According to PayNXT360, the quick commerce market in Indonesia is expected to grow by 7.8% annually, reaching US$1,375.1 million by 2025. The quick commerce market in the country has experienced robu...
According to PayNXT360, the quick commerce market in Indonesia is expected to grow by 7.8% annually, reaching US$1,375.1 million by 2025. The quick commerce market in the country has experienced robust growth during 2020-2024, achieving a CAGR of 7.2%. This upward trajectory is expected to continue, with the market forecast to grow at a CAGR of 7.6% from 2025 to 2029. By the end of 2029, the quick commerce market is projected to expand from its 2024 value of US$1,275.1 million to approximately US$1,839.8 million. Key Trends & Drivers 1. Super-apps consolidate demand for quick commerce • Quick commerce in Indonesia is increasingly routed through a small set of super-apps mainly Gojek (GoFood/GoMart), Grab (GrabFood/GrabMart), and Shopee (ShopeeFood, Shopee’s in-app grocery offers). Recent consumer surveys in 2025 show these three apps dominate online food delivery usage across generations, with GoFood, GrabFood and ShopeeFood consistently ranking as the most frequently used platforms. At the same time, GoMart positions itself as an on-demand grocery and convenience delivery service embedded in the Gojek app, rather than a standalone grocery app. • Indonesia’s e-commerce and digital services market is highly concentrated around a few large ecosystems (GoTo, Grab, Sea/Shopee, and now TikTok-Tokopedia), which already aggregate payments, logistics and user traffic. Makes it easier for consumers to add “under-one-hour delivery” for meals and essentials without installing new apps. • Online food and beverage spending has grown significantly, with 2024 witnessing a notable increase in app-based food orders, further solidifying the habit of on-demand delivery. Younger users, in particular, report a high frequency of use of ShopeeFood and GoFood, reinforcing the super-apps’ role as the default route to quick commerce for daily needs. • Quick commerce is likely to become even more closely tied to these ecosystems, rather than relying on independent apps. New offerings (express grocery, pharmacy, convenience items, cross-selling from marketplaces) will likely be launched as additional tiles in existing super-apps. • Market power is expected to concentrate among a few major platforms that manage customer discovery, data, and payment ecosystems. This concentration could limit smaller merchants’ leverage, compelling them to accept tighter commission structures and reduced promotional flexibility. For retailers and FMCG brands, “being visible” in quick commerce will increasingly mean negotiating placements and campaigns inside GoFood/GoMart, Grab, and Shopee rather than building independent demand. 2. Grocery and convenience chains build their own quick-commerce rails • Indonesia’s largest minimarket chains (Alfamart, Indomaret) and some supermarkets are no longer relying solely on third-party super-apps; they are investing in their own apps and last-mile capabilities, offering same-day or instant delivery. Alfamart’s Alfagift platform provides instant or same-day delivery from nearby outlets, combining loyalty rewards with periodic free shipping promotions. Similarly, Indomaret operates its Klik Indomaret and Klik Indomaret Xtra apps as online supermarket extensions, offering same-day and scheduled delivery services backed by its extensive network of stores and distribution centers. Studies on these apps in 2025 highlight how they are used together with digital payments to influence purchase decisions and loyalty. • Convenience chains are facing declining foot traffic in some urban locations and are utilizing online channels to maintain volume while expanding into smaller cities. A recent analysis of urban convenience stores has noted that players like Alfamart and Indomaret are closing underperforming outlets, expanding into new areas, and strengthening their online channels to recapture demand digitally. • Their dense store networks provide a natural micro-fulfilment grid for same-day or <2-hour deliveries, often at lower incremental cost than dark-store-only models. App-based loyalty and integrated wallets make it easier to run targeted promotions and bundle offline and online benefits, which academic and practitioner case studies in 2025 identify as key levers for repeat purchases in these retail apps. • Quick commerce in Indonesia is likely to become increasingly “store-led”: many rapid deliveries in major cities may originate from nearby Alfamart/Indomaret outlets, which fulfill orders placed either via their own apps or through platform partners (Grab, Gojek, Shopee). • This will raise the bar for new pure-play dark-store players, which must match the incumbents’ coverage and procurement efficiency without the same offline base. For FMCG companies, assortment, shelf visibility, and promo planning inside Alfagift and Klik Indomaret will become as important as in-store shelf space, since the same networks now drive both offline and quick-commerce sales. 3. Quick-commerce models pivot from growth to profitability and selective scaling • The early “grow at any cost” phase of Indonesian quick commerce has cooled. A 2025 academic study on the “rise and fall” of quick commerce in Indonesia documents how services like Astro and Tokopedia Now expanded rapidly in Jakarta and surrounding areas during and after the pandemic, but then faced funding constraints and rising competitive pressure, leading to closures or pivots for some players. Tokopedia, for example, ceased operations in 2024, with later analysis noting that GoTo shifted its focus toward on-demand services, such as GoMart, instead. At the same time, surviving players are attracting more targeted capital: Astro is reportedly raising fresh funding in 2025, led by a US tech giant, alongside an additional round led by Amazon later in the year. • Following the global tech market correction, investors have become more cautious, leading to reduced capital availability for unprofitable ultra-fast delivery models. Research from 2025 indicates that funding decisions now place greater emphasis on unit economics, prompting companies to streamline operations and withdraw from non-viable business formats. • Competition from super-apps and incumbent retailers (with cheaper customer acquisition via existing user bases and store networks) makes it difficult for standalone 15-minute delivery players to reach sustainable scale. Broader e-commerce competition including TikTok-Tokopedia and Shopee, has squeezed margins and attention, forcing conglomerates like GoTo to re-prioritise which quick-commerce formats they continue to support. • Quick commerce is likely to consolidate around a smaller set of well-capitalised players (super-apps, a few specialised operators like Astro, and large retailers’ own apps). Expansion will be more selective by city and use case, rather than blanket nationwide rollouts. Service promises may shift from ultra-fast “15 minutes” towards more flexible same-day or time-window delivery to protect margins, especially outside core metropolitan areas. • Investors and boards will judge quick-commerce initiatives more on their contribution to ecosystem profitability (such as cross-selling, higher frequency, and ad revenue) than on headline growth alone, which will moderate the earlier explosive expansion. 4. Quick commerce becomes embedded in everyday food and household consumption • Quick commerce is increasingly used not just for occasional restaurant meals, but also for everyday food and household tasks topping up staples, ordering snacks, and filling small gaps in the pantry. A recent working paper on online food delivery and food security in Indonesia reveals that the proliferation of delivery platforms has significantly altered how households access food, particularly in urban areas, with delivery apps now a regular channel rather than a novelty. Studies conducted in 2025 on ShopeeFood and online food delivery apps in Jabodetabek highlight how promotions, reviews, and app experience influence repeat ordering and segmentation across age and income groups. • Strong growth in online food and beverage spending, combined with high smartphone and wallet penetration, means that for many urban consumers, ordering meals, snacks, and basic groceries multiple times a week is a practical option. The integration of digital payments and e-wallets (such as ShopeePay, GoPay, OVO, DANA, and others) into both super-apps and retailer apps, like Klik Indomaret, reduces friction for small-basket orders. Recent research on Klik Indomaret has shown that these orders are closely linked to purchase decisions. • Merchants and SMEs increasingly rely on delivery platforms to reach customers; case studies in 2025 show small food businesses using platform tools (promotions, menus, operational support) to sustain share around campuses and dense urban clusters. • Frequency of small quick-commerce orders is likely to rise further in Jakarta and other large cities, as consumers normalize using apps to fill micro-needs (missed ingredients, last-minute snacks, late-night orders). Policymakers and researchers are paying more attention to the implications of online food delivery for nutrition and food security; this may gradually influence regulations on fees, working conditions and the promotion of healthier options on platforms. • For platforms, cross-selling into non-food categories (such as household, personal care, and OTC health products) will become a key growth lever, utilizing the same quick-commerce rails originally built for restaurant food. Competitive Landscape Over the next 2-4 years, competitive intensity is likely to rise in Indonesia’s quick-commerce segment; however, we can expect consolidation rather than fragmentation. Larger platforms will push deeper into suburban and secondary cities, leveraging the store networks of retailers and partnering with dark stores to improve coverage at a lower cost. Regulators will tighten oversight of mergers and roll-ups, given the risk that dominant platforms will control both merchant access and delivery pricing. As operating models mature, players will shift their emphasis from pure speed to cost efficiency, basket size growth, and adjunct monetization (e.g., advertising, fulfillment services). This dynamic suggests that only a few firms with deep pockets, strong ecosystem integration, and broad fulfillment footprints will capture a meaningful share; smaller independents may either specialize or exit. Current State of the Market • The quick-commerce segment in Indonesia is characterized by a relatively high concentration of delivery activity in urban centers, with major super-apps and large retail chains leveraging both dark stores and store networks. While the broader e-commerce market continues to expand (with Indonesia’s digital payments and e-commerce ecosystem projected to reach around USD 94.5 billion by 2025), quick commerce is still developing its unit economics and infrastructure in tertiary cities. Unlike the first-wave growth of pure dark-store models in other markets, Indonesian players are integrating with existing retail outlets and food-delivery networks, meaning competition is more about reach, fulfillment cost, and platform control than simply the fastest delivery. Key Players and New Entrants • Leading platforms include the combined entity GoTo (via its subbrands GoFood / GoMart), Grab (GrabFood / GrabMart), and Shopee (ShopeeFood, with a marketplace-to-instant-delivery approach). Super-apps dominate because they already control logistics, payments and user base. • In addition, retail chains such as Alfamart and Indomaret are becoming more active in quick-commerce by using their dense store footprint to fulfil same-day or instant background orders. There are also new entrants and specialist models (e.g., dark-store start-ups), but they face steep competition from the incumbents’ scale. Recent Launches, Mergers, and Acquisitions • A prominent headline is the proposed acquisition of GoTo by Grab, which would combine two of Indonesia’s largest delivery/ecosystem platforms. The deal is reportedly valued at around US $7 billion and is under regulatory scrutiny. Another key move: Indonesia’s antitrust authority has flagged potential monopoly risks following the takeover of Tokopedia by TikTok (a 75 % stake) in January 2024 and has given conditional approval, with ongoing monitoring until 2027. These developments show consolidation pressure in the market and a shift toward integrating delivery, payments, and ecosystem services. This report provides a detailed data-centric analysis of the quick commerce industry in Indonesia 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 Indonesia, 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: • Indonesia Quick Commerce Market Size and Growth Dynamics -- Gross Merchandise Value -- Gross Merchandise Volume -- Average Order Value -- Order Frequency per Year • Indonesia 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 • Indonesia Quick Commerce Market Segmentation by Payment Mode -- Instant Bank Transfer -- Wallets and Digital Payments -- Credit and Debit Cards -- Cash on Delivery • Indonesia Quick Commerce Market Segmentation by Age Group -- Gen Z (15–25) -- Millennials (26–39) -- Gen X (40–55) -- Baby Boomers (Above 55) • Indonesia Quick Commerce Market Segmentation by Location Tier -- Tier 1 Cities -- Tier 2 Cities -- Tier 3 Cities • Indonesia Quick Commerce Market Segmentation by Business Model -- Inventory-led Model -- Hyper-local Model -- Multi-vendor Platform Model -- Others • Indonesia Quick Commerce Market Segmentation by Delivery Time -- Delivery in 30 Minutes -- Delivery 30–60 Minutes -- Delivery in 3 Hours • Indonesia Quick Commerce Consumer Behavior and Demographics -- Average Subscription Uptake by Age Group -- Average Subscription Uptake by Location Tier -- Average Subscription Uptake -- Average Delivery Time • Indonesia Quick Commerce Revenue Structure and Composition -- Advertising Revenue -- Delivery Fee Revenue -- Subscription Revenue • Indonesia 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 • Indonesia 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 • Indonesia 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 • Indonesia 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 • Indonesia 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 • Indonesia 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. Indonesia Quick Commerce Industry Attractiveness 2.1 Indonesia Quick Commerce – Gross Merchandise Value Trend Analysis, 2020-2029 2.2 Indonesia Quick Commerce – Gross Merchandise Volume Trend Analysis, 2020-2029 2.3 Indonesia Quick Commerce – Average Order Value Trend Analysis, 2020-2029 2.4 Indonesia Quick Commerce – Order Frequency Trend Analysis, 2020-2029 2.5 Indonesia Quick Commerce – Market Share Analysis by Key Players, 2024 3. Indonesia Quick Commerce Operational KPIs 3.1 Indonesia Quick Commerce Revenue and Growth Trend, 2020-2029 3.2 Indonesia 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. Indonesia Quick Commerce Analysis by Product Type 4.1 Indonesia Quick Commerce Segment Share by Product Type, 2024 4.2 Indonesia 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 Indonesia 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 Indonesia 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 Indonesia 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 Indonesia 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 Indonesia 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 Indonesia 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 Indonesia 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 Indonesia 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. Indonesia Quick Commerce Analysis by Payment Method 5.1 Indonesia Quick Commerce Segment Share by Payment Method, 2020-2029 5.2 Indonesia 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 Indonesia 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 Indonesia 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 Indonesia 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. Indonesia Quick Commerce Analysis by Age Group 6.1 Indonesia Quick Commerce Segment Share by Age Group, 2024 6.2 Indonesia 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 Indonesia 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 Indonesia 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 Indonesia 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. Indonesia Quick Commerce Analysis by Location 7.1 Indonesia Quick Commerce Segment Share by Location, 2020-2029 7.2 Indonesia 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 Indonesia 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 Indonesia 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. Indonesia Quick Commerce Analysis by Business Model 8.1 Indonesia Quick Commerce Segment Share by Business Model, 2024 8.2 Indonesia 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 Indonesia 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 Indonesia 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 Indonesia 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. Indonesia Quick Commerce Analysis by Delivery Time 9.1 Indonesia Quick Commerce Segment Share by Delivery Time, 2020-2029 9.2 Indonesia 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 Indonesia 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 Indonesia 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. Indonesia Quick Commerce Consumer Behaviour and Adoption 10.1 Indonesia Quick Commerce- Average Subscription Uptake, 2024 10.2 Indonesia Quick Commerce- Average Subscription Uptake by Age Group, 2024 10.3 Indonesia Quick Commerce- Average Subscription Uptake by Location, 2024 10.4 Indonesia Quick Commerce- Average Delivery Time, 2024 11. Further Reading 11.1 About PayNXT360 11.2 Related Research
Table 1: Indonesia Quick Commerce – Gross Merchandise Value (US$ Million), 2020–2029 Table 2: Indonesia Quick Commerce – Gross Merchandise Volume (Millions), 2020–2029 Table 3: Indonesia Quick Commerce – Average Order Value (US$), 2020–2029 Table 4: Indonesia Quick Commerce – Order Frequency (Orders per Year), 2020–2029 Table 5: Indonesia Quick Commerce Revenue and Growth Trend (US$ 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$), 2020–2029 Table 104: Delivery Time in 3 Hours – Order Frequency (Orders per Year), 2020–2029
Figure 1: PayNXT360’s Methodology Framework Figure 2: Indonesia Quick Commerce – Gross Merchandise Value (US$ Million), 2020–2029 Figure 3: Indonesia Quick Commerce – Gross Merchandise Volume (Millions), 2020–2029 Figure 4: Indonesia Quick Commerce – Average Order Value (US$), 2020–2029 Figure 5: Indonesia Quick Commerce – Order Frequency (Orders per Year), 2020–2029 Figure 6: Indonesia Quick Commerce – Market Share Analysis by Key Players (%), 2024 Figure 7: Indonesia Quick Commerce Revenue and Growth Trend (US$ Million), 2020–2029 Figure 8: Indonesia 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: Indonesia 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$), 2020–2029 Figure 48: Other Product Category – Order Frequency (Orders per Year), 2020–2029 Figure 49: Indonesia Quick Commerce Segment Share by Payment Method, 2024 Figure 50: Instant Bank Transfer – Gross Merchandise Value (US$ 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$), 2020–2029 Figure 62: Indonesia Quick Commerce Segment Share by Age Group, 2024 Figure 63: Gen Z (15–25) Age Group – Gross Merchandise Value (US$ 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$), 2020–2029 Figure 75: Indonesia Quick Commerce Segment Share by Location, 2024 Figure 76: Tier 1 Cities – Gross Merchandise Value (US$ 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$), 2020–2029 Figure 87: Tier 3 Cities – Order Frequency (Orders per Year), 2020–2029 Figure 88: Indonesia Quick Commerce Segment Share by Business Model, 2024 Figure 89: Inventory Model – Gross Merchandise Value (US$ 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$), 2020–2029 Figure 101: Indonesia Quick Commerce Segment Share by Delivery Time, 2024 Figure 102: Delivery Time in 30 Minutes – Gross Merchandise Value (US$ 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: Indonesia Quick Commerce – Average Subscription Uptake, 2024 Figure 115: Indonesia Quick Commerce – Average Subscription Uptake by Age Group, 2024 Figure 116: Indonesia Quick Commerce – Average Subscription Uptake by Location, 2024 Figure 117: Indonesia Quick Commerce – Average Delivery Time, 2024
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