Matchmaking - Belarus

Belarus

Highlights

Revenue in the Matchmaking market is projected to reach US$891.40k in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 1.63%, resulting in a projected market volume of US$950.90k by 2028.
In the Matchmaking market, the number of users is expected to amount to 27.6k users by 2028.
User penetration will be 0.3% in 2024 and is expected to hit 0.3% by 2028.
The average revenue per user (ARPU) is expected to amount to US$35.63.
In global comparison, most revenue will be generated China (US$1.21bn in 2024).
With a projected rate of 3.8%, the user penetration in the Matchmaking market is highest South Korea.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Matchmaking market in Belarus has been experiencing significant growth in recent years, driven by changing customer preferences and the increasing popularity of online dating platforms. Customer preferences in the Matchmaking market have shifted towards online platforms, as individuals seek convenience and a wider pool of potential partners. Online dating provides users with the ability to browse through profiles and connect with others from the comfort of their own homes, making it an attractive option for busy individuals. Additionally, the stigma surrounding online dating has decreased, further fueling the growth of the market. Trends in the Matchmaking market in Belarus include the rise of niche dating platforms catering to specific interests or demographics. These platforms allow individuals to find like-minded partners and increase the chances of compatibility. Furthermore, there has been an increase in the use of mobile dating apps, as smartphones become more prevalent and accessible. These apps provide users with a convenient and user-friendly way to connect with potential partners on the go. Local special circumstances in Belarus have also contributed to the growth of the Matchmaking market. The country has a relatively small population compared to other European countries, which can make it challenging for individuals to meet potential partners in traditional ways. Online dating platforms offer a solution to this problem, providing a larger pool of potential partners and increasing the chances of finding a compatible match. Underlying macroeconomic factors have also played a role in the development of the Matchmaking market in Belarus. The country has experienced economic growth in recent years, leading to an increase in disposable income and a higher standard of living. This has allowed individuals to allocate more resources towards dating and relationships, driving the demand for matchmaking services. In conclusion, the Matchmaking market in Belarus is growing rapidly due to changing customer preferences, the rise of online platforms, and the increasing popularity of niche dating services. Local special circumstances, such as a relatively small population, have further fueled the growth of the market. Additionally, underlying macroeconomic factors, such as economic growth and increased disposable income, have contributed to the development of the market.

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.