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封面
市場調查報告書
商品編碼
2024115

2034年10分鐘生鮮配送市場預測：全球配送模式、產品類別、技術、支付方式、經營模式、最終用戶與區域分析

10-Minute Grocery Delivery Market Forecasts to 2034 - Global Analysis By Delivery Model (Dark Store Model, Hybrid Model, and Retail-Only Model), Product Category, Technology, Payment Mode, Business Model, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球 10 分鐘雜貨配送市場規模將達到 240 億美元，並在預測期內以 12.4% 的複合年成長率成長，到 2034 年將達到 614 億美元。

「十分鐘送達」是一種超快速的線上生鮮配送模式，顧客可以透過數位平台訂購日常必需品，並在大約十分鐘內收到商品。該系統利用戰略佈局的微型倉庫和暗店，輔以先進的庫存管理和最佳化的末端物流，實現了快速的訂單處理和配送。該服務主要針對生鮮食品、點心、飲料和日常必需品等高需求商品，為都市區提供即時便利的生鮮購物體驗。

快速的都市化與消費者生活方式的改變

隨著雙薪家庭的增加和工作時間的延長，消費者幾乎沒有時間進行傳統的超市購物，因此他們尋求即時配送服務。智慧型手機的普及和費率方案使得基於應用程式的訂購服務變得十分普遍。都市區中的年輕一代往往更注重便利性而非性價比，並且願意為速度支付更高的價格。 「一切皆可按需」的期望正從食品配送擴展到日常必需品。在日益擁擠的城市中，幾分鐘內就能收到商品的能力減少了出行和倉儲的需求，進一步鞏固了這種消費習慣在各個年齡層中的流行。

單位經濟效益及營運成本不永續

在黃金地段的城市區域維護微型倉庫的高昂成本正嚴重擠壓利潤空間。由於人員離職率率高和尖峰時段需求激增，專職配送人員、負責人和負責人的人事費用居高不下。暗店（dark store）的庫存持有成本不斷攀升，因為它們既需要儲備暢銷商品，又要處理生鮮食品的損耗。提供折扣和免運費等客戶獲取手段，進一步加劇了現金流壓力。許多企業的毛利率低於市場平均水平，並依靠投資者資金維持營運。如果無法達到最低訂單量或透過訂閱模式留住客戶，這種經營模式難以獲利。這些財務壓力正導致部分地區的市場重組和企業倒閉。

利用人工智慧最佳化庫存和配送路線

機器學習模型能夠高精度地預測高度本地化的需求模式，從而實現暗店的動態庫存補貨。即時路線最佳化演算法可以減少配送司機的行駛時間和燃油成本，同時提高配送成功率。微型倉配中心的AI揀貨系統可以將訂單組裝時間從幾分鐘縮短到幾秒鐘。此外，預測分析還可用於個人化產品推薦，並在無需額外行銷成本的情況下擴展購物車規模。隨著雲端AI平台價格的降低，即使是中型企業也能獲得企業級的物流智慧。這項技術基礎將速度從成本中心轉變為競爭優勢。

激烈的競爭與價格戰

某些市場進入門檻低，導致市場飽和，多家企業爭奪同一配送區域。激進的折扣、現金回饋和免運費宣傳活動使服務同質化，差異化空間渺茫。用戶經常根據最低價格和最短配送時間更換應用程式，導致客戶忠誠度依然脆弱。資金雄厚的國際參與企業比本地Start-Ups更能承受虧損，迫使小規模企業破產或被迫賤賣。此外，傳統零售商和電商巨頭也在發展自己的快速商務業務，進一步加劇了市場擁擠。

新冠疫情的影響

疫情加速了非接觸式商業的發展，封鎖期間快速配送服務的普及速度顯著提升。出行限制和對感染的擔憂促使就連傳統消費者也轉向線上平台購買必需品。然而，供應鏈中斷、配送人員短缺以及衛生防疫措施增加了營運的複雜性和成本。多個國家推出了有關配送人員安全和配送時間的監管措施。疫情過後，隨著出行自由的恢復和實體店的重新開業，客戶留存仍然是一項挑戰。儘管如此，這場危機已經永久改變了人們對配送速度的預期，並迫使現有企業投資於在超當地語系化基礎設施。結合線上線下融合混合模式正成為一條更具韌性的未來發展道路。

在預測期內，暗店模式細分市場預計將成為規模最大的市場。

由於其能夠實現15分鐘或更短的配送時限，預計在預測期內，暗店模式將佔據最大的市場佔有率。這些微型倉配中心位於人口密集的住宅區內，顯著縮短了最後一公里配送距離。與傳統零售不同，暗店的設計目標是最佳化揀貨效率，而非客流量。庫存透過演算法進行排列，以最大限度地減少負責人的移動。與即時訂單管理系統的整合，實現了存量基準和配送人員調度的無縫同步。

在預測期內，都市區千禧世代預計將呈現最高的複合年成長率。

在預測期內，都市區千禧世代預計將呈現最高的成長率，這主要得益於他們天生的數位素養以及對便利交易的偏好。該群體更重視時間而非金錢，他們通常少量訂購商品以供即時消費，而非每週進行大宗購買採購。統一支付介面（UPI）和數位錢包的普及消除了支付摩擦，促進了衝動消費。此外，千禧世代非常樂於嘗試新的生鮮雜貨應用程式，共用推薦碼並提供即時回饋，這些都推動了平台的成長。

市佔率最大的地區：

在預測期內，亞太地區預計將佔據最大的市場佔有率，這主要得益於人口稠密的特大城市和數位支付的快速普及。印度、中國和印尼等國的快速電商Start-Ups正經歷爆炸性成長，並獲得了大量創業投資的支持。低廉的人事費用和智慧型手機的廣泛使用使得10分鐘送達服務在經濟上可行。本地業者正在創新，探索超當地語系化的「暗店」選址和配送路線規劃，以適應瞬息萬變的城市環境。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於暗店網路持續向二、三線城市擴張。可支配收入的成長以及整合了生鮮配送、支付和社交電商功能的超級應用程式的普及，正在推動這一市場的成長。 Zepto、Blinkit 和 Swiggy Instamart 等當地企業之間的激烈競爭，正在加速人工智慧驅動的庫存管理領域的創新。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要企業進行SWOT分析（最多3家公司）
  • 區域分類
    • 應客戶要求，我們提供主要國家和地區的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對主要企業進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要企業市佔率分析
  • 產品基準評效和效能比較

第5章：全球十分鐘生鮮配送市場：依配送模式分類

  • 暗店模式
  • 混合模式
  • 限零售模式

第6章：全球十分鐘生鮮外送市場：依產品類型

  • 水果和蔬菜
  • 乳製品和冷藏食品
  • 小吃和飲料
  • 日常必需品/烹飪用品
  • 個人護理和家居用品
  • 嬰兒護理/寵物護理

第7章：全球十分鐘生鮮配送市場：依技術分類

  • 即時訂單管理系統
  • 人工智慧驅動的需求預測
  • 路線最佳化軟體
  • 自動化倉庫和揀貨系統
  • 配送司機和車輛管理平台

第8章：全球十分鐘生鮮外送市場：依支付方式分類

  • 數位錢包和UPI
  • 信用卡/簽帳金融卡
  • 貨到付款
  • 後付費（先買後付）

第9章：全球十分鐘生鮮外送市場：依經營模式

  • Pureplay QuickCommerce
  • 聚合器模型
  • 整合零售模式

第10章：全球十分鐘生鮮外送市場：依最終用戶分類

  • 都市區千禧世代
  • 致所有職場人士
  • 學生
  • 老年人
  • 青年旅舍和小型企業
  • 其他最終用戶

第11章：全球十分鐘生鮮配送市場：依地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第12章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第13章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第14章：公司簡介

  • Blinkit
  • Zepto
  • Swiggy Instamart
  • Dunzo Daily
  • BigBasket Now
  • Gorillas
  • Flink
  • Gopuff
  • Uber Eats
  • Deliveroo Hop
  • DoorDash DashMart
  • Jiffy
  • Nuro
  • Zapp
  • Weezy
Product Code: SMRC35326

According to Stratistics MRC, the Global 10-Minute Grocery Delivery Market is accounted for $24.0 billion in 2026 and is expected to reach $61.4 billion by 2034 growing at a CAGR of 12.4% during the forecast period. 10-Minute Grocery Delivery is an ultra-fast online grocery fulfillment model in which customers place orders for daily essentials through a digital platform and receive them within approximately ten minutes. The system operates through strategically located micro-warehouses or dark stores, supported by advanced inventory management and optimized last-mile logistics for rapid order processing and dispatch. The service generally focuses on high-demand items such as fresh produce, snacks, beverages, and household necessities, providing immediate convenience and quick access to groceries in urban areas.

Market Dynamics:

Driver:

Rapid urbanization and shifting consumer lifestyles

Dual-income households and extended working hours leave minimal time for traditional grocery shopping, pushing consumers toward instant fulfillment options. Smartphone penetration and affordable data plans have normalized app-based ordering as a daily utility. Young urban demographics prioritize convenience over unit economics, often paying premiums for speed. The expectation of "on-demand everything" is spilling over from food delivery to daily essentials. As cities become more congested, the ability to receive goods in minutes reduces personal travel and storage needs, reinforcing the stickiness of this consumption habit across all age groups.

Restraint:

Unsustainable unit economics and operational costs

The high cost of maintaining micro-warehouses in prime urban locations erodes profit margins significantly. Labor expenses for dedicated riders, pickers, and packers remain inflated due to high attrition rates and peak-hour demand surges. Inventory holding costs increase as dark stores must stock fast-moving SKUs while managing wastage of perishable goods. Discounting and free delivery offers, essential for customer acquisition, further strain cash flow. Many players operate below gross margins, relying on investor funding to sustain operations. Without achieving minimum order values or subscription lock-ins, the model struggles to break even. These financial pressures have led to market consolidations and closures in several regions.

Opportunity:

Integration of AI-driven inventory and route optimization

Machine learning models can predict hyperlocal demand patterns with high accuracy, enabling dynamic stock replenishment in dark stores. Real-time route optimization algorithms reduce rider travel time and fuel costs while improving delivery success rates. AI-powered picking systems in micro-fulfillment centers accelerate order assembly from minutes to seconds. Predictive analytics can also personalize product recommendations, increasing basket sizes without additional marketing spend. As cloud-based AI platforms become more affordable, even mid-sized players can access enterprise-grade logistics intelligence. This technological layer turns speed from a cost center into a competitive moat.

Threat:

Intense competition and price wars

The low barrier to entry in select markets has led to oversaturation, with multiple players fighting for the same delivery zones. Aggressive discounting, cashback offers, and zero-delivery-fee promotions have commoditized the service, leaving little room for differentiation. Customer loyalty remains fragile as users routinely switch between apps based on the lowest price or fastest availability. Well-funded international entrants can sustain losses longer than local startups, forcing smaller players into bankruptcy or fire sales. Additionally, traditional retailers and e-commerce giants are launching their own quick-commerce verticals, further crowding the landscape.

Covid-19 Impact

The pandemic acted as a catalyst for contactless commerce, rapidly accelerating adoption of rapid delivery services during lockdowns. Movement restrictions and fear of infection drove even traditional shoppers to digital platforms for essential supplies. However, supply chain shocks, rider shortages, and sanitization protocols increased operational complexity and costs. Regulatory interventions on rider safety and delivery timelines emerged in several countries. Post-pandemic, consumer retention has proven challenging as mobility returns and physical stores reopen. Nevertheless, the crisis permanently altered expectations around delivery speed, forcing incumbents to invest in hyperlocal infrastructure. Hybrid models combining dark stores with traditional retail are now emerging as a resilient path forward.

The dark store model segment is expected to be the largest during the forecast period

The dark store model segment is expected to account for the largest market share during the forecast period, due to its strategic advantage in enabling sub-15-minute delivery windows. These micro-fulfillment centers are located within high-density residential zones, drastically reducing last-mile travel distances. Unlike traditional retail, dark stores are optimized exclusively for picking efficiency, not customer foot traffic. Inventory is arranged algorithmically to minimize picker movement. Integration with real-time order management systems allows seamless synchronization between stock levels and rider dispatch.

The urban millennials segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the urban millennials segment is predicted to witness the highest growth rate, driven by their digital nativity and preference for frictionless transactions. This demographic values time over money, frequently ordering small baskets for immediate consumption rather than weekly bulk shopping. High adoption of UPI and digital wallets removes payment friction, enabling impulse purchases. Millennials are also more likely to experiment with new grocery apps, share referral codes, and provide real-time feedback, fueling platform growth.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, fuelled by densely populated megacities and rapid digital payment adoption. Countries like India, China, and Indonesia have witnessed explosive growth in quick-commerce startups backed by substantial venture capital. Low labor costs and ubiquitous smartphone usage enable economically viable 10-minute logistics. Local players have innovated in hyperlocal dark store placement and rider routing suited to chaotic urban geographies.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by continuous expansion of dark store networks into tier-2 and tier-3 cities. Rising disposable incomes and the proliferation of super-apps integrating grocery delivery with payments and social commerce are fueling adoption. Intense competition among local players like Zepto, Blinkit, and Swiggy Instamart is accelerating innovation in AI-based inventory management.

Key players in the market

Some of the key players in 10-Minute Grocery Delivery Market include Blinkit, Zepto, Swiggy Instamart, Dunzo Daily, BigBasket Now, Gorillas, Flink, Gopuff, Uber Eats, Deliveroo Hop, DoorDash DashMart, Jiffy, Nuro, Zapp, and Weezy.

Key Developments:

In April 2026, Swiggy just launched an economical version of itself. After more than a decade of operations, Swiggy has become synonymous with the act of having food delivered. Toing is the new platform has been launched and marketed by Swiggy as a standalone budget food delivery app.

In June 2025, Zepto announced a $340 million funding round to expand its dark store network across 15 Indian cities, focusing on tier-2 urban centers. The company plans to deploy AI-powered demand forecasting to reduce perishable wastage and improve unit economics.

Delivery Models Covered:

  • Dark Store Model
  • Hybrid Model
  • Retail-Only Model

Product Categories Covered:

  • Fruits & Vegetables
  • Dairy & Chilled Products
  • Snacks & Beverages
  • Staples & Cooking Essentials
  • Personal Care & Household Items
  • Baby Care & Pet Care

Technologies Covered:

  • Real-Time Order Management Systems
  • AI-Based Demand Forecasting
  • Route Optimization Software
  • Automated Warehouse & Picking Systems
  • Rider & Fleet Management Platforms

Payment Modes Covered:

  • Digital Wallets & UPI
  • Credit/Debit Cards
  • Cash on Delivery
  • Buy Now Pay Later (BNPL)

Business Models Covered:

  • Pure-Play Quick Commerce
  • Aggregator Model
  • Integrated Retailer Model

End Users Covered:

  • Urban Millennials
  • Working Professionals
  • Students
  • Senior Citizens
  • Hostels & Small Businesses
  • Other End Users

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global 10-Minute Grocery Delivery Market, By Delivery Model

  • 5.1 Dark Store Model
  • 5.2 Hybrid Model
  • 5.3 Retail-Only Model

6 Global 10-Minute Grocery Delivery Market, By Product Category

  • 6.1 Fruits & Vegetables
  • 6.2 Dairy & Chilled Products
  • 6.3 Snacks & Beverages
  • 6.4 Staples & Cooking Essentials
  • 6.5 Personal Care & Household Items
  • 6.6 Baby Care & Pet Care

7 Global 10-Minute Grocery Delivery Market, By Technology

  • 7.1 Real-Time Order Management Systems
  • 7.2 AI-Based Demand Forecasting
  • 7.3 Route Optimization Software
  • 7.4 Automated Warehouse & Picking Systems
  • 7.5 Rider & Fleet Management Platforms

8 Global 10-Minute Grocery Delivery Market, By Payment Mode

  • 8.1 Digital Wallets & UPI
  • 8.2 Credit/Debit Cards
  • 8.3 Cash on Delivery
  • 8.4 Buy Now Pay Later (BNPL)

9 Global 10-Minute Grocery Delivery Market, By Business Model

  • 9.1 Pure-Play Quick Commerce
  • 9.2 Aggregator Model
  • 9.3 Integrated Retailer Model

10 Global 10-Minute Grocery Delivery Market, By End User

  • 10.1 Urban Millennials
  • 10.2 Working Professionals
  • 10.3 Students
  • 10.4 Senior Citizens
  • 10.5 Hostels & Small Businesses
  • 10.6 Other End Users

11 Global 10-Minute Grocery Delivery Market, By Geography

  • 11.1 North America
    • 11.1.1 United States
    • 11.1.2 Canada
    • 11.1.3 Mexico
  • 11.2 Europe
    • 11.2.1 United Kingdom
    • 11.2.2 Germany
    • 11.2.3 France
    • 11.2.4 Italy
    • 11.2.5 Spain
    • 11.2.6 Netherlands
    • 11.2.7 Belgium
    • 11.2.8 Sweden
    • 11.2.9 Switzerland
    • 11.2.10 Poland
    • 11.2.11 Rest of Europe
  • 11.3 Asia Pacific
    • 11.3.1 China
    • 11.3.2 Japan
    • 11.3.3 India
    • 11.3.4 South Korea
    • 11.3.5 Australia
    • 11.3.6 Indonesia
    • 11.3.7 Thailand
    • 11.3.8 Malaysia
    • 11.3.9 Singapore
    • 11.3.10 Vietnam
    • 11.3.11 Rest of Asia Pacific
  • 11.4 South America
    • 11.4.1 Brazil
    • 11.4.2 Argentina
    • 11.4.3 Colombia
    • 11.4.4 Chile
    • 11.4.5 Peru
    • 11.4.6 Rest of South America
  • 11.5 Rest of the World (RoW)
    • 11.5.1 Middle East
      • 11.5.1.1 Saudi Arabia
      • 11.5.1.2 United Arab Emirates
      • 11.5.1.3 Qatar
      • 11.5.1.4 Israel
      • 11.5.1.5 Rest of Middle East
    • 11.5.2 Africa
      • 11.5.2.1 South Africa
      • 11.5.2.2 Egypt
      • 11.5.2.3 Morocco
      • 11.5.2.4 Rest of Africa

12 Strategic Market Intelligence

  • 12.1 Industry Value Network and Supply Chain Assessment
  • 12.2 White-Space and Opportunity Mapping
  • 12.3 Product Evolution and Market Life Cycle Analysis
  • 12.4 Channel, Distributor, and Go-to-Market Assessment

13 Industry Developments and Strategic Initiatives

  • 13.1 Mergers and Acquisitions
  • 13.2 Partnerships, Alliances, and Joint Ventures
  • 13.3 New Product Launches and Certifications
  • 13.4 Capacity Expansion and Investments
  • 13.5 Other Strategic Initiatives

14 Company Profiles

  • 14.1 Blinkit
  • 14.2 Zepto
  • 14.3 Swiggy Instamart
  • 14.4 Dunzo Daily
  • 14.5 BigBasket Now
  • 14.6 Gorillas
  • 14.7 Flink
  • 14.8 Gopuff
  • 14.9 Uber Eats
  • 14.10 Deliveroo Hop
  • 14.11 DoorDash DashMart
  • 14.12 Jiffy
  • 14.13 Nuro
  • 14.14 Zapp
  • 14.15 Weezy

List of Tables

  • Table 1 Global 10-Minute Grocery Delivery Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global 10-Minute Grocery Delivery Market Outlook, By Delivery Model (2023-2034) ($MN)
  • Table 3 Global 10-Minute Grocery Delivery Market Outlook, By Dark Store Model (2023-2034) ($MN)
  • Table 4 Global 10-Minute Grocery Delivery Market Outlook, By Hybrid Model (2023-2034) ($MN)
  • Table 5 Global 10-Minute Grocery Delivery Market Outlook, By Retail-Only Model (2023-2034) ($MN)
  • Table 6 Global 10-Minute Grocery Delivery Market Outlook, By Product Category (2023-2034) ($MN)
  • Table 7 Global 10-Minute Grocery Delivery Market Outlook, By Fruits & Vegetables (2023-2034) ($MN)
  • Table 8 Global 10-Minute Grocery Delivery Market Outlook, By Dairy & Chilled Products (2023-2034) ($MN)
  • Table 9 Global 10-Minute Grocery Delivery Market Outlook, By Snacks & Beverages (2023-2034) ($MN)
  • Table 10 Global 10-Minute Grocery Delivery Market Outlook, By Staples & Cooking Essentials (2023-2034) ($MN)
  • Table 11 Global 10-Minute Grocery Delivery Market Outlook, By Personal Care & Household Items (2023-2034) ($MN)
  • Table 12 Global 10-Minute Grocery Delivery Market Outlook, By Baby Care & Pet Care (2023-2034) ($MN)
  • Table 13 Global 10-Minute Grocery Delivery Market Outlook, By Technology (2023-2034) ($MN)
  • Table 14 Global 10-Minute Grocery Delivery Market Outlook, By Real-Time Order Management Systems (2023-2034) ($MN)
  • Table 15 Global 10-Minute Grocery Delivery Market Outlook, By AI-Based Demand Forecasting (2023-2034) ($MN)
  • Table 16 Global 10-Minute Grocery Delivery Market Outlook, By Route Optimization Software (2023-2034) ($MN)
  • Table 17 Global 10-Minute Grocery Delivery Market Outlook, By Automated Warehouse & Picking Systems (2023-2034) ($MN)
  • Table 18 Global 10-Minute Grocery Delivery Market Outlook, By Rider & Fleet Management Platforms (2023-2034) ($MN)
  • Table 19 Global 10-Minute Grocery Delivery Market Outlook, By Payment Mode (2023-2034) ($MN)
  • Table 20 Global 10-Minute Grocery Delivery Market Outlook, By Digital Wallets & UPI (2023-2034) ($MN)
  • Table 21 Global 10-Minute Grocery Delivery Market Outlook, By Credit/Debit Cards (2023-2034) ($MN)
  • Table 22 Global 10-Minute Grocery Delivery Market Outlook, By Cash on Delivery (2023-2034) ($MN)
  • Table 23 Global 10-Minute Grocery Delivery Market Outlook, By Buy Now Pay Later (BNPL) (2023-2034) ($MN)
  • Table 24 Global 10-Minute Grocery Delivery Market Outlook, By Business Model (2023-2034) ($MN)
  • Table 25 Global 10-Minute Grocery Delivery Market Outlook, By Pure-Play Quick Commerce (2023-2034) ($MN)
  • Table 26 Global 10-Minute Grocery Delivery Market Outlook, By Aggregator Model (2023-2034) ($MN)
  • Table 27 Global 10-Minute Grocery Delivery Market Outlook, By Integrated Retailer Model (2023-2034) ($MN)
  • Table 28 Global 10-Minute Grocery Delivery Market Outlook, By End User (2023-2034) ($MN)
  • Table 29 Global 10-Minute Grocery Delivery Market Outlook, By Urban Millennials (2023-2034) ($MN)
  • Table 30 Global 10-Minute Grocery Delivery Market Outlook, By Working Professionals (2023-2034) ($MN)
  • Table 31 Global 10-Minute Grocery Delivery Market Outlook, By Students (2023-2034) ($MN)
  • Table 32 Global 10-Minute Grocery Delivery Market Outlook, By Senior Citizens (2023-2034) ($MN)
  • Table 33 Global 10-Minute Grocery Delivery Market Outlook, By Hostels & Small Businesses (2023-2034) ($MN)
  • Table 34 Global 10-Minute Grocery Delivery Market Outlook, By Other End Users (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.