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零售市場人工智慧按產品、類型、業務部門、最終用戶和地區分類 - 2030 年預測
市場調查報告書
商品編碼
1652608

零售市場人工智慧按產品、類型、業務部門、最終用戶和地區分類 - 2030 年預測

Artificial Intelligence in Retail Market by Solution (Personalized Product Recommendation, Visual Search, Virtual Stores, Virtual Customer Assistant, CRM), Type (Generative AI, Other AI), End-user (Online, Offline) - Global Forecast to 2030
出版日期: | 出版商: MarketsandMarkets | 英文 320 Pages | 訂單完成後即時交付

價格

零售業人工智慧市場規模預計在 2024 年達到 311.2 億美元，在 2030 年達到 1,647.4 億美元，2024 年至 2030 年的複合年成長率為 32.0%。

零售業採用人工智慧的關鍵促進因素之一是消費者對個人化購物體驗的需求日益成長。機器學習和自然語言處理等人工智慧技術使零售商能夠分析大量消費者資料以了解偏好和行為模式。這種資料主導的洞察力使零售商能夠提供個人化的建議、有針對性的促銷和客製化的行銷策略。對於希望透過零售市場的超個人化來提高客戶參與和滿意度的企業來說，人工智慧解決方案已經變得至關重要。

研究範圍
調查年份 2019-2030
基準年 2023
預測期 2024-2030
考慮單位 美元（十億美元）
按細分市場 按產品、按類型、按業務部門、按最終用戶、按地區
目標區域 北美、歐洲、亞太地區、中東和非洲、拉丁美洲

零售業的人工智慧正在透過提供更好的工具和業務洞察力來增強客戶參與、個人化行銷活動和最佳化銷售流程，從而改變行銷和銷售業務功能。人工智慧聊天機器人和人工智慧虛擬助理可以透過在整個購買過程中提供快速支援和指導來幫助改善客戶體驗。人工智慧正在透過實現超個人化的宣傳活動和產品推薦徹底改變行銷。亞馬遜和 eBay 等公司正在使用人工智慧來分析客戶資料和偏好，以幫助提供個人化廣告、產品提案和促銷。人工智慧的另一個應用是動態定價，它允許價格像在現實生活中一樣頻繁變化，以回應需求、競爭和客戶行為。人工智慧還可以透過向相關客戶發送有針對性的訊息來幫助管理客戶忠誠度計畫。生成式人工智慧用於自動創建行銷內容，包括電子郵件和廣告。運用人工智慧進行行銷和銷售的領先主要企業包括阿里巴巴、H&M 和耐吉。

視覺搜尋利用人工智慧來改變購物體驗，讓顧客透過上傳圖片和檢索類似產品更容易搜尋產品。這項技術在時尚產業和家居裝飾中廣泛應用。人工智慧主導的視覺搜尋追蹤客戶搜尋歷史記錄和需求並提供客製化解決方案。視覺搜尋技術將線上和線下購物連接在一起，使線上和線下購物變得相同。消費者可以拍攝自己感興趣的產品的照片，進行視覺搜尋，並在線獲取有關該產品的更多詳細資訊。這使得顧客能夠更輕鬆地購買到自己需要的產品，提供了更大的便利。零售商還可以使用視覺搜尋進行庫存管理，因為它可以讓他們查看當前庫存並知道何時更新某些產品。 ASOS 等電子商務巨頭正在部署視覺搜尋技術來改善消費者的購物體驗。

預計中東零售市場將實現高成長，這得益於幾個關鍵因素，包括政府鼓勵採用人工智慧以及公司將投資重點放在阿拉伯聯合大公國和沙烏地阿拉伯。電子商務領域也在推動零售商探索人工智慧解決方案，以更好地了解線上消費者行為並最佳化他們的數位行銷策略。此外，零售商正在使用資料分析來改善店內佈局和商品行銷，以增強整體購物體驗。 Presight 和英特爾的策略合作夥伴關係旨在促進中東地區先進的人工智慧解決方案，這表明利用人工智慧來獲得更好的客戶洞察力和增強店內購物體驗的趨勢日益成長。隨著電子商務的興起鼓勵零售商採用人工智慧主導的策略，南非和阿拉伯聯合大公國等開發中國家預計將實現顯著成長。

本報告研究了全球零售業人工智慧市場，並根據產品、類型、業務部門、最終用戶、地理位置和市場參與者的概況進行細分。

目錄

第 1 章 簡介

第2章調查方法

第3章執行摘要

第 4 章重要考察

第5章 市場概況及產業趨勢

  • 介紹
  • 市場動態
  • 影響客戶業務的趨勢/中斷
  • 定價分析
  • 供應鏈分析
  • 生態系統
  • 技術分析
  • 專利分析
  • 貿易分析
  • 2024-2026 年重要會議與活動
  • 關稅和監管狀況
  • 波特五力分析
  • 主要相關人員和採購標準
  • 零售業人工智慧的演變
  • 案例研究分析

第6章 零售市場中的人工智慧（依產品分類）

  • 介紹
  • 解決方案
  • 服務

第7章 零售業人工智慧市場（按類型）

  • 介紹
  • 生成式人工智慧
  • 其他

第 8 章 零售業人工智慧市場（按業務部門分類）

  • 介紹
  • 行銷和銷售
  • 人力資源
  • 財會
  • 手術
  • 網路安全

第 9 章 零售業市場中的人工智慧（按最終用戶分類）

  • 介紹
  • 線上
  • 離線

第 10 章 零售業人工智慧市場（按地區）

  • 介紹
  • 北美洲
    • 北美：宏觀經濟展望
    • 美國
    • 加拿大
  • 歐洲
    • 歐洲：宏觀經濟展望
    • 英國
    • 義大利
    • 德國
    • 法國
    • 西班牙
    • 北歐國家
    • 其他
  • 亞太地區
    • 亞太地區：宏觀經濟展望
    • 中國
    • 日本
    • 印度
    • 澳洲和紐西蘭
    • 韓國
    • 東南亞國協
    • 其他
  • 中東和非洲
    • 中東與非洲：宏觀經濟展望
  • 拉丁美洲
    • 拉丁美洲：宏觀經濟展望
    • 巴西
    • 墨西哥
    • 阿根廷
    • 其他

第11章 競爭格局

  • 介紹
  • 主要參與企業的策略/優勢
  • 收益分析
  • 市場佔有率分析
  • 公司估值矩陣：主要參與企業，2023 年
  • 公司估值矩陣：Start-Ups/中小企業，2023 年
  • 競爭情境和趨勢
  • 品牌/產品比較
  • 企業估值與財務指標

第12章 公司簡介

  • 主要參與企業
    • IBM
    • AMAZON
    • SALESFORCE, INC.
    • ORACLE
    • MICROSOFT
    • GOOGLE
    • NVIDIA
    • ACCENTURE
    • SAP SE
    • SERVICENOW
    • INFOSYS
    • INTEL CORPORATION
    • AMD
    • HUAWEI
    • ALIBABA
    • FUJITSU
    • CAPGEMINI
    • TCS
    • TALKDESK
    • SYMPHONY AI
    • BLOOMREACH
    • C3.AI
  • Start-Ups/小型企業
    • VISENZE
    • PATHR.AI
    • VUE.AI
    • NEXTAIL
    • DAISY INTELLIGENCE
    • CRESTA
    • MASON
    • SYTE
    • TRAX RETAIL
    • FEEDZAI
    • SHOPIC
    • ITREX
    • H2O.AI
    • RETAILMETRIX

第13章 相鄰/相關市場

第14章 附錄

Product Code: TC 5669

The Artificial intelligence in retail market is estimated to be USD 31.12 billion in 2024 to USD 164.74 billion in 2030 at a CAGR of 32.0% from 2024 to 2030. One of the primary drivers for AI adoption in retail is the growing consumer demand for personalized shopping experiences. AI technologies such as machine learning and natural language processing enable retailers to analyze large volumes of consumer data to understand preferences and behavior patterns. This data-driven insight allows retailers to offer personalized recommendations, targeted promotions, and tailor-made marketing strategies. AI solutions are becoming essential for businesses seeking to enhance customer engagement and satisfaction due to hyper-personalization in the retail market.

Scope of the Report
Years Considered for the Study2019-2030
Base Year2023
Forecast Period2024-2030
Units ConsideredUSD (Billion)
SegmentsBy Offering, Type, Business Function, End-user and Region
Regions coveredNorth America, Europe, Asia Pacific, Middle East & Africa, and Latin America

"During the forecast period, the marketing and sales business function contributed the largest market share in the artificial intelligence in the retail market."

AI in retail is changing the marketing and sales business functions by offering superior tools and business insights that enhance customer engagement, personalize marketing efforts, and optimize sales processes. AI Chatbots and AI virtual assistants can help to improve customers' experience by offering prompt support and helping them navigate throughout the buying process. AI revolutionizes marketing by enabling hyper-personalized campaigns and product recommendations; companies such as Amazon and eBay use AI to analyze customer data and preferences, helping them deliver personalized ads, product suggestions, and promotions. Another application of AI is dynamic pricing, where the prices can change as frequently as in real life depending on the demand, competition, and customers' behavior. AI also assists in managing customer loyalty programs by targeting relevant customers with targeted messages. Generative AI is used to automate content creation for marketing, including emails and advertisements. Some key players at the forefront of using AI in marketing and sales include Alibaba, H&M, and Nike.

"The visual search solution is projected to register the highest CAGR during the forecast period."

Visual search employs AI to make it easier for customers to search for products by uploading images and getting similar products, changing the shopping experience. This technology showcased higher usage in the fashion industry and in home decor. AI-driven visual search tracks customer's search history and needs to provide customized solutions. Visual search technology makes shopping online and offline identical by interconnecting them. Consumers can snap images of the goods they are interested in and conduct a visual search to get their details online. This makes it easier for the customer to buy the needed products, thus increasing convenience. Retailers can also use visual search to manage their stock since they get to keep an eye on their current stock and know when certain products need to be renewed. E-commerce giants such as ASOS have implemented visual search technology to enhance the shopping experience among consumers.

"Middle East & Africa will register the highest growth rate during the forecast period."

Middle Eastern retail market is estimated to grow at a higher growth due to several key factors, such as governments promoting AI adoption and businesses heavily investing in UAE and KSA. The e-commerce sector also compels retailers to explore AI solutions to understand online consumer behavior better and optimize their digital marketing strategies. Additionally, retailers leverage data analytics to improve in-store layouts and visual merchandising, enhancing the overall shopping experience. Presight's strategic alliance with Intel aims to foster advanced AI solutions across the Middle East, indicating a strong trend toward harnessing AI for improved customer insights and enhanced in-store shopping experiences. Developing nations such as South Africa and the UAE are anticipated to see notable growth, driven by e-commerce advancements encouraging retailers to adopt AI-driven strategies.

Breakdown of primaries

The study contains insights from various industry experts, from solution vendors to Tier 1 companies. The break-up of the primaries is as follows:

  • By Company Type: Tier 1 - 62%, Tier 2 - 23%, and Tier 3 - 15%
  • By Designation: C-level -50%, D-level - 30%, and Managers - 20%
  • By Region: North America - 38%, Europe - 15%, Asia Pacific - 35%, Middle East & Africa- 7%, and Latin America- 5%.

The major players in the Artificial intelligence in retail market are Microsoft (US), IBM (US), Google (US), Amazon (US), Oracle (US), Salesforce (US), NVIDIA (US), SAP (Germany), Servicenow (US), Accenture (Ireland), Infosys (India), Alibaba (China), Intel (US), AMD (US), Fujitsu (Japan), Capgemini (France), TCS (India), Talkdesk (US), Symphony AI (US), Bloomreach (US), C3.AI (US), Visenze (Singapore), Pathr.ai (US), Vue.AI (US), Nextail (Spain), Daisy Intelligence (Canada), Cresta (US), Mason (US), Syte(Israel), Trax(Singapore), Feedzai(US) and Shopic(Israel). These players have adopted various growth strategies, such as partnerships, agreements and collaborations, new product launches, enhancements, and acquisitions to expand their artificial intelligence in retail footprint.

Research Coverage

The market study covers the artificial intelligence in retail market size across different segments. It aims to estimate the market size and the growth potential across various segments, including offering, infrastructure platform, application performance platform, security platform, digital experience platform, workforce operations platform, vertical, and region. The study includes an in-depth competitive analysis of the leading market players, their company profiles, key observations related to product and business offerings, recent developments, and market strategies.

Key Benefits of Buying the Report

The report will help market leaders and new entrants with information on the closest approximations of the global artificial intelligence in retail market's revenue numbers and subsegments. It will also help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. Moreover, the report will provide insights for stakeholders to understand the market's pulse and provide them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

Analysis of key drivers (increasing adoption of conversational AI in retail for advice and recommendations, evolving consumer expectations and social commerce integration, enhancing checkout experiences with AI-powered automation, data-driven decision making), restraints (high implementation costs, data privacy and security), opportunities (AI-powered customer engagement, enhanced decision-making with predictive analytics, AI in supply chain optimization) and challenges (addressing rising theft and fraud issues, integration with legacy systems, ethical concerns in AI) influencing the growth of the artificial intelligence in retail market.

Product Development/Innovation: Detailed insights on upcoming technologies, research and development activities, and new product and service launches in the artificial intelligence in retail market. Market Development: Comprehensive information about lucrative markets - the report analyses various regions' artificial intelligence in retail markets. Market Diversification: Exhaustive information about new products and services, untapped geographies, recent developments, and investments in the artificial intelligence in retail market. Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players such as Microsoft (US), IBM (US), Google (US), Amazon (US), Oracle (US), Salesforce (US), NVIDIA (US), SAP (Germany), Servicenow (US), Accenture (Ireland), Infosys (India), Alibaba (China), Intel (US), AMD (US), Fujitsu (Japan), Capgemini (France), TCS (India), Talkdesk (US), Symphony AI (US), Bloomreach (US), C3.AI (US), Visenze (Singapore), Pathr.ai (US), Vue.AI (US), Nextail (Spain), Daisy Intelligence (Canada), Cresta (US), Mason (US), Syte (Israel), Trax (Singapore), Feedzai (US) and Shopic (Israel).

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 STUDY OBJECTIVES
  • 1.2 MARKET DEFINITION
  • 1.3 STUDY SCOPE
    • 1.3.1 MARKET SEGMENTATION
    • 1.3.2 INCLUSIONS AND EXCLUSIONS
  • 1.4 YEARS CONSIDERED
  • 1.5 CURRENCY CONSIDERED
  • 1.6 STAKEHOLDERS

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • 2.1.1 SECONDARY DATA
      • 2.1.1.1 Key data from secondary sources
    • 2.1.2 PRIMARY DATA
      • 2.1.2.1 Breakup of primary interviews
      • 2.1.2.2 Primary interviews with experts
      • 2.1.2.3 Key insights from industry experts
  • 2.2 MARKET SIZE ESTIMATION METHODOLOGY
    • 2.2.1 TOP-DOWN APPROACH
      • 2.2.1.1 Supply-side analysis
    • 2.2.2 BOTTOM-UP APPROACH
      • 2.2.2.1 Demand-side analysis
  • 2.3 DATA TRIANGULATION
  • 2.4 RESEARCH ASSUMPTIONS
  • 2.5 RESEARCH LIMITATIONS
  • 2.6 RISK ASSESSMENT

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE OPPORTUNITIES FOR KEY PLAYERS IN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET
  • 4.2 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING
  • 4.3 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE
  • 4.4 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION
  • 4.5 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE
  • 4.6 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION
  • 4.7 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY END USER
  • 4.8 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, TOP THREE SOLUTIONS AND SERVICES

5 MARKET OVERVIEW AND INDUSTRY TRENDS

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • 5.2.1 DRIVERS
      • 5.2.1.1 Increasing adoption of conversational AI in retail for advice and recommendations
      • 5.2.1.2 Evolving consumer expectations and social media integration
      • 5.2.1.3 Enhancing checkout experiences with AI-powered automation
      • 5.2.1.4 Data-driven decision-making
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 High implementation costs
      • 5.2.2.2 Data privacy and security
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 AI-powered customer engagement
      • 5.2.3.2 Enhanced decision-making with predictive analytics
      • 5.2.3.3 AI in supply chain optimization
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Rising theft and fraud issues
      • 5.2.4.2 Complexity in integrating with legacy systems
      • 5.2.4.3 Ethical concerns in AI
  • 5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • 5.4 PRICING ANALYSIS
    • 5.4.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY SOLUTION
    • 5.4.2 INDICATIVE PRICING ANALYSIS OF ARTIFICIAL INTELLIGENCE IN RETAIL KEY PLAYERS
  • 5.5 SUPPLY CHAIN ANALYSIS
  • 5.6 ECOSYSTEM
  • 5.7 TECHNOLOGY ANALYSIS
    • 5.7.1 KEY TECHNOLOGIES
      • 5.7.1.1 Conversational AI
      • 5.7.1.2 Autonomous AI & autonomous agent
      • 5.7.1.3 AutoML
    • 5.7.2 COMPLEMENTARY TECHNOLOGIES
      • 5.7.2.1 Edge computing
      • 5.7.2.2 Big data analytics
      • 5.7.2.3 Cloud computing
    • 5.7.3 ADJACENT TECHNOLOGIES
      • 5.7.3.1 Blockchain
      • 5.7.3.2 Cybersecurity solutions
  • 5.8 PATENT ANALYSIS
    • 5.8.1 LIST OF MAJOR PATENTS
  • 5.9 TRADE ANALYSIS
    • 5.9.1 EXPORT SCENARIO OF PROCESSORS AND CONTROLLERS
    • 5.9.2 IMPORT SCENARIO OF PROCESSORS AND CONTROLLERS
  • 5.10 KEY CONFERENCES AND EVENTS, 2024-2026
  • 5.11 TARIFF AND REGULATORY LANDSCAPE
    • 5.11.1 TARIFF DATA (HSN: 854231) - PROCESSORS AND CONTROLLERS
    • 5.11.2 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • 5.11.3 KEY REGULATIONS
      • 5.11.3.1 North America
        • 5.11.3.1.1 SCR 17: Artificial Intelligence Bill (California)
        • 5.11.3.1.2 S1103: Artificial Intelligence Automated Decision Bill (Connecticut)
        • 5.11.3.1.3 National Artificial Intelligence Initiative Act (NAIIA)
        • 5.11.3.1.4 The Artificial Intelligence and Data Act (AIDA) - Canada
      • 5.11.3.2 Europe
        • 5.11.3.2.1 The European Union (EU) - Artificial Intelligence Act (AIA)
        • 5.11.3.2.2 General Data Protection Regulation (Europe)
      • 5.11.3.3 Asia Pacific
        • 5.11.3.3.1 Interim Administrative Measures for Generative Artificial Intelligence Services (China)
        • 5.11.3.3.2 The National AI Strategy (Singapore)
        • 5.11.3.3.3 The Hiroshima AI Process Comprehensive Policy Framework (Japan)
      • 5.11.3.4 Middle East & Africa
        • 5.11.3.4.1 The National Strategy for Artificial Intelligence (UAE)
        • 5.11.3.4.2 The National Artificial Intelligence Strategy (Qatar)
        • 5.11.3.4.3 The AI Ethics Principles and Guidelines (Dubai)
      • 5.11.3.5 Latin America
        • 5.11.3.5.1 The Santiago Declaration (Chile)
        • 5.11.3.5.2 The Brazilian Artificial Intelligence Strategy (EBIA)
  • 5.12 PORTER'S FIVE FORCES' ANALYSIS
    • 5.12.1 THREAT OF NEW ENTRANTS
    • 5.12.2 THREAT OF SUBSTITUTES
    • 5.12.3 BARGAINING POWER OF BUYERS
    • 5.12.4 BARGAINING POWER OF SUPPLIERS
    • 5.12.5 INTENSITY OF COMPETITIVE RIVALRY
  • 5.13 KEY STAKEHOLDERS AND BUYING CRITERIA
    • 5.13.1 KEY STAKEHOLDERS IN BUYING PROCESS
    • 5.13.2 BUYING CRITERIA
  • 5.14 EVOLUTION OF ARTIFICIAL INTELLIGENCE IN RETAIL
  • 5.15 CASE STUDY ANALYSIS
    • 5.15.1 TARGET LEVERAGED GOOGLE CLOUD TO ENHANCE CUSTOMER EXPERIENCES AND ACHIEVE SIGNIFICANT REVENUE GROWTH
    • 5.15.2 PRADA GROUP IMPROVED CUSTOMER EXPERIENCE USING ORACLE'S CLOUD SOLUTIONS FOR PERSONALIZED RETAIL STRATEGIES
    • 5.15.3 PEPE JEANS INDIA AUGMENTED ONLINE SHOPPING WITH SALESFORCE BY FOCUSING ON DIRECT CONSUMER ENGAGEMENT AND PERSONALIZATION
    • 5.15.4 WALMART ENHANCED DIGITAL SHOPPING WITH MICROSOFT'S GENERATIVE AI FOR PERSONALIZED SEARCH AND IMPROVED CX
    • 5.15.5 AI-POWERED CHECKOUT-FREE SHOPPING SOLUTION TRANSFORMED RETAIL OPERATIONS OF ITREX GROUP
    • 5.15.6 SNITCH LEVERAGED VISENZE TO OFFER PERSONALIZED SHOPPING EXPERIENCE
    • 5.15.7 MYNTRA LEVERAGED VISENZE'S DISCOVERY SUITE TO POWER ITS 'VIEW SIMILAR' CAROUSEL
    • 5.15.8 MACY'S AI-DRIVEN SHOPPING ASSISTANT HIGHLIGHTED INCREASING IMPORTANCE OF MOBILE IN IN-STORE SHOPPING EXPERIENCE
    • 5.15.9 MARKS & SPENCER ACHIEVED 185% ROAS INCREASE WITH MICROSOFT PERFORMANCE MAX
    • 5.15.10 WEIS MARKETS PARTNERED WITH SYMPHONYAI CINDE FOR ADVANCED AI-POWERED CUSTOMER ANALYTICS TO ENHANCE CATEGORY MANAGEMENT

6 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING

  • 6.1 INTRODUCTION
    • 6.1.1 OFFERINGS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET DRIVERS
  • 6.2 SOLUTIONS
    • 6.2.1 PERSONALIZED PRODUCT RECOMMENDATIONS
      • 6.2.1.1 AI to help tailor product suggestions based on customer behavior and drive engagement and sales in retail
    • 6.2.2 CUSTOMER RELATIONSHIP MANAGEMENT
      • 6.2.2.1 AI-driven CRM to automate personalized marketing and customer segmentation and churn prevention strategies
    • 6.2.3 VISUAL SEARCH
      • 6.2.3.1 Visual search to enable customers find products using images and enhance discovery and shopping experiences
    • 6.2.4 VIRTUAL CUSTOMER ASSISTANT
      • 6.2.4.1 AI-powered virtual assistants to offer real-time customer support, improving response times and personalization
    • 6.2.5 PRICE OPTIMIZATION
      • 6.2.5.1 AI-powered price optimization to help retailers adjust prices dynamically based on competition, demand, and market conditions
    • 6.2.6 SUPPLY CHAIN MANAGEMENT & DEMAND PLANNING
      • 6.2.6.1 AI to optimize retail supply chains by predicting demand and streamlining inventory management
    • 6.2.7 VIRTUAL STORES
      • 6.2.7.1 AI to offer immersive shopping experiences with AR and VR technologies
    • 6.2.8 SMART CHECKOUT
      • 6.2.8.1 AI to eliminate wait times and enable frictionless shopping experiences
    • 6.2.9 OTHER SOLUTIONS
  • 6.3 SERVICES
    • 6.3.1 PROFESSIONAL SERVICES
      • 6.3.1.1 Professional services in AI for retail to help businesses effectively integrate advanced AI technologies into their operations
      • 6.3.1.2 Training & consulting
        • 6.3.1.2.1 Optimizing IT operations for improved business performance to propel market
      • 6.3.1.3 System integration & deployment
        • 6.3.1.3.1 System integration & deployment services to help retailers seamlessly incorporate AI solutions into their existing infrastructure
      • 6.3.1.4 Support & maintenance
        • 6.3.1.4.1 Support & maintenance services in AI for retail to ensure that AI systems function optimally post-deployment
    • 6.3.2 MANAGED SERVICES
      • 6.3.2.1 Managed services in AI to provide continuous monitoring and management of AI systems for scalability and efficiency

7 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE

  • 7.1 INTRODUCTION
    • 7.1.1 TYPES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET DRIVERS
  • 7.2 GENERATIVE AI
  • 7.3 OTHER AI
    • 7.3.1 DISCRIMINATIVE MACHINE LEARNING
      • 7.3.1.1 ML to optimize retail with personalized recommendations, dynamic pricing, and efficient demand forecasting
    • 7.3.2 NATURAL LANGUAGE PROCESSING
      • 7.3.2.1 NLP to enhance customer service with AI chatbots and sentiment analysis for personalized, real-time engagement
    • 7.3.3 COMPUTER VISION
      • 7.3.3.1 Computer vision to revolutionize retail with smart checkouts, visual search, and in-store analytics to boost efficiency
    • 7.3.4 PREDICTIVE ANALYTICS
      • 7.3.4.1 Predictive analytics to improve demand forecasting, price optimization, and customer targeting in retail operations

8 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION

  • 8.1 INTRODUCTION
    • 8.1.1 BUSINESS FUNCTIONS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET DRIVERS
  • 8.2 MARKETING & SALES
    • 8.2.1 AI TO IMPROVE PERSONALIZED CAMPAIGNS, PRODUCT RECOMMENDATIONS, AND DYNAMIC PRICING IN RETAIL
  • 8.3 HUMAN RESOURCES
    • 8.3.1 AI TO AUTOMATE RECRUITMENT, WORKFORCE OPTIMIZATION, AND PERSONALIZED TRAINING IN RETAIL HR
  • 8.4 FINANCE & ACCOUNTING
    • 8.4.1 AI TO SYSTEMATIZE FINANCIAL PROCESSES, SUCH AS BILLING, FORECASTING, AND FRAUD DETECTION IN RETAIL
  • 8.5 OPERATIONS
    • 8.5.1 AI TO ENHANCE SUPPLY CHAIN OPTIMIZATION, INVENTORY MANAGEMENT, AND LOGISTICS IN RETAIL OPERATIONS
  • 8.6 CYBERSECURITY
    • 8.6.1 AI TO STRENGTHEN FRAUD DETECTION, DATA SECURITY, AND BIOMETRIC AUTHENTICATION IN RETAIL CYBERSECURITY

9 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY END USER

  • 9.1 INTRODUCTION
    • 9.1.1 END USERS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET DRIVERS
  • 9.2 ONLINE
    • 9.2.1 AI TO REVOLUTIONIZE ONLINE RETAIL BY IMPROVING SHOPPING EXPERIENCE THROUGH PERSONALIZATION, INVENTORY MANAGEMENT, AND REAL-TIME CUSTOMER SUPPORT
  • 9.3 OFFLINE
    • 9.3.1 ESSENTIAL SECURITY TOOLS TO MONITOR NETWORK TRAFFIC FOR THREATS
    • 9.3.2 SUPERMARKETS & HYPERMARKETS
      • 9.3.2.1 AI to improve inventory management, customer experience, and operational efficiency with smart checkout and predictive analytics
    • 9.3.3 SPECIALTY STORES
      • 9.3.3.1 AI to personalize shopping experiences and optimize inventory management in specialty stores
    • 9.3.4 CONVENIENCE STORES
      • 9.3.4.1 Smart checkout, dynamic pricing, and improved inventory management to ensure operational efficiency and quick service in convenience stores
    • 9.3.5 OTHER OFFLINE STORES

10 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION

  • 10.1 INTRODUCTION
  • 10.2 NORTH AMERICA
    • 10.2.1 NORTH AMERICA: MACROECONOMIC OUTLOOK
    • 10.2.2 US
      • 10.2.2.1 Technological advancements and strategic partnerships to propel market
    • 10.2.3 CANADA
      • 10.2.3.1 Need for predicting product demand, optimizing inventory, and enhancing personalized customer experiences to drive market
  • 10.3 EUROPE
    • 10.3.1 EUROPE: MACROECONOMIC OUTLOOK
    • 10.3.2 UK
      • 10.3.2.1 Need to enhance customer experiences, streamline operations, and optimize inventory management to accelerate market growth
    • 10.3.3 ITALY
      • 10.3.3.1 Increasing demand for enhanced customer experiences, operational efficiency, and data-driven decision-making to fuel market growth
    • 10.3.4 GERMANY
      • 10.3.4.1 Need to enhance operational efficiency, customer engagement, and government initiatives to enhance market growth
    • 10.3.5 FRANCE
      • 10.3.5.1 Integration of AI to enhance customer experiences through personalized recommendations, dynamic pricing, and improved inventory management
    • 10.3.6 SPAIN
      • 10.3.6.1 Strong emphasis on predictive analytics and focus on mitigating risks and enhancing decision-making investments in retail sector to boost market growth
    • 10.3.7 NORDIC COUNTRIES
      • 10.3.7.1 Increasing consumer expectations for personalized experiences and operational efficiency to foster market growth
    • 10.3.8 REST OF EUROPE
  • 10.4 ASIA PACIFIC
    • 10.4.1 ASIA PACIFIC: MACROECONOMIC OUTLOOK
    • 10.4.2 CHINA
      • 10.4.2.1 Strong government support for AI technology, rapid digitalization, and growing consumer demand for personalized and efficient retail experiences to fuel market growth
    • 10.4.3 JAPAN
      • 10.4.3.1 Labor shortages arising due to aging population, push for operational efficiency in retail sector, and government investments and initiatives to bolster market
    • 10.4.4 INDIA
      • 10.4.4.1 Rapid eCommerce growth, increasing smartphone penetration, and demand for personalized customer experiences to augment market growth
    • 10.4.5 AUSTRALIA & NEW ZEALAND
      • 10.4.5.1 Increasing eCommerce activity and need for enhanced customer experience to propel market
    • 10.4.6 SOUTH KOREA
      • 10.4.6.1 Advanced technological infrastructure, high internet penetration, and implementation of AI National Strategy to accelerate market
    • 10.4.7 ASEAN COUNTRIES
    • 10.4.8 REST OF ASIA PACIFIC
  • 10.5 MIDDLE EAST & AFRICA
    • 10.5.1 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
      • 10.5.1.1 UAE
        • 10.5.1.1.1 Investments and collaborations aimed at enhancing retail experiences through AI technologies to drive market
      • 10.5.1.2 KSA
        • 10.5.1.2.1 Substantial investments in AI and establishment of Vision 2030 to foster market growth
      • 10.5.1.3 Kuwait
        • 10.5.1.3.1 Rapid development of Kuwait Vision 2035 to fuel demand for AI in retail market
      • 10.5.1.4 Bahrain
        • 10.5.1.4.1 Strategic location, supportive government policies, and growing eCommerce industry to drive market
      • 10.5.1.5 South Africa
        • 10.5.1.5.1 Rise of AI and related technologies during COVID-19 to fuel market growth
      • 10.5.1.6 Rest of Middle East & Africa
  • 10.6 LATIN AMERICA
    • 10.6.1 LATIN AMERICA: MACROECONOMIC OUTLOOK
    • 10.6.2 BRAZIL
      • 10.6.2.1 Influx of foreign eCommerce platforms to boost demand for AI in retail market
    • 10.6.3 MEXICO
      • 10.6.3.1 Embracing emerging technologies with notable funding from both domestic and international investors to bolster market growth
    • 10.6.4 ARGENTINA
      • 10.6.4.1 Focus on advancing digital infrastructure to drive market
    • 10.6.5 REST OF LATIN AMERICA

11 COMPETITIVE LANDSCAPE

  • 11.1 INTRODUCTION
  • 11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
    • 11.2.1 OVERVIEW OF STRATEGIES ADOPTED BY KEY ARTIFICIAL INTELLIGENCE IN RETAIL MARKET VENDORS
  • 11.3 REVENUE ANALYSIS
  • 11.4 MARKET SHARE ANALYSIS
    • 11.4.1 MARKET RANKING ANALYSIS
  • 11.5 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
    • 11.5.1 STARS
    • 11.5.2 EMERGING LEADERS
    • 11.5.3 PERVASIVE PLAYERS
    • 11.5.4 PARTICIPANTS
    • 11.5.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
      • 11.5.5.1 Company footprint
      • 11.5.5.2 Type footprint
      • 11.5.5.3 Offering footprint
      • 11.5.5.4 Regional footprint
  • 11.6 COMPANY EVALUATION MATRIX: START-UPS/SMES, 2023
    • 11.6.1 PROGRESSIVE COMPANIES
    • 11.6.2 RESPONSIVE COMPANIES
    • 11.6.3 DYNAMIC COMPANIES
    • 11.6.4 STARTING BLOCKS
    • 11.6.5 COMPETITIVE BENCHMARKING: START-UPS/SMES, 2023
      • 11.6.5.1 Key start-ups/SMEs
      • 11.6.5.2 Competitive benchmarking of key start-ups/SMEs
  • 11.7 COMPETITIVE SCENARIOS AND TRENDS
    • 11.7.1 PRODUCT LAUNCHES & ENHANCEMENTS
    • 11.7.2 DEALS
  • 11.8 BRAND/PRODUCT COMPARISON
  • 11.9 COMPANY VALUATION AND FINANCIAL METRICS

12 COMPANY PROFILES

  • 12.1 KEY PLAYERS
    • 12.1.1 IBM
      • 12.1.1.1 Business overview
      • 12.1.1.2 Products/Solutions/Services offered
      • 12.1.1.3 Recent developments
        • 12.1.1.3.1 Product enhancements
        • 12.1.1.3.2 Deals
      • 12.1.1.4 MnM view
        • 12.1.1.4.1 Right to win
        • 12.1.1.4.2 Strategic choices
        • 12.1.1.4.3 Weaknesses and competitive threats
    • 12.1.2 AMAZON
      • 12.1.2.1 Business overview
      • 12.1.2.2 Products/Solutions/Services offered
        • 12.1.2.2.1 Deals
        • 12.1.2.2.2 Other deals/developments
      • 12.1.2.3 MnM view
        • 12.1.2.3.1 Right to win
        • 12.1.2.3.2 Strategic choices
        • 12.1.2.3.3 Weaknesses and competitive threats
    • 12.1.3 SALESFORCE, INC.
      • 12.1.3.1 Business overview
      • 12.1.3.2 Products/Solutions/Services offered
      • 12.1.3.3 Recent developments
        • 12.1.3.3.1 Product launches and enhancements
        • 12.1.3.3.2 Deals
    • 12.1.4 ORACLE
      • 12.1.4.1 Business overview
      • 12.1.4.2 Products/Solutions/Services offered
      • 12.1.4.3 Recent developments
        • 12.1.4.3.1 Deals
    • 12.1.5 MICROSOFT
      • 12.1.5.1 Business overview
      • 12.1.5.2 Products/Solutions/Services offered
      • 12.1.5.3 Recent developments
        • 12.1.5.3.1 Deals
      • 12.1.5.4 MnM view
        • 12.1.5.4.1 Right to win
        • 12.1.5.4.2 Strategic choices
        • 12.1.5.4.3 Weaknesses and competitive threats
    • 12.1.6 GOOGLE
      • 12.1.6.1 Business overview
      • 12.1.6.2 Products/Solutions/Services offered
      • 12.1.6.3 Recent developments
        • 12.1.6.3.1 Product enhancements
        • 12.1.6.3.2 Deals
      • 12.1.6.4 MnM view
        • 12.1.6.4.1 Right to win
        • 12.1.6.4.2 Strategic choices
        • 12.1.6.4.3 Weaknesses and competitive threats
    • 12.1.7 NVIDIA
      • 12.1.7.1 Business overview
      • 12.1.7.2 Products/Solutions/Services offered
      • 12.1.7.3 Recent developments
        • 12.1.7.3.1 Product enhancements
        • 12.1.7.3.2 Deals
      • 12.1.7.4 MnM view
        • 12.1.7.4.1 Right to win
        • 12.1.7.4.2 Strategic choices
        • 12.1.7.4.3 Weaknesses and competitive threats
    • 12.1.8 ACCENTURE
      • 12.1.8.1 Business overview
      • 12.1.8.2 Products/Solutions/Services offered
      • 12.1.8.3 Recent developments
        • 12.1.8.3.1 Deals
    • 12.1.9 SAP SE
      • 12.1.9.1 Business overview
      • 12.1.9.2 Products/Solutions/Services offered
      • 12.1.9.3 Recent developments
        • 12.1.9.3.1 Deals
    • 12.1.10 SERVICENOW
      • 12.1.10.1 Business overview
      • 12.1.10.2 Products/Solutions/Services offered
      • 12.1.10.3 Recent developments
        • 12.1.10.3.1 Product enhancements
        • 12.1.10.3.2 Deals
    • 12.1.11 INFOSYS
      • 12.1.11.1 Business overview
      • 12.1.11.2 Products/Solutions/Services offered
      • 12.1.11.3 Recent developments
        • 12.1.11.3.1 Deals
    • 12.1.12 INTEL CORPORATION
      • 12.1.12.1 Business overview
      • 12.1.12.2 Products/Solutions/Services offered
      • 12.1.12.3 Recent developments
        • 12.1.12.3.1 Product launches
        • 12.1.12.3.2 Deals
    • 12.1.13 AMD
      • 12.1.13.1 Business overview
      • 12.1.13.2 Products/Solutions/Services offered
      • 12.1.13.3 Recent developments
        • 12.1.13.3.1 Product enhancements
        • 12.1.13.3.2 Deals
    • 12.1.14 HUAWEI
      • 12.1.14.1 Business overview
      • 12.1.14.2 Products/Solutions/Services offered
      • 12.1.14.3 Recent developments
        • 12.1.14.3.1 Product launches
    • 12.1.15 ALIBABA
    • 12.1.16 FUJITSU
    • 12.1.17 CAPGEMINI
    • 12.1.18 TCS
    • 12.1.19 TALKDESK
    • 12.1.20 SYMPHONY AI
    • 12.1.21 BLOOMREACH
    • 12.1.22 C3.AI
  • 12.2 START-UPS/SMES
    • 12.2.1 VISENZE
    • 12.2.2 PATHR.AI
    • 12.2.3 VUE.AI
    • 12.2.4 NEXTAIL
    • 12.2.5 DAISY INTELLIGENCE
    • 12.2.6 CRESTA
    • 12.2.7 MASON
    • 12.2.8 SYTE
    • 12.2.9 TRAX RETAIL
    • 12.2.10 FEEDZAI
    • 12.2.11 SHOPIC
    • 12.2.12 ITREX
    • 12.2.13 H2O.AI
    • 12.2.14 RETAILMETRIX

13 ADJACENT/RELATED MARKETS

  • 13.1 INTRODUCTION
  • 13.2 ARTIFICIAL INTELLIGENCE MARKET - GLOBAL FORECAST TO 2030
    • 13.2.1 MARKET DEFINITION
    • 13.2.2 MARKET OVERVIEW
      • 13.2.2.1 Artificial intelligence market, by offering
      • 13.2.2.2 Artificial intelligence market, by technology
      • 13.2.2.3 Artificial intelligence market, by business function
      • 13.2.2.4 Artificial intelligence market, by vertical
      • 13.2.2.5 Artificial intelligence market, by region
  • 13.3 RETAIL ANALYTICS MARKET - GLOBAL FORECAST TO 2029
    • 13.3.1 MARKET DEFINITION
    • 13.3.2 MARKET OVERVIEW
      • 13.3.2.1 Retail analytics market, by offering
      • 13.3.2.2 Retail analytics market, by business function
      • 13.3.2.3 Retail analytics market, by application
      • 13.3.2.4 Retail analytics market, by end user
      • 13.3.2.5 Retail analytics market, by region

14 APPENDIX

  • 14.1 DISCUSSION GUIDE
  • 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 14.3 CUSTOMIZATION OPTIONS
  • 14.4 RELATED REPORTS
  • 14.5 AUTHOR DETAILS

List of Tables

  • TABLE 1 USD EXCHANGE RATES, 2021-2023
  • TABLE 2 PRIMARY INTERVIEWS WITH EXPERTS
  • TABLE 3 RESEARCH ASSUMPTIONS
  • TABLE 4 FACTOR ANALYSIS
  • TABLE 5 AVERAGE SELLING PRICE OF ARTIFICIAL INTELLIGENCE IN RETAIL SOLUTIONS
  • TABLE 6 INDICATIVE PRICING ANALYSIS OF ARTIFICIAL INTELLIGENCE IN RETAIL
  • TABLE 7 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: ECOSYSTEM
  • TABLE 8 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: DETAILED LIST OF CONFERENCES AND EVENTS, 2024-2026
  • TABLE 9 TARIFF RELATED TO PROCESSORS AND CONTROLLERS (HSN: 854231), 2023
  • TABLE 10 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 11 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 12 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 13 REST OF THE WORLD: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 14 IMPACT OF EACH FORCE ON ARTIFICIAL INTELLIGENCE IN RETAIL MARKET
  • TABLE 15 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE SOLUTIONS
  • TABLE 16 KEY BUYING CRITERIA FOR TOP THREE SOLUTIONS
  • TABLE 17 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 18 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 19 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
  • TABLE 20 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
  • TABLE 21 SOLUTIONS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 22 SOLUTIONS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 23 PERSONALIZED PRODUCT RECOMMENDATIONS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 24 PERSONALIZED PRODUCT RECOMMENDATIONS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 25 CUSTOMER RELATIONSHIP MANAGEMENT: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 26 CUSTOMER RELATIONSHIP MANAGEMENT: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 27 VISUAL SEARCH: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 28 VISUAL SEARCH: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 29 VIRTUAL CUSTOMER ASSISTANT: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 30 VIRTUAL CUSTOMER ASSISTANT: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 31 PRICE OPTIMIZATION: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 32 PRICE OPTIMIZATION: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 33 SUPPLY CHAIN MANAGEMENT & DEMAND PLANNING: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 34 SUPPLY CHAIN MANAGEMENT & DEMAND PLANNING: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 35 VIRTUAL STORES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 36 VIRTUAL STORES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 37 SMART CHECKOUT: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 38 SMART CHECKOUT: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 39 OTHER SOLUTIONS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 40 OTHER SOLUTIONS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 41 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 42 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE, 2024-2030 (USD MILLION)
  • TABLE 43 SERVICES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 44 SERVICES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 45 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
  • TABLE 46 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
  • TABLE 47 PROFESSIONAL SERVICES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 48 PROFESSIONAL SERVICES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 49 MANAGED SERVICES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 50 MANAGED SERVICES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 51 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 52 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 53 GENERATIVE AI: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 54 GENERATIVE AI: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 55 OTHER AI: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 56 OTHER AI: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 57 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2019-2023 (USD MILLION)
  • TABLE 58 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2024-2030 (USD MILLION)
  • TABLE 59 MARKETING & SALES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 60 MARKETING & SALES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 61 HUMAN RESOURCES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 62 HUMAN RESOURCES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 63 FINANCE & ACCOUNTING: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 64 FINANCE & ACCOUNTING: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 65 OPERATIONS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 66 OPERATIONS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 67 CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 68 CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 69 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 70 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 71 ONLINE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 72 ONLINE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 73 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE, 2019-2023 (USD MILLION)
  • TABLE 74 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE, 2024-2030 (USD MILLION)
  • TABLE 75 OFFLINE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 76 OFFLINE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 77 SUPERMARKETS & HYPERMARKETS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 78 SUPERMARKETS & HYPERMARKETS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 79 SPECIALTY STORES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 80 SPECIALTY STORES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 81 CONVENIENCE STORES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 82 CONVENIENCE STORES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 83 OTHER OFFLINE STORES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 84 OTHER OFFLINE STORES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 85 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 86 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 87 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 88 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 89 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
  • TABLE 90 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
  • TABLE 91 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 92 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE, 2024-2030 (USD MILLION)
  • TABLE 93 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
  • TABLE 94 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
  • TABLE 95 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 96 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 97 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2019-2023 (USD MILLION)
  • TABLE 98 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2024-2030 (USD MILLION)
  • TABLE 99 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE, 2019-2023 (USD MILLION)
  • TABLE 100 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE, 2024-2030 (USD MILLION)
  • TABLE 101 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE, 2019-2023 (USD MILLION)
  • TABLE 102 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE, 2024-2030 (USD MILLION)
  • TABLE 103 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 104 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
  • TABLE 105 US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 106 US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 107 US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
  • TABLE 108 US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
  • TABLE 109 US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 110 US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE, 2024-2030 (USD MILLION)
  • TABLE 111 US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
  • TABLE 112 US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
  • TABLE 113 US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 114 US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 115 US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2019-2023 (USD MILLION)
  • TABLE 116 US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2024-2030 (USD MILLION)
  • TABLE 117 US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE, 2019-2023 (USD MILLION)
  • TABLE 118 US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE, 2024-2030 (USD MILLION)
  • TABLE 119 US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE, 2019-2023 (USD MILLION)
  • TABLE 120 US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE, 2024-2030 (USD MILLION)
  • TABLE 121 EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 122 EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 123 EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
  • TABLE 124 EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
  • TABLE 125 EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 126 EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE, 2024-2030 (USD MILLION)
  • TABLE 127 EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
  • TABLE 128 EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
  • TABLE 129 EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 130 EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 131 EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2019-2023 (USD MILLION)
  • TABLE 132 EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2024-2030 (USD MILLION)
  • TABLE 133 EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE, 2019-2023 (USD MILLION)
  • TABLE 134 EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE, 2024-2030 (USD MILLION)
  • TABLE 135 EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE, 2019-2023 (USD MILLION)
  • TABLE 136 EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE, 2024-2030 (USD MILLION)
  • TABLE 137 EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY COUNTRY/SUBREGION, 2019-2023 (USD MILLION)
  • TABLE 138 EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY COUNTRY/SUBREGION, 2024-2030 (USD MILLION)
  • TABLE 139 UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 140 UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 141 UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
  • TABLE 142 UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
  • TABLE 143 UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 144 UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE, 2024-2030 (USD MILLION)
  • TABLE 145 UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
  • TABLE 146 UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
  • TABLE 147 UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 148 UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 149 UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2019-2023 (USD MILLION)
  • TABLE 150 UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2024-2030 (USD MILLION)
  • TABLE 151 UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE, 2019-2023 (USD MILLION)
  • TABLE 152 UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE, 2024-2030 (USD MILLION)
  • TABLE 153 UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE, 2019-2023 (USD MILLION)
  • TABLE 154 UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE, 2024-2030 (USD MILLION)
  • TABLE 155 ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 156 ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 157 ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
  • TABLE 158 ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
  • TABLE 159 ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 160 ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE, 2024-2030 (USD MILLION)
  • TABLE 161 ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
  • TABLE 162 ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
  • TABLE 163 ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 164 ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 165 ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2019-2023 (USD MILLION)
  • TABLE 166 ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2024-2030 (USD MILLION)
  • TABLE 167 ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE, 2019-2023 (USD MILLION)
  • TABLE 168 ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE, 2024-2030 (USD MILLION)
  • TABLE 169 ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE, 2019-2023 (USD MILLION)
  • TABLE 170 ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE, 2024-2030 (USD MILLION)
  • TABLE 171 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 172 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 173 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
  • TABLE 174 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
  • TABLE 175 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 176 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE, 2024-2030 (USD MILLION)
  • TABLE 177 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
  • TABLE 178 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
  • TABLE 179 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 180 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 181 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2019-2023 (USD MILLION)
  • TABLE 182 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2024-2030 (USD MILLION)
  • TABLE 183 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE, 2019-2023 (USD MILLION)
  • TABLE 184 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE, 2024-2030 (USD MILLION)
  • TABLE 185 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE, 2019-2023 (USD MILLION)
  • TABLE 186 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE, 2024-2030 (USD MILLION)
  • TABLE 187 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY COUNTRY/SUBREGION, 2019-2023 (USD MILLION)
  • TABLE 188 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY COUNTRY/SUBREGION, 2024-2030 (USD MILLION)
  • TABLE 189 CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 190 CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 191 CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
  • TABLE 192 CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
  • TABLE 193 CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 194 CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE, 2024-2030 (USD MILLION)
  • TABLE 195 CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
  • TABLE 196 CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
  • TABLE 197 CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 198 CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 199 CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2019-2023 (USD MILLION)
  • TABLE 200 CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2024-2030 (USD MILLION)
  • TABLE 201 CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE, 2019-2023 (USD MILLION)
  • TABLE 202 CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE, 2024-2030 (USD MILLION)
  • TABLE 203 CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE, 2019-2023 (USD MILLION)
  • TABLE 204 CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE, 2024-2030 (USD MILLION)
  • TABLE 205 INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 206 INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 207 INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
  • TABLE 208 INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
  • TABLE 209 INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 210 INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE, 2024-2030 (USD MILLION)
  • TABLE 211 INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
  • TABLE 212 INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
  • TABLE 213 INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 214 INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 215 INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2019-2023 (USD MILLION)
  • TABLE 216 INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2024-2030 (USD MILLION)
  • TABLE 217 INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE, 2019-2023 (USD MILLION)
  • TABLE 218 INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE, 2024-2030 (USD MILLION)
  • TABLE 219 INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE, 2019-2023 (USD MILLION)
  • TABLE 220 INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE, 2024-2030 (USD MILLION)
  • TABLE 221 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 222 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 223 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
  • TABLE 224 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
  • TABLE 225 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 226 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE, 2024-2030 (USD MILLION)
  • TABLE 227 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
  • TABLE 228 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
  • TABLE 229 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 230 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 231 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2019-2023 (USD MILLION)
  • TABLE 232 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2024-2030 (USD MILLION)
  • TABLE 233 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE, 2019-2023 (USD MILLION)
  • TABLE 234 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE, 2024-2030 (USD MILLION)
  • TABLE 235 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE, 2019-2023 (USD MILLION)
  • TABLE 236 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE, 2024-2030 (USD MILLION)
  • TABLE 237 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 238 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
  • TABLE 239 KSA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 240 KSA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 241 KSA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
  • TABLE 242 KSA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
  • TABLE 243 KSA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 244 KSA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE, 2024-2030 (USD MILLION)
  • TABLE 245 KSA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
  • TABLE 246 KSA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
  • TABLE 247 KSA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 248 KSA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 249 KSA: AI IN RETAIL MARKET, BY BUSINESS FUNCTION, 2019-2023 (USD MILLION)
  • TABLE 250 KSA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2024-2030 (USD MILLION)
  • TABLE 251 KSA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE, 2019-2023 (USD MILLION)
  • TABLE 252 KSA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE, 2024-2030 (USD MILLION)
  • TABLE 253 KSA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE, 2019-2023 (USD MILLION)
  • TABLE 254 KSA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE, 2024-2030 (USD MILLION)
  • TABLE 255 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 256 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 257 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
  • TABLE 258 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
  • TABLE 259 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 260 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE, 2024-2030 (USD MILLION)
  • TABLE 261 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
  • TABLE 262 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
  • TABLE 263 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 264 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 265 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2019-2023 (USD MILLION)
  • TABLE 266 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2024-2030 (USD MILLION)
  • TABLE 267 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE, 2019-2023 (USD MILLION)
  • TABLE 268 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE, 2024-2030 (USD MILLION)
  • TABLE 269 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE, 2019-2023 (USD MILLION)
  • TABLE 270 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE, 2024-2030 (USD MILLION)
  • TABLE 271 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 272 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
  • TABLE 273 BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 274 BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 275 BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
  • TABLE 276 BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
  • TABLE 277 BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 278 BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE, 2024-2030 (USD MILLION)
  • TABLE 279 BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
  • TABLE 280 BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
  • TABLE 281 BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 282 BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 283 BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2019-2023 (USD MILLION)
  • TABLE 284 BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2024-2030 (USD MILLION)
  • TABLE 285 BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE, 2019-2023 (USD MILLION)
  • TABLE 286 BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE, 2024-2030 (USD MILLION)
  • TABLE 287 BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE, 2019-2023 (USD MILLION)
  • TABLE 288 BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE, 2024-2030 (USD MILLION)
  • TABLE 289 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: DEGREE OF COMPETITION
  • TABLE 290 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: TYPE FOOTPRINT
  • TABLE 291 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: OFFERING FOOTPRINT
  • TABLE 292 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: REGIONAL FOOTPRINT
  • TABLE 293 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: DETAILED LIST OF KEY START-UPS/SMES
  • TABLE 294 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: COMPETITIVE BENCHMARKING OF KEY START-UPS/SMES
  • TABLE 295 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: PRODUCT LAUNCHES & ENHANCEMENTS, JUNE 2022-OCTOBER 2024
  • TABLE 296 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: DEALS, JUNE 2022-OCTOBER 2024
  • TABLE 297 IBM: COMPANY OVERVIEW
  • TABLE 298 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 299 IBM: PRODUCT ENHANCEMENTS
  • TABLE 300 IBM: DEALS
  • TABLE 301 AMAZON: COMPANY OVERVIEW
  • TABLE 302 AMAZON: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 303 AMAZON: DEALS
  • TABLE 304 AMAZON: OTHER DEALS/DEVELOPMENTS
  • TABLE 305 SALESFORCE: COMPANY OVERVIEW
  • TABLE 306 SALESFORCE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 307 SALESFORCE: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 308 SALESFORCE: DEALS
  • TABLE 309 ORACLE: COMPANY OVERVIEW
  • TABLE 310 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 311 ORACLE: DEALS
  • TABLE 312 MICROSOFT: COMPANY OVERVIEW
  • TABLE 313 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 314 MICROSOFT: PRODUCT ENHANCEMENTS
  • TABLE 315 MICROSOFT: DEALS
  • TABLE 316 GOOGLE: COMPANY OVERVIEW
  • TABLE 317 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 318 GOOGLE: PRODUCT LAUNCHES
  • TABLE 319 GOOGLE: DEALS
  • TABLE 320 NVIDIA: COMPANY OVERVIEW
  • TABLE 321 NVIDIA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 322 NVIDIA: PRODUCT LAUNCHES
  • TABLE 323 NVIDIA: DEALS
  • TABLE 324 ACCENTURE: COMPANY OVERVIEW
  • TABLE 325 ACCENTURE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 326 ACCENTURE: DEALS
  • TABLE 327 SAP SE: COMPANY OVERVIEW
  • TABLE 328 SAP SE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 329 SAP SE: DEALS
  • TABLE 330 SERVICENOW: COMPANY OVERVIEW
  • TABLE 331 SERVICENOW: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 332 SERVICENOW: PRODUCT ENHANCEMENTS
  • TABLE 333 SERVICENOW: DEALS
  • TABLE 334 INFOSYS: COMPANY OVERVIEW
  • TABLE 335 INFOSYS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 336 INFOSYS: DEALS
  • TABLE 337 INTEL: COMPANY OVERVIEW
  • TABLE 338 INTEL: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 339 INTEL: PRODUCT LAUNCHES
  • TABLE 340 INTEL: DEALS
  • TABLE 341 AMD: COMPANY OVERVIEW
  • TABLE 342 AMD: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 343 AMD: PRODUCT ENHANCEMENTS
  • TABLE 344 AMD: DEALS
  • TABLE 345 HUAWEI: COMPANY OVERVIEW
  • TABLE 346 HUAWEI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 347 HUAWEI: PRODUCT LAUNCHES
  • TABLE 348 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019-2023 (USD BILLION)
  • TABLE 349 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024-2030 (USD BILLION)
  • TABLE 350 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2019-2023 (USD BILLION)
  • TABLE 351 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2024-2030 (USD BILLION)
  • TABLE 352 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2019-2023 (USD BILLION)
  • TABLE 353 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2024-2030 (USD BILLION)
  • TABLE 354 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2019-2023 (USD BILLION)
  • TABLE 355 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2024-2030 (USD BILLION)
  • TABLE 356 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019-2023 (USD BILLION)
  • TABLE 357 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024-2030 (USD BILLION)
  • TABLE 358 RETAIL ANALYTICS MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 359 RETAIL ANALYTICS MARKET, BY OFFERING, 2024-2029 (USD MILLION)
  • TABLE 360 RETAIL ANALYTICS MARKET, BY BUSINESS FUNCTION, 2019-2023 (USD MILLION)
  • TABLE 361 RETAIL ANALYTICS MARKET, BY BUSINESS FUNCTION, 2024-2029 (USD MILLION)
  • TABLE 362 RETAIL ANALYTICS MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
  • TABLE 363 RETAIL ANALYTICS MARKET, BY APPLICATION, 2024-2029 (USD MILLION)
  • TABLE 364 RETAIL ANALYTICS END-USER MARKET, BY PRODUCT TYPE, 2019-2023 (USD MILLION)
  • TABLE 365 RETAIL ANALYTICS END-USER MARKET, BY PRODUCT TYPE, 2024-2029 (USD MILLION)
  • TABLE 366 RETAIL ANALYTICS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 367 RETAIL ANALYTICS MARKET, BY REGION, 2024-2029 (USD MILLION)

List of Figures

  • FIGURE 1 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: RESEARCH DESIGN
  • FIGURE 2 BREAKUP OF PRIMARY INTERVIEWS: BY COMPANY TYPE, DESIGNATION, AND REGION
  • FIGURE 3 TOP-DOWN APPROACH
  • FIGURE 4 APPROACH 1 (SUPPLY SIDE): REVENUE OF VENDORS IN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET
  • FIGURE 5 BOTTOM-UP APPROACH
  • FIGURE 6 DEMAND-SIDE ANALYSIS
  • FIGURE 7 BOTTOM-UP (SUPPLY SIDE) ANALYSIS: COLLECTIVE REVENUE FROM SOLUTIONS/SERVICES OF ARTIFICIAL INTELLIGENCE IN RETAIL MARKET
  • FIGURE 8 DATA TRIANGULATION
  • FIGURE 9 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, 2022-2030 (USD MILLION)
  • FIGURE 10 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: REGIONAL SNAPSHOT
  • FIGURE 11 GROWING DEMAND FOR ENHANCING PERSONALIZED EXPERIENCES, OPTIMIZING INVENTORY MANAGEMENT, AND DYNAMIC PRICING TO DRIVE MARKET
  • FIGURE 12 SOLUTIONS SEGMENT TO ACCOUNT FOR LARGER MARKET SHARE IN 2024
  • FIGURE 13 MANAGED SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 14 MARKETING & SALES SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024
  • FIGURE 15 GENERATIVE AI SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 16 PERSONALIZED PRODUCT RECOMMENDATIONS SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024
  • FIGURE 17 ONLINE SEGMENT TO ACCOUNT FOR LARGER MARKET SHARE IN 2024
  • FIGURE 18 PERSONALIZED PRODUCT RECOMMENDATIONS AND PROFESSIONAL SERVICES SEGMENTS TO ACCOUNT FOR SIGNIFICANT MARKET SHARES IN 2024
  • FIGURE 19 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 20 CONSUMER LIKELIHOOD OF USING CONVERSATIONAL AI FOR ADVICE AND RECOMMENDATIONS
  • FIGURE 21 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • FIGURE 22 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY SOLUTION
  • FIGURE 23 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: SUPPLY CHAIN ANALYSIS
  • FIGURE 24 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: ECOSYSTEM
  • FIGURE 25 LIST OF MAJOR PATENTS FOR ARTIFICIAL INTELLIGENCE IN RETAIL
  • FIGURE 26 PROCESSORS AND CONTROLLERS EXPORT, BY KEY COUNTRY, 2016-2023 (USD BILLION)
  • FIGURE 27 PROCESSORS AND CONTROLLERS IMPORT, BY KEY COUNTRY, 2016-2023 (USD BILLION)
  • FIGURE 28 PORTER'S FIVE FORCES IMPACT ON ARTIFICIAL INTELLIGENCE IN RETAIL MARKET
  • FIGURE 29 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE SOLUTIONS
  • FIGURE 30 KEY BUYING CRITERIA FOR TOP THREE SOLUTIONS
  • FIGURE 31 EVOLUTION OF ARTIFICIAL INTELLIGENCE IN RETAIL
  • FIGURE 32 SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 33 VISUAL SEARCH SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 34 MANAGED SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 35 GENERATIVE AI SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 36 CYBERSECURITY SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 37 OFFLINE SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 38 NORTH AMERICA: MARKET SNAPSHOT
  • FIGURE 39 MIDDLE EAST & AFRICA: MARKET SNAPSHOT
  • FIGURE 40 REVENUE ANALYSIS FOR KEY COMPANIES IN PAST THREE YEARS
  • FIGURE 41 SHARE OF LEADING COMPANIES IN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, 2023
  • FIGURE 42 MARKET RANKING ANALYSIS OF TOP FIVE PLAYERS
  • FIGURE 43 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2023
  • FIGURE 44 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: COMPANY FOOTPRINT
  • FIGURE 45 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: COMPANY EVALUATION MATRIX (START-UPS/SMES), 2023
  • FIGURE 46 BRAND/PRODUCT COMPARISON
  • FIGURE 47 FINANCIAL METRICS OF KEY ARTIFICIAL INTELLIGENCE IN RETAIL MARKET VENDORS
  • FIGURE 48 COMPANY VALUATION OF KEY ARTIFICIAL INTELLIGENCE IN RETAIL MARKET VENDORS
  • FIGURE 49 IBM: COMPANY SNAPSHOT
  • FIGURE 50 AMAZON: COMPANY SNAPSHOT
  • FIGURE 51 SALESFORCE: COMPANY SNAPSHOT
  • FIGURE 52 ORACLE: COMPANY SNAPSHOT
  • FIGURE 53 MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 54 GOOGLE: COMPANY SNAPSHOT
  • FIGURE 55 NVIDIA: COMPANY SNAPSHOT
  • FIGURE 56 ACCENTURE: COMPANY SNAPSHOT
  • FIGURE 57 SAP SE: COMPANY SNAPSHOT
  • FIGURE 58 SERVICENOW: COMPANY SNAPSHOT
  • FIGURE 59 INFOSYS: COMPANY SNAPSHOT
  • FIGURE 60 INTEL: COMPANY SNAPSHOT
  • FIGURE 61 AMD: COMPANY SNAPSHOT