Dating Services - South America

  • South America
  • Revenue in the Dating Services market is projected to reach US$227.90m in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 0.81%, resulting in a projected market volume of US$235.40m by 2028.
  • The Matchmaking market has a projected market volume of US$102.10m in 2024.
  • In global comparison, most revenue will be generated in the United States (US$2,547.00m in 2024).
  • The average revenue per user (ARPU) in the Dating Services market is projected to amount to US$6.26 in 2024.
  • In the Dating Services market, the number of users is expected to amount to 39.9m users by 2028.
  • User penetration in the Dating Services market will be at 8.8% in 2024.

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

Region comparison

Analyst Opinion

The Dating Services market in South America is experiencing significant growth and development due to changing customer preferences, emerging trends, and local special circumstances. Customer preferences in the Dating Services market are shifting towards online platforms and mobile applications. South American consumers are increasingly relying on technology to find romantic partners, as online dating provides convenience and a wider pool of potential matches. This preference for online dating is driven by the increasing penetration of smartphones and internet access in the region, making it easier for people to connect with others through dating apps and websites. Additionally, the younger generation in South America is more open to the idea of online dating, further fueling the demand for digital dating services. Trends in the Dating Services market in South America include the rise of niche dating platforms and the integration of artificial intelligence (AI) technology. Niche dating platforms cater to specific demographics or interests, such as religious dating sites or platforms for LGBTQ+ individuals. These platforms provide a more tailored experience for users and attract a loyal customer base. AI technology is also being utilized in the Dating Services market to enhance user experiences, improve matchmaking algorithms, and provide personalized recommendations. This trend is driven by the need to offer more accurate and efficient matches to users, increasing their chances of finding compatible partners. Local special circumstances in South America also contribute to the development of the Dating Services market. Cultural factors, such as the importance of family and community in South American societies, can influence the way people approach dating. Dating services that take into account these cultural nuances and provide features that facilitate family involvement or community engagement are more likely to succeed in the region. Additionally, economic factors, such as high urbanization rates and busy lifestyles, contribute to the demand for dating services that offer convenience and time-saving features. Underlying macroeconomic factors, such as population growth and increasing disposable income, also play a role in the development of the Dating Services market in South America. As the population continues to grow, the potential customer base for dating services expands. Rising disposable income levels enable more people to afford dating services and increases their willingness to spend on finding romantic partners. These macroeconomic factors create a favorable environment for the growth of the Dating Services market in South America. In conclusion, the Dating Services market in South America is experiencing growth and development due to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. Online platforms and mobile applications are becoming increasingly popular, niche dating platforms and AI technology are emerging trends, cultural and economic factors in the region influence customer preferences, and population growth and increasing disposable income contribute to market growth.


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.


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.


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  • Users
  • Global Comparison
  • Key Players
  • Methodology
  • Key Market Indicators
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