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    Artificial Intelligence in Retail Market

    Artificial Intelligence (AI) in Retail Market Size, Share, Forecast, & Trends by Offering (Solutions (Supply Chain Management, Predictive Merchandising, Others), Services), Technology, Type (Online Retail, Offline Retail), Deployment Mode, End User, Geography— Global Forecasts to 2032

    Report ID:MRICT - 104227 Pages: 200 Jan-2025 Formats*: PDF Category: Information and Communications Technology Delivery: 24 to 72 Hours

    The Artificial Intelligence in Retail Market was valued at $7 billion in 2024. This market is anticipated to reach $92.7 billion by 2032 from an estimated $9.4 billion in 2025, at a CAGR of 38.6% during the forecast period from 2025–2032.

    Artificial Intelligence [AI] in Retail Market Size & Forecast

    Key factors driving the growth of this market include the surge in smart stores, a rising focus on enhancing customer experience, and the rising integration of AI in inventory management. However, the low rate of technology adoption in unorganized retail and the low availability of qualified professionals restrain this market’s growth. 

    Furthermore, the rising adoption of AI-based voice assistants and AI-powered personal shopping services is anticipated to create substantial growth opportunities for companies operating in this market. However, stringent regulations, data privacy risks, and the difficulties associated with integrating AI technologies into existing systems are some of the challenges impacting market growth. 

    Artificial Intelligence [AI] in Retail Market Growth Drivers

    Surge in Smart Stores 

    Smart stores, also known as connected stores, autonomous stores, or intelligent retail environments, are brick-and-mortar stores that incorporate various technologies to enhance the shopping experience, optimize operations, and improve customer engagement and lifetime value (CLV). The development of smart shopping and autonomous stores globally has seen significant growth and innovation in recent years. Retailers in recent years have begun to incorporate innovative technologies into their stores to deliver a more frictionless shopping experience for their customers. 

    The adoption of smart stores has been driven by advancements in computer vision, AI, and consumer demand for more efficient, frictionless shopping experiences. The integration of these technologies not only improves the shopping experience but also helps retailers streamline their operations and better meet the needs of their customers. 

    Recent developments in this market include: 

    • In May 2025, the German supermarket chain Rewe opened a hybrid supermarket at Wehrhahn in Düsseldorf, utilizing artificial intelligence (AI) and advanced technology. This marks an expansion of Rewe's experiments with autonomous stores, which are already operational in Cologne, Berlin, and Munich.  

    • In March 2021, Amazon (U.S.) opened its first "just walk out" grocery store outside the U.S. in London, under the Amazon Fresh brand. Customers can enter the store by scanning a smartphone app and are automatically charged for their purchases as they exit. 

    Artificial Intelligence in Retail Market

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    Increasing Integration of AI in Inventory Management 

    AI has transformed various operational and decision-making aspects in the retail sector. Effective inventory management involves careful monitoring and control of stock levels to ensure product availability while minimizing costs and maximizing profits. In recent years, AI has significantly changed how retailers manage their inventory. AI enhances retail inventory management by analyzing vast amounts of data to optimize stock control. By examining historical sales, customer behavior, market trends, and external factors, AI algorithms provide retailers with valuable insights that improve decision-making and streamline the supply chain. 

    With AI, retailers can accurately forecast demand, ensuring the right products are in stock at the right time. By assessing customer preferences and purchasing patterns, AI can identify trends and predict future demand, allowing retailers to adjust their inventory levels accordingly. This approach helps prevent stockouts and overstock situations, improving customer satisfaction by ensuring popular products are consistently available. 

    Several retailers are leveraging AI to optimize their inventory management processes. For example, Walmart Inc., a major American multinational retail corporation, uses AI for demand forecasting, inventory control, and supply chain optimization. Its AI initiative, known as the Walmart Intelligent Retail Lab (IRL), utilizes machine learning algorithms to predict sales trends, manage stock levels, and automate warehouse operations. 

    Additionally, the increasing focus among market players to develop innovative solutions for retail inventory management is expected to drive market growth. For instance, in January 2024, Google Cloud (U.S.) launched a new AI tool designed to help large retailers better track inventory on their shelves. 

    Artificial Intelligence [AI] in Retail Market Growth Opportunity  

    Increasing Demand for AI-powered Personal Shopping Services 

    AI personal shopping assistants are software tools or applications that utilize artificial intelligence to assist users with their shopping needs. These AI-powered services leverage advanced algorithms and machine learning to understand a customer’s preferences, style, and budget. They can quickly sift through thousands of products, curating selections that align with the customer’s unique requirements. This process not only saves time but also makes online shopping a more enjoyable and hassle-free experience. 

    With advancements in AI technology, these services now offer levels of personalization and efficiency that were previously unattainable. By combining powerful algorithms with machine learning, AI personal shopping assistants can effectively interpret customer preferences and deliver a highly customized shopping experience. Various companies and platforms provide these services, each focusing on enhancing different aspects of the shopping experience. For instance, Amazon's platform employs AI to recommend products based on users' browsing and purchasing history. 

    Overall, AI personal shopping services aim to enhance convenience, efficiency, and personalization in the shopping experience by leveraging data and advanced algorithms. As technology continues to evolve, the demand for AI-powered personal shopping services is expected to increase, creating significant opportunities for market growth. 

    Some of the recent developments from market players are as follows: 

    • In January 2025, Etsy (U.S.) launched a new hub that combines artificial intelligence (AI) with human curation to assist shoppers in finding gifts for any occasion. The interactive Gift Mode helps users discover presents that align with the specific interests of the recipient. 

    • In November 2024, Mastercard Inc. (U.S.) launched an AI-powered personal shopping assistant tool called Shopping Muse for retailers. Developed under its Dynamic Yield division, Shopping Muse aims to replicate the in-store shopping experience using advanced AI capabilities, offering tailored recommendations based on each customer's preferences and profile. 

    Artificial Intelligence [AI] in Retail Market Analysis: Key Findings

    By Offering: In 2025, the Solutions Segment to Dominate the Artificial Intelligence in Retail Market 

    Based on offering, the artificial intelligence in retail market is segmented into solutions and services. In 2025, the solutions segment is anticipated to dominate the market, with a share of over 72.0%. The segment’s major share is due to the rising adoption of AI technologies in retail aimed at enhancing operations and boosting customer satisfaction. Additionally, key market players are increasingly focused on launching innovative AI solutions that enable retailers to transform the shopping experience for both customers and workers. 

    However, the services segment is anticipated to record a higher compound annual growth rate during the forecast period. This growth is due to the growing demand for visibility within organizations, which enables them to identify and address issues proactively before they impact operations or the customer experience. 

    By Technology: In 2025, the Machine Learning Segment to Dominate the Artificial Intelligence in Retail Market

    Based on technology, the artificial intelligence in retail market is segmented into machine learning, natural language processing, computer vision, and other technologies. In 2025, the machine learning segment is anticipated to dominate the market, with a share of over 36.0%. The segment’s major share is primarily attributed to the growing use of machine learning by retailers to monitor customer behavior, including movements, product interactions, and foot traffic patterns. This information is crucial for optimizing store layouts, improving product placements, and refining marketing strategies. 

    Moreover, the machine learning segment is anticipated to record the highest compound annual growth rate during the forecast period. This growth is due to the increasing integration of AI technologies by retailers to enhance customer experiences through personalized interactions, leveraging valuable customer data to inform business decisions that deliver better results. 

    By Type: In 2025, the Online Retail Segment to Dominate the Artificial Intelligence in Retail Market 

    Based on type, the artificial intelligence in retail market is segmented into online retail and offline retail. In 2025, the online retail segment is projected to dominate the market. The segment’s major share is primarily attributed to the increasing adoption of AI in online retail to enhance customer satisfaction, detect and prevent fraud, adjust pricing and offerings based on real-time user behavior, reduce operational costs, and boost revenue. 

    Moreover, the online retail segment is anticipated to record a higher compound annual growth rate during the forecast period. This growth is due to initiatives by market players to develop AI solutions designed specifically for the eCommerce sector, which aims to revolutionize the way online retailers interact with their customers. 

    The On-premise Deployments Segment to Dominate the Artificial Intelligence in Retail Market in 2025 

    Based on deployment mode, the artificial intelligence in retail market is segmented into on-premise deployment and cloud-based Deployments. In 2025, the on-premise deployments segment is projected to dominate the market. The segment’s major share is primarily attributed to the high preference for on-premise solutions among large enterprises due to the availability of trained IT professionals, established infrastructure, and security concerns associated with cloud-based deployments. 

    Moreover, the cloud-based deployments segment is anticipated to record a higher compound annual growth rate during the forecast period. Computing and storage systems are gaining popularity among small and medium-sized enterprises. Several organizations are gradually transitioning to cloud infrastructure, a trend that is expected to grow in the coming years. This transition is primarily driven by the benefits offered by cloud infrastructure, such as easy implementation, low reliance on in-house resources, and scalability. 

    The food & groceries Segment to Dominate the Artificial Intelligence in Retail Market in 2025 

    Based on end user, the artificial intelligence in retail market is segmented into food & groceries, health & wellness, automotive, fashion & clothing, electronics & white goods, general utility products, cosmetics & personal care, and other end users. In 2025, the food & groceries segment is projected to dominate the market, with a share of over 22.0%. The segment’s major market share is primarily attributed to the rising adoption of AI by food and grocery retailers to optimize supply chains, enhance customer experiences, conduct food quality inspections, personalize promotions across various customer communication channels, and make data-driven decisions. 

    However, the fashion & clothing segment is anticipated to record the highest compound annual growth rate during the forecast period. This growth is due to the growing demand for AI solutions among fashion retailers, who are leveraging this technology for analyzing trends, recommending products, optimizing supply chains, improving operational efficiency, and enhancing customer experiences. 

    Geographical Analysis

    Based on geography, the artificial intelligence in retail market is segmented into five regions: North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa. In 2025, North America is anticipated to account for the major share of over 32.0% of the artificial intelligence in retail market, followed by Asia-Pacific and Europe. North America's significant market share can be attributed to several key factors, including early adoption of new and emerging technologies, the presence of prominent market players, increasing government initiatives and investments in AI technology, and a growing focus among e-commerce enterprises on providing enhanced shopping experiences for customers. 

    However, the market in Asia-Pacific is anticipated to record the highest compound annual growth rate of 40.6% during the forecast period. The growth of this regional market is driven by the proliferation of smart stores, initiatives by leading retailers to expand their businesses across the region, and the rapidly growing retail and e-commerce industries in developing countries like India and China. Additionally, rising disposable incomes, increasing internet penetration and smartphone usage, and the growing adoption of AI by retailers to enhance customer experiences and optimize supply chain operations contribute to the market’s growth in Asia-Pacific. 

    Artificial Intelligence [AI] in Retail Market: Key Companies

    The report offers a competitive analysis based on an extensive assessment of the leading players’ product portfolios and geographic presence and the key growth strategies adopted by them over the last three to four years. Some of the key players operating in the artificial intelligence in retail market are Amazon.com, Inc. (U.S.), Google LLC (U.S.), IBM Corporation (U.S.), Intel Corporation (U.S.), Microsoft Corporation (U.S.), Nvidia Corporation (U.S.), Oracle Corporation (U.S.), SAP SE (Germany), BloomReach, Inc. (U.S.), Salesforce.com, Inc. (U.S.), ViSenze (Singapore), SymphonyAI LLC (U.S.), Daisy Intelligence Corporation (Canada), Conversica (U.S.), and RetailNext Inc. (U.S.). 

    Artificial Intelligence in Retail Market Overview: Latest Developments from Key Industry Players  

    • In June 2025, ParcelLab (U.S.) launched an AI-powered tool designed to help retailers anticipate and mitigate the financial impact of returns. By estimating inbound parcels for retail warehouses, the ParcelLab Returns Forecast AI enables retailers to better plan their warehouse resources, reduce processing times, and lower operational costs. 

    • In January 2025, IBM Corporation (U.S.) collaborated with SAP SE (Germany) to develop solutions aimed at helping clients in the consumer packaged goods and retail industries enhance their supply chain, finance operations, and sales and services using generative AI. 

    • In January 2025, SAP SE (Germany) announced new AI-driven capabilities to help retailers optimize business processes and drive profitability and customer loyalty. These innovative features, spanning from planning to personalization, will provide retailers with comprehensive customer insights and data analysis to adapt and thrive amid rapid market changes. 

    • In January 2025, Google Cloud (U.S.) launched several new tools for retailers utilizing generative AI to improve online shopping experiences and other retail operations. This suite of products includes a generative AI-powered chatbot that retailers can implement on their websites and mobile apps. These virtual agents can interact with consumers and offer product recommendations based on shoppers’ preferences. 

    Artificial Intelligence [AI] in Retail Market Research Summary 

    Particulars 

    Details 

    Number of Pages 

    250 

    Format 

    PDF 

    Forecast Period 

    2025–2032 

    Base Year 

    2024 

    CAGR 

    38.6% 

    Market Size (Value) 

    USD 92.7 Billion by 2032 

    Segments Covered 

    By Offering  

    • Solutions  

      • Supply Chain Management 

      • Predictive Merchandising  

      • Customer Experience Management 

      • Sentiment Analysis  

      • Payment Processing 

      • Price Optimization  

      • Other Solutions 

    • Services   

      • Managed Services  

      • Professional Services  

    By Technology 

    By Type 

    • Offline Retail   

      • Supermarkets   

      • Hypermarkets 

      • Specialty Stores   

      • Department Stores 

      • Other Offline Retailers  

    • Online Retail  

    By Deployment Mode 

    • Cloud-based Deployments  

    • On-premise Deployments 

    By End User 

    • Food & Groceries  

    • Health & Wellness 

    • Automotive  

    • Fashion & Clothing  

    • Electronics & White Goods  

    • General Utility Products  

    • Cosmetics & Personal Care  

    • Other End Users    

    Countries Covered 

    North America (U.S., Canada), Europe (Germany, U.K., France, Italy, Spain, Switzerland, Netherlands, and Rest of Europe), Asia-Pacific (China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia-Pacific), Latin America (Brazil, Mexico, and Rest of Latin America), and the Middle East & Africa (UAE, Israel, Rest of Middle East & Africa) 

    Key Companies 

    Amazon.com, Inc. (U.S.), Google LLC (U.S.), IBM Corporation (U.S.), Intel Corporation (U.S.), Microsoft Corporation (U.S.), Nvidia Corporation (U.S.), Oracle Corporation (U.S.), SAP SE (Germany), BloomReach, Inc. (U.S.), Salesforce.com, Inc. (U.S.), ViSenze (Singapore), SymphonyAI LLC (U.S.), Daisy Intelligence Corporation (Canada), Conversica (U.S.), RetailNext Inc. (U.S.) and among others. 

    Key questions answered in the artificial intelligence in retail market research report

    This study focuses on market assessment and opportunity analysis by analyzing the sales of AI retail solutions across various regions and countries. This study also offers a competitive analysis of the AI in retail market based on an extensive assessment of the leading players' product portfolios, geographic presence, and key growth strategies. 

    The global artificial intelligence in retail market is projected to reach $92.7 billion by 2032, at a CAGR of 38.6% during the forecast period. 

    Based on offering, the solutions segment is anticipated to hold the major share of the market in 2025. 

    Based on technology, the machine learning segment is expected to account for the largest share of the global artificial intelligence in retail market. 

    Based on type, the online retail segment is anticipated to hold the major share of the market in 2025. 

    Based on deployment mode, the cloud-based deployments segment is anticipated to hold the major share of the market in 2025. 

    Based on end user, the food & groceries segment is anticipated to hold the major share of the market in 2025. 

    Key factors driving the growth of this market include the surge in smart stores, a rising focus on enhancing customer experience, and the increasing integration of AI in inventory management.  

    Furthermore, the rising adoption of AI-based voice assistants and the increasing demand for AI-powered personal shopping services are anticipated to create substantial growth opportunities for companies in the market. 

    The key players operating in the artificial intelligence in retail market include Amazon.com, Inc. (U.S.), Google LLC (U.S.), IBM Corporation (U.S.), Intel Corporation (U.S.), Microsoft Corporation (U.S.), Nvidia Corporation (U.S.), Oracle Corporation (U.S.), SAP SE (Germany), BloomReach, Inc. (U.S.), Salesforce.com, Inc. (U.S.), ViSenze?(Singapore), SymphonyAI LLC?(U.S.), Daisy Intelligence Corporation (Canada), Conversica (U.S.), RetailNext Inc. (U.S.).  

    The market in Asia-Pacific is anticipated to register the highest growth rate over the coming years, consequently offering significant growth opportunities for companies operating in this market. 

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    1.  Introduction  
       1.1.  Market Definition  
       1.2.  Currency & Limitations  
           1.2.1.  Currency  
           1.2.2.  Limitations  
    2.  Research Methodology  
       2.1.  Research Approach  
       2.2.  Process of Data Collection and Validation  
           2.2.1.  Secondary Research  
           2.2.2.  Primary Research/Interviews with Key Opinion Leaders of the Industry  
       2.3.  Market Sizing and Forecast  
           2.3.1.  Market Size Estimation Approach  
           2.3.2.  Growth Forecast Approach  
       2.4.  Assumption for the Study  
    3.  Executive Summary  
       3.1.  Market Overview  
       3.2.  Market Analysis, by Offering  
       3.3.  Market Analysis, by Application  
       3.4.  Market Analysis, by Technology  
       3.5.  Market Analysis, by Retail Type  
       3.6.  Market Analysis, by Deployment Mode  
       3.7.  Market Analysis, by End User  
       3.8.  Market Analysis, by Geography  
       3.9.  Competitive Analysis  
    4.  Market Insights  
       4.1.  Overview  
       4.2.  Factors Affecting Market Growth  
           4.2.1.  Drivers  
               4.2.1.1.  Increasing Number of Smart Stores  
               4.2.1.2.  Growing Need to Enhance Customer Experience and Improve Productivity  
               4.2.1.3.  Rising Use of AI for Inventory Management  
           4.2.2.  Restraints  
               4.2.2.1.  Low Technology Adoption Rate in the Unorganized Retail Sector  
               4.2.2.2.  Shortage of Skilled Professionals  
           4.2.3.  Opportunities  
               4.2.3.1.  Rising Adoption of AI-based Voice Assistants  
               4.2.3.2.  Growing Demand for AI-powered Personal Shopping Services  
           4.2.4.  Challenges  
               4.2.4.1.  Legal Concerns and Data Privacy Issues  
               4.2.4.2.  Complexities Associated with Integrating AI Technologies into Existing Systems  
       4.3.  Trends  
       4.4.  Case Studies  
       4.5.  Porter's Five Forces Analysis  
       4.6.  Vendor Selection Criteria/Factors Affecting Buying Decisions  
       4.7.  Product/Technology Adoption Trends Across Different Customer/End User/Industry Segments  
    5.  Artificial Intelligence in Retail Market Assessment—by Offering  
       5.1.  Overview  
       5.2.  Solutions  
           5.2.1.  Supply Chain Management  
           5.2.2.  Predictive Merchandising  
           5.2.3.  Customer Experience Management  
           5.2.4.  Sentiment Analysis  
           5.2.5.  Payment Processing  
           5.2.6.  Price Optimization  
           5.2.7.  Other Solutions  
       5.3.  Services  
           5.3.1.  Managed Services  
           5.3.2.  Professional Services  
    6.  Artificial Intelligence in Retail Market Assessment—by Technology  
       6.1.  Overview  
       6.2.  Machine Learning  
       6.3.  Natural Language Processing  
       6.4.  Computer Vision  
       6.5.  Other Technologies  
    7.  Artificial Intelligence in Retail Market Assessment—by Type  
       7.1.  Overview  
       7.2.  Offline Retail  
           7.2.1.  Supermarkets  
           7.2.2.  Hypermarkets  
           7.2.3.  Specialty Stores  
           7.2.4.  Department Stores  
           7.2.5.  Other Offline Retailers  
       7.3.  Online Retail  
    8.  Artificial Intelligence in Retail Market Assessment—by Deployment Mode  
       8.1.  Overview  
       8.2.  Cloud-based Deployments  
       8.3.  On-premise Deployments  
    9.  Artificial Intelligence in Retail Market Assessment—by End User  
       9.1.  Overview  
       9.2.  Food & Groceries  
       9.3.  Health & Wellness  
       9.4.  Automotive  
       9.5.  Fashion & Clothing  
       9.6.  Electronics & White Goods  
       9.7.  General Utility Products  
       9.8.  Cosmetics & Personal Care  
       9.9.  Other End Users  
    10.  Artificial Intelligence in Retail Market Assessment—by Geography  
       10.1.  North America  
           10.1.1.  U.S.   
           10.1.2.  Canada  
       10.2.  Europe  
           10.2.1.  Germany  
           10.2.2.  U.K.   
           10.2.3.  France  
           10.2.4.  Italy  
           10.2.5.  Spain  
           10.2.6.  Switzerland  
           10.2.7.  Netherlands  
           10.2.8.  Rest of Europe  
       10.3.  Asia-Pacific  
           10.3.1.  Japan  
           10.3.2.  China  
           10.3.3.  India  
           10.3.4.  South Korea  
           10.3.5.  Singapore  
           10.3.6.  Malaysia  
           10.3.7.  Rest of Asia-Pacific  
       10.4.  Latin America  
           10.4.1.  Mexico  
           10.4.2.  Brazil  
           10.4.3.  Rest of Latin America  
       10.5.  Middle East & Africa  
           10.5.1.  UAE  
           10.5.2.  Israel  
           10.5.3.  Rest of Middle East & Africa  
    11.  Artificial Intelligence in Retail Market Assessment—Competitive Analysis  
       11.1.  Overview  
       11.2.  Key Growth Strategies  
       11.3.  Competitive Dashboard  
           11.3.1.  Industry Leaders  
           11.3.2.  Market differentiators  
           11.3.3.  Vanguards  
           11.3.4.  Contemporary Stalwarts  
       11.4.  Vendor Market Positioning  
       11.5.  Market Share/Ranking by the Key Players  
    12.  Company Profiles (Company Overview, Financial Overview, Product Portfolio, Strategic Developments, and SWOT Analysis)  
       12.1.  Amazon.com, Inc.   
       12.2.  Google LLC  
       12.3.  IBM Corporation  
       12.4.  Intel Corporation  
       12.5.  Microsoft Corporation  
       12.6.  Nvidia Corporation  
       12.7.  Oracle Corporation  
       12.8.  SAP SE  
       12.9.  BloomReach, Inc.   
       12.10.  Salesforce.com, Inc.   
       12.11.  ViSenze  
       12.12.  SymphonyAI LLC  
       12.13.  Daisy Intelligence Corporation  
       12.14.  Conversica  
       12.15.  RetailNext Inc.   
                  (Note: SWOT analysis of the top 5 companies will be provided)  
    13.  Appendix  
       13.1.  Available Customizations  
       13.2.  Related Reports  


    List of Tables 
    Table 1    Currency Conversion Rates (2021–2025)        
    Table 2    Global Artificial Intelligence in Retail Market, by Offering, 2022–2032 (USD Million)
    Table 3    Global Artificial Intelligence Retail Solutions Market, by Country/Region, 2022–2032 (USD Million)
    Table 4    Global Artificial Intelligence Retail Solutions Market, by Type, 2022–2032 (USD Million)        
    Table 5    Global Artificial Intelligence Retail Solutions Market for Supply Chain Management, by Country/Region, 2022–2032(USD Million)
    Table 6    Global Artificial Intelligence Retail Solutions Market for Predictive Merchandising, by Country/Region, 2022–2032(USD Million)
    Table 7     Global Artificial Intelligence Retail Solutions Market for Customer Experience Management, by Country/Region, 2022–2032(USD Million)
    Table 8    Global Artificial Intelligence Retail Solutions Market for Sentiment Analysis, by Country/Region, 2022–2032 (USD Million)
    Table 9    Global Artificial Intelligence Retail Solutions Market for Payment Processing, by Country/Region, 2022–2032 (USD Million)
    Table 10    Global Artificial Intelligence Retail Solutions Market for Price Optimization, by Country/Region, 2022–2032 (USD Million)
    Table 11    Global Other Artificial Intelligence Retail Solutions Market, by Country/Region, 2022–2032 (USD Million)
    Table 12    Global Artificial Intelligence Retail Services Market, by Country/Region, 2022–2032 (USD Million)
    Table 13    Global Artificial Intelligence Retail Services Market, by Type, 2022–2032 (USD Million)
    Table 14    Global Artificial Intelligence Retail Managed Services Market, by Country/Region, 2022–2032 (USD Million)
    Table 15    Global Artificial Intelligence Retail Professional Services Market, by Country/Region, 2022–2032 (USD Million)
    Table 16    Global Artificial Intelligence in Retail Market, by Technology, 2022–2032 (USD Million)
    Table 17    Global Artificial Intelligence in Retail Market for Machine Learning, by Country/Region, 2022–2032 (USD Million)
    Table 18    Global Artificial Intelligence in Retail Market for Natural Language Processing, by Country/Region, 2022–2032 (USD Million)
    Table 19    Global Artificial Intelligence in Retail Market for Computer Vision, by Country/Region, 2022–2032 (USD Million)
    Table 20    Global Artificial Intelligence in Retail Market for Other Technologies, by Country/Region, 2022–2032 (USD Million)
    Table 21    Global Artificial Intelligence in Retail Market, by Type, 2022–2032 (USD Million)    
    Table 22    Global Artificial Intelligence in Offline Retail Market, by Country/Region, 2022–2032 (USD Million)
    Table 23    Global Artificial Intelligence in Offline Retail Market, by Type, 2022–2032 (USD Million)
    Table 24    Global Artificial Intelligence in Retail Market for Supermarkets, by Country/Region, 2022–2032 (USD Million)
    Table 25    Global Artificial Intelligence in Retail Market for Hypermarkets, by Country/Region, 2022–2032 (USD Million)
    Table 26    Global Artificial Intelligence in Retail Market for Specialty Stores, by Country/Region, 2022–2032 (USD Million)
    Table 27    Global Artificial Intelligence in Retail Market for Department Stores, by Country/Region, 2022–2032 (USD Million)
    Table 28    Global Artificial Intelligence in Retail Market for Other Offline Retailers, by Country/Region, 2022–2032 (USD Million)
    Table 29    Global Artificial Intelligence in Online Retail Market, by Country/Region, 2022–2032 (USD Million)
    Table 30    Global Artificial Intelligence in Retail Market, by Deployment Mode, 2022–2032 (USD Million)
    Table 31    Global Artificial Intelligence in Retail Market for Cloud-based Deployments, by Country/Region, 2022–2032 (USD Million)
    Table 32    Global Artificial Intelligence in Retail Market for On-premise Deployments, by Country/Region, 2022–2032 (USD Million)
    Table 33    Global Artificial Intelligence in Retail Market, by End User, 2022–2032 (USD Million    
    Table 34    Global Artificial Intelligence in Retail Market for Food & Groceries, by Country/Region, 2022–2032 (USD Million)
    Table 35    Global Artificial Intelligence in Retail Market for Health & Wellness, by Country/Region, 2022–2032 (USD Million)
    Table 36    Global Artificial Intelligence in Retail Market for Automotive, by Country/Region, 2022–2032 (USD Million)
    Table 37    Global Artificial Intelligence in Retail Market for Fashion & Clothing, by Country/Region, 2022–2032 (USD Million)
    Table 38    Global Artificial Intelligence in Retail Market for Electronics & White Goods, by Country/Region, 2022–2032 (USD Million)
    Table 39    Global Artificial Intelligence in Retail Market for General Utility Products, by Country/Region, 2022–2032 (USD Million)
    Table 40    Global Artificial Intelligence in Retail Market for Cosmetics & Personal Care, by Country/Region, 2022–2032 (USD Million)
    Table 41    Global Artificial Intelligence in Retail Market for Other End Users, by Country/Region, 2022–2032 (USD Million)
    Table 42    Global Artificial Intelligence in Retail Market, by Country/Region, 2022–2032 (USD Million)
    Table 43    North America: Artificial Intelligence in Retail Market, by Country, 2022–2032 (USD Million)
    Table 44    North America: Artificial Intelligence in Retail Market, by Offering, 2022–2032 (USD Million)
    Table 45    North America: Artificial Intelligence Retail Solutions Market, by Type, 2022–2032 (USD Million)
    Table 46    North America: Artificial Intelligence Retail Services Market, by Type, 2022–2032 (USD Million)
    Table 47    North America: Artificial Intelligence in Retail Market, by Type, 2022–2032 (USD Million)
    Table 48    North America: Artificial Intelligence in Offline Retail Market, by Type, 2022–2032 (USD Million)
    Table 49    North America: Artificial Intelligence in Retail Market, by Deployment Mode, 2022–2032 (USD Million)
    Table 50    North America: Artificial Intelligence in Retail Market, by End User, 2022–2032 (USD Million)
    Table 51    U.S.: Artificial Intelligence in Retail Market, by Offering, 2022–2032 (USD Million)    
    Table 52    U.S.: Artificial Intelligence Retail Solutions Market, by Type, 2022–2032 (USD Million)
    Table 53    U.S.: Artificial Intelligence Retail Services Market, by Type, 2022–2032 (USD Million)
    Table 54    U.S.: Artificial Intelligence in Retail Market, by Type, 2022–2032 (USD Million)    
    Table 55    U.S.: Artificial Intelligence in Offline Retail Market, by Type, 2022–2032 (USD Million)
    Table 56    U.S.: Artificial Intelligence in Retail Market, by Deployment Mode, 2022–2032 (USD Million)
    Table 57    U.S.: Artificial Intelligence in Retail Market, by End User, 2022–2032 (USD Million)    
    Table 58    Canada: Artificial Intelligence in Retail Market, by Offering, 2022–2032 (USD Million)
    Table 59    Canada: Artificial Intelligence Retail Solutions Market, by Type, 2022–2032 (USD Million)
    Table 60    Canada: Artificial Intelligence Retail Services Market, by Type, 2022–2032 (USD Million)
    Table 61    Canada: Artificial Intelligence in Retail Market, by Type, 2022–2032 (USD Million)    
    Table 62    Canada: Artificial Intelligence in Offline Retail Market, by Type, 2022–2032 (USD Million)
    Table 63    Canada: Artificial Intelligence in Retail Market, by Deployment Mode, 2022–2032 (USD Million)
    Table 64    Canada: Artificial Intelligence in Retail Market, by End User, 2022–2032 (USD Million)
    Table 65    Europe: Artificial Intelligence in Retail Market, by Country/Region, 2022–2032 (USD Million)
    Table 66    Europe: Artificial Intelligence in Retail Market, by Offering, 2022–2032 (USD Million)
    Table 67    Europe: Artificial Intelligence Retail Solutions Market, by Type, 2022–2032 (USD Million)
    Table 68    Europe: Artificial Intelligence Retail Services Market, by Type, 2022–2032 (USD Million)
    Table 69    Europe: Artificial Intelligence in Retail Market, by Type, 2022–2032 (USD Million)    
    Table 70    Europe: Artificial Intelligence in Offline Retail Market, by Type, 2022–2032 (USD Million)
    Table 71    Europe: Artificial Intelligence in Retail Market, by Deployment Mode, 2022–2032 (USD Million)
    Table 72    Europe: Artificial Intelligence in Retail Market, by End User, 2022–2032 (USD Million)
    Table 73    Germany: Artificial Intelligence in Retail Market, by Offering, 2022–2032 (USD Million)
    Table 74    Germany: Artificial Intelligence Retail Solutions Market, by Type, 2022–2032 (USD Million)
    Table 75    Germany: Artificial Intelligence Retail Services Market, by Type, 2022–2032 (USD Million)
    Table 76    Germany: Artificial Intelligence in Retail Market, by Type, 2022–2032 (USD Million)
    Table 77    Germany: Artificial Intelligence in Offline Retail Market, by Type, 2022–2032 (USD Million)
    Table 78    Germany: Artificial Intelligence in Retail Market, by Deployment Mode, 2022–2032 (USD Million)
    Table 79    Germany: Artificial Intelligence in Retail Market, by End User, 2022–2032 (USD Million)
    Table 80    U.K.: Artificial Intelligence in Retail Market, by Offering, 2022–2032 (USD Million)    
    Table 81    U.K.: Artificial Intelligence Retail Solutions Market, by Type, 2022–2032 (USD Million)
    Table 82    U.K.: Artificial Intelligence Retail Services Market, by Type, 2022–2032 (USD Million)
    Table 83    U.K.: Artificial Intelligence in Retail Market, by Type, 2022–2032 (USD Million)    
    Table 84    U.K.: Artificial Intelligence in Offline Retail Market, by Type, 2022–2032 (USD Million)
    Table 85    U.K.: Artificial Intelligence in Retail Market, by Deployment Mode, 2022–2032 (USD Million)
    Table 86    U.K.: Artificial Intelligence in Retail Market, by End User, 2022–2032 (USD Million)    
    Table 87    France: Artificial Intelligence in Retail Market, by Offering, 2022–2032 (USD Million)
    Table 88    France: Artificial Intelligence Retail Solutions Market, by Type, 2022–2032 (USD Million)
    Table 89    France: Artificial Intelligence Retail Services Market, by Type, 2022–2032 (USD Million)
    Table 90    France: Artificial Intelligence in Retail Market, by Type, 2022–2032 (USD Million)    
    Table 91    France: Artificial Intelligence in Offline Retail Market, by Type, 2022–2032 (USD Million)
    Table 92    France: Artificial Intelligence in Retail Market, by Deployment Mode, 2022–2032 (USD Million)
    Table 93    France: Artificial Intelligence in Retail Market, by End User, 2022–2032 (USD Million)
    Table 94    Italy: Artificial Intelligence in Retail Market, by Offering, 2022–2032 (USD Million)    
    Table 95    Italy: Artificial Intelligence Retail Solutions Market, by Type, 2022–2032 (USD Million)
    Table 96    Italy: Artificial Intelligence Retail Services Market, by Type, 2022–2032 (USD Million)
    Table 97    Italy: Artificial Intelligence in Retail Market, by Type, 2022–2032 (USD Million)    
    Table 98    Italy: Artificial Intelligence in Offline Retail Market, by Type, 2022–2032 (USD Million)
    Table 99    Italy: Artificial Intelligence in Retail Market, by Deployment Mode, 2022–2032 (USD Million)
    Table 100    Italy: Artificial Intelligence in Retail Market, by End User, 2022–2032 (USD Million)    
    Table 101    Spain: Artificial Intelligence in Retail Market, by Offering, 2022–2032 (USD Million)
    Table 102    Spain: Artificial Intelligence Retail Solutions Market, by Type, 2022–2032 (USD Million)
    Table 103    Spain: Artificial Intelligence Retail Services Market, by Type, 2022–2032 (USD Million)
    Table 104    Spain: Artificial Intelligence in Retail Market, by Type, 2022–2032 (USD Million)    
    Table 105    Spain: Artificial Intelligence in Offline Retail Market, by Type, 2022–2032 (USD Million)
    Table 106    Spain: Artificial Intelligence in Retail Market, by Deployment Mode, 2022–2032 (USD Million)
    Table 107    Spain: Artificial Intelligence in Retail Market, by End User, 2022–2032 (USD Million)
    Table 108    Switzerland: Artificial Intelligence in Retail Market, by Offering, 2022–2032 (USD Million)
    Table 109    Switzerland: Artificial Intelligence Retail Solutions Market, by Type, 2022–2032 (USD Million)
    Table 110    Switzerland: Artificial Intelligence Retail Services Market, by Type, 2022–2032 (USD Million)
    Table 111    Switzerland: Artificial Intelligence in Retail Market, by Type, 2022–2032 (USD Million)
    Table 112    Switzerland: Artificial Intelligence in Offline Retail Market, by Type, 2022–2032 (USD Million)
    Table 113    Switzerland: Artificial Intelligence in Retail Market, by Deployment Mode, 2022–2032 (USD Million)
    Table 114    Switzerland: Artificial Intelligence in Retail Market, by End User, 2022–2032 (USD Million)
    Table 115    Netherlands: Artificial Intelligence in Retail Market, by Offering, 2022–2032 (USD Million)
    Table 116    Netherlands: Artificial Intelligence Retail Solutions Market, by Type, 2022–2032 (USD Million)
    Table 117    Netherlands: Artificial Intelligence Retail Services Market, by Type, 2022–2032 (USD Million)
    Table 118    Netherlands: Artificial Intelligence in Retail Market, by Type, 2022–2032 (USD Million)
    Table 119    Netherlands: Artificial Intelligence in Offline Retail Market, by Type, 2022–2032 (USD Million)
    Table 120    Netherlands: Artificial Intelligence in Retail Market, by Deployment Mode, 2022–2032 (USD Million)
    Table 121    Netherlands: Artificial Intelligence in Retail Market, by End User, 2022–2032 (USD Million)
    Table 122    Rest of Europe: Artificial Intelligence in Retail Market, by Offering, 2022–2032 (USD Million)
    Table 123    Rest of Europe: Artificial Intelligence Retail Solutions Market, by Type, 2022–2032 (USD Million)
    Table 124    Rest of Europe: Artificial Intelligence Retail Services Market, by Type, 2022–2032 (USD Million)
    Table 125    Rest of Europe: Artificial Intelligence in Retail Market, by Type, 2022–2032 (USD Million)
    Table 126    Rest of Europe: Artificial Intelligence in Offline Retail Market, by Type, 2022–2032 (USD Million)
    Table 127    Rest of Europe: Artificial Intelligence in Retail Market, by Deployment Mode, 2022–2032 (USD Million)
    Table 128    Rest of Europe: Artificial Intelligence in Retail Market, by End User, 2022–2032 (USD Million)
    Table 129    Asia-Pacific: Artificial Intelligence in Retail Market, by Country/Region, 2022–2032 (USD Million)
    Table 130    Asia-Pacific: Artificial Intelligence in Retail Market, by Offering, 2022–2032 (USD Million)
    Table 131    Asia-Pacific: Artificial Intelligence Retail Solutions Market, by Type, 2022–2032 (USD Million)
    Table 132    Asia-Pacific: Artificial Intelligence Retail Services Market, by Type, 2022–2032 (USD Million)
    Table 133    Asia-Pacific: Artificial Intelligence in Retail Market, by Type, 2022–2032 (USD Million)
    Table 134    Asia-Pacific: Artificial Intelligence in Offline Retail Market, by Type, 2022–2032 (USD Million)
    Table 135    Asia-Pacific: Artificial Intelligence in Retail Market, by Deployment Mode, 2022–2032 (USD Million)
    Table 136    Asia-Pacific: Artificial Intelligence in Retail Market, by End User, 2022–2032 (USD Million)
    Table 137    China: Artificial Intelligence in Retail Market, by Offering, 2022–2032 (USD Million)
    Table 138    China: Artificial Intelligence Retail Solutions Market, by Type, 2022–2032 (USD Million)
    Table 139    China: Artificial Intelligence Retail Services Market, by Type, 2022–2032 (USD Million)
    Table 140    China: Artificial Intelligence in Retail Market, by Type, 2022–2032 (USD Million)    
    Table 141    China: Artificial Intelligence in Offline Retail Market, by Type, 2022–2032 (USD Million)
    Table 142    China: Artificial Intelligence in Retail Market, by Deployment Mode, 2022–2032 (USD Million)
    Table 143    China: Artificial Intelligence in Retail Market, by End User, 2022–2032 (USD Million)
    Table 144    Japan: Artificial Intelligence in Retail Market, by Offering, 2022–2032 (USD Million)
    Table 145    Japan: Artificial Intelligence Retail Solutions Market, by Type, 2022–2032 (USD Million)
    Table 146    Japan: Artificial Intelligence Retail Services Market, by Type, 2022–2032 (USD Million)
    Table 147    Japan: Artificial Intelligence in Retail Market, by Type, 2022–2032 (USD Million)    
    Table 148    Japan: Artificial Intelligence in Offline Retail Market, by Type, 2022–2032 (USD Million)
    Table 149    Japan: Artificial Intelligence in Retail Market, by Deployment Mode, 2022–2032 (USD Million)
    Table 150    Japan: Artificial Intelligence in Retail Market, by End User, 2022–2032 (USD Million)
    Table 151    India: Artificial Intelligence in Retail Market, by Offering, 2022–2032 (USD Million)    
    Table 152    India: Artificial Intelligence Retail Solutions Market, by Type, 2022–2032 (USD Million)
    Table 153    India: Artificial Intelligence Retail Services Market, by Type, 2022–2032 (USD Million)
    Table 154    India: Artificial Intelligence in Retail Market, by Type, 2022–2032 (USD Million)    
    Table 155    India: Artificial Intelligence in Offline Retail Market, by Type, 2022–2032 (USD Million)
    Table 156    India: Artificial Intelligence in Retail Market, by Deployment Mode, 2022–2032 (USD Million)
    Table 157    India: Artificial Intelligence in Retail Market, by End User, 2022–2032 (USD Million)
    Table 158    South Korea: Artificial Intelligence in Retail Market, by Offering, 2022–2032 (USD Million)
    Table 159    South Korea: Artificial Intelligence Retail Solutions Market, by Type, 2022–2032 (USD Million)
    Table 160    South Korea: Artificial Intelligence Retail Services Market, by Type, 2022–2032 (USD Million)
    Table 161    South Korea: Artificial Intelligence in Retail Market, by Type, 2022–2032 (USD Million)
    Table 162    South Korea: Artificial Intelligence in Offline Retail Market, by Type, 2022–2032 (USD Million)
    Table 163    South Korea: Artificial Intelligence in Retail Market, by Deployment Mode, 2022–2032 (USD Million)
    Table 164    South Korea: Artificial Intelligence in Retail Market, by End User, 2022–2032 (USD Million)
    Table 165    Singapore: Artificial Intelligence in Retail Market, by Offering, 2022–2032 (USD Million)
    Table 166    Singapore: Artificial Intelligence Retail Solutions Market, by Type, 2022–2032 (USD Million)
    Table 167    Singapore: Artificial Intelligence Retail Services Market, by Type, 2022–2032 (USD Million)
    Table 168    Singapore: Artificial Intelligence in Retail Market, by Type, 2022–2032 (USD Million)
    Table 169    Singapore: Artificial Intelligence in Offline Retail Market, by Type, 2022–2032 (USD Million)
    Table 170    Singapore: Artificial Intelligence in Retail Market, by Deployment Mode, 2022–2032 (USD Million)
    Table 171    Singapore: Artificial Intelligence in Retail Market, by End User, 2022–2032 (USD Million)
    Table 172    Malaysia: Artificial Intelligence in Retail Market, by Offering, 2022–2032 (USD Million)
    Table 173    Malaysia: Artificial Intelligence Retail Solutions Market, by Type, 2022–2032 (USD Million)
    Table 174    Malaysia: Artificial Intelligence Retail Services Market, by Type, 2022–2032 (USD Million)
    Table 175    Malaysia: Artificial Intelligence in Retail Market, by Type, 2022–2032 (USD Million)
    Table 176    Malaysia: Artificial Intelligence in Offline Retail Market, by Type, 2022–2032 (USD Million)
    Table 177    Malaysia: Artificial Intelligence in Retail Market, by Deployment Mode, 2022–2032 (USD Million)
    Table 178    Malaysia: Artificial Intelligence in Retail Market, by End User, 2022–2032 (USD Million)
    Table 179    Rest of Asia-Pacific: Artificial Intelligence in Retail Market, by Offering, 2022–2032 (USD Million)
    Table 180    Rest of Asia-Pacific: Artificial Intelligence Retail Solutions Market, by Type, 2022–2032 (USD Million)
    Table 181    Rest of Asia-Pacific: Artificial Intelligence Retail Services Market, by Type, 2022–2032 (USD Million)
    Table 182    Rest of Asia-Pacific: Artificial Intelligence in Retail Market, by Type, 2022–2032 (USD Million)
    Table 183    Rest of Asia-Pacific: Artificial Intelligence in Offline Retail Market, by Type, 2022–2032 (USD Million)
    Table 184    Rest of Asia-Pacific: Artificial Intelligence in Retail Market, by Deployment Mode, 2022–2032 (USD Million)
    Table 185    Rest of Asia-Pacific: Artificial Intelligence in Retail Market, by End User, 2022–2032 (USD Million)
    Table 186    Latin America: Artificial Intelligence in Retail Market, by Country/Region, 2022–2032 (USD Million)
    Table 187    Latin America: Artificial Intelligence in Retail Market, by Offering, 2022–2032 (USD Million)
    Table 188    Latin America: Artificial Intelligence Retail Solutions Market, by Type, 2022–2032 (USD Million)
    Table 189    Latin America: Artificial Intelligence Retail Services Market, by Type, 2022–2032 (USD Million)
    Table 190    Latin America: Artificial Intelligence in Retail Market, by Type, 2022–2032 (USD Million)
    Table 191    Latin America: Artificial Intelligence in Offline Retail Market, by Type, 2022–2032 (USD Million)
    Table 192    Latin America: Artificial Intelligence in Retail Market, by Deployment Mode, 2022–2032 (USD Million)
    Table 193    Latin America: Artificial Intelligence in Retail Market, by End User, 2022–2032 (USD Million)
    Table 194    Brazil: Artificial Intelligence in Retail Market, by Offering, 2022–2032 (USD Million)
    Table 195    Brazil: Artificial Intelligence Retail Solutions Market, by Type, 2022–2032 (USD Million)
    Table 196    Brazil: Artificial Intelligence Retail Services Market, by Type, 2022–2032 (USD Million)
    Table 197    Brazil: Artificial Intelligence in Retail Market, by Type, 2022–2032 (USD Million)    
    Table 198    Brazil: Artificial Intelligence in Offline Retail Market, by Type, 2022–2032 (USD Million)
    Table 199    Brazil: Artificial Intelligence in Retail Market, by Deployment Mode, 2022–2032 (USD Million)
    Table 200    Brazil: Artificial Intelligence in Retail Market, by End User, 2022–2032 (USD Million)
    Table 201    Mexico: Artificial Intelligence in Retail Market, by Offering, 2022–2032 (USD Million)
    Table 202    Mexico: Artificial Intelligence Retail Solutions Market, by Type, 2022–2032 (USD Million)
    Table 203    Mexico: Artificial Intelligence Retail Services Market, by Type, 2022–2032 (USD Million)
    Table 204    Mexico: Artificial Intelligence in Retail Market, by Type, 2022–2032 (USD Million)    
    Table 205    Mexico: Artificial Intelligence in Offline Retail Market, by Type, 2022–2032 (USD Million)
    Table 206    Mexico: Artificial Intelligence in Retail Market, by Deployment Mode, 2022–2032 (USD Million)
    Table 207    Mexico: Artificial Intelligence in Retail Market, by End User, 2022–2032 (USD Million)
    Table 208    Rest of Latin America: Artificial Intelligence in Retail Market, by Offering, 2022–2032 (USD Million)
    Table 209    Rest of Latin America: Artificial Intelligence Retail Solutions Market, by Type, 2022–2032 (USD Million)
    Table 210    Rest of Latin America: Artificial Intelligence Retail Services Market, by Type, 2022–2032 (USD Million)
    Table 211    Rest of Latin America: Artificial Intelligence in Retail Market, by Type, 2022–2032 (USD Million)
    Table 212    Rest of Latin America: Artificial Intelligence in Offline Retail Market, by Type, 2022–2032 (USD Million)
    Table 213    Rest of Latin America: Artificial Intelligence in Retail Market, by Deployment Mode, 2022–2032 (USD Million)
    Table 214    Rest of Latin America: Artificial Intelligence in Retail Market, by End User, 2022–2032 (USD Million)
    Table 215    Middle East & Africa: Artificial Intelligence in Retail Market, by Country/Region, 2022–2032 (USD Million)
    Table 216    Middle East & Africa: Artificial Intelligence in Retail Market, by Offering, 2022–2032 (USD Million)
    Table 217    Middle East & Africa: Artificial Intelligence Retail Solutions Market, by Type, 2022–2032 (USD Million)
    Table 218    Middle East & Africa: Artificial Intelligence Retail Services Market, by Type, 2022–2032 (USD Million)
    Table 219    Middle East & Africa: Artificial Intelligence in Retail Market, by Type, 2022–2032 (USD Million)
    Table 220    Middle East & Africa: Artificial Intelligence in Offline Retail Market, by Type, 2022–2032 (USD Million)
    Table 221    Middle East & Africa: Artificial Intelligence in Retail Market, by Deployment Mode, 2022–2032 (USD Million)
    Table 222    Middle East & Africa: Artificial Intelligence in Retail Market, by End User, 2022–2032 (USD Million)
    Table 223    UAE: Artificial Intelligence in Retail Market, by Offering, 2022–2032 (USD Million)
    Table 224    UAE: Artificial Intelligence Retail Solutions Market, by Type, 2022–2032 (USD Million)
    Table 225    UAE: Artificial Intelligence Retail Services Market, by Type, 2022–2032 (USD Million)
    Table 226    UAE: Artificial Intelligence in Retail Market, by Type, 2022–2032 (USD Million)    
    Table 227    UAE: Artificial Intelligence in Offline Retail Market, by Type, 2022–2032 (USD Million)
    Table 228    UAE: Artificial Intelligence in Retail Market, by Deployment Mode, 2022–2032 (USD Million)
    Table 229    UAE: Artificial Intelligence in Retail Market, by End User, 2022–2032 (USD Million)    
    Table 230    Israel: Artificial Intelligence in Retail Market, by Offering, 2022–2032 (USD Million)    
    Table 231    Israel: Artificial Intelligence Retail Solutions Market, by Type, 2022–2032 (USD Million)
    Table 232    Israel: Artificial Intelligence Retail Services Market, by Type, 2022–2032 (USD Million)
    Table 233    Israel: Artificial Intelligence in Retail Market, by Type, 2022–2032 (USD Million)    
    Table 234    Israel: Artificial Intelligence in Offline Retail Market, by Type, 2022–2032 (USD Million)
    Table 235    Israel: Artificial Intelligence in Retail Market, by Deployment Mode, 2022–2032 (USD Million)
    Table 236    Israel: Artificial Intelligence in Retail Market, by End User, 2022–2032 (USD Million)
    Table 237    Rest of Middle East & Africa: Artificial Intelligence in Retail Market, by Offering, 2022–2032 (USD Million)
    Table 238    Rest of Middle East & Africa: Artificial Intelligence Retail Solutions Market, by Type, 2022–2032 (USD Million)
    Table 239    Rest of Middle East & Africa: Artificial Intelligence Retail Services Market, by Type, 2022–2032 (USD Million)
    Table 240    Rest of Middle East & Africa: Artificial Intelligence in Retail Market, by Type, 2022–2032 (USD Million)
    Table 241    Rest of Middle East & Africa: Artificial Intelligence in Offline Retail Market, by Type, 2022–2032 (USD Million)
    Table 242    Rest of Middle East & Africa: Artificial Intelligence in Retail Market, by Deployment Mode, 2022–2032 (USD Million)
    Table 243    Rest of Middle East & Africa: Artificial Intelligence in Retail Market, by End User, 2022–2032 (USD Million)
    Table 244    Recent Developments by the Major Market Players (2021–2025)

    List of Figures 
    Figure 1    Research Process 
    Figure 2    Secondary Sources Referenced for this Study 
    Figure 3    Primary Research Techniques 
    Figure 4    Key Executives Interviewed 
    Figure 5    Breakdown of Primary Interviews (Supply Side & Demand Side) 
    Figure 6    Market Sizing and Growth Forecast Approach 
    Figure 7    Key Insights 
    Figure 8    Global Artificial Intelligence in Retail Market, by Offering, 2025 Vs. 2032 (USD Million) 
    Figure 9    Global Artificial Intelligence in Retail Market, by Technology, 2025 Vs. 2032 (USD Million) 
    Figure 10    Global Artificial Intelligence in Retail Market, by Type, 2025 Vs. 2032 (USD Million) 
    Figure 11    Global Artificial Intelligence in Retail Market, by Deployment Mode, 2025 Vs. 2032 (USD Million) 
    Figure 12    Global Artificial Intelligence in Retail Market, by End User, 2025 Vs. 2032 (USD Million) 
    Figure 13    Geographic Snapshot: Artificial Intelligence in Retail Market  
    Figure 14    Impact Analysis of Market Drivers, Restraints, Opportunities, and Challenges 
    Figure 15    Global Artificial Intelligence in Retail Market, by Offering, 2025 Vs. 2032 (USD Million) 
    Figure 16    Global Artificial Intelligence in Retail Market, by Technology, 2025 Vs. 2032 (USD Million) 
    Figure 17    Global Artificial Intelligence in Retail Market, by Type, 2025 Vs. 2032 (USD Million) 
    Figure 18    Global Artificial Intelligence in Retail Market, by Deployment Mode, 2025 Vs. 2032 (USD Million) 
    Figure 19    Global Artificial Intelligence in Retail Market, by End User, 2025 Vs. 2032 (USD Million) 
    Figure 20    Global Artificial Intelligence in Retail Market, by Geography, 2025 Vs. 2032 (USD Million) 
    Figure 21    Geographic Snapshot: North America Artificial Intelligence in Retail Market  
    Figure 22    Geographic Snapshot: Europe Artificial Intelligence in Retail Market  
    Figure 23    Geographic Snapshot: Asia-Pacific Artificial Intelligence in Retail Market  
    Figure 24    Geographic Snapshot: Latin America Artificial Intelligence in Retail Market  
    Figure 25    Geographic Snapshot: Middle East & Africa Artificial Intelligence in Retail Market  
    Figure 26    Growth Strategies Adopted by Leading Market Players (2021–2025) 
    Figure 27    Competitive Dashboard: Artificial Intelligence in Retail Market  
    Figure 28    Vendor Market Positioning Analysis (2021–2025) 
    Figure 29    Amazon.com, Inc.: Financial Overview  
    Figure 30    Google LLC: Financial Overview  
    Figure 31    IBM Corporation: Financial Overview  
    Figure 32    Intel Corporation: Financial Overview  
    Figure 33    Microsoft Corporation: Financial Overview  
    Figure 34    Nvidia Corporation: Financial Overview  
    Figure 35    Oracle Corporation: Financial Overview  
    Figure 36    SAP SE: Financial Overview  
    Figure 37    Salesforce.com, Inc.: Financial Overview 

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    Author Name:

    Aniket Hade, Mahesh Khillari

    Related Tag: Artificial Intelligence in Retail Market Merchandising Customer Experience Management Sentiment Analysis Payment Processing Price Optimization
    Artificial Intelligence
    Information and Communications Technology
     
     
     

    The Artificial Intelligence in Retail Market is expected to grow at a CAGR of 38.6% from 2024 to reach $92.7 Billion by 2031.

    Top 10 Companies In Artificial Intelligence in Retail Market Data.

    Artificial intelligence technology in retail offers several benefits such as predictive merchandising, programmatic advertising, market forecasting, in-store visual monitoring & surveillance, and location-based marketing. In addition, the ability of AI solutions to enable next-level personalization, provide relevant recommendations to customers, improve retargeting strategies, and predict consumer behavior are also major driving factors for incorporation of AI in retail industry.

    Here are the top 10 companies operating in the Artificial Intelligence in Retail Market

    Amazon

    Founded in 1994 and headquartered at Washington, D.C., U.S.; Amazon company mainly focuses on advanced technologies such as artificial intelligence, cloud computing, consumer electronics, e-commerce, and digital streaming. Amazon’s Retail organization is at the center of that evolution with programs like Amazon Prime, Amazon Go, Whole Foods, private label products, and all of Amazon’s retail categories.

    The company has its geographical presence in North America, Europe, Asia-Pacific, and the Rest of the world.

    Google LLC

    Founded in 1998 and headquartered in California, U.S.; Google LLC one of the global pioneers in internet-based products and services. Google’s product portfolio ranges from search engines, cloud computing, online advertising technologies, computer hardware & software. In addition to the product and services, Google is also cementing its feet in the home automation industry either directly or through its multiple subsidiaries. Google LLC offers suite of programs, including Shopping ads and Shopping Actions, that offer different ways for retailers or organizations to get the right products to the right customers in the retail industry.

    Google has strong global network with more than 70 offices in 50 countries across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa.

    IBM

    Founded in 1911, and headquartered at Armonk, New York, U.S.; IBM functions through five key segments such as Cognitive Solutions, Technology Services & Cloud Platforms, Global Business Services, Systems, and Global Financing. The company has a diverse and vast portfolio of products and services based on technologies, such as artificial intelligence, IoT, cloud computing, security, and more. IBM is the world’s enterprise AI leader and largest cybersecurity enterprise. With IBM Watson, the company offers innovative retail customer experiences in order to revolutionize store and supply chain operations. IBM Cloud uses cloud to connect and transform multichannel experience in retail industry.

    The company offers solutions for its clients to transform their business and helps them to engage with clients and employees in effective manner.

    Intel Corporation

    Incorporated in 1968 and headquartered in California, U.S.; Intel Corporation is engaged in designing and manufacturing innovative products and technologies. The company operates in the market through six segments namely, Client Computing Group (CCG), Data Center Group (DCG), Internet of Things Group (IOTG), Non-Volatile Memory Solution Group (NSG), Intel Security Group (ISecG), Programmable Solution Group (PSG) and New Technology Group (NTG). Intel offers retail customers platforms and solutions to drive profits and improve customer loyalty through real-time inventory management, customer engagement, and personalized marketing. Deep learning and computer vision capabilities from Intel extend AI to the device and gateway level, giving retailers the ability to recognize loyal customers in the store, optimize inventory, or perform other intelligent tasks.

    With its subsidiaries and a strong network of distribution, the company has its presence in various regions such as North America, Europe, Asia- Pacific, Latin America, and Middle East & Africa. Intel Corporation has more than 150 locations around the globe with assembly and test facilities in China, Costa Rica, Malaysia, and Vietnam. The major subsidiaries of Intel Corporation are Altera, Mobileye, Nervana Systems, Wind River, eASIC Corporation, and many more.

    Microsoft Corporation

    Founded in 1975, and headquartered at Redmond, Washington, U.S.; Microsoft Corporation is one of the leading technology providers globally. The company mainly offers software products primarily comprising Internet Explorer, Microsoft Windows OS, Microsoft Office Suite, and Edge Web browsers. Its leading hardware products are the Microsoft Surface lineup of touchscreen individual computers and Xbox video game consoles. Microsoft Corporation helps retailers deliver fully integrated technology solutions that bring retailers, shoppers and manufacturers into a common platform. Microsoft Corporation offers Dynamics 365 Retail that provides simplified retail operations, comprehensive omnichannel commerce across e-Commerce, in-store and optimize supply chain.

    With its subsidiaries and strong distribution network, the company has its presence across North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. The major subsidiaries of the company include Double Fine Productions, GitHub, Semantic Machines, Mojang, Skype, LinkedIn Corporation and others.


    Nvidia Corporation

    Founded in 1993, and headquartered at Santa Clara, California, U.S.; Nvidia Corporation commonly referred to as Nvidia is an American technology company that designs graphics processing units (GPUs) for the gaming and professional markets, as well as system on chip units (SoCs) for the mobile computing and automotive market. Nvidia Corporation offers retailers AI-powered solutions to navigate the next wave of smart retail. With intelligent video analytics (IVA), AI-powered inventory management, and customer and store analytics, retailers are able to deliver better customer experiences. In addition, using existing camera systems, retailers can install Nvidia IVA applications from NVIDIA software partners to improve loss prevention and significantly reduce shrinkage.

    With its subsidiaries and strong distribution network, the company has its presence across North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. The major subsidiaries of the company include PGI Compilers & Tools, Icera, ULi Electronics Inc, ModViz, Inc., and others.

    Oracle Corporation

    Founded in 1977 and headquartered at Redwood Shores, California, U.S.; Oracle Corporation develops and builds tools for database management and systems of middle-tier software, enterprise resource planning (ERP) software, customer relationship management (CRM) software, and supply chain management (SCM) software. The company offers an integrated suite of Oracle Retail Cloud services with embedded machine learning and AI technologies. With Oracle Retail Merchandising suite, retailers can simplify inventory management in a global omnichannel environment and inspire business users.

    With its subsidiaries and a strong network of distribution, the company has its presence in North America, Europe, Asia-Pacific, and Middle East & Africa. The major subsidiaries of the company include NetSuite, Taleo, BlueKai, Dyn, Responsys, Textura Corporation, and others.

    SAP SE

    Founded in 1847, and headquartered in Walldorf, Germany; SAP SE is the market leader in enterprise application software, helping companies of all sizes by providing machine learning, internet of things (IoT), and advanced analytics technologies to help them turn customers’ businesses into intelligent enterprises. SAP SE provides an integrated suite of applications, intelligent technologies, and a digital platform for retailers to pursue innovative business models and deliver relevant personalized customer experiences. SAP SE offers many applications and platforms such as SAP S/4HANA, SAP Customer Activity Repository for merchandise management. This provides insights into operational retail data and provide users with contextual, real-time information using a simple user interface.

    With its subsidiaries and a strong network of distribution, the company has its presence in various regions such as North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. The major subsidiaries of SAP SE are SuccesFactors (U.S.), Qualtrics (U.S.), SAP Concur (U.S.), and more.

    BloomReach, Inc.

    Founded in 2009 and headquartered at Mountain View, California, U.S.; BloomReach, Inc. is a software provider that empowers businesses to deliver a seamless and personalized experience to their customers. BloomReach, Inc. offers AI-driven search and merchandising tools, next-gen content management system, and digital experience platform architecture for its customers. In addition, the company has created the world’s first open and intelligent Digital Experience Platform (DXP) to accelerate the path to conversion, increase revenue, and generate customer loyalty for global brands such as Staples, Gues and Weleda.

    With its subsidiaries and a strong network of distribution, the company has its presence in North America, Europe, and Asia-Pacific. Two of the major subsidiaries of the company include Hippo B.V. and ShopLogic, Inc.

    Salesforce.com, Inc.

    Founded in 1999, and headquartered in San Francisco, California, U.S.; Salesforce.com, Inc. is an American cloud-based software company offering social enterprise software-as-a-service (SaaS) focused complementary suite of enterprise applications comprising customer services, marketing automation, analytics and application development. Salesforce.com, Inc. connects sales associates, partners, and employees with the key information they need to provide the right products and the kind of services to customers.

    Salesforce.com, Inc. is best known for its salesforce customer relationship management (CRM) product that helps enterprises to build personalized customer experiences across all channels. Salesforce CRM for retail helps retailers to keep customers’ needs top of mind, listening to what they want, and responding instantly. Salesforce.com, Inc. offers solutions such as Intelligent Advertising, 1-To-1 Journeys, Unified Commerce and many others. The solutions are designed to enable display, search, and social advertising from a single integrated platform.

    With its subsidiaries and strong distribution network, the company has its presence across North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. Some of the key subsidiaries of the company include Tableau Software, Pardot, MuleSoft, Heroku, Salesforce Marketing Cloud, Datorama Inc., and others.

     

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