Retail Delivery - Worldwide

  • Worldwide
  • The Reail Delivery market worldwide is projected to achieve a revenue of €553.70bn in 2024.
  • It is expected to witness an annual growth rate of 13.13% (CAGR 2024-2029), resulting in a projected market volume of €1,026.00bn by 2029.
  • The number of users in the Reail Delivery market is anticipated to reach 1.7bn users by 2029.
  • The user penetration rate is projected to be 16.0% in 2024 and is expected to increase to 21.5% by 2029.
  • The average revenue per user (ARPU) is estimated to be €0.45k.
  • In a global comparison, the highest revenue is forecasted to be generated United States, amounting to €181,200.00m in 2024.
  • With the rise of e-commerce giants like Amazon and Alibaba, worldwide retail delivery services have become increasingly competitive and focused on quick and efficient last-mile delivery.
Comparación de regiones

Analyst Opinion

The Retail Delivery market has been rapidly developing in recent years due to the increasing demand for online shopping and convenience.

Customer preferences:
Customers are increasingly looking for faster and more reliable delivery options. Same-day and next-day delivery options are becoming more popular, as well as the ability to track packages in real-time. Customers are also looking for more eco-friendly delivery options, such as electric vehicles and bike couriers.

Trends in the market:
In the United States, the Retail Delivery market has seen a significant increase in demand due to the COVID-19 pandemic. Online shopping has become the norm, and retailers have had to adapt to keep up with the demand for delivery services. In Europe, the market has been slower to develop due to stricter regulations and a more fragmented market. However, there has been an increase in demand for sustainable delivery options, such as bike couriers and electric vehicles. In Asia, the market has seen significant growth due to the increasing use of e-commerce platforms and the rise of the middle class.

Local special circumstances:
In China, the Retail Delivery market is dominated by two major players, and Alibaba's Taobao. These companies have built their own logistics networks to meet the demand for delivery services. In India, the market is highly fragmented, with many small players operating in different regions. This has led to challenges in providing reliable and efficient delivery services. In Brazil, the market is still in its early stages of development, with many consumers still preferring to shop in physical stores.

Underlying macroeconomic factors:
The Retail Delivery market is heavily influenced by macroeconomic factors such as GDP growth, population density, and technological advancements. Countries with a high GDP per capita and a large population tend to have a more developed Retail Delivery market. Technological advancements, such as the use of drones and autonomous vehicles, are also expected to have a significant impact on the market in the coming years. However, regulatory issues and concerns over privacy and safety may slow down the adoption of these technologies.


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. All monetary figures refer to consumer spending on digital goods or subscriptions in the respective market. Gross merchandise value is calculated prior to the deduction of any fees or expenses..

Modeling approach:

Market sizes are determined through a bottom-up approach, building on specific predefined factors for each market. As a basis for evaluating markets, we use annual financial reports of the market-leading companies and industry associations, third-party studies and reports, survey results from our primary research (e.g., the Statista Consumer Insights Global survey), data on shopping behavior (e.g., Google Trends, Alibaba Trends), as well as performance factors (e.g., user penetration, price per product, usage). In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, number of internet users, and internet consumption. This data helps us estimate the market size for each country individually.


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 are well suited for forecasting digital products and services due to the non-linear growth of technology adoption. The main drivers are GDP per capita, consumer spending per capita, and internet penetration.

Additional notes:

The data is modeled using current exchange rates. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. The market is updated twice a year. In some cases, the data is updated on an ad hoc basis (e.g., when new, relevant data has been released or significant changes within the market have an impact on the projected development). Data from the Statista Consumer Insights Global survey is reweighted for representativeness.

Visión general

  • Revenue
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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