Quick Commerce - Southern Europe

  • Southern Europe
  • The Quick Commerce market in Southern Europe is projected to reach a revenue of US$2.44bn in 2024.
  • It is expected to exhibit an annual growth rate (CAGR 2024-2029) of 6.80%, resulting in a projected market volume of US$3.39bn by 2029.
  • By 2029, the number of users in the Quick Commerce market is expected to reach 24.0m users.
  • The user penetration is anticipated to be 7.6% in 2024 and is projected to reach 10.2% by 2029.
  • The average revenue per user (ARPU) is expected to amount to US$135.70.
  • In comparison to other countries, China is predicted to generate the highest revenue in the Quick Commerce market, amounting to US$80,840.00m in 2024.
  • Additionally, China is expected to have the highest user penetration rate in the Quick Commerce market with a projected rate of 21.4%.
  • In Southern Europe, Quick Commerce is rapidly growing in popularity, with Spain leading the way as the country with the highest number of quick commerce services available.
 
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Analyst Opinion

The Quick Commerce market in Southern Europe has seen significant growth in recent years, driven by changing consumer preferences and technological advancements in the retail industry.

Customer preferences:
Customers in Southern Europe are increasingly looking for convenience and speed when it comes to their shopping experience. Quick Commerce, or Q-Commerce, offers just that, with deliveries typically taking less than an hour. This is particularly appealing to younger generations who value time and convenience over traditional shopping experiences.

Trends in the market:
Spain and Italy are leading the way in the Quick Commerce market in Southern Europe, with companies such as Glovo and Deliveroo expanding their services to these countries. In Spain, the Q-Commerce market has grown rapidly, with an estimated 20% of the population using these services. This trend is expected to continue as more companies enter the market and competition increases.

Local special circumstances:
One factor driving the growth of Q-Commerce in Southern Europe is the prevalence of small, family-owned businesses. These businesses often do not have the resources to offer delivery services themselves, making partnerships with Q-Commerce platforms an attractive option. Additionally, the tourism industry in Southern Europe has contributed to the growth of Q-Commerce, as travelers often have limited time and are looking for quick and convenient options.

Underlying macroeconomic factors:
The economic downturn in Southern Europe following the 2008 financial crisis has also played a role in the growth of Q-Commerce. Many consumers are looking for ways to save money, and the competitive pricing of Q-Commerce platforms is appealing. Additionally, the rise of the gig economy and the increasing number of people working from home has created a demand for flexible, on-demand delivery services.Overall, the Quick Commerce market in Southern Europe is expected to continue its growth trajectory in the coming years. As consumer preferences continue to shift towards convenience and speed, and technological advancements make it easier for businesses to offer Q-Commerce services, this market is poised for further expansion.

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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