Market Insights Digital eServices Dating Services

Matchmaking - Sweden

Sweden

Revenue in the Matchmaking market is projected to reach €15.91m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 1.25%, resulting in a projected market volume of €16.72m by 2028.
In the Matchmaking market, the number of users is expected to amount to 146.5k users by 2028.
User penetration will be 1.3% in 2024 and is expected to hit 1.4% by 2028.
The average revenue per user (ARPU) is expected to amount to €115.20.
In global comparison, most revenue will be generated in China (€1,111.00m 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

Marché

Région

Comparaison de régions

Monnaie

Analyst Opinion

The Matchmaking market in Sweden has been steadily growing in recent years, driven by changing customer preferences and the increasing popularity of online dating platforms. Customer preferences in the Matchmaking market in Sweden have shifted towards online platforms, as more and more people are turning to the internet to find their perfect match. This trend is driven by the convenience and accessibility of online dating, which allows individuals to connect with potential partners from the comfort of their own homes. Additionally, the rise of social media and smartphone usage has made it easier for people to meet and interact with others online, further fueling the demand for online matchmaking services. In terms of trends, the Matchmaking market in Sweden has seen a rise in niche dating platforms catering to specific demographics or interests. This includes platforms for individuals with specific religious beliefs, hobbies, or lifestyles. These niche platforms offer a more targeted approach to matchmaking, allowing individuals to find partners who share their values and interests. This trend reflects the growing demand for personalized and specialized matchmaking services, as individuals seek more meaningful connections. Furthermore, the Matchmaking market in Sweden has also witnessed an increase in the use of artificial intelligence (AI) and machine learning algorithms in matchmaking services. These technologies are used to analyze user data and preferences, and provide more accurate and relevant matches. By leveraging AI and machine learning, matchmaking platforms are able to offer more personalized and tailored recommendations, increasing the chances of finding a compatible partner. Local special circumstances in Sweden also contribute to the development of the Matchmaking market. Sweden has a relatively small population compared to other countries, which can make it more challenging for individuals to find compatible partners. This has led to a higher demand for matchmaking services, both online and offline, as people seek assistance in finding suitable matches. Underlying macroeconomic factors such as high internet penetration and disposable income levels also contribute to the growth of the Matchmaking market in Sweden. The country has one of the highest internet penetration rates in the world, making it easier for individuals to access online matchmaking services. Additionally, Sweden has a high standard of living and a strong economy, which allows individuals to allocate a portion of their disposable income towards matchmaking services. In conclusion, the Matchmaking market in Sweden is developing due to changing customer preferences, including a shift towards online platforms and the rise of niche dating services. The use of AI and machine learning algorithms in matchmaking services is also a key trend in the market. Local special circumstances, such as a relatively small population and high demand for personalized matchmaking, further contribute to the growth of the market. Underlying macroeconomic factors, such as high internet penetration and disposable income levels, also play a role in the development of the market.

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.