Market Insights Digital eServices 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 2024-2028) of 2.01%, resulting in a projected market volume of €121.30m by 2028.
In the Matchmaking market, the number of users is expected to amount to 1.7m users by 2028.
User penetration will be 1.9% in 2024 and is expected to hit 2.0% by 2028.
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.

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

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Comparaison de régions

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Analyst Opinion

The Matchmaking market in Germany is experiencing steady growth and development due to changing customer preferences, emerging trends, and local special circumstances. Customer preferences in the Matchmaking market in Germany have shifted towards online platforms and mobile applications. This can be attributed to the convenience and accessibility offered by these platforms, allowing individuals to connect with potential partners from the comfort of their own homes. Additionally, the younger generation in Germany is increasingly open to the idea of online dating and matchmaking, further driving the demand for digital platforms in the market. One of the key trends in the Matchmaking market in Germany is the rise of niche matchmaking platforms. These platforms cater to specific demographics or interests, such as religious affiliations, hobbies, or professional backgrounds. By targeting niche markets, these platforms are able to provide more tailored matchmaking services, increasing the chances of successful matches and customer satisfaction. Another trend in the market is the integration of artificial intelligence (AI) and machine learning algorithms into matchmaking platforms. These technologies analyze user data and behavior to provide more accurate and personalized match suggestions. This not only improves the overall user experience but also increases the success rate of matches, leading to higher customer retention and word-of-mouth recommendations. Local special circumstances in Germany, such as a high percentage of single individuals and a busy lifestyle, contribute to the growth of the Matchmaking market. Germany has one of the highest percentages of single individuals in Europe, creating a large pool of potential customers for matchmaking services. Additionally, the fast-paced and career-oriented lifestyle of many Germans leaves little time for traditional dating methods, making online matchmaking platforms a convenient and efficient alternative. Underlying macroeconomic factors also play a role in the development of the Matchmaking market in Germany. The country has a stable economy and a high standard of living, which allows individuals to invest in services that enhance their personal lives, including matchmaking. Furthermore, Germany has a strong technology infrastructure and a high level of internet penetration, providing a favorable environment for the growth of online matchmaking platforms. In conclusion, the Matchmaking market in Germany is evolving to meet the changing customer preferences, embracing emerging trends such as niche platforms and AI integration. Local special circumstances, such as a high percentage of single individuals and a busy lifestyle, contribute to the growth of the market. Additionally, underlying macroeconomic factors, including a stable economy and strong technology infrastructure, support the development of the Matchmaking market in Germany.

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.