App - Czechia

  • Czechia
  • The Czechia App market is predicted to witness a substantial growth in revenue, with a projected total revenue of €451.10m in 2022.
  • This projection is based on the anticipated annual growth rate (CAGR 2022-2027) of 8.70%, which is expected to drive the market volume to reach €707.30m by 2027.
  • Within the App market, the revenue generated from in-app purchases (IAP) is estimated to reach €134.70m in 2022.
  • Similarly, the revenue from paid apps is projected to reach €14.81m in the same year.
  • Moreover, the advertising revenue is anticipated to reach €301.70m in 2022.
  • In terms of downloads, it is predicted that the number of app downloads will reach 339.30m downloads in 2022.
  • The average revenue per download is currently expected to be €1.33.
  • When compared globally, it is noteworthy that in China dominates the App market with an estimated revenue of €154.60bn in 2022.
  • This indicates the significant market potential and competition faced by the Czechia App market.

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

 
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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.

Visión general

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