Matchmaking - Denmark

Denmark

Highlights

Revenue in the Matchmaking market is projected to reach US$9.69m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 2.64%, resulting in a projected market volume of US$10.75m by 2028.
In the Matchmaking market, the number of users is expected to amount to 91.9k users by 2028.
User penetration will be 1.5% in 2024 and is expected to hit 1.5% by 2028.
The average revenue per user (ARPU) is expected to amount to US$112.60.
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 Denmark has seen significant growth in recent years, driven by changing customer preferences and the rise of online dating platforms. Customer preferences have shifted towards more convenient and efficient ways of finding romantic partners, leading to the popularity of online matchmaking services. These platforms offer a wide range of features and tools that allow users to search for and connect with potential partners based on their preferences and compatibility. The ease of use and accessibility of these platforms have made them a preferred choice for many Danish singles. Another factor contributing to the growth of the matchmaking market in Denmark is the increasing acceptance and normalization of online dating. In the past, there was a stigma associated with meeting someone online, but this perception has changed over time. More and more people are now open to the idea of using online matchmaking services to find love, which has expanded the customer base for these platforms. In addition to online matchmaking services, there has also been a rise in the popularity of offline matchmaking events and activities in Denmark. These events provide an opportunity for singles to meet and interact in a more traditional and social setting. They often include activities such as speed dating, group outings, and themed parties, which create a fun and relaxed environment for singles to connect. The Danish market has its own unique characteristics and preferences that influence the trends in the matchmaking industry. Danish culture values equality, openness, and a casual approach to relationships. This is reflected in the preferences of Danish singles, who often prioritize compatibility, shared values, and a relaxed and informal dating experience. The strong economy and high standard of living in Denmark also play a role in the growth of the matchmaking market. With a high disposable income and a focus on work-life balance, many Danish singles are willing to invest in matchmaking services to save time and increase their chances of finding a compatible partner. Overall, the matchmaking market in Denmark is driven by changing customer preferences, increased acceptance of online dating, and the unique characteristics of Danish culture. The combination of online and offline matchmaking services, along with the strong economy, creates a favorable environment for the growth of the industry.

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.