Matchmaking - Equatorial Guinea

  • Equatorial Guinea
  • Revenue in the Matchmaking market is projected to reach US$266.80k in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 0.72%, resulting in a projected market volume of US$276.60k by 2029.
  • In the Matchmaking market, the number of users is expected to amount to 7.6k users by 2029.
  • User penetration will be 0.4% in 2024 and is expected to hit 0.4% by 2029.
  • The average revenue per user (ARPU) is expected to amount to US$35.14.
  • 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 Equatorial Guinea is experiencing significant growth and development. Customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors all contribute to this positive trajectory. Customer preferences in Equatorial Guinea are shifting towards more casual and non-committal relationships. This can be attributed to several factors, including changing societal norms and increased exposure to global trends through technology and media. As the younger generation becomes more open-minded and adventurous, there is a growing demand for casual dating options. Trends in the market reflect this shift in customer preferences. Online dating platforms and mobile applications have gained popularity in Equatorial Guinea, providing individuals with a convenient and discreet way to connect with potential partners. These platforms offer a wide range of features and options, allowing users to tailor their dating experience to their specific preferences. Additionally, the availability of casual dating events and meetups has increased, providing opportunities for like-minded individuals to connect in person. Local special circumstances also contribute to the development of the Casual Dating market in Equatorial Guinea. The country's relatively small population and close-knit communities create a need for discreet and confidential dating options. Online platforms and mobile applications offer a level of anonymity that traditional dating methods may not provide, making them particularly appealing to individuals who value privacy. Underlying macroeconomic factors further support the growth of the Casual Dating market in Equatorial Guinea. The country has experienced steady economic growth in recent years, leading to an increase in disposable income among the population. This allows individuals to spend more on leisure activities, including casual dating. Additionally, the country's improving internet infrastructure and access to smartphones have made online dating more accessible to a larger segment of the population. In conclusion, the Casual Dating market in Equatorial Guinea is developing due to shifting customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors. As the demand for casual and non-committal relationships grows, online dating platforms and mobile applications are becoming increasingly popular. The country's small population and need for privacy contribute to the appeal of these platforms, while economic growth and improved internet infrastructure further support their development.

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