Platform Delivery - Europe

Europe

Highlights

The Platform Delivery market in Europe is projected to reach a revenue of US$13.00bn by 2024.
This is expected to result in an annual growth rate (CAGR 2024-2029) of 5.26%, leading to a projected market volume of US$16.80bn by 2029.
In this market, the number of users is expected to reach 105.0m users by 2029.
The user penetration rate is projected to be 10.4% in 2024 and is expected to increase to 12.5% by 2029.
The average revenue per user (ARPU) is estimated to be US$147.90.
When compared globally, China is expected to generate the highest revenue in the Platform Delivery market, amounting to US$166.80bn by 2024.
Additionally, China is projected to have the highest user penetration rate in this market, with a rate of 52.8%.
In Germany, the platform delivery market is experiencing significant growth due to the increasing demand for convenient and fast delivery services.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Platform Delivery market in Europe has been experiencing significant growth in recent years, driven by a number of factors such as increased demand for online shopping and the rise of the gig economy.

Customer preferences: Customers in Europe are increasingly turning to online shopping as a convenient and time-saving alternative to traditional brick-and-mortar stores. This has led to a surge in demand for platform delivery services that can provide fast and reliable shipping of goods. Additionally, the rise of the gig economy has created a growing pool of independent contractors who rely on platform delivery services for their livelihoods.

Trends in the market: One of the key trends in the Platform Delivery market in Europe is the increasing use of technology to improve delivery efficiency. This includes the use of drones, autonomous vehicles, and other innovative solutions to streamline the delivery process and reduce costs. Another trend is the growing importance of sustainability, with many platform delivery companies investing in eco-friendly initiatives such as electric vehicles and carbon offset programs.

Local special circumstances: The Platform Delivery market in Europe is highly competitive, with a number of established players such as DHL, FedEx, and UPS vying for market share. However, there are also a number of local players that have gained traction in specific countries or regions. For example, PostNord is a leading platform delivery provider in the Nordic countries, while DPD is a popular choice in Germany.

Underlying macroeconomic factors: The growth of the Platform Delivery market in Europe is closely tied to broader macroeconomic trends such as the rise of e-commerce and the increasing importance of the gig economy. Additionally, factors such as population growth, urbanization, and changing consumer preferences are expected to continue driving demand for platform delivery services in the region. On the other hand, regulatory challenges and concerns around data privacy and security could pose a risk to the market's growth in the future.

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.