Definition:
The Games market is the largest and highest earning category for mobile apps and generates approximately 50% of total app revenue worldwide. Mobile games have long dominated the computer gaming landscape and are far ahead of console games and PC games in terms of revenue and number of gamers.Structure:
We include fifteen submarkets under the Games category (Action, Adventure, Board, Card, Casino, Casual, Music, Puzzle, Racing, Role-Playing, Simulation, Sport, Strategy, Trivia, and Word) which are found in both Apple Inc.'s App Store and the Google Play store. Since games can contain numerous themes and game mechanics simultaneously, it is not unusual for a game to be included in several categories at the same time.Additional Information:
We consider three different sources of revenue:Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Aug 2024
Source: Statista Market Insights
Most recent update: Aug 2024
Source: Statista Market Insights
Most recent update: Aug 2024
Source: Statista Market Insights
Most recent update: Aug 2024
Source: Statista Market Insights
Most recent update: Aug 2024
Source: Statista Market Insights
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.Notes: Based on data from IMF, World Bank, UN and Eurostat
Most recent update: Sep 2024
Source: Statista Market Insights