Matchmaking - Northern Europe

  • Northern Europe
  • Revenue in the Matchmaking market is projected to reach US$52.14m in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 1.87%, resulting in a projected market volume of US$57.21m by 2029.
  • In the Matchmaking market, the number of users is expected to amount to 497.8k users by 2029.
  • User penetration will be 1.4% in 2024 and is expected to hit 1.4% by 2029.
  • The average revenue per user (ARPU) is expected to amount to US$112.60.
  • 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 Northern Europe is experiencing significant growth and development. Customer preferences in the region have shifted towards more casual and non-committal relationships, leading to an increased demand for casual dating platforms. This trend can be attributed to several factors. Firstly, societal norms and attitudes towards relationships have become more liberal and open-minded, allowing individuals to explore their sexuality and desires more freely. Secondly, the rise of digital technology and social media has made it easier for people to connect with others and seek out casual dating opportunities. The convenience and anonymity offered by online platforms have made casual dating more accessible and socially acceptable. Trends in the market indicate a growing number of users and a diversification of services. Casual dating platforms are constantly evolving to cater to the changing needs and preferences of their users. For example, there has been an increase in niche dating platforms that target specific demographics or interests, such as casual dating for LGBTQ+ individuals or casual dating for specific hobbies or lifestyles. This trend reflects the desire for more personalized and tailored experiences in the casual dating market. Local special circumstances in Northern Europe contribute to the development of the casual dating market. The region is known for its progressive and liberal values, which create a supportive environment for casual dating. The high level of gender equality and individual freedom in Northern European countries allows for more open and non-traditional relationships. Additionally, the relatively small population size in some countries in the region encourages the use of online platforms to expand one's dating pool. Underlying macroeconomic factors also play a role in the growth of the casual dating market. Northern Europe has a high standard of living and disposable income, which enables individuals to spend more on leisure activities, including casual dating. Moreover, the region has a well-developed digital infrastructure and high internet penetration rates, making it easier for people to access and use online dating platforms. In conclusion, the Casual Dating market in Northern Europe is experiencing growth and development due to changing customer preferences, evolving market trends, local special circumstances, and underlying macroeconomic factors. As societal norms continue to evolve and technology advances, the casual dating market in Northern Europe is likely to continue its upward trajectory.

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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