Market Insights eCommerce Dating Services

Matchmaking - Burundi

Burundi

Revenue in the Matchmaking market is projected to reach US$0.50m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 0.79%, resulting in a projected market volume of US$0.52m by 2029.
In the Matchmaking market, the number of users is expected to amount to 27.8k users by 2029.
User penetration will be 0.2% in 2024 and is expected to hit 0.2% by 2029.
The average revenue per user (ARPU) is expected to amount to US$17.00.
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 Burundi is experiencing steady growth due to changing customer preferences and trends in the market. Customer preferences in Burundi have shifted towards more casual and non-committal relationships, leading to an increased demand for casual dating services. This can be attributed to various factors, such as a growing acceptance of casual relationships in society, changing attitudes towards marriage and commitment, and an increasing desire for personal freedom and independence. As a result, more individuals are seeking out casual dating opportunities to explore their options and meet like-minded individuals. Trends in the market indicate a growing popularity of online dating platforms and apps in Burundi. These platforms provide a convenient and accessible way for individuals to connect with potential partners, offering a wide range of options and personalized matchmaking algorithms. The ease of use and ability to connect with others from the comfort of one's own home has contributed to the rise of online casual dating in Burundi. Additionally, the COVID-19 pandemic has further accelerated the adoption of online dating, as people turned to virtual platforms to meet and interact with others during periods of lockdown and social distancing. Local special circumstances in Burundi, such as a relatively young population and a high level of smartphone penetration, have also contributed to the growth of the casual dating market. With a large percentage of the population being young adults, there is a higher demand for casual dating services among this demographic. Furthermore, the widespread use of smartphones and access to the internet has made it easier for individuals to engage in casual dating activities, as they can easily download dating apps and connect with potential partners on-the-go. Underlying macroeconomic factors, such as economic growth and increasing urbanization, have created a conducive environment for the casual dating market to thrive in Burundi. As the country's economy continues to develop and more people migrate to urban areas, there is a greater pool of potential users for casual dating services. Urban areas tend to have a larger population density and a more diverse range of individuals, increasing the chances of finding compatible partners. Additionally, economic growth has led to higher disposable incomes, allowing individuals to spend more on leisure activities, including casual dating. In conclusion, the Casual Dating market in Burundi is experiencing growth due to changing customer preferences, the popularity of online dating platforms, local special circumstances, and underlying macroeconomic factors. As these trends continue to evolve, the market is expected to expand further, providing opportunities for both local and international players in the industry.

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.