查看購物車
  • Simplified Chinese
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1494882

2030 年智慧零售市場預測：按解決方案、技術、應用、最終用戶和地區進行的全球分析

Smart Retail Market Forecasts to 2030 - Global Analysis By Solution (Hardware, Software and Services), Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據Stratistics MRC預測，2024年全球智慧零售市場規模將達519億美元，預計2030年將達到2,639億美元，預測期內年複合成長率為31.1%。

智慧零售利用先進技術來改善購物體驗、簡化業務並提高效率。整合物聯網 (IoT) 設備、人工智慧 (AI) 和資料分析，打造個人化、無縫的客戶旅程。在智慧商店中，RFID標籤和感測器即時追蹤庫存，以減少缺貨和積壓。人工智慧驅動的市場動態提供了對消費行為的洞察，從而實現動態定價和有針對性的行銷。自動結帳系統，例如 Amazon Go 的「Just walk out」技術，可以消除排隊並增加便利性。

根據國際智慧零售組織（ICO）的數據，全球智慧零售袋出口量從2019年2月的1,083萬件增加到2020年2月的1,111萬件，一年內成長了2.6%。

融合人工智慧、物聯網等技術

人工智慧驅動的系統可以分析客戶資料，並透過聊天機器人和虛擬助理提供個人化建議、預測性見解和改進的客戶服務。智慧貨架和信標等物聯網設備透過為消費者提供即時資訊和個人化優惠來改善店內體驗。此外，物聯網感測器即時監控貨物的狀況和位置，人工智慧分析這些資料以預測中斷、最佳化路線並縮短交貨時間，從而提高供應鏈的彈性和反應能力，並促進市場成長。

昂貴的前期投資

實施人工智慧、物聯網和資料分析等先進技術需要在硬體、軟體、基礎設施和員工培訓方面進行大量初始投資。這種高成本可能是一個主要障礙，特別是對於預算有限的中小型零售商。此外，整合這些技術的複雜性和規模可能會導致實施時間過長並對現有業務造成干擾。零售商也可能面臨不確定性的投資回報（ROI）。

消費者個性化需求

當今的消費者期望根據他們的個人偏好和行為量身定做的體驗。這種需求促使零售商部署人工智慧 (AI)、機器學習和資料分析等先進技術來收集和分析客戶資料。此外，智慧貨架和數位顯示器等店內技術可提供即時個人化優惠和訊息，增強購物體驗並促進市場發展。

抵制新科技引進

從經營團隊的觀點來看，不願投資新技術源於對初始成本、對現有流程的潛在破壞以及投資收益的不確定性的擔憂。員工可能會因為擔心離職、缺乏培訓或對新工具和系統感到不適而抵制變革。此外，如果客戶認為新技術具有侵入性、複雜性、不可靠或市場障礙，他們可能不願意接受新技術。

COVID-19 的影響

COVID-19 對智慧零售供應鏈產生了負面影響，由於物流和運輸限制阻礙了貨物的流動。不僅消費者的交貨被推遲，零售商的交貨也被推遲。智慧零售業在疫情爆發之前就已經實現了健康的年複合成長率，自 COVID-19 爆發以來，智慧零售業經歷了快速成長。疫情情勢不確定，未來幾個月無法預測，因此監管機構的安全措施正在迅速變化。非接觸式操作和減少的社交距離使消費者能夠獲得替代零售解決方案，使智慧零售在日常生活中發揮重要作用。

軟體部分預計將在預測期內成為最大的部分

由於全球零售商擴大採用分析軟體來了解特定的最終用戶需求和行為並改善客戶參與和購物體驗，預計軟體將在預測期內達到高峰。隨著零售投資的增加，分析不斷變化的消費者偏好和關注以客戶為中心的行銷的需求也在增加。預計這將為智慧零售分析創造巨大的機會。

行銷和廣告業預計在預測期內年複合成長率最高

零售商也考慮透過有吸引力的商店、數位電子看板、室內展示、最先進的照明等進行視覺行銷，作為智慧零售解決方案吸引客戶的先決條件之一，因此行銷和廣告部門是。內部表現出最高的年複合成長率。此外，社群媒體行銷對於吸引千禧世代特別有幫助。這使得零售商能夠專注於提供無摩擦的購物體驗，並將社群媒體的干擾降至最低。因此，2020年，視覺行銷將佔據市場的大部分佔有率。

比最大的地區

由於對奢侈品和高階產品的需求不斷成長，以及客戶對更方便、更省時的零售體驗的偏好迅速變化，預計北美將在預測期內佔據最大的市場佔有率。數位技術在所有應用領域的採用正在重塑美國經濟。疫情後的影響正在影響零售業，企業數位化的速度比之前計畫的要快。

年複合成長率最高的地區：

由於巨量資料分析、智慧化妝鏡、接待機器人和導購機器人等智慧零售解決方案在日本和中國等國家的應用不斷成長，亞太地區在預測期內將保持最高的年複合成長率。成長。除了阿里巴巴和亞馬遜等大型智慧零售公司之外，中小型供應商也計劃利用這個機會。

提供免費客製化：

訂閱此報告的客戶可以存取以下免費自訂選項之一：

  • 公司簡介
    • 其他市場參與者的綜合分析（最多 3 家公司）
    • 主要企業SWOT分析（最多3家企業）
  • 區域分割
    • 根據客戶興趣對主要國家的市場估計、預測和年複合成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二次研究資訊來源
    • 先決條件

第3章市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19 的影響

第4章波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章全球智慧零售市場：按解決方案

  • 硬體
  • 軟體
  • 服務

第6章全球智慧零售市場：依技術分類

  • 物聯網 (IoT)
  • 擴增實境(AR) 和虛擬實境 (VR)
  • 巨量資料和分析
  • 機器學習
  • 區塊鏈
  • 機器人和自動化
  • 行動技術和雲端運算
  • 其他技術

第7章全球智慧零售市場：依應用分類

  • 庫存控制
  • 客戶體驗
  • 結帳和付款
  • 供應鏈管理
  • 安全和損失預防
  • 店內導航
  • 行銷和廣告
  • 客戶分析
  • 其他用途

第8章全球智慧零售市場：依最終用戶分類

  • 實體零售商
    • 超級市場和大賣場
    • 百貨公司
    • 便利商店
  • 電子商務公司
    • 網路零售商
    • 全通路零售商
  • 購物中心
  • 消費品製造商
    • 品牌店
    • 快閃店
  • 食品和飲料零售商
  • 娛樂和招待
  • 其他最終用戶

第9章全球智慧零售市場：按地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東/非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲

第10章 主要進展

  • 合約、夥伴關係、協作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第11章 公司概況

  • Adroit Worldwide Media Inc.
  • Amazon.com, Inc.
  • Cisco Systems, Inc.
  • Google LLC
  • Honeywell International Inc.
  • Huawei Technologies Co., Ltd.
  • IBM Corporation
  • Ingenico, Fiserv, Inc.
  • Intel Corporation
  • LG Display Co., Ltd.
  • NCR Corporation
  • NVIDIA Corporation
  • NXP Semiconductors
  • PAX Global Technology Limited
  • PTC
  • Samsung Electronics
  • Verifone Systems
  • Zippin
Product Code: SMRC26402

According to Stratistics MRC, the Global Smart Retail Market is accounted for $51.9 billion in 2024 and is expected to reach $263.9 billion by 2030 growing at a CAGR of 31.1% during the forecast period. Smart Retail leverages advanced technologies to enhance the shopping experience, streamline operations, and increase efficiency. It integrates Internet of Things (IoT) devices, artificial intelligence (AI), and data analytics to create personalized and seamless customer journeys. In smart stores, RFID tags and sensors track inventory in real-time, reducing stockouts and overstock situations. AI-driven analytics provide insights into consumer behavior, enabling dynamic pricing and targeted marketing. Automated checkout systems, such as Amazon Go's "just walk out" technology, eliminate long lines and improve convenience.

According to the International Smart Retail Organization (ICO), global exports of Smart Retail bags increased from 10.83 million in February 2019 to 11.11 million in February 2020, marking a 2.6% growth within a year.

Market Dynamics:

Driver:

Integration of AI, IoT, and other technologies

AI-powered systems can analyze customer data to offer personalized recommendations, predictive insights, and improved customer service through chatbots and virtual assistants. IoT devices, such as smart shelves and beacons, enhance in-store experiences by providing real-time information and personalized offers to shoppers. Additionally IoT sensors monitor the condition and location of goods in real-time, while AI analyzes this data to predict disruptions, optimize routes, and improve delivery times, ensuring a more resilient and responsive supply chain encouraging the market growth.

Restraint:

High upfront investment

Implementing advanced technologies such as AI, IoT, and data analytics requires substantial initial capital outlay for hardware, software, infrastructure, and employee training. This high cost can be a major barrier, especially for small and medium-sized retailers with limited budgets. Additionally, the complexity and scale of integrating these technologies can lead to prolonged implementation periods and potential disruptions to existing operations. Retailers may also face uncertainties regarding the return on investment (ROI), as benefits might not be immediately apparent.

Opportunity:

Consumer demand for personalization

Modern shoppers increasingly expect tailored experiences that cater to their individual preferences and behaviors. This demand drives retailers to adopt advanced technologies such as artificial intelligence (AI), machine learning, and data analytics to gather and analyze customer data. Additionally, in-store technologies like smart shelves and digital displays provide real-time, personalized offers and information, improving the shopping experience boosting the market.

Threat:

Resistance to adopting new technologies

From a management perspective, reluctance to invest in new technologies stems from concerns about the initial costs, potential disruptions to existing processes, and uncertainty about the return on investment. Employees may resist change due to fear of job displacement, lack of training, or discomfort with new tools and systems. Additionally, customers may hesitate to embrace new technologies if they perceive them as intrusive, complex, or unreliable hamper the market.

Covid-19 Impact

COVID-19 has been adverse on the supply chain of smart retail, hampering the movement of goods due to logistics and travel restrictions. Deliveries have been deferred for retailers as well as consumers. The smart retailing industry, which had registered a healthy CAGR even before the pandemic, has grown steeply since the COVID-19 outburst. As the pandemic situation is uncertain and cannot be anticipated for the coming months, safety measures levied by regulatory bodies are varying rapidly. Contactless operations and social distancing are enabling consumers to access substitute retailing solutions; this is where smart retail plays a vital role in daily life.

The software segment is expected to be the largest during the forecast period

The software is expected to be the largest during the forecast period due to increasing the adoption of analytics software by retailers across the world, to understand specific end-user's needs and behavior to improve customer engagement and the shopping experience is one of the crucial factors stimulating the growth of the segment. The need to analyze the changing consumer preferences and put a strong emphasis on customer-centric marketing is also growing in line with the rising retail investment. This is anticipated to create immense opportunities for analytics in smart retailing.

The marketing and advertising segment is expected to have the highest CAGR during the forecast period

The marketing and advertising segment is expected to have the highest CAGR during the forecast period as retailers are also considering visual marketing through appealing storefronts, digital signage, interior displays, and state-of-the-art lighting as one of the essential requirements for a smart retail solution to engage customers. Moreover, social media marketing has particularly helped in attracting the millennial population. It has enabled retailers to focus on providing a smooth shopping experience with minimal interference from social media. Hence, in 2020 visual marketing accounted for the majority share of the market.

Region with largest share:

North America is projected to hold the largest market share during the forecast period due to the growing demand for luxury goods and premium items and the rapidly-changing customer preferences for more convenient and less time-intensive retail experiences. The increasing adoption of digital technology across every application area is restructuring the U.S. economy. The post-pandemic effect has impacted the retail industry by digitally transforming businesses faster than previously planned.

Region with highest CAGR:

Asia Pacific is projected to hold the highest CAGR over the forecast period owing to the growing application of smart retail solutions such as big data analytics, intelligent dressing mirrors, reception robots, and shopping guide robots in countries such as Japan and China is expected to drive regional market growth. Apart from big smart retailing players such as Alibaba and Amazon, smaller providers also plan to tap into this opportunity.

Key players in the market

Some of the key players in Smart Retail market include Adroit Worldwide Media Inc., Amazon.com, Inc., Cisco Systems, Inc., Google LLC, Honeywell International Inc., Huawei Technologies Co., Ltd., IBM Corporation, Ingenico, Fiserv, Inc., Intel Corporation, LG Display Co., Ltd., NCR Corporation, NVIDIA Corporation, NXP Semiconductors, PAX Global Technology Limited, PTC, Samsung Electronics, Verifone Systems and Zippin

Key Developments:

In June 2024, Honeywell Completes Acquisition Of Carrier's Global Access Solutions Business And Updates 2024 Outlook. This transaction also strengthens Honeywell's alignment of its portfolio around three compelling megatrends, including automation, and complements Honeywell's Building Automation segment.

In May 2024, Lenovo and Cisco Announce Strategic Partnership to Simplify Path to AI Innovation. The two companies agree to design, engineer and deliver deeply integrated solutions that advance generative AI capabilities and digital workplace solutions to boost enterprise productivity

In May 2024, AT&T and Cisco Introduce a Simpler Way to Deploy 5G Fixed Wireless Access for Businesses. With an integrated digital purchasing experience of AT&T's wireless WAN service and instant-on provisioning from AT&T, businesses can easily extend 5G FWA across campus and branch environments.

Solutions Covered:

  • Hardware
  • Software
  • Services

Technologies Covered:

  • Internet of Things (IoT)
  • Augmented Reality (AR) and Virtual Reality (VR)
  • Big Data and Analytics
  • Machine Learning
  • Blockchain
  • Robotics and Automation
  • Mobile Technologies & Cloud Computing
  • Other Technologies

Applications Covered:

  • Inventory Management
  • Customer Experience
  • Checkout and Payment
  • Supply Chain Management
  • Security and Loss Prevention
  • In-Store Navigation
  • Marketing and Advertising
  • Customer Analytics
  • Other Applications

End Users Covered:

  • Brick-and-Mortar Retailers
  • E-commerce Companies
  • Shopping Malls
  • Consumer Goods Manufacturers
  • Food & Beverage Retailers
  • Entertainment and Hospitality
  • Other End Users

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 2022, 2023, 2024, 2026, and 2030
  • 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 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 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 Smart Retail Market, By Solution

  • 5.1 Introduction
  • 5.2 Hardware
  • 5.3 Software
  • 5.4 Services

6 Global Smart Retail Market, By Technology

  • 6.1 Introduction
  • 6.2 Internet of Things (IoT)
  • 6.3 Augmented Reality (AR) and Virtual Reality (VR)
  • 6.4 Big Data and Analytics
  • 6.5 Machine Learning
  • 6.6 Blockchain
  • 6.7 Robotics and Automation
  • 6.8 Mobile Technologies & Cloud Computing
  • 6.9 Other Technologies

7 Global Smart Retail Market, By Application

  • 7.1 Introduction
  • 7.2 Inventory Management
  • 7.3 Customer Experience
  • 7.4 Checkout and Payment
  • 7.5 Supply Chain Management
  • 7.6 Security and Loss Prevention
  • 7.7 In-Store Navigation
  • 7.8 Marketing and Advertising
  • 7.9 Customer Analytics
  • 7.10 Other Applications

8 Global Smart Retail Market, By End User

  • 8.1 Introduction
  • 8.2 Brick-and-Mortar Retailers
    • 8.2.1 Supermarkets and Hypermarkets
    • 8.2.2 Department Stores
    • 8.2.3 Convenience Stores
  • 8.3 E-commerce Companies
    • 8.3.1 Online Retailers
    • 8.3.2 Omnichannel Retailers
  • 8.4 Shopping Malls
  • 8.5 Consumer Goods Manufacturers
    • 8.5.1 Brand Stores
    • 8.5.2 Pop-up Stores
  • 8.6 Food & Beverage Retailers
  • 8.7 Entertainment and Hospitality
  • 8.8 Other End Users

9 Global Smart Retail Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 Adroit Worldwide Media Inc.
  • 11.2 Amazon.com, Inc.
  • 11.3 Cisco Systems, Inc.
  • 11.4 Google LLC
  • 11.5 Honeywell International Inc.
  • 11.6 Huawei Technologies Co., Ltd.
  • 11.7 IBM Corporation
  • 11.8 Ingenico, Fiserv, Inc.
  • 11.9 Intel Corporation
  • 11.10 LG Display Co., Ltd.
  • 11.11 NCR Corporation
  • 11.12 NVIDIA Corporation
  • 11.13 NXP Semiconductors
  • 11.14 PAX Global Technology Limited
  • 11.15 PTC
  • 11.16 Samsung Electronics
  • 11.17 Verifone Systems
  • 11.18 Zippin

List of Tables

  • Table 1 Global Smart Retail Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Smart Retail Market Outlook, By Solution (2022-2030) ($MN)
  • Table 3 Global Smart Retail Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 4 Global Smart Retail Market Outlook, By Software (2022-2030) ($MN)
  • Table 5 Global Smart Retail Market Outlook, By Services (2022-2030) ($MN)
  • Table 6 Global Smart Retail Market Outlook, By Technology (2022-2030) ($MN)
  • Table 7 Global Smart Retail Market Outlook, By Internet of Things (IoT) (2022-2030) ($MN)
  • Table 8 Global Smart Retail Market Outlook, By Augmented Reality (AR) and Virtual Reality (VR) (2022-2030) ($MN)
  • Table 9 Global Smart Retail Market Outlook, By Big Data and Analytics (2022-2030) ($MN)
  • Table 10 Global Smart Retail Market Outlook, By Machine Learning (2022-2030) ($MN)
  • Table 11 Global Smart Retail Market Outlook, By Blockchain (2022-2030) ($MN)
  • Table 12 Global Smart Retail Market Outlook, By Robotics and Automation (2022-2030) ($MN)
  • Table 13 Global Smart Retail Market Outlook, By Mobile Technologies & Cloud Computing (2022-2030) ($MN)
  • Table 14 Global Smart Retail Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 15 Global Smart Retail Market Outlook, By Application (2022-2030) ($MN)
  • Table 16 Global Smart Retail Market Outlook, By Inventory Management (2022-2030) ($MN)
  • Table 17 Global Smart Retail Market Outlook, By Customer Experience (2022-2030) ($MN)
  • Table 18 Global Smart Retail Market Outlook, By Checkout and Payment (2022-2030) ($MN)
  • Table 19 Global Smart Retail Market Outlook, By Supply Chain Management (2022-2030) ($MN)
  • Table 20 Global Smart Retail Market Outlook, By Security and Loss Prevention (2022-2030) ($MN)
  • Table 21 Global Smart Retail Market Outlook, By In-Store Navigation (2022-2030) ($MN)
  • Table 22 Global Smart Retail Market Outlook, By Marketing and Advertising (2022-2030) ($MN)
  • Table 23 Global Smart Retail Market Outlook, By Customer Analytics (2022-2030) ($MN)
  • Table 24 Global Smart Retail Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 25 Global Smart Retail Market Outlook, By End User (2022-2030) ($MN)
  • Table 26 Global Smart Retail Market Outlook, By Brick-and-Mortar Retailers (2022-2030) ($MN)
  • Table 27 Global Smart Retail Market Outlook, By Supermarkets and Hypermarkets (2022-2030) ($MN)
  • Table 28 Global Smart Retail Market Outlook, By Department Stores (2022-2030) ($MN)
  • Table 29 Global Smart Retail Market Outlook, By Convenience Stores (2022-2030) ($MN)
  • Table 30 Global Smart Retail Market Outlook, By E-commerce Companies (2022-2030) ($MN)
  • Table 31 Global Smart Retail Market Outlook, By Online Retailers (2022-2030) ($MN)
  • Table 32 Global Smart Retail Market Outlook, By Omnichannel Retailers (2022-2030) ($MN)
  • Table 33 Global Smart Retail Market Outlook, By Shopping Malls (2022-2030) ($MN)
  • Table 34 Global Smart Retail Market Outlook, By Consumer Goods Manufacturers (2022-2030) ($MN)
  • Table 35 Global Smart Retail Market Outlook, By Brand Stores (2022-2030) ($MN)
  • Table 36 Global Smart Retail Market Outlook, By Pop-up Stores (2022-2030) ($MN)
  • Table 37 Global Smart Retail Market Outlook, By Food & Beverage Retailers (2022-2030) ($MN)
  • Table 38 Global Smart Retail Market Outlook, By Entertainment and Hospitality (2022-2030) ($MN)
  • Table 39 Global Smart Retail Market Outlook, By Other End Users (2022-2030) ($MN)

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