App - Argentina

Argentina

The App market in Argentina is expected to see a significant increase in total revenue, reaching €562.80m in 2022.
This projection indicates a positive growth trend, with an annual growth rate (CAGR 2022-2027) of 10.68%.
By 2027, the market volume is forecasted to reach €998.20m.
Within the App market, in-app purchase (IAP) revenue is estimated to reach €128.10m in 2022, reflecting the popularity of this revenue stream.
Additionally, paid app revenue is projected to reach €20.46m in 2022, indicating a demand for premium applications.
Advertising revenue is also expected to contribute significantly to the market, with a projected value of €414.20m in 2022.
The number of downloads in the App market is anticipated to reach 1,933.00m downloads in 2022, demonstrating the high level of user engagement.
Despite the large number of downloads, the average revenue per download currently stands at €0.29, highlighting the need for further monetization strategies.
When comparing the global App market, it is noteworthy that in China generates the highest revenue, with an estimated value of €154.60bn in 2022.
This comparison showcases the dominance of the Chinese market in terms of revenue generation.
Overall, the App market in Argentina is poised for growth and presents various opportunities for revenue generation through in-app purchases, paid applications, and advertising.

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

Mercado

Región

Comparación de regiones

Moneda

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.