The Matchmaking market in Bulgaria has been experiencing steady growth in recent years, driven by several factors such as changing customer preferences, emerging trends in the market, and local special circumstances. Customer preferences in the Matchmaking market have shifted towards online platforms and mobile applications. This is in line with global trends, as more people are turning to digital platforms to find potential partners. The convenience and accessibility of online matchmaking services have attracted a larger customer base, especially among the younger generation who are tech-savvy and prefer to use their smartphones for various activities, including finding romantic partners. Trends in the market also indicate a growing demand for personalized and niche matchmaking services. Customers are seeking platforms that cater to specific interests, backgrounds, or lifestyles, as they believe it increases the chances of finding a compatible partner. This trend is driven by the desire for more targeted matchmaking experiences and a higher likelihood of long-term relationship success. Matchmaking companies are responding to this demand by offering specialized services that cater to specific demographics, such as professionals, seniors, or individuals with specific religious or cultural backgrounds. Local special circumstances in Bulgaria have also contributed to the development of the Matchmaking market. The country has a relatively small population compared to other European countries, which can make it challenging for individuals to find compatible partners through traditional methods. This has created a demand for matchmaking services that can help individuals overcome geographical and social barriers to find potential partners. Additionally, Bulgaria has a high rate of emigration, with many young people leaving the country in search of better opportunities abroad. This has led to an increased interest in international matchmaking services, as individuals seek partners who share their desire for a global lifestyle or who are willing to relocate. Underlying macroeconomic factors have also played a role in the growth of the Matchmaking market in Bulgaria. The country has experienced steady economic growth in recent years, which has increased disposable income and consumer spending power. This has allowed more individuals to invest in matchmaking services, as they see it as a worthwhile investment in their personal lives. Additionally, the rise of the gig economy and flexible work arrangements has created a more mobile and transient workforce, leading to an increased demand for matchmaking services that can cater to individuals with unconventional lifestyles or schedules. Overall, the Matchmaking market in Bulgaria is developing in response to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. The shift towards online platforms, the demand for personalized services, the unique circumstances of the local market, and the economic climate are all contributing to the growth and evolution of the 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.
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