Market Insights Digital eServices Dating Services

Online Dating - Singapore

Singapore

Revenue in the Online Dating market is projected to reach €4.02m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 1.99%, resulting in a projected market volume of €4.35m by 2028.
In the Online Dating market, the number of users is expected to amount to 331.4k users by 2028.
User penetration will be 5.3% in 2024 and is expected to hit 5.3% by 2028.
The average revenue per user (ARPU) is expected to amount to €12.58.
In global comparison, most revenue will be generated in the United States (€1,273.00m in 2024).
With a projected rate of 17.9%, the user penetration in the Online Dating market is highest in the United States.

Key regions: United States, China, Japan, Europe, Germany

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Analyst Opinion

The Online Dating market in Singapore has witnessed significant growth in recent years, driven by changing customer preferences and a growing acceptance of online dating as a mainstream way to meet potential partners.

Customer preferences: Singaporeans are increasingly turning to online dating platforms to find love and companionship. This shift in customer preferences can be attributed to several factors. Firstly, the convenience and accessibility offered by online dating platforms have made it easier for individuals to connect with others who share similar interests and values. Additionally, the anonymity provided by these platforms allows users to explore potential matches without the fear of judgment or rejection.

Trends in the market: One of the key trends in the Singaporean online dating market is the rise of niche dating platforms catering to specific demographics or interests. These platforms offer a more targeted approach to matchmaking, allowing users to find like-minded individuals who share their hobbies, beliefs, or cultural background. This trend reflects a growing demand for personalized and tailored dating experiences. Another trend in the market is the integration of artificial intelligence (AI) and machine learning algorithms into online dating platforms. These technologies enable platforms to analyze user data and behavior patterns to provide more accurate and relevant match suggestions. By leveraging AI, online dating platforms in Singapore are able to enhance the user experience and increase the likelihood of successful matches.

Local special circumstances: Singapore's unique cultural and social landscape also plays a role in shaping the online dating market. As a multicultural society, Singapore is home to a diverse population with varying dating preferences and expectations. Online dating platforms in Singapore have adapted to this diversity by offering features and services that cater to different ethnicities, religions, and cultural backgrounds. This inclusivity has contributed to the growth of the online dating market in Singapore.

Underlying macroeconomic factors: The strong economic growth and high internet penetration rate in Singapore have also contributed to the development of the online dating market. As a prosperous and technologically advanced city-state, Singapore provides a conducive environment for the growth of online dating platforms. The availability of high-speed internet and the widespread use of smartphones have made online dating more accessible to a larger segment of the population. In conclusion, the Online Dating market in Singapore is experiencing significant growth due to changing customer preferences, the rise of niche dating platforms, the integration of AI technologies, and Singapore's unique cultural and social landscape. These trends, combined with the underlying macroeconomic factors, have created a favorable environment for the development of the online dating industry in Singapore.

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.