According to PayNXT360, the quick commerce market in Japan is expected to grow by 9.9% annually, reaching US$7,705.5 million by 2025. The quick commerce market in the country has experienced robust g...
According to PayNXT360, the quick commerce market in Japan is expected to grow by 9.9% annually, reaching US$7,705.5 million by 2025. The quick commerce market in the country has experienced robust growth during 2020-2024, achieving a CAGR of 9.0%. This upward trajectory is expected to continue, with the market forecast to grow at a CAGR of 9.5% from 2025 to 2029. By the end of 2029, the quick commerce market is projected to expand from its 2024 value of US$7,011.4 million to approximately US$11,091.5 million. Key Trends & Drivers 1. Delivery platforms broaden beyond restaurants into everyday retail • Food-delivery platforms are steadily turning into “everything delivery” channels, adding supermarkets, convenience stores, drug stores, and specialty shops. Demae-can positions itself as a hyperlocal platform, now delivering daily necessities, beverages, and other essentials across all 47 prefectures, explicitly framing this as “quick commerce.” • Wolt in Japan promotes delivery from local supermarkets, convenience stores, and drugstores in around 30 minutes, clearly targeting top-up grocery and everyday-item trips, rather than just meals. Uber Eats Japan has added services where delivery partners shop on behalf of customers at stores and deliver groceries and daily goods, further blurring the line between restaurant delivery and quick commerce. • Japan’s online food delivery market and broader e-commerce sector continue to grow as consumers become more comfortable with app-based ordering for routine purchases. • Retailers view these platforms as incremental digital storefronts: instead of building their own last-mile networks, they tap existing rider fleets and app traffic. Convenience stores and drugstores already function as “everyday infrastructure” in Japan; adding them to delivery platforms is a natural extension of their role in daily life. • Expect quick commerce in Japan to be defined less by standalone dark-store players and more by multi-category platforms, such as Demae-can, Wolt, and Uber Eats, which integrate more retailers and SKUs. • As retail mixes deepen, competition will likely shift from pure delivery speed to assortment breadth, reliability, and fee structures. For retailers, reliance on external platforms raises questions about margin sharing and data ownership, encouraging some to adopt hybrid models (owning apps in addition to platform presence). 2. Convenience and drugstore chains use quick commerce to extend store networks • Major convenience and supermarket chains are layering rapid delivery on top of dense physical networks, effectively turning stores into micro-fulfilment hubs. • Supermarket groups such as Aeon (“My Basket”) and Life Co. already operate online grocery and delivery services. For example, Life partners with Amazon for fresh food delivery, combining store inventory with platform demand. Drugstore chains and other retailers are increasingly present on platforms like Wolt and Demae-can, making OTC medicines, personal care, and household goods part of quick-delivery assortments. • The convenience store sector is growing in value, but faces flat or declining spend per visit, prompting operators to seek new revenue through delivery and digital channels. • Urban consumers already rely on convenience stores and drugstores for daily top-ups; adding 30–60-minute delivery is an incremental step rather than a behavioral shift. Real estate and labour costs make pure dark-store models less attractive; using existing stores as fulfilment nodes is operationally simpler and easier to scale. • Quick commerce in Japan is likely to remain closely intertwined with convenience store and drugstore ecosystems, rather than shifting to warehouse-only models. We should see more structured partnerships between national chains and platforms (e.g., exclusive delivery zones, joint promotions, data-sharing pilots). • As coverage normalises, differentiation will move to assortment curation (ready meals, health-oriented items, regional products) and integration with loyalty/points schemes. 3. Aging and solo households push demand for small-basket, time-saving delivery • Quick commerce use cases are shifting from occasional treats to frequent, small-basket orders aimed at saving time and effort, particularly for solo and older households. Around 34% of Japanese households are single-person households, now the largest category, with an average household size of around 2.23 people. • People aged 65 and above account for roughly 29% of the population, and their number continues to rise, with 36 million seniors and record levels of employment among older people. Consumer-oriented commentary and guides on grocery delivery now explicitly position services as a way to avoid heavy shopping trips and manage smaller, more frequent purchases. • An aging, urban population values reduced physical burden and predictable delivery; smaller households have less storage space and prefer frequent restocking. Falling birth rates and an increasing number of women in full-time work increase the premium on time, encouraging the outsourcing of low-value tasks, such as grocery runs. • Retailers and platforms view older consumers as a significant spending segment and are tailoring their services and communication to this “longevity economy.” • Order patterns are likely to stabilize around frequent, modest-value baskets rather than one-off bulk purchases, shaping network design (with more short-distance trips and tighter delivery radii). • Interfaces and service design may adapt for older users (simplified app flows, phone-assisted ordering, clearer scheduling), making senior households a core quick-commerce segment. Operators that can balance low basket sizes with efficient routing and appropriate fees will gain a structural advantage; others may restrict ultra-fast delivery to dense, high-frequency areas. 4. Operators invest in automation and efficiency to sustain quick commerce economics • Japanese quick-commerce operators are testing automation and new revenue streams to improve unit economics, moving beyond simple “more riders” scaling. Uber Eats has launched robot-delivery pilots in Japan, where autonomous robots, rather than human couriers, fulfill select orders. • Uber Eats Japan is also trialling a “shop and deliver” model, where couriers pick up items inside partner stores, optimising multi-purpose trips. Wolt has strengthened its retail business with new tools, such as the Wolt Picker App, and, at a global level, is building an advertising/retail media business (Wolt Ads), signaling a push to monetize on-app traffic beyond delivery fees relevant to its Japan operations as well. • Rising labour constraints and wage pressures in Japan make purely manpower-driven last-mile models harder to scale. Dense urban areas and established store networks create favourable conditions for automation trials (short routes, predictable paths), making Japan a logical test bed. • Platforms and retailers need additional revenue sources, such as on-app advertising and preferential placements for brands, to offset logistics and discounting costs. • Expect a gradual roll-out of automation in tightly defined zones (university campuses, business districts, new-town developments), not a nationwide shift, but enough to influence cost structures in core cities. As retail media tools mature, a larger share of profit may come from brand budgets rather than purely from consumer delivery fees, aligning Japan with global “retail media” trends. • Operators with advanced technology and data analytics capabilities will gain a competitive edge by optimizing routing, order batching, and promotional targeting, further expanding the performance gap between dominant platforms and smaller competitors. Competitive Landscape Over the next two to four years, Japan’s quick commerce industry is likely to experience heightened competition in areas such as multi-retailer integration, in-app advertising, and technology-led efficiency gains. With rising labor costs and workforce constraints, profitability will depend on automation, advanced analytics, and stronger ecosystem partnerships with retail and payment networks. Consolidation is expected to occur mainly through long-term strategic alliances rather than outright acquisitions. The market is poised to mature into a more interconnected ecosystem that links delivery platforms, established retail operators, and digital infrastructure partners, gradually shifting away from a fragmented structure dominated by new entrants. Current State of the Market • Japan’s quick commerce sector is developing within a structured retail environment dominated by leading convenience store and supermarket chains. Unlike many Western markets that depend on standalone dark-store models, Japan’s expansion is being driven by established delivery platforms extending into rapid fulfillment for groceries, daily necessities, and pharmacy products. • Services such as Uber Eats Japan, Wolt, and Demae-can are central to this growth, collaborating with major retailers like Aeon, Life Corporation, FamilyMart, and Matsumoto Kiyoshi to provide delivery within one hour. Operations remain concentrated in high-density metropolitan areas such as Tokyo, Osaka, and Yokohama, where concentrated demand enables efficient service coverage. Consumer usage patterns indicate that quick commerce is increasingly used for frequent top-up or convenience purchases rather than large grocery stock-ups. Key Players and New Entrants • Japan’s quick commerce market is dominated by Uber Eats Japan, Wolt Japan (a subsidiary of DoorDash), and Demae-can, all of which are expanding their scope beyond restaurant delivery to include retail integration. Major retailers such as Aeon’s My Basket, Life, and Ito-Yokado (part of Seven & i Holdings) have deepened e-commerce partnerships with these platforms to support rapid delivery. • Rakuten Seiyu Netsuper, a joint venture between Rakuten and Walmart, continues to scale its same-day grocery delivery service, positioning it close to the quick commerce segment. At the same time, newer entrants such as Amazon Fresh Japan and Coupang Eats Japan are piloting accelerated fulfillment models, though their operations currently remain limited to major urban centers. Recent Launches, Mergers, and Acquisitions • Recent trends in Japan’s quick commerce market have emphasized strategic collaborations over mergers and acquisitions. In 2024, Life Corporation deepened its partnership with Amazon Japan to expand fresh food delivery across the Kanto region. • Wolt Japan introduced retail-focused digital tools to help partner stores manage inventory and streamline order batching, while Uber Eats began testing autonomous delivery solutions in partnership with robotics companies. Demae-can has likewise reinforced alliances with local retailers and logistics partners to widen its service coverage and enhance operational efficiency. This report provides a detailed data-centric analysis of the quick commerce industry in Japan offering comprehensive coverage of both overall and quick commerce markets. It includes more than 100+ KPIs, covering gross merchandise value, gross merchandise volume, average order value, and order frequency. The report offers an in-depth analysis of quick commerce, including product type, payment mode, age group, location tier, business model, and delivery time. It further categorizes the market by revenue streams (advertising, delivery fee, and subscription-based models). In addition, the analysis captures consumer demographics by age and location alongside behavioral indicators such as subscription uptake and average delivery time. Collectively, these datasets provide a comprehensive view of market size, consumer behavior, and operational efficiency within the quick commerce ecosystem. PayNXT360’s research methodology is based on industry best practices. It's unbiased analysis leverages a proprietary analytics platform to offer a detailed view of emerging business and investment market opportunities.
This report provides a detailed data-driven analysis of the quick commerce market in Japan, focusing on the rapid delivery ecosystem and its growth trajectory. It examines key market segments, operational models, and consumer behavior shaping the evolution of instant delivery services: • Japan Quick Commerce Market Size and Growth Dynamics -- Gross Merchandise Value -- Gross Merchandise Volume -- Average Order Value -- Order Frequency per Year • Japan Quick Commerce Market Segmentation by Product Type -- Groceries and Staples -- Fruits and Vegetables -- Snacks and Beverages -- Personal Care and Hygiene -- Pharmaceuticals and Health Products -- Home Décor -- Clothing and Accessories -- Electronics -- Others • Japan Quick Commerce Market Segmentation by Payment Mode -- Instant Bank Transfer -- Wallets and Digital Payments -- Credit and Debit Cards -- Cash on Delivery • Japan Quick Commerce Market Segmentation by Age Group -- Gen Z (15–25) -- Millennials (26–39) -- Gen X (40–55) -- Baby Boomers (Above 55) • Japan Quick Commerce Market Segmentation by Location Tier -- Tier 1 Cities -- Tier 2 Cities -- Tier 3 Cities • Japan Quick Commerce Market Segmentation by Business Model -- Inventory-led Model -- Hyper-local Model -- Multi-vendor Platform Model -- Others • Japan Quick Commerce Market Segmentation by Delivery Time -- Delivery in 30 Minutes -- Delivery 30–60 Minutes -- Delivery in 3 Hours • Japan Quick Commerce Consumer Behavior and Demographics -- Average Subscription Uptake by Age Group -- Average Subscription Uptake by Location Tier -- Average Subscription Uptake -- Average Delivery Time • Japan Quick Commerce Revenue Structure and Composition -- Advertising Revenue -- Delivery Fee Revenue -- Subscription Revenue • Japan Quick Commerce Operational Metrics by Product Type -- Gross Merchandise Value by Product Type -- Gross Merchandise Volume by Product Type -- Average Order Value by Product Type -- Order Frequency by Product Type • Japan Quick Commerce Operational Metrics by Payment Mode -- Gross Merchandise Value by Payment Mode -- Gross Merchandise Volume by Payment Mode -- Average Order Value by Payment Mode • Japan Quick Commerce Operational Metrics by Age Group -- Gross Merchandise Value by Age Group -- Gross Merchandise Volume by Age Group -- Average Order Value by Age Group • Japan Quick Commerce Operational Metrics by Location Tier -- Gross Merchandise Value by Location Tier -- Gross Merchandise Volume by Location Tier -- Average Order Value by Location Tier -- Order Frequency by Location Tier • Japan Quick Commerce Operational Metrics by Business Model -- Gross Merchandise Value by Business Model -- Gross Merchandise Volume by Business Model -- Average Order Value by Business Model • Japan Quick Commerce Operational Metrics by Delivery Time -- Gross Merchandise Value by Delivery Time -- Gross Merchandise Volume by Delivery Time -- Average Order Value by Delivery Time -- Order Frequency by Delivery Time
• Comprehensive Market Intelligence: Gain a holistic understanding of the overall quick commerce with detailed operational metrics such as gross merchandise value, gross merchandise volume, average order value, and order frequency across key product categories. • Granular Segmentation and Cross-Analysis: Explore the fast-growing quick commerce ecosystem through detailed segmentation by product type, payment mode, age group, location tier, business model, and delivery time, providing data into evolving consumer behavior and purchasing dynamics. • Consumer Behavior and Ecosystem Readiness: Understand how demographics and payment method adoption are shaping consumer preferences and driving the expansion of instant delivery services in both urban and semi-urban markets. • Data-Driven Forecasts and KPI Tracking: Access a comprehensive dataset of 100+ key performance indicators (KPIs) with historical and forecast data through 2029, offering visibility into growth drivers, market trends, and investment opportunities across the quick commerce sector. • Decision-Ready Databook Format: Presented in a structured, data-centric format compatible with analytical and financial modeling, the Databook enables quick commerce companies, retailers, investors, and logistics partners to make informed, evidence-based strategic decisions.
1. About this Report 1.1 Summary 1.2 Methodology 1.3 Definitions 1.4 Disclaimer 2. Japan Quick Commerce Industry Attractiveness 2.1 Japan Quick Commerce – Gross Merchandise Value Trend Analysis, 2020-2029 2.2 Japan Quick Commerce – Gross Merchandise Volume Trend Analysis, 2020-2029 2.3 Japan Quick Commerce – Average Order Value Trend Analysis, 2020-2029 2.4 Japan Quick Commerce – Order Frequency Trend Analysis, 2020-2029 2.5 Japan Quick Commerce – Market Share Analysis by Key Players, 2024 3. Japan Quick Commerce Operational KPIs 3.1 Japan Quick Commerce Revenue and Growth Trend, 2020-2029 3.2 Japan Quick Commerce Revenue Structure, Composition, and Growth Analysis by Segment, 2024 3.2.1 Advertising Revenue, 2020-2029 3.2.2 Delivery Fee Revenue, 2020-2029 3.2.3 Subscription Revenue, 2020-2029 4. Japan Quick Commerce Analysis by Product Type 4.1 Japan Quick Commerce Segment Share by Product Type, 2024 4.2 Japan Quick Commerce Analysis by Groceries & Staples: Market Size and Forecast, 2020-2029 4.2.1 Groceries & Staples- Gross Merchandise Value Trend Analysis, 2020-2029 4.2.2 Groceries & Staples- Gross Merchandise Volume Trend Analysis, 2020-2029 4.2.3 Groceries & Staples- Average Order Value Trend Analysis, 2020-2029 4.2.4 Groceries & Staples- Order Frequency Trend Analysis, 2020-2029 4.3 Japan Quick Commerce Analysis by Fruits & Vegetables: Market Size and Forecast, 2020-2029 4.3.1 Fruits & Vegetables- Gross Merchandise Value Trend Analysis, 2020-2029 4.3.2 Fruits & Vegetables- Gross Merchandise Volume Trend Analysis, 2020-2029 4.3.3 Fruits & Vegetables- Average Order Value Trend Analysis, 2020-2029 4.3.4 Fruits & Vegetables- Order Frequency Trend Analysis, 2020-2029 4.4 Japan Quick Commerce Analysis by Snacks & Beverages: Market Size and Forecast, 2020-2029 4.4.1 Snacks & Beverages- Gross Merchandise Value Trend Analysis, 2020-2029 4.4.2 Snacks & Beverages- Gross Merchandise Volume Trend Analysis, 2020-2029 4.4.3 Snacks & Beverages- Average Order Value Trend Analysis, 2020-2029 4.4.4 Snacks & Beverages- Order Frequency Trend Analysis, 2020-2029 4.5 Japan Quick Commerce Analysis by Personal Care & Hygiene: Market Size and Forecast, 2020-2029 4.5.1 Personal Care & Hygiene- Gross Merchandise Value Trend Analysis, 2020-2029 4.5.2 Personal Care & Hygiene- Gross Merchandise Volume Trend Analysis, 2020-2029 4.5.3 Personal Care & Hygiene- Average Order Value Trend Analysis, 2020-2029 4.5.4 Personal Care & Hygiene- Order Frequency Trend Analysis, 2020-2029 4.6 Japan Quick Commerce Analysis by Pharmaceuticals & Health Products: Market Size and Forecast, 2020-2029 4.6.1 Pharmaceuticals & Health Products- Gross Merchandise Value Trend Analysis, 2020-2029 4.6.2 Pharmaceuticals & Health Products- Gross Merchandise Volume Trend Analysis, 2020-2029 4.6.3 Pharmaceuticals & Health Products- Average Order Value Trend Analysis, 2020-2029 4.6.4 Pharmaceuticals & Health Products- Order Frequency Trend Analysis, 2020-2029 4.7 Japan Quick Commerce Analysis by Home Décor: Market Size and Forecast, 2020-2029 4.7.1 Home Décor- Gross Merchandise Value Trend Analysis, 2020-2029 4.7.2 Home Décor- Gross Merchandise Volume Trend Analysis, 2020-2029 4.7.3 Home Décor- Average Order Value Trend Analysis, 2020-2029 4.7.4 Home Décor- Order Frequency Trend Analysis, 2020-2029 4.8 Japan Quick Commerce Analysis by Clothing & Accessories: Market Size and Forecast, 2020-2029 4.8.1 Clothing & Accessories- Gross Merchandise Value Trend Analysis, 2020-2029 4.8.2 Clothing & Accessories- Gross Merchandise Volume Trend Analysis, 2020-2029 4.8.3 Clothing & Accessories- Average Order Value Trend Analysis, 2020-2029 4.8.4 Clothing & Accessories- Order Frequency Trend Analysis, 2020-2029 4.9 Japan Quick Commerce Analysis by Electronics: Market Size and Forecast, 2020-2029 4.9.1 Electronics- Gross Merchandise Value Trend Analysis, 2020-2029 4.9.2 Electronics- Gross Merchandise Volume Trend Analysis, 2020-2029 4.9.3 Electronics- Average Order Value Trend Analysis, 2020-2029 4.9.4 Electronics- Order Frequency Trend Analysis, 2020-2029 4.10 Japan Quick Commerce Analysis by Other Product Category: Market Size and Forecast, 2020-2029 4.10.1 Other Product Category- Gross Merchandise Value Trend Analysis, 2020-2029 4.10.2 Other Product Category- Gross Merchandise Volume Trend Analysis, 2020-2029 4.10.3 Other Product Category- Average Order Value Trend Analysis, 2020-2029 4.10.4 Other Product Category- Order Frequency Trend Analysis, 2020-2029 5. Japan Quick Commerce Analysis by Payment Method 5.1 Japan Quick Commerce Segment Share by Payment Method, 2020-2029 5.2 Japan Quick Commerce Analysis by Instant Bank Transfer: Market Size and Forecast, 2020-2029 5.2.1 Instant Bank Transfer- Gross Merchandise Value Trend Analysis, 2020-2029 5.2.2 Instant Bank Transfer- Gross Merchandise Volume Trend Analysis, 2020-2029 5.2.3 Instant Bank Transfer- Average Order Value Trend Analysis, 2020-2029 5.3 Japan Quick Commerce Analysis by Wallets & Digital Payments: Market Size and Forecast, 2020-2029 5.3.1 Wallets & Digital Payments- Gross Merchandise Value Trend Analysis, 2020-2029 5.3.2 Wallets & Digital Payments- Gross Merchandise Volume Trend Analysis, 2020-2029 5.3.3 Wallets & Digital Payments- Average Order Value Trend Analysis, 2020-2029 5.4 Japan Quick Commerce Analysis by Credit & Debit Cards: Market Size and Forecast, 2020-2029 5.4.1 Credit & Debit Cards- Gross Merchandise Value Trend Analysis, 2020-2029 5.4.2 Credit & Debit Cards- Gross Merchandise Volume Trend Analysis, 2020-2029 5.4.3 Credit & Debit Cards- Average Order Value Trend Analysis, 2020-2029 5.5 Japan Quick Commerce Analysis by Cash on Delivery: Market Size and Forecast, 2020-2029 5.5.1 Cash on Delivery- Gross Merchandise Value Trend Analysis, 2020-2029 5.5.2 Cash on Delivery- Gross Merchandise Volume Trend Analysis, 2020-2029 5.5.3 Cash on Delivery- Average Order Value Trend Analysis, 2020-2029 6. Japan Quick Commerce Analysis by Age Group 6.1 Japan Quick Commerce Segment Share by Age Group, 2024 6.2 Japan Quick Commerce Analysis by Gen Z (15–25) Age Group: Market Size and Forecast, 2020-2029 6.2.1 Gen Z (15–25) Age Group- Gross Merchandise Value Trend Analysis, 2020-2029 6.2.2 Gen Z (15–25) Age Group- Gross Merchandise Volume Trend Analysis, 2020-2029 6.2.3 Gen Z (15–25) Age Group- Average Order Value Trend Analysis, 2020-2029 6.3 Japan Quick Commerce Analysis by Millennials (26–39) Age Group: Market Size and Forecast, 2020-2029 6.3.1 Millennials (26–39) Age Group- Gross Merchandise Value Trend Analysis, 2020-2029 6.3.2 Millennials (26–39) Age Group- Gross Merchandise Volume Trend Analysis, 2020-2029 6.3.3 Millennials (26–39) Age Group- Average Order Value Trend Analysis, 2020-2029 6.4 Japan Quick Commerce Analysis by Gen X (40–55) Age Group: Market Size and Forecast, 2020-2029 6.4.1 Gen X (40–55) Age Group- Gross Merchandise Value Trend Analysis, 2020-2029 6.4.2 Gen X (40–55) Age Group- Gross Merchandise Volume Trend Analysis, 2020-2029 6.4.3 Gen X (40–55) Age Group- Average Order Value Trend Analysis, 2020-2029 6.5 Japan Quick Commerce Analysis by Baby Boomers (Above 55+) Age Group: Market Size and Forecast, 2020-2029 6.5.1 Baby Boomers (Above 55+) Age Group- Gross Merchandise Value Trend Analysis, 2020-2029 6.5.2 Baby Boomers (Above 55+) Age Group- Gross Merchandise Volume Trend Analysis, 2020-2029 6.5.3 Baby Boomers (Above 55+) Age Group- Average Order Value Trend Analysis, 2020-2029 7. Japan Quick Commerce Analysis by Location 7.1 Japan Quick Commerce Segment Share by Location, 2020-2029 7.2 Japan Quick Commerce Analysis by Tier 1 Cities: Market Size and Forecast, 2020-2029 7.2.1 Tier 1 Cities- Gross Merchandise Value Trend Analysis, 2020-2029 7.2.2 Tier 1 Cities- Gross Merchandise Volume Trend Analysis, 2020-2029 7.2.3 Tier 1 Cities- Average Order Value Trend Analysis, 2020-2029 7.2.4 Tier 1 Cities- Order Frequency Trend Analysis, 2020-2029 7.3 Japan Quick Commerce Analysis by Tier 2 Cities: Market Size and Forecast, 2020-2029 7.3.1 Tier 2 Cities- Gross Merchandise Value Trend Analysis, 2020-2029 7.3.2 Tier 2 Cities- Gross Merchandise Volume Trend Analysis, 2020-2029 7.3.3 Tier 2 Cities- Average Order Value Trend Analysis, 2020-2029 7.3.4 Tier 2 Cities- Order Frequency Trend Analysis, 2020-2029 7.4 Japan Quick Commerce Analysis by Tier 3 Cities: Market Size and Forecast, 2020-2029 7.4.1 Tier 3 Cities- Gross Merchandise Value Trend Analysis, 2020-2029 7.4.2 Tier 3 Cities- Gross Merchandise Volume Trend Analysis, 2020-2029 7.4.3 Tier 3 Cities- Average Order Value Trend Analysis, 2020-2029 7.4.4 Tier 3 Cities- Order Frequency Trend Analysis, 2020-2029 8. Japan Quick Commerce Analysis by Business Model 8.1 Japan Quick Commerce Segment Share by Business Model, 2024 8.2 Japan Quick Commerce Analysis by Inventory Model: Market Size and Forecast, 2020-2029 8.2.1 Inventory Model- Gross Merchandise Value Trend Analysis, 2020-2029 8.2.2 Inventory Model- Gross Merchandise Volume Trend Analysis, 2020-2029 8.2.3 Inventory Model- Average Order Value Trend Analysis, 2020-2029 8.3 Japan Quick Commerce Analysis by Hyperlocal Model: Market Size and Forecast, 2020-2029 8.3.1 Hyperlocal Model- Gross Merchandise Value Trend Analysis, 2020-2029 8.3.2 Hyperlocal Model- Gross Merchandise Volume Trend Analysis, 2020-2029 8.3.3 Hyperlocal Model- Average Order Value Trend Analysis, 2020-2029 8.4 Japan Quick Commerce Analysis by Multi-vendor Platform Model: Market Size and Forecast, 2020-2029 8.4.1 Multi-vendor Platform Model- Gross Merchandise Value Trend Analysis, 2020-2029 8.4.2 Multi-vendor Platform Model- Gross Merchandise Volume Trend Analysis, 2020-2029 8.4.3 Multi-vendor Platform Model- Average Order Value Trend Analysis, 2020-2029 8.5 Japan Quick Commerce Analysis by Other Business Models: Market Size and Forecast, 2020-2029 8.5.1 Other Business Models- Gross Merchandise Value Trend Analysis, 2020-2029 8.5.2 Other Business Models- Gross Merchandise Volume Trend Analysis, 2020-2029 8.5.3 Other Business Models- Average Order Value Trend Analysis, 2020-2029 9. Japan Quick Commerce Analysis by Delivery Time 9.1 Japan Quick Commerce Segment Share by Delivery Time, 2020-2029 9.2 Japan Quick Commerce Analysis by Delivery Time In 30 Minutes: Market Size and Forecast, 2020-2029 9.2.1 Delivery Time In 30 Minutes- Gross Merchandise Value Trend Analysis, 2020-2029 9.2.2 Delivery Time In 30 Minutes- Gross Merchandise Volume Trend Analysis, 2020-2029 9.2.3 Delivery Time In 30 Minutes- Average Order Value Trend Analysis, 2020-2029 9.2.4 Delivery Time In 30 Minutes- Order Frequency Trend Analysis, 2020-2029 9.3 Japan Quick Commerce Analysis by Delivery Time 30–60 Minutes: Market Size and Forecast, 2020-2029 9.3.1 Delivery Time 30–60 Minutes- Gross Merchandise Value Trend Analysis, 2020-2029 9.3.2 Delivery Time 30–60 Minutes- Gross Merchandise Volume Trend Analysis, 2020-2029 9.3.3 Delivery Time 30–60 Minutes- Average Order Value Trend Analysis, 2020-2029 9.3.4 Delivery Time 30–60 Minutes- Order Frequency Trend Analysis, 2020-2029 9.4 Japan Quick Commerce Analysis by Delivery Time In 3 Hours: Market Size and Forecast, 2020-2029 9.4.1 Delivery Time In 3 Hours- Gross Merchandise Value Trend Analysis, 2020-2029 9.4.2 Delivery Time In 3 Hours- Gross Merchandise Volume Trend Analysis, 2020-2029 9.4.3 Delivery Time In 3 Hours- Average Order Value Trend Analysis, 2020-2029 9.4.4 Delivery Time In 3 Hours- Order Frequency Trend Analysis, 2020-2029 10. Japan Quick Commerce Consumer Behaviour and Adoption 10.1 Japan Quick Commerce- Average Subscription Uptake, 2024 10.2 Japan Quick Commerce- Average Subscription Uptake by Age Group, 2024 10.3 Japan Quick Commerce- Average Subscription Uptake by Location, 2024 10.4 Japan Quick Commerce- Average Delivery Time, 2024 11. Further Reading 11.1 About PayNXT360 11.2 Related Research
Table 1: Japan Quick Commerce – Gross Merchandise Value (US$ Million), 2020–2029 Table 2: Japan Quick Commerce – Gross Merchandise Volume (Millions), 2020–2029 Table 3: Japan Quick Commerce – Average Order Value (US$), 2020–2029 Table 4: Japan Quick Commerce – Order Frequency (Orders per Year), 2020–2029 Table 5: Japan Quick Commerce Revenue and Growth Trend (US$ Million), 2020–2029 Table 6: Advertising Revenue (US$ Million), 2020–2029 Table 7: Delivery Fee Revenue (US$ Million), 2020–2029 Table 8: Subscription Revenue (US$ Million), 2020–2029 Table 9: Groceries & Staples – Gross Merchandise Value (US$ Million), 2020–2029 Table 10: Groceries & Staples – Gross Merchandise Volume (Millions), 2020–2029 Table 11: Groceries & Staples – Average Order Value (US$), 2020–2029 Table 12: Groceries & Staples – Order Frequency (Orders per Year), 2020–2029 Table 13: Fruits & Vegetables – Gross Merchandise Value (US$ Million), 2020–2029 Table 14: Fruits & Vegetables – Gross Merchandise Volume (Millions), 2020–2029 Table 15: Fruits & Vegetables – Average Order Value (US$), 2020–2029 Table 16: Fruits & Vegetables – Order Frequency (Orders per Year), 2020–2029 Table 17: Snacks & Beverages – Gross Merchandise Value (US$ Million), 2020–2029 Table 18: Snacks & Beverages – Gross Merchandise Volume (Millions), 2020–2029 Table 19: Snacks & Beverages – Average Order Value (US$), 2020–2029 Table 20: Snacks & Beverages – Order Frequency (Orders per Year), 2020–2029 Table 21: Personal Care & Hygiene – Gross Merchandise Value (US$ Million), 2020–2029 Table 22: Personal Care & Hygiene – Gross Merchandise Volume (Millions), 2020–2029 Table 23: Personal Care & Hygiene – Average Order Value (US$), 2020–2029 Table 24: Personal Care & Hygiene – Order Frequency (Orders per Year), 2020–2029 Table 25: Pharmaceuticals & Health Products – Gross Merchandise Value (US$ Million), 2020–2029 Table 26: Pharmaceuticals & Health Products – Gross Merchandise Volume (Millions), 2020–2029 Table 27: Pharmaceuticals & Health Products – Average Order Value (US$), 2020–2029 Table 28: Pharmaceuticals & Health Products – Order Frequency (Orders per Year), 2020–2029 Table 29: Home Décor – Gross Merchandise Value (US$ Million), 2020–2029 Table 30: Home Décor – Gross Merchandise Volume (Millions), 2020–2029 Table 31: Home Décor – Average Order Value (US$), 2020–2029 Table 32: Home Décor – Order Frequency (Orders per Year), 2020–2029 Table 33: Clothing & Accessories – Gross Merchandise Value (US$ Million), 2020–2029 Table 34: Clothing & Accessories – Gross Merchandise Volume (Millions), 2020–2029 Table 35: Clothing & Accessories – Average Order Value (US$), 2020–2029 Table 36: Clothing & Accessories – Order Frequency (Orders per Year), 2020–2029 Table 37: Electronics – Gross Merchandise Value (US$ Million), 2020–2029 Table 38: Electronics – Gross Merchandise Volume (Millions), 2020–2029 Table 39: Electronics – Average Order Value (US$), 2020–2029 Table 40: Electronics – Order Frequency (Orders per Year), 2020–2029 Table 41: Others – Gross Merchandise Value (US$ Million), 2020–2029 Table 42: Others – Gross Merchandise Volume (Millions), 2020–2029 Table 43: Others – Average Order Value (US$), 2020–2029 Table 44: Others – Order Frequency (Orders per Year), 2020–2029 Table 45: Instant Bank Transfer – Gross Merchandise Value (US$ Million), 2020–2029 Table 46: Instant Bank Transfer – Gross Merchandise Volume (Millions), 2020–2029 Table 47: Instant Bank Transfer – Average Order Value (US$), 2020–2029 Table 48: Wallets & Digital Payments – Gross Merchandise Value (US$ Million), 2020–2029 Table 49: Wallets & Digital Payments – Gross Merchandise Volume (Millions), 2020–2029 Table 50: Wallets & Digital Payments – Average Order Value (US$), 2020–2029 Table 51: Credit & Debit Card – Gross Merchandise Value (US$ Million), 2020–2029 Table 52: Credit & Debit Card – Gross Merchandise Volume (Millions), 2020–2029 Table 53: Credit & Debit Card – Average Order Value (US$), 2020–2029 Table 54: Cash on Delivery – Gross Merchandise Value (US$ Million), 2020–2029 Table 55: Cash on Delivery – Gross Merchandise Volume (Millions), 2020–2029 Table 56: Cash on Delivery – Average Order Value (US$), 2020–2029 Table 57: Gen Z (15–25) Age Group – Gross Merchandise Value (US$ Million), 2020–2029 Table 58: Gen Z (15–25) Age Group – Gross Merchandise Volume (Millions), 2020–2029 Table 59: Gen Z (15–25) Age Group – Average Order Value (US$), 2020–2029 Table 60: Millennials (26–39) Age Group – Gross Merchandise Value (US$ Million), 2020–2029 Table 61: Millennials (26–39) Age Group – Gross Merchandise Volume (Millions), 2020–2029 Table 62: Millennials (26–39) Age Group – Average Order Value (US$), 2020–2029 Table 63: Gen X (40–55) Age Group – Gross Merchandise Value (US$ Million), 2020–2029 Table 64: Gen X (40–55) Age Group – Gross Merchandise Volume (Millions), 2020–2029 Table 65: Gen X (40–55) Age Group – Average Order Value (US$), 2020–2029 Table 66: Baby Boomers (Above 55+) Age Group – Gross Merchandise Value (US$ Million), 2020–2029 Table 67: Baby Boomers (Above 55+) Age Group – Gross Merchandise Volume (Millions), 2020–2029 Table 68: Baby Boomers (Above 55+) Age Group – Average Order Value (US$), 2020–2029 Table 69: Tier 1 Cities – Gross Merchandise Value (US$ Million), 2020–2029 Table 70: Tier 1 Cities – Gross Merchandise Volume (Millions), 2020–2029 Table 71: Tier 1 Cities – Average Order Value (US$), 2020–2029 Table 72: Tier 1 Cities – Order Frequency (Orders per Year), 2020–2029 Table 73: Tier 2 Cities – Gross Merchandise Value (US$ Million), 2020–2029 Table 74: Tier 2 Cities – Gross Merchandise Volume (Millions), 2020–2029 Table 75: Tier 2 Cities – Average Order Value (US$), 2020–2029 Table 76: Tier 2 Cities – Order Frequency (Orders per Year), 2020–2029 Table 77: Tier 3 Cities – Gross Merchandise Value (US$ Million), 2020–2029 Table 78: Tier 3 Cities – Gross Merchandise Volume (Millions), 2020–2029 Table 79: Tier 3 Cities – Average Order Value (US$), 2020–2029 Table 80: Tier 3 Cities – Order Frequency (Orders per Year), 2020–2029 Table 81: Inventory Model – Gross Merchandise Value (US$ Million), 2020–2029 Table 82: Inventory Model – Gross Merchandise Volume (Millions), 2020–2029 Table 83: Inventory Model – Average Order Value (US$), 2020–2029 Table 84: Hyperlocal Model – Gross Merchandise Value (US$ Million), 2020–2029 Table 85: Hyperlocal Model – Gross Merchandise Volume (Millions), 2020–2029 Table 86: Hyperlocal Model – Average Order Value (US$), 2020–2029 Table 87: Multi-vendor Platform Model – Gross Merchandise Value (US$ Million), 2020–2029 Table 88: Multi-vendor Platform Model – Gross Merchandise Volume (Millions), 2020–2029 Table 89: Multi-vendor Platform Model – Average Order Value (US$), 2020–2029 Table 90: Others – Gross Merchandise Value (US$ Million), 2020–2029 Table 91: Others – Gross Merchandise Volume (Millions), 2020–2029 Table 92: Others – Average Order Value (US$), 2020–2029 Table 93: Delivery Time in 30 Minutes – Gross Merchandise Value (US$ Million), 2020–2029 Table 94: Delivery Time in 30 Minutes – Gross Merchandise Volume (Millions), 2020–2029 Table 95: Delivery Time in 30 Minutes – Average Order Value (US$), 2020–2029 Table 96: Delivery Time in 30 Minutes – Order Frequency (Orders per Year), 2020–2029 Table 97: Delivery Time 30–60 Minutes – Gross Merchandise Value (US$ Million), 2020–2029 Table 98: Delivery Time 30–60 Minutes – Gross Merchandise Volume (Millions), 2020–2029 Table 99: Delivery Time 30–60 Minutes – Average Order Value (US$), 2020–2029 Table 100: Delivery Time 30–60 Minutes – Order Frequency (Orders per Year), 2020–2029 Table 101: Delivery Time in 3 Hours – Gross Merchandise Value (US$ Million), 2020–2029 Table 102: Delivery Time in 3 Hours – Gross Merchandise Volume (Millions), 2020–2029 Table 103: Delivery Time in 3 Hours – Average Order Value (US$), 2020–2029 Table 104: Delivery Time in 3 Hours – Order Frequency (Orders per Year), 2020–2029
Figure 1: PayNXT360’s Methodology Framework Figure 2: Japan Quick Commerce – Gross Merchandise Value (US$ Million), 2020–2029 Figure 3: Japan Quick Commerce – Gross Merchandise Volume (Millions), 2020–2029 Figure 4: Japan Quick Commerce – Average Order Value (US$), 2020–2029 Figure 5: Japan Quick Commerce – Order Frequency (Orders per Year), 2020–2029 Figure 6: Japan Quick Commerce – Market Share Analysis by Key Players (%), 2024 Figure 7: Japan Quick Commerce Revenue and Growth Trend (US$ Million), 2020–2029 Figure 8: Japan Quick Commerce Revenue Structure, Composition, and Growth Analysis by Segment (US$ Million), 2024 Figure 9: Advertising Revenue (US$ Million), 2020–2029 Figure 10: Delivery Fee Revenue (US$ Million), 2020–2029 Figure 11: Subscription Revenue (US$ Million), 2020–2029 Figure 12: Japan Quick Commerce Segment Share by Product Type, 2024 Figure 13: Groceries & Staples – Gross Merchandise Value (US$ Million), 2020–2029 Figure 14: Groceries & Staples – Gross Merchandise Volume (Millions), 2020–2029 Figure 15: Groceries & Staples – Average Order Value (US$), 2020–2029 Figure 16: Groceries & Staples – Order Frequency (Orders per Year), 2020–2029 Figure 17: Fruits & Vegetables – Gross Merchandise Value (US$ Million), 2020–2029 Figure 18: Fruits & Vegetables – Gross Merchandise Volume (Millions), 2020–2029 Figure 19: Fruits & Vegetables – Average Order Value (US$), 2020–2029 Figure 20: Fruits & Vegetables – Order Frequency (Orders per Year), 2020–2029 Figure 21: Snacks & Beverages – Gross Merchandise Value (US$ Million), 2020–2029 Figure 22: Snacks & Beverages – Gross Merchandise Volume (Millions), 2020–2029 Figure 23: Snacks & Beverages – Average Order Value (US$), 2020–2029 Figure 24: Snacks & Beverages – Order Frequency (Orders per Year), 2020–2029 Figure 25: Personal Care & Hygiene – Gross Merchandise Value (US$ Million), 2020–2029 Figure 26: Personal Care & Hygiene – Gross Merchandise Volume (Millions), 2020–2029 Figure 27: Personal Care & Hygiene – Average Order Value (US$), 2020–2029 Figure 28: Personal Care & Hygiene – Order Frequency (Orders per Year), 2020–2029 Figure 29: Pharmaceuticals & Health Products – Gross Merchandise Value (US$ Million), 2020–2029 Figure 30: Pharmaceuticals & Health Products – Gross Merchandise Volume (Millions), 2020–2029 Figure 31: Pharmaceuticals & Health Products – Average Order Value (US$), 2020–2029 Figure 32: Pharmaceuticals & Health Products – Order Frequency (Orders per Year), 2020–2029 Figure 33: Home Décor – Gross Merchandise Value (US$ Million), 2020–2029 Figure 34: Home Décor – Gross Merchandise Volume (Millions), 2020–2029 Figure 35: Home Décor – Average Order Value (US$), 2020–2029 Figure 36: Home Décor – Order Frequency (Orders per Year), 2020–2029 Figure 37: Clothing & Accessories – Gross Merchandise Value (US$ Million), 2020–2029 Figure 38: Clothing & Accessories – Gross Merchandise Volume (Millions), 2020–2029 Figure 39: Clothing & Accessories – Average Order Value (US$), 2020–2029 Figure 40: Clothing & Accessories – Order Frequency (Orders per Year), 2020–2029 Figure 41: Electronics – Gross Merchandise Value (US$ Million), 2020–2029 Figure 42: Electronics – Gross Merchandise Volume (Millions), 2020–2029 Figure 43: Electronics – Average Order Value (US$), 2020–2029 Figure 44: Electronics – Order Frequency (Orders per Year), 2020–2029 Figure 45: Other Product Category – Gross Merchandise Value (US$ Million), 2020–2029 Figure 46: Other Product Category – Gross Merchandise Volume (Millions), 2020–2029 Figure 47: Other Product Category – Average Order Value (US$), 2020–2029 Figure 48: Other Product Category – Order Frequency (Orders per Year), 2020–2029 Figure 49: Japan Quick Commerce Segment Share by Payment Method, 2024 Figure 50: Instant Bank Transfer – Gross Merchandise Value (US$ Million), 2020–2029 Figure 51: Instant Bank Transfer – Gross Merchandise Volume (Millions), 2020–2029 Figure 52: Instant Bank Transfer – Average Order Value (US$), 2020–2029 Figure 53: Wallets & Digital Payments – Gross Merchandise Value (US$ Million), 2020–2029 Figure 54: Wallets & Digital Payments – Gross Merchandise Volume (Millions), 2020–2029 Figure 55: Wallets & Digital Payments – Average Order Value (US$), 2020–2029 Figure 56: Credit & Debit Cards – Gross Merchandise Value (US$ Million), 2020–2029 Figure 57: Credit & Debit Cards – Gross Merchandise Volume (Millions), 2020–2029 Figure 58: Credit & Debit Cards – Average Order Value (US$), 2020–2029 Figure 59: Cash on Delivery – Gross Merchandise Value (US$ Million), 2020–2029 Figure 60: Cash on Delivery – Gross Merchandise Volume (Millions), 2020–2029 Figure 61: Cash on Delivery – Average Order Value (US$), 2020–2029 Figure 62: Japan Quick Commerce Segment Share by Age Group, 2024 Figure 63: Gen Z (15–25) Age Group – Gross Merchandise Value (US$ Million), 2020–2029 Figure 64: Gen Z (15–25) Age Group – Gross Merchandise Volume (Millions), 2020–2029 Figure 65: Gen Z (15–25) Age Group – Average Order Value (US$), 2020–2029 Figure 66: Millennials (26–39) Age Group – Gross Merchandise Value (US$ Million), 2020–2029 Figure 67: Millennials (26–39) Age Group – Gross Merchandise Volume (Millions), 2020–2029 Figure 68: Millennials (26–39) Age Group – Average Order Value (US$), 2020–2029 Figure 69: Gen X (40–55) Age Group – Gross Merchandise Value (US$ Million), 2020–2029 Figure 70: Gen X (40–55) Age Group – Gross Merchandise Volume (Millions), 2020–2029 Figure 71: Gen X (40–55) Age Group – Average Order Value (US$), 2020–2029 Figure 72: Baby Boomers (Above 55+) Age Group – Gross Merchandise Value (US$ Million), 2020–2029 Figure 73: Baby Boomers (Above 55+) Age Group – Gross Merchandise Volume (Millions), 2020–2029 Figure 74: Baby Boomers (Above 55+) Age Group – Average Order Value (US$), 2020–2029 Figure 75: Japan Quick Commerce Segment Share by Location, 2024 Figure 76: Tier 1 Cities – Gross Merchandise Value (US$ Million), 2020–2029 Figure 77: Tier 1 Cities – Gross Merchandise Volume (Millions), 2020–2029 Figure 78: Tier 1 Cities – Average Order Value (US$), 2020–2029 Figure 79: Tier 1 Cities – Order Frequency (Orders per Year), 2020–2029 Figure 80: Tier 2 Cities – Gross Merchandise Value (US$ Million), 2020–2029 Figure 81: Tier 2 Cities – Gross Merchandise Volume (Millions), 2020–2029 Figure 82: Tier 2 Cities – Average Order Value (US$), 2020–2029 Figure 83: Tier 2 Cities – Order Frequency (Orders per Year), 2020–2029 Figure 84: Tier 3 Cities – Gross Merchandise Value (US$ Million), 2020–2029 Figure 85: Tier 3 Cities – Gross Merchandise Volume (Millions), 2020–2029 Figure 86: Tier 3 Cities – Average Order Value (US$), 2020–2029 Figure 87: Tier 3 Cities – Order Frequency (Orders per Year), 2020–2029 Figure 88: Japan Quick Commerce Segment Share by Business Model, 2024 Figure 89: Inventory Model – Gross Merchandise Value (US$ Million), 2020–2029 Figure 90: Inventory Model – Gross Merchandise Volume (Millions), 2020–2029 Figure 91: Inventory Model – Average Order Value (US$), 2020–2029 Figure 92: Hyperlocal Model – Gross Merchandise Value (US$ Million), 2020–2029 Figure 93: Hyperlocal Model – Gross Merchandise Volume (Millions), 2020–2029 Figure 94: Hyperlocal Model – Average Order Value (US$), 2020–2029 Figure 95: Multi-vendor Platform Model – Gross Merchandise Value (US$ Million), 2020–2029 Figure 96: Multi-vendor Platform Model – Gross Merchandise Volume (Millions), 2020–2029 Figure 97: Multi-vendor Platform Model – Average Order Value (US$), 2020–2029 Figure 98: Other Business Models – Gross Merchandise Value (US$ Million), 2020–2029 Figure 99: Other Business Models – Gross Merchandise Volume (Millions), 2020–2029 Figure 100: Other Business Models – Average Order Value (US$), 2020–2029 Figure 101: Japan Quick Commerce Segment Share by Delivery Time, 2024 Figure 102: Delivery Time in 30 Minutes – Gross Merchandise Value (US$ Million), 2020–2029 Figure 103: Delivery Time in 30 Minutes – Gross Merchandise Volume (Millions), 2020–2029 Figure 104: Delivery Time in 30 Minutes – Average Order Value (US$), 2020–2029 Figure 105: Delivery Time in 30 Minutes – Order Frequency (Orders per Year), 2020–2029 Figure 106: Delivery Time 30–60 Minutes – Gross Merchandise Value (US$ Million), 2020–2029 Figure 107: Delivery Time 30–60 Minutes – Gross Merchandise Volume (Millions), 2020–2029 Figure 108: Delivery Time 30–60 Minutes – Average Order Value (US$), 2020–2029 Figure 109: Delivery Time 30–60 Minutes – Order Frequency (Orders per Year), 2020–2029 Figure 110: Delivery Time in 3 Hours – Gross Merchandise Value (US$ Million), 2020–2029 Figure 111: Delivery Time in 3 Hours – Gross Merchandise Volume (Millions), 2020–2029 Figure 112: Delivery Time in 3 Hours – Average Order Value (US$), 2020–2029 Figure 113: Delivery Time in 3 Hours – Order Frequency (Orders per Year), 2020–2029 Figure 114: Japan Quick Commerce – Average Subscription Uptake, 2024 Figure 115: Japan Quick Commerce – Average Subscription Uptake by Age Group, 2024 Figure 116: Japan Quick Commerce – Average Subscription Uptake by Location, 2024 Figure 117: Japan Quick Commerce – Average Delivery Time, 2024
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