Casual Dating - Spain

  • Spain
  • Revenue in the Casual Dating market is projected to reach US$17.42m in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 0.84%, resulting in a projected market volume of US$18.16m by 2029.
  • In the Casual Dating market, the number of users is expected to amount to 1.2m users by 2029.
  • User penetration will be 2.2% in 2024 and is expected to hit 2.5% by 2029.
  • The average revenue per user (ARPU) is expected to amount to US$16.54.
  • In global comparison, most revenue will be generated in the United States (US$293.80m in 2024).
  • With a projected rate of 4.6%, the user penetration in the Casual Dating market is highest in Armenia.
 
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Analyst Opinion

The Online Dating market in Spain is experiencing steady growth and development, driven by changing customer preferences and local special circumstances.

Customer preferences:
In Spain, there is a growing acceptance and popularity of online dating among individuals of all age groups. Young adults and professionals, in particular, are increasingly turning to online platforms to meet potential partners due to the convenience and efficiency it offers. The ability to connect with a larger pool of potential matches and the ease of filtering through profiles based on specific preferences are key factors driving the preference for online dating in Spain. Additionally, the COVID-19 pandemic has further accelerated the adoption of online dating as people seek alternative ways to meet and connect with others.

Trends in the market:
One notable trend in the Spanish online dating market is the rise of niche dating platforms catering to specific interests or demographics. These platforms offer a more tailored and specialized experience, allowing users to find like-minded individuals with shared hobbies, values, or cultural backgrounds. This trend reflects the increasing demand for personalized and niche dating experiences, as users seek to find more meaningful connections. Another trend in the market is the integration of advanced technologies, such as artificial intelligence and machine learning, into online dating platforms. These technologies enable more accurate and efficient matching algorithms, improving the overall user experience and increasing the chances of finding compatible partners. Features like personality tests and compatibility assessments are also becoming more common, providing users with a more scientific approach to finding love.

Local special circumstances:
Spain's vibrant and social culture plays a significant role in the development of the online dating market. The Spanish population is known for its strong emphasis on socializing and building connections, making online dating a natural extension of this cultural norm. Additionally, Spain has a high smartphone penetration rate, which further facilitates the use of online dating apps and platforms.

Underlying macroeconomic factors:
The Spanish economy has been steadily recovering from the global financial crisis, leading to increased disposable income and consumer spending. This economic stability has contributed to the growth of the online dating market, as individuals have more financial resources to invest in their personal lives. Furthermore, Spain has a relatively high rate of urbanization, with a significant portion of the population living in major cities. This concentration of population in urban areas provides a large and diverse pool of potential users for online dating platforms. In conclusion, the Online Dating market in Spain is experiencing growth and development driven by changing customer preferences, such as the preference for convenience and efficiency, as well as the rise of niche dating platforms. The integration of advanced technologies and Spain's vibrant social culture also contribute to the market's development. Additionally, underlying macroeconomic factors, such as economic stability and urbanization, further support the growth of the online dating market in Spain.

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.

Overview

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