Market Insights Digital eServices Dating Services

Casual Dating - Baltics

Baltics

Revenue in the Casual Dating market is projected to reach US$1.57m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 1.25%, resulting in a projected market volume of US$1.65m by 2028.
In the Casual Dating market, the number of users is expected to amount to 117.7k users by 2028.
User penetration will be 0.00 in 2024 and is expected to hit 0.00 by 2028.
The average revenue per user (ARPU) is expected to amount to US$14.10.
In global comparison, most revenue will be generated in the United States (US$293.80m in 2024).
With a projected rate of 0, the user penetration in the Casual Dating market is highest 0.

Key regions: United States, China, Japan, Germany, Europe

Market

Region

Region comparison

Currency

Analyst Opinion

The Casual Dating market in the Baltics 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 have shifted towards more casual and non-committal relationships. People are increasingly seeking short-term connections and casual encounters rather than long-term commitments. This change in preferences can be attributed to a variety of factors, including changing societal norms, increased urbanization, and the influence of digital technology. Trends in the market indicate a growing acceptance and popularity of Casual Dating in the Baltics. Online dating platforms and mobile applications have made it easier for people to connect with others who share similar interests and desires. These platforms provide a convenient and discreet way for individuals to meet potential partners for casual relationships. Additionally, the rise of social media has created a culture of self-expression and exploration, encouraging individuals to seek new experiences and connections. Local special circumstances in the Baltics have also contributed to the development of the Casual Dating market. The region has a relatively young population, with a high proportion of millennials and young professionals. This demographic is more open-minded and progressive when it comes to relationships and dating. Furthermore, the Baltics have a vibrant nightlife scene and a culture that values socializing and meeting new people, creating an environment conducive to Casual Dating. Underlying macroeconomic factors have played a role in the growth of the Casual Dating market in the Baltics. Economic stability and increasing disposable incomes have allowed individuals to prioritize leisure activities, including dating and socializing. As the economy improves, people are more willing to spend money on experiences and entertainment, including Casual Dating. In conclusion, the Casual Dating market in the Baltics has experienced significant growth due to changing customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors. The shift towards more casual and non-committal relationships, the popularity of online dating platforms, the region's young demographic, and economic stability have all contributed to the development of this market.

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.