Package Holidays - Nepal

  • Nepal
  • The Package Holidays market in Nepal is projected to see a significant increase in revenue, with estimates suggesting that it will reach US$203.60m in 2024.
  • The market is expected to grow at an annual rate of 10.01% between 2024 and 2029, resulting in a projected market volume of US$328.00m by 2029.
  • By 2029, the number of users in this market is expected to reach 1.23m users.
  • In 2024, the user penetration rate is projected to be 2.8%, which is forecasted to increase to 3.7% by 2029.
  • The projected average revenue per user (ARPU) is US$232.50.
  • Furthermore, it is anticipated that 66% of the total revenue generated in this market will be through online sales by 2029.
  • Comparatively, China is expected to generate the most revenue, with estimates suggesting that it will amount to US$49,250m in 2024.
  • Nepal's package holiday market is seeing a rise in demand for eco-tourism and adventure activities.

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

 
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Analyst Opinion

The Package Holidays market in Nepal is experiencing a notable growth trajectory, driven by various factors that cater to the evolving preferences of travelers in the region.

Customer preferences:
Travelers in Nepal are increasingly seeking convenience and hassle-free experiences when planning their holidays, leading to a rising demand for package holidays. The all-inclusive nature of package holidays, which typically include accommodation, transportation, meals, and activities, appeals to customers looking for a seamless and stress-free vacation. Additionally, the opportunity to explore multiple destinations within a single trip is a key factor driving the popularity of package holidays among Nepalese travelers.

Trends in the market:
One prominent trend in the Package Holidays market in Nepal is the customization options offered by tour operators and travel agencies. Customers are now able to personalize their package holidays to align with their specific interests and preferences, whether it be adventure activities, cultural experiences, or wellness retreats. This trend not only enhances the overall customer experience but also caters to the growing demand for unique and tailored travel experiences in Nepal.

Local special circumstances:
Nepal's unique geography and rich cultural heritage make it a compelling destination for package holidays. The country's diverse landscapes, including the Himalayas, lush forests, and serene lakes, offer a wide range of activities for travelers to enjoy. Moreover, Nepal's vibrant cultural scene, with its ancient temples, monasteries, and festivals, provides a rich tapestry for tourists to explore during their package holidays. These special circumstances contribute to the attractiveness of Nepal as a package holiday destination.

Underlying macroeconomic factors:
The Package Holidays market in Nepal is also influenced by macroeconomic factors such as increasing disposable income levels and improving infrastructure. As disposable incomes rise, more Nepalese consumers have the financial means to invest in travel experiences, including package holidays. Furthermore, ongoing developments in transportation and accommodation infrastructure across the country have made travel more accessible and convenient, further fueling the growth of the package holidays market in Nepal.

Methodology

Data coverage:

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

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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