App - GCC

The App market in GCC is expected to witness significant growth in the coming years.
According to projections, the total revenue in this market is estimated to reach US$1,595.00m by 2022.
Moreover, it is anticipated that the market will experience a steady annual growth rate of 9.95% from 2022 to 2027, resulting in a projected market volume of US$2,480.00m by 2027.
When it comes to specific revenue sources within the App market, in-app purchases (IAP) are projected to contribute significantly.
It is estimated that IAP revenue will reach US$1,152.00m in 2022.
Additionally, paid app revenue is expected to generate US$20.18m in the same year.
Advertising revenue, on the other hand, is projected to reach US$422.60m in 2022.
The App market in GCC is also expected to witness a substantial increase in the number of downloads.
It is projected that the number of downloads will reach 2,360.00m downloads in 2022.
Currently, the average revenue per download is forecasted to be US$0.68.
In terms of global comparison, it is worth noting that in China generates the highest revenue in the App market.
In 2022 alone, in China is projected to generate a staggering US$162.90bn in revenue.
Overall, the App market in GCC shows promising prospects for growth, with various revenue streams contributing to its expansion.

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.