Matchmaking - Belgium

Belgium

Highlights

Revenue in the Matchmaking market is projected to reach US$14.45m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 2.60%, resulting in a projected market volume of US$16.43m by 2029.
In the Matchmaking market, the number of users is expected to amount to 197.3k users by 2029.
User penetration will be 1.5% in 2024 and is expected to hit 1.7% by 2029.
The average revenue per user (ARPU) is expected to amount to US$82.26.
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.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Casual Dating market in Belgium is experiencing steady growth due to changing customer preferences and the increasing popularity of online dating platforms.

Customer preferences: Belgian consumers are increasingly turning to casual dating as a way to meet new people and explore romantic relationships without the commitment of a traditional partnership. This shift in preferences can be attributed to several factors. Firstly, the younger generation in Belgium is more open-minded and less inclined to conform to traditional societal norms regarding relationships. They are seeking more freedom and flexibility in their romantic lives, which casual dating provides. Additionally, the busy lifestyles of many Belgians, particularly in urban areas, make it difficult to invest time and energy into a committed relationship. Casual dating offers a convenient and efficient way to meet and connect with potential partners.

Trends in the market: The casual dating market in Belgium is primarily driven by the increasing use of online dating platforms. These platforms provide a convenient and accessible way for individuals to connect with others who share similar interests and desires. The popularity of dating apps and websites has soared in recent years, with a wide range of options available to cater to different preferences and demographics. This trend is expected to continue as more Belgians embrace the convenience and efficiency of online dating.

Local special circumstances: Belgium's relatively small size and dense population make it an ideal market for casual dating. The close proximity of potential partners and the ease of travel within the country facilitate in-person meetups and casual encounters. Additionally, Belgium's cosmopolitan cities, such as Brussels and Antwerp, attract a diverse population of locals and expatriates, creating a vibrant dating scene.

Underlying macroeconomic factors: Belgium's stable economy and high standard of living contribute to the growth of the casual dating market. With disposable incomes on the rise, Belgians have more financial resources to invest in socializing and leisure activities, including casual dating. Furthermore, the country's well-developed infrastructure and widespread internet access make it easy for individuals to connect with potential partners online. The increasing acceptance and normalization of casual dating in Belgian society also play a role in the market's development. In conclusion, the Casual Dating market in Belgium is experiencing growth due to changing customer preferences, the increasing popularity of online dating platforms, local special circumstances, and underlying macroeconomic factors. The convenience and efficiency of casual dating, coupled with Belgium's cosmopolitan cities and stable economy, make it an attractive market for individuals seeking casual relationships.

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.