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Link to original content: http://statista.com/outlook/mmo/travel-tourism/package-holidays/indonesia
Package Holidays - Indonesia | Statista Market ForecastSkip to main content
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Package Holidays - Indonesia

Indonesia
  • By 2024, the projected revenue in the Package Holidays market of Indonesia is expected to reach US$3.00bn.
  • Moreover, the market is expected to grow annually at a rate of 8.98%, resulting in a projected market volume of US$4.62bn by 2029.
  • The number of users is also expected to increase, reaching 20.40m users by 2029.
  • User penetration, which is currently at 5.7% in 2024, is expected to rise to 7.0% by 2029.
  • The average revenue per user (ARPU) is expected to be US$187.10.
  • Additionally, in the Package Holidays market of Indonesia, 75% of the total revenue will come from online sales by 2029.
  • It's worth noting that in a global comparison, China is projected to generate the most revenue, reaching US$49bn in 2024.
  • Indonesia's package holiday market is thriving due to its diverse culture, stunning landscapes, and affordable prices.

Definition:

The Package Holidays market comprises of travel deals booked via online and offline travel agencies (e.g. Opodo, Expedia), directly from a tour operator (e.g. TUI) in a travel agency or by telephone. Package holidays normally contain travel and accommodation sold for one price, although optional further provisions can be included such as catering and tourist services.

Additional Information:

The main performance indicators of the Package Holidays market are revenues, average revenue per user (ARPU), users and user penetration rates. Additionally, online and offline sales channel shares display the distribution of online and offline bookings. The ARPU refers to the average revenue one user generates per year while the revenue represents the total booking volume. Revenues are generated through both online and offline sales channels and include exclusively B2C revenues. Users represent the aggregated number of travelers. Each user is only counted once per year.

The booking volume includes all booked travels made by users from the selected region, independent of the departure and arrival. The scope includes domestic and outbound travel.

For further information on the data displayed, refer to the info button right next to each box.

In-Scope

  • Contains travel and accommodation, further provisions can be included such as catering and tourist services

Out-Of-Scope

  • Non-packaged travel bookings
Package Holidays: market data & analysis - Cover

Market Insights report

Package Holidays: market data & analysis

Study Details

    Revenue

    Notes: Data was converted from local currencies using average exchange rates of the respective year.

    Most recent update: Jul 2024

    Source: Statista Market Insights

    Most recent update: Jul 2024

    Source: Statista Market Insights

    Sales Channels

    Most recent update: Jul 2024

    Source: Statista Market Insights

    Analyst Opinion

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

    Customer preferences:
    Indonesian customers are increasingly drawn to the convenience and affordability of package holidays, which often include flights, accommodations, and activities all in one bundled price. This all-inclusive approach appeals to travelers looking for a hassle-free vacation experience without the need to plan every detail themselves.

    Trends in the market:
    One notable trend in the Indonesian Package Holidays market is the rise of domestic tourism. As more Indonesians explore their own country, there is a growing demand for package holidays to domestic destinations. This trend is driven by factors such as improved infrastructure, rising disposable incomes, and a desire to discover the diverse attractions Indonesia has to offer.

    Local special circumstances:
    Indonesia's archipelagic nature presents a unique opportunity for package holiday providers to offer a wide range of destinations to travelers. From the pristine beaches of Bali to the cultural richness of Yogyakarta, Indonesia has something for every type of traveler. This diversity allows for a variety of package options catering to different interests and preferences.

    Underlying macroeconomic factors:
    The growing middle class in Indonesia is playing a significant role in the development of the Package Holidays market. With more disposable income, an increasing number of Indonesians are able to afford travel packages that were previously considered luxury items. Additionally, the government's efforts to promote tourism and improve infrastructure have boosted the overall tourism industry, benefiting the package holidays sector as well.

    Users

    Most recent update: Jul 2024

    Source: Statista Market Insights

    User Demographics

    Most recent update: Mar 2024

    Sources: Statista Market Insights, Statista Consumer Insights Global

    Global Comparison

    Most recent update: Jul 2024

    Source: Statista Market Insights

    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.

    Mobility

    Access more Market Insights on Mobility topics with our featured report

    Package Holidays: market data & analysis - BackgroundPackage Holidays: market data & analysis - Cover

    Key Market Indicators

    Notes: Based on data from IMF, World Bank, UN and Eurostat

    Most recent update: Sep 2024

    Source: Statista Market Insights

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