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市场调查报告书
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1715587

零售市场人工智慧（按产品、技术、应用领域和最终用户类型）—2025-2030 年全球预测

Artificial Intelligence in Retail Market by Offering, Technology, Application Area, End-User Type - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 183 Pages | 商品交期: 最快1-2个工作天内

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预计零售人工智慧市场规模在 2023 年将达到 154.8 亿美元，在 2024 年将成长至 177.4 亿美元，在 2030 年将达到 413.9 亿美元，复合年增长率为 15.08%。

主要市场统计数据
基准年2023年 154.8亿美元
预计2024年 177.4亿美元
预测年份 2030 413.9亿美元
复合年增长率（%） 15.08%

在快速发展的零售业中，人工智慧 (AI) 不再是一个未来概念，而是一个正在重塑行业各个方面的现代现实。世界各地的零售商正在采用先进的演算法、数据主导的洞察力和智慧自动化来改善客户体验、简化业务并提高盈利。本介绍分析深入探讨了人工智慧对零售业的变革性影响，并探讨了企业在日益数位化的环境中保持竞争力的关键技术创新和市场策略。

这种转变的核心是强大的数据分析和机器学习的整合，使零售商能够预测趋势、个人化客户互动并优化供应链。随着数位转型的加速，零售商正在重新构想传统经营模式，并投资不断发展的人工智慧技术，以满足消费者期望和产业需求。人工智慧的影响涵盖了从微观业务调整到宏观市场策略的方方面面，为快速变化的市场带来了可行的见解和前所未有的敏捷性。

该分析揭示了对人工智慧工具和服务的策略性投资如何推动决策、客户参与和业务效率的显着提高，从而奠定了基础。透过利用这些技术进步，企业不仅可以优化成本，还可以透过增强个人化和主动服务管理重新定义客户旅程。简而言之，零售业的人工智慧革命不仅仅是采用技术，而是重新构想整个价值链，以创造更智慧、更快速、更互联的零售生态系统。

利用人工智慧创新改变零售业

随着人工智慧技术的采用，零售业格局正在发生模式转移，人工智慧技术推动业务效率和客户满意度的提高。当今的零售业领导者正在透过智慧自动化、即时分析和自我调整学习系统等尖端创新超越传统系统。重点是建立一个整合平台，可以根据市场刺激动态调整零售流程、供应链管理和客户服务业务。

关键的转型变化包括加速数位转型，这是对传统零售策略全面反思的基础。人工智慧洞察力使零售商能够从被动决策转变为主动决策。例如，由预测分析支援动态库存策略可以使商店预测需求并有效调整存量基准以减少浪费并提高服务水准。此外，电脑视觉和机器学习的广泛使用改善了店内管理和顾客行为的跟踪，从而带来了更个人化的购物体验。

此外，自然语言处理技术的进步正在将零售生态系统扩展到客户互动更加直觉和个人化的领域。无论是提供即时客户支援的聊天机器人，还是促进无缝交易的语音系统，这些技术的采用都使零售业变得更加便利和引人入胜。这种转型不仅提高了营运的精确度，也为摆脱传统零售实践的创新解决方案奠定了基础，为更智慧、更响应的零售环境铺平了道路。

人工智慧主导零售的全面細項分析

了解市场区隔的细微差别可以揭示人工智慧渗透零售业的复杂层面。市场区隔仔细区分服务和软体工具。服务包括广泛的咨询、整合和支援与维护服务，每项服务都帮助零售商准确部署人工智慧解决方案并提供客製化指导。在软体方面，分析平台和预测工具等关键工具可以从复杂的资料集中获得可操作的见解，简化操作并实现更准确的需求预测。

深入挖掘，基于技术的细分检验电脑视觉、机器学习和自然语言处理。在电脑视觉领域，应用程式细分为脸部辨识、影像处理和物件侦测等领域，这些领域对于增强实体零售空间的安全性和客户互动至关重要。机器学习的细分进一步分为强化学习、监督学习和无监督学习，每种学习方式在开发学习和适应即时零售数据的系统中都发挥关键作用。同时，自然语言处理部分专注于情感分析、语音辨识和文字分析，客户参与至关重要。

此外，基于应用领域的细分涵盖了客户服务、库存管理、销售和行销、商店营运等关键零售功能。在这些类别中，特定的应用程式已经变得复杂，从客户服务中的聊天机器人和互动式语音响应到销售和行销中的动态定价和建议引擎。库存管理正在随着需求预测和库存优化而进步，而商店营运则受益于自动结帐和货架监控等创新。最后，根据最终用户类型进行分类，区分实体店、多通路零售商和线上平台，强调应对不同零售环境所需的客製化方法。这种分层细分框架深入了解了人工智慧在整个零售生态系统中可以实现的多方面实施，从而提高效率、创新和竞争优势。

目录

第一章 引言

第二章调查方法

第三章执行摘要

第四章 市场概述

第五章 市场洞察

  • 市场动态
    • 驱动程式
      • 增加聊天机器人和虚拟助理的使用，以简化客户服务业务
      • 透过人工智慧推荐实现个人化购物体验的需求日益增长
    • 限制因素
      • 在零售应用中开发和部署人工智慧技术的高成本
    • 机会
      • 开发人工智慧技术以改善店内体验和结帐流程
      • 扩大合作与伙伴关係，利用人工智慧发展零售供应链
    • 任务
      • 零售环境中与人工智慧技术相关的资料隐私和安全风险
  • 市场区隔分析
    • 提供：服务在人工智慧驱动的零售创新中发挥的作用，从而实现数位转型
    • 科技：利用先进的电脑视觉技术开发零售业
    • 应用领域：利用人工智慧在销售和行销、动态定价和个人化推荐方面改变零售业
    • 终端用户类型：实体店的人工智慧驱动成长将提升客户体验和业务效率
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 经济
    • 社会
    • 技术的
    • 合法的
    • 环境

第六章 零售市场中的人工智慧（按产品提供）

  • 服务
    • 咨询服务
    • 整合服务
    • 支援和维护
  • 软体工具
    • 分析平台
    • 预测工具

第七章 零售市场中的人工智慧（按技术）

  • 电脑视觉
    • 脸部辨识
    • 影像处理
    • 物体侦测
  • 机器学习
    • 强化学习
    • 监督学习
    • 无监督学习
  • 自然语言处理
    • 情绪分析
    • 语音辨识
    • 文字分析

第八章 零售业人工智慧市场（按应用领域）

  • 客户服务
    • 聊天机器人
    • 互动式语音应答
  • 库存管理
    • 需求预测
    • 库存最佳化
  • 销售和行销
    • 动态定价
    • 建议引擎
  • 店舖管理
    • 自动退房
    • 货架监控

第九章零售市场人工智慧（按最终用户类型）

  • 实体店面
  • 多通路零售商
  • 线上零售商

第十章美国零售业人工智慧市场

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美国

11. 亚太地区人工智慧零售市场

  • 澳洲
  • 中国
  • 印度
  • 印尼
  • 日本
  • 马来西亚
  • 菲律宾
  • 新加坡
  • 韩国
  • 台湾
  • 泰国
  • 越南

第十二章欧洲、中东和非洲零售业人工智慧市场

  • 丹麦
  • 埃及
  • 芬兰
  • 法国
  • 德国
  • 以色列
  • 义大利
  • 荷兰
  • 奈及利亚
  • 挪威
  • 波兰
  • 卡达
  • 俄罗斯
  • 沙乌地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公国
  • 英国

第十三章竞争格局

  • 2023年市场占有率分析
  • 2023年FPNV定位矩阵
  • 竞争情境分析
  • 战略分析与建议

公司名单

  • Algolia, Inc.
  • Alibaba Group Holding Limited
  • Amazon Web Services, Inc.
  • BloomReach, Inc.
  • Blue Yonder Group, Inc.
  • Bolt Financial, Inc.
  • Caper Inc. by Instacart
  • Cisco Systems, Inc.
  • Cognizant Technology Solutions Corporation
  • Forter, Ltd.
  • Google LLC by Alphabet Inc.
  • H2O.ai, Inc.
  • Huawei Technologies Co., Ltd.
  • Infosys Limited
  • Intel Corporation
  • International Business Machines Corporation
  • Klevu Oy
  • Microsoft Corporation
  • NVIDIA Corporation
  • Oracle Corporation
  • Salesforce, Inc.
  • Samsung Electronics Co., Ltd.
  • SAP SE
  • Shopify Inc.
  • SymphonyAI LLC
  • Talkdesk, Inc.
  • Trigo Vision Ltd.
  • UiPath Inc.
  • ViSenze Pte. Ltd
  • Walmart Inc.
  • Wipro Limited
  • Zebra Technologies Corporation
Product Code: MRR-031BF22F9554

The Artificial Intelligence in Retail Market was valued at USD 15.48 billion in 2023 and is projected to grow to USD 17.74 billion in 2024, with a CAGR of 15.08%, reaching USD 41.39 billion by 2030.

KEY MARKET STATISTICS
Base Year [2023] USD 15.48 billion
Estimated Year [2024] USD 17.74 billion
Forecast Year [2030] USD 41.39 billion
CAGR (%) 15.08%

In the rapidly evolving world of retail, artificial intelligence (AI) is no longer a futuristic concept but a present-day reality reshaping every facet of the industry. Retailers across the globe are embracing advanced algorithms, data-driven insights, and smart automation to enhance customer experiences, streamline operations, and drive profitability. This introductory analysis delves into the transformative influence of AI on retail, exploring major technological innovations and market strategies that empower businesses to stay competitive in an increasingly digital landscape.

At the core of this transformation is the integration of robust data analytics and machine learning, enabling retailers to predict trends, personalize customer interactions, and optimize supply chains. As digital transformation accelerates, retailers are reimagining traditional business models and investing in AI technologies that continuously evolve to match consumer expectations and industry demands. The impact of AI spans from micro-level operational adjustments to macro-level market strategies, providing actionable insights and unprecedented agility in a market known for rapid changes.

This analysis sets the stage by highlighting how strategic investments in AI tools and services can drive significant improvements in decision-making, customer engagement, and operational efficiency. As organizations leverage these technological advances, they not only optimize costs but also redefine the customer journey through enhanced personalization and proactive service management. In essence, the AI revolution in retail is not just about technology adoption; it is about reconfiguring the entire value chain to create a smarter, faster, and more connected retail ecosystem.

Transformative Shifts in Retail Through AI Innovations

The retail landscape is undergoing a paradigm shift with the adoption of AI technologies that drive both operational efficiency and customer satisfaction. Today's retail leaders are moving beyond conventional systems, harnessing cutting-edge innovations that include intelligent automation, real-time analytics, and adaptive learning systems. The emphasis is on creating integrated platforms that can dynamically adjust retail processes, supply chain management, and customer service operations in response to market stimuli.

Key transformative shifts include the acceleration of digital transformation, which underpins a comprehensive rethinking of traditional retail strategies. AI-driven insights are enabling retailers to move from reactive to proactive decision-making. For instance, dynamic stocking strategies - powered by predictive analytics - allow stores to forecast demand and adjust inventory levels efficiently, thereby reducing waste and improving service levels. The enhanced use of computer vision and machine learning has also improved in-store management and customer behavior tracking, leading to a more tailored shopping experience.

Furthermore, the evolution of natural language processing technologies has expanded the retail ecosystem into a realm where customer interactions become more intuitive and personalized. Whether it's through chatbots that provide real-time customer support or voice-enabled systems that facilitate seamless transactions, the adoption of these technologies is making retail more accessible and engaging. This transformative shift is not only enhancing operational accuracy but also setting the stage for innovative solutions that break away from traditional retail practices, paving the way toward a smarter, more responsive retail environment.

Comprehensive Segmentation Analysis in AI-Driven Retail

A nuanced understanding of market segmentation reveals the intricate layers through which AI is penetrating the retail industry. When considering the segmentation based on offering, the market analysis carefully distinguishes between services and software tools. Services encompass a broad suite including consulting, integration, and support and maintenance, each of which helps retailers implement AI solutions with precision and customized guidance. On the software side, critical tools such as analytics platforms and predictive tools empower companies to extract actionable insights from complex datasets, streamline operations, and forecast demand with greater accuracy.

Delving deeper, segmentation based on technology examines computer vision, machine learning, and natural language processing. Within computer vision, applications are refined into areas like facial recognition, image processing, and object detection, which have become essential for enhancing security and customer interactivity in physical retail spaces. Machine learning segmentation further subdivides into reinforcement learning, supervised learning, and unsupervised learning techniques, each playing a vital role in developing systems that learn from and adapt to real-time retail data. In parallel, the natural language processing segment, with its emphasis on sentiment analysis, speech recognition, and text analysis, is pivotal in driving customer engagement by decoding consumer sentiments and automating customer support.

In addition, segmentation based on application area spans critical retail functions such as customer service, inventory management, sales and marketing, and store operations. Within these categories, specific applications are being refined - from chatbots and interactive voice response in customer service to dynamic pricing and recommendation engines in sales and marketing. Inventory management has seen advancements with demand forecasting and stock optimization while store operations benefit from innovations like automated checkout and shelf monitoring. Finally, classification by end-user type differentiates between brick-and-mortar stores, multi-channel retailers, and online platforms, underscoring the tailored approach required to address diverse retail environments. This layered segmentation framework offers deep insights into the multifaceted implementations that AI is enabling across the retail ecosystem, driving efficiency, innovation, and competitive advantage.

Based on Offering, market is studied across Services and Software Tools. The Services is further studied across Consulting Services, Integration Services, and Support & Maintenance. The Software Tools is further studied across Analytics Platforms and Predictive Tools.

Based on Technology, market is studied across Computer Vision, Machine Learning, and Natural Language Processing. The Computer Vision is further studied across Facial Recognition, Image Processing, and Object Detection. The Machine Learning is further studied across Reinforcement Learning, Supervised Learning, and Unsupervised Learning. The Natural Language Processing is further studied across Sentiment Analysis, Speech Recognition, and Text Analysis.

Based on Application Area, market is studied across Customer Service, Inventory Management, Sales and Marketing, and Store Operations. The Customer Service is further studied across Chatbots and Interactive Voice Response. The Inventory Management is further studied across Demand Forecasting and Stock Optimization. The Sales and Marketing is further studied across Dynamic Pricing and Recommendation Engines. The Store Operations is further studied across Automated Checkout and Shelf Monitoring.

Based on End-User Type, market is studied across Brick-And-Mortar Stores, Multi-Channel Retailers, and Online Retailers.

Global Regional Insights Shaping the Future of Retail AI

The geographic landscape of AI adoption in retail exhibits noticeable variances that are largely influenced by regional economic dynamics, technological infrastructure, and consumer behavior patterns. In the Americas, significant investments in digital transformation have accelerated the integration of AI solutions across retail channels. Mature markets in North America harness sophisticated analytics and smart automation to streamline supply chains and deliver superior customer experiences, thus setting benchmarks for global trends.

Across Europe, the Middle East, and Africa, there is a steady rise in the implementation of tailored AI systems that align with regional consumer preferences and regulatory frameworks. European retailers, in particular, are leveraging AI to navigate complex supply chain challenges and evolving consumer demands while maintaining compliance with stringent data protection regulations. Meanwhile, retailers in the Middle East and Africa are beginning to adopt these advanced technologies to overcome operational obstacles and drive competitive differentiation in emerging markets.

In the Asia-Pacific region, rapid digitalization and a tech-savvy consumer base have propelled a swift uptake of AI applications in retail. Here, forward-thinking companies are blending AI technologies with mobile and social commerce trends, driving both customer engagement and operational excellence. This dynamic regional environment is characterized by the convergence of robust local innovation ecosystems and substantial foreign investments, making it a fertile ground for pioneering retail solutions. Overall, each region's distinct approach underlines the diverse yet converging methods by which AI is reshaping the retail industry worldwide.

Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

Key Corporate Innovators Steering the AI Retail Revolution

The competitive landscape in retail AI is defined by the presence of leading companies that drive innovation and set industry standards. Esteemed players such as Algolia, Inc., Alibaba Group Holding Limited, and Amazon Web Services, Inc. are at the forefront of delivering transformational tools and services that have redefined retail operations. These trailblazers, along with BloomReach, Inc. and Blue Yonder Group, Inc., are continuously refining analytical platforms and predictive solutions that serve as the backbone of modern AI-driven retail strategies.

Other prominent corporations including Bolt Financial, Inc., Caper Inc. by Instacart, and Cisco Systems, Inc. have been instrumental in pioneering technologies that integrate AI seamlessly into retail environments. Cognizant Technology Solutions Corporation, Forter, Ltd., and Google LLC by Alphabet Inc. set benchmarks by developing systems that cater to the nuanced demands of multi-channel retailing through secure and intelligent analytics. Furthermore, companies like H2O.ai, Inc., Huawei Technologies Co., Ltd., and Infosys Limited are recognized for their innovative deployments of machine learning and natural language processing applications that are revolutionizing customer service and operational efficiencies.

Intel Corporation, International Business Machines Corporation, and Klevu Oy provide foundational technologies that support advanced computer vision systems and data processing capabilities critical for real-time retail analytics. The strategic contributions of Microsoft Corporation, NVIDIA Corporation, Oracle Corporation, and Salesforce, Inc. have further enhanced the scalability and reliability of AI systems in retail. Additionally, leading global brands such as Samsung Electronics Co., Ltd., SAP SE, Shopify Inc., SymphonyAI LLC, Talkdesk, Inc., Trigo Vision Ltd., UiPath Inc., and ViSenze Pte. Ltd are continually setting new standards through innovative approaches to store operations and customer engagement. With heavyweight retailers like Walmart Inc., and technology powerhouses such as Wipro Limited and Zebra Technologies Corporation, the landscape is witnessing an unprecedented integration of technology and service innovations that are transforming retail globally.

The report delves into recent significant developments in the Artificial Intelligence in Retail Market, highlighting leading vendors and their innovative profiles. These include Algolia, Inc., Alibaba Group Holding Limited, Amazon Web Services, Inc., BloomReach, Inc., Blue Yonder Group, Inc., Bolt Financial, Inc., Caper Inc. by Instacart, Cisco Systems, Inc., Cognizant Technology Solutions Corporation, Forter, Ltd., Google LLC by Alphabet Inc., H2O.ai, Inc., Huawei Technologies Co., Ltd., Infosys Limited, Intel Corporation, International Business Machines Corporation, Klevu Oy, Microsoft Corporation, NVIDIA Corporation, Oracle Corporation, Salesforce, Inc., Samsung Electronics Co., Ltd., SAP SE, Shopify Inc., SymphonyAI LLC, Talkdesk, Inc., Trigo Vision Ltd., UiPath Inc., ViSenze Pte. Ltd, Walmart Inc., Wipro Limited, and Zebra Technologies Corporation. Strategic Recommendations for Retail AI Visionaries

Industry leaders are urged to look beyond traditional practices and invest strategically in the integration of AI technologies that drive both immediate results and long-term competitive advantage. To harness the full potential of AI in retail, decision-makers should prioritize initiatives that focus on building robust data infrastructures, nurturing cross-functional expertise, and fostering collaborations with technology innovators. A dedicated focus on data ingestion, analysis, and real-time decision-making will empower organizations to better track consumer behavior and optimize resource allocation.

Leaders are encouraged to implement a phased roadmap for AI integration that includes comprehensive training for staff and continuous upgrades to technological platforms. Emphasizing transparency and ethical considerations in AI deployments will not only build consumer trust but also safeguard data integrity. Furthermore, investing in agile development cycles allows organizations the flexibility to iterate and refine AI models in response to evolving market dynamics. Retailers should also explore partnerships with industry experts and technology providers to co-develop custom solutions that address specific operational challenges.

In addition, fostering a culture of innovation by encouraging experimentation and pilot programs can yield valuable insights that drive broader implementations. By capitalizing on these strategic initiatives, retailers can not only enhance customer experiences through personalized services but also streamline supply chain processes and reduce operational inefficiencies. Finally, a proactive approach to regulatory compliance and data security will ensure that AI innovations are sustainable and aligned with industry best practices, thereby setting a robust foundation for future growth.

Conclusion and Future Outlook for AI-Driven Retail

In summary, the integration of AI in retail is catalyzing a transformational change that is redefining every aspect of the industry. With advanced technology tools at their disposal, retailers are achieving heightened levels of efficiency, personalized customer experiences, and robust decision-making capabilities. The strategic segmentation of the market into offerings, technologies, application areas, and end-user types provides a detailed framework to understand the dynamic landscape, while regional insights and competitive analyses underscore the global scale and diversity of AI adoption.

The journey ahead is filled with vast opportunities for those willing to invest in cutting-edge solutions and innovative business models. As AI technologies continue to evolve, they promise to unlock new realms of automation, analytics, and customer interactivity that will empower retailers to navigate uncertainties and capitalize on emerging trends. The clear convergence of digital transformation and retail innovation signals a future where adaptability, sustainability, and consumer-centric strategies remain paramount. It is evident that those organizations which commit to continuous innovation and strategic planning will lead the charge in this exciting era of retail evolution.

This in-depth exploration provides a comprehensive understanding of the current state and future potential of AI in retail, offering valuable insights for stakeholders intent on driving growth and securing a competitive edge in a dynamic marketplace.

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Growing use of chatbots and virtual assistants to streamline customer service operations
      • 5.1.1.2. Rising demand for personalized shopping experiences through AI-powered recommendations
    • 5.1.2. Restraints
      • 5.1.2.1. High costs associated with developing and deploying AI technologies in retail applications
    • 5.1.3. Opportunities
      • 5.1.3.1. Development of AI technologies improving in-store experience and checkout processes
      • 5.1.3.2. Growing collaborations and partnerships to advance retail supply chains with AI
    • 5.1.4. Challenges
      • 5.1.4.1. Data privacy and security risks associated with artificial intelligence technologies in retail environments
  • 5.2. Market Segmentation Analysis
    • 5.2.1. Offering: Role of services in AI-enabled retail innovation leading to digital transformation
    • 5.2.2. Technology: Development of retail with advanced computer vision technologies
    • 5.2.3. Application area: Harnessing AI in sales and marketing to transform retail with dynamic pricing and personalized recommendations
    • 5.2.4. End-User Type: Growth of brick-and-mortar stores through AI leading to enhancement of customer experience and operational efficiency
  • 5.3. Porter's Five Forces Analysis
    • 5.3.1. Threat of New Entrants
    • 5.3.2. Threat of Substitutes
    • 5.3.3. Bargaining Power of Customers
    • 5.3.4. Bargaining Power of Suppliers
    • 5.3.5. Industry Rivalry
  • 5.4. PESTLE Analysis
    • 5.4.1. Political
    • 5.4.2. Economic
    • 5.4.3. Social
    • 5.4.4. Technological
    • 5.4.5. Legal
    • 5.4.6. Environmental

6. Artificial Intelligence in Retail Market, by Offering

  • 6.1. Introduction
  • 6.2. Services
    • 6.2.1. Consulting Services
    • 6.2.2. Integration Services
    • 6.2.3. Support & Maintenance
  • 6.3. Software Tools
    • 6.3.1. Analytics Platforms
    • 6.3.2. Predictive Tools

7. Artificial Intelligence in Retail Market, by Technology

  • 7.1. Introduction
  • 7.2. Computer Vision
    • 7.2.1. Facial Recognition
    • 7.2.2. Image Processing
    • 7.2.3. Object Detection
  • 7.3. Machine Learning
    • 7.3.1. Reinforcement Learning
    • 7.3.2. Supervised Learning
    • 7.3.3. Unsupervised Learning
  • 7.4. Natural Language Processing
    • 7.4.1. Sentiment Analysis
    • 7.4.2. Speech Recognition
    • 7.4.3. Text Analysis

8. Artificial Intelligence in Retail Market, by Application Area

  • 8.1. Introduction
  • 8.2. Customer Service
    • 8.2.1. Chatbots
    • 8.2.2. Interactive Voice Response
  • 8.3. Inventory Management
    • 8.3.1. Demand Forecasting
    • 8.3.2. Stock Optimization
  • 8.4. Sales and Marketing
    • 8.4.1. Dynamic Pricing
    • 8.4.2. Recommendation Engines
  • 8.5. Store Operations
    • 8.5.1. Automated Checkout
    • 8.5.2. Shelf Monitoring

9. Artificial Intelligence in Retail Market, by End-User Type

  • 9.1. Introduction
  • 9.2. Brick-And-Mortar Stores
  • 9.3. Multi-Channel Retailers
  • 9.4. Online Retailers

10. Americas Artificial Intelligence in Retail Market

  • 10.1. Introduction
  • 10.2. Argentina
  • 10.3. Brazil
  • 10.4. Canada
  • 10.5. Mexico
  • 10.6. United States

11. Asia-Pacific Artificial Intelligence in Retail Market

  • 11.1. Introduction
  • 11.2. Australia
  • 11.3. China
  • 11.4. India
  • 11.5. Indonesia
  • 11.6. Japan
  • 11.7. Malaysia
  • 11.8. Philippines
  • 11.9. Singapore
  • 11.10. South Korea
  • 11.11. Taiwan
  • 11.12. Thailand
  • 11.13. Vietnam

12. Europe, Middle East & Africa Artificial Intelligence in Retail Market

  • 12.1. Introduction
  • 12.2. Denmark
  • 12.3. Egypt
  • 12.4. Finland
  • 12.5. France
  • 12.6. Germany
  • 12.7. Israel
  • 12.8. Italy
  • 12.9. Netherlands
  • 12.10. Nigeria
  • 12.11. Norway
  • 12.12. Poland
  • 12.13. Qatar
  • 12.14. Russia
  • 12.15. Saudi Arabia
  • 12.16. South Africa
  • 12.17. Spain
  • 12.18. Sweden
  • 12.19. Switzerland
  • 12.20. Turkey
  • 12.21. United Arab Emirates
  • 12.22. United Kingdom

13. Competitive Landscape

  • 13.1. Market Share Analysis, 2023
  • 13.2. FPNV Positioning Matrix, 2023
  • 13.3. Competitive Scenario Analysis
    • 13.3.1. Titan company's strategic AI and GenAI integration enhancing retail and manufacturing efficiency
    • 13.3.2. Auto Trader unveils Co-Driver to transform automotive retailing through AI innovations
    • 13.3.3. Wipro and RELEX Solutions Join forces to innovate AI-driven retail supply chain management
    • 13.3.4. Google unveils AI-powered shopping platform enhancement to elevate user experience
    • 13.3.5. Walmart revolutionizes retail with AI, GenAI, and AR to enhance personalized and immersive shopping experiences across global platforms
    • 13.3.6. Strategic partnership between Microsoft and Rezolve AI poised to transform retail landscape with advanced AI solutions
    • 13.3.7. Scandit's acquisition of MarketLab enhances retail shelf management with innovative AR and AI solutions
    • 13.3.8. Accenture's strategic acquisition of Logic enhances AI-driven innovation and agility in the retail sector
    • 13.3.9. Walmart and Amazon intensify retail competition through strategic AI investments and cutting-edge innovations
    • 13.3.10. SAP's introduced AI-driven solutions for enhanced business processes and customer experience in retail
    • 13.3.11. IBM and SAP join forces to revolutionize retail with generative AI solutions
    • 13.3.12. Google Cloud's innovative AI tools revolutionize shopper experience to enhance the future of retail
  • 13.4. Strategy Analysis & Recommendation
    • 13.4.1. Wipro Limited
    • 13.4.2. Walmart Inc.
    • 13.4.3. Microsoft Corporation
    • 13.4.4. International Business Machines Corporation

Companies Mentioned

  • 1. Algolia, Inc.
  • 2. Alibaba Group Holding Limited
  • 3. Amazon Web Services, Inc.
  • 4. BloomReach, Inc.
  • 5. Blue Yonder Group, Inc.
  • 6. Bolt Financial, Inc.
  • 7. Caper Inc. by Instacart
  • 8. Cisco Systems, Inc.
  • 9. Cognizant Technology Solutions Corporation
  • 10. Forter, Ltd.
  • 11. Google LLC by Alphabet Inc.
  • 12. H2O.ai, Inc.
  • 13. Huawei Technologies Co., Ltd.
  • 14. Infosys Limited
  • 15. Intel Corporation
  • 16. International Business Machines Corporation
  • 17. Klevu Oy
  • 18. Microsoft Corporation
  • 19. NVIDIA Corporation
  • 20. Oracle Corporation
  • 21. Salesforce, Inc.
  • 22. Samsung Electronics Co., Ltd.
  • 23. SAP SE
  • 24. Shopify Inc.
  • 25. SymphonyAI LLC
  • 26. Talkdesk, Inc.
  • 27. Trigo Vision Ltd.
  • 28. UiPath Inc.
  • 29. ViSenze Pte. Ltd
  • 30. Walmart Inc.
  • 31. Wipro Limited
  • 32. Zebra Technologies Corporation

LIST OF FIGURES

  • FIGURE 1. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET MULTI-CURRENCY
  • FIGURE 2. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET MULTI-LANGUAGE
  • FIGURE 3. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET RESEARCH PROCESS
  • FIGURE 4. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, 2023 VS 2030
  • FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OFFERING, 2023 VS 2030 (%)
  • FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OFFERING, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2023 VS 2030 (%)
  • FIGURE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION AREA, 2023 VS 2030 (%)
  • FIGURE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION AREA, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY END-USER TYPE, 2023 VS 2030 (%)
  • FIGURE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY END-USER TYPE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 16. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 17. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 18. UNITED STATES ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STATE, 2023 VS 2030 (%)
  • FIGURE 19. UNITED STATES ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 20. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 21. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 22. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 23. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 24. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SHARE, BY KEY PLAYER, 2023
  • FIGURE 25. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

  • TABLE 1. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
  • TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET DYNAMICS
  • TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CONSULTING SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INTEGRATION SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SUPPORT & MAINTENANCE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY ANALYTICS PLATFORMS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY PREDICTIVE TOOLS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, 2018-2030 (USD MILLION)
  • TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY FACIAL RECOGNITION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY IMAGE PROCESSING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OBJECT DETECTION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MACHINE LEARNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 24. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REINFORCEMENT LEARNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 25. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SUPERVISED LEARNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 26. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY UNSUPERVISED LEARNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 27. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
  • TABLE 28. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 29. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SENTIMENT ANALYSIS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 30. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SPEECH RECOGNITION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 31. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TEXT ANALYSIS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 32. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 33. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
  • TABLE 34. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CUSTOMER SERVICE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 35. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CHATBOTS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 36. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INTERACTIVE VOICE RESPONSE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 37. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CUSTOMER SERVICE, 2018-2030 (USD MILLION)
  • TABLE 38. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INVENTORY MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 39. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY DEMAND FORECASTING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 40. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STOCK OPTIMIZATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 41. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 42. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SALES AND MARKETING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 43. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY DYNAMIC PRICING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 44. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY RECOMMENDATION ENGINES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 45. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SALES AND MARKETING, 2018-2030 (USD MILLION)
  • TABLE 46. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STORE OPERATIONS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 47. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY AUTOMATED CHECKOUT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 48. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SHELF MONITORING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 49. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STORE OPERATIONS, 2018-2030 (USD MILLION)
  • TABLE 50. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY END-USER TYPE, 2018-2030 (USD MILLION)
  • TABLE 51. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY BRICK-AND-MORTAR STORES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 52. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MULTI-CHANNEL RETAILERS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 53. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY ONLINE RETAILERS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 54. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 55. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 56. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, 2018-2030 (USD MILLION)
  • TABLE 57. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 58. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 59. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
  • TABLE 60. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 61. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
  • TABLE 62. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CUSTOMER SERVICE, 2018-2030 (USD MILLION)
  • TABLE 63. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 64. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SALES AND MARKETING, 2018-2030 (USD MILLION)
  • TABLE 65. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STORE OPERATIONS, 2018-2030 (USD MILLION)
  • TABLE 66. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY END-USER TYPE, 2018-2030 (USD MILLION)
  • TABLE 67. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 68. ARGENTINA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 69. ARGENTINA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 70. ARGENTINA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, 2018-2030 (USD MILLION)
  • TABLE 71. ARGENTINA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 72. ARGENTINA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 73. ARGENTINA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
  • TABLE 74. ARGENTINA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 75. ARGENTINA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
  • TABLE 76. ARGENTINA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CUSTOMER SERVICE, 2018-2030 (USD MILLION)
  • TABLE 77. ARGENTINA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 78. ARGENTINA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SALES AND MARKETING, 2018-2030 (USD MILLION)
  • TABLE 79. ARGENTINA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STORE OPERATIONS, 2018-2030 (USD MILLION)
  • TABLE 80. ARGENTINA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY END-USER TYPE, 2018-2030 (USD MILLION)
  • TABLE 81. BRAZIL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 82. BRAZIL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 83. BRAZIL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, 2018-2030 (USD MILLION)
  • TABLE 84. BRAZIL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 85. BRAZIL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 86. BRAZIL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
  • TABLE 87. BRAZIL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 88. BRAZIL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
  • TABLE 89. BRAZIL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CUSTOMER SERVICE, 2018-2030 (USD MILLION)
  • TABLE 90. BRAZIL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 91. BRAZIL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SALES AND MARKETING, 2018-2030 (USD MILLION)
  • TABLE 92. BRAZIL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STORE OPERATIONS, 2018-2030 (USD MILLION)
  • TABLE 93. BRAZIL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY END-USER TYPE, 2018-2030 (USD MILLION)
  • TABLE 94. CANADA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 95. CANADA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 96. CANADA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, 2018-2030 (USD MILLION)
  • TABLE 97. CANADA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 98. CANADA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 99. CANADA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
  • TABLE 100. CANADA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 101. CANADA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
  • TABLE 102. CANADA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CUSTOMER SERVICE, 2018-2030 (USD MILLION)
  • TABLE 103. CANADA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 104. CANADA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SALES AND MARKETING, 2018-2030 (USD MILLION)
  • TABLE 105. CANADA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STORE OPERATIONS, 2018-2030 (USD MILLION)
  • TABLE 106. CANADA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY END-USER TYPE, 2018-2030 (USD MILLION)
  • TABLE 107. MEXICO ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 108. MEXICO ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 109. MEXICO ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, 2018-2030 (USD MILLION)
  • TABLE 110. MEXICO ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 111. MEXICO ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 112. MEXICO ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
  • TABLE 113. MEXICO ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 114. MEXICO ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
  • TABLE 115. MEXICO ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CUSTOMER SERVICE, 2018-2030 (USD MILLION)
  • TABLE 116. MEXICO ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 117. MEXICO ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SALES AND MARKETING, 2018-2030 (USD MILLION)
  • TABLE 118. MEXICO ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STORE OPERATIONS, 2018-2030 (USD MILLION)
  • TABLE 119. MEXICO ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY END-USER TYPE, 2018-2030 (USD MILLION)
  • TABLE 120. UNITED STATES ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 121. UNITED STATES ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 122. UNITED STATES ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, 2018-2030 (USD MILLION)
  • TABLE 123. UNITED STATES ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 124. UNITED STATES ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 125. UNITED STATES ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
  • TABLE 126. UNITED STATES ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 127. UNITED STATES ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
  • TABLE 128. UNITED STATES ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CUSTOMER SERVICE, 2018-2030 (USD MILLION)
  • TABLE 129. UNITED STATES ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 130. UNITED STATES ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SALES AND MARKETING, 2018-2030 (USD MILLION)
  • TABLE 131. UNITED STATES ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STORE OPERATIONS, 2018-2030 (USD MILLION)
  • TABLE 132. UNITED STATES ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY END-USER TYPE, 2018-2030 (USD MILLION)
  • TABLE 133. UNITED STATES ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 134. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 135. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 136. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, 2018-2030 (USD MILLION)
  • TABLE 137. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 138. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 139. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
  • TABLE 140. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 141. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
  • TABLE 142. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CUSTOMER SERVICE, 2018-2030 (USD MILLION)
  • TABLE 143. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 144. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SALES AND MARKETING, 2018-2030 (USD MILLION)
  • TABLE 145. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STORE OPERATIONS, 2018-2030 (USD MILLION)
  • TABLE 146. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY END-USER TYPE, 2018-2030 (USD MILLION)
  • TABLE 147. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 148. AUSTRALIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 149. AUSTRALIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 150. AUSTRALIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, 2018-2030 (USD MILLION)
  • TABLE 151. AUSTRALIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 152. AUSTRALIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 153. AUSTRALIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
  • TABLE 154. AUSTRALIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 155. AUSTRALIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
  • TABLE 156. AUSTRALIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CUSTOMER SERVICE, 2018-2030 (USD MILLION)
  • TABLE 157. AUSTRALIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 158. AUSTRALIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SALES AND MARKETING, 2018-2030 (USD MILLION)
  • TABLE 159. AUSTRALIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STORE OPERATIONS, 2018-2030 (USD MILLION)
  • TABLE 160. AUSTRALIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY END-USER TYPE, 2018-2030 (USD MILLION)
  • TABLE 161. CHINA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 162. CHINA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 163. CHINA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, 2018-2030 (USD MILLION)
  • TABLE 164. CHINA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 165. CHINA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 166. CHINA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
  • TABLE 167. CHINA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 168. CHINA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
  • TABLE 169. CHINA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CUSTOMER SERVICE, 2018-2030 (USD MILLION)
  • TABLE 170. CHINA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 171. CHINA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SALES AND MARKETING, 2018-2030 (USD MILLION)
  • TABLE 172. CHINA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STORE OPERATIONS, 2018-2030 (USD MILLION)
  • TABLE 173. CHINA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY END-USER TYPE, 2018-2030 (USD MILLION)
  • TABLE 174. INDIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 175. INDIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 176. INDIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, 2018-2030 (USD MILLION)
  • TABLE 177. INDIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 178. INDIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 179. INDIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
  • TABLE 180. INDIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 181. INDIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
  • TABLE 182. INDIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CUSTOMER SERVICE, 2018-2030 (USD MILLION)
  • TABLE 183. INDIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 184. INDIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SALES AND MARKETING, 2018-2030 (USD MILLION)
  • TABLE 185. INDIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STORE OPERATIONS, 2018-2030 (USD MILLION)
  • TABLE 186. INDIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY END-USER TYPE, 2018-2030 (USD MILLION)
  • TABLE 187. INDONESIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 188. INDONESIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 189. INDONESIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, 2018-2030 (USD MILLION)
  • TABLE 190. INDONESIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 191. INDONESIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 192. INDONESIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
  • TABLE 193. INDONESIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 194. INDONESIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
  • TABLE 195. INDONESIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CUSTOMER SERVICE, 2018-2030 (USD MILLION)
  • TABLE 196. INDONESIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 197. INDONESIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SALES AND MARKETING, 2018-2030 (USD MILLION)
  • TABLE 198. INDONESIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STORE OPERATIONS, 2018-2030 (USD MILLION)
  • TABLE 199. INDONESIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY END-USER TYPE, 2018-2030 (USD MILLION)
  • TABLE 200. JAPAN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 201. JAPAN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 202. JAPAN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, 2018-2030 (USD MILLION)
  • TABLE 203. JAPAN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 204. JAPAN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 205. JAPAN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
  • TABLE 206. JAPAN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 207. JAPAN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
  • TABLE 208. JAPAN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CUSTOMER SERVICE, 2018-2030 (USD MILLION)
  • TABLE 209. JAPAN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 210. JAPAN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SALES AND MARKETING, 2018-2030 (USD MILLION)
  • TABLE 211. JAPAN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STORE OPERATIONS, 2018-2030 (USD MILLION)
  • TABLE 212. JAPAN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY END-USER TYPE, 2018-2030 (USD MILLION)
  • TABLE 213. MALAYSIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 214. MALAYSIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 215. MALAYSIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, 2018-2030 (USD MILLION)
  • TABLE 216. MALAYSIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 217. MALAYSIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 218. MALAYSIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
  • TABLE 219. MALAYSIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 220. MALAYSIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
  • TABLE 221. MALAYSIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CUSTOMER SERVICE, 2018-2030 (USD MILLION)
  • TABLE 222. MALAYSIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 223. MALAYSIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SALES AND MARKETING, 2018-2030 (USD MILLION)
  • TABLE 224. MALAYSIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STORE OPERATIONS, 2018-2030 (USD MILLION)
  • TABLE 225. MALAYSIA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY END-USER TYPE, 2018-2030 (USD MILLION)
  • TABLE 226. PHILIPPINES ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 227. PHILIPPINES ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 228. PHILIPPINES ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, 2018-2030 (USD MILLION)
  • TABLE 229. PHILIPPINES ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 230. PHILIPPINES ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 231. PHILIPPINES ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
  • TABLE 232. PHILIPPINES ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 233. PHILIPPINES ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
  • TABLE 234. PHILIPPINES ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CUSTOMER SERVICE, 2018-2030 (USD MILLION)
  • TABLE 235. PHILIPPINES ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 236. PHILIPPINES ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SALES AND MARKETING, 2018-2030 (USD MILLION)
  • TABLE 237. PHILIPPINES ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STORE OPERATIONS, 2018-2030 (USD MILLION)
  • TABLE 238. PHILIPPINES ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY END-USER TYPE, 2018-2030 (USD MILLION)
  • TABLE 239. SINGAPORE ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 240. SINGAPORE ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 241. SINGAPORE ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, 2018-2030 (USD MILLION)
  • TABLE 242. SINGAPORE ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 243. SINGAPORE ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 244. SINGAPORE ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
  • TABLE 245. SINGAPORE ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 246. SINGAPORE ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
  • TABLE 247. SINGAPORE ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CUSTOMER SERVICE, 2018-2030 (USD MILLION)
  • TABLE 248. SINGAPORE ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 249. SINGAPORE ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SALES AND MARKETING, 2018-2030 (USD MILLION)
  • TABLE 250. SINGAPORE ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STORE OPERATIONS, 2018-2030 (USD MILLION)
  • TABLE 251. SINGAPORE ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY END-USER TYPE, 2018-2030 (USD MILLION)
  • TABLE 252. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 253. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 254. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, 2018-2030 (USD MILLION)
  • TABLE 255. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 256. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 257. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
  • TABLE 258. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 259. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
  • TABLE 260. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CUSTOMER SERVICE, 2018-2030 (USD MILLION)
  • TABLE 261. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 262. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SALES AND MARKETING, 2018-2030 (USD MILLION)
  • TABLE 263. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STORE OPERATIONS, 2018-2030 (USD MILLION)
  • TABLE 264. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY END-USER TYPE, 2018-2030 (USD MILLION)
  • TABLE 265. TAIWAN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 266. TAIWAN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 267. TAIWAN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, 2018-2030 (USD MILLION)
  • TABLE 268. TAIWAN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 269. TAIWAN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 270. TAIWAN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
  • TABLE 271. TAIWAN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 272. TAIWAN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
  • TABLE 273. TAIWAN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CUSTOMER SERVICE, 2018-2030 (USD MILLION)
  • TABLE 274. TAIWAN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 275. TAIWAN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SALES AND MARKETING, 2018-2030 (USD MILLION)
  • TABLE 276. TAIWAN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STORE OPERATIONS, 2018-2030 (USD MILLION)
  • TABLE 277. TAIWAN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY END-USER TYPE, 2018-2030 (USD MILLION)
  • TABLE 278. THAILAND ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 279. THAILAND ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 280. THAILAND ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, 2018-2030 (USD MILLION)
  • TABLE 281. THAILAND ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 282. THAILAND ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 283. THAILAND ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
  • TABLE 284. THAILAND ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 285. THAILAND ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
  • TABLE 286. THAILAND ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CUSTOMER SERVICE, 2018-2030 (USD MILLION)
  • TABLE 287. THAILAND ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 288. THAILAND ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SALES AND MARKETING, 2018-2030 (USD MILLION)
  • TABLE 289. THAILAND ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STORE OPERATIONS, 2018-2030 (USD MILLION)
  • TABLE 290. THAILAND ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY END-USER TYPE, 2018-2030 (USD MILLION)
  • TABLE 291. VIETNAM ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 292. VIETNAM ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 293. VIETNAM ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, 2018-2030 (USD MILLION)
  • TABLE 294. VIETNAM ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)