Market Insights Digital eServices Dating Services

Matchmaking - Central America

Central America

Revenue in the Matchmaking market is projected to reach €11.72m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 5.63%, resulting in a projected market volume of €14.59m by 2028.
In the Matchmaking market, the number of users is expected to amount to 309.0k users by 2028.
User penetration will be 0.5% in 2024 and is expected to hit 0.6% by 2028.
The average revenue per user (ARPU) is expected to amount to €40.89.
In global comparison, most revenue will be generated in China (€1,107.00m 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 Central America has been experiencing significant growth in recent years. Customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors have all contributed to the development of this industry. Customer preferences in Central America have shifted towards online dating and matchmaking services. With the increasing use of smartphones and internet access, individuals are now more inclined to seek romantic relationships through online platforms. This preference for convenience and accessibility has led to the rise of various matchmaking apps and websites in the region. Trends in the market have also played a crucial role in the growth of the Matchmaking industry in Central America. The younger generation, in particular, has embraced online dating as a way to meet potential partners. The ease of connecting with others through these platforms has made it a popular choice for singles in the region. Additionally, social media and digital marketing strategies have helped matchmaking companies reach a wider audience and attract more users. Local special circumstances have further contributed to the development of the Matchmaking market in Central America. In some countries, cultural norms and traditions may make it challenging for individuals to meet potential partners through traditional means. Matchmaking services provide an alternative avenue for individuals to find love and companionship, especially for those who may face societal pressures or restrictions. Underlying macroeconomic factors have also played a role in the growth of the Matchmaking market in Central America. Economic stability and increasing disposable incomes have allowed individuals to invest in their personal lives, including finding a partner. As the region experiences economic growth, more people are willing to spend money on matchmaking services to enhance their chances of finding a compatible match. In conclusion, the Matchmaking market in Central America has experienced significant growth due to changing customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors. The convenience of online platforms, the increasing acceptance of digital dating, and the desire for companionship have all contributed to the development of this industry in the region. As technology continues to advance and societal norms evolve, the Matchmaking market in Central America is likely 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.