Market Insights eCommerce Dating Services

Matchmaking - Ghana

Ghana

Revenue in the Matchmaking market is projected to reach US$2.19m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 0.09%, resulting in a projected market volume of US$2.20m by 2029.
In the Matchmaking market, the number of users is expected to amount to 131.1k users by 2029.
User penetration will be 0.3% in 2024 and is expected to hit 0.3% by 2029.
The average revenue per user (ARPU) is expected to amount to US$18.29.
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 Ghana has been experiencing significant growth in recent years, driven by changing customer preferences and the increasing popularity of online dating platforms. Customer preferences in the Casual Dating market in Ghana have shifted towards more casual and non-committal relationships. This is evident in the growing demand for platforms that cater specifically to casual dating, where individuals can connect with others who are looking for similar experiences. The convenience and anonymity offered by online dating platforms have also contributed to this shift in preferences, as they provide a platform for individuals to explore their desires without the fear of judgment or commitment. In addition to changing customer preferences, there are several trends in the Casual Dating market in Ghana that are driving its development. One trend is the increasing use of mobile dating apps, which allow individuals to connect with potential partners on the go. This trend is particularly prevalent among younger generations who are more tech-savvy and rely heavily on their smartphones for social interactions. Another trend in the market is the rise of niche dating platforms that cater to specific interests or communities. This includes platforms for individuals with specific sexual preferences or interests, as well as platforms for individuals from specific ethnic or cultural backgrounds. These niche platforms provide a more targeted and personalized experience for users, increasing their chances of finding compatible partners. Local special circumstances in Ghana have also contributed to the growth of the Casual Dating market. Ghana has a relatively young population, with a large percentage of its population under the age of 30. This demographic is more open to casual relationships and is more likely to embrace online dating platforms as a means of meeting new people. Underlying macroeconomic factors, such as increasing internet penetration and smartphone adoption rates, have also played a role in the development of the Casual Dating market in Ghana. As more individuals gain access to the internet and smartphones, the potential customer base for online dating platforms expands, driving growth in the market. Overall, the Casual Dating market in Ghana is developing due to changing customer preferences, the increasing popularity of online dating platforms, and the influence of local special circumstances and underlying macroeconomic factors. As these trends continue to evolve, it is expected that the market will continue to grow and evolve to meet the needs and desires of its customers.

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.