Dating Services

Malaysia

Highlights

Revenue in the Dating Services market is projected to reach US$18.14m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 1.44%, resulting in a projected market volume of US$19.48m by 2029.
The Matchmaking market has a projected market volume of US$11.75m in 2024.
In global comparison, most revenue will be generated United States (US$2.55bn in 2024).
The average revenue per user (ARPU) in the Dating Services market is projected to amount to US$10.51 in 2024.
In the Dating Services market, the number of users is expected to amount to 1.8m users by 2029.
User penetration in the Dating Services market will be at 5.0% in 2024.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Dating Services market in Malaysia is experiencing significant growth due to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors.

Customer preferences: In recent years, there has been a shift in customer preferences towards online dating platforms and mobile applications. This trend can be attributed to the convenience and accessibility offered by these platforms, allowing individuals to connect with potential partners from the comfort of their own homes. Moreover, the younger generation, who are more tech-savvy, are increasingly turning to online dating as a way to meet new people and explore romantic relationships.

Trends in the market: One of the key trends in the Dating Services market in Malaysia is the rise of niche dating platforms catering to specific interests or demographics. These platforms provide a more targeted approach to matchmaking, allowing individuals to find like-minded partners with shared hobbies, interests, or cultural backgrounds. This trend reflects the growing demand for personalized and tailored dating experiences, as individuals seek to find meaningful connections with others who share their values and passions. Another trend in the market is the integration of artificial intelligence (AI) and machine learning (ML) technologies into dating platforms. These technologies are being used to enhance the matchmaking process by analyzing user data, preferences, and behaviors to provide more accurate and compatible matches. By leveraging AI and ML, dating platforms are able to offer a more personalized and efficient dating experience, increasing the chances of successful matches and long-term relationships.

Local special circumstances: In Malaysia, cultural and religious factors play a significant role in shaping the dating landscape. The majority of Malaysians practice Islam, which places certain restrictions and guidelines on dating and relationships. As a result, there is a growing demand for dating services that cater to the needs and preferences of the Muslim community. These specialized platforms provide a safe and halal environment for individuals to meet and connect with potential partners, while adhering to Islamic principles and values.

Underlying macroeconomic factors: The strong economic growth and rising disposable incomes in Malaysia have contributed to the growth of the Dating Services market. As individuals become more financially independent, they are more willing to invest in dating services to enhance their chances of finding a compatible partner. Additionally, the increasing urbanization and changing lifestyles in Malaysia have led to a greater emphasis on individualism and personal fulfillment, driving the demand for dating services. In conclusion, the Dating Services market in Malaysia is experiencing growth due to changing customer preferences towards online platforms, emerging trends such as niche dating and AI integration, local special circumstances related to cultural and religious factors, and underlying macroeconomic factors such as economic growth and urbanization. As the market continues to evolve, it is expected that dating services will become more personalized, technologically advanced, and culturally sensitive to meet the diverse needs and preferences of Malaysian individuals.

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.