Market Insights eCommerce Dating Services

Matchmaking - Germany

Germany

Revenue in the Matchmaking market is projected to reach €112.00m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 1.99%, resulting in a projected market volume of €123.60m by 2029.
In the Matchmaking market, the number of users is expected to amount to 1.7m users by 2029.
User penetration will be 1.9% in 2024 and is expected to hit 2.1% by 2029.
The average revenue per user (ARPU) is expected to amount to €70.95.
In global comparison, most revenue will be generated in China (€1,123.00m in 2024).
With a projected rate of 3.8%, the user penetration in the Matchmaking market is highest in South Korea.

Marché

Région

Comparaison de régions

Monnaie

Analyst Opinion

The Casual Dating market in Germany is experiencing significant growth due to changing customer preferences, emerging trends, and local special circumstances. Customer preferences in Germany have shifted towards more casual and non-committal relationships, leading to an increased demand for casual dating services. This can be attributed to the changing societal norms and attitudes towards relationships, where individuals are increasingly valuing personal freedom and independence. As a result, there is a growing acceptance of casual dating as a way to explore one's sexuality and relationships without the pressure of commitment. In addition, the rise of digital technology and online dating platforms has made it easier for people to connect with potential partners. The convenience and accessibility of these platforms have contributed to the growth of the casual dating market in Germany. People can now easily browse through profiles, chat with potential matches, and arrange casual dates with just a few clicks. This has opened up new opportunities for individuals to meet like-minded people and engage in casual relationships. Furthermore, there are several trends in the market that are driving its growth. One such trend is the increasing popularity of niche dating platforms catering to specific interests or preferences. These platforms allow individuals to find partners who share similar hobbies, lifestyles, or sexual preferences, enhancing the overall casual dating experience. Another trend is the integration of advanced matching algorithms and artificial intelligence in dating platforms, which provide more accurate and personalized recommendations for potential matches. This improves the efficiency and effectiveness of casual dating services, attracting more users to the market. Germany also has some local special circumstances that contribute to the growth of the casual dating market. The country has a large population of young adults who are more open-minded and progressive in their attitudes towards relationships. This demographic, combined with a high level of internet penetration and smartphone usage, creates a fertile ground for the casual dating market to thrive. Additionally, Germany's strong economy and high disposable income levels enable individuals to spend more on leisure activities, including casual dating. Underlying macroeconomic factors, such as low unemployment rates and stable economic growth, also play a role in the development of the casual dating market in Germany. These factors contribute to a positive consumer sentiment and increased consumer spending, which in turn drives the demand for casual dating services. In conclusion, the Casual Dating market in Germany is growing rapidly due to evolving customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. The shift towards more casual and non-committal relationships, coupled with the convenience of online dating platforms, has fueled the demand for casual dating services. The integration of niche platforms and advanced matching algorithms further enhances the overall casual dating experience. Germany's young and open-minded population, combined with a strong economy, create favorable conditions for the market to thrive.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on Gross Merchandise Value (GMV) and represent what consumers pay for these products and services. The user metrics show the number of customers who have made at least one online purchase within the past 12 months.

Modeling approach / Market size:

Market sizes are determined through a bottom-up approach, building on predefined factors for each market segment. As a basis for evaluating markets, we use annual financial reports of the market-leading companies, third-party studies and reports, as well as survey results from our primary research (e.g., the Statista Global Consumer Survey). In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, GDP per capita, and internet connection speed. 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. The main drivers are internet users, urban population, usage of key players, and attitudes toward online services.

Additional notes:

The market is updated twice a year in case market dynamics change. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. GCS data is reweighted for representativeness.