App - Finland

Finland

In 2022, the projected total revenue in the App market in Finland is expected to reach a staggering US$417.00m.
Looking ahead, it is anticipated that the market will experience an annual growth rate of 8.66% (CAGR 2022-2027), resulting in a projected market volume of US$672.80m by 2027.
Breaking down the revenue sources, in-app purchase (IAP) revenue is projected to reach US$170.20m in 2022, while paid app revenue is expected to reach US$16.95m.
Additionally, advertising revenue is projected to reach US$229.90m in the same year.
The number of app downloads is also expected to see a significant increase, reaching 122.10m downloads in 2022.
Currently, the average revenue per download stands at US$3.41, indicating the potential for revenue generation.
When comparing global figures, it is worth noting that in China leads the way in terms of revenue generation, with a projected revenue of US$162.90bn in 2022.
The App market in Finland, while not reaching the same levels as in China, still showcases promising growth and revenue potential.

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.