Dating Services - Netherlands

  • Netherlands
  • Revenue in the Dating Services market is projected to reach €49.23m in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 1.00%, resulting in a projected market volume of €51.22m by 2028.
  • The Online Dating market has a projected market volume of €21.14m in 2024.
  • In global comparison, most revenue will be generated in the United States (€2,338.00m in 2024).
  • The average revenue per user (ARPU) in the Dating Services market is projected to amount to €17.44 in 2024.
  • In the Dating Services market, the number of users is expected to amount to 3.0m users by 2028.
  • User penetration in the Dating Services market will be at 16.3% in 2024.

Key regions: Europe, India, Brazil, Asia, Germany

 
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Analyst Opinion

The Dating Services market in Netherlands has been experiencing significant growth in recent years, driven by changing customer preferences, emerging trends, and local special circumstances. Customer preferences in the Dating Services market have shifted towards online platforms and mobile applications, as individuals seek convenience and a wider pool of potential partners. This trend is in line with the global market, where online dating has become increasingly popular. The ease of access to these platforms, along with the ability to connect with people from different backgrounds and locations, has attracted a large number of users in Netherlands. Trends in the Dating Services market in Netherlands include the rise of niche dating platforms catering to specific interests or demographics. These platforms provide a more targeted approach to matchmaking, allowing users to find like-minded individuals with shared interests or values. Additionally, there has been an increase in the use of artificial intelligence and machine learning algorithms in dating platforms, which aim to improve the accuracy of matches and enhance the overall user experience. Local special circumstances in Netherlands that have contributed to the development of the Dating Services market include the high level of internet penetration and smartphone adoption. Netherlands has one of the highest internet penetration rates in Europe, with a large percentage of the population having access to the internet. This has facilitated the growth of online dating platforms and mobile applications, as individuals can easily connect with others through their smartphones or computers. Underlying macroeconomic factors, such as a strong economy and high disposable income, have also played a role in the growth of the Dating Services market in Netherlands. A strong economy provides individuals with the financial means to invest in dating services, while high disposable income allows for greater spending on leisure activities, including dating. These factors have created a favorable environment for the growth of the Dating Services market in Netherlands. In conclusion, the Dating Services market in Netherlands is experiencing growth due to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. The shift towards online platforms, the rise of niche dating platforms, and the use of artificial intelligence are driving the market forward. The high level of internet penetration, smartphone adoption, and strong economy in Netherlands have also contributed to the development of the market.

Methodology

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.

Visión general

  • Revenue
  • Market Shares
  • Analyst Opinion
  • Users
  • Demographics
  • Global Comparison
  • Methodology
  • Key Market Indicators
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