Hotels - Myanmar

  • Myanmar
  • Myanmar is expected to witness a significant growth in the Hotels market, with revenue projected to reach US$287.90m by 2024.
  • The market is expected to grow at an annual rate of 7.51%, resulting in a market volume of US$413.50m by 2029.
  • By 2029, the number of users in the Hotels market is expected to reach 3.30m users.
  • The user penetration rate is expected to increase from 4.9% in 2024 to 5.8% by 2029.
  • The average revenue per user (ARPU) is estimated to be US$107.70.
  • Online sales are expected to generate 73% of the total revenue in the Hotels market by 2029.
  • It is interesting to note that in global comparison, United States is expected to generate the most revenue in the Hotels market, with a projected revenue of US$110,600m in 2024.
  • Myanmar's hotel industry is experiencing a rise in demand, fueled by the country's growing tourism sector and increasing foreign investment.

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

 
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Analyst Opinion

Myanmar's Hotels market is experiencing a significant growth trajectory, driven by various factors influencing consumer behavior and market dynamics.

Customer preferences:
Travelers in Myanmar are increasingly seeking unique and authentic experiences, leading to a rise in demand for boutique hotels and eco-friendly accommodations. This shift in consumer preferences is reshaping the market landscape, with a growing number of hotels focusing on sustainability practices and cultural immersion to attract visitors.

Trends in the market:
One notable trend in Myanmar's Hotels market is the increasing investment in luxury hotels and resorts, particularly in popular tourist destinations such as Bagan and Inle Lake. This trend is driven by the country's growing reputation as a must-visit destination in Southeast Asia, attracting high-end travelers looking for premium accommodation options.

Local special circumstances:
Myanmar's unique cultural heritage and rich history play a significant role in shaping the Hotels market. Many hotels in the country are repurposed colonial buildings or traditional teak houses, offering guests a glimpse into Myanmar's past while providing modern amenities and services. This blend of old-world charm and contemporary comfort sets Myanmar's hotel offerings apart from other markets in the region.

Underlying macroeconomic factors:
The gradual opening up of Myanmar's economy and the government's efforts to promote tourism have contributed to the growth of the Hotels market. As the country continues to attract foreign investment and improve infrastructure, the hospitality sector is expected to benefit from increased tourist arrivals and business travel. Additionally, the rise of digital platforms and online booking services has made it easier for travelers to discover and book accommodations in Myanmar, further fueling the market's expansion.

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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