App - Russia

Russia

The App market in Russia is expected to witness significant growth in the coming years.
According to projections, the total revenue in this market is estimated to reach US$1,936.00m by 2022.
This figure is expected to grow at an annual rate of 8.46% between 2022 and 2027, resulting in a projected market volume of US$3,617.00m by 2027.
When looking at the different revenue streams in the App market, it is anticipated that in-app purchases (IAP) will contribute significantly.
In 2022, the projected revenue from in-app purchases is estimated to reach US$0.74bn.
Additionally, paid app revenue is projected to reach US$0.05bn in the same year.
Another revenue stream in the App market is advertising.
In 2022, the projected revenue from advertising is expected to reach US$1.14bn.
Furthermore, the number of downloads in the App market is projected to reach 5,892.00m downloads in 2022.
Currently, the average revenue per download is expected to be US$0.33.
In a global comparison, it is worth noting that in China generates the highest revenue in the App market.
In 2022, the projected revenue in China is estimated to be US$162.90bn.

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.