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市場調查報告書
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1715587

零售市場人工智慧（按產品、技術、應用領域和最終用戶類型）—2025-2030 年全球預測

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個工作天內

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預計零售人工智慧市場規模在 2023 年將達到 154.8 億美元，在 2024 年將成長至 177.4 億美元，在 2030 年將達到 413.9 億美元，複合年成長率為 15.08%。

主要市場統計數據
基準年2023年 154.8億美元
預計2024年 177.4億美元
預測年份 2030 413.9億美元
複合年成長率（%） 15.08%

在快速發展的零售業中，人工智慧 (AI) 不再是一個未來概念，而是一個正在重塑行業各個方面的現代現實。世界各地的零售商正在採用先進的演算法、數據主導的洞察力和智慧自動化來改善客戶體驗、簡化業務並提高盈利。本介紹分析深入探討了人工智慧對零售業的變革性影響，並探討了企業在日益數位化的環境中保持競爭力的關鍵技術創新和市場策略。

這種轉變的核心是強大的數據分析和機器學習的整合，使零售商能夠預測趨勢、個人化客戶互動並最佳化供應鏈。隨著數位轉型的加速，零售商正在重新構想傳統經營模式，並投資不斷發展的人工智慧技術，以滿足消費者期望和產業需求。人工智慧的影響涵蓋了從微觀業務調整到宏觀市場策略的方方面面，為快速變化的市場帶來了可行的見解和前所未有的敏捷性。

該分析揭示了對人工智慧工具和服務的策略性投資如何推動決策、客戶參與和業務效率的顯著提高，從而奠定了基礎。透過利用這些技術進步，企業不僅可以最佳化成本，還可以透過增強個人化和主動服務管理重新定義客戶旅程。簡而言之，零售業的人工智慧革命不僅僅是採用技術，而是重新構想整個價值鏈，以創造更智慧、更快速、更互聯的零售生態系統。

利用人工智慧創新改變零售業

隨著人工智慧技術的採用，零售業格局正在發生模式轉移，人工智慧技術推動業務效率和客戶滿意度的提高。當今的零售業領導者正在透過智慧自動化、即時分析和自我調整學習系統等尖端創新超越傳統系統。重點是建立一個整合平台，可以根據市場刺激動態調整零售流程、供應鏈管理和客戶服務業務。

關鍵的轉型變化包括加速數位轉型，這是對傳統零售策略全面反思的基礎。人工智慧洞察力使零售商能夠從被動決策轉變為主動決策。例如，由預測分析支援動態庫存策略可以使商店預測需求並有效調整存量基準以減少浪費並提高服務水準。此外，電腦視覺和機器學習的廣泛使用改善了店內管理和顧客行為的追蹤，從而帶來了更個人化的購物體驗。

此外，自然語言處理技術的進步正在將零售生態系統擴展到客戶互動更加直覺和個人化的領域。無論是提供即時客戶支援的聊天機器人，還是促進無縫交易的語音系統，這些技術的採用都使零售業變得更加便利和引人入勝。這種轉型不僅提高了營運的精確度，也為擺脫傳統零售實踐的創新解決方案奠定了基礎，為更智慧、更響應的零售環境鋪平了道路。

人工智慧主導零售的全面細分分析

了解市場區隔的細微差別可以揭示人工智慧滲透零售業的複雜層面。市場區隔仔細區分服務和軟體工具。服務包括廣泛的諮詢、整合和支援與維護服務，每項服務都幫助零售商準確部署人工智慧解決方案並提供客製化指導。在軟體方面，分析平台和預測工具等關鍵工具可以從複雜的資料集中獲得可操作的見解，簡化操作並實現更準確的需求預測。

深入挖掘，基於技術的細分檢驗電腦視覺、機器學習和自然語言處理。在電腦視覺領域，應用程式細分為臉部辨識、影像處理和物件偵測等領域，這些領域對於增強實體零售空間的安全性和客戶互動至關重要。機器學習的細分進一步分為強化學習、監督學習和無監督學習，每種學習方式在開發學習和適應即時零售數據的系統中都發揮關鍵作用。同時，自然語言處理部分專注於情感分析、語音辨識和文字分析，客戶參與至關重要。

此外，基於應用領域的細分涵蓋了客戶服務、庫存管理、銷售和行銷、商店營運等關鍵零售功能。在這些類別中，特定的應用程式已經變得複雜，從客戶服務中的聊天機器人和互動式語音響應到銷售和行銷中的動態定價和建議引擎。庫存管理正在隨著需求預測和庫存最佳化而進步，而商店營運則受益於自動結帳和貨架監控等創新。最後，根據最終用戶類型進行分類，區分實體店、多通路零售商和線上平台，強調應對不同零售環境所需的客製化方法。這種分層細分框架深入了解了人工智慧在整個零售生態系統中可以實現的多方面實施，從而提高效率、創新和競爭優勢。

目錄

第1章 引言

第2章調查方法

第3章執行摘要

第4章 市場概述

第5章 市場洞察

  • 市場動態
    • 驅動程式
      • 增加聊天機器人和虛擬助理的使用，以簡化客戶服務業務
      • 透過人工智慧推薦實現個人化購物體驗的需求日益成長
    • 限制因素
      • 在零售應用中開發和部署人工智慧技術的高成本
    • 機會
      • 開發人工智慧技術以改善店內體驗和結帳流程
      • 擴大合作與夥伴關係，利用人工智慧發展零售供應鏈
    • 任務
      • 零售環境中與人工智慧技術相關的資料隱私和安全風險
  • 市場區隔分析
    • 提供：服務在人工智慧驅動的零售創新中發揮的作用，從而實現數位轉型
    • 科技：利用先進的電腦視覺技術開發零售業
    • 應用領域：利用人工智慧在銷售和行銷、動態定價和個人化推薦方面改變零售業
    • 終端用戶類型：實體店的人工智慧驅動成長將提升客戶體驗和業務效率
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社會
    • 技術的
    • 合法的
    • 環境

第6章 零售市場中的人工智慧（按產品提供）

  • 服務
    • 諮詢服務
    • 整合服務
    • 支援和維護
  • 軟體工具
    • 分析平台
    • 預測工具

第7章 零售市場中的人工智慧（按技術）

  • 電腦視覺
    • 臉部辨識
    • 影像處理
    • 物體偵測
  • 機器學習
    • 強化學習
    • 監督學習
    • 無監督學習
  • 自然語言處理
    • 情緒分析
    • 語音辨識
    • 文字分析

第8章 零售業人工智慧市場（按應用領域）

  • 客戶服務
    • 聊天機器人
    • 互動式語音應答
  • 庫存管理
    • 需求預測
    • 庫存最佳化
  • 銷售和行銷
    • 動態定價
    • 建議引擎
  • 店舖管理
    • 自動退房
    • 貨架監控

第9章零售市場人工智慧（按最終用戶類型）

  • 實體店面
  • 多通路零售商
  • 線上零售商

第10章美國零售業人工智慧市場

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美國

11. 亞太地區人工智慧零售市場

  • 澳洲
  • 中國
  • 印度
  • 印尼
  • 日本
  • 馬來西亞
  • 菲律賓
  • 新加坡
  • 韓國
  • 台灣
  • 泰國
  • 越南

第12章歐洲、中東和非洲零售業人工智慧市場

  • 丹麥
  • 埃及
  • 芬蘭
  • 法國
  • 德國
  • 以色列
  • 義大利
  • 荷蘭
  • 奈及利亞
  • 挪威
  • 波蘭
  • 卡達
  • 俄羅斯
  • 沙烏地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公國
  • 英國

第13章競爭格局

  • 2023年市場佔有率分析
  • 2023年FPNV定位矩陣
  • 競爭情境分析
  • 戰略分析與建議

公司名單

  • 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)