Quick Commerce - France

France

Highlights

The Quick Commerce market in France is expected to reach a revenue of US$1.36bn by 2024.
This projection indicates an annual growth rate (CAGR 2024-2029) of 9.44%, resulting in a projected market volume of US$2.13bn by 2029.
Furthermore, the number of users in the Quick Commerce market is expected to amount to 7.6m users by 2029.
The user penetration, which is the percentage of the population using Quick Commerce market, is projected to increase from 7.6% in 2024 to 11.6% by 2029.
The average revenue per user (ARPU) is expected to be US$275.60.
In a global comparison, China is expected to generate the highest revenue in the Quick Commerce market, reaching US$80.84bn in 2024.
Additionally, China is projected to have the highest user penetration rate of 21.4% in the Quick Commerce market.
The rapid growth of Quick Commerce in France is driven by the increasing demand for convenience and efficiency in urban areas.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Quick Commerce market in France has been experiencing significant growth in recent years, driven by changing consumer preferences and local special circumstances.

Customer preferences: French consumers are increasingly looking for convenient and fast delivery options for their online purchases, which has led to the rise of Quick Commerce services in the country. With busy lifestyles and a desire for instant gratification, customers are willing to pay a premium for same-day or even one-hour delivery. Additionally, the COVID-19 pandemic has accelerated the adoption of online shopping, further driving demand for Quick Commerce services.

Trends in the market: The Quick Commerce market in France is becoming increasingly competitive, with both domestic and international players entering the market. This has led to innovation in delivery options, such as the use of electric bikes and scooters for faster and more sustainable delivery. Additionally, Quick Commerce companies are expanding their offerings beyond just food and grocery delivery, into areas such as healthcare and beauty products.

Local special circumstances: The French government has implemented strict regulations on the Quick Commerce industry, in an effort to protect traditional brick-and-mortar retailers. For example, Quick Commerce companies are not allowed to offer discounts on products, and are required to charge a minimum delivery fee. Additionally, there is a strong focus on sustainability in the country, which has led to the adoption of eco-friendly delivery methods.

Underlying macroeconomic factors: France has a strong and stable economy, with a high level of consumer spending. This has created a favorable environment for the growth of the Quick Commerce market. Additionally, the country has a well-developed infrastructure and transportation network, which allows for efficient and timely delivery. However, there is also a high level of competition in the market, which has led to pressure on profit margins for Quick Commerce companies.

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.