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Sport Games - Worldwide

Worldwide
  • Total revenue in the Sport Games market is projected to reach US$8.46bn in 2022.
  • Total revenue is expected to show an annual growth rate (CAGR 2022-2029) of 6.75%, resulting in a projected market volume of US$15.60bn by 2029.
  • In-app purchase (IAP) revenue in the Sport Games market is projected to reach US$3.01bn in 2022.
  • Paid app revenue in the Sport Games market is projected to reach US$36.81m in 2022.
  • Advertising revenue in the Sport Games market is projected to reach US$5.42bn in 2022.
  • The number of downloads in the Sport Games market is projected to reach 5.17bn downloads in 2022.
  • The average revenue per download currently is expected to amount to US$1.64.
  • A global comparison reveals that most revenue is generated United States (US$3.07bn in 2022).

Revenue

Notes: Data was converted from local currencies using average exchange rates of the respective year.

Most recent update:

Source: Statista Market Insights

Most recent update:

Source: Statista Market Insights

Most recent update:

Most recent update:

Source: Statista Market Insights

Downloads

Most recent update:

Source: Statista Market Insights

Global Comparison

Most recent update:

Source: Statista Market Insights

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.

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Key Market Indicators

Notes: Based on data from IMF, World Bank, UN and Eurostat

Most recent update:

Source: Statista Market Insights

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