Matchmaking - United Kingdom

  • United Kingdom
  • Revenue in the Matchmaking market is projected to reach US$111.30m in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 1.69%, resulting in a projected market volume of US$119.00m by 2028.
  • In the Matchmaking market, the number of users is expected to amount to 1,071.0k users by 2028.
  • User penetration will be 1.4% in 2024 and is expected to hit 1.5% by 2028.
  • The average revenue per user (ARPU) is expected to amount to US$111.10.
  • 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

Region comparison

Analyst Opinion

The Matchmaking market in United Kingdom has been experiencing significant growth in recent years. Customer preferences have shifted towards online platforms, leading to the rise of digital matchmaking services. This trend is driven by the convenience and accessibility of online platforms, as well as the increasing acceptance of online dating among the population.

Customer preferences:
Customers in the United Kingdom are increasingly turning to online matchmaking services to find romantic partners. This shift can be attributed to several factors. Firstly, online platforms offer a wide range of options, allowing individuals to connect with potential partners who they may not have otherwise encountered in their daily lives. Additionally, online matchmaking services provide a level of convenience and efficiency that traditional methods may not offer. With busy lifestyles and limited time for socializing, many individuals find it easier to search for potential partners online.

Trends in the market:
One of the key trends in the Matchmaking market in United Kingdom is the rise of niche dating platforms. These platforms cater to specific interests or demographics, such as religious affiliations, specific hobbies, or age groups. This trend reflects the growing demand for personalized matchmaking services that cater to individual preferences and interests. Niche dating platforms allow individuals to connect with like-minded individuals, increasing the likelihood of finding a compatible partner. Another trend in the market is the integration of artificial intelligence (AI) and machine learning algorithms into matchmaking services. These technologies analyze user data and preferences to provide more accurate and personalized matches. AI algorithms can identify patterns and similarities between users, increasing the likelihood of successful matches. This trend is driven by the increasing availability and affordability of AI technologies, as well as the desire for more efficient and effective matchmaking services.

Local special circumstances:
The United Kingdom has a diverse population with varying cultural and religious backgrounds. This diversity has led to the development of specialized matchmaking services that cater to specific communities. For example, there are matchmaking platforms specifically designed for the Muslim community, Jewish community, and LGBTQ+ community. These platforms provide a safe and inclusive space for individuals to connect with others who share their values and beliefs.

Underlying macroeconomic factors:
The Matchmaking market in United Kingdom is influenced by several macroeconomic factors. Firstly, the growing popularity of online matchmaking services can be attributed to the increasing internet penetration and smartphone usage in the country. The widespread availability of high-speed internet and the affordability of smartphones have made online dating more accessible to a larger population. Additionally, changing societal norms and attitudes towards relationships and marriage have also contributed to the growth of the matchmaking market. The United Kingdom has seen a shift towards later marriages and an increase in the number of single individuals. This has created a larger pool of potential customers for matchmaking services. In conclusion, the Matchmaking market in United Kingdom is experiencing growth due to the increasing preference for online platforms, the rise of niche dating services, the integration of AI and machine learning, and the diverse population with specialized matchmaking needs. These trends are influenced by underlying macroeconomic factors such as internet penetration, changing societal norms, and demographics.


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.


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.


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