Matchmaking - Central & Western Europe

  • Central & Western Europe
  • Revenue in the Matchmaking market is projected to reach US$0.39bn in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 1.97%, resulting in a projected market volume of US$0.43bn by 2029.
  • In the Matchmaking market, the number of users is expected to amount to 5.1m users by 2029.
  • User penetration will be 1.4% in 2024 and is expected to hit 1.5% by 2029.
  • The average revenue per user (ARPU) is expected to amount to US$84.01.
  • In global comparison, most revenue will be generated in China (US$1,211.00m in 2024).
  • With a projected rate of 3.8%, the user penetration in the Matchmaking market is highest in South Korea.
 
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Analyst Opinion

The Casual Dating market in Central & Western Europe has been experiencing significant growth in recent years.

Customer preferences:
Customers in Central & Western Europe have shown a growing interest in casual dating platforms. This can be attributed to a shift in societal norms, with more individuals embracing casual relationships and seeking non-committal connections. Additionally, the convenience and accessibility offered by online platforms have made casual dating more appealing to a wider audience.

Trends in the market:
One of the key trends in the Casual Dating market in Central & Western Europe is the increasing popularity of mobile dating apps. These apps provide a convenient and discreet way for individuals to connect with potential partners, and their user-friendly interfaces have contributed to their widespread adoption. Furthermore, the integration of advanced matching algorithms and location-based features has enhanced the user experience, making it easier for individuals to find compatible matches in their vicinity. Another trend in the market is the rise of niche dating platforms catering to specific demographics or interests. These platforms offer a more targeted approach to casual dating, allowing individuals to find like-minded partners who share their hobbies, preferences, or cultural backgrounds. This trend reflects the growing demand for personalized experiences and the desire for more meaningful connections, even in casual relationships.

Local special circumstances:
In Central & Western Europe, there are certain cultural and societal factors that influence the development of the Casual Dating market. For instance, countries in this region tend to have more liberal attitudes towards relationships and sexuality compared to other parts of the world. This openness to casual dating has created a conducive environment for the growth of the market. Additionally, the high internet penetration rates in Central & Western Europe have contributed to the popularity of online dating platforms. With a large portion of the population having access to the internet, individuals have greater opportunities to explore casual dating options and connect with potential partners online.

Underlying macroeconomic factors:
The stable and prosperous economies in Central & Western Europe have also played a role in the development of the Casual Dating market. With higher disposable incomes and a greater emphasis on work-life balance, individuals in this region have the financial means and leisure time to engage in casual dating activities. This has created a demand for platforms that cater to their specific needs and preferences. Furthermore, the high levels of urbanization in Central & Western Europe have led to a more fragmented and transient population. As people move to cities for work or education, they often find themselves in new environments with limited social networks. Casual dating platforms provide an avenue for individuals to meet new people and form connections in these urban settings. In conclusion, the Casual Dating market in Central & Western Europe is experiencing growth due to changing customer preferences, the emergence of mobile dating apps, the rise of niche platforms, cultural and societal factors, as well as the underlying macroeconomic conditions in the region.

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.

Overview

  • Revenue
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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