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市场调查报告书
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1494882

2030 年智慧零售市场预测：按解决方案、技术、应用、最终用户和地区进行的全球分析

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个工作天内

价格

根据Stratistics MRC预测，2024年全球智慧零售市场规模将达519亿美元，预计2030年将达到2,639亿美元，预测期内复合年增长率为31.1%。

智慧零售利用先进技术来改善购物体验、简化业务并提高效率。整合物联网 (IoT) 设备、人工智慧 (AI) 和资料分析，打造个人化、无缝的客户旅程。在智慧商店中，RFID标籤和感测器即时追踪库存，以减少缺货和积压。人工智慧驱动的市场动态提供了对消费行为的洞察，从而实现动态定价和有针对性的行销。自动结帐系统，例如 Amazon Go 的「Just walk out」技术，可以消除排队并增加便利性。

根据国际智慧零售组织（ICO）的数据，全球智慧零售袋出口量从2019年2月的1,083万件增加到2020年2月的1,111万件，一年内成长了2.6%。

融合人工智慧、物联网等技术

人工智慧驱动的系统可以分析客户资料，并透过聊天机器人和虚拟助理提供个人化建议、预测性见解和改进的客户服务。智慧货架和信标等物联网设备透过为消费者提供即时资讯和个人化优惠来改善店内体验。此外，物联网感测器即时监控货物的状况和位置，人工智慧分析这些资料以预测中断、优化路线并缩短交货时间，从而提高供应链的弹性和反应能力，并促进市场成长。

昂贵的前期投资

实施人工智慧、物联网和资料分析等先进技术需要在硬体、软体、基础设施和员工培训方面进行大量初始投资。这种高成本可能是一个主要障碍，特别是对于预算有限的中小型零售商。此外，整合这些技术的复杂性和规模可能会导致实施时间过长并对现有业务造成干扰。零售商也可能面临不确定性的投资回报（ROI）。

消费者个性化需求

当今的消费者期望根据他们的个人偏好和行为量身定制的体验。这种需求促使零售商部署人工智慧 (AI)、机器学习和资料分析等先进技术来收集和分析客户资料。此外，智慧货架和数位显示器等店内技术可提供即时个人化优惠和讯息，增强购物体验并促进市场发展。

抵制新科技引进

从经营团队的观点来看，不愿投资新技术源于对初始成本、对现有流程的潜在破坏以及投资收益的不确定性的担忧。员工可能会因为担心离职、缺乏培训或对新工具和系统感到不适而抵制变革。此外，如果客户认为新技术具有侵入性、复杂性、不可靠或市场障碍，他们可能不愿意接受新技术。

COVID-19 的影响

COVID-19 对智慧零售供应链产生了负面影响，由于物流和运输限制阻碍了货物的流动。不仅消费者的交货被推迟，零售商的交货也被推迟。智慧零售业在疫情爆发之前就已经实现了健康的复合年增长率，自 COVID-19 爆发以来，智慧零售业经历了快速成长。疫情情势不确定，未来几个月无法预测，因此监管机构的安全措施正在迅速变化。非接触式操作和减少的社交距离使消费者能够获得替代零售解决方案，使智慧零售在日常生活中发挥重要作用。

软体部分预计将在预测期内成为最大的部分

由于全球零售商越来越多地采用分析软体来了解特定的最终用户需求和行为并改善客户参与和购物体验，预计软体将在预测期内达到高峰。随着零售投资的增加，分析不断变化的消费者偏好和关注以客户为中心的行销的需求也在增加。预计这将为智慧零售分析创造巨大的机会。

行销和广告业预计在预测期内复合年增长率最高

零售商也考虑透过有吸引力的商店、数位电子看板、室内展示、最先进的照明等进行视觉行销，作为智慧零售解决方案吸引客户的先决条件之一，因此行销和广告部门是。内部表现出最高的复合年增长率。此外，社群媒体行销对于吸引千禧世代特别有帮助。这使得零售商能够专注于提供无摩擦的购物体验，并将社群媒体的干扰降至最低。因此，2020年，视觉行销将占据市场的大部分份额。

比最大的地区

由于对奢侈品和高端产品的需求不断增长，以及客户对更方便、更省时的零售体验的偏好迅速变化，预计北美将在预测期内占据最大的市场占有率。数位技术在所有应用领域的采用正在重塑美国经济。疫情后的影响正在影响零售业，企业数位化的速度比之前计画的要快。

复合年增长率最高的地区：

由于巨量资料分析、智慧化妆镜、接待机器人和导购机器人等智慧零售解决方案在日本和中国等国家的应用不断增长，亚太地区在预测期内将保持最高的复合年增长率。增长。除了阿里巴巴和亚马逊等大型智慧零售公司之外，中小型供应商也计划利用这个机会。

提供免费客製化：

订阅此报告的客户可以存取以下免费自订选项之一：

  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
    • 主要企业SWOT分析（最多3家企业）
  • 区域分割
    • 根据客户兴趣对主要国家的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二次研究资讯来源
    • 先决条件

第三章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第五章全球智慧零售市场：按解决方案

  • 硬体
  • 软体
  • 服务

第六章全球智慧零售市场：依技术分类

  • 物联网 (IoT)
  • 扩增实境(AR) 和虚拟实境 (VR)
  • 巨量资料和分析
  • 机器学习
  • 区块链
  • 机器人和自动化
  • 行动技术和云端运算
  • 其他技术

第七章全球智慧零售市场：依应用分类

  • 库存控制
  • 客户体验
  • 结帐和付款
  • 供应链管理
  • 安全和损失预防
  • 店内导航
  • 行销和广告
  • 客户分析
  • 其他用途

第八章全球智慧零售市场：依最终用户分类

  • 实体零售商
    • 超级市场和大卖场
    • 百货公司
    • 便利商店
  • 电子商务公司
    • 网路零售商
    • 全通路零售商
  • 购物中心
  • 消费品製造商
    • 品牌店
    • 快闪店
  • 食品和饮料零售商
  • 娱乐和招待
  • 其他最终用户

第九章全球智慧零售市场：按地区

  • 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
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东/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

第10章 主要进展

  • 合约、伙伴关係、协作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十一章 公司概况

  • 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.