Meal Kit Delivery - United States

United States

Highlights

The Meal Kit Delivery market in the United States is projected to reach a revenue of US$5.64bn by 2024.
This represents an annual growth rate of 4.00%, resulting in a projected market volume of US$6.87bn by 2029.
The number of users in this market is expected to reach 8.0m users by 2029.
User penetration, which currently stands at 2.0% in 2024, is expected to increase to 2.3% by 2029.
The average revenue per user (ARPU) is projected to be US$829.50.
In a global comparison, United States is expected to generate the highest revenue in the Meal Kit Delivery market, with US$5.64bn in 2024.
However, it is worth noting that New Zealand will have the highest user penetration rate in this market, with a projected rate of 7.3%.
The United States is experiencing a surge in demand for meal kit deliveries due to the convenience and time-saving benefits they offer to busy American consumers.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Meal Kit Delivery market in United States has been growing rapidly in recent years, driven by changing consumer preferences and increasing demand for convenience.

Customer preferences: Consumers in the United States are increasingly looking for ways to save time and simplify their meal preparation process. Meal kit delivery services offer a convenient solution by delivering pre-portioned ingredients and recipes directly to consumers' doorsteps. Additionally, health-conscious consumers are attracted to meal kits that offer healthy and fresh ingredients, as well as the ability to customize meals to meet dietary restrictions.

Trends in the market: The Meal Kit Delivery market in United States has seen significant growth in recent years, with a number of new players entering the market and established companies expanding their offerings. One trend that has emerged is the increasing focus on sustainability and eco-friendliness, with many companies offering recyclable packaging and locally-sourced ingredients. Another trend is the expansion of meal kit offerings beyond dinner, with companies now offering breakfast, lunch, and snack options.

Local special circumstances: The United States is a large and diverse market, with different regions and cities having unique preferences and tastes. For example, urban areas tend to have more demand for vegetarian and vegan options, while rural areas may prefer more traditional meat-based meals. Additionally, some regions may have a greater demand for ethnic cuisine, leading to the emergence of meal kit delivery services that specialize in specific types of cuisine.

Underlying macroeconomic factors: The growth of the Meal Kit Delivery market in United States can be attributed to a number of underlying macroeconomic factors, including increasing urbanization, rising income levels, and changing consumer preferences. Additionally, the COVID-19 pandemic has accelerated the growth of the market, as consumers have been forced to stay at home and cook more meals. As a result, many consumers have turned to meal kit delivery services as a way to simplify their meal preparation process and avoid trips to the grocery store.

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.