Retail Delivery - Central & Western Europe

  • Central & Western Europe
  • The Reail Delivery market in Central & Western Europe is projected to generate a revenue of US$50.38bn in 2024.
  • This is expected to grow at an annual rate of 10.90% (CAGR 2024-2029), resulting in a market volume of US$84.51bn by 2029.
  • By 2029, the number of users in the Reail Delivery market is expected to reach 100.6m users.
  • The user penetration is projected to increase from 23.8% in 2024 to 30.0% in 2029.
  • The average revenue per user (ARPU) is expected to be US$0.63k.
  • In comparison to other countries, United States is forecasted to generate the highest revenue in the Reail Delivery market, reaching US$195,400.00m in 2024.
  • The United States, on the other hand, is expected to have the highest user penetration rate of 30.4% in 2029.
  • In Germany, the retail delivery market is seeing a surge in demand for online grocery shopping, driven by convenience and COVID-19 precautions.
 
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Analyst Opinion

The Retail Delivery market in Central & Western Europe has been evolving rapidly over the past few years, driven by changing customer preferences, local special circumstances, and underlying macroeconomic factors.

Customer preferences:
Customers in Central & Western Europe are increasingly demanding faster and more convenient delivery options. They expect to receive their orders within a day or two, and they want to be able to track their deliveries in real-time. As a result, retailers are investing in last-mile delivery solutions, such as same-day delivery, click-and-collect, and locker delivery, to meet these demands.

Trends in the market:
In Germany, the Retail Delivery market is dominated by the country's leading logistics companies, who are investing heavily in technology and infrastructure to improve their delivery capabilities. In France, the market is highly competitive, with a large number of small and medium-sized logistics providers offering a range of delivery options to customers. In the UK, the market is dominated by a few large players, who are increasingly using drones and autonomous vehicles to deliver goods.

Local special circumstances:
In Central & Western Europe, there are a number of local special circumstances that are shaping the Retail Delivery market. For example, in Germany, there is a strong culture of online shopping, with consumers more likely to shop online than in physical stores. In France, there is a tradition of small, independent retailers, who are increasingly using online marketplaces to reach a wider audience. In the UK, there is a high level of urbanization, which has led to the development of innovative last-mile delivery solutions, such as bike couriers and electric vehicles.

Underlying macroeconomic factors:
The Retail Delivery market in Central & Western Europe is also being influenced by underlying macroeconomic factors, such as demographic changes, technological advancements, and regulatory developments. For example, the aging population in many countries is leading to an increase in demand for home delivery services, while the rise of e-commerce is driving the adoption of new delivery technologies. At the same time, new regulations, such as GDPR and Brexit, are creating uncertainty and complexity for retailers and logistics providers operating in the region.

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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