Shopping - Germany

Germany

Germany is projected to experience a significant increase in the total revenue of the Shopping market, reaching a substantial €0.75bn by 2022.
This projection indicates a promising growth trend, with an expected annual growth rate (CAGR 2022-2027) of 11.37%.
As a result, the market volume is estimated to reach a remarkable €1.34bn by 2027.
In terms of revenue distribution within the Shopping market, it is anticipated that in-app purchases (IAP) will contribute €27.40m in 2022.
Similarly, paid app revenue is expected to reach €1.07m in the same year.
Furthermore, advertising revenue is projected to reach a substantial €723.40m in 2022.
Additionally, the number of downloads in the Shopping market is projected to reach 38.13m downloads in 2022.
Currently, the average revenue per download is expected to amount to €19.72.
These figures highlight the high level of engagement and economic activity within the German Shopping market.
When comparing the global market, it is worth noting that in China generates the highest revenue in the Shopping market sector, with an estimated €9,583.00m in 2022.
However, Germany's projected revenue demonstrates its strong position within the market, solidifying its significance as a key player in the Shopping market industry.

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

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Región

Comparación de regiones

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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.