Matchmaking - Ukraine

Ukraine

Highlights

Revenue in the Matchmaking market is projected to reach US$1.50m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of NaN%, resulting in a projected market volume of US$-254.60k by 2028.
In the Matchmaking market, the number of users is expected to amount to 100.3k users by 2028.
User penetration will be 0.2% in 2024 and is expected to hit 0.2% by 2028.
The average revenue per user (ARPU) is expected to amount to US$17.48.
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 Ukraine has been experiencing significant growth in recent years, driven by changing customer preferences and local special circumstances. Customer preferences in the Matchmaking market in Ukraine have shifted towards online platforms and mobile applications, as more people are seeking convenient and efficient ways to find potential partners. This trend is in line with the global market, where online matchmaking services have become increasingly popular. The ease of use and accessibility of these platforms, combined with the ability to connect with a larger pool of potential partners, has attracted a growing number of users in Ukraine. In addition to the shift towards online platforms, there has also been a growing demand for personalized matchmaking services in Ukraine. Many customers are willing to pay a premium for a more tailored and personalized matchmaking experience, as they believe it increases their chances of finding a compatible partner. This trend is driven by the desire for a more efficient and effective matchmaking process, as well as the increasing importance placed on finding a compatible partner for long-term relationships. The Matchmaking market in Ukraine is also influenced by local special circumstances. The country has a large population of single individuals, with a significant gender imbalance. There are more women than men in Ukraine, creating a competitive environment for matchmaking services. This has led to the development of specialized services that cater to the needs of both men and women, offering different features and services to attract and retain customers. Underlying macroeconomic factors also play a role in the development of the Matchmaking market in Ukraine. The country's economy has been improving in recent years, leading to increased disposable income and a higher standard of living for many individuals. This has resulted in a greater willingness to spend on leisure activities, including matchmaking services. As the economy continues to grow, it is expected that the Matchmaking market in Ukraine will continue to expand. In conclusion, the Matchmaking market in Ukraine is experiencing growth due to changing customer preferences, local special circumstances, and underlying macroeconomic factors. The shift towards online platforms and personalized matchmaking services, along with the country's gender imbalance and improving economy, have contributed to the development of the market. As these trends continue, it is likely that the Matchmaking market in Ukraine will continue to thrive 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.