Package Holidays - China

  • China
  • The Package Holidays market is set to experience remarkable growth in China.
  • It is projected that revenue in this market will reach US$49.25bn in 2024.
  • Moreover, revenue is expected to grow annually at a rate of 3.15% between 2024 and 2029, resulting in a projected market volume of US$57.51bn by 2029.
  • The number of users in this market is expected to reach 159.40m users by 2029, with a user penetration rate of 8.7% in 2024 and a projected rate of 11.2% by 2029.
  • The average revenue per user (ARPU) is expected to be US$0.40k.
  • It is worth noting that 70% of the total revenue in this market will come from online sales by 2029.
  • In terms of global comparison, China is expected to generate the highest revenue in the Package Holidays market, with US$49.25bn in 2024.
  • With the rise of the middle class, more Chinese consumers are opting for all-inclusive package holidays to destinations like Thailand and Japan.

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

 
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Analyst Opinion

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

Customer preferences:
Chinese travelers are increasingly seeking convenience and hassle-free travel experiences, which has led to a rising demand for package holidays. With busy work schedules and limited vacation time, many consumers prefer the simplicity of booking a pre-arranged package that includes flights, accommodation, meals, and activities all in one.

Trends in the market:
One of the key trends in the Package Holidays market in China is the growing popularity of personalized and customizable packages. Travelers are looking for unique experiences tailored to their preferences, whether it be cultural tours, adventure trips, or luxury getaways. This trend has led to an increase in offerings from tour operators and online travel agencies to cater to diverse customer needs.

Local special circumstances:
China's vast territory and rich cultural heritage offer a wide range of destinations for package holidays, from bustling metropolises like Beijing and Shanghai to picturesque landscapes in Yunnan and Guilin. The country's growing middle class and rising disposable income have also contributed to the expansion of the Package Holidays market, with more people able to afford leisure travel.

Underlying macroeconomic factors:
The rapid economic growth in China has led to an increase in domestic and outbound tourism, driving the demand for package holidays. As more Chinese travelers venture abroad, both short-haul trips to neighboring Asian countries and long-haul journeys to Europe and beyond have become popular choices for package holidays. Additionally, government initiatives to promote tourism and improve infrastructure have further boosted the development of the Package Holidays market in China.

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
  • User Demographics
  • Global Comparison
  • Methodology
  • Key Market Indicators
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