Dating Services - Sweden

Sweden

Revenue in the Dating Services market is projected to reach €36.19m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 1.25%, resulting in a projected market volume of €38.03m by 2028.
The Matchmaking market has a projected market volume of €16.07m in 2024.
In global comparison, most revenue will be generated in the United States (€2,362.00m in 2024).
The average revenue per user (ARPU) in the Dating Services market is projected to amount to €25.72 in 2024.
In the Dating Services market, the number of users is expected to amount to 1.6m users by 2028.
User penetration in the Dating Services market will be at 13.6% in 2024.

Key regions: Europe, India, Brazil, Asia, Germany

Mercado

Región

Comparación de regiones

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Analyst Opinion

The Dating Services market in Sweden is experiencing significant growth due to changing customer preferences and the increasing popularity of online dating platforms.

Customer preferences: Swedish consumers are increasingly turning to online dating platforms to meet new people and find potential partners. This shift in customer preferences can be attributed to the convenience and efficiency of online dating, as well as the wider range of options available compared to traditional dating methods. Additionally, the younger generation in Sweden is more open to the idea of online dating and is actively using these platforms to connect with others.

Trends in the market: One of the key trends in the Swedish Dating Services market is the rise of niche dating platforms. These platforms cater to specific interests or demographics, allowing users to find like-minded individuals. This trend reflects the growing demand for personalized and targeted dating experiences. Niche dating platforms also provide an opportunity for users to connect with others who share their hobbies or values, leading to more meaningful connections. Another trend in the market is the integration of artificial intelligence (AI) and machine learning (ML) technologies in dating platforms. These technologies are used to analyze user data and preferences, providing more accurate and relevant matches. AI and ML algorithms can also help improve the overall user experience by suggesting conversation starters or providing personalized recommendations. This trend is driven by the desire to enhance the efficiency and effectiveness of online dating platforms.

Local special circumstances: Sweden has a high level of internet penetration and smartphone usage, which has contributed to the growth of the online dating market. The country also has a progressive and open-minded culture, which makes it more receptive to online dating compared to some other countries. Additionally, the Swedish population is relatively small, which makes it easier for dating platforms to cater to the local market and provide localized features and services.

Underlying macroeconomic factors: The strong economy and high disposable income in Sweden have also played a role in the growth of the Dating Services market. Consumers are more willing to spend money on dating services and subscriptions, leading to increased revenue for dating platforms. The high level of gender equality in Sweden has also contributed to the growth of the market, as both men and women are actively participating in online dating. In conclusion, the Dating Services market in Sweden is experiencing growth due to changing customer preferences, the rise of niche dating platforms, the integration of AI and ML technologies, and the country's special circumstances such as high internet penetration and progressive culture. The strong economy and high disposable income in Sweden also contribute to the growth of the market. As the popularity of online dating continues to increase, the market is expected to further expand in the coming years.

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.