App - Norway

  • Norway
  • The revenue generated in the App market in Norway is projected to reach US$972.00m in 2022.
  • This indicates a positive growth trend as the market is expected to experience an annual growth rate of 8.96% between 2022 and 2027.
  • By 2027, the projected market volume is estimated to reach US$1,581.00m.
  • In terms of revenue sources, the In-app purchase (IAP) revenue in the Norwegian App market is projected to reach US$374.70m in 2022.
  • Additionally, the revenue from paid app downloads is expected to reach US$23.07m in the same year.
  • Advertising revenue, on the other hand, is projected to reach US$574.20m in 2022.
  • The number of app downloads in the Norwegian market is projected to reach 155.20m downloads in 2022.
  • This indicates a significant user base and potential for revenue generation.
  • Currently, the average revenue per download is estimated to be US$6.26.
  • When compared globally, it is interesting to note that in China generates the highest revenue in the App market, reaching US$162.90bn in 2022.
  • This highlights the dominance of the Chinese market in terms of revenue generation.

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

Region comparison


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.


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.


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