小売業向け人工知能（AI）市場 – 2030年までの世界予測

Report Overview

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.

小売業向け人工知能（AI）市場は、2024 年から 2030 年までの CAGR 32.0% で、2024 年に 311 億 2000 万米ドルから 2030 年には 1,647 億 4000 万米ドルになると推定されています。

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.

小売業における AI 導入の主な推進要因の 1 つは、パーソナライズされたショッピング エクスペリエンスに対する消費者の需要の高まりです。機械学習や自然言語処理などの AI テクノロジーにより、小売業者は大量の消費者データを分析して好みや行動パターンを理解できるようになります。このデータに基づいた洞察により、小売業者はパーソナライズされた推奨事項、ターゲットを絞ったプロモーション、およびオーダーメイドのマーケティング戦略を提供できるようになります。小売市場におけるハイパーパーソナライゼーションにより、顧客エンゲージメントと満足度の向上を目指す企業にとって、AI ソリューションは不可欠なものになりつつあります。

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

Al 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. Al revolutionizes marketing by enabling hyper-personalized campaigns and product recommendations; companies such as Amazon and eBay use Al to analyze customer data and preferences, helping them deliver personalized ads, product suggestions, and promotions. Another application of Al is dynamic pricing, where the prices can change as frequently as in real life depending on the demand, competition, and customers’ behavior. Al also assists in managing customer loyalty programs by targeting relevant customers with targeted messages. Generative Al is used to automate content creation for marketing, including emails and advertisements. Some key players at the forefront of using Al 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 Al 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. Al-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              35

1.1           STUDY OBJECTIVES       35

1.2           MARKET DEFINITION   35

1.3           STUDY SCOPE   36

1.3.1        MARKET SEGMENTATION           36

1.3.2        INCLUSIONS AND EXCLUSIONS 37

1.4           YEARS CONSIDERED      37

1.5           CURRENCY CONSIDERED            38

1.6           STAKEHOLDERS               38

2               RESEARCH METHODOLOGY       39

2.1           RESEARCH DATA              39

2.1.1        SECONDARY DATA          40

2.1.1.1    Key data from secondary sources       40

2.1.2        PRIMARY DATA 40

2.1.2.1    Breakup of primary interviews            41

2.1.2.2    Primary interviews with experts         41

2.1.2.3    Key insights from industry experts    41

2.2           MARKET SIZE ESTIMATION METHODOLOGY     42

2.2.1        TOP-DOWN APPROACH                42

2.2.1.1    Supply-side analysis             42

2.2.2        BOTTOM-UP APPROACH              43

2.2.2.1    Demand-side analysis          43

2.3           DATA TRIANGULATION                45

2.4           RESEARCH ASSUMPTIONS           46

2.5           RESEARCH LIMITATIONS             47

2.6           RISK ASSESSMENT           47

3               EXECUTIVE SUMMARY  48

4               PREMIUM INSIGHTS       50

4.1           ATTRACTIVE OPPORTUNITIES FOR KEY PLAYERS IN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET                 50

4.2           ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING           50

4.3           ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE               51

4.4           ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION    51

4.5           ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE     51

4.6           ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION          52

4.7           ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY END USER     52

4.8           NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, TOP THREE SOLUTIONS AND SERVICES                 53

5               MARKET OVERVIEW AND INDUSTRY TRENDS    54

5.1           INTRODUCTION              54

5.2           MARKET DYNAMICS       54

5.2.1        DRIVERS               55

5.2.1.1    Increasing adoption of conversational AI in retail for advice and recommendations 55

5.2.1.2    Evolving consumer expectations and social media integration                 55

5.2.1.3    Enhancing checkout experiences with AI-powered automation                 56

5.2.1.4    Data-driven decision-making             56

5.2.2        RESTRAINTS      56

5.2.2.1    High implementation costs 56

5.2.2.2    Data privacy and security    57

5.2.3        OPPORTUNITIES              57

5.2.3.1    AI-powered customer engagement    57

5.2.3.2    Enhanced decision-making with predictive analytics     57

5.2.3.3    AI in supply chain optimization         57

5.2.4        CHALLENGES    58

5.2.4.1    Rising theft and fraud issues               58

5.2.4.2    Complexity in integrating with legacy systems                58

5.2.4.3    Ethical concerns in AI          58

5.3           TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS            59

5.4           PRICING ANALYSIS          59

5.4.1        AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY SOLUTION          59

5.4.2        INDICATIVE PRICING ANALYSIS OF ARTIFICIAL INTELLIGENCE IN RETAIL KEY PLAYERS               61

5.5           SUPPLY CHAIN ANALYSIS             62

5.6           ECOSYSTEM       63

5.7           TECHNOLOGY ANALYSIS             65

5.7.1        KEY TECHNOLOGIES     65

5.7.1.1    Conversational AI 65

5.7.1.2    Autonomous AI & autonomous agent                65

5.7.1.3    AutoML 66

5.7.2        COMPLEMENTARY TECHNOLOGIES       66

5.7.2.1    Edge computing   66

5.7.2.2    Big data analytics 66

5.7.2.3    Cloud computing  66

5.7.3        ADJACENT TECHNOLOGIES       66

5.7.3.1    Blockchain             66

5.7.3.2    Cybersecurity solutions       67

5.8           PATENT ANALYSIS          67

5.8.1        LIST OF MAJOR PATENTS             68

5.9           TRADE ANALYSIS             69

5.9.1        EXPORT SCENARIO OF PROCESSORS AND CONTROLLERS 69

5.9.2        IMPORT SCENARIO OF PROCESSORS AND CONTROLLERS 71

5.10         KEY CONFERENCES AND EVENTS, 2024–2026        72

5.11         TARIFF AND REGULATORY LANDSCAPE               73

5.11.1      TARIFF DATA (HSN: 854231) – PROCESSORS AND CONTROLLERS 73

5.11.2      REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS             75

5.11.3      KEY REGULATIONS         79

5.11.3.1  North America      79

5.11.3.1.1                SCR 17: Artificial Intelligence Bill (California)                 79

5.11.3.1.2                S1103: Artificial Intelligence Automated Decision Bill (Connecticut)        79

5.11.3.1.3                National Artificial Intelligence Initiative Act (NAIIA)                 79

5.11.3.1.4                The Artificial Intelligence and Data Act (AIDA) – Canada   79

5.11.3.2  Europe   80

5.11.3.2.1                The European Union (EU) – Artificial Intelligence Act (AIA)      80

5.11.3.2.2                General Data Protection Regulation (Europe)                 80

5.11.3.3  Asia Pacific            81

5.11.3.3.1                Interim Administrative Measures for Generative Artificial Intelligence Services (China)             81

5.11.3.3.2                The National AI Strategy (Singapore)               82

5.11.3.3.3                The Hiroshima AI Process Comprehensive Policy Framework (Japan)              82

5.11.3.4  Middle East & Africa            83

5.11.3.4.1                The National Strategy for Artificial Intelligence (UAE)                 83

5.11.3.4.2                The National Artificial Intelligence Strategy (Qatar)                 83

5.11.3.4.3                The AI Ethics Principles and Guidelines (Dubai)                 83

5.11.3.5  Latin America       84

5.11.3.5.1                The Santiago Declaration (Chile)     84

5.11.3.5.2                The Brazilian Artificial Intelligence Strategy (EBIA)                 84

5.12         PORTER’S FIVE FORCES’ ANALYSIS          85

5.12.1      THREAT OF NEW ENTRANTS      86

5.12.2      THREAT OF SUBSTITUTES          86

5.12.3      BARGAINING POWER OF BUYERS             86

5.12.4      BARGAINING POWER OF SUPPLIERS       86

5.12.5      INTENSITY OF COMPETITIVE RIVALRY 86

5.13         KEY STAKEHOLDERS AND BUYING CRITERIA     87

5.13.1      KEY STAKEHOLDERS IN BUYING PROCESS           87

5.13.2      BUYING CRITERIA           88

5.14         EVOLUTION OF ARTIFICIAL INTELLIGENCE IN RETAIL                 89

5.15         CASE STUDY ANALYSIS 90

5.15.1      TARGET LEVERAGED GOOGLE CLOUD TO ENHANCE CUSTOMER EXPERIENCES AND ACHIEVE SIGNIFICANT REVENUE GROWTH        90

5.15.2      PRADA GROUP IMPROVED CUSTOMER EXPERIENCE USING ORACLE’S CLOUD SOLUTIONS FOR PERSONALIZED RETAIL STRATEGIES      91

5.15.3      PEPE JEANS INDIA AUGMENTED ONLINE SHOPPING WITH SALESFORCE BY FOCUSING ON DIRECT CONSUMER ENGAGEMENT AND PERSONALIZATION               91

5.15.4      WALMART ENHANCED DIGITAL SHOPPING WITH MICROSOFT’S GENERATIVE AI FOR PERSONALIZED SEARCH AND IMPROVED CX         92

5.15.5      AI-POWERED CHECKOUT-FREE SHOPPING SOLUTION TRANSFORMED RETAIL OPERATIONS OF ITREX GROUP                 92

5.15.6      SNITCH LEVERAGED VISENZE TO OFFER PERSONALIZED SHOPPING EXPERIENCE              93

5.15.7      MYNTRA LEVERAGED VISENZE’S DISCOVERY SUITE TO POWER ITS ‘VIEW SIMILAR’ CAROUSEL  93

5.15.8      MACY’S AI-DRIVEN SHOPPING ASSISTANT HIGHLIGHTED INCREASING IMPORTANCE OF MOBILE IN IN-STORE SHOPPING EXPERIENCE 94

5.15.9      MARKS & SPENCER ACHIEVED 185% ROAS INCREASE WITH MICROSOFT PERFORMANCE MAX                95

5.15.10   WEIS MARKETS PARTNERED WITH SYMPHONYAI CINDE FOR ADVANCED AI-POWERED CUSTOMER ANALYTICS TO ENHANCE CATEGORY MANAGEMENT   95

6               ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING           96

6.1           INTRODUCTION              97

6.1.1        OFFERINGS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET DRIVERS            97

6.2           SOLUTIONS        98

6.2.1        PERSONALIZED PRODUCT RECOMMENDATIONS                 100

6.2.1.1    AI to help tailor product suggestions based on customer behavior and drive engagement and sales in retail          100

6.2.2        CUSTOMER RELATIONSHIP MANAGEMENT        101

6.2.2.1    AI-driven CRM to automate personalized marketing and customer segmentation and churn prevention strategies               101

6.2.3        VISUAL SEARCH                102

6.2.3.1    Visual search to enable customers find products using images and enhance discovery and shopping experiences  102

6.2.4        VIRTUAL CUSTOMER ASSISTANT             103

6.2.4.1    AI-powered virtual assistants to offer real-time customer support, improving response times and personalization                103

6.2.5        PRICE OPTIMIZATION  104

6.2.5.1    AI-powered price optimization to help retailers adjust prices dynamically based on competition, demand, and market conditions                 104

6.2.6        SUPPLY CHAIN MANAGEMENT & DEMAND PLANNING                 105

6.2.6.1    AI to optimize retail supply chains by predicting demand and streamlining inventory management 105

6.2.7        VIRTUAL STORES             106

6.2.7.1    AI to offer immersive shopping experiences with AR and VR technologies           106

6.2.8        SMART CHECKOUT         107

6.2.8.1    AI to eliminate wait times and enable frictionless shopping experiences            107

6.2.9        OTHER SOLUTIONS        108

6.3           SERVICES             109

6.3.1        PROFESSIONAL SERVICES            110

6.3.1.1    Professional services in AI for retail to help businesses effectively integrate advanced AI technologies into their operations              110

6.3.1.2    Training & consulting          112

6.3.1.2.1 Optimizing IT operations for improved business performance to propel market        112

6.3.1.3    System integration & deployment      112

6.3.1.3.1 System integration & deployment services to help retailers seamlessly incorporate AI solutions into their existing infrastructure                 112

6.3.1.4    Support & maintenance       113

6.3.1.4.1 Support & maintenance services in AI for retail to ensure that AI systems function optimally post-deployment   113

6.3.2        MANAGED SERVICES      113

6.3.2.1    Managed services in AI to provide continuous monitoring and management of AI systems for scalability and efficiency                113

7               ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE     115

7.1           INTRODUCTION              116

7.1.1        TYPES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET DRIVERS               116

7.2           GENERATIVE AI                117

7.3           OTHER AI            118

7.3.1        DISCRIMINATIVE MACHINE LEARNING 119

7.3.1.1    ML to optimize retail with personalized recommendations, dynamic pricing, and efficient demand forecasting         119

7.3.2        NATURAL LANGUAGE PROCESSING       119

7.3.2.1    NLP to enhance customer service with AI chatbots and sentiment analysis for personalized, real-time engagement              119

7.3.3        COMPUTER VISION        119

7.3.3.1    Computer vision to revolutionize retail with smart checkouts, visual search, and in-store analytics to boost efficiency 119

7.3.4        PREDICTIVE ANALYTICS               120

7.3.4.1    Predictive analytics to improve demand forecasting, price optimization, and customer targeting in retail operations              120

8               ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION    121

8.1           INTRODUCTION              122

8.1.1        BUSINESS FUNCTIONS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET DRIVERS            122

8.2           MARKETING & SALES     123

8.2.1        AI TO IMPROVE PERSONALIZED CAMPAIGNS, PRODUCT RECOMMENDATIONS, AND DYNAMIC PRICING IN RETAIL 123

8.3           HUMAN RESOURCES      124

8.3.1        AI TO AUTOMATE RECRUITMENT, WORKFORCE OPTIMIZATION, AND PERSONALIZED TRAINING IN RETAIL HR                 124

8.4           FINANCE & ACCOUNTING            125

8.4.1        AI TO SYSTEMATIZE FINANCIAL PROCESSES, SUCH AS BILLING, FORECASTING, AND FRAUD DETECTION IN RETAIL                 125

8.5           OPERATIONS     126

8.5.1        AI TO ENHANCE SUPPLY CHAIN OPTIMIZATION, INVENTORY MANAGEMENT, AND LOGISTICS IN RETAIL OPERATIONS     126

8.6           CYBERSECURITY              127

8.6.1        AI TO STRENGTHEN FRAUD DETECTION, DATA SECURITY, AND BIOMETRIC AUTHENTICATION IN RETAIL CYBERSECURITY              127

9               ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY END USER     129

9.1           INTRODUCTION              130

9.1.1        END USERS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET DRIVERS            130

9.2           ONLINE                131

9.2.1        AI TO REVOLUTIONIZE ONLINE RETAIL BY IMPROVING SHOPPING EXPERIENCE THROUGH PERSONALIZATION, INVENTORY MANAGEMENT, AND REAL-TIME CUSTOMER SUPPORT             131

9.3           OFFLINE              132

9.3.1        ESSENTIAL SECURITY TOOLS TO MONITOR NETWORK TRAFFIC FOR THREATS 132

9.3.2        SUPERMARKETS & HYPERMARKETS        134

9.3.2.1    AI to improve inventory management, customer experience, and operational efficiency with smart checkout and predictive analytics                 134

9.3.3        SPECIALTY STORES        135

9.3.3.1    AI to personalize shopping experiences and optimize inventory management in specialty stores          135

9.3.4        CONVENIENCE STORES                 136

9.3.4.1    Smart checkout, dynamic pricing, and improved inventory management to ensure operational efficiency and quick service in convenience stores                136

9.3.5        OTHER OFFLINE STORES             137

10            ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION                138

10.1         INTRODUCTION              139

10.2         NORTH AMERICA             140

10.2.1      NORTH AMERICA: MACROECONOMIC OUTLOOK                 140

10.2.2      US           146

10.2.2.1  Technological advancements and strategic partnerships to propel market    146

10.2.3      CANADA               151

10.2.3.1  Need for predicting product demand, optimizing inventory, and enhancing personalized customer experiences to drive market    151

10.3         EUROPE               151

10.3.1      EUROPE: MACROECONOMIC OUTLOOK               151

10.3.2      UK          157

10.3.2.1  Need to enhance customer experiences, streamline operations, and optimize inventory management to accelerate market growth                 157

10.3.3      ITALY    162

10.3.3.1  Increasing demand for enhanced customer experiences, operational efficiency, and data-driven decision-making to fuel market growth    162

10.3.4      GERMANY           167

10.3.4.1  Need to enhance operational efficiency, customer engagement, and government initiatives to enhance market growth   167

10.3.5      FRANCE                167

10.3.5.1  Integration of AI to enhance customer experiences through personalized recommendations, dynamic pricing, and improved inventory management          167

10.3.6      SPAIN    168

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       168

10.3.7      NORDIC COUNTRIES     168

10.3.7.1  Increasing consumer expectations for personalized experiences and operational efficiency to foster market growth         168

10.3.8      REST OF EUROPE             168

10.4         ASIA PACIFIC     169

10.4.1      ASIA PACIFIC: MACROECONOMIC OUTLOOK     169

10.4.2      CHINA  175

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            175

10.4.3      JAPAN   180

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                 180

10.4.4      INDIA    180

10.4.4.1  Rapid eCommerce growth, increasing smartphone penetration, and demand for personalized customer experiences to augment market growth    180

10.4.5      AUSTRALIA & NEW ZEALAND     185

10.4.5.1  Increasing eCommerce activity and need for enhanced customer experience to propel market                185

10.4.6      SOUTH KOREA  186

10.4.6.1  Advanced technological infrastructure, high internet penetration, and implementation of AI National Strategy to accelerate market                 186

10.4.7      ASEAN COUNTRIES         186

10.4.8      REST OF ASIA PACIFIC   186

10.5         MIDDLE EAST & AFRICA                187

10.5.1      MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK                 188

10.5.1.1  UAE        194

10.5.1.1.1                Investments and collaborations aimed at enhancing retail experiences through AI technologies to drive market           194

10.5.1.2  KSA        194

10.5.1.2.1                Substantial investments in AI and establishment of Vision 2030 to foster market growth 194

10.5.1.3  Kuwait    199

10.5.1.3.1                Rapid development of Kuwait Vision 2035 to fuel demand for AI in retail market           199

10.5.1.4  Bahrain  200

10.5.1.4.1                Strategic location, supportive government policies, and growing eCommerce industry to drive market 200

10.5.1.5  South Africa           200

10.5.1.5.1                Rise of AI and related technologies during COVID-19 to fuel market growth           200

10.5.1.6  Rest of Middle East & Africa               200

10.6         LATIN AMERICA                201

10.6.1      LATIN AMERICA: MACROECONOMIC OUTLOOK                 201

10.6.2      BRAZIL 206

10.6.2.1  Influx of foreign eCommerce platforms to boost demand for AI in retail market          206

10.6.3      MEXICO                211

10.6.3.1  Embracing emerging technologies with notable funding from both domestic and international investors to bolster market growth                 211

10.6.4      ARGENTINA       211

10.6.4.1  Focus on advancing digital infrastructure to drive market                 211

10.6.5      REST OF LATIN AMERICA             211

11            COMPETITIVE LANDSCAPE         212

11.1         INTRODUCTION              212

11.2         KEY PLAYER STRATEGIES/RIGHT TO WIN            212

11.2.1      OVERVIEW OF STRATEGIES ADOPTED BY KEY ARTIFICIAL INTELLIGENCE IN RETAIL MARKET VENDORS                 212

11.3         REVENUE ANALYSIS       213

11.4         MARKET SHARE ANALYSIS           214

11.4.1      MARKET RANKING ANALYSIS     215

11.5         COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023                 215

11.5.1      STARS   215

11.5.2      EMERGING LEADERS     215

11.5.3      PERVASIVE PLAYERS      215

11.5.4      PARTICIPANTS 215

11.5.5      COMPANY FOOTPRINT: KEY PLAYERS, 2023         217

11.5.5.1  Company footprint               217

11.5.5.2  Type footprint       217

11.5.5.3  Offering footprint 218

11.5.5.4  Regional footprint                 219

11.6         COMPANY EVALUATION MATRIX: START-UPS/SMES, 2023        220

11.6.1      PROGRESSIVE COMPANIES         220

11.6.2      RESPONSIVE COMPANIES            220

11.6.3      DYNAMIC COMPANIES  220

11.6.4      STARTING BLOCKS         220

11.6.5      COMPETITIVE BENCHMARKING: START-UPS/SMES, 2023        222

11.6.5.1  Key start-ups/SMEs             222

11.6.5.2  Competitive benchmarking of key start-ups/SMEs        223

11.7         COMPETITIVE SCENARIOS AND TRENDS              224

11.7.1      PRODUCT LAUNCHES & ENHANCEMENTS           224

11.7.2      DEALS  226

11.8         BRAND/PRODUCT COMPARISON             229

11.9         COMPANY VALUATION AND FINANCIAL METRICS                 230

12            COMPANY PROFILES      231

12.1         KEY PLAYERS     231

12.1.1      IBM        231

12.1.1.1  Business overview 231

12.1.1.2  Products/Solutions/Services offered 232

12.1.1.3  Recent developments           234

12.1.1.3.1                Product enhancements        234

12.1.1.3.2                Deals      234

12.1.1.4  MnM view              235

12.1.1.4.1                Right to win           235

12.1.1.4.2                Strategic choices   235

12.1.1.4.3                Weaknesses and competitive threats 235

12.1.2      AMAZON              236

12.1.2.1  Business overview 236

12.1.2.2  Products/Solutions/Services offered 237

12.1.2.2.1                Deals      238

12.1.2.2.2                Other deals/developments 239

12.1.2.3  MnM view              239

12.1.2.3.1                Right to win           239

12.1.2.3.2                Strategic choices   239

12.1.2.3.3                Weaknesses and competitive threats 239

12.1.3      SALESFORCE, INC.           240

12.1.3.1  Business overview 240

12.1.3.2  Products/Solutions/Services offered 241

12.1.3.3  Recent developments           243

12.1.3.3.1                Product launches and enhancements                 243

12.1.3.3.2                Deals      244

12.1.4      ORACLE                245

12.1.4.1  Business overview 245

12.1.4.2  Products/Solutions/Services offered 246

12.1.4.3  Recent developments           247

12.1.4.3.1                Deals      247

12.1.5      MICROSOFT       248

12.1.5.1  Business overview 248

12.1.5.2  Products/Solutions/Services offered 249

12.1.5.3  Recent developments           250

12.1.5.3.1                Deals      250

12.1.5.4  MnM view              250

12.1.5.4.1                Right to win           250

12.1.5.4.2                Strategic choices   251

12.1.5.4.3                Weaknesses and competitive threats 251

12.1.6      GOOGLE              252

12.1.6.1  Business overview 252

12.1.6.2  Products/Solutions/Services offered 253

12.1.6.3  Recent developments           254

12.1.6.3.1                Product enhancements        254

12.1.6.3.2                Deals      255

12.1.6.4  MnM view              256

12.1.6.4.1                Right to win           256

12.1.6.4.2                Strategic choices   256

12.1.6.4.3                Weaknesses and competitive threats 256

12.1.7      NVIDIA 257

12.1.7.1  Business overview 257

12.1.7.2  Products/Solutions/Services offered 258

12.1.7.3  Recent developments           259

12.1.7.3.1                Product enhancements        259

12.1.7.3.2                Deals      259

12.1.7.4  MnM view              260

12.1.7.4.1                Right to win           260

12.1.7.4.2                Strategic choices   260

12.1.7.4.3                Weaknesses and competitive threats 260

12.1.8      ACCENTURE      261

12.1.8.1  Business overview 261

12.1.8.2  Products/Solutions/Services offered 262

12.1.8.3  Recent developments           263

12.1.8.3.1                Deals      263

12.1.9      SAP SE  264

12.1.9.1  Business overview 264

12.1.9.2  Products/Solutions/Services offered 265

12.1.9.3  Recent developments           266

12.1.9.3.1                Deals      266

12.1.10   SERVICENOW    267

12.1.10.1                 Business overview 267

12.1.10.2                 Products/Solutions/Services offered 268

12.1.10.3                 Recent developments           269

12.1.10.3.1             Product enhancements        269

12.1.10.3.2             Deals      269

12.1.11   INFOSYS               270

12.1.11.1                 Business overview 270

12.1.11.2                 Products/Solutions/Services offered 271

12.1.11.3                 Recent developments           272

12.1.11.3.1             Deals      272

12.1.12   INTEL CORPORATION   273

12.1.12.1                 Business overview 273

12.1.12.2                 Products/Solutions/Services offered 274

12.1.12.3                 Recent developments           275

12.1.12.3.1             Product launches  275

12.1.12.3.2             Deals      275

12.1.13   AMD      276

12.1.13.1                 Business overview 276

12.1.13.2                 Products/Solutions/Services offered 277

12.1.13.3                 Recent developments           278

12.1.13.3.1             Product enhancements        278

12.1.13.3.2             Deals      278

12.1.14   HUAWEI               279

12.1.14.1                 Business overview 279

12.1.14.2                 Products/Solutions/Services offered 279

12.1.14.3                 Recent developments           280

12.1.14.3.1             Product launches  280

12.1.15   ALIBABA              282

12.1.16   FUJITSU                283

12.1.17   CAPGEMINI        284

12.1.18   TCS        285

12.1.19   TALKDESK          286

12.1.20   SYMPHONY AI   287

12.1.21   BLOOMREACH  288

12.1.22   C3.AI      289

12.2         START-UPS/SMES            290

12.2.1      VISENZE               290

12.2.2      PATHR.AI             291

12.2.3      VUE.AI  292

12.2.4      NEXTAIL              293

12.2.5      DAISY INTELLIGENCE   294

12.2.6      CRESTA                 295

12.2.7      MASON 296

12.2.8      SYTE      297

12.2.9      TRAX RETAIL     298

12.2.10   FEEDZAI              299

12.2.11   SHOPIC 300

12.2.12   ITREX    300

12.2.13   H2O.AI  301

12.2.14   RETAILMETRIX 302

13            ADJACENT/RELATED MARKETS                303

13.1         INTRODUCTION              303

13.2         ARTIFICIAL INTELLIGENCE MARKET – GLOBAL FORECAST TO 2030          303

13.2.1      MARKET DEFINITION   303

13.2.2      MARKET OVERVIEW       303

13.2.2.1  Artificial intelligence market, by offering         303

13.2.2.2  Artificial intelligence market, by technology    304

13.2.2.3  Artificial intelligence market, by business function        305

13.2.2.4  Artificial intelligence market, by vertical          306

13.2.2.5  Artificial intelligence market, by region            308

13.3         RETAIL ANALYTICS MARKET – GLOBAL FORECAST TO 2029        309

13.3.1      MARKET DEFINITION   309

13.3.2      MARKET OVERVIEW       309

13.3.2.1  Retail analytics market, by offering   309

13.3.2.2  Retail analytics market, by business function  310

13.3.2.3  Retail analytics market, by application              310

13.3.2.4  Retail analytics market, by end user  311

13.3.2.5  Retail analytics market, by region      312

14            APPENDIX           313

14.1         DISCUSSION GUIDE        313

14.2         KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL                316

14.3         CUSTOMIZATION OPTIONS        318

14.4         RELATED REPORTS         318

14.5         AUTHOR DETAILS           319

LIST OF TABLES

TABLE 1                USD EXCHANGE RATES, 2021–2023            38

TABLE 2                PRIMARY INTERVIEWS WITH EXPERTS  41

TABLE 3                RESEARCH ASSUMPTIONS           46

TABLE 4                FACTOR ANALYSIS          47

TABLE 5                AVERAGE SELLING PRICE OF ARTIFICIAL INTELLIGENCE IN RETAIL SOLUTIONS 60

TABLE 6                INDICATIVE PRICING ANALYSIS OF ARTIFICIAL INTELLIGENCE IN RETAIL            61

TABLE 7                ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: ECOSYSTEM       64

TABLE 8                ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: DETAILED LIST OF CONFERENCES AND EVENTS, 2024–2026                 72

TABLE 9                TARIFF RELATED TO PROCESSORS AND CONTROLLERS (HSN: 854231), 2023          73

TABLE 10              NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS                 75

TABLE 11              EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS           76

TABLE 12              ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS                 77

TABLE 13              REST OF THE WORLD: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS                 78

TABLE 14              IMPACT OF EACH FORCE ON ARTIFICIAL INTELLIGENCE IN RETAIL MARKET         85

TABLE 15              INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE SOLUTIONS 87

TABLE 16              KEY BUYING CRITERIA FOR TOP THREE SOLUTIONS        88

TABLE 17              ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING,

2019–2023 (USD MILLION)            97

TABLE 18              ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING,

2024–2030 (USD MILLION)            98

TABLE 19              ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION,

2019–2023 (USD MILLION)            99

TABLE 20              ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION,

2024–2030 (USD MILLION)            99

TABLE 21              SOLUTIONS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION,

2019–2023 (USD MILLION)          100

TABLE 22              SOLUTIONS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION,

2024–2030 (USD MILLION)            100

TABLE 23              PERSONALIZED PRODUCT RECOMMENDATIONS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019–2023 (USD MILLION)                101

TABLE 24              PERSONALIZED PRODUCT RECOMMENDATIONS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024–2030 (USD MILLION)                101

TABLE 25              CUSTOMER RELATIONSHIP MANAGEMENT: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019–2023 (USD MILLION)            102

TABLE 26              CUSTOMER RELATIONSHIP MANAGEMENT: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024–2030 (USD MILLION)            102

TABLE 27              VISUAL SEARCH: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION,

2019–2023 (USD MILLION)            103

TABLE 28              VISUAL SEARCH: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION,

2024–2030 (USD MILLION)            103

TABLE 29              VIRTUAL CUSTOMER ASSISTANT: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY REGION, 2019–2023 (USD MILLION)   104

TABLE 30              VIRTUAL CUSTOMER ASSISTANT: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY REGION, 2024–2030 (USD MILLION)   104

TABLE 31              PRICE OPTIMIZATION: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019–2023 (USD MILLION)            105

TABLE 32              PRICE OPTIMIZATION: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024–2030 (USD MILLION)            105

TABLE 33              SUPPLY CHAIN MANAGEMENT & DEMAND PLANNING: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019–2023 (USD MILLION)          106

TABLE 34              SUPPLY CHAIN MANAGEMENT & DEMAND PLANNING: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024–2030 (USD MILLION)          106

TABLE 35              VIRTUAL STORES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019–2023 (USD MILLION)                 107

TABLE 36              VIRTUAL STORES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024–2030 (USD MILLION)                 107

TABLE 37              SMART CHECKOUT: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019–2023 (USD MILLION)                 108

TABLE 38              SMART CHECKOUT: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024–2030 (USD MILLION)                 108

TABLE 39              OTHER SOLUTIONS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019–2023 (USD MILLION)            108

TABLE 40              OTHER SOLUTIONS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024–2030 (USD MILLION)            109

TABLE 41              ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE,

2019–2023 (USD MILLION)            109

TABLE 42              ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE,

2024–2030 (USD MILLION)            110

TABLE 43              SERVICES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION,

2019–2023 (USD MILLION)            110

TABLE 44              SERVICES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION,

2024–2030 (USD MILLION)            110

TABLE 45              ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE,

2019–2023 (USD MILLION)            111

TABLE 46              ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE,

2024–2030 (USD MILLION)            111

TABLE 47              PROFESSIONAL SERVICES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY REGION, 2019–2023 (USD MILLION)   111

TABLE 48              PROFESSIONAL SERVICES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY REGION, 2024–2030 (USD MILLION)   112

TABLE 49              MANAGED SERVICES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019–2023 (USD MILLION)            113

TABLE 50              MANAGED SERVICES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024–2030 (USD MILLION)            114

TABLE 51              ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE,

2019–2023 (USD MILLION)            116

TABLE 52              ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE,

2024–2030 (USD MILLION)            117

TABLE 53              GENERATIVE AI: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION,

2019–2023 (USD MILLION)            117

TABLE 54              GENERATIVE AI: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION,

2024–2030 (USD MILLION)            118

TABLE 55              OTHER AI: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION,

2019–2023 (USD MILLION)            118

TABLE 56              OTHER AI: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION,

2024–2030 (USD MILLION)            119

TABLE 57              ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION,

2019–2023 (USD MILLION)            123

TABLE 58              ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION,

2024–2030 (USD MILLION)            123

TABLE 59              MARKETING & SALES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019–2023 (USD MILLION)            124

TABLE 60              MARKETING & SALES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024–2030 (USD MILLION)            124

TABLE 61              HUMAN RESOURCES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019–2023 (USD MILLION)            125

TABLE 62              HUMAN RESOURCES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024–2030 (USD MILLION)            125

TABLE 63              FINANCE & ACCOUNTING: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY REGION, 2019–2023 (USD MILLION)   126

TABLE 64              FINANCE & ACCOUNTING: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY REGION, 2024–2030 (USD MILLION)   126

TABLE 65              OPERATIONS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION,

2019–2023 (USD MILLION)            127

TABLE 66              OPERATIONS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION,

2024–2030 (USD MILLION)            127

TABLE 67              CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019–2023 (USD MILLION)                 128

TABLE 68              CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024–2030 (USD MILLION)                 128

TABLE 69              ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY END USER,

2019–2023 (USD MILLION)            130

TABLE 70              ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY END USER,

2024–2030 (USD MILLION)            131

TABLE 71              ONLINE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION,

2019–2023 (USD MILLION)            131

TABLE 72              ONLINE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION,

2024–2030 (USD MILLION)            132

TABLE 73              ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE,

2019–2023 (USD MILLION)            132

TABLE 74              ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE,

2024–2030 (USD MILLION)            133

TABLE 75              OFFLINE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION,

2019–2023 (USD MILLION)            133

TABLE 76              OFFLINE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION,

2024–2030 (USD MILLION)            133

TABLE 77              SUPERMARKETS & HYPERMARKETS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019–2023 (USD MILLION)            134

TABLE 78              SUPERMARKETS & HYPERMARKETS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024–2030 (USD MILLION)            134

TABLE 79              SPECIALTY STORES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019–2023 (USD MILLION)                 135

TABLE 80              SPECIALTY STORES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024–2030 (USD MILLION)                 135

TABLE 81              CONVENIENCE STORES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2019–2023 (USD MILLION)            136

TABLE 82              CONVENIENCE STORES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION, 2024–2030 (USD MILLION)            136

TABLE 83              OTHER OFFLINE STORES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY REGION, 2019–2023 (USD MILLION)   137

TABLE 84              OTHER OFFLINE STORES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY REGION, 2024–2030 (USD MILLION)   137

TABLE 85              ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION,

2019–2023 (USD MILLION)            139

TABLE 86              ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY REGION,

2024–2030 (USD MILLION)            139

TABLE 87              NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING, 2019–2023 (USD MILLION)                 141

TABLE 88              NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING, 2024–2030 (USD MILLION)                 142

TABLE 89              NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION, 2019–2023 (USD MILLION)                 142

TABLE 90              NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION, 2024–2030 (USD MILLION)                 142

TABLE 91              NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE, 2019–2023 (USD MILLION)                 143

TABLE 92              NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE, 2024–2030 (USD MILLION)                 143

TABLE 93              NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION) 143

TABLE 94              NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION) 143

TABLE 95              NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE,

2019–2023 (USD MILLION)            144

TABLE 96              NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE,

2024–2030 (USD MILLION)            144

TABLE 97              NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)        144

TABLE 98              NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY BUSINESS FUNCTION, 2024–2030 (USD MILLION)        144

TABLE 99              NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY CHANNEL TYPE, 2019–2023 (USD MILLION)   145

TABLE 100            NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY CHANNEL TYPE, 2024–2030 (USD MILLION)   145

TABLE 101            NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE, 2019–2023 (USD MILLION)                 145

TABLE 102            NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE, 2024–2030 (USD MILLION)                 145

TABLE 103            NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY COUNTRY, 2019–2023 (USD MILLION)                 146

TABLE 104            NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY COUNTRY, 2024–2030 (USD MILLION)                 146

TABLE 105            US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING,

2019–2023 (USD MILLION)            146

TABLE 106            US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING,

2024–2030 (USD MILLION)            147

TABLE 107            US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION,

2019–2023 (USD MILLION)            147

TABLE 108            US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION,

2024–2030 (USD MILLION)            147

TABLE 109            US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE,

2019–2023 (USD MILLION)            148

TABLE 110            US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE,

2024–2030 (USD MILLION)            148

TABLE 111            US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)                 148

TABLE 112            US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)                 148

TABLE 113            US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE,

2019–2023 (USD MILLION)            149

TABLE 114            US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE,

2024–2030 (USD MILLION)            149

TABLE 115            US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)                 149

TABLE 116            US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD MILLION)                 149

TABLE 117            US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE,

2019–2023 (USD MILLION)            150

TABLE 118            US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE,

2024–2030 (USD MILLION)            150

TABLE 119            US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE,

2019–2023 (USD MILLION)            150

TABLE 120            US: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE,

2024–2030 (USD MILLION)            150

TABLE 121            EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING,

2019–2023 (USD MILLION)            152

TABLE 122            EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING,

2024–2030 (USD MILLION)            152

TABLE 123            EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION,

2019–2023 (USD MILLION)            152

TABLE 124            EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION,

2024–2030 (USD MILLION)            153

TABLE 125            EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE,

2019–2023 (USD MILLION)            153

TABLE 126            EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE,

2024–2030 (USD MILLION)            153

TABLE 127            EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION) 154

TABLE 128            EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION) 154

TABLE 129            EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE,

2019–2023 (USD MILLION)            154

TABLE 130            EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE,

2024–2030 (USD MILLION)            154

TABLE 131            EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)                 155

TABLE 132            EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD MILLION)                 155

TABLE 133            EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE,

2019–2023 (USD MILLION)            155

TABLE 134            EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE,

2024–2030 (USD MILLION)            155

TABLE 135            EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE,

2019–2023 (USD MILLION)            156

TABLE 136            EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE,

2024–2030 (USD MILLION)            156

TABLE 137            EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY COUNTRY/SUBREGION, 2019–2023 (USD MILLION)                 156

TABLE 138            EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY COUNTRY/SUBREGION, 2024–2030 (USD MILLION)                 157

TABLE 139            UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING,

2019–2023 (USD MILLION)            157

TABLE 140            UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING,

2024–2030 (USD MILLION)            158

TABLE 141            UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION,

2019–2023 (USD MILLION)            158

TABLE 142            UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION,

2024–2030 (USD MILLION)            158

TABLE 143            UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE,

2019–2023 (USD MILLION)            159

TABLE 144            UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE,

2024–2030 (USD MILLION)            159

TABLE 145            UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)                 159

TABLE 146            UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)                 159

TABLE 147            UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE,

2019–2023 (USD MILLION)            160

TABLE 148            UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE,

2024–2030 (USD MILLION)            160

TABLE 149            UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)                 160

TABLE 150            UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD MILLION)                 160

TABLE 151            UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE,

2019–2023 (USD MILLION)            161

TABLE 152            UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE,

2024–2030 (USD MILLION)            161

TABLE 153            UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE,

2019–2023 (USD MILLION)            161

TABLE 154            UK: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE,

2024–2030 (USD MILLION)            161

TABLE 155            ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING,

2019–2023 (USD MILLION)            162

TABLE 156            ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING,

2024–2030 (USD MILLION)            162

TABLE 157            ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION,

2019–2023 (USD MILLION)            163

TABLE 158            ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION,

2024–2030 (USD MILLION)            163

TABLE 159            ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE,

2019–2023 (USD MILLION)            164

TABLE 160            ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE,

2024–2030 (USD MILLION)            164

TABLE 161            ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)                 164

TABLE 162            ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)                 164

TABLE 163            ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE,

2019–2023 (USD MILLION)            165

TABLE 164            ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE,

2024–2030 (USD MILLION)            165

TABLE 165            ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)                 165

TABLE 166            ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD MILLION)                 165

TABLE 167            ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE,

2019–2023 (USD MILLION)            166

TABLE 168            ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE,

2024–2030 (USD MILLION)            166

TABLE 169            ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE,

2019–2023 (USD MILLION)            166

TABLE 170            ITALY: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE,

2024–2030 (USD MILLION)            166

TABLE 171            ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING,

2019–2023 (USD MILLION)            170

TABLE 172            ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING,

2024–2030 (USD MILLION)            170

TABLE 173            ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION,

2019–2023 (USD MILLION)            170

TABLE 174            ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION,

2024–2030 (USD MILLION)            171

TABLE 175            ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE,

2019–2023 (USD MILLION)            171

TABLE 176            ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE,

2024–2030 (USD MILLION)            171

TABLE 177            ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION) 172

TABLE 178            ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION) 172

TABLE 179            ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE,

2019–2023 (USD MILLION)            172

TABLE 180            ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE,

2024–2030 (USD MILLION)            172

TABLE 181            ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)        173

TABLE 182            ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY BUSINESS FUNCTION, 2024–2030 (USD MILLION)        173

TABLE 183            ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE, 2019–2023 (USD MILLION)                 173

TABLE 184            ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE, 2024–2030 (USD MILLION)                 173

TABLE 185            ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE,

2019–2023 (USD MILLION)            174

TABLE 186            ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE,

2024–2030 (USD MILLION)            174

TABLE 187            ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY COUNTRY/SUBREGION, 2019–2023 (USD MILLION)    174

TABLE 188            ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY COUNTRY/SUBREGION, 2024–2030 (USD MILLION)    175

TABLE 189            CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING,

2019–2023 (USD MILLION)            175

TABLE 190            CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING,

2024–2030 (USD MILLION)            176

TABLE 191            CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION,

2019–2023 (USD MILLION)            176

TABLE 192            CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION,

2024–2030 (USD MILLION)            176

TABLE 193            CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE,

2019–2023 (USD MILLION)            177

TABLE 194            CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE,

2024–2030 (USD MILLION)            177

TABLE 195            CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)                 177

TABLE 196            CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)                 177

TABLE 197            CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE,

2019–2023 (USD MILLION)            178

TABLE 198            CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE,

2024–2030 (USD MILLION)            178

TABLE 199            CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)                 178

TABLE 200            CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD MILLION)                 178

TABLE 201            CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE,

2019–2023 (USD MILLION)            179

TABLE 202            CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE,

2024–2030 (USD MILLION)            179

TABLE 203            CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE,

2019–2023 (USD MILLION)            179

TABLE 204            CHINA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE,

2024–2030 (USD MILLION)            179

TABLE 205            INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING,

2019–2023 (USD MILLION)            181

TABLE 206            INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING,

2024–2030 (USD MILLION)            181

TABLE 207            INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION,

2019–2023 (USD MILLION)            181

TABLE 208            INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION,

2024–2030 (USD MILLION)            182

TABLE 209            INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE,

2019–2023 (USD MILLION)            182

TABLE 210            INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE,

2024–2030 (USD MILLION)            182

TABLE 211            INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)                 183

TABLE 212            INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)                 183

TABLE 213            INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE,

2019–2023 (USD MILLION)            183

TABLE 214            INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE,

2024–2030 (USD MILLION)            183

TABLE 215            INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)                 184

TABLE 216            INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD MILLION)                 184

TABLE 217            INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE,

2019–2023 (USD MILLION)            184

TABLE 218            INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE,

2024–2030 (USD MILLION)            184

TABLE 219            INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE,

2019–2023 (USD MILLION)            185

TABLE 220            INDIA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE,

2024–2030 (USD MILLION)            185

TABLE 221            MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY OFFERING, 2019–2023 (USD MILLION)               189

TABLE 222            MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY OFFERING, 2024–2030 (USD MILLION)               189

TABLE 223            MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY SOLUTION, 2019–2023 (USD MILLION)              189

TABLE 224            MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY SOLUTION, 2024–2030 (USD MILLION)              190

TABLE 225            MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY SERVICE, 2019–2023 (USD MILLION)  190

TABLE 226            MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY SERVICE, 2024–2030 (USD MILLION)  190

TABLE 227            MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION) 191

TABLE 228            MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION) 191

TABLE 229            MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY TYPE, 2019–2023 (USD MILLION)         191

TABLE 230            MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY TYPE, 2024–2030 (USD MILLION)         191

TABLE 231            MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)        192

TABLE 232            MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY BUSINESS FUNCTION, 2024–2030 (USD MILLION)        192

TABLE 233            MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY CHANNEL TYPE, 2019–2023 (USD MILLION)   192

TABLE 234            MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY CHANNEL TYPE, 2024–2030 (USD MILLION)   192

TABLE 235            MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY OFFLINE, 2019–2023 (USD MILLION) 193

TABLE 236            MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY OFFLINE, 2024–2030 (USD MILLION) 193

TABLE 237            MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY COUNTRY, 2019–2023 (USD MILLION)               193

TABLE 238            MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY COUNTRY, 2024–2030 (USD MILLION)               194

TABLE 239            KSA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING,

2019–2023 (USD MILLION)            195

TABLE 240            KSA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING,

2024–2030 (USD MILLION)            195

TABLE 241            KSA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION,

2019–2023 (USD MILLION)            195

TABLE 242            KSA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION,

2024–2030 (USD MILLION)            196

TABLE 243            KSA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE,

2019–2023 (USD MILLION)            196

TABLE 244            KSA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE,

2024–2030 (USD MILLION)            196

TABLE 245            KSA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)                 197

TABLE 246            KSA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)                 197

TABLE 247            KSA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE,

2019–2023 (USD MILLION)            197

TABLE 248            KSA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE,

2024–2030 (USD MILLION)            197

TABLE 249            KSA: AI IN RETAIL MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)   198

TABLE 250            KSA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD MILLION)                 198

TABLE 251            KSA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE,

2019–2023 (USD MILLION)            198

TABLE 252            KSA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE,

2024–2030 (USD MILLION)            198

TABLE 253            KSA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE,

2019–2023 (USD MILLION)            199

TABLE 254            KSA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE,

2024–2030 (USD MILLION)            199

TABLE 255            LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING, 2019–2023 (USD MILLION)                 201

TABLE 256            LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING, 2024–2030 (USD MILLION)                 202

TABLE 257            LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION, 2019–2023 (USD MILLION)                 202

TABLE 258            LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION, 2024–2030 (USD MILLION)                 202

TABLE 259            LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE, 2019–2023 (USD MILLION)                 203

TABLE 260            LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE, 2024–2030 (USD MILLION)                 203

TABLE 261            LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION) 203

TABLE 262            LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION) 203

TABLE 263            LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE,

2019–2023 (USD MILLION)            204

TABLE 264            LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE,

2024–2030 (USD MILLION)            204

TABLE 265            LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)        204

TABLE 266            LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY BUSINESS FUNCTION, 2024–2030 (USD MILLION)        204

TABLE 267            LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE, 2019–2023 (USD MILLION)                 205

TABLE 268            LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE, 2024–2030 (USD MILLION)                 205

TABLE 269            LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE,

2019–2023 (USD MILLION)            205

TABLE 270            LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE,

2024–2030 (USD MILLION)            205

TABLE 271            LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY COUNTRY, 2019–2023 (USD MILLION)                 206

TABLE 272            LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY COUNTRY, 2024–2030 (USD MILLION)                 206

TABLE 273            BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING,

2019–2023 (USD MILLION)            206

TABLE 274            BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFERING,

2024–2030 (USD MILLION)            207

TABLE 275            BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION,

2019–2023 (USD MILLION)            207

TABLE 276            BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SOLUTION,

2024–2030 (USD MILLION)            207

TABLE 277            BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE,

2019–2023 (USD MILLION)            208

TABLE 278            BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY SERVICE,

2024–2030 (USD MILLION)            208

TABLE 279            BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION) 208

TABLE 280            BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET,

BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION) 208

TABLE 281            BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE,

2019–2023 (USD MILLION)            209

TABLE 282            BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY TYPE,

2024–2030 (USD MILLION)            209

TABLE 283            BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)                 209

TABLE 284            BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD MILLION)                 209

TABLE 285            BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE,

2019–2023 (USD MILLION)            210

TABLE 286            BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY CHANNEL TYPE,

2024–2030 (USD MILLION)            210

TABLE 287            BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE,

2019–2023 (USD MILLION)            210

TABLE 288            BRAZIL: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, BY OFFLINE,

2024–2030 (USD MILLION)            210

TABLE 289            ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: DEGREE OF COMPETITION         214

TABLE 290            ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: TYPE FOOTPRINT            217

TABLE 291            ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: OFFERING FOOTPRINT 218

TABLE 292            ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: REGIONAL FOOTPRINT                 219

TABLE 293            ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: DETAILED LIST OF

KEY START-UPS/SMES   222

TABLE 294            ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: COMPETITIVE

BENCHMARKING OF KEY START-UPS/SMES        223

TABLE 295            ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: PRODUCT LAUNCHES & ENHANCEMENTS, JUNE 2022–OCTOBER 2024        224

TABLE 296            ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: DEALS, JUNE 2022–OCTOBER 2024             226

TABLE 297            IBM: COMPANY OVERVIEW         231

TABLE 298            IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED             232

TABLE 299            IBM: PRODUCT ENHANCEMENTS             234

TABLE 300            IBM: DEALS        234

TABLE 301            AMAZON: COMPANY OVERVIEW               236

TABLE 302            AMAZON: PRODUCTS/SOLUTIONS/SERVICES OFFERED             237

TABLE 303            AMAZON: DEALS              238

TABLE 304            AMAZON: OTHER DEALS/DEVELOPMENTS                 239

TABLE 305            SALESFORCE: COMPANY OVERVIEW      240

TABLE 306            SALESFORCE: PRODUCTS/SOLUTIONS/SERVICES OFFERED    241

TABLE 307            SALESFORCE: PRODUCT LAUNCHES AND ENHANCEMENTS             243

TABLE 308            SALESFORCE: DEALS      244

TABLE 309            ORACLE: COMPANY OVERVIEW                245

TABLE 310            ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED             246

TABLE 311            ORACLE: DEALS                247

TABLE 312            MICROSOFT: COMPANY OVERVIEW        248

TABLE 313            MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED    249

TABLE 314            MICROSOFT: PRODUCT ENHANCEMENTS                 250

TABLE 315            MICROSOFT: DEALS       250

TABLE 316            GOOGLE: COMPANY OVERVIEW               252

TABLE 317            GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED             253

TABLE 318            GOOGLE: PRODUCT LAUNCHES               254

TABLE 319            GOOGLE: DEALS              255

TABLE 320            NVIDIA: COMPANY OVERVIEW  257

TABLE 321            NVIDIA: PRODUCTS/SOLUTIONS/SERVICES OFFERED             258

TABLE 322            NVIDIA: PRODUCT LAUNCHES  259

TABLE 323            NVIDIA: DEALS 259

TABLE 324            ACCENTURE: COMPANY OVERVIEW       261

TABLE 325            ACCENTURE: PRODUCTS/SOLUTIONS/SERVICES OFFERED    262

TABLE 326            ACCENTURE: DEALS       263

TABLE 327            SAP SE: COMPANY OVERVIEW   264

TABLE 328            SAP SE: PRODUCTS/SOLUTIONS/SERVICES OFFERED             265

TABLE 329            SAP SE: DEALS   266

TABLE 330            SERVICENOW: COMPANY OVERVIEW     267

TABLE 331            SERVICENOW: PRODUCTS/SOLUTIONS/SERVICES OFFERED    268

TABLE 332            SERVICENOW: PRODUCT ENHANCEMENTS                 269

TABLE 333            SERVICENOW: DEALS    269

TABLE 334            INFOSYS: COMPANY OVERVIEW                270

TABLE 335            INFOSYS: PRODUCTS/SOLUTIONS/SERVICES OFFERED             271

TABLE 336            INFOSYS: DEALS               272

TABLE 337            INTEL: COMPANY OVERVIEW    273

TABLE 338            INTEL: PRODUCTS/SOLUTIONS/SERVICES OFFERED             274

TABLE 339            INTEL: PRODUCT LAUNCHES    275

TABLE 340            INTEL: DEALS    275

TABLE 341            AMD: COMPANY OVERVIEW       276

TABLE 342            AMD: PRODUCTS/SOLUTIONS/SERVICES OFFERED             277

TABLE 343            AMD: PRODUCT ENHANCEMENTS          278

TABLE 344            AMD: DEALS      278

TABLE 345            HUAWEI: COMPANY OVERVIEW                279

TABLE 346            HUAWEI: PRODUCTS/SOLUTIONS/SERVICES OFFERED             279

TABLE 347            HUAWEI: PRODUCT LAUNCHES                280

TABLE 348            ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD BILLION)      304

TABLE 349            ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD BILLION)      304

TABLE 350            ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2019–2023 (USD BILLION)             305

TABLE 351            ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2024–2030 (USD BILLION)             305

TABLE 352            ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION,

2019–2023 (USD BILLION)             306

TABLE 353            ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION,

2024–2030 (USD BILLION)             306

TABLE 354            ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2019–2023 (USD BILLION)      307

TABLE 355            ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2024–2030 (USD BILLION)      307

TABLE 356            ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)           308

TABLE 357            ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD BILLION)           308

TABLE 358            RETAIL ANALYTICS MARKET, BY OFFERING, 2019–2023 (USD MILLION)            309

TABLE 359            RETAIL ANALYTICS MARKET, BY OFFERING, 2024–2029 (USD MILLION)            309

TABLE 360            RETAIL ANALYTICS MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)   310

TABLE 361            RETAIL ANALYTICS MARKET, BY BUSINESS FUNCTION, 2024–2029 (USD MILLION)   310

TABLE 362            RETAIL ANALYTICS MARKET, BY APPLICATION, 2019–2023 (USD MILLION)            311

TABLE 363            RETAIL ANALYTICS MARKET, BY APPLICATION, 2024–2029 (USD MILLION)            311

TABLE 364            RETAIL ANALYTICS END-USER MARKET, BY PRODUCT TYPE,

2019–2023 (USD MILLION)            311

TABLE 365            RETAIL ANALYTICS END-USER MARKET, BY PRODUCT TYPE,

2024–2029 (USD MILLION)            312

TABLE 366            RETAIL ANALYTICS MARKET, BY REGION, 2019–2023 (USD MILLION)       312

TABLE 367            RETAIL ANALYTICS MARKET, BY REGION, 2024–2029 (USD MILLION)       312

LIST OF FIGURES

FIGURE 1              ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: RESEARCH DESIGN         39

FIGURE 2              BREAKUP OF PRIMARY INTERVIEWS: BY COMPANY TYPE, DESIGNATION,

AND REGION     41

FIGURE 3              TOP-DOWN APPROACH                42

FIGURE 4              APPROACH 1 (SUPPLY SIDE): REVENUE OF VENDORS IN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET                 42

FIGURE 5              BOTTOM-UP APPROACH              43

FIGURE 6              DEMAND-SIDE ANALYSIS             43

FIGURE 7              BOTTOM-UP (SUPPLY SIDE) ANALYSIS: COLLECTIVE REVENUE FROM SOLUTIONS/SERVICES OF ARTIFICIAL INTELLIGENCE IN RETAIL MARKET                 44

FIGURE 8              DATA TRIANGULATION                45

FIGURE 9              ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, 2022–2030 (USD MILLION)            48

FIGURE 10            ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: REGIONAL SNAPSHOT  49

FIGURE 11            GROWING DEMAND FOR ENHANCING PERSONALIZED EXPERIENCES, OPTIMIZING INVENTORY MANAGEMENT, AND DYNAMIC PRICING TO DRIVE MARKET                 50

FIGURE 12            SOLUTIONS SEGMENT TO ACCOUNT FOR LARGER MARKET SHARE IN 2024               50

FIGURE 13            MANAGED SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING

FORECAST PERIOD         51

FIGURE 14            MARKETING & SALES SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE

IN 2024  51

FIGURE 15            GENERATIVE AI SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD        51

FIGURE 16            PERSONALIZED PRODUCT RECOMMENDATIONS SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024 52

FIGURE 17            ONLINE SEGMENT TO ACCOUNT FOR LARGER MARKET SHARE IN 2024 52

FIGURE 18            PERSONALIZED PRODUCT RECOMMENDATIONS AND PROFESSIONAL SERVICES SEGMENTS TO ACCOUNT FOR SIGNIFICANT MARKET SHARES IN 2024  53

FIGURE 19            ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES                 54

FIGURE 20            CONSUMER LIKELIHOOD OF USING CONVERSATIONAL AI FOR ADVICE AND RECOMMENDATIONS                 55

FIGURE 21            TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS   59

FIGURE 22            AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY SOLUTION               59

FIGURE 23            ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: SUPPLY CHAIN ANALYSIS             62

FIGURE 24            ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: ECOSYSTEM       63

FIGURE 25            LIST OF MAJOR PATENTS FOR ARTIFICIAL INTELLIGENCE IN RETAIL            67

FIGURE 26            PROCESSORS AND CONTROLLERS EXPORT, BY KEY COUNTRY,

2016–2023 (USD BILLION)             70

FIGURE 27            PROCESSORS AND CONTROLLERS IMPORT, BY KEY COUNTRY,

2016–2023 (USD BILLION)             72

FIGURE 28            PORTER’S FIVE FORCES IMPACT ON ARTIFICIAL INTELLIGENCE IN RETAIL MARKET         85

FIGURE 29            INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE SOLUTIONS 87

FIGURE 30            KEY BUYING CRITERIA FOR TOP THREE SOLUTIONS        88

FIGURE 31            EVOLUTION OF ARTIFICIAL INTELLIGENCE IN RETAIL 89

FIGURE 32            SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD          97

FIGURE 33            VISUAL SEARCH SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD      98

FIGURE 34            MANAGED SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD        109

FIGURE 35            GENERATIVE AI SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD        116

FIGURE 36            CYBERSECURITY SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD      122

FIGURE 37            OFFLINE SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD          130

FIGURE 38            NORTH AMERICA: MARKET SNAPSHOT 141

FIGURE 39            MIDDLE EAST & AFRICA: MARKET SNAPSHOT                 188

FIGURE 40            REVENUE ANALYSIS FOR KEY COMPANIES IN PAST THREE YEARS        213

FIGURE 41            SHARE OF LEADING COMPANIES IN ARTIFICIAL INTELLIGENCE

IN RETAIL MARKET, 2023               214

FIGURE 42            MARKET RANKING ANALYSIS OF TOP FIVE PLAYERS              215

FIGURE 43            ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2023  216

FIGURE 44            ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: COMPANY FOOTPRINT 217

FIGURE 45            ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: COMPANY EVALUATION MATRIX (START-UPS/SMES), 2023                 221

FIGURE 46            BRAND/PRODUCT COMPARISON             229

FIGURE 47            FINANCIAL METRICS OF KEY ARTIFICIAL INTELLIGENCE IN RETAIL

MARKET VENDORS         230

FIGURE 48            COMPANY VALUATION OF KEY ARTIFICIAL INTELLIGENCE IN RETAIL

MARKET VENDORS         230

FIGURE 49            IBM: COMPANY SNAPSHOT         232

FIGURE 50            AMAZON: COMPANY SNAPSHOT              237

FIGURE 51            SALESFORCE: COMPANY SNAPSHOT      241

FIGURE 52            ORACLE: COMPANY SNAPSHOT                246

FIGURE 53            MICROSOFT: COMPANY SNAPSHOT        249

FIGURE 54            GOOGLE: COMPANY SNAPSHOT               253

FIGURE 55            NVIDIA: COMPANY SNAPSHOT 258

FIGURE 56            ACCENTURE: COMPANY SNAPSHOT       262

FIGURE 57            SAP SE: COMPANY SNAPSHOT   265

FIGURE 58            SERVICENOW: COMPANY SNAPSHOT     268

FIGURE 59            INFOSYS: COMPANY SNAPSHOT                271

FIGURE 60            INTEL: COMPANY SNAPSHOT    274

FIGURE 61            AMD: COMPANY SNAPSHOT       277

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