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Mon - Fri, 9am - 5pm (SGT)
Mon - Fri, 10:00am - 6:00pm (JST)
Mon - Fri, 9:30am - 5pm (GMT)
Mon - Fri, 9am - 6pm (EST)
Key regions: India, South Korea, China, Asia, United States
The Matchmaking market in Vietnam has been experiencing significant growth in recent years, driven by changing customer preferences and the increasing popularity of online dating platforms. Customer preferences in Vietnam have shifted towards more convenient and efficient ways of finding a partner. Traditional methods of matchmaking, such as arranged marriages or introductions through family and friends, are becoming less common. Instead, many Vietnamese individuals are turning to online dating platforms and matchmaking services to connect with potential partners. These platforms offer a wider pool of potential matches and allow individuals to browse profiles and communicate with others at their own convenience. One of the key trends in the matchmaking market in Vietnam is the rise of online dating platforms. With the increasing penetration of smartphones and internet access, more and more Vietnamese people are using dating apps and websites to find love. These platforms offer a convenient and efficient way to meet new people and are especially popular among younger generations who are more tech-savvy. Another trend in the market is the growing acceptance of online dating and matchmaking services in Vietnamese society. In the past, there was a stigma attached to finding a partner online, but this perception is changing. As more people have successful experiences with online dating, the social acceptance of these platforms is increasing. This trend is expected to further fuel the growth of the matchmaking market in Vietnam. Local special circumstances in Vietnam also contribute to the development of the matchmaking market. Vietnamese society places a strong emphasis on family and marriage, and finding a suitable partner is considered an important life goal. However, the fast-paced modern lifestyle and the increasing urbanization in Vietnam have made it more challenging for individuals to meet potential partners through traditional methods. This has created a demand for matchmaking services that can help individuals navigate the dating scene and find compatible partners. Underlying macroeconomic factors also play a role in the growth of the matchmaking market in Vietnam. The country has experienced rapid economic growth in recent years, leading to an expanding middle class with higher disposable incomes. As people become more financially independent, they are more likely to invest in finding a partner and are willing to pay for matchmaking services. In conclusion, the matchmaking market in Vietnam is experiencing growth due to changing customer preferences, the rise of online dating platforms, increasing social acceptance, local special circumstances, and underlying macroeconomic factors. As the market continues to evolve, there will be opportunities for both local and international matchmaking companies to cater to the growing demand for convenient and efficient ways of finding love in Vietnam.
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.Mon - Fri, 9am - 6pm (EST)
Mon - Fri, 9am - 5pm (SGT)
Mon - Fri, 10:00am - 6:00pm (JST)
Mon - Fri, 9:30am - 5pm (GMT)
Mon - Fri, 9am - 6pm (EST)