Hotels - Brazil

  • Brazil
  • Brazil is projected to see a revenue of US$8.74bn in the Hotels market by 2024.
  • The revenue is expected to show an annual growth rate (CAGR 2024-2029) of 3.62%, resulting in a projected market volume of US$10.44bn by 2029.
  • By 2029, the number of users is expected to amount to 43.64m users in the Hotels market.
  • The user penetration is projected to increase from 16.8% in 2024 to 19.6% by 2029.
  • The average revenue per user (ARPU) is expected to be US$238.50.
  • Moreover, 82% of total revenue is expected to be generated through online sales by 2029.
  • It is noteworthy that United States is projected to generate the most revenue in the Hotels market in 2024, with a value of US$110,600m.
  • Brazil's hotel industry is experiencing a rise in demand due to the country's growing tourism industry.

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

 
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Analyst Opinion

The Hotels market in Brazil has been experiencing significant growth and development in recent years.

Customer preferences:
Customers in Brazil are increasingly seeking unique and authentic experiences when choosing hotels. They are looking for accommodations that offer local cultural immersion, eco-friendly practices, and personalized services. This shift in preferences has led to the rise of boutique hotels and eco-resorts in the country, catering to the demand for more experiential stays.

Trends in the market:
One notable trend in the Brazilian Hotels market is the increasing popularity of luxury and high-end accommodations. As the country's economy continues to grow, there is a rising segment of affluent travelers looking for upscale hotel options with premium amenities and services. This trend has prompted many international hotel chains to expand their presence in major cities like Rio de Janeiro and São Paulo.

Local special circumstances:
Brazil's diverse geographical landscape and rich cultural heritage make it a unique destination for travelers. The country's vast coastline, Amazon rainforest, and vibrant cities offer a wide range of experiences for tourists. This diversity has influenced the development of various types of hotels, from beach resorts to jungle lodges, to cater to different traveler preferences.

Underlying macroeconomic factors:
The improving economic conditions in Brazil have had a positive impact on the Hotels market. With a growing middle class and increasing disposable income, more Brazilians are choosing to travel domestically, boosting the demand for accommodations across the country. Additionally, the government's efforts to promote tourism and improve infrastructure have attracted more international visitors, further driving the growth of the hotel industry in Brazil.

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
  • User Demographics
  • Global Comparison
  • Hotel Star Rating
  • Methodology
  • Key Market Indicators
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