Word Games - Kenya

Kenya

The Word Games market in Kenya is expected to see significant growth in the coming years.
According to projections, the total revenue in this market is set to reach €314.10k in 2022.
This figure is projected to grow at an annual rate of 9.62% from 2022 to 2027, resulting in a market volume of €490.60k by 2027.
Breaking down the revenue sources, in-app purchases (IAP) are expected to contribute €40.50k in 2022, while paid app revenue is projected to reach €25.46k in the same year.
Advertising revenue is also expected to play a significant role, reaching €248.20k in 2022.
In terms of user engagement, the number of downloads in the Word Games market is projected to reach 1.24m downloads in 2022.
It is worth noting that the average revenue per download currently stands at €0.25.
When comparing the global landscape, it is evident that in the United States generates the highest revenue in the Word Games market, with a projected figure of €1,647.00m in 2022.
This showcases the dominance of the US market in this segment.
Overall, the Word Games market in Kenya shows promising potential for growth, with various revenue streams contributing to its success.
The projected figures indicate a positive trajectory for this market in the coming years.

Key regions: South Korea, India, Asia, Japan, Germany

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Región

Comparación de regiones

Moneda

Analyst Opinion

Since the start of Apple, Inc.'s App Store in 2008 with around 500 apps, mobile apps have come to dominate the digital economy and have quickly outpaced the demand for desktop applications. As of 2021, the Apple App Store and Google Play Store had more than 5 million apps combined. Because many apps from the West are not available in China, many new app stores have emerged there. Digital lifestyles around the world now depend on adopting mobile apps, especially when it comes to social networking. The games industry has also been thoroughly transformed by the app revolution and is demonstrated by the fact that the games category is the largest and highest-grossing app category.

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.