Market Insights eCommerce Dating Services

Matchmaking - EAEU

EAEU

Revenue in the Matchmaking market is projected to reach US$39.17m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 4.14%, resulting in a projected market volume of US$47.98m by 2029.
In the Matchmaking market, the number of users is expected to amount to 0.00 by 2029.
User penetration will be 0.00 in 2024 and is expected to hit 0.00 by 2029.
The average revenue per user (ARPU) is expected to amount to 0.00.
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 EAEU is experiencing significant growth and development, driven by changing customer preferences, emerging trends, and local special circumstances. Customer preferences in the Casual Dating market are shifting towards more convenient and accessible platforms. With the rise of technology and smartphones, people are increasingly looking for ways to connect with others online. This has led to the popularity of mobile dating apps and websites, which offer a convenient and discreet way to meet potential partners. Additionally, customers are seeking platforms that cater to specific interests and preferences, such as niche dating sites for specific age groups, ethnicities, or hobbies. Trends in the Casual Dating market in EAEU are influenced by global and regional factors. One major trend is the increasing acceptance and normalization of online dating. As social stigmas surrounding online dating continue to diminish, more people are willing to try it as a way to meet new people. This trend is further fueled by the COVID-19 pandemic, which has limited traditional dating opportunities and increased the reliance on digital platforms. Another trend in the market is the growing popularity of casual and non-committal relationships. Many individuals are opting for casual dating experiences rather than long-term commitments. This trend can be attributed to changing societal norms and a desire for freedom and flexibility in personal relationships. Local special circumstances also play a role in the development of the Casual Dating market in EAEU. Cultural factors and traditions influence dating preferences and behaviors in different countries within the region. For example, in some EAEU countries, traditional gender roles and expectations may impact the way people approach dating. Additionally, economic factors such as income levels and job opportunities can affect the demand for casual dating services. Underlying macroeconomic factors also contribute to the growth of the Casual Dating market in EAEU. Economic stability and increasing disposable incomes allow individuals to spend more on leisure activities, including dating. Moreover, urbanization and the growth of the middle class in many EAEU countries create a larger pool of potential customers for casual dating services. In conclusion, the Casual Dating market in EAEU is developing rapidly due to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. The increasing acceptance of online dating, the popularity of casual relationships, and the convenience of mobile dating apps are driving the growth of the market. Cultural factors, economic stability, and urbanization also play a significant role in shaping the market dynamics.

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.