Vacation Rentals - Canada

Canada

Highlights

It is projected that the Vacation Rentals market in Canada will see a revenue of C$2.53bn in 2024.
The revenue is expected to grow at an annual rate of 2.39% from 2024 to 2029, resulting in a projected market volume of C$2.75bn by 2029.
By the end of 2029, the number of users in the Vacation Rentals market is expected to reach 8.25m users.
In 2024, the user penetration rate is 18.8%, which is expected to decrease to 20.3% by 2029.
The average revenue per user (ARPU) in the Vacation Rentals market is expected to be C$345.10.
Online sales are projected to generate 97% of the total revenue by 2029.
In terms of global comparison, United States is expected to generate the most revenue in the Vacation Rentals market, amounting to C$27bn in 2024.
Canada's Vacation Rentals market is booming, with a focus on cozy cabins and lakeside retreats in remote areas for a truly isolated getaway.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Vacation Rentals market in Canada is experiencing significant growth and evolution, driven by various factors influencing customer preferences and market trends.

Customer preferences: Customers in Canada are increasingly seeking unique and personalized vacation experiences, leading to a rise in demand for vacation rentals over traditional accommodations. The flexibility, affordability, and authenticity offered by vacation rentals appeal to travelers looking to immerse themselves in the local culture and lifestyle.

Trends in the market: One notable trend in the Canadian Vacation Rentals market is the growing popularity of eco-friendly and sustainable properties. Travelers are showing a preference for environmentally conscious accommodations, prompting property owners to adopt green practices and attract a niche market segment. Additionally, the integration of technology, such as online booking platforms and smart home features, is streamlining the rental process and enhancing the overall guest experience.

Local special circumstances: Canada's vast and diverse landscape presents unique opportunities for vacation rental growth, with popular destinations ranging from picturesque mountain retreats to vibrant urban centers. The seasonal nature of tourism in Canada also impacts the Vacation Rentals market, as properties in ski resorts experience high demand during winter months, while beachfront rentals thrive in the summer. Moreover, the country's strong cultural heritage and indigenous tourism offerings contribute to the appeal of vacation rentals that showcase local traditions and craftsmanship.

Underlying macroeconomic factors: The steady growth of Canada's tourism industry, coupled with an increase in domestic travel, is fueling the expansion of the Vacation Rentals market. Economic stability and favorable exchange rates are encouraging both domestic and international travelers to explore Canada and opt for vacation rental accommodations. Furthermore, government initiatives supporting tourism development and infrastructure improvements are enhancing the overall competitiveness of the Canadian hospitality sector, driving further growth in the Vacation Rentals market.

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and sales channels of vacation rentals.

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.