Market Insights eCommerce Dating Services

Matchmaking - Poland

Poland

Revenue in the Matchmaking market is projected to reach US$22.52m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 2.54%, resulting in a projected market volume of US$25.53m by 2029.
In the Matchmaking market, the number of users is expected to amount to 545.7k users by 2029.
User penetration will be 1.2% in 2024 and is expected to hit 1.4% by 2029.
The average revenue per user (ARPU) is expected to amount to US$46.07.
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

The Casual Dating market in Poland is experiencing significant growth and development due to changing customer preferences, market trends, local special circumstances, and underlying macroeconomic factors. Customer preferences in Poland have shifted towards more casual and non-committal relationships, leading to an increased demand for Casual Dating services. This change in preferences can be attributed to several factors, including the rise of individualism and the desire for personal freedom and independence. Additionally, the younger generation in Poland is more open-minded and progressive in their attitudes towards relationships, which has further fueled the demand for Casual Dating. Trends in the market indicate that online platforms and mobile applications have become the preferred method for meeting potential partners in Poland. These platforms offer convenience, anonymity, and a wide range of options, making it easier for individuals to engage in Casual Dating. The increasing use of smartphones and the availability of high-speed internet have also contributed to the popularity of online Casual Dating services in Poland. Local special circumstances in Poland, such as a busy lifestyle and a lack of time for traditional dating, have further propelled the growth of the Casual Dating market. Many individuals in Poland have demanding jobs and busy schedules, leaving them with limited time for socializing and building traditional relationships. Casual Dating provides a solution for these individuals by offering a flexible and convenient way to meet new people and engage in casual relationships. Underlying macroeconomic factors have also played a role in the development of the Casual Dating market in Poland. The country's growing economy and increasing disposable income have made it more affordable for individuals to spend money on leisure activities, including Casual Dating. Additionally, the high level of internet penetration in Poland has made online Casual Dating services accessible to a larger portion of the population. In conclusion, the Casual Dating market in Poland is experiencing growth and development due to changing customer preferences, market trends, local special circumstances, and underlying macroeconomic factors. The shift towards more casual and non-committal relationships, the popularity of online platforms and mobile applications, a busy lifestyle, and a growing economy have all contributed to the expansion of the Casual Dating market in Poland.

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.