Key regions: India, South Korea, China, Asia, United States
The Matchmaking market in EU-27 is experiencing significant growth due to changing customer preferences and the emergence of new trends in the market.
Customer preferences: Customers in EU-27 are increasingly turning to matchmaking services to find compatible partners due to the convenience and efficiency they offer. Matchmaking platforms provide a curated selection of potential partners based on individual preferences and compatibility factors, saving customers time and effort in their search for a suitable match. Additionally, the anonymity and privacy offered by these platforms are appealing to customers who value discretion in their personal lives.
Trends in the market: One of the key trends in the matchmaking market in EU-27 is the rise of online matchmaking platforms. These platforms leverage technology and algorithms to match individuals based on their profiles, interests, and compatibility factors. The widespread adoption of smartphones and internet connectivity has made these platforms easily accessible to a large number of people, leading to their popularity among customers. Furthermore, the COVID-19 pandemic has accelerated the adoption of online matchmaking platforms as people turned to virtual interactions and dating during lockdowns and social distancing measures. Another trend in the market is the increasing focus on niche matchmaking services. While traditional matchmaking services cater to a wide range of customers, niche platforms are targeting specific segments of the market. These niche platforms cater to customers with specific interests, lifestyles, or demographics, providing a more tailored matchmaking experience. This trend is driven by the growing demand for personalized services and the desire for a more targeted approach to finding a compatible partner.
Local special circumstances: The matchmaking market in EU-27 is influenced by local cultural norms and traditions. In some countries, there is a strong emphasis on family and community involvement in the matchmaking process, with parents playing a significant role in selecting potential partners for their children. This cultural context creates opportunities for traditional matchmaking services that cater to these preferences and provide personalized matchmaking services based on family values and traditions.
Underlying macroeconomic factors: The growing demand for matchmaking services in EU-27 can be attributed to several macroeconomic factors. Firstly, the increasing urbanization and busy lifestyles of individuals have led to a decline in social interactions and traditional methods of finding a partner. As a result, more people are turning to matchmaking services to expand their social circles and increase their chances of finding a compatible partner. Secondly, the high rate of divorce and changing societal attitudes towards relationships and marriage have contributed to the growth of the matchmaking market. Many individuals are seeking second or subsequent marriages and are looking for professional assistance in finding a suitable partner. Additionally, the growing acceptance of online dating and matchmaking services in mainstream society has further fueled the demand for these services. In conclusion, the Matchmaking market in EU-27 is experiencing significant growth due to changing customer preferences, the emergence of new trends, and underlying macroeconomic factors. Customers are increasingly turning to matchmaking services for their convenience and efficiency, while online platforms and niche services are gaining popularity. Local cultural norms and traditions also play a role in shaping the market, and macroeconomic factors such as urbanization and changing societal attitudes towards relationships contribute to its growth.
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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