Meal Kit Delivery - Italy

Italy

Highlights

The Meal Kit Delivery market in Italy is projected to achieve a revenue of US$6.71m in 2024.
It is expected to experience a steady annual growth rate (CAGR 2024-2029) of 2.76%, resulting in a projected market volume of US$7.68m by 2029.
By 2029, the number of users in the Meal Kit Delivery market is expected to reach 23.8k users.
The user penetration rate is projected to be 0.0% in 2024 and is expected to increase to 0.0% by 2029.
The average revenue per user (ARPU) is estimated to be US$303.00.
In a global comparison, United States is expected to generate the highest revenue in the Meal Kit Delivery market, reaching US$5.64bn in 2024.
However, when considering user penetration, New Zealand is projected to have the highest rate of 7.3%.
In Italy, the meal kit delivery market is experiencing a surge in popularity as consumers seek convenient and high-quality options to enjoy traditional Italian cuisine at home.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Meal Kit Delivery market in Italy has seen significant growth in recent years, reflecting a global trend towards convenience and healthy eating.

Customer preferences: Italian consumers are increasingly interested in healthy and convenient meal options that can be prepared quickly and easily at home. Meal kit delivery services offer a solution to the problem of time-poor consumers who want to eat healthily but may not have the time or inclination to shop for ingredients and prepare meals from scratch.

Trends in the market: The Meal Kit Delivery market in Italy has seen a significant increase in the number of players in recent years, with both local and international companies entering the market. This has led to increased competition and innovation, with companies offering a range of options to suit different dietary requirements and taste preferences. There has also been a move towards more sustainable and eco-friendly packaging, reflecting a growing consumer concern for the environment.

Local special circumstances: The Italian market has some unique characteristics that have influenced the development of the Meal Kit Delivery market. Italian cuisine is known for its simplicity and emphasis on fresh, high-quality ingredients, which has led to a focus on using locally sourced produce in meal kit offerings. Additionally, the traditional Italian meal structure of antipasto, primo, secondo, and dolce has influenced the types of meals offered by meal kit companies.

Underlying macroeconomic factors: The growth of the Meal Kit Delivery market in Italy can be attributed to a range of underlying macroeconomic factors. These include the increasing popularity of online shopping and home delivery services, as well as a growing interest in healthy eating and convenience. The COVID-19 pandemic has also played a role, with lockdowns and social distancing measures leading to an increase in demand for home delivery services. Additionally, the rise of the gig economy and freelance work has led to an increase in demand for flexible meal options that can be prepared quickly and easily at home.

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.