Flights - EMEA

  • EMEA
  • Revenue in the Flights market is projected to reach US$176.80bn in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 4.65%, resulting in a projected market volume of US$221.90bn by 2029.
  • In the Flights market, the number of users is expected to amount to 384.30m users by 2029.
  • User penetration is projected to be 11.8% in 2024 and 14.7% by 2029.
  • The average revenue per user (ARPU) is expected to amount to US$0.61k.
  • In the Flights market, 87% of total revenue will be generated through online sales by 2029.
  • In global comparison, most revenue will be generated in the United States (US$143bn in 2024).

Key regions: India, China, Europe, Indonesia, Thailand

 
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Analyst Opinion

The Flights market in EMEA is experiencing significant growth and development.

Customer preferences:
Customers in the EMEA region have shown a strong preference for air travel due to its convenience and time-saving benefits. The increasing disposable income and changing lifestyles have also contributed to the rising demand for flights. Additionally, the growing popularity of low-cost carriers has made flying more affordable for a larger segment of the population.

Trends in the market:
One of the key trends in the Flights market in EMEA is the emergence of new airlines and the expansion of existing ones. This trend is driven by the increasing demand for air travel and the desire of airlines to capture a larger market share. As a result, there has been a significant increase in the number of flights and destinations offered by airlines in the region. Another trend in the market is the adoption of new technologies and digital platforms. Airlines are investing in digital solutions to enhance the customer experience and streamline operations. This includes the use of mobile apps for booking flights, online check-in, and personalized in-flight entertainment systems. These technological advancements have not only improved the overall travel experience but also increased operational efficiency for airlines.

Local special circumstances:
The Flights market in EMEA is diverse, with each country having its own unique set of circumstances. For example, in some countries, there may be restrictions on foreign airlines operating domestic flights, which creates a more competitive environment for local carriers. Additionally, geopolitical factors and security concerns can also impact the market dynamics in certain regions.

Underlying macroeconomic factors:
The growth of the Flights market in EMEA is closely tied to the overall economic conditions in the region. Factors such as GDP growth, employment rates, and consumer confidence play a significant role in determining the demand for air travel. As the economies in the EMEA region continue to grow, the demand for flights is expected to increase further. In conclusion, the Flights market in EMEA is witnessing significant growth and development, driven by customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. The increasing demand for air travel, the adoption of new technologies, and the expansion of airlines are all contributing to the positive trajectory of the market.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and online shares of flights.

Modeling approach:

Market sizes are determined through a bottom-up approach, building on a specific rationale for each market. As a basis for evaluating markets, we use financial reports, third-party studies and reports, federal statistical offices, industry associations, and price data. To estimate the number of users and bookings, we furthermore use data from the Statista Consumer Insigths Global survey. In addition, we use relevant key market indicators and data from country-specific associations, such as demographic data, GDP, consumer spending, internet penetration, and device usage. This data helps us estimate the market size for each country individually.

Forecasts:

In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, ARIMA, which allows time series forecasts, accounting for stationarity of data and enabling short-term estimates. Additionally, simple linear regression, Holt-Winters forecast, the S-curve function and exponential trend smoothing methods are applied.

Additional notes:

The data is modeled using current exchange rates. The market is updated twice a year in case market dynamics change.

Overview

  • Revenue
  • Sales Channels
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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