Market Insights eCommerce Dating Services

Matchmaking - Costa Rica

Costa Rica

Revenue in the Matchmaking market is projected to reach US$2.44m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 2.42%, resulting in a projected market volume of US$2.75m by 2029.
In the Matchmaking market, the number of users is expected to amount to 41.9k users by 2029.
User penetration will be 0.7% in 2024 and is expected to hit 0.8% by 2029.
The average revenue per user (ARPU) is expected to amount to US$63.78.
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.

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Analyst Opinion

The Casual Dating market in Costa Rica is experiencing significant growth and development due to changing customer preferences, emerging trends in the market, local special circumstances, and underlying macroeconomic factors. Customer preferences in the Casual Dating market are shifting towards more casual and non-committal relationships. This is driven by a desire for freedom and flexibility among individuals, especially younger generations. The convenience and accessibility of online dating platforms have also made it easier for people to engage in casual dating without the need for long-term commitments. Trends in the market indicate a growing acceptance and normalization of casual dating in Costa Rica. This is influenced by global trends in the dating industry, as well as the increasing influence of Western culture. As societal norms evolve, more people are open to exploring casual relationships and are less stigmatized by the idea of non-committal dating. This trend is particularly evident among urban populations and younger demographics. Local special circumstances in Costa Rica contribute to the development of the Casual Dating market. The country's tourism industry, which attracts a large number of international visitors, creates opportunities for casual dating experiences. Many tourists, both domestic and international, are looking for short-term connections and casual experiences while traveling. This has led to the growth of casual dating services and platforms catering to this specific market segment. Underlying macroeconomic factors also play a role in the development of the Casual Dating market in Costa Rica. Economic growth and increasing disposable incomes have enabled more people to participate in casual dating activities. As individuals have more financial resources, they are able to afford the costs associated with casual dating, such as dining out, entertainment, and travel. Additionally, the rise of the gig economy and flexible work arrangements have provided individuals with more free time and flexibility to engage in casual dating. In conclusion, the Casual Dating market in Costa Rica is experiencing growth and development due to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. The shift towards more casual and non-committal relationships, the normalization of casual dating, the influence of the tourism industry, and the economic factors all contribute to the expansion of the market. As these factors continue to evolve, the Casual Dating market in Costa Rica is expected to further develop and thrive.

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.