市场调查报告书
商品编码
1465215
零售自动化市场:按产品类型、最终用户划分 - 2024-2030 年全球预测Retail Automation Market by Product (AMR, ASRS, Automated Guided Vehicles), Type (In-house, Warehouse), End-User - Global Forecast 2024-2030 |
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预计2023年零售自动化市场规模为270亿美元,预计2024年将达292.1亿美元,2030年将达475.1亿美元,复合年增长率为8.40%。
零售自动化是指应用技术解决方案和整合来实现零售业务和流程自动化,以提高效率、客户体验和业务洞察力。这包括自动收银系统、库存管理、盘点机器人、客服机器人、资料分析系统等。目标是提高准确性、降低人事费用、简化业务并提供优质的客户服务。自动化使零售商能够更有效地管理营运、最大限度地减少人为错误并优化库存管理。消费者对无缝、响应式服务和个人化的期望正在推动零售自动化的采用。然而,将新技术整合到现有系统中可能会带来技术挑战并扰乱当前的营运。特别是,为了实现资料收集和个人化服务,需要解决对消费者隐私和安全的担忧,如果消费者资料洩露,就会出现对零售自动化的可靠性和安全性的担忧。然而,主要企业正在探索区块链技术的进步,并利用新的加密演算法和通讯协定来克服隐私问题并保护客户资料。透过整合先进的人工智慧和机器学习,您可以进一步增强个人化购物体验、预测趋势并优化库存管理。
主要市场统计 | |
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基准年[2023] | 270亿美元 |
预测年份 [2024] | 292.1亿美元 |
预测年份 [2030] | 475.1亿美元 |
复合年增长率(%) | 8.40% |
利用条码系统进行产品追踪与库存管理
自主移动机器人 (AMR) 旨在透过自动化零售环境中的物料输送和资料收集流程来提高业务效率。使用地图和感测器进行导航以优化库存补货和拣货等任务。自动储存和搜寻系统 (ASRS0) 系统可自动从指定的储存位置放置和搜寻物品,提高仓库业务的速度和准确性,使零售业务后端的库存管理更加有效。与 AMR 类似,自动导引车 (AGV) 沿着磁条和感测器布置的固定途径在零售商店和仓库内运输货物。 AGV 因其简单性和效率而被广泛用于重复性物料搬运任务。条码和条码扫描器对于零售业的库存追踪、价格检查和快速结帐流程至关重要。条码是普及的产品识别和资料收集技术之一。零售业的先进摄影机系统不仅可以增强安全性,还可以透过视讯分析提供有价值的见解,帮助零售商了解客户行为并更有效地管理商店营运。协作机器人 (Cobot) 旨在与人类员工一起工作,处理包装、堆迭和运输轻型物体等任务。它因其弹性和安全性而受到高度讚扬。输送机和分类系统简化了从卸载货物到将其分类到指定区域的产品移动和组织过程。它们在确保零售企业储存和运输区域的效率方面发挥着重要作用。电子货架标籤 (ESL) 技术使零售商能够动态更改货架标籤上显示的产品价格和讯息,从而促进即时定价策略并减少交换价格标籤所需的人工工作量。实施需要在零售空间内部署自动化系统,并需要仔细规划、软体整合和培训,以确保无缝运作并从所投资的技术中获得最大利益。互动式服务站为客户提供自助服务选项,并提供产品资讯、方向甚至结帐服务等功能,改善客户体验并减少员工工作量。 RFID(无线射频辨识)技术利用电磁场来识别和追踪附着在物体上的标籤。 RFID 对于库存管理特别有用,可让您即时追踪产品移动和库存水准。自助结帐系统是一种无需收银员帮助即可扫描、装袋和付款的系统。优化结帐流程,减少等待时间并改善整体购物体验。
最终用户:日益数位化的超级市场对零售自动化的需求
大卖场是超级市场和百货公司的结合体。大卖场贩售各种产品,从食品到日用品。大卖场内的零售自动化包括自助结帐、电子货架标籤和自动库存管理系统。这些技术提高了营运效率、客户体验和库存准确性。非食品零售商店主要包括销售服饰、电器产品、家居用品等非食品产品的商店。这些商店的自动化重点是改善购物体验和简化库存管理。安装了行动 POS 系统、用于库存追踪的 RFID 以及提供资讯和促进购买的互动式服务站。专卖店专注于特定的市场利基,提供狭窄但深入的选择。在专卖店中使用零售自动化是为了增加客户参与的深度并改善库存管理而量身定制的。 CRM 系统、个人化行销平台和自动补货系统等工具很常见,可以满足特定的消费者需求和偏好。超级市场主要以销售食品为主,生活必需品品种有限。超级市场的自动化范围广泛且多样化,包括网路购物、配送物流、自助结帐和数位付款系统。此外,超级市场经常利用资料分析来获取客户洞察和库存优化,使其成为技术整合度最高的零售环境之一。
区域洞察
美洲,特别是美国和加拿大,由于其技术稳健的架构和成熟的零售业,正在积极采用零售自动化。作为零售创新的先驱,美国在自助服务亭、自动化库存管理系统和人工智慧驱动的客户服务解决方案等技术的采用方面取得了显着成长。对人工智慧、机器学习和机器人技术的投资正在成为主流,旨在最大限度地减少人为干预并优化零售业务。欧盟国家处于零售自动化的前沿,将智慧货架、电子货架标籤和物联网等数位解决方案整合到零售业务中,以提供个人化的购物体验和高效的库存管理。重点是透过智慧零售解决方案实现永续性和减少废弃物。欧洲、中东和非洲地区智慧城市计画的扩展有利于零售自动化领域。亚太地区的特点是零售自动化技术的快速采用,其中以中国、日本和印度为首。中国在人工智慧导购、行动付款、电子商务等尖端技术的应用方面处于领先地位,体现了线上线下无缝融合的新零售模式。日本对准确性和效率的重视导致了用于库存管理和客户服务的机器人技术以及用于付款和追踪的 RFID(无线射频识别)技术的进步。印度正在加速零售业的数位转型,在「数位印度」等政府措施的支持下,网路购物和数位付款大幅成长。
FPNV定位矩阵
FPNV 定位矩阵对于评估零售自动化市场至关重要。我们检视与业务策略和产品满意度相关的关键指标,以对供应商进行全面评估。这种深入的分析使用户能够根据自己的要求做出明智的决策。根据评估,供应商被分为四个成功程度不同的像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市场占有率分析
市场占有率分析是一种综合工具,可以对零售自动化市场中供应商的现状进行深入而深入的研究。全面比较和分析供应商在整体收益、基本客群和其他关键指标方面的贡献,以便更好地了解公司的绩效及其在争夺市场占有率时面临的挑战。此外,该分析还提供了对该行业竞争特征的宝贵见解,包括在研究基准年观察到的累积、分散主导地位和合併特征等因素。这种详细程度的提高使供应商能够做出更明智的决策并制定有效的策略,从而在市场上获得竞争优势。
1. 市场渗透率:提供有关主要企业所服务的市场的全面资讯。
2. 市场开拓:我们深入研究利润丰厚的新兴市场,并分析其在成熟细分市场的渗透率。
3. 市场多元化:提供有关新产品发布、开拓地区、最新发展和投资的详细资讯。
4. 竞争评估和情报:对主要企业的市场占有率、策略、产品、认证、监管状况、专利状况和製造能力进行全面评估。
5. 产品开发与创新:提供对未来技术、研发活动和突破性产品开发的见解。
1. 零售自动化市场的市场规模与预测是多少?
2.在零售自动化市场的预测期间内,有哪些产品、细分市场、应用程式和领域需要考虑投资?
3. 零售自动化市场的技术趋势和法规结构是什么?
4.零售自动化市场主要供应商的市场占有率为何?
5. 进入零售自动化市场的合适型态和策略手段是什么?
[185 Pages Report] The Retail Automation Market size was estimated at USD 27.00 billion in 2023 and expected to reach USD 29.21 billion in 2024, at a CAGR 8.40% to reach USD 47.51 billion by 2030.
Retail automation refers to the application of technology solutions and integrations to automate retail operations and processes, enhancing efficiency, customer experience, and operational insights. This includes automated checkout systems, inventory management, shelf stocking robots, customer service robots, and data analytics systems. The goal is to improve accuracy, reduce labor costs, streamline operations, and facilitate superior customer service. Automation enables retailers to manage operations more efficiently, minimizing human errors and optimizing inventory management. Consumers' expectations for seamless, quick service and personalization have heightened the adoption of retail automation. However, integrating new technologies with existing systems poses technical challenges and can disrupt current operations. Retailers must navigate consumers' privacy and security concerns, particularly with data collection and personalized services, which can be cumbersome to achieve, and a breach of consumers' data can pose concerns about the reliability and safety of retail automation. However, key players are exploring advancements in blockchain technology and leveraging new encryption algorithms and protocols to overcome privacy issues and safeguard customer's data. Integration of advanced AI and Machine learning can further enhance personalized shopping experiences, forecast trends, and optimize inventory management.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 27.00 billion |
Estimated Year [2024] | USD 29.21 billion |
Forecast Year [2030] | USD 47.51 billion |
CAGR (%) | 8.40% |
Product: Utilization of barcode systems in product tracking and inventory management
Autonomous mobile robots (AMR) are designed to enhance operational efficiencies by automating material handling and data collection processes within the retail environment. They navigate using maps and sensors, optimizing tasks like inventory replenishment and order picking. Automated storage & retrieval systems (ASRS0 systems automate the placement and retrieval of items from defined storage locations, improving warehouse operations' speed and accuracy, thereby supporting the backend of retail businesses in managing inventory more effectively. Similar to AMRs, automated guided vehicles (AGVs) transport goods around a retail or warehouse setting but follow fixed paths laid out by magnetic strips or sensors. They are widely used for their simplicity and efficiency in repetitive material transport tasks. Barcodes and barcode scanners are critical in retail for inventory tracking, price checking, and expedited checkout processes. They are among the most widespread technologies for product identification and data capture. Advanced camera systems in retail enhance security and also provide valuable insights through video analytics, helping retailers understand customer behaviors and manage in-store operations more effectively. Cobots (collaborative robots) are designed to work alongside human employees, handling tasks such as packaging, palletizing, or carrying lightweight items. They are valued for their flexibility and safety features. Conveyor & sortation systems streamline the process of moving and organizing products, from unloading shipments to sorting them into designated areas. They are critical in ensuring efficiency in the storage and dispatch areas of retail. Electronic shelf labels (ESL) technology allows retailers to dynamically change product prices and information displayed on shelf labels, facilitating real-time pricing strategies and reducing the manual labor associated with price tag replacement. Implementation involves the deployment of automated systems within the retail space, requiring careful planning, software integration, and training to ensure seamless operation and maximum benefit from the invested technologies. Interactive kiosks provide self-service options for customers, offering functionalities such as product information, wayfinding, and even checkout services, thereby enhancing customer experience and reducing staff workload. Radiofrequency identification (RFID) technology employs electromagnetic fields to identify and track tags attached to objects. It's particularly useful in inventory management, allowing for real-time tracking of product movements and stock levels. Self-checkout systems empower customers to scan, bag, and pay for their purchases without cashier assistance. They optimize the checkout process, reduce wait times, and improve the overall shopping experience.
End-User: Need for retail automation in supermarkets due to the high level of digitalization
Hypermarkets represent a blend of supermarket and department store formats. They offer a vast array of products under one roof, including full grocery lines and general merchandise. Retail automation within hypermarkets includes self-checkout systems, electronic shelf labels, and automated inventory management systems. These technologies enhance operational efficiency, customer experience, and inventory accuracy. Non-food retail stores encompass outlets that predominantly sell non-food items, such as clothing, electronics, and home furnishings. Automation in these stores focuses on improving the shopping experience and streamlining inventory management. Implementations include mobile point-of-sale (POS) systems, RFID for inventory tracking, and interactive kiosks that offer information and facilitate purchases. Specialty stores concentrate on specific market niches, offering a narrow but deep assortment of merchandise. The use of retail automation within specialty stores is tailored to enhance the depth of customer engagement and improve stock management. Tools such as CRM systems, personalized marketing platforms, and automated replenishment systems are common to keep pace with specialized consumer demands and preferences. Supermarkets are primarily focused on selling food products alongside a limited range of household goods. Automation in supermarkets is extensive and diverse, including online shopping and delivery logistics, self-service checkout, and digital payment systems. Additionally, supermarkets often leverage data analytics for customer insights and inventory optimization, making them one of the most technologically integrated retail environments.
Regional Insights
In the Americas, with a keen focus on the United States and Canada, retail automation has been enthusiastically adopted owing to the technologically robust architecture and established retail industry. The United States, a pioneer in retail innovation, has seen significant growth in the adoption of technologies such as self-service kiosks, automated inventory management systems, and AI-driven customer service solutions. Investments in AI, machine learning, and robotics dominate the landscape, aimed at minimizing human intervention and optimizing retail operations. EU countries are at the forefront of retail automation, integrating digital solutions such as smart shelves, electronic shelf labels, and IoT in retail operations to offer personalized shopping experiences and efficient inventory management. The emphasis is on sustainability and reducing waste through smart retail solutions. The expansion of smart city initiatives in the EMEA region has benefitted the landscape of retail automation. The Asia Pacific region is distinguished by its rapid adoption of retail automation technologies, driven by China, Japan, and India. China leads with cutting-edge technology implementations such as AI-powered shopping assistants, mobile payments, and e-commerce, embodying a new retail model that blends online and offline experiences seamlessly. Japan focuses on precision and efficiency, with advancements in robotics for inventory and customer service roles and radio-frequency identification (RFID) for payment and tracking purposes. India is embracing digital transformation in retail at an accelerated pace, with a significant surge in online shopping and digital payments, supported by government initiatives such as Digital India.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Retail Automation Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Retail Automation Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Key Company Profiles
The report delves into recent significant developments in the Retail Automation Market, highlighting leading vendors and their innovative profiles. These include ABB Ltd., Accenture plc, Adobe Inc., Amazon Web Services, Inc., AstraZeneca plc, Cognizant, Diebold Nixdorf, Fujitsu Limited, Honeywell International Inc., Infosys Limited, Kustomer, Microsoft Corporation, NCR Corporation, Oracle Corporation, SAP SE, SOHAM INC., Square, The International Business Machines Corporation, Toshiba Global Commerce Solutions, and Zebra Technologies.
Market Segmentation & Coverage
1. Market Penetration: It presents comprehensive information on the market provided by key players.
2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
1. What is the market size and forecast of the Retail Automation Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Retail Automation Market?
3. What are the technology trends and regulatory frameworks in the Retail Automation Market?
4. What is the market share of the leading vendors in the Retail Automation Market?
5. Which modes and strategic moves are suitable for entering the Retail Automation Market?