Hotels - Bulgaria

  • Bulgaria
  • By 2024, the projected revenue in Bulgaria's Hotels market is expected to amount to US$515.00m.
  • Looking ahead, this market is expected to grow annually at a rate of 3.75% (CAGR 2024-2029), leading to a projected market volume of US$619.20m by 2029.
  • Additionally, the number of users in this market is expected to reach 2.75m users by 2029.
  • In terms of user penetration, the figure is expected to rise from 34.8% in 2024 to 43.2% by 2029.
  • The average revenue per user (ARPU) is projected to be US$223.40.
  • By 2029, online sales are expected to account for 86% of total revenue in the Hotels market.
  • It is important to note that, in global comparison, United States is expected to generate the most revenue in this market, with a projected revenue of US$110,600m in 2024.
  • Bulgaria's hotel market is seeing an increase in demand for eco-friendly accommodations, with many hotels implementing sustainable practices to attract environmentally conscious travelers.

Key regions: Vietnam, Indonesia, United Kingdom, Malaysia, Saudi Arabia

 
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Analyst Opinion

Over the past few years, the Hotels market in Bulgaria has seen significant growth and development.

Customer preferences:
Tourists visiting Bulgaria are increasingly looking for unique and authentic experiences, leading to a rise in demand for boutique hotels and eco-friendly accommodations. Many travelers also prioritize convenience and value for money, driving the popularity of all-inclusive resorts and budget-friendly hotel options.

Trends in the market:
One notable trend in the Bulgarian Hotels market is the increasing use of technology to enhance the guest experience. From online booking platforms to mobile check-in services, hotels in Bulgaria are embracing digital solutions to streamline operations and cater to the tech-savvy preferences of modern travelers. Additionally, there is a growing focus on wellness tourism, with many hotels offering spa services, yoga classes, and healthy dining options to attract health-conscious guests.

Local special circumstances:
Bulgaria's unique geographical location and diverse natural landscapes play a significant role in shaping the Hotels market. Coastal resorts along the Black Sea are popular destinations for sun-seekers, while mountainous regions like Bansko attract winter sports enthusiasts. This diversity allows hoteliers to cater to a wide range of travelers throughout the year, capitalizing on Bulgaria's rich cultural heritage and natural beauty.

Underlying macroeconomic factors:
The Hotels market in Bulgaria is also influenced by macroeconomic factors such as government policies, infrastructure development, and exchange rates. Investments in tourism infrastructure, such as transportation networks and tourist attractions, contribute to the overall growth of the market. Additionally, fluctuations in currency exchange rates can impact tourism demand and hotel revenues, highlighting the importance of economic stability for the hospitality industry in Bulgaria.

Methodology

Data coverage:

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

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
  • Hotel Star Rating
  • Methodology
  • Key Market Indicators
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