Market Insights eCommerce Dating Services

Matchmaking - Uganda

Uganda

Revenue in the Matchmaking market is projected to reach US$3.51m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of -4.15%, resulting in a projected market volume of US$2.84m by 2029.
In the Matchmaking market, the number of users is expected to amount to 244.3k 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$16.93.
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.

Market

Region

Region comparison

Currency

Analyst Opinion

Casual dating is gaining popularity in Uganda as more and more people are looking for casual relationships and connections.

Customer preferences: In Uganda, there is a growing trend of individuals seeking casual dating experiences. This is driven by a variety of factors, including changing societal norms, increased exposure to Western culture through media and technology, and a desire for freedom and personal exploration. Many people in Uganda are now open to the idea of casual dating and are actively seeking out these types of relationships.

Trends in the market: One of the main trends in the casual dating market in Uganda is the rise of online dating platforms. These platforms provide a convenient and accessible way for individuals to connect with potential partners. With the increasing penetration of smartphones and internet access in the country, more Ugandans are turning to these platforms to meet new people and explore casual relationships. Additionally, the anonymity and convenience of online dating appeals to many individuals who may feel more comfortable engaging in casual dating through digital means.

Local special circumstances: Uganda has a relatively young population, with a large percentage of the population being under the age of 30. This demographic is more open to new experiences and is more likely to engage in casual dating compared to older generations. Additionally, Uganda has a vibrant nightlife scene, with many bars and clubs catering to the casual dating market. These venues provide a social and relaxed environment for individuals to meet and connect with potential partners.

Underlying macroeconomic factors: Uganda has experienced steady economic growth in recent years, leading to an increase in disposable income for many individuals. This has allowed people to spend more on leisure activities, including casual dating. Additionally, the growth of the middle class in Uganda has contributed to the rise of the casual dating market, as individuals have more financial stability and are more open to exploring new experiences. In conclusion, the casual dating market in Uganda is developing due to changing societal norms, increased exposure to Western culture, and a desire for personal exploration. Online dating platforms, a young population, vibrant nightlife scene, and economic growth are all contributing factors to the growth of this market. As Uganda continues to develop and modernize, it is likely that the casual dating market will continue to expand.

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.