Matchmaking - Malta

Malta

Highlights

Revenue in the Matchmaking market is projected to reach US$418.90k in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 2.88%, resulting in a projected market volume of US$469.30k by 2028.
In the Matchmaking market, the number of users is expected to amount to 5.2k users by 2028.
User penetration will be 1.1% in 2024 and is expected to hit 1.2% by 2028.
The average revenue per user (ARPU) is expected to amount to US$87.80.
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 Malta is experiencing steady growth due to changing customer preferences and the increasing popularity of online dating platforms.

Customer preferences: Customers in Malta are increasingly turning to online matchmaking services to find their perfect match. This shift in preference can be attributed to several factors. Firstly, the convenience and accessibility of online platforms make it easier for individuals to connect with potential partners. Online matchmaking services offer a wide range of features such as personalized profiles, advanced search filters, and messaging options, allowing users to find compatible matches based on their preferences. Additionally, the anonymity provided by online platforms appeals to individuals who may be hesitant to approach potential partners in person.

Trends in the market: One of the key trends in the matchmaking market in Malta is the rise of niche dating platforms. These platforms cater to specific groups of individuals, such as professionals, seniors, or individuals with specific interests or hobbies. By targeting niche markets, these platforms are able to provide a more tailored 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 services. These technologies analyze user data and behavior to provide more accurate and relevant match suggestions. By leveraging AI and machine learning, matchmaking platforms are able to improve the quality of matches and enhance the overall user experience.

Local special circumstances: Malta's small population size and close-knit community contribute to the development of the matchmaking market. In a small country like Malta, individuals may have limited opportunities to meet new people, especially those outside their immediate social circles. Online matchmaking services provide a solution to this challenge by expanding the pool of potential partners beyond traditional social networks. Furthermore, Malta's strong tourism industry also influences the matchmaking market. The influx of tourists from around the world creates opportunities for individuals to connect with people from different backgrounds and cultures. Matchmaking services that cater to international users or offer features such as language translation can capitalize on this trend and attract a diverse user base.

Underlying macroeconomic factors: The growing popularity of the matchmaking market in Malta can also be attributed to underlying macroeconomic factors. Malta has experienced steady economic growth in recent years, leading to an increase in disposable income and a higher standard of living. As a result, individuals may be more willing to invest in matchmaking services as they have the financial means to do so. Additionally, the rise of digitalization and the increasing penetration of smartphones and internet access have made online matchmaking services more accessible to a larger segment of the population. In conclusion, the matchmaking market in Malta is developing due to changing customer preferences, the rise of online platforms, and the integration of advanced technologies. The small population size and the strong tourism industry in Malta also contribute to the growth of the market. Furthermore, underlying macroeconomic factors such as economic growth and increased digitalization have made matchmaking services more accessible to a larger segment of the population.

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.