The Quick Commerce market in Italy has been steadily growing in recent years, driven by various factors that have influenced customer preferences and local special circumstances.
Customer preferences: Italian consumers have shown an increasing preference for convenience and speed when it comes to shopping, which has fueled the growth of the Quick Commerce market. With the rise of e-commerce and on-demand services, consumers are looking for ways to get what they need quickly and easily, without having to leave their homes or offices. This has led to a surge in demand for Quick Commerce services that offer fast delivery of goods and services, often within an hour or less.
Trends in the market: One of the key trends in the Quick Commerce market in Italy is the growing popularity of mobile apps and online platforms that offer on-demand services. Many consumers are now using their smartphones to order food, groceries, and other goods, which has led to the emergence of new players in the market. Some of the most popular Quick Commerce platforms in Italy include Glovo, Just Eat, and Uber Eats, which offer a range of services from food delivery to courier services.Another trend in the Quick Commerce market in Italy is the increasing focus on sustainability and eco-friendliness. Many Quick Commerce companies are now looking for ways to reduce their carbon footprint and promote environmentally-friendly practices. This includes using electric vehicles for deliveries, reducing packaging waste, and sourcing products from local suppliers.
Local special circumstances: Italy's unique cultural and geographical landscape has also played a role in the development of the Quick Commerce market. With its rich culinary tradition and diverse regional cuisines, Italy has become a hub for food delivery services, with many Quick Commerce platforms offering a wide range of local and international cuisine options.In addition, Italy's dense urban population and narrow streets have made traditional delivery methods such as trucks and vans less practical, which has led to the rise of more flexible and agile delivery options such as bicycles and scooters.
Underlying macroeconomic factors: The Quick Commerce market in Italy has also been influenced by broader macroeconomic factors, such as the growth of the sharing economy and the increasing digitization of the economy. As more consumers embrace digital technologies and on-demand services, the Quick Commerce market is likely to continue to grow and evolve in the coming years. However, the market is also facing challenges such as intense competition, regulatory hurdles, and the need to balance speed and convenience with sustainability and social responsibility.
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.
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