Matchmaking - Baltics

Baltics

Highlights

Revenue in the Matchmaking market is projected to reach US$2.48m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 1.56%, resulting in a projected market volume of US$2.64m by 2028.
In the Matchmaking market, the number of users is expected to amount to 53.9k 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$48.22.
In global comparison, most revenue will be generated China (US$1.21bn in 2024).
With a projected rate of 0.0, the user penetration in the Matchmaking market is highest 0.0.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Matchmaking market in Baltics has been steadily growing 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 convenience and efficiency, with more people opting for online dating platforms to meet potential partners. This trend can be attributed to the busy lifestyles of modern individuals, who often find it difficult to allocate time for traditional dating methods. Online dating platforms offer a convenient and time-saving solution, allowing users to browse through profiles and connect with potential matches at their own convenience. Another factor contributing to the growth of the Matchmaking market in Baltics is the increasing acceptance and normalization of online dating. In the past, there was a stigma associated with meeting someone online, but this perception has changed significantly in recent years. More people are now open to the idea of online dating, which has led to a larger user base for matchmaking platforms. In addition to online dating platforms, there has also been a rise in the popularity of matchmaking events and speed dating in Baltics. These events provide an opportunity for individuals to meet and interact with potential partners in a face-to-face setting. They offer a more personal and interactive experience compared to online platforms, which appeals to a certain segment of the population. Local special circumstances in Baltics, such as a relatively small population and a limited number of social opportunities, have also contributed to the growth of the Matchmaking market. In smaller communities, it can be challenging to meet new people and expand one's social circle. Matchmaking platforms and events provide a solution to this problem, offering individuals a wider pool of potential partners to choose from. Underlying macroeconomic factors, such as increasing disposable income and a growing middle class, have also played a role in the development of the Matchmaking market in Baltics. As people have more financial resources and stability, they are more likely to invest in activities and services that enhance their personal lives, including matchmaking services. Overall, the Matchmaking market in Baltics is experiencing growth due to changing customer preferences, increasing acceptance of online dating, local special circumstances, and underlying macroeconomic factors. As technology continues to advance and society becomes more interconnected, it is expected that the Matchmaking market will continue to expand in the coming years.

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.