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市場調查報告書
商品編碼
2074869

零售自動化市場預測至2034年—按解決方案類型、部署模式、技術、應用、最終用戶和地區分類的全球分析

Retail Automation Market Forecasts to 2034 - Global Analysis By Solution Type, Deployment Mode, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球零售自動化市場規模將達到 310 億美元，並在預測期內以 12.0% 的複合年成長率成長，到 2034 年將達到 767 億美元。

零售自動化應用人工智慧、機器人、機器學習和物聯網系統等尖端技術，旨在改善和簡化零售營運。這支援庫存管理、計費系統、客戶支援和供應鏈最佳化等功能。這些技術能夠實現即時分析，從而最大限度地減少錯誤、提高準確性並改善決策。零售商正在採用自動化結帳系統、智慧庫存管理解決方案和機器人倉庫，以提升客戶滿意度和營運效率。這種轉型使企業能夠降低成本、加快服務速度並提供個人化體驗，使全球零售業成為一個更有效率、更具競爭力的產業，最終在全球各地提高盈利、客戶參與和營運擴充性。

根據國際貨幣基金組織（IMF）的《資金取得調查》，全球零售業的數位支付系統正在顯著擴張，例如在印度等經濟體，每月處理的統一支付介面（UPI）交易量超過180億筆。這反映出自動化零售交易基礎設施和無現金系統在現實零售生態系統中的廣泛應用。

人事費用上升和勞動力最佳化

員工薪資上漲和零售業熟練員工短缺正顯著推動零售業自動化技術的普及。企業正在部署自助結帳系統、機器人流程自動化 (RPA) 和人工智慧 (AI) 輔助工具等技術，以減少對人工的依賴。這些系統幫助零售商更有效率地經營業務，同時降低人事費用並最大限度地減少日常營運中的錯誤。隨著人事費用的持續上升，企業正轉向自動化解決方案以維持獲利能力。這種轉變在已開發國家尤其明顯，那裡不斷上漲的工資促使零售商投資自動化技術，以確保長期營運順暢且永續的成本控制。

高昂的初始投資成本

高昂的初始實施成本是限制零售自動化市場成長的主要因素。實施人工智慧、機器人、自動計費系統和智慧庫存管理工具等技術需要大量的資金投入。由於預算限制，中小零售商往往難以實施這些解決方案。除了實施成本外，持續的維護、升級和系統整合成本也增加了額外的財務負擔。這些高額的初始投資要求減緩了技術的普及速度，並限制了其廣泛應用，尤其是在新興市場。因此，儘管自動化技術具有長期效益，但許多零售商仍依賴人工操作。

電子商務與全通路零售的擴張

網路購物和全通路零售的強勁成長為零售自動化創造了巨大的機會。如今，消費者既會光顧實體店，也會使用數位平台，這就要求零售商部署能夠整合庫存、物流和客戶服務流程的自動化系統。智慧倉庫、人工智慧產品提案和即時追蹤工具等技術能夠提高效率並提升使用者體驗。這種整合使企業能夠在所有管道提供無縫且一致的服務。網路普及率的提高和數位轉型正在進一步加速這一趨勢。零售自動化有助於有效管理複雜的零售運營，為企業在這個不斷變化的全球零售環境中帶來強勁的成長潛力。

高昂的實施和維護成本

高昂的實施和維修成本對零售自動化市場構成重大威脅。實施人工智慧系統、機器人和自動支付解決方案等技術需要大量的初始投資。此外，軟體更新、維護、員工培訓和系統整合等持續成本進一步增加了整體成本。這些財務負擔對中小型零售商而言尤其沉重，阻礙了他們採用自動化解決方案。成本挑戰減緩了自動化的普及速度，並在大企業和小型企業之間造成了差距。因此，高成本仍然是零售自動化整體成長和擴張的主要障礙。

新型冠狀病毒（COVID-19）的影響：

新冠疫情對零售自動化市場產生了重大影響，加速了數位化和非接觸式解決方案的普及。疫情期間的限制措施、封鎖和人手不足促使零售商採用自助結帳、網路購物系統、機器人倉庫和人工智慧客服等自動化工具。消費者越來越傾向於安全且非接觸式的購物體驗，從而增加了對自動化技術的投資。疫情期間電子商務的快速成長也推動了物流和供應鏈營運的自動化。儘管疫情初期對商業活動造成了一定影響，但最終加速了零售業自動化的普及，為其在全球市場的長期擴張提供了支撐。

在預測期內，POS（銷售點）系統細分市場預計將佔據最大的市場佔有率。

預計在預測期內，POS（銷售點）系統將佔據最大的市場佔有率，因為它被廣泛應用於幾乎所有類型的零售企業。這些系統在處理銷售交易、追蹤庫存和即時管理營運數據方面發揮著至關重要的作用。現代POS平台具備雲端連接和數據分析功能，幫助零售商了解客戶偏好並提高營運效率。由於其成本相對較低、操作簡便且能夠加快會計流程，POS系統廣受歡迎。作為零售業的核心，POS系統仍然是業界應用最廣泛的自動化技術。

在預測期內，電子商務和線上零售商領域預計將呈現最高的複合年成長率。

在預測期內，電子商務和網路零售業領域預計將呈現最高的成長率，這主要得益於數位購物平台的快速崛起以及消費者日益成長的線上購物需求。對更快的訂單處理速度、高效的庫存管理和可靠的配送系統的需求不斷成長，推動了自動化技術的應用。線上零售商正大力投資人工智慧、自動化倉庫和智慧物流解決方案，以應對不斷成長的交易量。行動商務的擴張和全通路零售策略的整合也進一步促進了該領域的成長。在強大的擴充性和全球技術進步的驅動下，該領域將繼續快速擴張。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這主要得益於其高度發展的技術生態系統和對自動化技術的早期應用。該地區匯集了許多大型零售商和科技公司，它們正大力投資人工智慧、機器人和數位零售解決方案。不斷上漲的人事費用和對提升營運效率的需求，正推動超級市場、大賣場和線上零售平台廣泛採用自動化技術。自助結帳系統系統、智慧零售店和自動化倉庫的普及進一步鞏固了北美的市場地位。對數位轉型的支持以及消費者對便利性的強烈需求，也進一步提升了該地區的市場主導地位。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於快速的都市化、數位技術的廣泛應用以及線上零售平台的強勁擴張。中國、印度、日本和韓國等主要國家正大力投資人工智慧、機器人和智慧零售系統等先進技術。收入成長、中產階級壯大以及智慧型手機普及率的提高，正在推動對自動化零售解決方案的需求。零售商正在採用自助結帳系統系統、智慧庫存管理工具和自動化倉庫等技術來提高效率。政府對零售業數位化和現代化的支持也進一步促進了該地區市場的強勁成長。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要公司進行SWOT分析（最多3家公司）
  • 區域細分
    • 根據客戶要求，我們可以提供主要國家的市場估算和預測，以及複合年成長率（註：需經可行性確認）。
  • 競爭性標竿分析
    • 根據產品系列、企業發展和策略聯盟對重點公司進行基準分析。

目錄

第1章：執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章 全球零售自動化市場：依解決方案類型分類

  • 銷售點（POS）系統
  • 自助結帳系統系統
  • 自動販賣機
  • 智慧貨架和電子貨架標籤（ESL）
  • 自動化倉庫系統（ASRS）
  • 零售機器人
  • 互動資訊亭

第6章 全球零售自動化市場：依部署模式分類

  • 現場
  • 基於雲端的

第7章 全球零售自動化市場：依技術分類

  • 人工智慧（AI）和機器學習
  • 物聯網 (IoT)
  • 電腦視覺
  • 無線射頻識別（RFID）
  • 區塊鏈

第8章 全球零售自動化市場：按應用分類

  • 庫存管理
  • 顧客體驗與互動
  • 支付和交易處理
  • 勞動力管理
  • 供應鍊和物流最佳化
  • 安全和詐欺檢測

第9章 全球零售自動化市場：依最終用戶分類

  • 超級市場和大賣場
  • 便利商店
  • 專賣店
  • 百貨公司
  • 電子商務和線上零售商

第10章 全球零售自動化市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第11章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第12章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第13章：公司簡介

  • Zebra Technologies
  • Honeywell International Inc.
  • NCR Corporation
  • Toshiba Global Commerce Solutions
  • Diebold Nixdorf
  • Fujitsu Limited
  • Posiflex Technology Inc.
  • Kiosk & Display LLC
  • Scandit
  • Epson America, Inc.
  • Pricer AB
  • SES-imagotag
  • Bizerba SE & Co. KG
  • Casio Computer Co., Ltd.
  • Datalogic SpA
  • ELATEC GmbH
  • AKIS Srl
  • StrongPoint ASA
Product Code: SMRC37411

According to Stratistics MRC, the Global Retail Automation Market is accounted for $31.0 billion in 2026 and is expected to reach $76.7 billion by 2034 growing at a CAGR of 12.0% during the forecast period. Retail automation involves applying modern technologies like artificial intelligence, robotics, machine learning, and IoT systems to improve and simplify retail operations. It supports functions such as stock control, billing systems, customer support, and supply chain optimization. These technologies minimize errors, enhance precision, and allow real-time analytics for improved decisions. Retailers adopt automated checkout systems, smart inventory solutions, and robotic warehouses to boost customer satisfaction and efficiency. This shift helps companies lower expenses, accelerate service, and provide personalized experiences, transforming global retail into a more efficient and competitive sector leading to improved profitability, customer engagement, and operational scalability worldwide across regions.

According to IMF Financial Access Survey, global retail digital payment systems have expanded significantly, with economies like India processing over 18 billion UPI transactions per month, reflecting massive adoption of automated retail transaction infrastructure and cashless systems in real-world retail ecosystems.

Market Dynamics:

Driver:

Rising labor costs and workforce optimization

Increasing employee wages and the lack of skilled retail staff are significantly boosting the adoption of retail automation. Businesses are implementing technologies like self-service checkout systems, robotic process automation, and AI-based support tools to reduce reliance on human workers. These systems help retailers operate efficiently while lowering salary-related expenses and reducing mistakes in daily operations. As labor costs continue to rise, companies are moving toward automated solutions to maintain profit margins. This shift is particularly evident in advanced economies where higher wages encourage retailers to invest in automation technologies that ensure smoother operations and sustainable cost control over time.

Restraint:

High initial investment costs

The high cost of initial setup significantly restricts the growth of the retail automation market. Deploying technologies like artificial intelligence, robotics, automated billing systems, and intelligent inventory tools demands large financial investment. Small and mid-sized retail businesses often find it difficult to adopt these solutions because of budget limitations. Along with installation expenses, ongoing costs for maintenance, upgrades, and system integration add further financial pressure. These high upfront requirements slow down adoption rates and restrict widespread implementation, particularly in emerging economies. Consequently, many retailers continue using manual operations despite the potential long-term advantages offered by automation technologies.

Opportunity:

Expansion of e-commerce and omnichannel retail

The strong growth of online shopping and omnichannel retail creates a significant opportunity for retail automation. Customers now use both physical stores and digital platforms, pushing retailers to adopt automated systems that connect inventory, delivery, and customer interaction processes. Technologies like smart warehouses, AI-driven product suggestions, and live tracking tools improve efficiency and enhance user experience. This integration allows businesses to provide smooth and consistent service across all channels. Increasing internet usage and digital transformation further accelerate this trend. Retail automation helps manage complex retail operations effectively, creating strong growth potential for companies in this evolving global retail environment.

Threat:

High implementation and maintenance costs

Expensive installation and upkeep costs are a major threat to the retail automation market. Implementing technologies like AI systems, robotics, and automated payment solutions requires heavy upfront investment. In addition, continuous expenses such as software updates, maintenance, staff training, and system integration further increase overall costs. These financial burdens are particularly difficult for small and medium retailers, restricting their ability to adopt automation solutions. This cost challenge slows down widespread adoption and creates inequality between large corporations and smaller businesses. As a result, high expenses remain a key obstacle to the overall growth and expansion of retail automation.

Covid-19 Impact:

The COVID-19 outbreak greatly influenced the retail automation market by speeding up the use of digital and contactless solutions. Restrictions, lockdowns, and workforce shortages encouraged retailers to implement automation tools such as self-service checkouts, online shopping systems, robotic warehouses, and AI-based customer support. Consumers increasingly preferred safe and touch-free shopping experiences, leading to higher investments in automated technologies. The rapid rise in e-commerce during the pandemic also pushed automation in logistics and supply chain operations. While early disruptions affected business activities, the pandemic ultimately accelerated the adoption of retail automation, supporting its long-term expansion across global markets.

The point-of-sale (POS) systems segment is expected to be the largest during the forecast period

The point-of-sale (POS) systems segment is expected to account for the largest market share during the forecast period because they are commonly used in nearly all types of retail businesses. These systems play a key role in handling sales transactions, tracking inventory, and managing operational data in real time. Advanced POS platforms now offer cloud connectivity and data analytics features that help retailers understand customer preferences and improve efficiency. Their relatively low cost, simplicity, and ability to speed up checkout processes make them highly popular. As a core element of retail operations, POS systems remain the most extensively adopted automation technology in the industry.

The e-commerce & online retailers segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the e-commerce & online retailers segment is predicted to witness the highest growth rate because of the fast rise of digital shopping platforms and increasing consumer shift toward online buying. The demand for faster order processing, efficient inventory handling, and reliable delivery systems is boosting automation adoption. Online retailers are investing significantly in artificial intelligence, automated warehouses, and smart logistics solutions to manage growing transaction volumes. The expansion of mobile commerce and integration of omnichannel retail strategies are further supporting growth. This segment continues to expand rapidly due to strong scalability and ongoing technological advancements worldwide.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share because of its highly developed technological ecosystem and early implementation of automation technologies. The region is home to major retail companies and technology firms that heavily invest in artificial intelligence, robotics, and digital retail solutions. High labor expenses and the need to improve operational efficiency encourage widespread adoption of automation in supermarkets, hypermarkets, and online retail platforms. The popularity of self-checkout systems, smart retail stores, and automated warehouses further strengthens its position. Support for digital transformation and strong consumer expectations for convenience also drive regional market leadership.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR because of rapid urban growth, increasing digital adoption, and strong expansion of online retail platforms. Key countries like China, India, Japan, and South Korea are investing heavily in advanced technologies such as artificial intelligence, robotics, and smart retail systems. Rising incomes, a growing middle-class population, and widespread smartphone usage are boosting demand for automated retail solutions. Retailers are adopting technologies like self-checkout systems, smart inventory tools, and automated warehouses to enhance efficiency. Government support for digitalization and retail modernization is further driving strong market growth in the region.

Key players in the market

Some of the key players in Retail Automation Market include Zebra Technologies, Honeywell International Inc., NCR Corporation, Toshiba Global Commerce Solutions, Diebold Nixdorf, Fujitsu Limited, Posiflex Technology Inc., Kiosk & Display LLC, Scandit, Epson America, Inc., Pricer AB, SES-imagotag, Bizerba SE & Co. KG, Casio Computer Co., Ltd., Datalogic S.p.A., ELATEC GmbH, AKIS S.r.l. and StrongPoint ASA.

Key Developments:

In May 2026, Fujitsu Limited announced that it entered into a strategic partnership with Anthropic PBC. Through this strategic partnership, entered into on May 27th, Fujitsu will combine Anthropic's advanced AI technologies with Fujitsu's long-established industry and business expertise, as well as its capabilities in building and operating systems in mission-critical domains.

In December 2025, Honeywell International Inc. has been awarded a $58.79 million contract modification from the U.S. Department of War for work related to the automotive gas turbine 1500 engine platform. The modification, identified as P00026 to contract W56HZV-20-D-0062, is for program services and systems technical support engineering services. This latest award increases the total cumulative value of the contract to $2.69 billion.

In August 2025, Zebra Technologies Corporation announced it has entered into a definitive agreement to acquire Elo Touch Solutions, Inc., an innovator of solutions that engage customers, enhance self-service, and accelerate automation across retail, hospitality, quick service restaurants (QSR), healthcare, and industrial markets for $1.3 billion in cash.

Solution Types Covered:

  • Point-of-Sale (POS) Systems
  • Self-Checkout Systems
  • Vending Machines
  • Smart Shelves & Electronic Shelf Labels (ESLs)
  • Automated Storage & Retrieval Systems (ASRS)
  • Retail Robots
  • Interactive Kiosks

Deployment Modes Covered:

  • On-Premise
  • Cloud-Based

Technologies Covered:

  • Artificial Intelligence (AI) & Machine Learning
  • Internet of Things (IoT)
  • Computer Vision
  • Radio Frequency Identification (RFID)
  • Blockchain

Applications Covered:

  • Inventory Management
  • Customer Experience & Engagement
  • Payment & Transaction Processing
  • Workforce Management
  • Supply Chain & Logistics Optimization
  • Security & Fraud Detection

End Users Covered:

  • Supermarkets & Hypermarkets
  • Convenience Stores
  • Specialty Stores
  • Department Stores
  • E-Commerce & Online Retailers

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of 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 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • 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

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Retail Automation Market, By Solution Type

  • 5.1 Point-of-Sale (POS) Systems
  • 5.2 Self-Checkout Systems
  • 5.3 Vending Machines
  • 5.4 Smart Shelves & Electronic Shelf Labels (ESLs)
  • 5.5 Automated Storage & Retrieval Systems (ASRS)
  • 5.6 Retail Robots
  • 5.7 Interactive Kiosks

6 Global Retail Automation Market, By Deployment Mode

  • 6.1 On-Premise
  • 6.2 Cloud-Based

7 Global Retail Automation Market, By Technology

  • 7.1 Artificial Intelligence (AI) & Machine Learning
  • 7.2 Internet of Things (IoT)
  • 7.3 Computer Vision
  • 7.4 Radio Frequency Identification (RFID)
  • 7.5 Blockchain

8 Global Retail Automation Market, By Application

  • 8.1 Inventory Management
  • 8.2 Customer Experience & Engagement
  • 8.3 Payment & Transaction Processing
  • 8.4 Workforce Management
  • 8.5 Supply Chain & Logistics Optimization
  • 8.6 Security & Fraud Detection

9 Global Retail Automation Market, By End User

  • 9.1 Supermarkets & Hypermarkets
  • 9.2 Convenience Stores
  • 9.3 Specialty Stores
  • 9.4 Department Stores
  • 9.5 E-Commerce & Online Retailers

10 Global Retail Automation Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.11 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.11 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 Zebra Technologies
  • 13.2 Honeywell International Inc.
  • 13.3 NCR Corporation
  • 13.4 Toshiba Global Commerce Solutions
  • 13.5 Diebold Nixdorf
  • 13.6 Fujitsu Limited
  • 13.7 Posiflex Technology Inc.
  • 13.8 Kiosk & Display LLC
  • 13.9 Scandit
  • 13.10 Epson America, Inc.
  • 13.11 Pricer AB
  • 13.12 SES-imagotag
  • 13.13 Bizerba SE & Co. KG
  • 13.14 Casio Computer Co., Ltd.
  • 13.15 Datalogic S.p.A.
  • 13.16 ELATEC GmbH
  • 13.17 AKIS S.r.l.
  • 13.18 StrongPoint ASA

List of Tables

  • Table 1 Global Retail Automation Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Retail Automation Market Outlook, By Solution Type (2023-2034) ($MN)
  • Table 3 Global Retail Automation Market Outlook, By Point-of-Sale (POS) Systems (2023-2034) ($MN)
  • Table 4 Global Retail Automation Market Outlook, By Self-Checkout Systems (2023-2034) ($MN)
  • Table 5 Global Retail Automation Market Outlook, By Vending Machines (2023-2034) ($MN)
  • Table 6 Global Retail Automation Market Outlook, By Smart Shelves & Electronic Shelf Labels (ESLs) (2023-2034) ($MN)
  • Table 7 Global Retail Automation Market Outlook, By Automated Storage & Retrieval Systems (ASRS) (2023-2034) ($MN)
  • Table 8 Global Retail Automation Market Outlook, By Retail Robots (2023-2034) ($MN)
  • Table 9 Global Retail Automation Market Outlook, By Interactive Kiosks (2023-2034) ($MN)
  • Table 10 Global Retail Automation Market Outlook, By Deployment Mode (2023-2034) ($MN)
  • Table 11 Global Retail Automation Market Outlook, By On-Premise (2023-2034) ($MN)
  • Table 12 Global Retail Automation Market Outlook, By Cloud-Based (2023-2034) ($MN)
  • Table 13 Global Retail Automation Market Outlook, By Technology (2023-2034) ($MN)
  • Table 14 Global Retail Automation Market Outlook, By Artificial Intelligence (AI) & Machine Learning (2023-2034) ($MN)
  • Table 15 Global Retail Automation Market Outlook, By Internet of Things (IoT) (2023-2034) ($MN)
  • Table 16 Global Retail Automation Market Outlook, By Computer Vision (2023-2034) ($MN)
  • Table 17 Global Retail Automation Market Outlook, By Radio Frequency Identification (RFID) (2023-2034) ($MN)
  • Table 18 Global Retail Automation Market Outlook, By Blockchain (2023-2034) ($MN)
  • Table 19 Global Retail Automation Market Outlook, By Application (2023-2034) ($MN)
  • Table 20 Global Retail Automation Market Outlook, By Inventory Management (2023-2034) ($MN)
  • Table 21 Global Retail Automation Market Outlook, By Customer Experience & Engagement (2023-2034) ($MN)
  • Table 22 Global Retail Automation Market Outlook, By Payment & Transaction Processing (2023-2034) ($MN)
  • Table 23 Global Retail Automation Market Outlook, By Workforce Management (2023-2034) ($MN)
  • Table 24 Global Retail Automation Market Outlook, By Supply Chain & Logistics Optimization (2023-2034) ($MN)
  • Table 25 Global Retail Automation Market Outlook, By Security & Fraud Detection (2023-2034) ($MN)
  • Table 26 Global Retail Automation Market Outlook, By End User (2023-2034) ($MN)
  • Table 27 Global Retail Automation Market Outlook, By Supermarkets & Hypermarkets (2023-2034) ($MN)
  • Table 28 Global Retail Automation Market Outlook, By Convenience Stores (2023-2034) ($MN)
  • Table 29 Global Retail Automation Market Outlook, By Specialty Stores (2023-2034) ($MN)
  • Table 30 Global Retail Automation Market Outlook, By Department Stores (2023-2034) ($MN)
  • Table 31 Global Retail Automation Market Outlook, By E-Commerce & Online Retailers (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.