Package Holidays - Bulgaria

  • Bulgaria
  • The Package Holidays market in Bulgaria is predicted to generate US$0.63bn in revenue by 2024.
  • This market is estimated to have an annual growth rate of 7.14%, which would result in a market volume of US$0.83bn by 2028.
  • The number of users for this market is projected to reach 1.05m users by 2028, with a user penetration of 14.0% in 2024 and an expected increase to 16.5% by 2028.
  • The average revenue per user (ARPU) is expected to be US$0.68k.
  • Additionally, 74% of the total revenue in this market is expected to be generated through online sales by 2028.
  • It is noteworthy that China is expected to generate the most revenue in this market, with US$59,860m in 2024 when compared globally.
  • Bulgaria's package holiday market is experiencing a rise in popularity due to its affordable prices and stunning Black Sea coast.

Key regions: United Kingdom, India, Indonesia, Germany, Malaysia

 
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Analyst Opinion

The Package Holidays market in Bulgaria has been experiencing significant growth and transformation in recent years.

Customer preferences:
Customers in Bulgaria are increasingly seeking convenience and value for money when it comes to holiday planning. The all-inclusive nature of package holidays, which often include flights, accommodation, meals, and activities, appeals to Bulgarian travelers looking for hassle-free and budget-friendly vacation options. The ease of booking and the assurance of a well-organized trip are key factors driving the demand for package holidays in the country.

Trends in the market:
One notable trend in the Bulgarian Package Holidays market is the diversification of destinations offered by tour operators. While traditional beach destinations like the Black Sea coast remain popular, there is a growing interest in cultural tours, city breaks, and adventure holidays among Bulgarian travelers. Tour operators are expanding their offerings to cater to these evolving preferences, providing a wider range of experiences to attract different segments of the market.

Local special circumstances:
Bulgaria's unique geographical location and diverse landscape contribute to the appeal of package holidays in the country. From the sandy beaches along the Black Sea to the picturesque mountains and historical towns, Bulgaria offers a variety of attractions for tourists. The affordability of travel within the country also makes it an attractive destination for both domestic and international travelers seeking a mix of relaxation and exploration.

Underlying macroeconomic factors:
The growth of the Package Holidays market in Bulgaria is also influenced by macroeconomic factors such as rising disposable incomes and changing consumer behavior. As more Bulgarians have higher purchasing power and seek memorable travel experiences, the demand for package holidays is expected to continue to increase. Additionally, the government's efforts to promote tourism and improve infrastructure have helped boost the tourism sector, further supporting the development of the package holidays market in Bulgaria.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and sales channels of package holidays.

Modeling approach:

Market sizes are determined through a bottom-up approach, building on a specific rationale for each market. As a basis for evaluating markets, we use financial reports, the Global Consumer Survey, third-party studies and reports, data from industry associations (e.g., UNWTO), and price data of major players in respective markets. To estimate the number of users and bookings, we furthermore use data from the Statista Consumer Insigths Global survey. In addition, we use relevant key market indicators and data from country-specific associations, such as country-related GDP, demographic data (e.g., population), tourism spending, consumer spending, internet penetration, and device penetration. 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, ARIMA, which allows time series forecasts, accounting for stationarity of data and enabling short-term estimates. Additionally, simple linear regression, Holt-Winters forecast, and exponential trend smoothing methods are applied. A k-means cluster analysis allows for the estimation of similar countries. The main drivers are tourism GDP per capita and respective price indices.

Additional notes:

The data is modeled using current exchange rates. The market is updated twice a year in case market dynamics change.

Overview

  • Revenue
  • Sales Channels
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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