App - Southeast Asia

  • Southeast Asia
  • In 2022, the projected total revenue in the App market of Southeast Asia is estimated to reach US$3,772.00m.
  • This market is expected to display a steady annual growth rate of 9.00% from 2022 to 2027, resulting in a projected market volume of US$5,867.00m by 2027.
  • Within the App market, the projected in-app purchase (IAP) revenue is set to reach US$1.92bn in 2022.
  • Similarly, the projected revenue from paid apps is expected to reach US$0.11bn in the same year.
  • Additionally, advertising revenue within the App market is projected to reach US$1.74bn in 2022.
  • Moreover, the number of downloads in the App market is projected to reach 13,930.00m downloads in 2022.
  • Currently, the average revenue per download is expected to amount to US$0.27.
  • In a global comparison, it is worth noting that in China generates the highest revenue in the App market, with an estimated revenue of US$162.90bn in 2022.

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.

Overview

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