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Quick Commerce - Europe

Europe

The Quick Commerce market in Europe is expected to achieve a revenue of US$11.19bn by the year 2024.
This projection indicates an annual growth rate, known as compound annual growth rate (CAGR), of 8.13% from 2024 to 2029.
Consequently, the market volume is projected to reach US$16.54bn by 2029.
As for the number of users in the Quick Commerce market, it is anticipated to reach 84.9m users by the year 2029.
The user penetration rate, which measures the proportion of users within the total population, is expected to be 7.1% in 2024 and is projected to increase to 10.1% by 2029.
The average revenue per user (ARPU) is estimated to be US$186.40.
In terms of global comparison, China is anticipated to generate the highest revenue in the Quick Commerce market, with a projected amount of US$80,840.00m in 2024.
China also boasts the highest user penetration rate in the Quick Commerce market, with a projected rate of 21.4%.
Germany is experiencing a surge in quick commerce, with major cities like Berlin and Munich witnessing a rapid increase in on-demand delivery services.

Market

Region

Region comparison

Currency

Analyst Opinion

The Quick Commerce market in Europe has been rapidly expanding in recent years, driven by changing consumer preferences and technological advancements.

Customer preferences: Consumers in Europe are increasingly looking for convenience and speed in their shopping experiences. The rise of on-demand delivery and the popularity of mobile devices have made Quick Commerce a desirable option for many. Additionally, the COVID-19 pandemic has accelerated the shift towards online shopping, further boosting demand for Quick Commerce services.

Trends in the market: In countries like the United Kingdom and Germany, Quick Commerce has become a highly competitive market, with a number of players vying for market share. These companies are investing heavily in technology and logistics to improve delivery times and increase efficiency. In contrast, countries like Spain and Italy are still in the early stages of Quick Commerce adoption, with significant room for growth.

Local special circumstances: The unique characteristics of each country in Europe have led to different approaches to Quick Commerce. In some countries, like France, there are strict regulations on delivery times and fees that companies must adhere to. In others, like the Nordic countries, there is a strong emphasis on sustainability and eco-friendliness in the delivery process.

Underlying macroeconomic factors: The growth of Quick Commerce in Europe is also influenced by broader economic trends. For example, the rise of the gig economy and the increasing popularity of flexible work arrangements have made it easier for companies to recruit and retain delivery drivers. Additionally, the ongoing digital transformation of the retail industry has led to increased investment in technology and logistics, further fueling the growth of Quick Commerce.

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.