Matchmaking - Mauritius

Mauritius

Highlights

Revenue in the Matchmaking market is projected to reach US$352.50k in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 1.68%, resulting in a projected market volume of US$376.90k by 2028.
In the Matchmaking market, the number of users is expected to amount to 11.6k users by 2028.
User penetration will be 0.8% in 2024 and is expected to hit 0.9% by 2028.
The average revenue per user (ARPU) is expected to amount to US$33.28.
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 Mauritius is experiencing significant growth and development. Customer preferences in this market are shifting towards online platforms and mobile applications, leading to the emergence of new trends. Additionally, there are local special circumstances and underlying macroeconomic factors that contribute to the growth of the matchmaking market in Mauritius.

Customer preferences: In Mauritius, customers are increasingly turning to online platforms and mobile applications for matchmaking services. This shift in preference can be attributed to the convenience and accessibility offered by these digital platforms. With just a few clicks, individuals can create profiles, browse through potential matches, and connect with others who share similar interests and values. The ease of use and wide range of options available on these platforms have made them popular among the younger generation in particular.

Trends in the market: One of the key trends in the matchmaking market in Mauritius is the rise of niche dating platforms. These platforms cater to specific demographics or interests, allowing individuals to find like-minded partners. For example, there are platforms specifically designed for professionals, seniors, or individuals with specific religious or cultural backgrounds. This trend reflects the growing demand for personalized matchmaking services that cater to specific needs and preferences. Another trend in the market is the integration of artificial intelligence (AI) and machine learning technologies. These technologies are being used to analyze user data and preferences, making matchmaking algorithms more accurate and efficient. By leveraging AI, matchmaking platforms can provide more relevant and compatible matches, increasing the chances of successful connections. This trend is driven by the desire to enhance the overall user experience and improve the success rate of matchmaking services.

Local special circumstances: Mauritius is a multicultural society with a diverse population. This diversity has created a demand for matchmaking services that cater to specific cultural and religious preferences. Local matchmaking platforms have emerged to address this demand, providing individuals with the opportunity to connect with others who share similar backgrounds and beliefs. These platforms offer features that allow users to filter potential matches based on criteria such as religion, ethnicity, or language, ensuring compatibility and cultural compatibility.

Underlying macroeconomic factors: The growth of the matchmaking market in Mauritius can be attributed to several underlying macroeconomic factors. Firstly, the country's expanding middle class and increasing disposable income have contributed to the rising demand for matchmaking services. As individuals become more financially stable, they are willing to invest in finding compatible partners through professional matchmaking services. Furthermore, the growing internet penetration rate and smartphone adoption in Mauritius have created a conducive environment for the development of the matchmaking market. With more people having access to the internet and smartphones, the reach and impact of online matchmaking platforms have significantly increased. This has led to a larger pool of potential users and a higher likelihood of successful matches. In conclusion, the matchmaking market in Mauritius is experiencing growth and development due to shifting customer preferences towards online platforms and mobile applications. Niche dating platforms and the integration of AI and machine learning technologies are among the key trends in the market. Local special circumstances, such as the multicultural nature of the society, and underlying macroeconomic factors, including the expanding middle class and increasing internet penetration, also contribute to the growth of the matchmaking market in Mauritius.

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.