Retail Delivery - Eastern Europe

Eastern Europe

Highlights

The Reail Delivery market in Eastern Europe is projected to reach a revenue of US$6.81bn by 2024.
It is expected to show a compound annual growth rate (CAGR 2024-2029) of 6.34%, resulting in a projected market volume of US$9.27bn by 2029.
By 2029, the number of users in the Reail Delivery market is expected to amount to 30.2m users.
The user penetration is projected to be 9.5% in 2024 and is expected to increase to 12.8% by 2029.
The average revenue per user (ARPU) is expected to be US$300.50.
In comparison to other countries, United States is projected to generate the highest revenue in the Reail Delivery market, amounting to US$195.40bn in 2024.
United States, on the other hand, is expected to have the highest user penetration rate in the Reail Delivery market, with a projected rate of 30.4%.
In Eastern Europe, the retail delivery market in Russia is experiencing rapid growth due to the increasing popularity of online shopping.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Retail Delivery market in Eastern Europe has been experiencing significant growth in recent years, driven by changing customer preferences and local special circumstances.

Customer preferences: Consumers in Eastern Europe are increasingly turning to online shopping for convenience and cost-effectiveness. This has led to a surge in demand for home delivery services, with many retailers investing in their own delivery fleets or partnering with third-party logistics providers. In addition, there is a growing preference for same-day or next-day delivery options, which has spurred innovation in the last-mile delivery segment.

Trends in the market: One of the key trends in the Eastern European Retail Delivery market is the rise of e-commerce platforms. Online marketplaces such as Allegro, OLX, and Wildberries have become increasingly popular, offering a wide range of products and competitive prices. These platforms often have their own delivery networks, which has put pressure on traditional retailers to improve their delivery capabilities.Another trend is the increasing use of technology in the delivery process. Many retailers are investing in automated warehouses and delivery drones to improve efficiency and reduce costs. In addition, there is a growing demand for real-time tracking and delivery updates, which has led to the development of mobile apps and other digital solutions.

Local special circumstances: The Eastern European Retail Delivery market is characterized by a fragmented logistics landscape, with many small and medium-sized players operating in different countries and regions. This has made it difficult for retailers to establish a consistent and reliable delivery network across the region. In addition, there are significant differences in consumer preferences and shopping habits between countries, which has required retailers to adapt their delivery strategies accordingly.

Underlying macroeconomic factors: The growth of the Eastern European Retail Delivery market is being driven by a combination of macroeconomic factors, including rising disposable incomes, increasing internet penetration, and a growing middle class. In addition, the region's relatively low labor costs and favorable business environment have made it an attractive destination for logistics companies and e-commerce platforms looking to expand their operations.

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.