Market Insights Digital eServices Dating Services

Online Dating - EU-27

EU-27

Revenue in the Online Dating market is projected to reach US$382.70m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 0.63%, resulting in a projected market volume of US$392.40m by 2028.
In the Online Dating market, the number of users is expected to amount to 44.8m users by 2028.
User penetration will be 0.00 in 2024 and is expected to hit 0.00 by 2028.
The average revenue per user (ARPU) is expected to amount to US$9.32.
In global comparison, most revenue will be generated in the United States (US$1,392.00m in 2024).
With a projected rate of 17.9%, the user penetration in the Online Dating market is highest in the United States.

Key regions: United States, China, Japan, Europe, Germany

Market

Region

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Currency

Analyst Opinion

The Online Dating market in EU-27 is experiencing a steady growth due to changing customer preferences and the increasing popularity of online platforms for meeting new people.

Customer preferences: Customers in EU-27 are increasingly turning to online dating platforms as a convenient and efficient way to meet potential partners. The busy lifestyles of people in this region, coupled with the widespread use of smartphones and internet connectivity, have made online dating a popular choice. Additionally, the anonymity provided by these platforms allows individuals to explore their options and connect with people from diverse backgrounds.

Trends in the market: One of the major trends in the Online Dating market in EU-27 is the rise of niche dating platforms catering to specific interests or demographics. These platforms offer a more targeted approach, allowing individuals to find like-minded partners who share their hobbies, values, or cultural backgrounds. This trend is driven by the desire for more personalized and tailored dating experiences. Another trend in the market is the increasing use of artificial intelligence (AI) and machine learning algorithms to match individuals based on compatibility and shared interests. These algorithms analyze user data and behavior to suggest potential matches, improving the overall user experience and increasing the chances of successful connections. This trend is driven by the need for more efficient and accurate matching algorithms in a crowded online dating market.

Local special circumstances: The Online Dating market in EU-27 is influenced by the cultural diversity and varying dating norms across different countries in the region. Each country has its own unique dating culture and preferences, which impact the way online dating platforms are used. For example, in some countries, online dating is more socially accepted and widely used, while in others it may still be seen as taboo or unconventional.

Underlying macroeconomic factors: The steady growth of the Online Dating market in EU-27 is also influenced by underlying macroeconomic factors. As the region experiences economic growth and increased internet penetration, more individuals have access to online dating platforms. Additionally, the rising number of single adults and changing demographics, such as an aging population and increasing urbanization, contribute to the growth of the online dating market. These factors create a favorable environment for online dating platforms to thrive and attract a larger user base.

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.