Retail Delivery - EU-27

  • EU-27
  • The Reail Delivery market in the EU-30.4% is projected to reach a revenue of US$42.91bn in 2024.
  • This forecast suggests an annual growth rate (CAGR 2024-2029) of 11.11%, resulting in a projected market volume of US$72.68bn by 2029.
  • Additionally, the number of users in the Reail Delivery market is expected to amount to 119.6m users by 2029.
  • The user penetration is projected to be 21.1% in 2024 and is expected to increase to 26.9% by 2029.
  • Furthermore, the average revenue per user (ARPU) is estimated to be US$0.45k.
  • In comparison to other countries, United States is forecasted to generate the most revenue in the Reail Delivery market, amounting to US$195,400.00m in 2024.
  • On the other hand, United States is expected to have the highest user penetration rate of 30.4% in the Reail Delivery market.
  • In Germany, the retail delivery market is witnessing a surge in demand for online grocery shopping due to the convenience and safety it offers during the ongoing pandemic.
 
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Analyst Opinion

The Retail Delivery market in EU-27 is dynamic and constantly evolving to meet the changing needs of consumers.

Customer preferences:
Consumers in the EU-27 have increasingly demanding expectations when it comes to retail delivery. They want fast, reliable, and convenient delivery options. Many consumers are also concerned about the environmental impact of delivery services and are willing to pay extra for eco-friendly options. In addition, the COVID-19 pandemic has accelerated the shift towards online shopping and home delivery, as consumers seek to avoid crowded stores and minimize their exposure to the virus.

Trends in the market:
One of the key trends in the Retail Delivery market in the EU-27 is the growth of same-day and next-day delivery services. Retailers are partnering with logistics providers to offer faster delivery options, with some even offering delivery within a few hours of placing an order. Another trend is the increasing use of drones and autonomous vehicles for delivery, particularly in urban areas where traffic congestion can cause delays. Some retailers are also experimenting with alternative delivery methods, such as lockers and pickup points, to offer greater flexibility to consumers.

Local special circumstances:
Each country in the EU-27 has its own unique set of circumstances that affects the Retail Delivery market. For example, in densely populated urban areas, there may be greater demand for same-day delivery services and alternative delivery methods. In rural areas, however, logistics providers may face challenges in delivering to remote locations. Additionally, some countries have stricter regulations around delivery services, which can impact the availability and cost of delivery options.

Underlying macroeconomic factors:
The Retail Delivery market in the EU-27 is influenced by a range of macroeconomic factors, including GDP growth, consumer spending, and technological innovation. A strong economy and high levels of consumer confidence can lead to increased spending on retail delivery services. Technological advancements in areas such as automation and artificial intelligence are also driving innovation in the delivery market, enabling faster and more efficient delivery options. However, economic downturns and disruptions, such as the COVID-19 pandemic, can have a significant impact on the market, leading to changes in consumer behavior and shifts in demand for different delivery options.

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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