App - China

  • China
  • The projected total revenue in the App market for the country in China is expected to reach US$162.90bn in 2022.
  • This projected revenue is based on an annual growth rate (CAGR 2022-2027) of 7.92%, which is expected to result in a market volume of US$256.30bn by 2027.
  • In terms of revenue breakdown, the in-app purchase (IAP) revenue in the App market for in China is projected to reach US$57.58bn in 2022.
  • Additionally, the paid app revenue is expected to reach US$2.66bn in the same year.
  • Furthermore, the advertising revenue in the App market is projected to reach US$102.70bn in 2022.
  • In addition to revenue figures, the number of downloads in the App market for in China is projected to reach 110.30bn downloads in 2022.
  • Currently, the average revenue per download is expected to amount to US$1.48.
  • When comparing the global market, it is noteworthy that in China generates the most revenue in the App market, with a projected revenue of US$162.90bn in 2022.
  • This indicates the significant contribution of the Chinese market to the overall App market industry.

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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