Vacation Rentals - Nepal

  • Nepal
  • Nepal is expected to witness a significant boost in the Vacation Rentals market, with revenue projected to reach US$83.00m in 2024.
  • By 2029, the market is expected to expand even further, with a projected market volume of US$124.90m, showing an annual growth rate (CAGR 2024-2029) of 8.52%.
  • The number of users in this market is expected to reach 3.17m users by 2029.
  • In 2024, the user penetration rate is expected to be 6.6%, which is projected to rise to 9.7% by 2029.
  • The average revenue per user (ARPU) is expected to be US$40.39.
  • By 2029, 60% of the total revenue in the Vacation Rentals market is expected to be generated through online sales.
  • Globally, United States is expected to generate the highest revenue in this market, with a projected revenue of US$20,270m in 2024.
  • Despite being a relatively new concept in Nepal, vacation rentals are gaining popularity due to the country's rich natural beauty and cultural heritage.

Key regions: India, Vietnam, Saudi Arabia, Singapore, Germany

 
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Analyst Opinion

The Vacation Rentals market in Nepal has shown significant growth and development in recent years.

Customer preferences:
Travelers in Nepal are increasingly looking for unique and authentic experiences, driving the demand for vacation rentals over traditional hotel stays. The desire to immerse in local culture and explore off-the-beaten-path locations has led to a surge in bookings for vacation rental properties across the country.

Trends in the market:
One notable trend in the Nepalese Vacation Rentals market is the rise of eco-friendly and sustainable accommodations. Travelers are actively seeking properties that prioritize environmental conservation and support local communities. This trend aligns with the global shift towards responsible tourism and has influenced the development of eco-lodges and nature retreats in Nepal.

Local special circumstances:
Nepal's diverse topography and rich cultural heritage make it a prime destination for adventure seekers and cultural enthusiasts alike. This unique selling point has contributed to the growth of vacation rentals, as tourists seek accommodations that offer proximity to natural wonders such as the Himalayas, national parks, and ancient temples. Additionally, the warm hospitality of the Nepalese people has enhanced the overall guest experience, making vacation rentals a popular choice for travelers.

Underlying macroeconomic factors:
The increasing accessibility of Nepal as a travel destination, coupled with government initiatives to promote tourism, has played a crucial role in the expansion of the Vacation Rentals market. Improved infrastructure, such as roads and transportation networks, has made it easier for tourists to explore different regions of the country, leading to a higher demand for vacation rental properties. Additionally, the growing middle-class population in nearby countries has created a steady influx of international visitors looking for unique accommodation options in Nepal.

Methodology

Data coverage:

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

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
  • Methodology
  • Key Market Indicators
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