Casual Dating - Rwanda

Rwanda

Highlights

Revenue in the Casual Dating market is projected to reach US$585.30k in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of -71.95%, resulting in a projected market volume of US$3.62k by 2028.
In the Casual Dating market, the number of users is expected to amount to 246.7k users by 2028.
User penetration will be 1.4% in 2024 and is expected to hit 1.6% by 2028.
The average revenue per user (ARPU) is expected to amount to US$2.87.
In global comparison, most revenue will be generated United States (US$293.80m in 2024).
With a projected rate of 4.5%, the user penetration in the Casual Dating market is highest United States.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Casual dating has become increasingly popular in Rwanda in recent years, with a growing number of people embracing this modern approach to relationships.

Customer preferences: Rwandan consumers are increasingly seeking casual dating experiences as they prioritize personal freedom and independence. This shift can be attributed to changing societal norms and increased exposure to global trends through the internet and social media. Young adults, in particular, are more open to casual dating as they explore their options and focus on personal growth and self-discovery.

Trends in the market: The casual dating market in Rwanda is witnessing a surge in online platforms and mobile applications that cater specifically to this segment. These platforms provide a convenient and discreet way for individuals to connect with like-minded people, facilitating casual encounters and relationships. The ease of use and accessibility of these platforms have contributed to their popularity and widespread adoption among Rwandan consumers.

Local special circumstances: Rwanda's unique cultural landscape and history play a role in shaping the casual dating market in the country. The traditional values of respect and modesty are still prevalent, but there is also a growing acceptance of modern dating practices. This blend of tradition and modernity creates a unique environment where casual dating can thrive. Additionally, the relatively small size of the country and close-knit communities contribute to the popularity of casual dating, as individuals seek to expand their social circles and meet new people.

Underlying macroeconomic factors: Rwanda's growing economy and increasing urbanization have also contributed to the development of the casual dating market. As more people move to urban areas for work and education, they are exposed to new ideas and lifestyles. This exposure, coupled with rising disposable incomes, has led to a greater willingness to explore casual dating as a form of social interaction. In conclusion, the casual dating market in Rwanda is experiencing significant growth as consumer preferences shift towards more flexible and non-traditional relationship dynamics. The rise of online platforms and mobile applications, combined with changing societal norms and economic factors, have created a favorable environment for the development of this market. As Rwanda continues to modernize and embrace global trends, it is likely that the casual dating market will continue to expand in the coming years.

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.