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市場調查報告書
商品編碼
2024105

鄰裡電子商務市場預測至2034年－按經營模式、產品類型、配送模式、平台類型、支付方式、最終用戶和地區分類的全球分析

Neighborhood E-Commerce Market Forecasts to 2034 - Global Analysis By Business Model, Product Category, Delivery Model, Platform Type, Payment Method, 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，全球社區電子商務市場規模將達到 1,200 億美元，並在預測期內以 14.1% 的複合年成長率成長，到 2034 年將達到 3,450 億美元。

社區電商是一種線上零售模式，它透過數位平台將顧客與本地商店和附近服務供應商連接起來。用戶可以瀏覽商品、下單，並享有快速送貨上門服務，或直接到居住地區附近的商店取貨。透過將本地商家引入線上，社群電商提高了小規模零售商的知名度和營運效率，同時也為消費者提供了便利。這些平台通常整合了支付、訂單管理和配送協調功能，從而在社區內打造高效且以本地為中心的購物體驗。

消費者越來越偏好選擇超本地化的便利服務。

都市區消費者越來越重視速度和個人化服務，這推動了對能夠在數小時內從附近商店配送日常必需品的平台的需求。快節奏的生活方式和智慧型手機普及率的不斷提高，加速了人們從每週一次的超市購物轉向每日按需購物的趨勢。本地電商透過提供即時庫存資訊和便捷的數位支付來滿足這一需求。消費者可以從本地商家訂購從生鮮食品、日用品到藥品等各種商品，這不僅縮短了等待時間，也增強了信任感。隨著新興經濟體可支配收入的成長，消費者願意支付少量配送費以獲得即時滿足，而超當地語系化的便利性正是推動市場成長的強大動力。

最後一公里配送的物流效率低下

儘管技術不斷進步，最後一公里配送仍是本地電商中最昂貴、最複雜的環節。都市區地理分散、交通堵塞以及地址系統不統一等問題導致配送延遲和營運成本增加。小規模平台難以建構高密度配送網路以實現規模經濟。與全國性電商平台不同，本地電商模式依賴本地宅配業者和零工人員，而這些人可能缺乏足夠的培訓和可靠性。此外，處理退貨和破損商品的逆向物流也往往不完善。這些低效環節會降低利潤率和客戶滿意度，阻礙永續投資，並限制小規模本地企業的規模化發展。

人工智慧驅動的預測性庫存管理整合

人工智慧 (AI) 透過預測分析本地消費者的購買模式，為本地電子商務轉型提供了契機。透過分析歷史購買數據、天氣預報和本地活動，平台可以為附近門市提案最佳庫存水平，從而減少缺貨和廢棄物。人工智慧還可以即時實現促銷活動的個人化和配送路線的最佳化。這項技術將使小規模零售商能夠在不積壓過多庫存的情況下與大型連鎖店競爭。隨著人工智慧工具變得更加經濟實惠且易於使用，將其整合到行動應用程式和後端系統中有望提高營運效率、降低成本，並提升人口密集都市區客戶維繫。

來自主要電商企業的激烈競爭。

資金雄厚的快消平台，例如由全球投資者支持的即時配送應用，其快速擴張對規模小規模的本地電商平台構成了重大威脅。這些大型公司利用「暗店」、集中式履約中心和補貼運費，以低於本地零售商的價格提供服務。它們承諾10-15分鐘內送達，這給消費者造成了不切實際的期望。獨立的本地平台缺乏與這些大型企業匹敵的財力，因此無法進行激進的行銷和大幅折扣。隨著產業重組的加速，許多小規模企業面臨被收購或被迫退出市場的風險。這種競爭壓力威脅著支持本地企業的根基，並可能破壞市場多樣性和長期創新。

新冠疫情的影響

疫情期間，由於封鎖措施限制了出行，消費者避免前往擁擠的超級市場，從根本上加速了在地化電子商務的發展。非接觸式配送和對本地商家的信任成為首要考慮因素，促使許多新用戶轉向在超當地語系化應用程式。然而，供應鏈的不穩定性以及衛生措施增加了這些平台的營運成本。許多小規模零售商透過與在地化電商支援公司合作，迅速實現了數位轉型。監理政策的改變也延長了必需品的配送時間。即使在疫情結束後，消費者在混合購物習慣中仍然將速度和社區連結放在首位。這場危機永久提升了社區平台作為支撐城市韌性和地方經濟的重要基礎設施的作用。

在預測期內，食品和雜貨領域預計將佔據最大的市場佔有率。

在預測期內，食品雜貨領域預計將佔據最大的市場佔有率，這主要得益於日常持續的需求和小額消費。米、麵包、食用油和飲料等必需品構成了以本地市場為中心的電子商務交易的基礎。消費者對這些生鮮食品的配送速度和新鮮度要求很高，而在超當地語系化平台在配送方面具有獨特的優勢。與當地雜貨店、肉店和麵包店的合作確保了庫存的即時供應。日益增強的健康意識也推動了對有機產品和特色產品的需求。

預計在預測期內，按需配送領域將呈現最高的複合年成長率。

在預測期內，按需配送領域預計將呈現最高的成長率，這主要得益於消費者對即時滿足和即時訂單追蹤的期望。此模式利用零工經濟的配送司機和動態路線演算法，實現30至90分鐘內送達。餐廳、藥局和小規模雜貨店正擴大採用按需配送服務，以與電商應用程式競爭。隨著5G網路的擴展，按需配送有望變得更加便捷，從而鞏固主導地位。

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，這主要得益於其高都市區密度、高智慧型手機普及率和強大的本土零售文化。在中國、印度和印尼等國家，本土化電商平台正經歷爆炸性成長。政府對數位支付和中小企業數位轉型的支持進一步加速了其普及。低成本的物流勞動力和摩托車的廣泛應用使得快速配送成為可能。在超當地語系化營運商不斷在庫存共用和暗店網路方面進行創新，使亞太地區在市場規模方面穩居領先地位。

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，這主要得益於新興經濟體快速的數位化進程和不斷擴大的網際網路普及率。二、三線城市居民擴大使用本地配送應用程式購買日常必需品。中產階級可支配收入的成長以及政府主導的數位基礎設施建設措施正在推動經濟成長。本地Start-Ups在在地化介面和貨到付款等領域不斷創新。隨著物流網路的日趨成熟和消費者信心的增強，預計亞太地區在整個預測期內將超越其他所有地區。

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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
    • 對其他市場參與企業（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）
  • 區域細分
    • 我們根據客戶要求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
    • 透過產品系列、地理覆蓋範圍和策略聯盟對標主要企業。

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
  • 成長機會和重點投資領域
  • 工業威脅與風險評估
  • 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：全球鄰裡電子商務市場：以經營模式

  • 企業對消費者 (B2C) 交易
  • 企業對企業 (B2B) 交易
  • 個人對個人（C2C）交易
  • 直接面對消費者 (D2C)

第6章：全球鄰裡電子商務市場：依產品類型

  • 食品
  • 生鮮食品和乳製品
  • 藥品和保健產品
  • 日常必需品
  • 個人護理和美容產品
  • 家用電器/小型家用電器
  • 服裝和生活風格產品

第7章：全球鄰裡電子商務市場：以配送模式分類

  • 按需配送
  • 當日送達
  • 按指定日期和時間送達
  • 點擊提貨

第8章：全球鄰裡電子商務市場：以平台類型分類

  • 行動應用
  • 網路為基礎的平台
  • 社群電商平台

第9章：全球鄰裡電子商務市場：以支付方式分類

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

第10章：全球鄰裡電子商務市場：以最終用戶分類

  • 個人消費者
  • 小規模局部變數
  • 餐廳和食品攤販
  • 藥房保健商店

第11章：全球鄰裡電子商務市場：按地區分類

  • 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
  • 其他
    • 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
      • 其他非洲地區

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、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

  • Amazon
  • Walmart
  • Alibaba Group
  • JD.com
  • Flipkart
  • Reliance Retail（JioMart）
  • Meituan
  • Delivery Hero
  • DoorDash
  • Instacart
  • Glovo
  • Rappi
  • Zomato
  • Swiggy
  • Dunzo
Product Code: SMRC35316

According to Stratistics MRC, the Global Neighborhood E-Commerce Market is accounted for $120.0 billion in 2026 and is expected to reach $345.0 billion by 2034 growing at a CAGR of 14.1% during the forecast period. Neighborhood e-commerce is an online retail approach that links customers with local shops and nearby service providers through digital platforms. It allows users to explore products, order items, and receive rapid delivery or pick them up directly from stores within their locality. By bringing neighborhood businesses online, it enhances visibility and operational efficiency for small retailers while offering convenience to consumers. These platforms typically include integrated payments, order management, and delivery coordination, enabling efficient and location-focused shopping experiences in local communities.

Market Dynamics:

Driver:

Growing consumer preference for hyperlocal convenience

Urban consumers increasingly value speed and personalization, driving demand for platforms that deliver essentials within hours from nearby stores. Busy lifestyles and rising smartphone penetration have accelerated the shift away from weekly supermarket trips toward daily, on-demand purchases. Neighborhood e-commerce fulfills this need by offering real-time inventory visibility and seamless digital payments. The ability to order fresh produce, household items, and even pharmaceuticals from local vendors reduces waiting time and enhances trust. As disposable incomes rise in emerging economies, consumers are willing to pay small delivery fees for immediate gratification, making hyperlocal convenience a powerful growth catalyst for this market.

Restraint:

Logistical inefficiencies in last-mile delivery

Despite technological advances, last-mile delivery remains the most expensive and complex segment of neighborhood e-commerce. Fragmented urban geographies, traffic congestion, and inconsistent address systems lead to delayed shipments and increased operational costs. Smaller platforms struggle to build dense delivery networks that achieve economies of scale. Unlike national e-commerce players, neighborhood models rely on local couriers or gig workers, who may lack training or reliability. Additionally, reverse logistics for returns or damaged goods is poorly developed. These inefficiencies erode profit margins and customer satisfaction, discouraging sustained investment and limiting scalability for smaller regional operators.

Opportunity:

Integration of AI-driven predictive stocking

Artificial intelligence offers a transformative opportunity for neighborhood e-commerce through predictive analytics that anticipate local buying patterns. By analyzing historical purchase data, weather forecasts, and local events, platforms can recommend optimal inventory levels to neighborhood stores, reducing stockouts and waste. AI can also personalize promotions and optimize delivery routing in real time. This technology empowers small retailers to compete with large chains without holding excessive inventory. As AI tools become more affordable and user-friendly, their integration into mobile apps and backend systems will drive operational efficiency, lower costs, and enhance customer retention across densely populated urban neighborhoods.

Threat:

Intense competition from quick-commerce giants

The rapid expansion of well-funded quick-commerce players, such as instant delivery apps backed by global investors, poses a significant threat to smaller neighborhood e-commerce platforms. These giants leverage dark stores, centralized fulfillment centers, and subsidized delivery fees to undercut local retailers. Their ability to offer 10-15 minute delivery times sets unrealistic consumer expectations. Independent neighborhood platforms lack comparable financial resources for aggressive marketing or deep discounting. As consolidation accelerates, many smaller players risk being acquired or driven out of business. This competitive pressure threatens the very premise of empowering local storefronts, potentially reducing market diversity and long-term innovation.

Covid-19 Impact

The pandemic fundamentally accelerated neighborhood e-commerce adoption as lockdowns restricted movement and consumers avoided crowded supermarkets. Contactless delivery and trust in local vendors became paramount, driving first-time users to hyperlocal apps. However, supply chain volatility and health protocols increased operational costs for platforms. Many small retailers digitized rapidly through partnerships with neighborhood e-commerce enablers. Regulatory changes allowed expanded delivery hours for essential goods. Post-pandemic, hybrid shopping habits persist, with consumers valuing both speed and community connection. The crisis permanently elevated the role of neighborhood platforms as essential infrastructure for urban resilience and local economic support.

The grocery & food items segment is expected to be the largest during the forecast period

The grocery & food items segment is expected to account for the largest market share during the forecast period, driven by daily recurring demand and low ticket-size purchases. Staple products such as rice, bread, cooking oils, and beverages form the backbone of neighborhood e-commerce transactions. Consumers prioritize speed and freshness for these perishable goods, which hyperlocal platforms are uniquely positioned to deliver. Integration with local kirana stores, butcher shops, and bakeries ensures real-time availability. Rising health consciousness also boosts demand for organic and specialty items.

The on-demand delivery segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the on-demand delivery segment is predicted to witness the highest growth rate, fueled by consumer expectations for instant gratification and real-time order tracking. This model enables purchases to be delivered within 30-90 minutes, leveraging gig economy couriers and dynamic routing algorithms. Restaurants, pharmacies, and small grocery stores increasingly adopt on-demand features to compete with quick-commerce apps. As 5G networks expand, on-demand delivery will become even more seamless, solidifying its leadership in growth.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, due to dense urban populations, high smartphone adoption, and strong local retail culture. Countries like China, India, and Indonesia witness explosive growth in neighborhood e-commerce platforms. Government support for digital payments and small business digitization further accelerates adoption. Low-cost logistics labor and widespread two-wheeler usage enable rapid delivery. Hyperlocal players continuously innovate in inventory sharing and dark store networks, making Asia Pacific the undisputed leader in market size.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by rapid digitalization and expanding internet penetration in emerging economies. Tier-2 and tier-3 cities are increasingly adopting neighborhood delivery apps for daily essentials. Rising middle-class disposable incomes and government-backed digital infrastructure initiatives fuel growth. Local startups are innovating in vernacular interfaces and cash-on-delivery options. As logistics networks mature and consumer trust deepens, Asia Pacific outpaces all other regions in growth rate throughout the forecast period.

Key players in the market

Some of the key players in Neighborhood E-Commerce Market include Amazon, Walmart, Alibaba Group, JD.com, Flipkart, Reliance Retail, Meituan, Delivery Hero, DoorDash, Instacart, Glovo, Rappi, Zomato, Swiggy, and Dunzo.

Key Developments:

In October 2025, Alibaba Group Holding Limited and Ant Group Co., Ltd. announced that they have entered into an agreement to acquire multiple office floors at One Causeway Bay from the Mandarin Oriental International Group for approximately HK$7.2 billion (US $925 million) for use as their Hong Kong headquarters. The acquisition is the largest office property transaction in Hong Kong since 2021.

In July 2025, Swiggy expanded its "Swiggy Swiggy Store" neighborhood commerce vertical to 50 additional tier-2 Indian cities, partnering with local kirana stores to offer 20-minute delivery of household essentials, fresh produce, and pharmaceuticals through a single app interface.

Business Models Covered:

  • Business-to-Consumer (B2C)
  • Business-to-Business (B2B)
  • Consumer-to-Consumer (C2C)
  • Direct-to-Consumer (D2C)

Product Categories Covered:

  • Grocery & Food Items
  • Fresh Produce & Dairy
  • Pharmaceuticals & Healthcare Products
  • Household Essentials
  • Personal Care & Beauty Products
  • Electronics & Small Appliances
  • Apparel & Lifestyle Products

Delivery Models Covered:

  • On-Demand Delivery
  • Same-Day Delivery
  • Scheduled Delivery
  • Click-and-Collect

Platform Types Covered:

  • Mobile Applications
  • Web-Based Platforms
  • Social Commerce Platforms

Payment Methods Covered:

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

End Users Covered:

  • Individual Consumers
  • Small Local Retailers
  • Restaurants & Food Vendors
  • Pharmacies & Healthcare Stores

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 Neighborhood E-Commerce Market, By Business Model

  • 5.1 Business-to-Consumer (B2C)
  • 5.2 Business-to-Business (B2B)
  • 5.3 Consumer-to-Consumer (C2C)
  • 5.4 Direct-to-Consumer (D2C)

6 Global Neighborhood E-Commerce Market, By Product Category

  • 6.1 Grocery & Food Items
  • 6.2 Fresh Produce & Dairy
  • 6.3 Pharmaceuticals & Healthcare Products
  • 6.4 Household Essentials
  • 6.5 Personal Care & Beauty Products
  • 6.6 Electronics & Small Appliances
  • 6.7 Apparel & Lifestyle Products

7 Global Neighborhood E-Commerce Market, By Delivery Model

  • 7.1 On-Demand Delivery
  • 7.2 Same-Day Delivery
  • 7.3 Scheduled Delivery
  • 7.4 Click-and-Collect

8 Global Neighborhood E-Commerce Market, By Platform Type

  • 8.1 Mobile Applications
  • 8.2 Web-Based Platforms
  • 8.3 Social Commerce Platforms

9 Global Neighborhood E-Commerce Market, By Payment Method

  • 9.1 Digital Wallets
  • 9.2 Credit / Debit Cards
  • 9.3 Net Banking
  • 9.4 Cash on Delivery
  • 9.5 Buy Now Pay Later (BNPL)

10 Global Neighborhood E-Commerce Market, By End User

  • 10.1 Individual Consumers
  • 10.2 Small Local Retailers
  • 10.3 Restaurants & Food Vendors
  • 10.4 Pharmacies & Healthcare Stores

11 Global Neighborhood E-Commerce 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 Amazon
  • 14.2 Walmart
  • 14.3 Alibaba Group
  • 14.4 JD.com
  • 14.5 Flipkart
  • 14.6 Reliance Retail (JioMart)
  • 14.7 Meituan
  • 14.8 Delivery Hero
  • 14.9 DoorDash
  • 14.10 Instacart
  • 14.11 Glovo
  • 14.12 Rappi
  • 14.13 Zomato
  • 14.14 Swiggy
  • 14.15 Dunzo

List of Tables

  • Table 1 Global Neighborhood E-Commerce Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Neighborhood E-Commerce Market Outlook, By Business Model (2023-2034) ($MN)
  • Table 3 Global Neighborhood E-Commerce Market Outlook, By Business-to-Consumer (B2C) (2023-2034) ($MN)
  • Table 4 Global Neighborhood E-Commerce Market Outlook, By Business-to-Business (B2B) (2023-2034) ($MN)
  • Table 5 Global Neighborhood E-Commerce Market Outlook, By Consumer-to-Consumer (C2C) (2023-2034) ($MN)
  • Table 6 Global Neighborhood E-Commerce Market Outlook, By Direct-to-Consumer (D2C) (2023-2034) ($MN)
  • Table 7 Global Neighborhood E-Commerce Market Outlook, By Product Category (2023-2034) ($MN)
  • Table 8 Global Neighborhood E-Commerce Market Outlook, By Grocery & Food Items (2023-2034) ($MN)
  • Table 9 Global Neighborhood E-Commerce Market Outlook, By Fresh Produce & Dairy (2023-2034) ($MN)
  • Table 10 Global Neighborhood E-Commerce Market Outlook, By Pharmaceuticals & Healthcare Products (2023-2034) ($MN)
  • Table 11 Global Neighborhood E-Commerce Market Outlook, By Household Essentials (2023-2034) ($MN)
  • Table 12 Global Neighborhood E-Commerce Market Outlook, By Personal Care & Beauty Products (2023-2034) ($MN)
  • Table 13 Global Neighborhood E-Commerce Market Outlook, By Electronics & Small Appliances (2023-2034) ($MN)
  • Table 14 Global Neighborhood E-Commerce Market Outlook, By Apparel & Lifestyle Products (2023-2034) ($MN)
  • Table 15 Global Neighborhood E-Commerce Market Outlook, By Delivery Model (2023-2034) ($MN)
  • Table 16 Global Neighborhood E-Commerce Market Outlook, By On-Demand Delivery (2023-2034) ($MN)
  • Table 17 Global Neighborhood E-Commerce Market Outlook, By Same-Day Delivery (2023-2034) ($MN)
  • Table 18 Global Neighborhood E-Commerce Market Outlook, By Scheduled Delivery (2023-2034) ($MN)
  • Table 19 Global Neighborhood E-Commerce Market Outlook, By Click-and-Collect (2023-2034) ($MN)
  • Table 20 Global Neighborhood E-Commerce Market Outlook, By Platform Type (2023-2034) ($MN)
  • Table 21 Global Neighborhood E-Commerce Market Outlook, By Mobile Applications (2023-2034) ($MN)
  • Table 22 Global Neighborhood E-Commerce Market Outlook, By Web-Based Platforms (2023-2034) ($MN)
  • Table 23 Global Neighborhood E-Commerce Market Outlook, By Social Commerce Platforms (2023-2034) ($MN)
  • Table 24 Global Neighborhood E-Commerce Market Outlook, By Payment Method (2023-2034) ($MN)
  • Table 25 Global Neighborhood E-Commerce Market Outlook, By Digital Wallets (2023-2034) ($MN)
  • Table 26 Global Neighborhood E-Commerce Market Outlook, By Credit / Debit Cards (2023-2034) ($MN)
  • Table 27 Global Neighborhood E-Commerce Market Outlook, By Net Banking (2023-2034) ($MN)
  • Table 28 Global Neighborhood E-Commerce Market Outlook, By Cash on Delivery (2023-2034) ($MN)
  • Table 29 Global Neighborhood E-Commerce Market Outlook, By Buy Now Pay Later (BNPL) (2023-2034) ($MN)
  • Table 30 Global Neighborhood E-Commerce Market Outlook, By End User (2023-2034) ($MN)
  • Table 31 Global Neighborhood E-Commerce Market Outlook, By Individual Consumers (2023-2034) ($MN)
  • Table 32 Global Neighborhood E-Commerce Market Outlook, By Small Local Retailers (2023-2034) ($MN)
  • Table 33 Global Neighborhood E-Commerce Market Outlook, By Restaurants & Food Vendors (2023-2034) ($MN)
  • Table 34 Global Neighborhood E-Commerce Market Outlook, By Pharmacies & Healthcare Stores (2023-2034) ($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.