Retail Delivery - Italy

Italy

Highlights

The Reail Delivery market in Italy is projected to reach a revenue of US$4.49bn in 2024.
This is expected to show an annual growth rate (CAGR 2024-2029) of 8.54%, resulting in a projected market volume of US$6.76bn by 2029.
In Italy's Reail Delivery market, the number of users is expected to amount to 15.8m users by 2029.
The user penetration rate, which currently stands at 20.7% in 2024, is projected to increase to 27.3% by 2029.
The average revenue per user (ARPU) is expected to amount to US$368.80.
In global comparison, United States is expected to generate the highest revenue in the Reail Delivery market, reaching US$195.40bn in 2024.
However, when it comes to user penetration, United States takes the lead with a projected rate of 30.4%.
With the rise of e-commerce and changing consumer behaviors, Italy's retail delivery market is experiencing a surge in demand for same-day and next-day delivery services.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Retail Delivery market in Italy has seen significant growth in recent years due to changing customer preferences and local special circumstances.

Customer preferences: Italian consumers are increasingly demanding faster and more convenient delivery options. With the rise of e-commerce, customers are expecting same-day or next-day delivery, and retailers are responding by offering more delivery options, such as click-and-collect services. Additionally, there is a growing interest in sustainable and eco-friendly delivery options, leading to the development of delivery methods that reduce carbon emissions.

Trends in the market: One trend in the Italian Retail Delivery market is the increasing use of technology to improve delivery services. Many retailers are implementing advanced tracking systems that allow customers to track their deliveries in real-time, as well as offering more flexible delivery options, such as evening and weekend delivery. Another trend is the growth of third-party logistics providers, who are offering more efficient and cost-effective delivery solutions to retailers.

Local special circumstances: Italy's geography and infrastructure present unique challenges for the Retail Delivery market. With many cities and towns located in hilly or mountainous regions, delivery companies must navigate difficult terrain to reach customers. Additionally, Italy's historic city centers often have narrow streets that are difficult to navigate for large delivery vehicles. These challenges have led to the development of specialized delivery methods, such as electric bicycles and scooters, to better serve customers in these areas.

Underlying macroeconomic factors: Italy's economy has been slowly recovering from the 2008 financial crisis, with GDP growth averaging around 1% in recent years. This has led to increased consumer confidence and spending, which in turn has driven demand for retail delivery services. Additionally, Italy's aging population has led to a growing demand for home delivery services, particularly for groceries and other essential items. Finally, Italy's high population density and urbanization have made delivery services a necessity for many consumers, further driving the growth of the Retail Delivery market.

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.