App - Africa

  • Africa
  • In the year 2022, the projected total revenue in the App market of Africa is estimated to reach €770.90m.
  • This revenue is expected to demonstrate a steady annual growth rate of 9.23% from 2022 to 2027, resulting in a projected market volume of €1,180.00m by 2027.
  • Within the App market, the revenue generated from in-app purchases (IAP) is projected to reach €291.80m in 2022.
  • Additionally, the revenue from paid apps is expected to reach €54.68m in the same year.
  • Furthermore, the revenue generated from advertising within the App market is projected to reach €424.40m in 2022.
  • In terms of user activity, the number of app downloads within the App market is expected to reach 2,487.00m downloads in 2022.
  • Currently, the average revenue per download is estimated to be €0.31.
  • When compared globally, it is noteworthy that in China generates the highest revenue in the App market, projected to reach €154.60bn in 2022.

Key regions: China, United States, Europe, Germany, Asia

 
Marché
 
Région
 
Comparaison de régions
 
Monnaie
 

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on revenue from in-app purchases, revenue from the purchase of apps, and revenue from advertising, as well as the number of downloads for each app category.

Modeling approach:

Market sizes are determined through a bottom-up approach, building on a specific rationale for each market segment. As a basis for evaluating markets, we use market data from independent databases and third-party sources, current trends, and reported performance indicators of top market players. In addition, we use relevant key market indicators and data from country-specific associations, such as smartphone users and mobile broadband connections. 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, the S-curve function and exponential trend smoothing are well suited for forecasting digital products and services due to the non-linear growth of technology adoption. The main drivers are GDP/capita, level of digitization, and consumer attitudes toward apps.

Additional notes:

The data is modeled using current exchange rates. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. The market is updated twice a year in case market dynamics change.

Vue d’ensemble

  • Revenue
  • Downloads
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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