App - Central & Western Europe

  • Central & Western Europe
  • In 2022, the projected total revenue in the App market for Central & Western Europe is estimated to reach US$33.92bn.
  • This market segment is expected to experience a steady annual growth rate (CAGR 2022-2027) of 9.04%, resulting in a projected market volume of US$55.84bn by 2027.
  • Within the App market, the revenue generated from in-app purchases (IAP) is projected to reach US$9.26bn in 2022.
  • Similarly, the revenue from paid app downloads is expected to reach US$0.48bn in the same year.
  • Additionally, advertising revenue in the App market is projected to reach US$24.18bn in 2022.
  • Moreover, the number of app downloads in Central & Western Europe is projected to reach 10.41bn downloads in 2022.
  • Currently, the average revenue per download stands at US$3.26.
  • In a global comparison, it is worth noting that in China generates the highest revenue in the App market, amounting to US$162.90bn in 2022.

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

 
Market
 
Region
 
Region comparison
 
Currency
 

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.

Overview

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