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1889233

本地洗衣和干洗应用程式市场预测至2032年：按服务类型、应用程式类型、用户类型、定价模式、技术和地区分類的全球分析

Local Laundry & Dry-Cleaning Apps Market Forecasts to 2032 - Global Analysis By Service Type, App Type, User Type, Pricing Model, Technology and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的一项研究，预计到 2025 年，全球本地洗衣和干洗应用程式市场价值将达到 841 亿美元，到 2032 年将达到 1,386 亿美元，在预测期内的复合年增长率为 7.4%。

本地洗衣和干洗应用程式是连接消费者与本地洗衣和干洗服务提供者的数位平台，简化了以往耗时的衣物护理流程。这些应用程式支援上门取送预约、即时追踪清洁进度、安全支付，并提供去渍、裁剪和环保清洁等特殊服务。它们利用定位技术，缩短了周转时间，提高了便利性，拉近了本地商家与顾客之间的距离。从日常洗衣到高端服装护理，这些应用程式将日常家务变成流畅、高效且用户友好的体验。

都市化和快节奏的生活方式

都市化加快和生活节奏日益加快是全球本地洗衣和干洗应用程式市场的主要驱动力。随着城市人口的增长和工作生活压力的增加，消费者正在寻找便捷省时的解决方案来处理洗衣和衣物护理等日常事务。本地洗衣和干洗应用程式透过提供上门取送服务、即时追踪和灵活的预约安排来满足这一需求，使用户能够在不影响日常生活的情况下高效地管理家务，从而推动了使用率的提高和市场的成长。

高营运成本

高昂的营运成本是限製本地洗衣和干洗应用程式市场成长的主要因素。管理取送物流、维持服务品质以及整合技术平台都需要大量投资。此外，技术纯熟劳工、环保清洁方法以及维护客户服务标准等相关成本也加重了财务负担。这些因素限制了业务扩张，阻碍了小规模服务供应商进入市场，并给希望在竞争激烈的都市区扩大业务规模的Start-Ups带来了挑战。

数位化进步

数位化快速发展为市场带来了巨大的机会。智慧型手机普及率的提高、网路存取的扩展以及消费者对应用程式服务的日益接受，正在推动日常营运中对数位化解决方案的需求。透过整合即时追踪、无现金支付、忠诚度计画和个人化通知等功能，应用程式可以帮助提升客户参与和留存率。不断扩展的数位基础设施使服务供应商能够触及更广泛的客户群、优化营运并推出创新服务，从而使数位化的广泛应用成为不断发展的洗衣和干洗行业的关键成长动力。

监管障碍

监管壁垒对市场构成重大威胁。遵守当地的劳动法、环境法规和废弃物管理政策会增加服务提供者营运的复杂性和成本。不同地区在化学品使用、健康和安全标准方面的法律体制差异，进一步加剧了挑战，并可能减缓市场扩张。未能达到标准可能导致公司面临罚款和营运限制。在遵守这些法规的同时保持效率和盈利需要周密的计划，而监管壁垒对市场成长构成持续的威胁。

新冠疫情的影响：

新冠疫情透过改变消费者行为和加速非接触式服务的普及，对市场产生了重大影响。保持社交距离的措施和卫生意识的提高，导致上门取送服务的需求激增。服务提供者迅速实施安全措施、推出线上支付和数位化预约系统，以满足客户期望。虽然最初的封锁措施扰乱了业务运营，但这场危机最终却成为成长的催化剂，它促进了以便利性为导向的解决方案的普及，提高了人们对数位平台的依赖，并在全球范围内推动了基于应用程式的洗衣和干洗服务的长期转型。

预计在预测期内，医疗设施细分市场将占据最大的市场份额。

预计在预测期内，医疗保健领域将占据最大的市场份额。医院、诊所和实验室需要频繁且大量地清洗制服、床单和特殊服装，因此可靠的应用程式支援服务至关重要。这些平台可确保及时取件并严格遵守消毒通讯协定。整合的即时追踪、自动调度和配送选项有望提高营运效率、降低感染风险，并帮助医务人员有效管理关键服装，从而显着推动该领域的需求成长。

预计在预测期内，服装单价细分市场将实现最高的复合年增长率。

由于消费者偏好透明且灵活的收费方式，预计在预测期内，按件计费模式将达到最高成长率。消费者更倾向于按件付费，而非大量购买，从而有效控製成本。本地洗衣和干洗应用程式正利用此模式，针对不同布料和衣物复杂程度提供客製化定价。这种方式提高了服务的可及性，鼓励用户频繁使用，并吸引了注重价格的用户，从而帮助服务供应商拓展基本客群，在竞争激烈的都市区市场中获得更高的成长率。

占比最大的地区：

预计亚太地区将在整个预测期内占据最大的市场份额，这主要得益于快速的都市化、不断增长的可支配收入以及日益壮大的中产阶级人口，这些因素共同推动了对便捷洗衣服务的需求。智慧型手机的高普及率以及人们对卫生和环保清洁方式日益增强的意识，也进一步促进了应用程式的普及。此外，饭店和医院等商业机构的增加也促进了服务使用量的成长。该地区多元化的人口结构和充满活力的城市中心使其成为市场成长和技术整合的关键枢纽。

复合年增长率最高的地区：

由于人们越来越重视家务事的便利性、效率和数位化解决方案，预计北美地区在预测期内将实现最高的复合年增长率。先进的技术基础设施、广泛的应用程式使用以及强大的物流网路为无缝的取送服务提供了支援。此外，对环保清洁方案和高端衣物护理的需求不断增长，也推动了应用程式的普及。创新主导的经营模式和精通技术的消费者群体正在推动北美市场的快速扩张，并预示着整个预测期将持续保持高成长。

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目录

第一章执行摘要

第二章 前言

  • 摘要
  • 相关利益者
  • 调查范围
  • 调查方法
  • 研究材料

第三章 市场趋势分析

  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 新兴市场
  • 新冠疫情的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球本地洗衣和干洗应用市场（按服务类型划分）

  • 按需洗衣服务
  • 熨烫服务
  • 干洗服务
  • 特殊衣物护理
  • 洗衣和折迭服务

6. 全球本地洗衣和干洗应用市场（按应用类型划分）

  • 聚合平台
  • 计量收费应用
  • 单服务应用
  • 定期订阅应用

7. 全球本地洗衣和干洗应用市场（按使用者类型划分）

  • 个人消费者
  • 医疗机构
  • 企业客户
  • 饭店及餐饮业

8. 全球本地洗衣和干洗应用市场按定价模式

  • 统一费率制度
  • 订阅套餐
  • 单价
  • 特快/加急服务

9. 全球本地洗衣和干洗应用市场（按技术划分）

  • 人工智慧/自动化
  • 云端基础的管理
  • GPS和即时追踪
  • 支援物联网的智慧型设备
  • 数位支付解决方案

第十章：全球本地洗衣和干洗应用程式市场（按地区划分）

  • 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
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美国家
  • 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

第十一章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 併购
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十二章 企业概况

  • Cleanly
  • Hamperapp
  • Rinse
  • Laundryheap
  • Laundrapp
  • DhobiLite
  • Zipjet
  • Wassup Laundry
  • FlyCleaners
  • Edaixi
  • WashClub
  • Aramark
  • Mulberrys Garment Care
  • TaskRabbit
  • DRYV
Product Code: SMRC32693

According to Stratistics MRC, the Global Local Laundry & Dry-Cleaning Apps Market is accounted for $84.1 billion in 2025 and is expected to reach $138.6 billion by 2032 growing at a CAGR of 7.4% during the forecast period. Local Laundry & Dry-Cleaning Apps are digital platforms designed to connect consumers with nearby laundry and dry-cleaning service providers, streamlining the traditionally time-consuming chore of garment care. These apps allow users to schedule pickups and deliveries, track the cleaning process in real-time, make secure payments, and access special services like stain removal, tailoring, or eco-friendly cleaning. By leveraging location-based technology, they reduce turnaround time and enhance convenience, bridging the gap between local businesses and customers. They cater to both everyday laundry needs and premium garment care, transforming an essential household task into a seamless, efficient, and user-friendly experience.

Market Dynamics:

Driver:

Urbanization & busy lifestyles

The rise of urbanization and increasingly busy lifestyles is a major driver for the Global Local Laundry & Dry-Cleaning Apps Market. As city populations expand and work-life pressures intensify, consumers are seeking convenient, time-saving solutions for routine tasks like laundry and garment care. Local laundry and dry-cleaning apps address this demand by providing doorstep pickup and delivery, real-time tracking, and flexible scheduling, enabling users to manage chores efficiently without disrupting their daily routines, thereby boosting adoption and market growth.

Restraint:

High operational costs

High operational costs present a significant restraint to the growth of the Local Laundry & Dry-Cleaning Apps Market. Managing logistics for pickups and deliveries, maintaining service quality, and integrating technology platforms require substantial investment. Additionally, costs related to skilled labor, eco-friendly cleaning methods, and maintaining customer service standards add to the financial burden. These factors can limit expansion, deter smaller service providers from entering the market, and pose challenges for startups attempting to scale their operations in competitive urban areas.

Opportunity:

Digital adoption

Rapid digital adoption presents a lucrative opportunity for the market. Increased smartphone penetration, internet accessibility, and consumer comfort with app-based services are driving demand for digital solutions in everyday chores. By integrating features like real-time tracking, cashless payments, loyalty programs, and personalized notifications, apps can enhance customer engagement and retention. Expanding digital infrastructure allows service providers to reach a wider audience, optimize operations, and introduce innovative offerings, positioning digital adoption as a key growth catalyst in the evolving laundry and dry-cleaning ecosystem.

Threat:

Regulatory hurdles

Regulatory hurdles pose a critical threat to the market. Compliance with local labor laws, environmental regulations, and waste management policies can increase operational complexity and costs for service providers. Variations in regional legal frameworks regarding chemical usage, health, and safety standards add additional challenges, potentially slowing market expansion. Companies may face fines or operational restrictions if standards are not met. Navigating these regulations while maintaining efficiency and profitability requires careful planning, making regulatory hurdles a persistent threat to market growth.

Covid-19 Impact:

The Covid-19 pandemic significantly impacted the market by altering consumer behavior and accelerating the adoption of contactless services. With social distancing norms and heightened hygiene awareness, demand for home pickup and delivery surged. Service providers rapidly integrated safety protocols, online payments, and digital scheduling to meet customer expectations. While initial lockdowns disrupted operations, the crisis ultimately catalyzed growth by promoting convenience-focused solutions, increasing reliance on digital platforms, and establishing a long-term shift toward app-based laundry and dry-cleaning services globally.

The healthcare facilities segment is expected to be the largest during the forecast period

The healthcare facilities segment is expected to account for the largest market share during the forecast period as hospitals, clinics, and laboratories require frequent, high-volume cleaning of uniforms, linens, and specialty garments, making reliable, app-enabled services essential. These platforms ensure timely pickups and strict adherence to sterilization protocols. The integration of real-time tracking, automated scheduling, and delivery options enhances operational efficiency, reduces infection risks, and supports healthcare staff in managing critical garments effectively, driving substantial demand in this segment.

The per garment pricing segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the per garment pricing segment is predicted to witness the highest growth rate, due to customer preference for transparent and flexible billing. Consumers favor paying based on individual garment types rather than bulk packages, allowing them to manage costs efficiently. Local laundry and dry-cleaning apps leverage this model by offering tailored pricing for different fabrics and garment complexities. This approach increases accessibility, encourages frequent usage, and attracts price-conscious users, enabling service providers to expand their customer base and capture higher growth rates in competitive urban markets.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, due to rapid urbanization, rising disposable incomes, and expanding middle-class populations are driving demand for convenient laundry services. High smartphone penetration and growing awareness of hygiene and eco-friendly cleaning practices further support app adoption. Additionally, increasing numbers of commercial establishments, such as hotels and hospitals, contribute to high service volumes. The region's diverse population and dynamic urban centers make it a significant hub for market growth and technological integration.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, owing to increasingly prioritizes convenience, time efficiency, and digital solutions for household chores. Advanced technological infrastructure, widespread app usage, and strong logistics networks support seamless pickup and delivery services. Moreover, rising demand for eco-friendly cleaning options and premium garment care is boosting app adoption. Innovation-driven business models and a tech-savvy consumer base position North America for rapid market expansion, reflecting sustained high growth throughout the forecast period.

Key players in the market

Some of the key players in Local Laundry & Dry-Cleaning Apps Market include Cleanly, Hamperapp, Rinse, Laundryheap, Laundrapp, DhobiLite, Zipjet, Wassup Laundry, FlyCleaners, Edaixi, WashClub, Aramark, Mulberrys Garment Care, TaskRabbit and DRYV.

Key Developments:

In June 2025, ZIPS Cleaners, has formed a partnership with Mulberrys Garment Care to expand premium garment-care services across the United States. Under this agreement, VDA becomes the exclusive developer of Mulberrys franchise locations nationwide, enabling Mulberrys to bring its boutique-style, high-touch dry cleaning, laundry, tailoring and specialty garment care including eco-friendly, toxin-free cleaning with upscale packaging, wooden hangers and attention to detail to new markets starting with the Baltimore/Washington, D.C. area.the latter's

In May 2025, Mulberrys Garment Care is launching a new branch in McLean, Virginia, introducing its signature luxury-style garment care services to this community, offering residents a refined alternative to standard dry-cleaning, complete with eco-friendly, toxin-free cleaning and a "high-touch," boutique-inspired experience.

Service Types Covered:

  • On-Demand Laundry
  • Ironing/Pressing Services
  • Dry-Cleaning Services
  • Specialty Garment Care
  • Wash & Fold Services

App Types Covered:

  • Aggregator Platforms
  • Pay-Per-Use Apps
  • Single-Service Provider Apps
  • Subscription-Based Apps

User Types Covered:

  • Individual Consumers
  • Healthcare Facilities
  • Corporate Clients
  • Hotels & Hospitality

Pricing Models Covered:

  • Flat Rate
  • Subscription Packages
  • Per Garment Pricing
  • Premium/Express Services

Technologies Covered:

  • AI & Automation
  • Cloud-Based Management
  • GPS & Real-Time Tracking
  • IoT-Enabled Smart Devices
  • Digital Payment Solutions

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 Technology Analysis
  • 3.7 Emerging Markets
  • 3.8 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 Local Laundry & Dry-Cleaning Apps Market, By Service Type

  • 5.1 Introduction
  • 5.2 On-Demand Laundry
  • 5.3 Ironing/Pressing Services
  • 5.4 Dry-Cleaning Services
  • 5.5 Specialty Garment Care
  • 5.6 Wash & Fold Services

6 Global Local Laundry & Dry-Cleaning Apps Market, By App Type

  • 6.1 Introduction
  • 6.2 Aggregator Platforms
  • 6.3 Pay-Per-Use Apps
  • 6.4 Single-Service Provider Apps
  • 6.5 Subscription-Based Apps

7 Global Local Laundry & Dry-Cleaning Apps Market, By User Type

  • 7.1 Introduction
  • 7.2 Individual Consumers
  • 7.3 Healthcare Facilities
  • 7.4 Corporate Clients
  • 7.5 Hotels & Hospitality

8 Global Local Laundry & Dry-Cleaning Apps Market, By Pricing Model

  • 8.1 Introduction
  • 8.2 Flat Rate
  • 8.3 Subscription Packages
  • 8.4 Per Garment Pricing
  • 8.5 Premium/Express Services

9 Global Local Laundry & Dry-Cleaning Apps Market, By Technology

  • 9.1 Introduction
  • 9.2 AI & Automation
  • 9.3 Cloud-Based Management
  • 9.4 GPS & Real-Time Tracking
  • 9.5 IoT-Enabled Smart Devices
  • 9.6 Digital Payment Solutions

10 Global Local Laundry & Dry-Cleaning Apps Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Cleanly
  • 12.2 Hamperapp
  • 12.3 Rinse
  • 12.4 Laundryheap
  • 12.5 Laundrapp
  • 12.6 DhobiLite
  • 12.7 Zipjet
  • 12.8 Wassup Laundry
  • 12.9 FlyCleaners
  • 12.10 Edaixi
  • 12.11 WashClub
  • 12.12 Aramark
  • 12.13 Mulberrys Garment Care
  • 12.14 TaskRabbit
  • 12.15 DRYV

List of Tables

  • Table 1 Global Local Laundry & Dry-Cleaning Apps Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Local Laundry & Dry-Cleaning Apps Market Outlook, By Service Type (2024-2032) ($MN)
  • Table 3 Global Local Laundry & Dry-Cleaning Apps Market Outlook, By On-Demand Laundry (2024-2032) ($MN)
  • Table 4 Global Local Laundry & Dry-Cleaning Apps Market Outlook, By Ironing/Pressing Services (2024-2032) ($MN)
  • Table 5 Global Local Laundry & Dry-Cleaning Apps Market Outlook, By Dry-Cleaning Services (2024-2032) ($MN)
  • Table 6 Global Local Laundry & Dry-Cleaning Apps Market Outlook, By Specialty Garment Care (2024-2032) ($MN)
  • Table 7 Global Local Laundry & Dry-Cleaning Apps Market Outlook, By Wash & Fold Services (2024-2032) ($MN)
  • Table 8 Global Local Laundry & Dry-Cleaning Apps Market Outlook, By App Type (2024-2032) ($MN)
  • Table 9 Global Local Laundry & Dry-Cleaning Apps Market Outlook, By Aggregator Platforms (2024-2032) ($MN)
  • Table 10 Global Local Laundry & Dry-Cleaning Apps Market Outlook, By Pay-Per-Use Apps (2024-2032) ($MN)
  • Table 11 Global Local Laundry & Dry-Cleaning Apps Market Outlook, By Single-Service Provider Apps (2024-2032) ($MN)
  • Table 12 Global Local Laundry & Dry-Cleaning Apps Market Outlook, By Subscription-Based Apps (2024-2032) ($MN)
  • Table 13 Global Local Laundry & Dry-Cleaning Apps Market Outlook, By User Type (2024-2032) ($MN)
  • Table 14 Global Local Laundry & Dry-Cleaning Apps Market Outlook, By Individual Consumers (2024-2032) ($MN)
  • Table 15 Global Local Laundry & Dry-Cleaning Apps Market Outlook, By Healthcare Facilities (2024-2032) ($MN)
  • Table 16 Global Local Laundry & Dry-Cleaning Apps Market Outlook, By Corporate Clients (2024-2032) ($MN)
  • Table 17 Global Local Laundry & Dry-Cleaning Apps Market Outlook, By Hotels & Hospitality (2024-2032) ($MN)
  • Table 18 Global Local Laundry & Dry-Cleaning Apps Market Outlook, By Pricing Model (2024-2032) ($MN)
  • Table 19 Global Local Laundry & Dry-Cleaning Apps Market Outlook, By Flat Rate (2024-2032) ($MN)
  • Table 20 Global Local Laundry & Dry-Cleaning Apps Market Outlook, By Subscription Packages (2024-2032) ($MN)
  • Table 21 Global Local Laundry & Dry-Cleaning Apps Market Outlook, By Per Garment Pricing (2024-2032) ($MN)
  • Table 22 Global Local Laundry & Dry-Cleaning Apps Market Outlook, By Premium/Express Services (2024-2032) ($MN)
  • Table 23 Global Local Laundry & Dry-Cleaning Apps Market Outlook, By Technology (2024-2032) ($MN)
  • Table 24 Global Local Laundry & Dry-Cleaning Apps Market Outlook, By AI & Automation (2024-2032) ($MN)
  • Table 25 Global Local Laundry & Dry-Cleaning Apps Market Outlook, By Cloud-Based Management (2024-2032) ($MN)
  • Table 26 Global Local Laundry & Dry-Cleaning Apps Market Outlook, By GPS & Real-Time Tracking (2024-2032) ($MN)
  • Table 27 Global Local Laundry & Dry-Cleaning Apps Market Outlook, By IoT-Enabled Smart Devices (2024-2032) ($MN)
  • Table 28 Global Local Laundry & Dry-Cleaning Apps Market Outlook, By Digital Payment Solutions (2024-2032) ($MN)

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