Matchmaking - Mexico

  • Mexico
  • Revenue in the Matchmaking market is projected to reach US$33.46m in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 2.04%, resulting in a projected market volume of US$36.27m by 2028.
  • In the Matchmaking market, the number of users is expected to amount to 1.7m users by 2028.
  • User penetration will be 1.1% in 2024 and is expected to hit 1.2% by 2028.
  • The average revenue per user (ARPU) is expected to amount to US$23.10.
  • In global comparison, most revenue will be generated in China (US$1,211.00m 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

 
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Analyst Opinion

The Matchmaking market in Mexico has been experiencing significant growth in recent years, driven by changing customer preferences, emerging trends, and local special circumstances. Customer preferences in the Matchmaking market in Mexico have shifted towards online platforms and mobile applications. This can be attributed to the increasing use of smartphones and the internet, as well as the convenience and efficiency offered by these digital platforms. Customers now prefer to search for potential partners online, browse through profiles, and communicate through messaging features before meeting in person. This shift in customer preferences has led to the rise of online Matchmaking platforms in Mexico. Trends in the Matchmaking market in Mexico include the increasing popularity of niche Matchmaking services. Customers are now looking for more specialized Matchmaking services that cater to their specific interests and preferences. This includes services for specific religious groups, ethnicities, professions, and hobbies. Niche Matchmaking services provide a more targeted approach to finding compatible partners, increasing the chances of successful matches. Another trend in the Matchmaking market in Mexico is the integration of artificial intelligence and machine learning algorithms. Matchmaking platforms are using these technologies to analyze user data, preferences, and behavior patterns to make more accurate and personalized match recommendations. This not only improves the overall user experience but also increases the likelihood of successful matches. Local special circumstances in Mexico also contribute to the development of the Matchmaking market. Mexico has a large population of young adults who are increasingly open to using Matchmaking services to find partners. Additionally, Mexico has a rich cultural heritage that values relationships and family, making Matchmaking services an attractive option for individuals seeking long-term commitments. Underlying macroeconomic factors also play a role in the growth of the Matchmaking market in Mexico. A growing economy and increasing disposable income levels allow individuals to invest in Matchmaking services. Furthermore, changing social dynamics, such as an increase in the number of single individuals and a decrease in the stigma associated with online dating, contribute to the growing demand for Matchmaking services. In conclusion, the Matchmaking market in Mexico is developing due to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. The shift towards online platforms, the popularity of niche services, the integration of artificial intelligence, and the cultural importance of relationships all contribute to the growth of the market. With a favorable economic environment and evolving social dynamics, the Matchmaking market in Mexico is expected to continue its upward trajectory.

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