Flights - Southern Africa

  • Southern Africa
  • By the year 2024, the Flights market in Southern Africa is anticipated to generate a revenue of US$1.39bn.
  • It is further projected that the revenue will increase at an annual growth rate of 5.42% (CAGR 2024-2029), resulting in the market's market volume reaching US$1.81bn by the year 2029.
  • The number of users in this market is expected to reach 6.02m users by 2029, with a user penetration of 6.5% in 2024 that is expected to increase to 8.2% by 2029.
  • The average revenue per user (ARPU) is forecasted to be US$0.31k.
  • Additionally, it is expected that 91% of the total revenue generated in the Flights market will be through online sales by 2029.
  • In the global context, it is noteworthy that United States is expected to generate the highest revenue in this market, with a projected amount of US$143bn in 2024.
  • South Africa's domestic flight industry is slowly recovering from the pandemic, but international travel restrictions continue to hinder growth.

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

 
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Analyst Opinion

The Flights market in Southern Africa is experiencing significant growth and development. Customer preferences in the region are shifting towards more affordable and convenient travel options. With the rise of low-cost carriers and online travel agencies, travelers are now able to find cheaper flights and book them easily through digital platforms. This has led to increased competition among airlines, resulting in lower ticket prices and more options for consumers. Trends in the market show that there is a growing demand for domestic and regional flights within Southern Africa. As economies in the region continue to develop and people become more mobile, there is a need for efficient and affordable air travel. This has led to the expansion of routes and the introduction of new airlines in the market. Local special circumstances also play a role in the development of the Flights market in Southern Africa. The region is known for its natural beauty and diverse wildlife, which attracts a large number of tourists. This has created a demand for flights to popular destinations such as Cape Town, Johannesburg, and Victoria Falls. Airlines have responded to this demand by increasing the frequency of flights and offering competitive fares. Underlying macroeconomic factors are also contributing to the growth of the Flights market in Southern Africa. Economic stability and increased disposable income have made air travel more accessible to a larger portion of the population. Additionally, the growth of the middle class in the region has led to an increase in leisure travel, further driving the demand for flights. In conclusion, the Flights market in Southern Africa is experiencing growth and development due to changing customer preferences, increasing demand for domestic and regional flights, local special circumstances, and underlying macroeconomic factors. This presents opportunities for airlines and travel companies to expand their operations in the region and cater to the needs of the growing number of travelers.

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