Key regions: India, South Korea, China, Asia, United States
The Matchmaking market in Poland has been experiencing significant growth in recent years, driven by changing customer preferences and the increasing popularity of online dating platforms. Customer preferences in the Matchmaking market in Poland have shifted towards online platforms, as more and more people are turning to the internet to find their perfect match. This trend can be attributed to the convenience and accessibility offered by online dating platforms, which allow users to browse through a large pool of potential partners and connect with them from the comfort of their own homes. Additionally, the anonymity provided by these platforms has also appealed to many individuals, as it allows them to maintain a certain level of privacy while still engaging in the dating process. In addition to the shift towards online platforms, there has also been a growing demand for personalized matchmaking services in Poland. This trend can be attributed to the desire for a more personalized and tailored approach to finding a partner, as individuals are looking for services that take into account their specific preferences and requirements. These personalized matchmaking services often involve a more in-depth profiling process, where individuals are asked to provide detailed information about themselves and their ideal partner. This information is then used to match individuals with potential partners who meet their criteria. Local special circumstances in Poland have also contributed to the growth of the Matchmaking market. Poland has a relatively high population density, which means that there is a large pool of potential partners for individuals to choose from. This, combined with the increasing urbanization of the country, has created a favorable environment for the Matchmaking market to thrive. Additionally, the cultural and social norms in Poland also play a role in shaping customer preferences in the Matchmaking market. Traditional values and family-oriented culture have led many individuals to seek long-term relationships and marriage, which has further fueled the demand for matchmaking services. Underlying macroeconomic factors have also had an impact on the growth of the Matchmaking market in Poland. The country has experienced steady economic growth in recent years, which has led to an increase in disposable income and consumer spending. This has allowed individuals to allocate more resources towards finding a partner and investing in matchmaking services. Furthermore, the high level of internet penetration in Poland has made it easier for individuals to access online dating platforms and matchmaking services, further driving the growth of the market. Overall, the Matchmaking market in Poland is experiencing significant growth due to changing customer preferences, the increasing popularity of online platforms, and the favorable local circumstances and macroeconomic factors. As these trends continue to evolve, it is likely that the market will continue to expand and diversify, offering new opportunities for businesses operating in this sector.
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.
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