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市场调查报告书
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1980943

2026年零售业边缘人工智慧（AI）全球市场报告

Edge Artificial Intelligence (AI) In Retail Global Market Report 2026
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

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简介目录

近年来，零售业边缘人工智慧市场规模呈现爆炸性成长。预计该市场规模将从2025年的218.4亿美元成长到2026年的285.3亿美元，复合年增长率达30.6%。过去几年的成长主要归功于实体零售分析的扩展、POS系统的早期应用、物联网感测器的普及、个人化购物的需求以及对营运效率的提升。

未来几年，零售业边缘人工智慧市场规模预计将大幅成长。预计到2030年，该市场规模将达到817.1亿美元，复合年增长率（CAGR）为30.1%。预测期内的成长要素包括智慧商店采用边缘技术、对即时洞察的需求、全通路零售的扩张、人工智慧驱动的动态定价以及对无人收银商店的投资。预测期内的关键趋势包括即时店内分析、个人化的边缘建议、自主库存优化、电脑视觉驱动的零售以及低延迟的客户参与。

预计在不久的将来，连网设备数量的不断增长将推动零售业边缘人工智慧 (AI) 市场的发展。互联设备是指透过网路（通常是网际网路）相互通讯或与中央系统通讯的电子设备，用于资料共用和执行远端任务。互联设备的成长主要得益于物联网 (IoT) 技术的普及，企业和消费者都在采用智慧设备来提高效率、实现自动化，并促进各种应用之间的即时数据交换。零售业的边缘人工智慧将透过在设备层面直接进行即时数据处理和决策，提升这些连网设备的效能，降低延迟，并提高营运效率。例如，根据美国消费者评论和新闻平台 ConsumerAffairs 的数据显示，截至 2024 年 4 月，美国家庭平均拥有的互联设备数量已从 2022 年的 21 台增加到 2023 年的 25 台。因此，互联设备的成长正在推动零售业边缘人工智慧市场的扩张。

零售市场边缘人工智慧领域的主要企业正致力于部署最尖端科技，例如先进的设备端人工智慧处理，以提升即时决策和客户体验。设备端人工智慧处理是指智慧型设备无需云端连线即可在本地执行复杂的人工智慧任务。这项技术支援零售运营，能够即时分析客户行为、提供个人化建议，并在门市层级进行库存管理。最终实现更快捷的服务并提升客户满意度。例如，2024年9月，总部位于印度的软体公司IndoAI Technologies Pvt. Ltd.推出了“IndoAI Edge AI Camera”，该产品整合了其创新的应用化平台。这款新一代智慧摄影机专为边缘即时人工智慧处理而设计，无需依赖云端基础设施即可实现即时分析和决策。该摄影机适用于安防、零售、医疗保健和工业自动化等行业，并具有低延迟、低频宽占用和增强资料隐私保护等优势。

目录

第一章执行摘要

第二章 市场特征

  • 市场定义和范围
  • 市场区隔
  • 主要产品和服务概述
  • 全球零售业边缘人工智慧（AI）市场：吸引力评分与分析
  • 成长潜力分析、竞争评估、策略适宜性评估、风险状况评估

第三章 市场供应链分析

  • 供应链与生态系概述
  • 清单：主要原料、资源和供应商
  • 主要经销商和通路合作伙伴名单
  • 主要最终用户列表

第四章：全球市场趋势与策略

  • 关键科技与未来趋势
    • 人工智慧（AI）和自主人工智慧
    • 数位化、云端运算、巨量资料、网路安全
    • 物联网、智慧基础设施、互联生态系统
    • 工业4.0和智慧製造
    • 身临其境型技术（AR/VR/XR）与数位体验
  • 主要趋势
    • 店内即时分析
    • 基于边缘运算的个人化建议
    • 自主库存优化
    • 利用电脑视觉的零售业
    • 低延迟客户参与

第五章 终端用户产业市场分析

  • 实体商店型零售商
  • 全通路零售商
  • 仅限线上销售的零售商
  • 便利商店连锁
  • 大型零售公司

第六章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税的影响、关税战和贸易保护主义对供应链的影响，以及 COVID-19 疫情对市场的影响。

第七章：全球策略分析架构、目前市场规模、市场对比及成长率分析

  • 全球零售业边缘人工智慧（AI）市场：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 全球零售业边缘人工智慧 (AI) 市场规模、对比及成长率分析
  • 全球零售业边缘人工智慧（AI）市场表现：规模与成长，2020-2025年
  • 全球零售业边缘人工智慧（AI）市场预测：规模与成长，2025-2030年，2035年预测

第八章：全球市场总规模（TAM）

第九章 市场细分

  • 按组件
  • 解决方案、服务
  • 透过技术
  • 机器学习、自然语言处理、聊天机器人、影像与影片分析、群体智慧
  • 透过使用
  • 客户关係管理 (CRM)、供应链和物流、库存管理、产品最佳化、店内导航、支付和定价分析、虚拟助理和其他应用。
  • 按销售管道
  • 实体店、全通路零售商及纯线上零售商
  • 按类型细分：解决方案
  • 软体、平台
  • 按类型细分：服务
  • 专业服务、託管服务

第十章 市场与产业指标：依国家划分

第十一章 区域与国别分析

  • 全球零售业边缘人工智慧（AI）市场：按地区划分，实际数据和预测数据，2020-2025年、2025-2030年、2035年
  • 全球零售业边缘人工智慧（AI）市场：按国家/地区划分，实际数据和预测数据，2020-2025年、2025-2030年、2035年

第十二章 亚太市场

第十三章：中国市场

第十四章：印度市场

第十五章：日本市场

第十六章：澳洲市场

第十七章：印尼市场

第十八章：韩国市场

第十九章 台湾市场

第二十章：东南亚市场

第21章 西欧市场

第22章英国市场

第23章：德国市场

第24章：法国市场

第25章：义大利市场

第26章：西班牙市场

第27章 东欧市场

第28章：俄罗斯市场

第29章 北美市场

第三十章：美国市场

第31章：加拿大市场

第32章：南美洲市场

第33章：巴西市场

第34章 中东市场

第35章：非洲市场

第三十六章 市场监理与投资环境

第37章：竞争格局与公司概况

  • 零售业边缘人工智慧（AI）市场：竞争格局与市场份额，2024 年
  • 零售业边缘人工智慧（AI）市场：公司估值矩阵
  • 零售业边缘人工智慧（AI）市场：公司概况
    • Samsung Electronics Co. Ltd.
    • Microsoft Corporation
    • Alibaba Group Holding Limited
    • Intel Corporation
    • Panasonic Holdings Corporation

第38章 其他大型企业和创新企业

  • IBM Corporation, Cisco Systems Inc., Oracle Corporation, Qualcomm Incorporated, Honeywell International Inc., SAP SE, Hewlett Packard Enterprise Company, NVIDIA Corporation, Advanced Micro Devices Inc.（AMD）, Zebra Technologies Corporation, SoundHound AI Inc., Mashgin Inc., Syntiant Corp., ClearBlade Inc., SenseTime Group Ltd.

第39章 全球市场竞争基准分析与仪錶板

第四十章 重大併购

第41章 具有高市场潜力的国家、细分市场与策略

  • 2030年零售业边缘人工智慧（AI）市场：提供新机会的国家
  • 2030年零售业边缘人工智慧（AI）市场：新兴机会的细分领域
  • 2030年零售业边缘人工智慧（AI）市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第42章附录

简介目录
Product Code: IT4MEAIA02_G26Q1

Edge artificial intelligence (AI) in retail refers to the deployment of AI technologies directly on local devices within retail environments, allowing for real-time data processing and analysis at the network's edge. This approach improves operational efficiency, enables immediate decision-making, and supports personalized customer experiences without depending on cloud connectivity.

The main components of edge artificial intelligence (AI) in retail include solutions and services. Edge AI solutions are integrated software and hardware systems that facilitate real-time data processing at the device or store level, boosting speed, privacy, and operational efficiency. The key technologies utilized in edge AI for retail include machine learning, natural language processing, chatbots, image and video analytics, and swarm intelligence. These technologies are applied across a range of retail functions such as customer relationship management (CRM), supply chain and logistics, inventory management, product optimization, in-store navigation, payment and pricing analytics, virtual assistants, and other applications. The primary sales channels for edge AI in retail encompass brick-and-mortar stores, omnichannel retailers, and pure-play online retailers.

Tariffs have influenced the edge AI in retail market by increasing costs of imported cameras, sensors, and edge computing hardware. These impacts have been more pronounced for brick and mortar retailers deploying large scale in store systems. Regions such as north america and asia pacific have faced moderate cost pressures due to global hardware sourcing. At the same time, tariffs have encouraged software optimization and modular deployments. This has enabled retailers to scale solutions more efficiently. Overall, adaptability and localized sourcing are supporting continued market growth.

The edge artificial intelligence (AI) in retail market research report is one of a series of new reports from The Business Research Company that provides edge artificial intelligence (AI) in retail market statistics, including edge artificial intelligence (AI) in retail industry global market size, regional shares, competitors with a edge artificial intelligence (AI) in retail market share, detailed edge artificial intelligence (AI) in retail market segments, market trends and opportunities, and any further data you may need to thrive in the edge artificial intelligence (AI) in retail industry. This edge artificial intelligence (AI) in retail market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The edge artificial intelligence (AI) in retail market size has grown exponentially in recent years. It will grow from $21.84 billion in 2025 to $28.53 billion in 2026 at a compound annual growth rate (CAGR) of 30.6%. The growth in the historic period can be attributed to growth of physical retail analytics, early adoption of POS systems, expansion of IoT sensors, demand for personalized shopping, operational efficiency needs.

The edge artificial intelligence (AI) in retail market size is expected to see exponential growth in the next few years. It will grow to $81.71 billion in 2030 at a compound annual growth rate (CAGR) of 30.1%. The growth in the forecast period can be attributed to edge deployment in smart stores, demand for real time insights, growth of omnichannel retail, AI driven dynamic pricing, investment in cashierless stores. Major trends in the forecast period include real time in store analytics, personalized edge based recommendations, autonomous inventory optimization, computer vision powered retail, low latency customer engagement.

The growing number of connected devices is expected to fuel the growth of the edge artificial intelligence (AI) in retail market in the near future. Connected devices refer to electronic devices that communicate with each other or a central system via a network, typically the internet, to share data and perform remote tasks. The increase in connected devices is primarily driven by the widespread adoption of Internet of Things (IoT) technologies, with both businesses and consumers integrating smart devices to enhance efficiency, automation, and real-time data exchange across various applications. Edge artificial intelligence (AI) in retail improves the performance of these connected devices by enabling real-time data processing and decision-making directly at the device level, which reduces latency and boosts operational efficiency. For example, in April 2024, according to ConsumerAffairs, a US-based customer review and news platform, the average number of connected devices in US households rose from 21 in 2022 to 25 in 2023. Consequently, the growing number of connected devices is driving the expansion of edge artificial intelligence (AI) in the retail market.

Leading companies in the edge artificial intelligence (AI) in retail market are focusing on incorporating cutting-edge technologies such as advanced on-device AI processing to enhance real-time decision-making and customer experiences. On-device AI processing refers to the ability of smart devices to perform complex AI tasks locally, without the need for cloud connectivity. This technology helps retail businesses by enabling real-time analysis of customer behavior, personalized recommendations, and inventory management directly at the store level, resulting in faster service and improved customer satisfaction. For instance, in September 2024, IndoAI Technologies Pvt. Ltd., an India-based software company, launched the IndoAI Edge AI Camera, integrated with its innovative Appization platform. This next-generation smart camera is designed for real-time AI processing at the edge, enabling instant analytics and decision-making without relying on cloud infrastructure. The camera is suitable for security, retail, healthcare, and industrial automation sectors, offering low latency, reduced bandwidth usage, and enhanced data privacy.

In November 2024, Nuqleous Inc., a US-based developer of intelligent technology solutions, acquired Interactive Edge for an undisclosed amount. With this acquisition, Nuqleous aims to bolster its retail analytics capabilities by integrating Interactive Edge's XP3 BI Cloud platform. This integration will enable category management and sales teams to automate and scale the creation of customized, data-driven insights and presentations, improving productivity and decision-making across the retail value chain. Interactive Edge is a US-based software company specializing in automated retail analytics.

Major companies operating in the edge artificial intelligence (AI) in retail market are Samsung Electronics Co. Ltd., Microsoft Corporation, Alibaba Group Holding Limited, Intel Corporation, Panasonic Holdings Corporation, IBM Corporation, Cisco Systems Inc., Oracle Corporation, Qualcomm Incorporated, Honeywell International Inc., SAP SE, Hewlett Packard Enterprise Company, NVIDIA Corporation, Advanced Micro Devices Inc. (AMD), Zebra Technologies Corporation, SoundHound AI Inc., Mashgin Inc., Syntiant Corp., ClearBlade Inc., SenseTime Group Ltd.

North America was the largest region in the edge artificial intelligence (AI) in retail market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the edge artificial intelligence (AI) in retail market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the edge artificial intelligence (AI) in retail market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The edge artificial intelligence (AI) in retail market consists of revenues earned by entities providing services such as autonomous checkout and self-scanning, real-time inventory management, customer behavior analytics, personalized marketing and recommendations, and fraud detection and loss Prevention. The market value includes the value of related goods sold by the service provider or included within the service offering. The edge artificial intelligence (AI) in retail market also includes sales of edge AI hardware, AI-powered software and platforms, IoT devices and smart systems AI-driven robotics and cloud-edge integration solutions. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Edge Artificial Intelligence (AI) In Retail Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses edge artificial intelligence (AI) in retail market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on end user analysis.
  • Benchmark performance against key competitors based on market share, innovation, and brand strength.
  • Evaluate the total addressable market (TAM) and market attractiveness scoring to measure market potential.
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Where is the largest and fastest growing market for edge artificial intelligence (AI) in retail ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The edge artificial intelligence (AI) in retail market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
  • The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
  • The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
  • The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
  • The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
  • The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

  • Markets Covered:1) By Component: Solution; Service
  • 2) By Technology: Machine Learning; Natural Language Processing; Chatbots; Image And Video Analytics; Swarm Intelligence
  • 3) By Application: Customer Relationship Management (CRM); Supply Chain And Logistics; Inventory Management; Product Optimization; In-Store Navigation; Payment And Pricing Analytics; Virtual Assistant; Other Applications
  • 4) By Sales Channel: Brick And Mortar; Omnichannel; Pure-Play Online Retailers
  • Subsegments:
  • 1) By Solution: Software; Platform
  • 2) By Service: Professional Services; Managed Services
  • Companies Mentioned: Samsung Electronics Co. Ltd.; Microsoft Corporation; Alibaba Group Holding Limited; Intel Corporation; Panasonic Holdings Corporation; IBM Corporation; Cisco Systems Inc.; Oracle Corporation; Qualcomm Incorporated; Honeywell International Inc.; SAP SE; Hewlett Packard Enterprise Company; NVIDIA Corporation; Advanced Micro Devices Inc. (AMD); Zebra Technologies Corporation; SoundHound AI Inc.; Mashgin Inc.; Syntiant Corp.; ClearBlade Inc.; SenseTime Group Ltd.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
  • Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: Word, PDF or Interactive Report
  • + Excel Dashboard
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  • Bi-Annual Data Update
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  • Expert Consultant Support

Added Benefits available all on all list-price licence purchases, to be claimed at time of purchase. Customisations within report scope and limited to 20% of content and consultant support time limited to 8 hours.

Table of Contents

1. Executive Summary

  • 1.1. Key Market Insights (2020-2035)
  • 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
  • 1.3. Major Factors Driving the Market
  • 1.4. Top Three Trends Shaping the Market

2. Edge Artificial Intelligence (AI) In Retail Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global Edge Artificial Intelligence (AI) In Retail Market Attractiveness Scoring And Analysis
    • 2.4.1. Overview of Market Attractiveness Framework
    • 2.4.2. Quantitative Scoring Methodology
    • 2.4.3. Factor-Wise Evaluation
  • Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
    • 2.4.4. Market Attractiveness Scoring and Interpretation
    • 2.4.5. Strategic Implications and Recommendations

3. Edge Artificial Intelligence (AI) In Retail Market Supply Chain Analysis

  • 3.1. Overview of the Supply Chain and Ecosystem
  • 3.2. List Of Key Raw Materials, Resources & Suppliers
  • 3.3. List Of Major Distributors and Channel Partners
  • 3.4. List Of Major End Users

4. Global Edge Artificial Intelligence (AI) In Retail Market Trends And Strategies

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Artificial Intelligence & Autonomous Intelligence
    • 4.1.2 Digitalization, Cloud, Big Data & Cybersecurity
    • 4.1.3 Internet Of Things (Iot), Smart Infrastructure & Connected Ecosystems
    • 4.1.4 Industry 4.0 & Intelligent Manufacturing
    • 4.1.5 Immersive Technologies (Ar/Vr/Xr) & Digital Experiences
  • 4.2. Major Trends
    • 4.2.1 Real Time In Store Analytics
    • 4.2.2 Personalized Edge Based Recommendations
    • 4.2.3 Autonomous Inventory Optimization
    • 4.2.4 Computer Vision Powered Retail
    • 4.2.5 Low Latency Customer Engagement

5. Edge Artificial Intelligence (AI) In Retail Market Analysis Of End Use Industries

  • 5.1 Brick And Mortar Retailers
  • 5.2 Omnichannel Retailers
  • 5.3 Pure Play Online Retailers
  • 5.4 Convenience Store Chains
  • 5.5 Large Retail Enterprises

6. Edge Artificial Intelligence (AI) In Retail Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global Edge Artificial Intelligence (AI) In Retail Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

  • 7.1. Global Edge Artificial Intelligence (AI) In Retail PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 7.2. Global Edge Artificial Intelligence (AI) In Retail Market Size, Comparisons And Growth Rate Analysis
  • 7.3. Global Edge Artificial Intelligence (AI) In Retail Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
  • 7.4. Global Edge Artificial Intelligence (AI) In Retail Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global Edge Artificial Intelligence (AI) In Retail Total Addressable Market (TAM) Analysis for the Market

  • 8.1. Definition and Scope of Total Addressable Market (TAM)
  • 8.2. Methodology and Assumptions
  • 8.3. Global Total Addressable Market (TAM) Estimation
  • 8.4. TAM vs. Current Market Size Analysis
  • 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. Edge Artificial Intelligence (AI) In Retail Market Segmentation

  • 9.1. Global Edge Artificial Intelligence (AI) In Retail Market, Segmentation By Component, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Solution, Service
  • 9.2. Global Edge Artificial Intelligence (AI) In Retail Market, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Machine Learning, Natural Language Processing, Chatbots, Image And Video Analytics, Swarm Intelligence
  • 9.3. Global Edge Artificial Intelligence (AI) In Retail Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Customer Relationship Management (CRM), Supply Chain And Logistics, Inventory Management, Product Optimization, In-Store Navigation, Payment And Pricing Analytics, Virtual Assistant, Other Applications
  • 9.4. Global Edge Artificial Intelligence (AI) In Retail Market, Segmentation By Sales Channel, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Brick And Mortar, Omnichannel, Pure-Play Online Retailers
  • 9.5. Global Edge Artificial Intelligence (AI) In Retail Market, Sub-Segmentation Of Solution, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Software, Platform
  • 9.6. Global Edge Artificial Intelligence (AI) In Retail Market, Sub-Segmentation Of Service, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Professional Services, Managed Services

10. Edge Artificial Intelligence (AI) In Retail Market, Industry Metrics By Country

  • 10.1. Global Edge Artificial Intelligence (AI) In Retail Market, Average Selling Price By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $
  • 10.2. Global Edge Artificial Intelligence (AI) In Retail Market, Average Spending Per Capita (Employed) By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $

11. Edge Artificial Intelligence (AI) In Retail Market Regional And Country Analysis

  • 11.1. Global Edge Artificial Intelligence (AI) In Retail Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 11.2. Global Edge Artificial Intelligence (AI) In Retail Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. Asia-Pacific Edge Artificial Intelligence (AI) In Retail Market

  • 12.1. Asia-Pacific Edge Artificial Intelligence (AI) In Retail Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 12.2. Asia-Pacific Edge Artificial Intelligence (AI) In Retail Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. China Edge Artificial Intelligence (AI) In Retail Market

  • 13.1. China Edge Artificial Intelligence (AI) In Retail Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 13.2. China Edge Artificial Intelligence (AI) In Retail Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. India Edge Artificial Intelligence (AI) In Retail Market

  • 14.1. India Edge Artificial Intelligence (AI) In Retail Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Japan Edge Artificial Intelligence (AI) In Retail Market

  • 15.1. Japan Edge Artificial Intelligence (AI) In Retail Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 15.2. Japan Edge Artificial Intelligence (AI) In Retail Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Australia Edge Artificial Intelligence (AI) In Retail Market

  • 16.1. Australia Edge Artificial Intelligence (AI) In Retail Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. Indonesia Edge Artificial Intelligence (AI) In Retail Market

  • 17.1. Indonesia Edge Artificial Intelligence (AI) In Retail Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. South Korea Edge Artificial Intelligence (AI) In Retail Market

  • 18.1. South Korea Edge Artificial Intelligence (AI) In Retail Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 18.2. South Korea Edge Artificial Intelligence (AI) In Retail Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. Taiwan Edge Artificial Intelligence (AI) In Retail Market

  • 19.1. Taiwan Edge Artificial Intelligence (AI) In Retail Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 19.2. Taiwan Edge Artificial Intelligence (AI) In Retail Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. South East Asia Edge Artificial Intelligence (AI) In Retail Market

  • 20.1. South East Asia Edge Artificial Intelligence (AI) In Retail Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 20.2. South East Asia Edge Artificial Intelligence (AI) In Retail Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. Western Europe Edge Artificial Intelligence (AI) In Retail Market

  • 21.1. Western Europe Edge Artificial Intelligence (AI) In Retail Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 21.2. Western Europe Edge Artificial Intelligence (AI) In Retail Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. UK Edge Artificial Intelligence (AI) In Retail Market

  • 22.1. UK Edge Artificial Intelligence (AI) In Retail Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. Germany Edge Artificial Intelligence (AI) In Retail Market

  • 23.1. Germany Edge Artificial Intelligence (AI) In Retail Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. France Edge Artificial Intelligence (AI) In Retail Market

  • 24.1. France Edge Artificial Intelligence (AI) In Retail Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Italy Edge Artificial Intelligence (AI) In Retail Market

  • 25.1. Italy Edge Artificial Intelligence (AI) In Retail Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Spain Edge Artificial Intelligence (AI) In Retail Market

  • 26.1. Spain Edge Artificial Intelligence (AI) In Retail Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Eastern Europe Edge Artificial Intelligence (AI) In Retail Market

  • 27.1. Eastern Europe Edge Artificial Intelligence (AI) In Retail Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 27.2. Eastern Europe Edge Artificial Intelligence (AI) In Retail Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. Russia Edge Artificial Intelligence (AI) In Retail Market

  • 28.1. Russia Edge Artificial Intelligence (AI) In Retail Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. North America Edge Artificial Intelligence (AI) In Retail Market

  • 29.1. North America Edge Artificial Intelligence (AI) In Retail Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 29.2. North America Edge Artificial Intelligence (AI) In Retail Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. USA Edge Artificial Intelligence (AI) In Retail Market

  • 30.1. USA Edge Artificial Intelligence (AI) In Retail Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 30.2. USA Edge Artificial Intelligence (AI) In Retail Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. Canada Edge Artificial Intelligence (AI) In Retail Market

  • 31.1. Canada Edge Artificial Intelligence (AI) In Retail Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 31.2. Canada Edge Artificial Intelligence (AI) In Retail Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. South America Edge Artificial Intelligence (AI) In Retail Market

  • 32.1. South America Edge Artificial Intelligence (AI) In Retail Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 32.2. South America Edge Artificial Intelligence (AI) In Retail Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Brazil Edge Artificial Intelligence (AI) In Retail Market

  • 33.1. Brazil Edge Artificial Intelligence (AI) In Retail Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Middle East Edge Artificial Intelligence (AI) In Retail Market

  • 34.1. Middle East Edge Artificial Intelligence (AI) In Retail Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 34.2. Middle East Edge Artificial Intelligence (AI) In Retail Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Africa Edge Artificial Intelligence (AI) In Retail Market

  • 35.1. Africa Edge Artificial Intelligence (AI) In Retail Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 35.2. Africa Edge Artificial Intelligence (AI) In Retail Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

36. Edge Artificial Intelligence (AI) In Retail Market Regulatory and Investment Landscape

37. Edge Artificial Intelligence (AI) In Retail Market Competitive Landscape And Company Profiles

  • 37.1. Edge Artificial Intelligence (AI) In Retail Market Competitive Landscape And Market Share 2024
    • 37.1.1. Top 10 Companies (Ranked by revenue/share)
  • 37.2. Edge Artificial Intelligence (AI) In Retail Market - Company Scoring Matrix
    • 37.2.1. Market Revenues
    • 37.2.2. Product Innovation Score
    • 37.2.3. Brand Recognition
  • 37.3. Edge Artificial Intelligence (AI) In Retail Market Company Profiles
    • 37.3.1. Samsung Electronics Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.3. Alibaba Group Holding Limited Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.4. Intel Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.5. Panasonic Holdings Corporation Overview, Products and Services, Strategy and Financial Analysis

38. Edge Artificial Intelligence (AI) In Retail Market Other Major And Innovative Companies

  • IBM Corporation, Cisco Systems Inc., Oracle Corporation, Qualcomm Incorporated, Honeywell International Inc., SAP SE, Hewlett Packard Enterprise Company, NVIDIA Corporation, Advanced Micro Devices Inc. (AMD), Zebra Technologies Corporation, SoundHound AI Inc., Mashgin Inc., Syntiant Corp., ClearBlade Inc., SenseTime Group Ltd.

39. Global Edge Artificial Intelligence (AI) In Retail Market Competitive Benchmarking And Dashboard

40. Key Mergers And Acquisitions In The Edge Artificial Intelligence (AI) In Retail Market

41. Edge Artificial Intelligence (AI) In Retail Market High Potential Countries, Segments and Strategies

  • 41.1. Edge Artificial Intelligence (AI) In Retail Market In 2030 - Countries Offering Most New Opportunities
  • 41.2. Edge Artificial Intelligence (AI) In Retail Market In 2030 - Segments Offering Most New Opportunities
  • 41.3. Edge Artificial Intelligence (AI) In Retail Market In 2030 - Growth Strategies
    • 41.3.1. Market Trend Based Strategies
    • 41.3.2. Competitor Strategies

42. Appendix

  • 42.1. Abbreviations
  • 42.2. Currencies
  • 42.3. Historic And Forecast Inflation Rates
  • 42.4. Research Inquiries
  • 42.5. The Business Research Company
  • 42.6. Copyright And Disclaimer