Online Food Delivery - G7

  • G7
  • The projected revenue in the Online Food Delivery market for G7 is estimated to reach US$493.50bn in 2024.
  • It is expected to exhibit an annual growth rate (CAGR 2024-2029) of 9.63%, leading to a projected market volume of US$781.50bn by 2029.
  • In the Grocery Delivery market, a revenue growth of 24.1% is anticipated in 2025.
  • The market volume for Grocery Delivery is projected to be US$350.50bn in 2024.
  • When comparing globally, China is expected to generate the highest revenue in the Online Food Delivery market, reaching US$448.90bn in 2024.
  • The average revenue per user (ARPU) in the Grocery Delivery market is projected to be US$1.29k in 2024.
  • In the Meal Delivery market, the number of users is expected to reach 435.0m users by 2029.
  • The user penetration in the Meal Delivery market is estimated to be 48.0% in 2024.
  • These statistics highlight the significant growth and potential in the Online Food Delivery market for G7 countries.
  • In the United States, the online food delivery market is witnessing a surge in demand due to the convenience and variety it offers to consumers.
 
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Analyst Opinion

The Online Food Delivery market in G7 countries has been experiencing a significant growth rate in recent years.

Customer preferences:
One of the primary reasons for the growth of the Online Food Delivery market in G7 countries is the changing customer preferences. Customers are increasingly looking for convenience and speed in their food delivery services. With the rise of mobile technology and the internet, customers can now order food from their favorite restaurants with just a few clicks. Moreover, the COVID-19 pandemic has also played a crucial role in the growth of the Online Food Delivery market, as customers are now more inclined to order food online to avoid physical contact.

Trends in the market:
The trends in the Online Food Delivery market in G7 countries vary depending on the local market conditions. In the US, for example, the market is dominated by third-party delivery services such as Uber Eats, Grubhub, and DoorDash. These companies have been expanding their services to smaller cities and towns, making it easier for customers to access food delivery services. In the UK, on the other hand, the market is dominated by aggregators such as Just Eat and Deliveroo, who work with local restaurants to provide food delivery services.

Local special circumstances:
The Online Food Delivery market in G7 countries is also influenced by local special circumstances. In Japan, for example, the market is dominated by delivery services that provide a range of products, including groceries and household items, in addition to food delivery services. In France, the market is heavily regulated, and restaurants are required to use local delivery services, which has resulted in the emergence of several local players in the market.

Underlying macroeconomic factors:
Underlying macroeconomic factors such as GDP, population growth, and disposable income also play a crucial role in the growth of the Online Food Delivery market in G7 countries. Countries with higher GDP and disposable income levels tend to have a higher demand for food delivery services. Moreover, the growth of the Online Food Delivery market is also influenced by the size of the population, as larger populations tend to have a higher demand for food delivery services.

Methodology

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.

Overview

  • Revenue
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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