Matchmaking - Zimbabwe

Zimbabwe

Highlights

Revenue in the Matchmaking market is projected to reach US$13.09k in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 225.90%, resulting in a projected market volume of US$1.48m by 2028.
In the Matchmaking market, the number of users is expected to amount to 40.6k 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$0.31.
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 Zimbabwe has been experiencing significant growth in recent years.

Customer preferences: Customers in Zimbabwe are increasingly turning to matchmaking services to find romantic partners. This is driven by several factors, including the convenience and efficiency of online matchmaking platforms. These platforms allow users to create profiles, search for potential matches, and communicate with them, all from the comfort of their own homes. Additionally, matchmaking services often use algorithms and data analysis to match individuals based on compatibility, which can increase the likelihood of finding a suitable partner.

Trends in the market: One trend in the Zimbabwean matchmaking market is the growing popularity of niche matchmaking services. These services cater to specific demographics or interests, such as religious or ethnic groups, professionals, or individuals with specific hobbies or lifestyles. By focusing on a specific niche, these services can provide more tailored matches and attract a dedicated customer base. Another trend is the increasing use of mobile matchmaking apps. As smartphone penetration continues to rise in Zimbabwe, more people have access to mobile apps, making it easier for them to connect with potential partners on the go. Mobile apps also offer features such as location-based matching, which can help users find matches in their local area.

Local special circumstances: Zimbabwe has a relatively young population, with a significant portion of the population being of marriageable age. This creates a large potential customer base for matchmaking services, as many individuals are actively seeking romantic partners. Additionally, Zimbabwe has a high rate of urbanization, with a growing number of people moving to cities for work or education. This can make it more challenging for individuals to meet potential partners through traditional means, such as social events or introductions by friends and family, leading them to turn to matchmaking services.

Underlying macroeconomic factors: Zimbabwe has experienced economic challenges in recent years, including high unemployment rates and limited job opportunities. This can impact the dating and marriage market, as individuals may prioritize financial stability and security when looking for a partner. Matchmaking services that cater to professionals or individuals with higher incomes may be particularly appealing in this context. Overall, the matchmaking market in Zimbabwe is growing due to customer preferences for convenient and efficient ways to find romantic partners. The rise of niche matchmaking services and mobile apps reflects the evolving needs and preferences of Zimbabwean consumers. The country's young population and high urbanization rate also contribute to the demand for matchmaking services. Additionally, macroeconomic factors such as high unemployment rates may influence the types of matchmaking services that are in demand.

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.