Restaurant Delivery - Japan

Japan

Highlights

The Restaurant Delivery market in Japan is projected to reach a revenue of ¥US$1.64bn in 2024.
Furthermore, it is expected to experience an annual growth rate (CAGR 2024-2029) of 4.52%, resulting in a projected market volume of ¥US$2.05bn by 2029.
By that time, the number of users in the Restaurant Delivery market is anticipated to amount to 17.3m users.
The user penetration rate is expected to be 11.5% in 2024 and is projected to rise to 14.5% by 2029.
Moreover, the average revenue per user (ARPU) is estimated to be ¥US$116.50.
When comparing globally, United States is expected to generate the highest revenue in the Restaurant Delivery market, reaching US$36.95bn in 2024.
On the other hand, South Korea is projected to have the highest user penetration rate in the market, with a rate of 44.8%.
Japan's restaurant delivery market is booming, driven by the convenience and efficiency of online ordering platforms like Uber Eats and Rakuten Delivery.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The popularity of food delivery services has been on the rise in Japan, making it one of the fastest-growing markets in the country.

Customer preferences: Japanese consumers are increasingly opting for convenience and speed when it comes to food delivery. They prefer to order food online and have it delivered to their doorstep, rather than visiting a restaurant. In addition, the younger generation in Japan is more open to trying new cuisines, which has led to the growth of international food delivery services.

Trends in the market: The food delivery market in Japan has been growing at a rapid pace, with both local and international players entering the market. One of the main trends in the market is the use of technology to improve the delivery experience. Companies are investing in advanced logistics systems, mobile apps, and AI to provide faster and more efficient delivery services. Another trend is the increasing popularity of healthy food delivery services, which cater to the health-conscious Japanese consumer.

Local special circumstances: One of the unique aspects of the Japanese food delivery market is the dominance of traditional food delivery services called "bento" delivery. Bento is a traditional Japanese meal that is typically packed in a box and includes rice, fish or meat, and vegetables. Bento delivery services are popular among office workers who prefer to order lunch instead of going out to eat. In addition, the Japanese market is highly competitive, with a large number of players vying for market share.

Underlying macroeconomic factors: The growth of the food delivery market in Japan can be attributed to several macroeconomic factors. Firstly, the rise of e-commerce and digital payments has made it easier for consumers to order food online. Secondly, Japan's aging population has led to an increase in demand for home delivery services. Finally, the COVID-19 pandemic has accelerated the growth of the food delivery market in Japan, as consumers are increasingly opting for contactless delivery options.

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.