Travel & Tourism - Nepal

  • Nepal
  • The projected revenue of the Travel & Tourism market in Nepal is estimated to reach US$444.80m by 2024, with an expected annual growth rate (CAGR 2024-2029) of 9.06%.
  • This growth is expected to result in a projected market volume of US$686.40m by 2029.
  • The largest market in this market is the Package Holidays, with a projected market volume of US$203.60m in 2024.
  • By 2029, the number of users in Package Holidays is expected to amount to 3,169.00k users.
  • In 2024, the user penetration rate is 11.3%, which is expected to increase to 16.3% by 2029.
  • The average revenue per user (ARPU) is expected to amount to US$125.80.
  • Online sales are projected to generate 65% of the total revenue in the Travel & Tourism market by 2029.
  • It is worth noting that in global comparison, United States is expected to generate the most revenue in this market, with a projected revenue of US$214bn in 2024.
  • Nepal's Travel & Tourism sector is experiencing a shift towards sustainable tourism, with an emphasis on ecotourism and community-based tourism initiatives.

Key regions: Malaysia, Europe, Singapore, Vietnam, United States

 
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Analyst Opinion

Nepal, known for its majestic mountains and rich cultural heritage, has been experiencing a notable growth in its Travel & Tourism market.

Customer preferences:
Travelers visiting Nepal are increasingly seeking authentic and immersive experiences, such as trekking in the Himalayas, exploring ancient temples, and participating in local festivals. The demand for sustainable and eco-friendly tourism practices is also on the rise, with tourists showing a preference for responsible travel options.

Trends in the market:
One of the key trends shaping the Travel & Tourism market in Nepal is the growing popularity of adventure tourism. Activities like mountaineering, white-water rafting, and paragliding are attracting thrill-seekers from around the globe. Additionally, the country's focus on promoting cultural tourism has led to an increase in heritage tours and homestay experiences.

Local special circumstances:
Nepal's unique geography, which includes eight of the world's ten highest peaks, positions it as a prime destination for adventure enthusiasts and nature lovers. The country's diverse ethnic communities and vibrant traditions also add to its appeal, offering tourists a chance to immerse themselves in a rich tapestry of cultures.

Underlying macroeconomic factors:
The political stability and improved infrastructure in Nepal have played a significant role in driving the growth of the Travel & Tourism market. Government initiatives to promote tourism, such as easing visa regulations and investing in hospitality services, have helped attract a larger number of international visitors. Additionally, the increasing connectivity through air travel and the presence of a skilled workforce in the tourism industry have further boosted the sector's development.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and sales channels of hotels, vacation rentals, cruises, package holidays, and camping.

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
  • Travel Behavior
  • Global Comparison
  • Methodology
  • Key Market Indicators
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