Online Dating - BRICS

BRICS

Highlights

Revenue in the Online Dating market is projected to reach US$451.00m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 0.43%, resulting in a projected market volume of US$460.80m by 2029.
In the Online Dating market, the number of users is expected to amount to 0.00 by 2029.
User penetration will be 0.00 in 2024 and is expected to hit 0.00 by 2029.
The average revenue per user (ARPU) is expected to amount to 0.00.
In global comparison, most revenue will be generated United States (US$1.39bn in 2024).
With a projected rate of 0.0, the user penetration in the Online Dating market is highest 0.0.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Matchmaking market in BRICS is experiencing significant growth and development. Customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors are all contributing to the expansion of this industry. Customer preferences in the Matchmaking market in BRICS are evolving. People are increasingly turning to online platforms and mobile applications to find their perfect match. This shift towards digital matchmaking is driven by the convenience and accessibility it offers. Online platforms provide a wide range of options and allow individuals to connect with potential partners from different regions and backgrounds. Additionally, the younger generation in BRICS countries is more open to the idea of online dating and matchmaking, further fueling the growth of this market. Trends in the Matchmaking market in BRICS are also shaping its development. One prominent trend is the rise of niche matchmaking services. These platforms cater to specific demographics or interests, such as religious or cultural preferences, professional backgrounds, or hobbies. By targeting specific segments of the population, niche matchmaking services are able to provide more personalized and tailored experiences, attracting a loyal customer base. Another trend in the market is the integration of advanced technologies. Artificial intelligence and machine learning algorithms are being used to improve the matchmaking process. These technologies analyze user data and preferences to suggest compatible matches, increasing the chances of finding a successful match. Additionally, virtual reality and augmented reality are being utilized to enhance the user experience, allowing individuals to virtually interact with potential partners before meeting in person. Local special circumstances also play a role in the development of the Matchmaking market in BRICS. Cultural norms and traditions influence the way people approach dating and relationships. In some BRICS countries, arranged marriages are still prevalent, leading to the demand for matchmaking services that cater to this specific need. Additionally, social and economic factors, such as urbanization and changing gender roles, are impacting the dynamics of dating and relationships, further driving the growth of the matchmaking industry. Underlying macroeconomic factors are also contributing to the expansion of the Matchmaking market in BRICS. Rising disposable incomes and an expanding middle class are enabling more individuals to afford matchmaking services. As people become more financially independent, they are willing to invest in finding a compatible partner. Additionally, urbanization and migration trends within BRICS countries are creating a larger pool of potential matches, further driving the demand for matchmaking services. In conclusion, the Matchmaking market in BRICS is experiencing significant growth and development due to evolving customer preferences, emerging trends in the market, local special circumstances, and underlying macroeconomic factors. The shift towards online platforms, the rise of niche matchmaking services, the integration of advanced technologies, and cultural norms are all contributing to the expansion of this industry. The increasing disposable incomes, expanding middle class, urbanization, and migration within BRICS countries are also driving the demand for matchmaking services.

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.