The Netherlands, a country known for its rich history and cultural heritage, has also made its mark in the Online Dating market.
According to projections, the revenue in this market is set to reach €21.05m by 2024.
Looking ahead, the market is expected to display an annual growth rate (CAGR 2024-2028) of 0.31%, resulting in a projected market volume of €21.31m by 2028.
The number of users is projected to reach 2.6m users by 2028.
This indicates a growing interest in online dating platforms among the Dutch population.
User penetration, which measures the percentage of the total population using online dating services, is expected to rise from 14.3% in 2024 to 15.2% by 2028.
This suggests that an increasing number of individuals in the Netherlands are embracing the convenience and possibilities offered by online dating.
The average revenue per user (ARPU) in the Online Dating market is estimated to be €8.53.
This figure reflects the amount of revenue generated by each user on average, highlighting the potential profitability of the online dating industry in the Netherlands.
When comparing in the Netherlands to other countries on a global scale, it is interesting to note that in the United States leads in terms of revenue generation.
In 2024, in the United States is projected to generate a staggering €1,273.00m in revenue in the Online Dating market.
Additionally, with a projected user penetration rate of 17.9%, in the United States boasts the highest adoption of online dating services.
As in the Netherlands continues to navigate the ever-evolving landscape of online dating, it will be intriguing to observe how these projections unfold and whether the Dutch market can carve out its own unique place in the global Online Dating market industry.
"Online dating in the Netherlands is flourishing, driven by a culture that values open-mindedness and a strong sense of individualism."
The Online Dating market is made up of online services that offer a platform on which its members can flirt, chat or fall in love. Two noticeable examples are Tinder and Zoosk. In contrast to matchmaking services, online dating focuses on casual contacting and easy flirting among its members. The users normally carry out the search on their own. In doing so, they can apply search filters with regard to criteria such as age, location and other attributes.
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.
Apps and portals to flirt, chat or fall in love
Apps and portals that create matches based on users location (e.g. Tinder)
Apps and portals that create matches based on simple demographic criteria (e.g. Badoo)
Niche dating, such as portals or apps for vegetarians
Casual Dating for the search for non-committal sex
The Online Dating market in Netherlands has been experiencing significant growth in recent years, driven by changing customer preferences and the rise of online platforms.
Customer preferences: In Netherlands, there is a growing trend of people seeking romantic relationships through online dating platforms. This can be attributed to several factors, including the convenience and accessibility of these platforms, as well as the increasing acceptance of online dating as a legitimate way to meet potential partners. Additionally, the younger generation in Netherlands is more tech-savvy and comfortable with using online platforms for various purposes, including dating.
Trends in the market: One of the key trends in the online dating market in Netherlands is the shift towards mobile dating apps. With the increasing penetration of smartphones and the ease of use of mobile apps, more and more people are using these apps to connect with potential partners. This trend is also driven by the desire for instant gratification and the convenience of being able to connect with others anytime, anywhere. Another trend in the market is the rise of niche dating platforms catering to specific interests or demographics. These platforms allow users to find like-minded individuals who share their hobbies, interests, or cultural backgrounds. This trend reflects the growing demand for personalized and targeted dating experiences, as well as the desire for a more efficient way to find compatible partners.
Underlying macroeconomic factors: The strong economy and high disposable income in Netherlands contribute to the growth of the online dating market. People are more willing to spend money on dating services and subscriptions, which fuels the revenue growth of online dating platforms. Furthermore, the high level of education and career focus in Netherlands may lead to a higher demand for online dating, as individuals may have less time to socialize and meet potential partners through traditional means. In conclusion, the Online Dating market in Netherlands is experiencing growth due to changing customer preferences, including the shift towards mobile dating apps and the rise of niche dating platforms. The local special circumstances, such as the openness towards online dating and the emphasis on equality, also contribute to the market's development. Additionally, the strong economy and high disposable income in Netherlands provide a favorable environment for the growth of the online dating market.
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.