Shopping - Kenya

Kenya

In Kenya, the projected total revenue in the Shopping market for 2022 is estimated to reach €2.27m.
Looking ahead, the market is anticipated to exhibit an annual growth rate (CAGR 2022-2027) of 12.82%, leading to a projected market volume of €4.38m by 2027.
Specifically focusing on the in-app purchase (IAP) revenue within the Shopping market, it is projected to reach €6.70k in 2022.
Additionally, the paid app revenue in the Shopping market is expected to amount to €11.39k in the same year.
Furthermore, the advertising revenue within the Shopping market is projected to reach €2,247.00k in 2022.
This indicates a substantial contribution to the overall revenue.
Considering the number of downloads in the Shopping market, it is projected to reach 110.40k downloads in 2022.
Notably, the average revenue per download currently stands at €20.52.
In a global context, it is worth noting that in China generates the highest revenue within the Shopping market, with an estimated amount of €9,583.00m in 2022.
This highlights the significant market potential present in China.

Key regions: China, Asia, Germany, United States, South Korea

Mercado

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.