Please Wait.....
Report
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
Market Reprt I 2025-02-01 I 320 Pages I MarketsandMarkets
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.
"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).
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
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
- Not Sure / Need Reassuring
- Confirm Content
-
Content is provided by our partners and every effort is made to make Market Report details as clear as possible. If you are not sure the exact content you require is included in this study you can Contact us to double check. To do this you can:
Use the ‘? ASK A QUESTION’ below the license / prices and to the right of this box. This will come directly to our team who will work on dealing with your request as soon as possible.
Write to directly on support@scotts-international.com with details. Please include as much information as possible including the name of report or link so our staff will be able to work on you request.
Telephone us directly on 0048 603 394 346 and an experienced member of team will be on hand to answer.
-
- Sample Pages
-
With the vast majority of our partners we can obtain Sample Pages to support your decision. This is something we can arrange without revealing your personal details.
It is important to note that we will not be able to provide you the exact data or statistics such as Market Size and Forecasts. Sample pages usually confirm the layout or the Categories included in Charts and Graphs, excluding specific data.
To ask for Sample Pages by contact us through ‘? ASK A QUESTION’, support@scotts-international.com, or by telephoning 0048 603 394 346.
-
- Check for Alternatives
-
Whilst we try to make our online platform as easy to use as possible there is always the possibility that a better alternative has not been found in your search.
To avoid this possibility Contact us through ‘? ASK A QUESTION’, support@scotts-international.com, or by telephoning 0048 603 394 346 and a Senior Team Member can review your requirements and send a list of possibilities with opinions and recommendations.
-
- Confirm Content
- Prices / Formats / Delivery
- Prices
-
All prices are set by our partners and should be exactly the same as those listed on their own websites. We work on a Revenue share basis ensuring that you never pay more than what is offered elsewhere.
Should you find the price cheaper on another platform we recommend you to Contact us as we should be able to match this price. You can Contact us though through ‘? ASK A QUESTION’, support@scotts-international.com, or by telephoning 0048 603 394 346.
-
- Discounts
-
As we work in close partnership with our Partners from time to time we can secure discounts and assist with negotiations, this is part of our personalised service to you.
Discounts can sometimes be arranged for speedily placed orders; multiple report purchases or Higher License purchases.
To check if a Discount is possible please Contact our experienced team through ‘? ASK A QUESTION’, support@scotts-international.com, or by telephoning 0048 603 394 346.
-
- Available Currencies
-
Most Market Reports on our platform are listed in USD or EURO based on the wishes of our Partners. To avoid currency fluctuations and potential price differentiations we do not offer the possibility to change the currency online.
Should you wish to pay in a different currency to that advertised online we do accept payments in USD, EURO, GBP and PLN. The price will be calculated based on the relevant exchange rate taken from our National Bank.
To pay in a different above currency to that advertised online please Contact our team and a quotation will be sent within a couple of hours with payment details.
-
- Licenses
-
License options vary from Partner to Partner as is usually based on the number of Users that will benefitting from the report. It is very important that License ordered is not breached as this could have potential negative consequences for you individually or your employer.
If you have questions or need confirmation about the specific license we recommend you to Contact us and a detailed explanation will be provided.
-
- Global Site License
-
The Global Site License is the most comprehensive license available. By selecting this license, the Market Report can be shared with other ‘Allowed Users’ and any other member of staff from the same organisation regardless of geographic location.
It is important to note that this may exclude Parent Companies or Subsidiaries.
If you have questions or need confirmation about the specific license we recommend you to Contact us and a detailed explanation will be provided.
-
- Formats
-
The most common format is PDF, however in certain circumstances data may be present in Excel format or Online, especially in the case of Database or Directories. In addition, for certain higher license options a CD may also be provided.
If you have questions or need clarification about the specific formats we recommend you to Contact us and a detailed explanation will be provided.
-
- Delivery
-
Delivery is fulfilled by our partners directly. Once an order has been placed we inform the partner by sharing the delivery email details given in the order process.
Delivery is usually made within 24 hours of an order being placed, however it may take longer should your order be placed prior to the weekend or if otherwise specified on the Market Report details page. Additionally, if details have been not fully completed in the Order process a delay in delivery is possible.
If a delay in delivery is expected you will be informed about it immediately.
-
- Shipping Charges
-
As most Market Reports are delivered in PDF format we almost never have to add additional Shipping Charges. If, however you are ordering a Higher License service or a specific delivery format (e.g. CD version) charges may apply.
If you are concerned about additional Shipping Charges we recommend you to Contact us to double check.
-
- Prices
- Ordering
- By Credit Card
-
We work in Partnership with PayU to ensure payments are made securely in a fast and effortless way. PayU is the e-payments division of Naspers.
Naspers operates in over 133 International Markets and ranks 3rd Globally in terms of the number of e-commerce customers served.
For more information on PayU please visit: https://www.payu.pl/en/about-us
-
- By Money Transfer
-
If you require an invoice prior to payment, this is possible. To ensure a speedy delivery of the Market Report we require all relevant company details and you agree to maximum payment terms of 30 days from receipt of order.
With our regular clients deliver of the Market Report can be made prior to receiving payment, however in some circumstances we may ask for payment to be received before arranging for the Market Report to be delivered.
-
- By Credit Card
- Security
- Website security
-
We have specifically partnered with leading International companies to protect your privacy by using different technologies and processes to ensure security.
Everything submitted to Scotts International is encrypted via SSL (Secure Socket Layer) and all personal information provided to Scotts International is stored on computer systems with limited access in controlled environments.
-
- Credit Card Security
-
We partner with PayU (https://www.payu.pl/en/about-us) to ensure all credit card payments are made securely in a fast and effortless way.
PayU offers 250+ various payment channels and eWallet services across 4 continents allowing buyers to pay electronically, whether on a computer or a mobile device.
-
- Website security