Market Insights eCommerce Dating Services

Matchmaking - Romania

Romania

Revenue in the Matchmaking market is projected to reach US$3.85m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 0.41%, resulting in a projected market volume of US$3.93m by 2029.
In the Matchmaking market, the number of users is expected to amount to 104.8k users by 2029.
User penetration will be 0.5% in 2024 and is expected to hit 0.6% by 2029.
The average revenue per user (ARPU) is expected to amount to US$37.12.
In global comparison, most revenue will be generated in China (US$1,211.00m in 2024).
With a projected rate of 3.8%, the user penetration in the Matchmaking market is highest in South Korea.

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Analyst Opinion

As the popularity of online dating continues to rise, the Casual Dating market in Romania is also experiencing significant growth.

Customer preferences: Romanian consumers are increasingly turning to online platforms for casual dating, as they offer a convenient and efficient way to meet new people. The anonymity and ease of use provided by these platforms appeal to individuals who are looking for casual relationships or simply want to explore their options. Additionally, the younger generation in Romania, who are more tech-savvy and open-minded, are more likely to embrace casual dating as a way to meet potential partners.

Trends in the market: One of the key trends in the Casual Dating market in Romania is the emergence of niche dating platforms. These platforms cater to specific interests or communities, allowing users to find like-minded individuals more easily. For example, there are platforms specifically designed for LGBTQ+ individuals, single parents, or people with specific hobbies or interests. This trend reflects the growing demand for tailored experiences and the desire for more meaningful connections. Another trend in the market is the increasing use of mobile dating apps. With the widespread availability of smartphones and the convenience they offer, more people are using dating apps to connect with others. These apps provide a seamless user experience and allow individuals to browse and connect with potential matches on the go. The popularity of mobile dating apps has also led to a shift in the way people approach casual dating, with more emphasis on quick connections and casual encounters.

Local special circumstances: Romania has a relatively young population, with a significant percentage of its population under the age of 35. This demographic is more likely to engage in casual dating and embrace online platforms as a way to meet new people. Additionally, Romania has a growing urban population, which further contributes to the demand for casual dating services. The urban lifestyle often leaves little time for traditional dating methods, making online platforms a more convenient option.

Underlying macroeconomic factors: The growing popularity of casual dating in Romania can also be attributed to the country's improving economic conditions. As disposable incomes increase, individuals have more resources to spend on leisure activities, including casual dating. Additionally, the increasing number of internet users in Romania has made online platforms more accessible to a larger audience. The combination of these factors has created a favorable environment for the growth of the Casual Dating market in Romania. Overall, the Casual Dating market in Romania is experiencing significant growth due to changing customer preferences, the emergence of niche dating platforms, the increasing use of mobile dating apps, the young and urban population, and the improving economic conditions in the country. As online dating continues to evolve, it is expected that the Casual Dating market in Romania will continue to expand and adapt to meet the changing needs and preferences of its customers.

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.