Matchmaking - Republic of the Congo

Republic of the Congo

Highlights

Revenue in the Matchmaking market is projected to reach US$418.80k in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 1.85%, resulting in a projected market volume of US$450.70k by 2028.
In the Matchmaking market, the number of users is expected to amount to 16.4k users by 2028.
User penetration will be 0.3% in 2024 and is expected to hit 0.2% by 2028.
The average revenue per user (ARPU) is expected to amount to US$25.10.
In global comparison, most revenue will be generated China (US$1.21bn in 2024).
With a projected rate of 3.8%, the user penetration in the Matchmaking market is highest South Korea.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Matchmaking market in Republic of the Congo is experiencing significant growth and development. Customer preferences in the Matchmaking market in Republic of the Congo are shifting towards online platforms and mobile applications. This is driven by the increasing penetration of smartphones and internet access in the country. Customers are now more inclined to use convenient and efficient digital platforms to find potential partners. Additionally, there is a growing acceptance and openness towards online dating among the younger population in Republic of the Congo. Trends in the Matchmaking market in Republic of the Congo indicate a rise in the number of niche dating platforms catering to specific interests and demographics. This trend is a result of the increasing demand for personalized matchmaking services. Niche platforms allow individuals to connect with like-minded individuals who share similar interests, hobbies, or cultural backgrounds. This trend is also observed globally, as customers seek more targeted and tailored matchmaking experiences. Local special circumstances in the Matchmaking market in Republic of the Congo include cultural and social factors that influence dating preferences. Traditional values and customs still play a significant role in the dating scene, particularly in rural areas. Matchmaking services in Republic of the Congo need to be mindful of these cultural nuances and adapt their offerings accordingly. Additionally, the relatively low internet penetration rate in certain regions may pose challenges for online matchmaking platforms. Offline matchmaking services, such as matchmakers or agencies, may still be preferred in these areas. Underlying macroeconomic factors contribute to the development of the Matchmaking market in Republic of the Congo. The country's improving economic conditions and rising disposable incomes have led to an increase in spending on leisure activities, including dating and matchmaking services. As individuals have more financial resources, they are willing to invest in finding compatible partners. Furthermore, the growing urbanization and changing social dynamics in Republic of the Congo have resulted in a larger pool of potential customers for matchmaking services. In conclusion, the Matchmaking market in Republic of the Congo is evolving to meet the changing preferences and needs of customers. The shift towards online platforms, the rise of niche dating platforms, cultural factors, and macroeconomic conditions all contribute to the growth and development of the market. As the market continues to expand, there will be opportunities for both local and international players to innovate and capture a larger share of the market.

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.