Matchmaking - Tunisia

Tunisia

Highlights

Revenue in the Matchmaking market is projected to reach US$2.27m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of -47.21%, resulting in a projected market volume of US$176.70k by 2028.
In the Matchmaking market, the number of users is expected to amount to 65.9k users by 2028.
User penetration will be 0.5% in 2024 and is expected to hit 0.5% by 2028.
The average revenue per user (ARPU) is expected to amount to US$36.98.
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 Tunisia has been experiencing significant growth in recent years, driven by changing customer preferences, emerging trends, and local special circumstances.

Customer preferences: In Tunisia, there is a growing demand for matchmaking services as more individuals are looking for meaningful connections and long-term relationships. With the rise of technology and social media, people are increasingly turning to online platforms and mobile applications to meet potential partners. This shift in customer preferences has led to the proliferation of matchmaking services in the country, catering to a wide range of demographics and interests.

Trends in the market: One of the key trends in the matchmaking market in Tunisia is the increasing popularity of niche dating platforms. These platforms cater to specific interests or demographics, such as religious or cultural affiliations, hobbies, or professions. This trend reflects the desire of individuals to find partners who share similar values, beliefs, and interests. Niche dating platforms provide a more targeted and personalized matchmaking experience, increasing the chances of finding a compatible match. Another trend in the market is the integration of artificial intelligence (AI) and machine learning algorithms in matchmaking algorithms. These technologies analyze user data, preferences, and behavior to provide more accurate and personalized matchmaking recommendations. AI-powered matchmaking platforms can also learn and adapt based on user feedback, improving their matchmaking capabilities over time. This trend is driven by the need to enhance the efficiency and effectiveness of matchmaking services, ultimately leading to higher customer satisfaction.

Local special circumstances: Tunisia has a unique cultural and social landscape that influences the matchmaking market. The country has a diverse population with various religious and cultural backgrounds, which can impact the preferences and expectations of individuals seeking a partner. Matchmaking services in Tunisia often take into account these cultural and religious factors to provide more tailored and relevant matches. Additionally, the conservative nature of Tunisian society may lead some individuals to prefer the privacy and discretion offered by matchmaking services, rather than more traditional methods of finding a partner.

Underlying macroeconomic factors: The development of the matchmaking market in Tunisia is also influenced by underlying macroeconomic factors. The country has been experiencing economic growth and an expanding middle class, which has led to increased disposable income and a higher willingness to spend on leisure activities, including matchmaking services. Additionally, the high rate of internet and smartphone penetration in Tunisia has made online matchmaking platforms more accessible and convenient for a larger portion of the population. In conclusion, the matchmaking market in Tunisia is growing due to changing customer preferences, emerging trends such as niche dating platforms and AI-powered matchmaking algorithms, and local special circumstances such as cultural and religious factors. The underlying macroeconomic factors of economic growth and increased internet and smartphone penetration also contribute to the development of the market. As the market continues to evolve, matchmaking services in Tunisia will likely continue to adapt and innovate to meet the changing needs and expectations of their customers.

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.