Package Holidays - Oman

  • Oman
  • By 2024, the revenue in Oman's Package Holidays market is projected to reach US$163.10m.
  • Furthermore, it is expected to exhibit an annual growth rate (CAGR 2024-2028) of 6.86%, resulting in a projected market volume of US$212.70m by 2028.
  • In the same market, the number of users is expected to increase and amount to 409.50k users by 2028.
  • In 2024, the user penetration is foreseen to be 7.3%, which is expected to rise to 8.2% by 2028.
  • The average revenue per user (ARPU) is expected to reach US$0.47k.
  • It is projected that 97% of the total revenue in the Package Holidays market will be generated through online sales by 2028.
  • In global comparison, China is expected to generate the most revenue in this market, with US$59,860m in 2024.
  • Oman's package holiday market is thriving due to its beautiful beaches, rich cultural heritage, and hospitality.

Key regions: United Kingdom, India, Indonesia, Germany, Malaysia

 
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Analyst Opinion

The Package Holidays market in Oman has been experiencing significant growth and development in recent years.

Customer preferences:
Customers in Oman are increasingly seeking convenience and hassle-free travel experiences, which has led to a rising demand for package holidays. These all-inclusive offerings provide a one-stop solution for travelers, allowing them to book their accommodations, flights, meals, and activities in a single package. This trend aligns with global preferences where travelers are looking for seamless and stress-free vacation options.

Trends in the market:
In Oman, there has been a noticeable shift towards experiential travel, with travelers showing a preference for curated experiences that showcase the country's rich culture, heritage, and natural beauty. Package holidays that offer unique cultural immersions, outdoor adventures, and authentic local cuisine are gaining popularity among both domestic and international tourists. This trend is driving tour operators and travel agencies to design specialized packages that cater to these evolving preferences.

Local special circumstances:
Oman's diverse landscape, which includes stunning coastlines, desert dunes, and rugged mountains, presents a unique opportunity for the development of niche package holidays. Travelers are increasingly interested in exploring off-the-beaten-path destinations and engaging in sustainable tourism practices. This has prompted the emergence of eco-friendly and adventure-focused package holidays in Oman, allowing visitors to connect with nature and support local communities.

Underlying macroeconomic factors:
The growing focus on tourism as a key pillar of Oman's economic diversification strategy has contributed to the expansion of the package holidays market. Government initiatives to promote the tourism sector, improve infrastructure, and enhance visitor experiences have created a conducive environment for the development of diverse holiday packages. Additionally, the increasing disposable income among Oman's population has made travel more accessible, leading to a higher demand for packaged holiday offerings.

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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