Hotels - Nepal

  • Nepal
  • The projected revenue of Nepal's Hotels market is expected to reach US$171.00m by 2024.
  • The revenue is expected to display a Compound Annual Growth Rate (CAGR 2024-2028) of 5.16%, which will lead to a projected market volume of US$209.10m by 2028.
  • The number of users in the Hotels market is estimated to be 2.18m users by 2028.
  • The user penetration in 2024 is at 5.8% and is expected to increase to 6.7% by 2028.
  • The Average Revenue Per User (ARPU) is projected to reach US$94.73.
  • By 2028, online sales are expected to contribute 68% of the total revenue in the country's Hotels market sector.
  • In comparison to other countries, United States is expected to generate the highest revenue of US$110,500m in 2024.
  • Hotels in Nepal are increasingly focusing on sustainable and eco-friendly practices to attract socially conscious travelers.

Key regions: Singapore, Indonesia, India, United States, Europe

 
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Analyst Opinion

Amidst the breathtaking landscapes and rich cultural heritage of Nepal, the Hotels market in the country has been experiencing significant developments.

Customer preferences:
Travelers in Nepal are increasingly seeking unique and authentic experiences, leading to a rise in demand for boutique hotels and eco-friendly accommodations. Tourists are also showing a preference for hotels that offer adventure activities and opportunities to immerse themselves in the local culture.

Trends in the market:
One noticeable trend in the Hotels market in Nepal is the growing popularity of homestays and guesthouses, particularly in rural areas and trekking routes. This trend is driven by a desire for more personalized and intimate accommodation options, as well as a growing interest in sustainable tourism practices. Additionally, the emergence of budget-friendly hotel chains and online booking platforms has made it easier for travelers to find affordable accommodation options across the country.

Local special circumstances:
Nepal's unique geography, which includes the majestic Himalayas and diverse wildlife, presents both opportunities and challenges for the Hotels market. Hotels located in popular trekking destinations such as the Annapurna Circuit and Everest Base Camp attract adventure enthusiasts from around the world. However, the country's remote locations and underdeveloped infrastructure can make it difficult for hoteliers to provide high-quality services and amenities.

Underlying macroeconomic factors:
The Hotels market in Nepal is influenced by various macroeconomic factors, including government policies, infrastructure development, and global economic trends. The country's efforts to promote tourism through initiatives such as Visit Nepal Year have helped attract more visitors to the country, boosting the demand for hotel accommodations. Additionally, improvements in transportation infrastructure and connectivity have made it easier for tourists to explore different regions of Nepal, driving the growth of the Hotels market.

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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