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市场调查报告书
商品编码
1797922

全球暗店市场：预测至 2032 年－按产品类型、配送方式、营运模式、类别、年龄层、技术和地区进行分析

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个工作天内

价格

根据 Stratistics MRC 的数据，全球暗店市场预计在 2025 年达到 293 亿美元，到 2032 年将达到 2,882 亿美元，预测期内的复合年增长率为 38.6%。

幕后店是指专门服务网路购物购物而非店内顾客的零售配销中心或经销店。与传统商店不同，幕后店的功能类似于仓库，用于存放和分拣商品，从而有效率地完成线上订单。这些门市的地理位置优越，旨在加快「最后一公里」配送速度，从而为电商和杂货平台提供快速订单履行服务。幕后店采用最佳化布局，方便快速选择商品，在提升顾客便利性的同时，缩短配送时间并降低营运成本。

Adobe Analytics 的数据显示，2024 年头四个月美国消费者的线上购物支出将达到 3,316 亿美元，比 2023 年同期成长 7%。

快速商务需求不断成长

随着消费者对快速配送杂货和家居用品的需求不断增长，对快速商务的需求正在推动幕后商店市场的成长。这种对速度和便利性的追求促使零售商纷纷采用幕后商店，以实现高效的订单履行、更快的最后一英里配送以及增强的库存管理。随着快速商务成为首选的购物方式，幕后商店正在迅速扩张，为寻求满足消费者期望的零售商提供扩充性、营运效率和竞争优势。

初始设定成本高

高昂的初始设置成本，尤其对于中小型零售商而言，严重阻碍了暗店市场的成长。开设暗店需要在技术、基础设施和物流系统方面投入巨资，这构成了进入的财务壁垒。许多潜在参与者难以获得必要的资金，阻碍了市场扩张。此外，高昂的前期投资成本导致较长的投资回收期，儘管暗店模式具有长期效益，但许多公司仍对其犹豫不决。

都市化和人口密度

都市化和人口密度的不断增长是幕后商店市场的重要驱动力。在空间有限且消费者对即时配送的期望不断提高的情况下，幕后商店为快速商务提供了一种经济高效且扩充性的解决方案。这些商店策略性地选址在人口密集的地区，能够快速履行订单，缩短配送时间并提高客户满意度。都市区日益增长的需求持续推动幕后商店模式的扩张和盈利。

物流挑战

物流挑战为幕后店市场带来了重大障碍，例如复杂的最后一哩配送、库存管理不善以及高昂的营运成本等问题，降低了效率和客户满意度。交通拥堵、仓库基础设施不足以及供应链网路不可靠，进一步延误了准时送达，并削弱了消费者信心。这些障碍增加了营运成本，限制了扩充性，并挤压了盈利，使幕后商店难以满足日益增长的需求并保持竞争力。

COVID-19的影响

新冠疫情催生了暗店市场，零售商争相满足激增的线上需求，加速了暗店市场的成长。封锁和保持社交距离措施促使消费者转向电商，促使杂货店和零售连锁店采用暗店模式来有效率地完成订单。这种转变加快了配送速度，最大限度地减少了商店接触，并优化了库存管理，使暗店从小众物流中心转变为主流零售基础设施。

预计时尚和服装业将成为预测期内最大的产业

由于对服饰和配件快速、非接触式配送的需求不断增长，预计时尚服饰领域将在预测期内占据最大的市场占有率。幕后商店透过提供当日甚至每小时的履约来满足衝动型时尚消费者的需求。电商平台正在利用本地微型履约中心来缩短配送时间并提高存货周转。随着竞争日益激烈以及消费者对速度和多样性的期望不断提高，越来越多的时尚品牌采用幕后店模式来提高客户满意度和客户维繫。

预计饮料业在预测期内的复合年增长率最高

由于易腐烂和时效性商品的快速配送，预计饮料业将在预测期内呈现最高成长率。幕后商店提供温控环境和优化的拣货系统，确保新鲜度和速度。随着快速商务平台扩展到从瓶装饮料到特色啤酒的饮料领域，都市区消费者越来越期待近乎即时的配送服务。这种需求，加上大都会圈饮料消费量的不断增长，正在刺激对饮料专用幕后店基础设施的积极投资。

占比最大的地区：

预计亚太地区将在预测期内占据最大的市场占有率，这得益于其蓬勃发展的电商生态系统、密集的城市人口以及行动优先的消费行为。中国、印度和日本等国家正快速扩张其暗店网络，以满足超当地语系化配送的需求。在人工智慧主导的库存系统和即时物流的支援下，零售商正在将未充分利用的零售空间转变为微型履约中心。该地区的数位转型和都市化趋势使其成为暗店扩张的策略中心。

复合年增长率最高的地区：

预计北美将在预测期内实现最高的复合年增长率，因为这些专门设计的设施简化了库存管理，并减少了最后一英里的配送摩擦，尤其是在交通拥堵的都市区。为了满足日益增长的路边取货和当日送达需求，零售商正在将閒置空间改造成微型履约中心。这种转变最终将透过促进超本地化配送、减少店内客流量和提高营运敏捷性，重新定义客户期望和零售基础设施。

免费客製化服务

此报告的订阅者可以从以下免费自订选项中选择一项：

  • 公司简介
    • 对最多三家其他公司进行全面分析
    • 主要企业的SWOT分析（最多3家公司）
  • 区域分类
    • 根据客户兴趣对主要国家进行的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第 2 章 简介

  • 概述
  • 相关利益者
  • 分析范围
  • 分析方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 分析方法
  • 分析材料
    • 主要研究资料
    • 二手研究资讯来源
    • 先决条件

第三章市场走势分析

  • 介绍
  • 驱动程式
  • 抑制因素
  • 市场机会
  • 威胁
  • 产品分析
  • 技术分析
  • 新兴市场
  • COVID-19的感染疾病

第四章 波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代产品的威胁
  • 新参与企业的威胁
  • 企业之间的竞争

第五章 全球暗店市场（依产品类型）

  • 杂货和食品
  • 饮料
  • 健康与个人保健产品
  • 家庭必需品
  • 电子产品和小工具
  • 时尚与服饰
  • 特色产品
  • 其他产品类型

6. 全球暗店市场（以配送方式）

  • 路边取货
  • 商店取货
  • 宅配

7. 全球暗店市场（依营运模式）

  • 独立暗店
  • 零售连锁店内的综合商店

第八章 全球暗店市场（依类别）

  • 杂货
  • 肉类
  • 乳製品

9. 全球暗店市场（依年龄层）

  • 老年人
  • 孩子们
  • 成人

第十章 全球暗店市场（按技术）

  • 人工拣选
  • 自动拣选

第 11 章 全球暗店市场（按地区）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十二章 重大进展

  • 合约、商业伙伴关係和合资企业
  • 企业合併与收购（M&A）
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十三章：公司概况

  • 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.