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Camping demand has changed in recent years. Besides being close to nature, which helps some travelers to unwind, one driver was the COVID-19 pandemic. Due to lockdowns and closed international travel, some countries saw an increase in domestic vacationing. This was, however, not a homogenous effect for every country. In many countries, the pandemic led to uncertainty and general decrease in recreational vacation, similar to other travel products. Yet, apart from the pandemic, general higher sentiment for environmental topics fostered growth in the camping industry. Camping allows for low CO2 emissions, as it does not require long-distance travels because many trips can be done locally. In comparison to other means of accommodation, it is also a relatively inexpensive way of traveling and very popular among backpackers.

In the United States, camping is a well-established way of recreational tourism. Different providers allow for various ways of camping, be it in national parks, on professional campgrounds, or at small camping spots. Campsites are well-established and allow for easy booking, both online and offline. This is similar to Europe, where popular camping countries are France, the Netherlands, and Germany. However, also China discovers camping more and more as a popular recreational activity. The number of campsites has increased steeply in the past years, which shows a growing demand for camping in the Asian region.

Data coverage:

Data refers to enterprises (B2C). Figures are based on camping nights, prices, average length of stay, and camping frequencies.

Modeling approach:

We use industry associations, UNWTO data, the �����ƽ�� Consumer �����ƽ�� survey, and pricing data of websites to analyze the markets. To estimate the market size for each country individually, we use relevant key market indicators and data from country-specific industry associations, such as tourism GDP, share of internet users, and demographic data.

Forecasts:

We use a variety of forecasting techniques, depending on the behavior of the market. For the camping market, Holt-Winters forecast, ARIMA, and Bayesian Ridge regression were used. The main drivers are the tourism GDP per capita and the share of internet users.

Additional notes: :

Data is modeled using current exchange rates. The market is updated twice per year in case market dynamics change.