App - Brazil

  • Brazil
  • The App market in Brazil is set to experience significant growth in the coming years.
  • By 2022, the total revenue in this market is projected to reach €4,320.00m.
  • This growth is expected to continue at an annual rate of 7.68% from 2022 to 2027, resulting in a projected market volume of €6,338.00m by 2027.
  • When looking specifically at in-app purchases (IAP), the revenue is projected to reach €1,078.00m in 2022.
  • Additionally, paid app revenue is expected to reach €41.65m in the same year.
  • On the other hand, advertising revenue is projected to reach €3,200.00m in 2022.
  • In terms of downloads, the App market in Brazil is expected to reach a total of 12,720.00m downloads in 2022.
  • Currently, the average revenue per download is estimated to be €0.34.
  • These figures highlight the significant growth and potential of the App market in Brazil.
  • When compared globally, it is worth noting that in China generates the highest revenue in the App market, with a projected revenue of €154.60bn in 2022.
  • This further emphasizes the importance and scale of the App market in different countries.

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

 
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Comparaison de régions
 
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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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