Matchmaking - Netherlands

Netherlands

Highlights

Revenue in the Matchmaking market is projected to reach US$18.10m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 1.66%, resulting in a projected market volume of US$19.65m by 2029.
In the Matchmaking market, the number of users is expected to amount to 199.2k users by 2029.
User penetration will be 1.1% in 2024 and is expected to hit 1.1% by 2029.
The average revenue per user (ARPU) is expected to amount to US$96.06.
In global comparison, most revenue will be generated China (US$1.21bn in 2024).
With a projected rate of 3.8%, the user penetration in the Matchmaking market is highest South Korea.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Casual Dating market in Netherlands has been experiencing significant growth in recent years.

Customer preferences: One of the main reasons for the growth in the Casual Dating market in Netherlands is the changing customer preferences. With the increasing digitization and busy lifestyles, people are looking for convenient and efficient ways to meet new people and form connections. Casual dating platforms provide a convenient solution for individuals who are looking for short-term relationships or casual encounters. These platforms offer a wide range of features and options, allowing users to easily find and connect with potential partners based on their preferences and interests.

Trends in the market: There are several key trends driving the growth of the Casual Dating market in Netherlands. Firstly, there has been a shift towards online dating platforms, as more people are becoming comfortable with using technology to meet new people. This trend is further accelerated by the increasing popularity of smartphones, which provide easy access to dating apps and websites. Additionally, there is a growing acceptance of casual relationships and non-traditional forms of dating in Netherlands. This cultural shift has contributed to the increasing demand for casual dating platforms.

Local special circumstances: Netherlands has a unique cultural and social environment that has influenced the development of the Casual Dating market. The country has a liberal and open-minded attitude towards relationships and sexuality, which has created a favorable environment for casual dating. The Dutch society is known for its progressive views on sex and relationships, and this openness has contributed to the growth of the Casual Dating market. Additionally, the high internet penetration rate in Netherlands has made it easier for people to access and use online dating platforms.

Underlying macroeconomic factors: The strong economy of Netherlands has also played a role in the growth of the Casual Dating market. The country has a high disposable income and a high standard of living, which allows people to spend more on leisure activities, including casual dating. Furthermore, the high level of education and employment opportunities in Netherlands has resulted in a busy and career-focused population. This has led to a greater demand for casual dating platforms, as people are looking for convenient ways to meet new people amidst their busy schedules. In conclusion, the Casual Dating market in Netherlands is experiencing significant growth due to changing customer preferences, the popularity of online dating platforms, the cultural openness towards casual relationships, and the strong economy of the country. These factors have created a favorable environment for the development and expansion of the Casual Dating market in Netherlands.

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.