Platform Delivery - EU-27

  • EU-27
  • The Platform Delivery market in the EU-27 is projected to reach a revenue of US$4.35bn in 2024.
  • It is expected to show an annual growth rate (CAGR 2024-2029) of 5.67%, resulting in a projected market volume of US$5.73bn by 2029.
  • Furthermore, in the Platform Delivery market, the number of users is expected to amount to 51.1m users by 2029.
  • The user penetration is predicted to be 9.8% in 2024, and it is projected to increase to 11.5% by 2029.
  • Additionally, the average revenue per user (ARPU) is expected to amount to US$99.09.
  • In terms of global comparison, it is worth noting that the majority of revenue will be generated China, reaching US$165,200.00m in 2024.
  • Moreover, with a projected user penetration rate of 52.8%, China holds the highest user penetration in the Platform Delivery market.
  • In the EU-27, the platform delivery market in Germany is thriving due to the strong demand for fast and convenient online shopping options.
 
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Analyst Opinion

The Platform Delivery market in EU-27 is experiencing significant growth as more consumers turn to online shopping and on-demand services.

Customer preferences:
Consumers are increasingly looking for convenience and speed in their shopping experiences, which has led to a rise in demand for platform delivery services. Many consumers are also concerned about the environmental impact of their purchases, leading to a preference for delivery options that prioritize sustainable practices.

Trends in the market:
The Platform Delivery market in EU-27 is seeing an increase in competition as more companies enter the market. This has led to a focus on innovation and differentiation, with companies looking to offer unique features such as real-time tracking and customizable delivery options. Additionally, there is a growing trend towards partnerships and collaborations between platform delivery providers and retailers, allowing for more seamless and efficient delivery experiences for consumers.

Local special circumstances:
There are a number of local factors that are impacting the Platform Delivery market in individual countries within EU-27. For example, in countries with high population density and urbanization such as the Netherlands and Belgium, there is a greater demand for same-day and even same-hour delivery options. In contrast, countries with larger rural areas such as Portugal and Spain may have more difficulty providing speedy delivery services to all areas. Additionally, there may be cultural differences in consumer preferences for delivery options, such as a preference for contactless delivery in some countries.

Underlying macroeconomic factors:
The growth of the Platform Delivery market in EU-27 can be attributed in part to broader macroeconomic trends such as the rise of e-commerce and the increasing popularity of on-demand services. Additionally, the COVID-19 pandemic has accelerated the shift towards online shopping and delivery services, as many consumers have been forced to stay home and avoid in-person shopping. The pandemic has also highlighted the importance of reliable and efficient delivery services, leading to increased investment and innovation in the industry.

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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