The popularity of restaurant delivery services has been on the rise in recent years, driven by factors such as changing consumer preferences and advancements in technology.
Customer preferences: Customers are increasingly looking for convenience and speed when it comes to their food options, and restaurant delivery services provide just that. In addition, the COVID-19 pandemic has greatly accelerated the adoption of delivery services, as more people are staying home and avoiding in-person dining experiences.
Trends in the market: In the United States, the restaurant delivery market has seen significant growth in recent years, with the emergence of third-party delivery services such as DoorDash, Grubhub, and Uber Eats. These services have made it easier for customers to order from a wide variety of restaurants, and have also provided a new revenue stream for restaurants that may not have had delivery options before. However, there has also been some backlash from restaurants due to high commission fees charged by these third-party services. In China, the delivery market is dominated by two major players: Meituan Dianping and Ele.me. These companies have been expanding rapidly, with Meituan Dianping even branching out into other services such as hotel bookings and bike-sharing. The delivery market in China is highly competitive, with companies offering a wide variety of delivery options, including groceries and even flowers. In Europe, the restaurant delivery market has also seen significant growth, with companies such as Deliveroo and Just Eat Takeaway expanding their services to more countries. However, there have also been challenges in this market, such as regulatory issues and concerns over worker classification.
Local special circumstances: In India, the restaurant delivery market is dominated by two major players: Swiggy and Zomato. These companies have been expanding rapidly, with Swiggy even launching a hyperlocal delivery service that delivers from nearby stores in addition to restaurants. However, the market in India is also highly fragmented, with many small players competing for market share. In Brazil, the delivery market has been growing rapidly due to the country's large population and urbanization. However, the market is also highly competitive, with many local players vying for market share. In addition, there have been concerns over the safety of delivery workers, with some incidents of robbery and violence against them.
Underlying macroeconomic factors: The growth of the restaurant delivery market is also influenced by underlying macroeconomic factors. For example, the rise of the gig economy and the increasing use of smartphones and mobile apps have made it easier for delivery services to operate and for customers to order food. In addition, the COVID-19 pandemic has greatly accelerated the adoption of delivery services, as more people are staying home and avoiding in-person dining experiences. However, there are also concerns over the long-term viability of some delivery services, as high commission fees and other factors may make it difficult for them to turn a profit.
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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