查看購物車
  • Simplified Chinese
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1797922

全球暗店市場：預測至 2032 年－按產品類型、配送方式、營運模式、類別、年齡層、技術和地區進行分析

Dark Store Market Forecasts to 2032 - Global Analysis By Product Type, Delivery Option, Operating Model, Category, Age Group, Technology and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球暗店市場預計在 2025 年達到 293 億美元，到 2032 年將達到 2,882 億美元，預測期內的複合年成長率為 38.6%。

幕後店是指專門服務網路購物購物而非店內顧客的零售配銷中心或經銷店。與傳統商店不同，幕後店的功能類似於倉庫，用於存放和分揀商品，從而有效率地完成線上訂單。這些門市的地理位置優越，旨在加快「最後一公里」配送速度，從而為電商和雜貨平台提供快速訂單履行服務。幕後店採用最佳化佈局，方便快速選擇商品，在提升顧客便利性的同時，縮短配送時間並降低營運成本。

Adobe Analytics 的數據顯示，2024 年頭四個月美國消費者的線上購物支出將達到 3,316 億美元，比 2023 年同期成長 7%。

快速商務需求不斷成長

隨著消費者對快速配送雜貨和家居用品的需求不斷成長，對快速商務的需求正在推動幕後商店市場的成長。這種對速度和便利性的追求促使零售商紛紛採用幕後商店，以實現高效的訂單履行、更快的最後一英里配送以及增強的庫存管理。隨著快速商務成為首選的購物方式，幕後商店正在迅速擴張，為尋求滿足消費者期望的零售商提供擴充性、營運效率和競爭優勢。

初始設定成本高

高昂的初始設置成本，尤其對於中小型零售商而言，嚴重阻礙了暗店市場的成長。開設暗店需要在技術、基礎設施和物流系統方面投入巨資，這構成了進入的財務壁壘。許多潛在參與者難以獲得必要的資金，阻礙了市場擴張。此外，高昂的前期投資成本導致較長的投資回收期，儘管暗店模式具有長期效益，但許多公司仍對其猶豫不決。

都市化和人口密度

都市化和人口密度的不斷成長是幕後商店市場的重要驅動力。在空間有限且消費者對即時配送的期望不斷提高的情況下，幕後商店為快速商務提供了一種經濟高效且擴充性的解決方案。這些商店策略性地選址在人口密集的地區，能夠快速履行訂單，縮短配送時間並提高客戶滿意度。都市區日益成長的需求持續推動幕後商店模式的擴張和盈利。

物流挑戰

物流挑戰為幕後店市場帶來了重大障礙，例如複雜的最後一哩配送、庫存管理不善以及高昂的營運成本等問題，降低了效率和客戶滿意度。交通堵塞、倉庫基礎設施不足以及供應鏈網路不可靠，進一步延誤了準時送達，並削弱了消費者信心。這些障礙增加了營運成本，限制了擴充性，並擠壓了盈利，使幕後商店難以滿足日益成長的需求並保持競爭力。

COVID-19的影響

新冠疫情催生了暗店市場，零售商爭相滿足激增的線上需求，加速了暗店市場的成長。封鎖和保持社交距離措施促使消費者轉向電商，促使雜貨店和零售連鎖店採用暗店模式來有效率地完成訂單。這種轉變加快了配送速度，最大限度地減少了商店接觸，並最佳化了庫存管理，使暗店從小眾物流中心轉變為主流零售基礎設施。

預計時尚和服裝業將成為預測期內最大的產業

由於對服飾和配件快速、非接觸式配送的需求不斷成長，預計時尚服飾領域將在預測期內佔據最大的市場佔有率。幕後商店透過提供當日甚至每小時的履約來滿足衝動型時尚消費者的需求。電商平台正在利用本地微型履約中心來縮短配送時間並提高存貨周轉。隨著競爭日益激烈以及消費者對速度和多樣性的期望不斷提高，越來越多的時尚品牌採用幕後店模式來提高客戶滿意度和客戶維繫。

預計飲料業在預測期內的複合年成長率最高

由於易腐爛和時效性商品的快速配送，預計飲料業將在預測期內呈現最高成長率。幕後商店提供溫控環境和最佳化的揀貨系統，確保新鮮度和速度。隨著快速商務平台擴展到從瓶裝飲料到特色啤酒的飲料領域，都市區消費者越來越期待近乎即時的配送服務。這種需求，加上大都會圈飲料消費量的不斷成長，正在刺激對飲料專用幕後店基礎設施的積極投資。

佔比最大的地區：

預計亞太地區將在預測期內佔據最大的市場佔有率，這得益於其蓬勃發展的電商生態系統、密集的城市人口以及行動優先的消費行為。中國、印度和日本等國家正快速擴張其暗店網路，以滿足超當地語系化配送的需求。在人工智慧主導的庫存系統和即時物流的支援下，零售商正在將未充分利用的零售空間轉變為微型履約中心。該地區的數位轉型和都市化趨勢使其成為暗店擴張的策略中心。

複合年成長率最高的地區：

預計北美將在預測期內實現最高的複合年成長率，因為這些專門設計的設施簡化了庫存管理，並減少了最後一英里的配送摩擦，尤其是在交通堵塞的都市區。為了滿足日益成長的路邊取貨和當日送達需求，零售商正在將閒置空間改造成微型履約中心。這種轉變最終將透過促進超本地化配送、減少店內客流量和提高營運敏捷性，重新定義客戶期望和零售基礎設施。

免費客製化服務

此報告的訂閱者可以從以下免費自訂選項中選擇一項：

  • 公司簡介
    • 對最多三家其他公司進行全面分析
    • 主要企業的SWOT分析（最多3家公司）
  • 區域分類
    • 根據客戶興趣對主要國家進行的市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第 2 章 簡介

  • 概述
  • 相關利益者
  • 分析範圍
  • 分析方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 分析方法
  • 分析材料
    • 主要研究資料
    • 二手研究資訊來源
    • 先決條件

第3章市場走勢分析

  • 介紹
  • 驅動程式
  • 抑制因素
  • 市場機會
  • 威脅
  • 產品分析
  • 技術分析
  • 新興市場
  • COVID-19的感染疾病

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代產品的威脅
  • 新參與企業的威脅
  • 企業之間的競爭

第5章 全球暗店市場（依產品類型）

  • 雜貨和食品
  • 飲料
  • 健康與個人保健產品
  • 家庭必需品
  • 電子產品和小工具
  • 時尚與服飾
  • 特色產品
  • 其他產品類型

6. 全球暗店市場（以配送方式）

  • 路邊取貨
  • 商店取貨
  • 宅配

7. 全球暗店市場（依營運模式）

  • 獨立暗店
  • 零售連鎖店內的綜合商店

第8章 全球暗店市場（依類別）

  • 雜貨
  • 肉類
  • 乳製品

9. 全球暗店市場（依年齡層）

  • 老年人
  • 孩子們
  • 成人

第10章 全球暗店市場（按技術）

  • 人工揀選
  • 自動揀選

第 11 章 全球暗店市場（按地區）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第12章 重大進展

  • 合約、商業夥伴關係和合資企業
  • 企業合併與收購（M&A）
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第13章：公司概況

  • Amazon.com, Inc.
  • Walmart, Inc.
  • Target Corporation
  • Instacart
  • Ocado Group plc
  • GoPuff
  • Samokat
  • Getir
  • Blinkit
  • Zepto Technologies Pvt. Ltd.
  • Swiggy
  • Dunzo Digital Pvt. Ltd.
  • DoorDash, Inc.
  • The Kroger Co.
  • Auchan Retail International
  • Wolt
  • Jiffy
  • Delivery Hero
  • FreshDirect, LLC
  • Uber Technologies, Inc.
Product Code: SMRC30292

According to Stratistics MRC, the Global Dark Store Market is accounted for $29.3 billion in 2025 and is expected to reach $288.2 billion by 2032 growing at a CAGR of 38.6% during the forecast period. A dark store is a retail distribution center or outlet that caters exclusively to online shopping, not walk-in customers. Unlike traditional stores, it functions as a warehouse-like space where goods are stocked and picked to fulfill online orders efficiently. These stores are strategically located to speed up last-mile delivery, ensuring faster order fulfillment for e-commerce and grocery platforms. Designed with optimized layouts for quick product selection, dark stores reduce delivery times and operational costs while enhancing customer convenience.

According to Adobe Analytics, US customers spent USD 331.6 billion purchasing online in the first four months of 2024, a 7% increase over the same period in 2023.

Market Dynamics:

Driver:

Rising Demand for Quick Commerce

The rising demand for quick commerce is strongly driving the growth of the dark store market, as consumers increasingly seek ultra-fast delivery of groceries and daily essentials. This shift toward speed and convenience encourages retailers to adopt dark stores for efficient order fulfillment, enabling faster last-mile delivery and enhanced inventory management. With quick commerce becoming a preferred shopping method, dark stores are expanding rapidly, offering scalability, operational efficiency, and a competitive edge to retailers aiming to meet evolving consumer expectations.

Restraint:

High Initial Setup Costs

High initial setup costs significantly hinder the growth of the Dark Store market, especially for small and mid-sized retailers. Establishing these stores demands substantial investment in technology, infrastructure, and logistics systems, creating financial barriers to entry. Many potential players struggle to secure the necessary funding, slowing market expansion. Additionally, the high upfront costs prolong the return on investment period, discouraging businesses from adopting the dark store model despite its long-term benefits.

Opportunity:

Urbanization and Population Density

Rising urbanization and increasing population density are significantly driving the Dark Store market, as concentrated urban centers demand faster, more efficient retail solutions. With limited space and growing consumer expectations for instant delivery, dark stores provide a cost-effective and scalable solution for quick commerce. Their strategic placement in densely populated areas ensures swift order fulfillment, reducing delivery times and boosting customer satisfaction. This growing urban demand continues to accelerate the expansion and profitability of the dark store model.

Threat:

Logistical Challenges

Logistical challenges pose a significant hindrance to the Dark Store market, as issues like last-mile delivery complexities, inventory mismanagement, and high operational costs reduce efficiency and customer satisfaction. Traffic congestion, inadequate warehousing infrastructure, and unreliable supply chain networks further delay timely deliveries, eroding consumer trust. These obstacles increase operational expenses, limit scalability, and strain profitability, making it difficult for dark stores to meet growing demand and maintain a competitive edge.

Covid-19 Impact

The Covid-19 pandemic acted as a catalyst for the dark store market, accelerating its growth as retailers scrambled to meet surging online demand. Lockdowns and social distancing drove consumers toward e-commerce, prompting grocery and retail chains to adopt dark store models for efficient order fulfillment. This shift enabled faster delivery, minimized in-store contact, and optimized inventory management-transforming dark stores from niche logistics hubs into mainstream retail infrastructure.

The fashion and apparel segment is expected to be the largest during the forecast period

The fashion and apparel segment is expected to account for the largest market share during the forecast period, due to rising demand for fast, contactless delivery of clothing and accessories. Dark stores enable same-day or even hourly fulfillment, catering to impulse-driven fashion consumers. E-commerce platforms are leveraging localized micro-fulfillment centers to reduce delivery times and improve inventory turnover. With growing competition and consumer expectations for speed and variety, fashion brands are increasingly adopting dark store models to enhance customer satisfaction and retention.

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

Over the forecast period, the beverages segment is predicted to witness the highest growth rate, due to rapid delivery of perishable and time-sensitive products. Dark stores offer temperature-controlled environments and optimized picking systems, ensuring freshness and speed. As quick commerce platforms expand into beverages-from bottled drinks to specialty brews-urban consumers increasingly expect near-instant delivery. This demand, coupled with rising beverage consumption in metropolitan areas, is fueling aggressive investment in beverage-focused dark store infrastructure.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share due to its booming e-commerce ecosystem, dense urban populations, and mobile-first consumer behavior. Countries like China, India, and Japan are rapidly scaling dark store networks to meet demand for hyperlocal delivery. Retailers are converting underutilized retail spaces into micro-fulfillment centers, supported by AI-driven inventory systems and real-time logistics. The region's digital transformation and urbanization trends make it a strategic hub for dark store expansion.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, because, particularly in crowded urban locations, these specially designed facilities simplify inventory management and lessen last-mile delivery friction. In order to satisfy the growing demand for curbside pickup and same-day delivery, retailers are turning unused spaces into micro-fulfillment hubs. This change ultimately redefines customer expectations and retail infrastructure by promoting hyperlocal distribution, reducing in-store traffic, and improving operational agility.

Key players in the market

Some of the key players profiled in the Dark Store Market include Amazon.com, Inc., Walmart, Inc., Target Corporation, Instacart, Ocado Group plc, GoPuff, Samokat, Getir, Blinkit, Zepto Technologies Pvt. Ltd., Swiggy, Dunzo Digital Pvt. Ltd., DoorDash, Inc., The Kroger Co., Auchan Retail International, Wolt, Jiffy, Delivery Hero, FreshDirect, LLC and Uber Technologies, Inc.

Key Developments:

In August 2025, Amazon Web Services has teamed up with OpenAI to bring the newly released open-weight foundation models-gpt oss 120b and gpt oss 20b-to its global cloud customers via Amazon Bedrock and Amazon SageMaker JumpStart. The larger 120B model delivers real world performance at up to three times the cost efficiency of Gemini, five times cheaper than DeepSeek R1, and twice as efficient as OpenAI's o4 model, making generative AI more powerful and affordable.

In April 2025, Airtel has teamed up with Blinkit to offer an industry-first service-delivering SIM cards to customers' homes in just ten minutes across 16 Indian cities for a convenience fee of ₹49. Customers can select prepaid, postpaid, or MNP options and complete activation via Aadhaar based self KYC at home.

In October 2024, Amazon has signed agreements to develop new small modular reactors in partnership with Energy Northwest in Washington and Dominion Energy in Virginia, and invested over US $500 million in X energy to help deploy more than 5 GW of clean nuclear power by 2039.

Product Types Covered:

  • Grocery and Food Products
  • Beverages
  • Health and Personal Care Products
  • Household Essentials
  • Electronics and Gadgets
  • Fashion and Apparel
  • Specialty Items
  • Other Product Types

Delivery Options Covered:

  • Curbside Pickup
  • In-Store Pickup
  • Home Delivery

Operating Models Covered:

  • Standalone Dark Stores
  • Integrated Stores within Retail Chains

Categories Covered:

  • Groceries
  • Meat
  • Dairy

Age Groups Covered:

  • Elderly
  • Children
  • Adults

Technologies Covered:

  • Manual Picking
  • Automated Picking

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & 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 2024, 2025, 2026, 2028, and 2032
  • 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

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Product Analysis
  • 3.7 Technology Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Dark Store Market, By Product Type

  • 5.1 Introduction
  • 5.2 Grocery and Food Products
  • 5.3 Beverages
  • 5.4 Health and Personal Care Products
  • 5.5 Household Essentials
  • 5.6 Electronics and Gadgets
  • 5.7 Fashion and Apparel
  • 5.8 Specialty Items
  • 5.9 Other Product Types

6 Global Dark Store Market, By Delivery Option

  • 6.1 Introduction
  • 6.2 Curbside Pickup
  • 6.3 In-Store Pickup
  • 6.4 Home Delivery

7 Global Dark Store Market, By Operating Model

  • 7.1 Introduction
  • 7.2 Standalone Dark Stores
  • 7.3 Integrated Stores within Retail Chains

8 Global Dark Store Market, By Category

  • 8.1 Introduction
  • 8.2 Groceries
  • 8.3 Meat
  • 8.4 Dairy

9 Global Dark Store Market, By Age Group

  • 9.1 Introduction
  • 9.2 Elderly
  • 9.3 Children
  • 9.4 Adults

10 Global Dark Store Market, By Technology

  • 10.1 Introduction
  • 10.2 Manual Picking
  • 10.3 Automated Picking

11 Global Dark Store Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Amazon.com, Inc.
  • 13.2 Walmart, Inc.
  • 13.3 Target Corporation
  • 13.4 Instacart
  • 13.5 Ocado Group plc
  • 13.6 GoPuff
  • 13.7 Samokat
  • 13.8 Getir
  • 13.9 Blinkit
  • 13.10 Zepto Technologies Pvt. Ltd.
  • 13.11 Swiggy
  • 13.12 Dunzo Digital Pvt. Ltd.
  • 13.13 DoorDash, Inc.
  • 13.14 The Kroger Co.
  • 13.15 Auchan Retail International
  • 13.16 Wolt
  • 13.17 Jiffy
  • 13.18 Delivery Hero
  • 13.19 FreshDirect, LLC
  • 13.20 Uber Technologies, Inc.

List of Tables

  • Table 1 Global Dark Store Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Dark Store Market Outlook, By Product Type (2024-2032) ($MN)
  • Table 3 Global Dark Store Market Outlook, By Grocery and Food Products (2024-2032) ($MN)
  • Table 4 Global Dark Store Market Outlook, By Beverages (2024-2032) ($MN)
  • Table 5 Global Dark Store Market Outlook, By Health and Personal Care Products (2024-2032) ($MN)
  • Table 6 Global Dark Store Market Outlook, By Household Essentials (2024-2032) ($MN)
  • Table 7 Global Dark Store Market Outlook, By Electronics and Gadgets (2024-2032) ($MN)
  • Table 8 Global Dark Store Market Outlook, By Fashion and Apparel (2024-2032) ($MN)
  • Table 9 Global Dark Store Market Outlook, By Specialty Items (2024-2032) ($MN)
  • Table 10 Global Dark Store Market Outlook, By Other Product Types (2024-2032) ($MN)
  • Table 11 Global Dark Store Market Outlook, By Delivery Option (2024-2032) ($MN)
  • Table 12 Global Dark Store Market Outlook, By Curbside Pickup (2024-2032) ($MN)
  • Table 13 Global Dark Store Market Outlook, By In-Store Pickup (2024-2032) ($MN)
  • Table 14 Global Dark Store Market Outlook, By Home Delivery (2024-2032) ($MN)
  • Table 15 Global Dark Store Market Outlook, By Operating Model (2024-2032) ($MN)
  • Table 16 Global Dark Store Market Outlook, By Standalone Dark Stores (2024-2032) ($MN)
  • Table 17 Global Dark Store Market Outlook, By Integrated Stores within Retail Chains (2024-2032) ($MN)
  • Table 18 Global Dark Store Market Outlook, By Category (2024-2032) ($MN)
  • Table 19 Global Dark Store Market Outlook, By Groceries (2024-2032) ($MN)
  • Table 20 Global Dark Store Market Outlook, By Meat (2024-2032) ($MN)
  • Table 21 Global Dark Store Market Outlook, By Dairy (2024-2032) ($MN)
  • Table 22 Global Dark Store Market Outlook, By Age Group (2024-2032) ($MN)
  • Table 23 Global Dark Store Market Outlook, By Elderly (2024-2032) ($MN)
  • Table 24 Global Dark Store Market Outlook, By Children (2024-2032) ($MN)
  • Table 25 Global Dark Store Market Outlook, By Adults (2024-2032) ($MN)
  • Table 26 Global Dark Store Market Outlook, By Technology (2024-2032) ($MN)
  • Table 27 Global Dark Store Market Outlook, By Manual Picking (2024-2032) ($MN)
  • Table 28 Global Dark Store Market Outlook, By Automated Picking (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.