Travel & Tourism - Australia & Oceania

  • Australia & Oceania
  • Australia & Oceania is projected to generate a revenue of US$17,400.00m in the Travel & Tourism market by 2024.
  • The market is expected to experience an annual growth rate (CAGR 2024-2029) of 4.16%, which is estimated to result in a market volume of US$21,330.00m by 2029.
  • The largest market of the industry is the Hotels market, which is expected to reach a market volume of US$7,976.00m in 2024.
  • By 2029, the number of users in Hotels is anticipated to reach 19.17m users.
  • The user penetration rate is expected to increase from 55.2% in 2024 to 64.9% by 2029.
  • The average revenue per user (ARPU) is expected to be US$0.73k.
  • It is projected that by 2029, 75% of the total revenue in the Travel & Tourism market will come from online sales.
  • In comparison to other countries, United States is expected to generate the highest revenue of US$214bn in 2024.
  • Australia's travel and tourism industry is heavily impacted by the COVID-19 pandemic, resulting in a significant decrease in international visitors.

Key regions: Malaysia, Europe, Singapore, Vietnam, United States

 
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Analyst Opinion

Australia & Oceania has seen a significant growth in the Travel & Tourism market in recent years.

Customer preferences:
Travelers in Australia & Oceania are increasingly seeking unique and authentic experiences, driving the demand for sustainable and eco-friendly tourism options. They are also placing a high value on convenience and personalized services, leading to the rise of digital platforms and mobile applications in the travel industry.

Trends in the market:
In Australia, domestic tourism has been a key driver of growth, with more Australians choosing to explore their own country. This trend has been further accelerated by external factors such as the global pandemic, which restricted international travel. Additionally, adventure tourism and nature-based experiences have gained popularity among both domestic and international travelers in countries like New Zealand and Fiji.

Local special circumstances:
Australia & Oceania's unique geography and diverse ecosystems offer a wide range of attractions for tourists, including the Great Barrier Reef, the Outback, and Maori cultural experiences. The region's proximity to Asia also makes it a desirable destination for Asian travelers, particularly from countries like China and Japan.

Underlying macroeconomic factors:
The strong economic performance of countries like Australia and New Zealand has contributed to the growth of the Travel & Tourism market in the region. Increasing disposable incomes and a growing middle class have made travel more accessible to a larger segment of the population. Additionally, government initiatives to promote tourism and invest in infrastructure have further supported the industry's expansion.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and sales channels of hotels, vacation rentals, cruises, package holidays, and camping.

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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