Restaurant Delivery - Canada

Canada

Highlights

The Restaurant Delivery market in Canada is projected to reach a revenue of US$3.99bn by 2024.
This is expected to show an annual growth rate (CAGR) of 0.79% from 2024 to 2029, resulting in a projected market volume of US$4.15bn by 2029.
By 2029, the number of users in the Restaurant Delivery market is expected to reach 12.3m users.
The user penetration rate is predicted to be 30.3% in 2024 and is expected to increase to 30.1% by 2029.
The average revenue per user (ARPU) is projected to be US$335.90.
When compared globally, United States is expected to generate the highest revenue in the Restaurant Delivery market, with an estimated amount of US$36.95bn in 2024.
South Korea is projected to have the highest user penetration rate in the market, with a rate of 44.8%.
In Canada, the restaurant delivery market is thriving, with a growing number of food delivery platforms catering to the diverse culinary preferences of Canadians.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The popularity of food delivery services has been on the rise in Canada in recent years, with more and more consumers opting for the convenience of having meals delivered to their doorstep.

Customer preferences: One of the main reasons for the growth of the restaurant delivery market in Canada is the changing preferences of consumers. Busy lifestyles and the desire for convenience are driving demand for food delivery services. Additionally, the COVID-19 pandemic has accelerated the adoption of food delivery services as more consumers stay at home and avoid dining out.

Trends in the market: The restaurant delivery market in Canada is becoming increasingly competitive, with a growing number of players entering the market. This has led to a rise in innovation, with companies offering new and unique services to differentiate themselves from their competitors. For example, some companies are partnering with grocery stores to offer delivery of both groceries and prepared meals, while others are experimenting with drone and robot deliveries.

Local special circumstances: Canada's vast geography and harsh winters can make food delivery challenging in some regions. However, companies are adapting to these challenges by investing in technology and logistics to ensure timely and efficient deliveries. Additionally, Canada has a diverse population, with many different cuisines and dietary preferences. This has led to a wide range of food delivery options, from traditional Canadian fare to international cuisine.

Underlying macroeconomic factors: The Canadian economy is growing, with low unemployment rates and rising disposable incomes. This has led to an increase in consumer spending, including on food delivery services. Additionally, the rise of e-commerce and the sharing economy has made it easier for companies to enter the food delivery market and reach a wider audience. However, rising costs and regulatory challenges may pose a threat to the growth of the market in the future.

Data coverage:

The data encompasses B2C enterprises. Figures are based on Gross Merchandise Value (GMV) and represent what consumers pay for these products and services. The user metrics show the number of customers who have made at least one online purchase within the past 12 months.

Modeling approach / Market size:

Market sizes are determined through a bottom-up approach, building on predefined factors for each market. As a basis for evaluating markets, we use annual financial reports of the market-leading companies, third-party studies and reports, as well as survey results from our primary research (e.g., the Statista Global Consumer Survey). In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, GDP per capita, and internet connection speed. 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, the S-curve function and exponential trend smoothing. The main drivers are internet users, urban population, usage of key players, and attitudes toward online services.

Additional notes:

The market is updated twice a year in case market dynamics change. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. GCS data is reweighted for representativeness.