App - Europe

  • Europe
  • In 2022, the projected total revenue in the App market in Europe is estimated to reach US$46.79bn.
  • This projection takes into account the expected annual growth rate (CAGR 2022-2027) of 9.08%, which would result in a projected market volume of US$77.61bn by 2027.
  • Looking specifically at the different revenue streams within the App market, in-app purchase (IAP) revenue is projected to reach US$13.62bn in 2022, while paid app revenue is expected to reach US$0.74bn in the same year.
  • Additionally, advertising revenue in the App market is projected to reach US$32.42bn in 2022.
  • When considering the number of downloads in the App market, it is projected to reach 26.42bn downloads in 2022.
  • Currently, the average revenue per download is expected to amount to US$1.77.
  • In a global comparison, it is worth noting that in China generates the highest revenue in the App market, with an estimated revenue of 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
  • Key Players
  • Global Comparison
  • Methodology
  • Key Market Indicators
Please wait

Contact

Get in touch with us. We are happy to help.
Statista Locations
Contact Meredith Alda
Meredith Alda
Sales Manager– Contact (United States)

Mon - Fri, 9am - 6pm (EST)

Contact Yolanda Mega
Yolanda Mega
Operations Manager– Contact (Asia)

Mon - Fri, 9am - 5pm (SGT)

Contact Ayana Mizuno
Ayana Mizuno
Junior Business Development Manager– Contact (Asia)

Mon - Fri, 10:00am - 6:00pm (JST)

Contact Lodovica Biagi
Lodovica Biagi
Director of Operations– Contact (Europe)

Mon - Fri, 9:30am - 5pm (GMT)

Contact Carolina Dulin
Carolina Dulin
Group Director - LATAM– Contact (Latin America)

Mon - Fri, 9am - 6pm (EST)