Matchmaking - Luxembourg

Luxembourg

Highlights

Revenue in the Matchmaking market is projected to reach US$794.00k in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 1.43%, resulting in a projected market volume of US$840.40k by 2028.
In the Matchmaking market, the number of users is expected to amount to 8.1k users by 2028.
User penetration will be 1.2% in 2024 and is expected to hit 1.2% by 2028.
The average revenue per user (ARPU) is expected to amount to US$103.30.
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 Luxembourg is experiencing steady growth due to changing customer preferences and the emergence of new trends in the market. Customer preferences in the Matchmaking market have shifted towards online platforms and mobile applications, as individuals seek convenience and accessibility in finding potential partners. This preference for digital platforms is not unique to Luxembourg, but is a global trend that has gained momentum in recent years. The ease of use and wide range of options offered by online matchmaking services have made them increasingly popular among individuals of all ages and backgrounds. In addition to online platforms, there is also a growing demand for personalized matchmaking services in Luxembourg. Many individuals are willing to pay a premium for a more tailored and exclusive matchmaking experience. This trend can be attributed to the desire for a more personalized approach to finding a partner, as well as the belief that professional matchmakers have a better understanding of individual needs and preferences. The Matchmaking market in Luxembourg is also influenced by local special circumstances. Luxembourg is a small country with a high concentration of expatriates and international professionals. This diverse population creates a unique demand for matchmaking services that cater to specific cultural backgrounds and preferences. Matchmaking agencies in Luxembourg often specialize in connecting individuals from different nationalities and providing a platform for cross-cultural relationships. Underlying macroeconomic factors also play a role in the development of the Matchmaking market in Luxembourg. The country has a high per capita income and a strong economy, which allows individuals to invest in matchmaking services. Additionally, Luxembourg has a high level of internet penetration and smartphone usage, which provides a favorable environment for the growth of online matchmaking platforms. In conclusion, the Matchmaking market in Luxembourg is growing due to changing customer preferences, the emergence of new trends, local special circumstances, and underlying macroeconomic factors. The shift towards online platforms, the demand for personalized matchmaking services, the diverse population in Luxembourg, and the country's strong economy and high level of internet penetration all contribute to the development of the market.

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.