Matchmaking - Lebanon

  • Lebanon
  • Revenue in the Matchmaking market is projected to reach US$0.75m in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 0.00%, resulting in a projected market volume of US$0.75m by 2028.
  • In the Matchmaking market, the number of users is expected to amount to 43.0k users by 2028.
  • User penetration will be 0.7% in 2024 and is expected to hit 0.7% by 2028.
  • The average revenue per user (ARPU) is expected to amount to US$17.17.
  • 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.

Key regions: India, South Korea, China, Asia, United States

 
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Analyst Opinion

The Matchmaking market in Lebanon is experiencing significant growth and development in recent years. Customer preferences have shifted towards online platforms and mobile applications, leading to the emergence of new trends in the market. Local special circumstances and underlying macroeconomic factors have also played a role in shaping the current landscape of the matchmaking industry in Lebanon.

Customer preferences:
In Lebanon, there has been a notable shift in customer preferences towards online matchmaking platforms. This can be attributed to the convenience and accessibility offered by these platforms, allowing individuals to connect with potential partners from the comfort of their own homes. The rise of smartphones and the increasing penetration of internet connectivity have further fueled the demand for mobile applications that facilitate matchmaking. Additionally, customers now prioritize compatibility and shared values over traditional factors such as social status or family connections when seeking a partner.

Trends in the market:
One of the key trends in the matchmaking market in Lebanon is the growing popularity of niche dating platforms. These platforms cater to specific demographics or interests, such as religious or cultural affiliations, professional backgrounds, or shared hobbies. This trend reflects the desire of individuals to find partners who share similar values and interests, thereby increasing the chances of a successful and fulfilling relationship. Another trend is the integration of artificial intelligence (AI) and machine learning algorithms in matchmaking platforms. These technologies analyze user data and preferences to provide more accurate and personalized matches. AI algorithms can take into account factors such as personality traits, relationship goals, and compatibility, leading to higher success rates and customer satisfaction.

Local special circumstances:
Lebanon's unique cultural and religious diversity has had an impact on the matchmaking market. The country is home to various religious and ethnic communities, each with its own traditions and values when it comes to relationships and marriage. This has led to the development of specialized matchmaking services that cater to specific communities, ensuring compatibility and cultural understanding. Furthermore, Lebanon's relatively small population and close-knit social circles have made it challenging for individuals to meet potential partners organically. This has contributed to the growing demand for matchmaking services, both online and offline, as a means to expand one's social network and find compatible partners.

Underlying macroeconomic factors:
Lebanon's economic challenges have also influenced the matchmaking market. The country has faced political instability and economic downturns in recent years, leading to high unemployment rates and financial uncertainty for many individuals. In such circumstances, finding a compatible partner who can provide emotional support and stability becomes even more important. This has contributed to the increased demand for matchmaking services as individuals seek companionship and stability in their personal lives. In conclusion, the matchmaking market in Lebanon is experiencing growth and development driven by customer preferences for online platforms and mobile applications. Niche dating platforms and the integration of AI and machine learning algorithms are among the key trends in the market. Lebanon's cultural diversity, small population, and economic challenges have also shaped the local matchmaking industry. As the market continues to evolve, it is expected that matchmaking services will play an increasingly important role in helping individuals find compatible partners in Lebanon.

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.

Overview

  • Revenue
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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