Online Food Delivery

Revenue in the Online Food Delivery market in France is projected to reach US$14.52bn in 2024.
The market is expected to show an annual growth rate (CAGR 2024-2029) of 10.90%, resulting in a projected market volume of US$24.35bn by 2029.
In the Grocery Delivery market in France, revenue growth of 17.0% is expected in 2025.0.
The market has a projected market volume of US$12.26bn in 2024.
In global comparison, China is expected to generate the most revenue in the Online Food Delivery market with US$450.50bn in 2024.
The average revenue per user (ARPU) in the Grocery Delivery market in France is projected to amount to US$719.20 in 2024.
In the Grocery Delivery market in France, the number of users is expected to amount to 22.6m users by 2029.
User penetration in the Grocery Delivery market in France will be at 27.1% in 2024.
France's online food delivery market is booming, with a wide range of gourmet options available at the click of a button.

Definition:

Online Food Delivery refers to the intersection of ordering groceries and prepared meals online. Orders are typically placed through an app or website and delivery times vary.

Structure:

The Online Food Delivery market contains the user and revenue development of two different delivery service solutions: (1) Meal Delivery and (2) Grocery Delivery. Included are services that deliver prepared meals and food ordered online for direct consumption (Meal Delivery) and non-prepared food and beverage products, household, and personal care products (Grocery Delivery). Meal delivery includes the delivery of meals carried out directly by restaurants (Restaurant Delivery) and online delivery services that provide customers with meals from partner restaurants that do not necessarily have to offer food delivery themselves (Platform Delivery). Grocery Delivery consists of fresh, nonprepared products delivered from supermarkets or retailers where delivery is scheduled (Retail Delivery), Delivery that is under 3 hours and operates dark stores or own warehouses (Quick Commerce), and prepared fresh ingredients to be prepared at home, typically offered through a subscription service (Meal Kit Delivery).

Additional Information:

Revenue figures are the gross merchandise value (GMV), defined as the total sales dollar value for merchandise/food sold through the Online Food Delivery marketplace. User and revenue figures represent B2C services.

Meals and groceries ordered online that are directly delivered by the restaurant, retailer, or platform no matter if ordered via a platform (e.g. Delivery Hero, Instacart) or a restaurant/retailer website (e.g. Domino's, Walmart.com)
Online meal and grocery order and delivery both carried out by a platform (e.g. Deliveroo, Grab, Flink)

Phone orders
Click & collect Grocery orders
Ready-to-eat meals

France, renowned for its culinary expertise, has seen a significant rise in the online food delivery market. The market has been growing at a steady pace, and it is expected to continue its growth trajectory in the coming years.

Customer preferences: French consumers have shown a preference for convenience and speed when it comes to food delivery. The rise of online food delivery platforms has made it easier for consumers to order food from their favorite restaurants without having to leave their homes. The convenience of ordering food online has led to a surge in demand for online food delivery services.

Trends in the market: The online food delivery market in France has seen a shift towards healthier food options. Consumers are becoming more health-conscious and are looking for healthier food options when ordering online. This trend has led to an increase in the number of restaurants offering healthy food options on online food delivery platforms. Another trend that has emerged in the market is the rise of ghost kitchens. These are kitchens that operate solely for online food delivery orders, without a physical restaurant location. Ghost kitchens have become popular in France, as they allow restaurants to expand their delivery reach without the added costs of a physical restaurant location.

Local special circumstances: France has a strong food culture, and consumers have high expectations when it comes to the quality of their food. This has led to a rise in the number of high-end restaurants offering online food delivery services. The rise of these high-end restaurants has led to an increase in the average order value of online food delivery orders. Additionally, France has a large student population, which has led to a rise in demand for affordable food options. Online food delivery platforms have become popular among students, as they offer affordable food options that can be delivered directly to their doorstep.

Underlying macroeconomic factors: The French economy has been growing steadily in recent years, and this has led to an increase in disposable income. The rise in disposable income has led to an increase in consumer spending on food, including online food delivery. Additionally, the rise of the gig economy has led to an increase in the number of people working from home. This has led to a rise in demand for online food delivery services, as more people are looking for convenient food options that can be delivered directly to their homes.

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.

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