App - Northern Europe

Northern Europe

In 2022, the App market in Northern Europe is expected to generate a total revenue of US$4,106.00m.
This projection indicates a steady growth rate of 8.91% annually (CAGR 2022-2027), resulting in a projected market volume of US$6,644.00m by 2027.
Specifically, the revenue from in-app purchases (IAP) in the App market is estimated to reach US$1.32bn in 2022.
Additionally, the revenue from paid apps is projected to reach US$0.09bn in the same year.
Furthermore, advertising revenue in the App market is expected to reach US$2.69bn in 2022.
This indicates a significant portion of the market's revenue is generated through advertising.
In terms of downloads, the App market is projected to reach 867.90m downloads in 2022.
This demonstrates the strong demand for apps among users in Northern Europe.
Currently, the average revenue per download stands at US$4.73.
This metric highlights the value generated from each individual app download in Northern Europe.
When comparing the global market, it is noteworthy that in China generates the highest revenue in the App market, with an estimated value of US$162.90bn in 2022.
This demonstrates the significant impact of the Chinese market in the global app industry.

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.