The Matchmaking market contains online services for the systematic search for partners by means of psychological tests or questionnaires. The main characteristic of these services is the fact that registered members search for life partners who are willing to enter into a long-term committed relationship. Furthermore, matchmaking services automatically recommend potential partners to their users. These suggestions are based primarily on personality tests, which can determine a suitable partner by means of matching algorithms.
Data includes revenue figures in Gross Merchandise Value (GMV), Users, average revenue per user (ARPU), and user penetration rate. User and revenue figures represent B2C services.
Matchmaking for the search for life partners
Matchmaking portals and apps that use mathematical algorithms to generate matches
Offline matchmaking services
Apps and portals that create matches based on users location (e.g. Spotted)
Apps and portals that create matches based on simple demographic criteria (e.g. Badoo)
Niche dating, such as portals or apps for vegetarians
The Matchmaking market in Netherlands has been experiencing significant growth in recent years. Customer preferences for online matchmaking platforms have been driving this growth, as individuals are increasingly turning to these services to find their ideal partners. Additionally, the market is benefiting from several local special circumstances and underlying macroeconomic factors that are creating a favorable environment for matchmaking services. Customer preferences in the Netherlands have shifted towards online matchmaking platforms due to their convenience and efficiency. These platforms offer a wide range of features that allow users to filter potential matches based on their preferences and interests, making it easier for individuals to find compatible partners. Furthermore, online matchmaking platforms provide a level of anonymity and discretion that traditional matchmaking methods may not offer, appealing to individuals who value their privacy. The market is also being driven by the increasing number of singles in the Netherlands. As more people delay marriage and focus on their careers, the demand for matchmaking services has grown. Online platforms provide a convenient way for busy professionals to meet potential partners, as they can browse profiles and communicate with others at their own pace and schedule. In addition to customer preferences, several local special circumstances are contributing to the growth of the matchmaking market in the Netherlands. The country has a high internet penetration rate, with a large portion of the population having access to the internet. This widespread internet usage has created a large pool of potential users for online matchmaking platforms. Furthermore, the Netherlands has a progressive and open-minded culture, which has contributed to the acceptance and popularity of online matchmaking services. The country has a high level of social acceptance towards online dating and has embraced the use of technology to find romantic partners. Underlying macroeconomic factors, such as a strong economy and high disposable income, have also played a role in the growth of the matchmaking market in the Netherlands. With a stable and prosperous economy, individuals in the country have more financial resources to invest in matchmaking services. This has allowed online platforms to offer premium features and services, attracting a larger user base. In conclusion, the matchmaking market in the Netherlands is experiencing significant growth due to customer preferences for online platforms, local special circumstances, and underlying macroeconomic factors. As more individuals turn to online matchmaking services to find their ideal partners, the market is expected to continue expanding in the coming years.
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.
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.
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.