Online Food Delivery - United States

United States

The revenue in the Online Food Delivery market in the United States is projected to reach €327.60bn in 2024.
This is expected to show an annual growth rate (CAGR 2024-2029) of 9.99%, resulting in a projected market volume of €527.30bn by 2029.
In the Grocery Delivery market, there is an expected revenue growth of 27.8% in 2025.
The projected market volume for Grocery Delivery in the United States is €238.80bn in 2024.
When compared globally, the highest revenue will be generated China, with €417.80bn in 2024.
The average revenue per user (ARPU) in the Grocery Delivery market is projected to be €1.73k in 2024.
In the Meal Delivery market, the number of users is expected to reach 192.5m users by 2029.
The user penetration in the Meal Delivery market will be at 50.6% in 2024.
The United States is experiencing a surge in demand for online food delivery services, driven by busy lifestyles and the convenience of ordering meals from a wide range of restaurants at the click of a button.

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Analyst Opinion

The food delivery market in the United States has been growing at a rapid pace in recent years. With the rise of online food delivery services, more and more consumers are opting to order food online rather than dine out or cook at home.

Customer preferences: The convenience of ordering food online and having it delivered directly to their doorstep is a major factor driving the growth of the online food delivery market in the United States. Consumers are increasingly looking for ways to save time and simplify their lives, and online food delivery services provide a quick and easy solution.

Trends in the market: One of the biggest trends in the online food delivery market in the United States is the rise of third-party delivery services. These services partner with local restaurants to offer their menus online and handle the delivery logistics, allowing restaurants to reach a wider audience without having to invest in their own delivery infrastructure.Another trend in the market is the increasing popularity of meal kit delivery services. These services provide customers with pre-portioned ingredients and recipes to cook meals at home, offering a convenient alternative to traditional grocery shopping.

Local special circumstances: The United States is a large and diverse country, and the online food delivery market varies significantly by region. In urban areas with high population densities, such as New York City and San Francisco, online food delivery services are particularly popular due to the convenience of avoiding traffic and parking. In suburban and rural areas, however, traditional dining and cooking at home remain more prevalent.

Underlying macroeconomic factors: The growth of the online food delivery market in the United States is driven by a combination of factors, including the increasing availability of high-speed internet and mobile devices, the rise of the gig economy and flexible work arrangements, and changing consumer preferences for convenience and time-saving services. As these underlying factors continue to evolve, it is likely that the online food delivery market in the United States will continue to grow and evolve as well.

Methodology

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.