Online Food Delivery

The revenue in the Online Food Delivery market is forecasted to reach US$1.20tn in 2024.
It is expected to exhibit a compound annual growth rate (CAGR 2024-2029) of 9.18%, resulting in a projected market volume of US$1.85tn by 2029.
In the Grocery Delivery market, a revenue growth of 20.0% is anticipated in 2025.0.
The market volume for Grocery Delivery is projected to be US$770.90bn in 2024.
When compared globally, China is expected to generate the highest revenue, amounting to US$450.50bn in 2024.
The average revenue per user (ARPU) in the Grocery Delivery market is projected to be US$495.50 in 2024.
In the Meal Delivery market, the number of users is expected to reach 2.5bn users by 2029.
The user penetration in the Meal Delivery market will be approximately 26.6% in 2024.
These figures represent the market of Online Food Delivery market on a global scale.
In the global online food delivery market, countries like the United States and China are leading the way with their large consumer base and robust delivery infrastructure.

Definition:

Online Food Delivery refers to the intersection of ordering groceries and prepared meals online. Orders are typically placed through an app or website and delivery times vary.

Structure:

The Online Food Delivery market contains the user and revenue development of two different delivery service solutions: (1) Meal Delivery and (2) Grocery Delivery. Included are services that deliver prepared meals and food ordered online for direct consumption (Meal Delivery) and non-prepared food and beverage products, household, and personal care products (Grocery Delivery). Meal delivery includes the delivery of meals carried out directly by restaurants (Restaurant Delivery) and online delivery services that provide customers with meals from partner restaurants that do not necessarily have to offer food delivery themselves (Platform Delivery). Grocery Delivery consists of fresh, nonprepared products delivered from supermarkets or retailers where delivery is scheduled (Retail Delivery), Delivery that is under 3 hours and operates dark stores or own warehouses (Quick Commerce), and prepared fresh ingredients to be prepared at home, typically offered through a subscription service (Meal Kit Delivery).

Additional Information:

Revenue figures are the gross merchandise value (GMV), defined as the total sales dollar value for merchandise/food sold through the Online Food Delivery marketplace. User and revenue figures represent B2C services.

Meals and groceries ordered online that are directly delivered by the restaurant, retailer, or platform no matter if ordered via a platform (e.g. Delivery Hero, Instacart) or a restaurant/retailer website (e.g. Domino's, Walmart.com)
Online meal and grocery order and delivery both carried out by a platform (e.g. Deliveroo, Grab, Flink)

Phone orders
Click & collect Grocery orders
Ready-to-eat meals

The Online Food Delivery market has become increasingly popular worldwide, with more and more consumers opting to order their meals online.

Customer preferences: The convenience of ordering meals online has led to a significant increase in the number of consumers using online food delivery services. Customers appreciate the ease of ordering, the availability of a wide range of cuisines, and the ability to track their orders in real-time. Additionally, the COVID-19 pandemic has accelerated the adoption of online food delivery services, as consumers look for contactless options to order food.

Trends in the market: In the United States, the online food delivery market has seen significant growth, with the rise of third-party delivery services such as Uber Eats, DoorDash, and Grubhub. These platforms have become increasingly popular, particularly among younger consumers, who value the convenience and variety of options available. In China, the online food delivery market has become dominated by two major players, Meituan and Ele.me, which have been able to leverage their scale to offer competitive pricing and a wide range of services. In Europe, the market is more fragmented, with a mix of local and international players vying for market share.

Local special circumstances: In India, the online food delivery market has seen significant growth in recent years, with the rise of platforms such as Swiggy and Zomato. These platforms have been able to leverage their local knowledge and relationships with restaurants to offer a wide range of options to consumers. Additionally, the use of cash on delivery as a payment option has been a key driver of adoption in India, where many consumers do not have access to credit cards.

Underlying macroeconomic factors: The growth of the online food delivery market has been driven by a range of macroeconomic factors, including the rise of the gig economy, the increasing popularity of mobile devices, and changing consumer preferences. Additionally, the COVID-19 pandemic has accelerated the adoption of online food delivery services, as consumers look for safe and convenient ways to order food. However, the market remains highly competitive, with many players vying for market share and profitability remaining a challenge for many companies.

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. All monetary figures refer to consumer spending on digital goods or subscriptions in the respective market. Gross merchandise value is calculated prior to the deduction of any fees or expenses..

Modeling approach:

Market sizes are determined through a bottom-up approach, building on specific predefined factors for each market. As a basis for evaluating markets, we use annual financial reports of the market-leading companies and industry associations, third-party studies and reports, survey results from our primary research (e.g., the Statista Consumer Insights Global survey), data on shopping behavior (e.g., Google Trends, Alibaba Trends), as well as performance factors (e.g., user penetration, price per product, usage). In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, number of internet users, and internet consumption. 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 are well suited for forecasting digital products and services due to the non-linear growth of technology adoption. The main drivers are GDP per capita, consumer spending per capita, and internet penetration.

Additional notes:

The data is modeled using current exchange rates. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. The market is updated twice a year. In some cases, the data is updated on an ad hoc basis (e.g., when new, relevant data has been released or significant changes within the market have an impact on the projected development). Data from the Statista Consumer Insights Global survey is reweighted for representativeness.

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