Dating Services - D-A-CH

D-A-CH

Revenue in the Dating Services market is projected to reach €363.20m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 1.49%, resulting in a projected market volume of €385.30m by 2028.
The Matchmaking market has a projected market volume of €140.00m in 2024.
In global comparison, most revenue will be generated in the United States (€2,329.00m in 2024).
The average revenue per user (ARPU) in the Dating Services market is projected to amount to €29.74 in 2024.
In the Dating Services market, the number of users is expected to amount to 12.9m users by 2028.
User penetration in the Dating Services market will be at 0.00 in 2024.

Key regions: Europe, India, Brazil, Asia, Germany

Marché

Région

Comparaison de régions

Monnaie

Analyst Opinion

The Dating Services market in D-A-CH is a growing industry that caters to the increasing demand for online dating platforms in the region.

Customer preferences: Customers in D-A-CH have shown a strong preference for online dating platforms due to their convenience and accessibility. With busy lifestyles and limited time for traditional dating methods, individuals in D-A-CH are turning to online platforms to meet potential partners. The ease of creating a profile, browsing through a large pool of potential matches, and the ability to communicate through messaging features have made online dating a popular choice in the region.

Trends in the market: One of the key trends in the Dating Services market in D-A-CH is the rise of niche dating platforms. As the market becomes more saturated with general dating apps, users are seeking platforms that cater to specific interests or demographics. This trend is driven by the desire for more tailored and personalized dating experiences. Niche dating platforms that focus on specific hobbies, religious beliefs, or cultural backgrounds are gaining popularity among users in D-A-CH. Another trend in the market is the integration of artificial intelligence (AI) and machine learning algorithms in dating platforms. These technologies are being used to improve match recommendations and enhance the overall user experience. By analyzing user data and preferences, AI algorithms can provide more accurate and relevant matches, increasing the chances of finding a compatible partner. This trend is expected to continue as dating platforms in D-A-CH strive to provide more personalized and effective matchmaking services.

Local special circumstances: D-A-CH is a region with a strong cultural emphasis on privacy and data protection. This has led to the development of dating platforms that prioritize user privacy and security. Dating apps in D-A-CH often implement strict data protection measures and offer features that allow users to control the visibility of their personal information. This focus on privacy has resonated with users in the region, contributing to the popularity of local dating platforms.

Underlying macroeconomic factors: The strong economy in D-A-CH has contributed to the growth of the Dating Services market. With high levels of disposable income and a stable job market, individuals in D-A-CH are more willing to spend money on dating services. The willingness to pay for premium features and subscriptions has allowed dating platforms in D-A-CH to generate revenue and invest in further development and innovation. In conclusion, the Dating Services market in D-A-CH is experiencing growth due to customer preferences for online platforms, the rise of niche dating services, the integration of AI and machine learning, local special circumstances related to privacy, and the underlying macroeconomic factors in the region. As the market continues to evolve, dating platforms in D-A-CH will need to adapt to changing customer preferences and invest in innovative technologies to stay competitive.

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.