in demand patterns following the COVID-19 pandemic. The projections are based on a validated econometric model using extensive global data.