Matchmaking - Pakistan

Pakistan

Highlights

Revenue in the Matchmaking market is projected to reach US$11.94m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 0.64%, resulting in a projected market volume of US$12.32m by 2029.
In the Matchmaking market, the number of users is expected to amount to 2.2m users by 2029.
User penetration will be 0.6% in 2024 and is expected to hit 0.8% by 2029.
The average revenue per user (ARPU) is expected to amount to US$8.56.
In global comparison, most revenue will be generated China (US$1.21bn in 2024).
With a projected rate of 3.8%, the user penetration in the Matchmaking market is highest South Korea.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Casual Dating market in Pakistan is experiencing significant growth due to changing customer preferences and local special circumstances.

Customer preferences: In recent years, there has been a shift in customer preferences towards more casual and non-committal relationships. This can be attributed to several factors, including changing societal norms, increased exposure to Western culture through media and the internet, and a desire for more freedom and independence. As a result, there is a growing demand for casual dating platforms and services in Pakistan.

Trends in the market: One of the key trends in the Casual Dating market in Pakistan is the rise of online dating platforms. These platforms provide a convenient and discreet way for individuals to meet and connect with potential partners. With the increasing use of smartphones and internet access, more and more people are turning to these platforms to find casual dates. This trend is expected to continue as the younger generation becomes more tech-savvy and open to new ways of meeting people. Another trend in the market is the growing acceptance of casual dating among the younger population. While traditional dating and arranged marriages still play a significant role in Pakistani society, there is a growing acceptance of casual dating among the younger generation. This can be attributed to increased exposure to Western culture, globalization, and a desire for personal freedom and autonomy. As a result, there is a growing market for casual dating services and platforms in Pakistan.

Local special circumstances: Pakistan is a conservative country with strong cultural and religious traditions. However, there are certain factors that make the Casual Dating market unique in this context. For example, the large youth population in Pakistan, with a significant percentage of the population under the age of 30, is driving the demand for casual dating services. Additionally, the urbanization and increasing number of young professionals in major cities like Karachi, Lahore, and Islamabad are creating a conducive environment for casual dating.

Underlying macroeconomic factors: The growing Casual Dating market in Pakistan can also be attributed to underlying macroeconomic factors. Pakistan has experienced rapid economic growth in recent years, leading to an increase in disposable income and a higher standard of living for many individuals. This has resulted in a greater willingness to spend on leisure activities, including casual dating. Furthermore, the increasing number of women entering the workforce and gaining financial independence has also contributed to the growth of the market, as more women are seeking casual dating opportunities. In conclusion, the Casual Dating market in Pakistan is developing due to changing customer preferences, the rise of online dating platforms, the growing acceptance of casual dating among the younger population, local special circumstances, and underlying macroeconomic factors. As the market continues to evolve, it is expected to present new opportunities for businesses in the casual dating industry.

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.