Casual Dating - Guinea

  • Guinea
  • Revenue in the Casual Dating market is projected to reach US$278.10k in 2025.
  • Revenue is expected to show an annual growth rate (CAGR 2025-2029) of 5.14%, resulting in a projected market volume of US$339.80k by 2029.
  • In the Casual Dating market, the number of users is expected to amount to 181.1k users by 2029.
  • User penetration will be 0.9% in 2025 and is expected to hit 1.1% by 2029.
  • The average revenue per user (ARPU) is expected to amount to US$1.98.
  • In global comparison, most revenue will be generated in the United States (US$298.10m in 2025).
  • With a projected rate of 4.8%, the user penetration in the Casual Dating market is highest in Thailand.
 
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Analyst Opinion

The Online Dating market in Guinea is experiencing significant growth and development, driven by changing customer preferences and the increasing popularity of online dating platforms. Customer preferences in the Online Dating market in Guinea are shifting towards online platforms, as more people are seeking convenient and efficient ways to meet potential partners. Online dating provides a convenient way for individuals to connect with others who share similar interests and values, without the need for traditional dating methods. Additionally, online dating allows individuals to have a wider pool of potential partners, increasing their chances of finding a compatible match. Trends in the market show that more people in Guinea are embracing online dating as a social norm. This is partly due to the increasing use of smartphones and internet access, which has made it easier for individuals to access online dating platforms. Additionally, the COVID-19 pandemic has accelerated the adoption of online dating, as people have turned to virtual methods of meeting and connecting with others. Local special circumstances in Guinea also contribute to the development of the Online Dating market. Traditional dating methods in Guinea are often restricted by cultural norms and societal expectations, making it challenging for individuals to openly explore romantic relationships. Online dating platforms provide a more discreet and flexible alternative, allowing individuals to connect with others outside of their immediate social circles. Underlying macroeconomic factors such as urbanization and increasing disposable incomes also play a role in the growth of the Online Dating market in Guinea. As more people move to urban areas and experience higher levels of income, they have greater opportunities and resources to engage in online dating. Additionally, the younger population in Guinea, who are more tech-savvy and open to new experiences, are driving the demand for online dating services. In conclusion, the Online Dating market in Guinea is experiencing growth and development due to changing customer preferences, increasing smartphone and internet penetration, and the desire for a more convenient and flexible way to meet potential partners. The adoption of online dating platforms is also influenced by local special circumstances and underlying macroeconomic factors. As the market continues to evolve, it is likely that online dating will become an increasingly popular and accepted method of finding love and companionship in Guinea.

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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