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Quick Commerce - Japan

Japan

The Quick Commerce market in Japan is projected to reach a revenue of ¥€3.49bn by 2024.
This is expected to grow at an annual rate of 10.50% (CAGR 2024-2029), resulting in a projected market volume of ¥€5.75bn by 2029.
By that year, the number of users in the Quick Commerce market is expected to amount to 23.6m users.
In terms of user penetration, it is projected to be 13.7% in 2024 and is expected to increase to 19.8% by 2029.
The average revenue per user (ARPU) is expected to be ¥€208.40.
When comparing the Quick Commerce market globally, China is anticipated to generate the highest revenue, amounting to ¥€74,960.00m in 2024.
Furthermore, China is expected to have the highest user penetration rate in the Quick Commerce market, projected to reach 21.4%.
With Japan's efficient transport system and demand for convenience, Quick Commerce is booming, allowing consumers to get their desired products delivered quickly and effortlessly.

Marché

Région

Comparaison de régions

Monnaie

Analyst Opinion

The Quick Commerce market in Japan has been rapidly growing in recent years, driven by a combination of customer preferences and local special circumstances.

Customer preferences: Japanese consumers have long been known for their love of convenience and efficiency, which has made the Quick Commerce market a natural fit for the country. With busy work schedules and a desire for instant gratification, Japanese consumers are increasingly turning to Quick Commerce services to fulfill their daily needs. Additionally, the COVID-19 pandemic has accelerated the adoption of Quick Commerce services, as consumers look for ways to avoid crowded public spaces.

Trends in the market: One of the key trends in the Quick Commerce market in Japan is the rise of on-demand delivery services. Customers are demanding faster and more flexible delivery options, and Quick Commerce companies are responding by offering delivery within minutes of placing an order. Another trend is the increasing use of technology to streamline the ordering and delivery process. Many Quick Commerce companies are investing in artificial intelligence and automation to improve efficiency and reduce costs.

Local special circumstances: Japan's aging population and shrinking workforce have created a unique set of challenges for the Quick Commerce market. With fewer young people entering the workforce, there is a shortage of delivery drivers and other logistics personnel. To address this issue, some Quick Commerce companies are experimenting with autonomous delivery vehicles and other innovative solutions. Additionally, Japan's strict regulations around food safety and quality control have made it difficult for foreign Quick Commerce companies to enter the market.

Underlying macroeconomic factors: Japan's economy has been struggling with low growth and deflation for many years, which has made it difficult for traditional brick-and-mortar retailers to thrive. Quick Commerce companies, however, have been able to take advantage of this environment by offering low-cost, high-volume services that appeal to cost-conscious consumers. Additionally, the Japanese government has been actively promoting the growth of the Quick Commerce market as part of its broader efforts to stimulate economic growth and innovation.

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.