Market Insights eCommerce Dating Services

Matchmaking - United Kingdom

United Kingdom

Revenue in the Matchmaking market is projected to reach €102.20m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 1.46%, resulting in a projected market volume of €109.90m by 2029.
In the Matchmaking market, the number of users is expected to amount to 1,087.0k users by 2029.
User penetration will be 1.5% in 2024 and is expected to hit 1.6% by 2029.
The average revenue per user (ARPU) is expected to amount to €101.90.
In global comparison, most revenue will be generated in China (€1,111.00m 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 United Kingdom has been experiencing significant growth in recent years. Customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors have all contributed to this development. Customer preferences in the Casual Dating market in United Kingdom have shifted towards more flexible and non-committal relationships. Many individuals are opting for casual dating as it allows them to explore different connections without the pressure of a serious commitment. The convenience and ease of online dating platforms have also played a role in the growing popularity of casual dating, as they provide a convenient way to meet new people and arrange casual encounters. Trends in the market reflect the changing attitudes towards relationships and dating in United Kingdom. There has been a shift away from traditional dating norms, with more people embracing casual relationships and non-traditional forms of dating. This trend is driven by factors such as changing societal attitudes towards relationships, increased acceptance of casual dating, and a desire for personal freedom and independence. Local special circumstances in United Kingdom have also influenced the development of the Casual Dating market. The country has a diverse and multicultural population, which has contributed to the growth of niche dating platforms catering to specific communities or interests. Additionally, the prevalence of smartphones and high-speed internet access has made it easier for individuals to connect with potential partners and engage in casual dating. Underlying macroeconomic factors have also played a role in the growth of the Casual Dating market in United Kingdom. The country has a strong economy and a high level of disposable income, which allows individuals to spend more on leisure activities, including casual dating. Additionally, the increasing number of people living in urban areas and the rise of the gig economy have created a more flexible lifestyle, making casual dating a more viable option for many individuals. In conclusion, the Casual Dating market in United Kingdom has experienced significant growth due to changing customer preferences, evolving trends in the market, local special circumstances, and underlying macroeconomic factors. As attitudes towards relationships continue to evolve and technology advances, the market is expected to continue to expand in the coming years.

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.