Market Insights Digital eServices Dating Services

Matchmaking - Hungary

Hungary

Revenue in the Matchmaking market is projected to reach €2.71m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 1.88%, resulting in a projected market volume of €2.92m by 2028.
In the Matchmaking market, the number of users is expected to amount to 69.8k users by 2028.
User penetration will be 0.7% in 2024 and is expected to hit 0.7% by 2028.
The average revenue per user (ARPU) is expected to amount to €41.30.
In global comparison, most revenue will be generated in China (€1,111.00m in 2024).
With a projected rate of 3.8%, the user penetration in the Matchmaking market is highest in South Korea.

Key regions: India, South Korea, China, Asia, United States

Mercado

Región

Comparación de regiones

Moneda

Analyst Opinion

The Matchmaking market in Hungary has been experiencing steady growth in recent years, driven by changing customer preferences and the increasing popularity of online dating platforms. Customer preferences in Hungary have shifted towards online dating platforms, as individuals seek convenient and efficient ways to meet potential partners. This trend is in line with global market developments, as online dating has become increasingly accepted and normalized worldwide. The ease of use and wide range of options offered by online dating platforms have made them a popular choice for individuals looking for love or companionship. In addition to online platforms, matchmaking agencies and events have also gained traction in Hungary. These services provide a more personalized approach to matchmaking, catering to individuals who prefer a more traditional and hands-on approach to finding a partner. Matchmaking agencies and events offer a curated selection of potential matches, taking into account factors such as personality, interests, and values. This personalized service appeals to individuals who value the expertise and guidance of professionals in the field. Local special circumstances in Hungary have also contributed to the development of the matchmaking market. Hungary has a relatively small population compared to other European countries, which can make it more challenging for individuals to find compatible partners through traditional means. As a result, many people turn to matchmaking services to expand their dating pool and increase their chances of finding a suitable partner. Underlying macroeconomic factors, such as increasing urbanization and changing social dynamics, have also played a role in the growth of the matchmaking market in Hungary. As more people move to cities and lead busy lifestyles, they may have limited opportunities to meet new people and form meaningful connections. Matchmaking services provide a solution by offering a convenient and efficient way to meet potential partners, saving individuals time and effort in their search for love. In conclusion, the Matchmaking market in Hungary is experiencing growth due to changing customer preferences, the popularity of online dating platforms, the appeal of personalized matchmaking services, local special circumstances, and underlying macroeconomic factors. As the market continues to evolve, it is likely that new innovations and technologies will emerge to further enhance the matchmaking experience and meet the evolving needs of individuals in Hungary.

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.