The Matchmaking market in Costa Rica has been experiencing significant growth in recent years. Customers in this market have shown a strong preference for online matchmaking platforms, which offer convenience and a wide selection of potential partners. Additionally, the increasing popularity of online dating apps and social media platforms has contributed to the growth of the matchmaking market in Costa Rica.
Customer preferences: Customers in Costa Rica prefer online matchmaking platforms due to the convenience they offer. These platforms allow individuals to create profiles, search for potential partners, and communicate with them from the comfort of their own homes. Online matchmaking also provides a wide selection of potential partners, allowing individuals to find someone who matches their specific preferences and criteria.
Trends in the market: One of the key trends in the matchmaking market in Costa Rica is the increasing use of online dating apps and social media platforms. These platforms have gained popularity among individuals of all ages, providing them with a convenient and accessible way to meet new people. The rise of smartphones and internet connectivity has further fueled this trend, as more people have access to these platforms. Another trend in the market is the growing acceptance of online matchmaking among older adults. In the past, matchmaking was often seen as something reserved for younger generations. However, as online dating has become more mainstream, older adults are also embracing these platforms as a way to find companionship and romantic partners.
Local special circumstances: Costa Rica is known for its vibrant tourism industry, attracting visitors from all over the world. This has created a unique market for matchmaking services, as tourists may be interested in meeting locals or other travelers during their stay. Matchmaking platforms that cater to this niche market have emerged, offering services specifically designed for tourists looking for short-term connections or companionship.
Underlying macroeconomic factors: The growth of the matchmaking market in Costa Rica can be attributed to several underlying macroeconomic factors. Firstly, the country has experienced steady economic growth in recent years, leading to an increase in disposable income among its population. This has allowed more individuals to afford the services offered by matchmaking platforms. Additionally, Costa Rica has a relatively high internet penetration rate, with a large percentage of the population having access to the internet. This has facilitated the growth of online matchmaking platforms, as more people are able to connect and interact online. In conclusion, the matchmaking market in Costa Rica is experiencing significant growth due to customer preferences for online platforms, the increasing popularity of online dating apps and social media platforms, and the unique circumstances of the country's tourism industry. These trends, combined with underlying macroeconomic factors such as economic growth and high internet penetration, are driving the development of the matchmaking market in Costa Rica.
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.
Mon - Fri, 9am - 6pm (EST)
Mon - Fri, 9am - 5pm (SGT)
Mon - Fri, 10:00am - 6:00pm (JST)
Mon - Fri, 9:30am - 5pm (GMT)
Mon - Fri, 9am - 6pm (EST)
