Casual Dating - Eastern Europe

Eastern Europe

Highlights

Revenue in the Casual Dating market is projected to reach US$9.08m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of -2.97%, resulting in a projected market volume of US$7.81m by 2029.
In the Casual Dating market, the number of users is expected to amount to 6.9m users by 2029.
User penetration will be 2.6% in 2024 and is expected to hit 2.9% by 2029.
The average revenue per user (ARPU) is expected to amount to US$1.48.
In global comparison, most revenue will be generated United States (US$293.80m in 2024).
With a projected rate of 4.6%, the user penetration in the Casual Dating market is highest Armenia.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Online Dating market in Eastern Europe has been experiencing steady growth in recent years, driven by changing customer preferences and the increasing popularity of online dating platforms. Customer preferences in Eastern Europe have shifted towards online dating platforms as a convenient and efficient way to meet potential partners. With busy lifestyles and limited time for traditional dating methods, many individuals in Eastern Europe are turning to online dating as a viable alternative. Additionally, the younger generation in particular is more comfortable with technology and the idea of meeting people online, further fueling the growth of the online dating market in the region. Trends in the market show that online dating platforms in Eastern Europe are adapting to meet the specific needs and preferences of the local population. For example, some platforms are focusing on niche markets, such as dating for professionals or specific ethnic groups, to cater to the diverse population in Eastern Europe. This targeted approach allows online dating platforms to differentiate themselves and attract a specific customer base. Local special circumstances also play a role in the development of the online dating market in Eastern Europe. Cultural factors, such as the importance of family and traditional values, may influence the way individuals approach online dating. Online dating platforms that understand and respect these cultural norms are more likely to succeed in Eastern Europe. Underlying macroeconomic factors, such as increasing internet penetration and smartphone adoption rates, are also contributing to the growth of the online dating market in Eastern Europe. As more people gain access to the internet and smartphones, the potential customer base for online dating platforms expands. This increased connectivity allows individuals in Eastern Europe to connect with others from different regions and backgrounds, further driving the demand for online dating services. Overall, the Online Dating market in Eastern Europe is developing in response to changing customer preferences, local special circumstances, and underlying macroeconomic factors. As technology continues to advance and online dating becomes more mainstream, we can expect further growth and innovation in the online dating market in Eastern Europe.

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.