市場調查報告書
商品編碼
1465215
零售自動化市場:按產品類型、最終用戶分類 - 2024-2030 年全球預測Retail Automation Market by Product (AMR, ASRS, Automated Guided Vehicles), Type (In-house, Warehouse), End-User - Global Forecast 2024-2030 |
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預計2023年零售自動化市場規模為270億美元,預計2024年將達292.1億美元,2030年將達475.1億美元,複合年成長率為8.40%。
零售自動化是指應用技術解決方案和整合來實現零售業務和流程自動化,以提高效率、客戶體驗和業務洞察力。這包括自動收銀系統、庫存管理、盤點機器人、客服機器人、資料分析系統等。目標是提高準確性、降低人事費用、簡化業務並提供優質的客戶服務。自動化使零售商能夠更有效地管理營運、最大限度地減少人為錯誤並最佳化庫存管理。消費者對無縫、響應式服務和個人化的期望正在推動零售自動化的採用。然而,將新技術整合到現有系統中可能會帶來技術挑戰並擾亂當前的營運。特別是,為了實現資料收集和個人化服務,需要解決對消費者隱私和安全的擔憂,如果消費者資料洩露,就會出現對零售自動化的可靠性和安全性的擔憂。然而,主要企業正在探索區塊鏈技術的進步,並利用新的加密演算法和通訊協定來克服隱私問題並保護客戶資料。透過整合先進的人工智慧和機器學習,您可以進一步增強個人化購物體驗、預測趨勢並最佳化庫存管理。
主要市場統計 | |
---|---|
基準年[2023] | 270億美元 |
預測年份 [2024] | 292.1億美元 |
預測年份 [2030] | 475.1億美元 |
複合年成長率(%) | 8.40% |
利用條碼系統進行產品追蹤與庫存管理
自主移動機器人 (AMR) 旨在透過自動化零售環境中的物料輸送和資料收集流程來提高業務效率。使用地圖和感測器進行導航以最佳化庫存補貨和揀貨等任務。自動儲存和搜尋系統 (ASRS0) 系統可自動從指定的儲存位置放置和搜尋物品,提高倉庫業務的速度和準確性,使零售業務後端的庫存管理更加有效。與 AMR 類似,自動導引車 (AGV) 沿著磁條和感測器佈置的固定途徑在零售商店和倉庫內運輸貨物。 AGV 因其簡單性和效率而被廣泛用於重複性物料搬運任務。條碼和條碼掃描器對於零售業的庫存追蹤、價格檢查和快速結帳流程至關重要。條碼是普及的產品識別和資料收集技術之一。零售業的先進攝影機系統不僅可以增強安全性,還可以透過視訊分析提供有價值的見解,幫助零售商了解客戶行為並更有效地管理商店營運。協作機器人 (Cobot) 旨在與人類員工一起工作,處理包裝、堆疊和運輸輕型物體等任務。它因其彈性和安全性而受到高度讚揚。輸送機和分類系統簡化了從卸載貨物到將其分類到指定區域的產品移動和組織過程。它們在確保零售企業儲存和運輸區域的效率方面發揮著重要作用。電子貨架標籤 (ESL) 技術使零售商能夠動態更改貨架標籤上顯示的產品價格和訊息,從而促進即時定價策略並減少交換價格標籤所需的人工工作量。實施需要在零售空間內部署自動化系統,並需要仔細規劃、軟體整合和培訓,以確保無縫運作並從所投資的技術中獲得最大利益。互動式服務站為客戶提供自助服務選項,並提供產品資訊、方向甚至結帳服務等功能,改善客戶體驗並減少員工工作量。 RFID(無線射頻辨識)技術利用電磁場來識別和追蹤附著在物體上的標籤。 RFID 對於庫存管理特別有用,可讓您即時追蹤產品移動和庫存水準。自助結帳系統是一種無需收銀員幫助即可掃描、裝袋和付款的系統。最佳化結帳流程,減少等待時間並改善整體購物體驗。
最終用戶:日益數位化的超級市場對零售自動化的需求
大賣場是超級市場和百貨公司的結合體。大賣場販售各種產品,從食品到日用品。大賣場內的零售自動化包括自助結帳、電子貨架標籤和自動庫存管理系統。這些技術提高了營運效率、客戶體驗和庫存準確性。非食品零售商店主要包括銷售服飾、電器產品、家居用品等非食品產品的商店。這些商店的自動化重點是改善購物體驗和簡化庫存管理。安裝了行動 POS 系統、用於庫存追蹤的 RFID 以及提供資訊和促進購買的互動式服務站。專賣店專注於特定的市場利基,提供狹窄但深入的選擇。在專賣店中使用零售自動化是為了增加客戶參與的深度並改善庫存管理而量身定做的。 CRM 系統、個人化行銷平台和自動補貨系統等工具很常見,可以滿足特定的消費者需求和偏好。超級市場主要以銷售食品為主,生活必需品品種有限。超級市場的自動化範圍廣泛且多樣化,包括網路購物、配送物流、自助結帳和數位付款系統。此外,超級市場經常利用資料分析來獲取客戶洞察和庫存最佳化,使其成為技術整合度最高的零售環境之一。
區域洞察
美洲,特別是美國和加拿大,由於其技術穩健的架構和成熟的零售業,正在積極採用零售自動化。作為零售創新的先驅,美國在自助服務亭、自動化庫存管理系統和人工智慧驅動的客戶服務解決方案等技術的採用方面取得了顯著成長。對人工智慧、機器學習和機器人技術的投資正在成為主流,旨在最大限度地減少人為干預並最佳化零售業務。歐盟國家處於零售自動化的前沿,將智慧貨架、電子貨架標籤和物聯網等數位解決方案整合到零售業務中,以提供個人化的購物體驗和高效的庫存管理。重點是透過智慧零售解決方案實現永續性和減少廢棄物。歐洲、中東和非洲地區智慧城市計畫的擴展有利於零售自動化領域。亞太地區的特點是零售自動化技術的快速採用,其中以中國、日本和印度為首。中國在人工智慧導購、行動付款、電子商務等尖端技術的應用方面處於領先地位,體現了線上線下無縫融合的新零售模式。日本對準確性和效率的重視導致了用於庫存管理和客戶服務的機器人技術以及用於付款和追蹤的 RFID(無線射頻識別)技術的進步。印度正在加速零售業的數位轉型,在「數位印度」等政府措施的支持下,網路購物和數位付款大幅成長。
FPNV定位矩陣
FPNV 定位矩陣對於評估零售自動化市場至關重要。我們檢視與業務策略和產品滿意度相關的關鍵指標,以對供應商進行全面評估。這種深入的分析使用戶能夠根據自己的要求做出明智的決策。根據評估,供應商被分為四個成功程度不同的像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市場佔有率分析
市場佔有率分析是一種綜合工具,可以對零售自動化市場中供應商的現狀進行深入而深入的研究。全面比較和分析供應商在整體收益、基本客群和其他關鍵指標方面的貢獻,以便更好地了解公司的績效及其在爭奪市場佔有率時面臨的挑戰。此外,該分析還提供了對該行業競爭特徵的寶貴見解,包括在研究基準年觀察到的累積、分散主導地位和合併特徵等因素。這種詳細程度的提高使供應商能夠做出更明智的決策並制定有效的策略,從而在市場上獲得競爭優勢。
1. 市場滲透率:提供有關主要企業所服務的市場的全面資訊。
2. 市場開拓:我們深入研究利潤豐厚的新興市場,並分析其在成熟細分市場的滲透率。
3. 市場多元化:提供有關新產品發布、開拓地區、最新發展和投資的詳細資訊。
4. 競爭評估和情報:對主要企業的市場佔有率、策略、產品、認證、監管狀況、專利狀況和製造能力進行全面評估。
5. 產品開發與創新:提供對未來技術、研發活動和突破性產品開發的見解。
1. 零售自動化市場的市場規模與預測是多少?
2.在零售自動化市場的預測期間內,有哪些產品、細分市場、應用程式和領域需要考慮投資?
3. 零售自動化市場的技術趨勢和法規結構是什麼?
4.零售自動化市場主要供應商的市場佔有率為何?
5. 進入零售自動化市場的合適型態和策略手段是什麼?
[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?