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 2024-2028) of 1.92%, resulting in a projected market volume of US$56.26m by 2028.
  • In the Matchmaking market, the number of users is expected to amount to 491.3k users by 2028.
  • User penetration will be 1.4% in 2024 and is expected to hit 1.4% by 2028.
  • 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.

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

 
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Analyst Opinion

The Matchmaking market in Northern Europe is experiencing significant growth and development due to changing customer preferences, emerging trends, and local special circumstances. Customer preferences in the Matchmaking market in Northern Europe have shifted towards online platforms and mobile applications. This is driven by the convenience and accessibility that these platforms offer. Customers are increasingly looking for ways to connect with potential partners in a fast and efficient manner, and online platforms provide them with the opportunity to do so. Additionally, customers in Northern Europe value privacy and discretion, and online platforms allow them to maintain a certain level of anonymity while seeking a partner. Trends in the market include the rise of niche matchmaking services that cater to specific demographics or interests. This allows customers to find partners who share similar values, hobbies, or backgrounds. Furthermore, there is a growing demand for personalized matchmaking services that offer a more tailored approach to finding a partner. These services often utilize advanced algorithms and data analysis to match individuals based on compatibility factors. Local special circumstances in Northern Europe also contribute to the development of the Matchmaking market. The region has a high percentage of single adults who are looking for meaningful relationships. This is due to various factors such as delayed marriage, increasing divorce rates, and a focus on career and personal development. As a result, there is a strong demand for matchmaking services that can help individuals find compatible partners. Underlying macroeconomic factors such as a stable economy, high disposable income, and a well-developed digital infrastructure also play a role in the growth of the Matchmaking market in Northern Europe. These factors create a conducive environment for the adoption of online platforms and mobile applications, as well as the willingness to invest in matchmaking services. In conclusion, the Matchmaking market in Northern Europe is developing rapidly due to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. The shift towards online platforms, the rise of niche and personalized matchmaking services, and the high demand for meaningful relationships are driving the growth of the market 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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