Dating Services - Norway

Norway

Revenue in the Dating Services market is projected to reach €21.10m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 2.21%, resulting in a projected market volume of €23.03m by 2028.
The Matchmaking market has a projected market volume of €14.93m 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 €26.08 in 2024.
In the Dating Services market, the number of users is expected to amount to 892.0k users by 2028.
User penetration in the Dating Services market will be at 14.4% in 2024.

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

Marché

Région

Comparaison de régions

Monnaie

Analyst Opinion

The Dating Services market in Norway is experiencing significant growth and development, driven by changing customer preferences and local special circumstances.

Customer preferences: Norwegian consumers are increasingly turning to online dating services as a convenient and efficient way to meet potential partners. The popularity of dating apps and websites has soared in recent years, as they offer a wide range of options and allow users to connect with people from different backgrounds and locations. Additionally, the younger generation in Norway is more open to the idea of finding love online, contributing to the growth of the market.

Trends in the market: One of the key trends in the Dating Services market in Norway is the rise of niche dating platforms. These platforms cater to specific demographics or interests, such as religious affiliations, hobbies, or lifestyle choices. By targeting niche markets, dating services can provide a more tailored and personalized experience for users, increasing their chances of finding compatible matches. This trend reflects the growing demand for specialized services in the dating industry. Another trend in the market is the integration of artificial intelligence (AI) and machine learning (ML) technologies. Dating platforms are using these technologies to analyze user data and behavior, providing more accurate and relevant matches. AI and ML algorithms can also help identify and prevent fraudulent activities, ensuring a safer and more trustworthy environment for users. This trend highlights the importance of technology in improving the overall user experience and driving the growth of the market.

Local special circumstances: Norway has a relatively small population compared to other countries, which creates a unique dating landscape. With a smaller pool of potential partners, online dating services play a crucial role in expanding the dating options for Norwegian singles. The convenience and accessibility of these services make it easier for individuals to connect with others outside of their immediate social circles, increasing their chances of finding compatible matches. Furthermore, Norway is known for its high gender equality and progressive attitudes towards relationships. This cultural context fosters an environment where individuals feel empowered to explore different dating options and seek out meaningful connections. The openness and acceptance of diverse relationship styles contribute to the growth of the Dating Services market in Norway.

Underlying macroeconomic factors: The strong economy in Norway has also contributed to the growth of the Dating Services market. With higher disposable incomes, individuals are more willing to invest in dating services to enhance their social lives and increase their chances of finding a compatible partner. The stability and prosperity of the Norwegian economy provide a favorable environment for the growth of the market. In conclusion, the Dating Services market in Norway is experiencing growth and development due to changing customer preferences, the rise of niche platforms, the integration of AI and ML technologies, local special circumstances such as a smaller population and progressive attitudes towards relationships, and underlying macroeconomic factors such as a strong economy. As the market continues to evolve, it is expected to offer more personalized and innovative solutions to meet the diverse needs of Norwegian singles.

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.