Package Holidays - Iran

Iran

Highlights

It is estimated that the Package Holidays market in Iran will experience a significant increase in revenue, with a projected revenue of US$1.35bn in 2024.
Moreover, the market is expected to grow annually at a rate of 18.78% between 2024 and 2029, which would result in a total market volume of US$3.20bn by 2029.
The number of users in the Package Holidays market is also expected to increase to 6.59m users by 2029, with user penetration projected to increase from 5.6% in 2024 to 7.1% by 2029.
The average revenue per user (ARPU) is forecasted to be US$267.80.
Additionally, it is predicted that 85% of the total revenue generated by the Package Holidays market in Iran will come from online sales by 2029.
It is noteworthy that in a global comparison, the country with the highest revenue generation in the Package Holidays market is China, with a projected revenue of US$49bn in 2024.
Iran's package holiday market is steadily growing, with a focus on cultural and historical tours.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Package Holidays market in Iran has been experiencing a notable growth in recent years, with an increasing number of travelers opting for pre-arranged holiday packages rather than planning individual trips.

Customer preferences: Iranian travelers are showing a growing interest in package holidays due to the convenience and cost-effectiveness they offer. With busy lifestyles, many customers prefer the ease of booking a comprehensive holiday package that includes accommodation, transportation, meals, and activities. Moreover, package holidays often come with added perks such as guided tours and local insights, enhancing the overall travel experience for customers.

Trends in the market: One of the prominent trends in the Package Holidays market in Iran is the rise of domestic package tours. As more Iranians seek to explore their own country, domestic tour operators have been developing enticing holiday packages to popular destinations within Iran. This trend is driven by a desire to discover the rich cultural heritage and natural beauty of Iran, coupled with a growing sense of national pride.

Local special circumstances: Iran's unique cultural attractions and diverse landscapes make it an appealing destination for both domestic and international travelers. The country boasts a rich history, stunning architecture, and picturesque scenery, offering a wide range of experiences for tourists. Additionally, Iran's warm hospitality and delicious cuisine contribute to its popularity as a travel destination.

Underlying macroeconomic factors: The growth of the Package Holidays market in Iran can also be attributed to macroeconomic factors such as improving economic stability and increasing disposable incomes. As the economy strengthens, more Iranians have the financial means to invest in travel experiences, including holiday packages. This rise in consumer spending power has fueled the demand for package holidays, driving the growth of the market in Iran.

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.