Market Insights Digital eServices Dating Services

Matchmaking - Spain

Spain

Revenue in the Matchmaking market is projected to reach €25.56m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 1.60%, resulting in a projected market volume of €27.24m by 2028.
In the Matchmaking market, the number of users is expected to amount to 491.3k users by 2028.
User penetration will be 1.0% in 2024 and is expected to hit 1.1% by 2028.
The average revenue per user (ARPU) is expected to amount to €55.27.
In global comparison, most revenue will be generated in China (€1,123.00m in 2024).
With a projected rate of 3.8%, the user penetration in the Matchmaking market is highest in South Korea.

Key regions: India, South Korea, China, Asia, United States

Mercado

Región

Comparación de regiones

Moneda

Analyst Opinion

The Matchmaking market in Spain has been experiencing significant growth in recent years. Customer preferences have shifted towards online platforms, leading to the emergence of numerous online dating and matchmaking services in the country.

Customer preferences: Spanish consumers have shown a growing interest in online dating and matchmaking services. This can be attributed to several factors, including the convenience and accessibility of these platforms. Online matchmaking allows individuals to connect with potential partners from the comfort of their own homes, eliminating the need for traditional dating methods. Additionally, the anonymity provided by online platforms appeals to many users who may be hesitant to approach potential partners in person.

Trends in the market: One of the key trends in the Spanish matchmaking market is the rise of niche dating platforms. These platforms cater to specific demographics or interests, such as religious affiliations, hobbies, or professions. This trend reflects the growing demand for personalized matchmaking services that cater to individuals with specific preferences or requirements. Additionally, there has been an increase in the use of artificial intelligence and data analytics in matchmaking services. These technologies allow for more accurate matching and personalized recommendations, enhancing the overall user experience.

Local special circumstances: Spain has a unique cultural context that influences the matchmaking market. The country has a strong emphasis on family values and relationships, which can impact the way individuals approach dating and matchmaking. Traditional gender roles and expectations may also play a role in shaping customer preferences and the types of matchmaking services that are popular in the country. Additionally, Spain's diverse population, with regional differences in customs and traditions, can contribute to the demand for specialized matchmaking services that cater to specific regions or communities.

Underlying macroeconomic factors: The growth of the matchmaking market in Spain is also influenced by underlying macroeconomic factors. Spain has experienced steady economic growth in recent years, leading to increased disposable income for many individuals. This has allowed consumers to allocate more resources towards leisure activities, including dating and matchmaking services. Additionally, Spain has a high smartphone penetration rate, which has facilitated the widespread adoption of online dating platforms. The availability of high-speed internet and the increasing acceptance of online dating as a mainstream method of meeting potential partners have also contributed to the growth of the matchmaking 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.