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    Artificial Intelligence In Retail Market Analysis

    ID: MRFR/ICT/3574-HCR
    200 Pages
    Aarti Dhapte
    October 2025

    Artificial Intelligence in Retail Market Research Report By Application (Customer Service, Inventory Management, Sales and Marketing, Fraud Detection, Supply Chain Optimization), By Deployment Mode (Cloud-Based, On-Premises, Hybrid), By Technology (Machine Learning, Natural Language Processing, Computer Vision, Robotic Process Automation), By End Use (E-commerce, Brick-and-Mortar Stores, Wholes...

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    Summary Table of Contents Segmentation Download PDF

    Market Analysis

    In-depth Analysis of Artificial Intelligence In Retail Market Industry Landscape

    Artificial Intelligence (AI) in the retail industry is undergoing a revolutionary change in the way firms function and interact with their clientele. Customer experiences that are personalized are a major factor in this dynamic. With the use of artificial intelligence (AI), merchants can now evaluate enormous volumes of consumer data, such as preferences, past purchases, and online activity, in order to provide tailored product suggestions and focused marketing campaigns. The retail scene is becoming more customer-centric as a result of this customization, which not only raises consumer pleasure but also boosts sales and customer loyalty.

    Another important market aspect is the use of AI-powered solutions in supply chain optimization and inventory management. Retailers are using artificial intelligence (AI) algorithms to estimate demand, effectively manage inventory levels, and optimize supply chain processes. AI lowers costs, increases operational efficiency, and guarantees that businesses can quickly satisfy customer expectations by eliminating stockouts and overstock situations. This dynamic helps to create a retail ecosystem that is more flexible and adaptable, enabling companies to adjust to changes in the market and improve their supply chains.

    AI-driven automation is changing the retail business in many ways, including backend operations and customer service. AI-powered chatbots and virtual assistants are being used to answer questions from customers in a timely and accurate manner. Optimizing operational efficiency and resource allocation may be achieved via automating backend tasks like data input and order processing. This dynamic improves the overall speed and precision of retail processes while also lessening the workload for human personnel. The emergence of omnichannel experiences is being aided by the incorporation of AI in the retail sector.

    Retailers may integrate consumer interactions across several channels—online, mobile, and in-store—by using artificial intelligence (AI). Through the examination of consumer information from several channels, merchants may design a smooth and uniform purchasing journey. In addition to increasing customer pleasure, this omnichannel strategy gives merchants a thorough grasp of consumer behavior and preferences, enabling more focused marketing and sales tactics.

    Market Summary

    As per Market Research Future analysis, the Artificial Intelligence in Retail Market Size was estimated at 8.92 (USD Billion) in 2023.The Artificial Intelligence in Retail Market Industry is expected to grow from 10.21(USD Billion) in 2024 to 45 (USD Billion) by 2035. The Artificial Intelligence in Retail Market CAGR (growth rate) is expected to be around 14.44% during the forecast period (2025 - 2035). The market is driven by the increasing demand for personalized shopping experiences and operational efficiency through AI-driven automation.

    Key Market Trends & Highlights

    Key trends shaping the Artificial Intelligence in Retail Market include advancements in technology and changing consumer expectations.

    • Artificial Intelligence in Retail Market expected to grow from USD 10.21 Billion in 2024 toUSD 45.0 Billion by 2035. Inventory Management segment projected to rise from 1.9 USD Billion in 2024 to 8.42 USD Billion by 2035. Sales and Marketing application to increase from 2.5 USD Billion in 2024 to 11.15 USD Billion by 2035. North America to dominate the market with a valuation of 4.85 USD Billion in 2024, reaching 20.0 USD Billion by 2035.

    Market Size & Forecast

    2024 Market Size USD 8.13 Billion
    2035 Market Size USD 76.96 Billion
    CAGR (2025-2035) 22.67%
    Largest Regional Market Share in 2024 North America.

    Major Players

    <p>Key players include Amazon, IBM, NVIDIA, SAP, ThoughtSpot, Salesforce, Adobe, C3.ai, Blue Yonder, Dynatrace, Google, SAS, Microsoft, Zebra Technologies, Oracle.</p>

    Market Trends

    The Artificial Intelligence in Retail Market is seeing many important market trends as a result of technical improvements and shifting customer habits. One of the primary reasons is the growing need for personalized shopping experiences, as merchants use AI systems to evaluate consumer data and tailor products. Furthermore, the increasing emphasis on cost effectiveness and operational optimization via AI solutions such as supply chain management and inventory forecasting is changing the way shops operate. This transition not only improves consumer pleasure but also lowers costs, encouraging more merchants to implement AI technology.

    <p>The integration of artificial intelligence in retail is poised to transform consumer experiences by enhancing personalization and<a href="https://www.marketresearchfuture.com/reports/operational-intelligence-market-5873"> operational efficiency</a>, thereby reshaping the competitive landscape.</p>

    U.S. Department of Commerce

    Artificial Intelligence In Retail Market Market Drivers

    Market Growth Projections

    The Global Artificial Intelligence in Retail Market Industry is poised for substantial growth, with projections indicating a market size of 10.2 USD Billion in 2024 and an anticipated increase to 45 USD Billion by 2035. This growth is underpinned by a compound annual growth rate (CAGR) of 14.44% from 2025 to 2035, reflecting the increasing adoption of AI technologies across the retail sector. As retailers continue to invest in AI-driven solutions, the market is expected to expand significantly, driven by innovations that enhance customer experiences and operational efficiencies.

    Data-Driven Decision Making

    The integration of artificial intelligence in retail facilitates data-driven decision making, a crucial driver in the Global Artificial Intelligence in Retail Market Industry. Retailers are increasingly relying on AI analytics to interpret vast amounts of consumer data, enabling them to make informed decisions regarding product offerings, pricing strategies, and marketing initiatives. This reliance on data analytics is expected to enhance competitiveness and responsiveness to market trends. The market's growth trajectory, with a projected CAGR of 14.44% from 2025 to 2035, underscores the importance of data-driven strategies in shaping the future of retail.

    Improved Customer Insights and Engagement

    AI technologies are enhancing customer insights and engagement within the Global Artificial Intelligence in Retail Market Industry. By utilizing machine learning algorithms, retailers can analyze customer behavior patterns and preferences, leading to more effective engagement strategies. For instance, predictive analytics can forecast trends and consumer needs, allowing retailers to adjust their offerings proactively. This capability not only fosters customer loyalty but also drives sales growth. As the market evolves, the ability to harness customer insights through AI will likely become a key differentiator for retailers, contributing to the overall expansion of the industry.

    Adoption of Omnichannel Retailing Strategies

    The shift towards omnichannel retailing is a significant driver in the Global Artificial Intelligence in Retail Market Industry. Retailers are increasingly integrating online and offline channels to provide a seamless shopping experience. AI plays a pivotal role in this integration by enabling real-time inventory tracking and personalized marketing across various platforms. For example, retailers can use AI to analyze customer interactions across channels, ensuring consistent messaging and service quality. This trend is expected to bolster market growth, as businesses that successfully implement omnichannel strategies are likely to see increased customer retention and sales.

    Enhanced Operational Efficiency through Automation

    Automation powered by artificial intelligence is revolutionizing operational efficiency within the Global Artificial Intelligence in Retail Market Industry. Retailers are adopting AI-driven solutions to streamline inventory management, supply chain logistics, and customer service. For example, chatbots and virtual assistants are being deployed to handle customer inquiries, reducing response times and operational costs. This automation not only improves service delivery but also allows human resources to focus on more strategic tasks. As a result, the market is anticipated to grow substantially, with projections indicating a rise to 45 USD Billion by 2035, showcasing the potential of AI in enhancing operational workflows.

    Growing Demand for Personalized Shopping Experiences

    The Global Artificial Intelligence in Retail Market Industry is witnessing a growing demand for personalized shopping experiences, driven by consumers' expectations for tailored recommendations and services. Retailers are increasingly leveraging AI algorithms to analyze customer data, enabling them to deliver personalized product suggestions and targeted marketing campaigns. For instance, companies like Amazon utilize AI to enhance user experience, resulting in higher customer satisfaction and loyalty. This trend is projected to contribute to the market's growth, with the industry expected to reach 10.2 USD Billion in 2024, reflecting a significant shift towards customer-centric retail strategies.

    Market Segment Insights

    Artificial Intelligence in Retail Market Segment Insights

    <p>Artificial Intelligence in Retail Market Segment Insights</p>

    Artificial Intelligence in Retail Market Application Insights  

    <p>Artificial Intelligence in Retail Market Application Insights&nbsp;&nbsp;</p>

    <p>The Artificial Intelligence in Retail Market has seen substantial advancements across its various applications, fundamentally transforming operational efficiency and customer engagement in the retail sector. By 2024, the market is expected to be valued at approximately 10.21 USD Billion, reflecting the growing investment in AI technologies. Key applications within this market include Customer Service, Inventory Management, <a href="https://www.marketresearchfuture.com/reports/sales-performance-management-market-7476">Sales and Marketing</a>, Fraud Detection, and Supply Chain Optimization, each playing a vital role in enhancing the retail experience.</p>

    <p>The Customer Service application is projected to be valued at 2.54 USD Billion in 2024 and is expected to grow to 11.3 USD Billion by 2035, dominating the market with personalized shopping experiences and improved customer interaction. The significance of this application lies in AI-driven chatbots and virtual assistants that optimize customer support and engagement, ultimately fostering customer loyalty. Inventory Management is another essential component of this market, currently valued at 1.97 USD Billion in 2024 and anticipated to reach 8.81 USD Billion in 2035.</p>

    <p>Sales and Marketing applications are also gaining traction, with a valuation of 2.92 USD Billion in 2024, expected to rise to 12.83 USD Billion in 2035. AI technologies assist in targeting marketing campaigns and analytics, providing retailers with crucial data to enhance customer acquisition strategies. These insights can refine promotional efforts, ensuring they align closely with consumer behavior and preferences. <a href="https://www.marketresearchfuture.com/reports/fraud-detection-prevention-market-2985">Fraud Detection</a> stands at a valuation of 1.56 USD Billion in 2024, projected to reach 6.96 USD Billion by 2035. AI's capabilities in identifying unusual transactions and patterns become indispensable for minimizing losses and safeguarding both retailers and consumers.</p>

    <p>Finally, <a href="https://www.marketresearchfuture.com/reports/commodity-supply-chain-management-solution-market-26483">Supply Chain Optimization</a> is valued at 1.22 USD Billion in 2024 and is expected to grow to 5.1 USD Billion by 2035. By utilizing predictive analytics, this application enhances delivery accuracy, reduces supply chain bottlenecks, and ultimately contributes to a more resilient retail environment. Each application segment collectively reinforces the Artificial Intelligence in Retail Market, underlining a significant shift towards data-driven decision-making that enhances customer satisfaction and operational effectiveness across the board.</p>

    <p>Source: Primary Research, Secondary Research, Market Research Future Database and Analyst Review</p>

    Artificial Intelligence in Retail Market Deployment Mode Insights  

    <p>Artificial Intelligence in Retail Market Deployment Mode Insights&nbsp;&nbsp;</p>

    <p>The Artificial Intelligence in Retail Market's Deployment Mode segment plays a critical role in shaping the industry's landscape, contributing significantly to the market's overall growth and value. By 2024, the market is poised to achieve a valuation of 10.21 USD Billion, expanding to a projected 45.0 USD Billion by 2035. Within this segment, the trend towards Cloud-Based solutions is notable, as businesses increasingly prefer flexibility and scalability, enabling them to adopt AI technologies with ease.</p>

    <p>On-Premises deployment, while traditionally preferred for security concerns, faces growing competition from Cloud-Based models.The Hybrid approach combines the strengths of both Cloud and On-Premises solutions, allowing retailers to manage sensitive information securely while taking advantage of cloud flexibility. The Artificial Intelligence in Retail Market statistics indicate that retail organizations are investing in AI to enhance customer experiences and streamline operations.</p>

    Artificial Intelligence in Retail Market Technology Insights  

    <p>Artificial Intelligence in Retail Market Technology Insights&nbsp;&nbsp;</p>

    <p>The Artificial Intelligence in Retail Market segment focusing on Technology is experiencing substantial growth, with the total market expected to reach 10.21 USD Billion by 2024. By 2035, this figure is projected to increase to 45.0 USD Billion, driven by the increasing integration of AI technologies in retail operations. Machine Learning occupies a significant role in transforming retail practices by analyzing large datasets to predict consumer behavior and optimize inventory management.</p>

    <p>Natural Language Processing enhances customer interactions through chatbots and personalized recommendations, making shopping more intuitive.Computer Vision is crucial for automating processes in stores, including inventory tracking and checkout systems, improving efficiency and accuracy. Robotic Process Automation streamlines repetitive tasks, allowing retailers to focus on strategic decisions. The Artificial Intelligence in Retail Market data reveal that these technologies are essential for adapting to market trends and challenges, such as changing consumer preferences and competitive pressures, positioning retailers to capitalize on emerging opportunities and enhance overall customer experience.</p>

    Artificial Intelligence in Retail Market End Use Insights  

    <p>Artificial Intelligence in Retail Market End Use Insights&nbsp;&nbsp;</p>

    <p>The Artificial Intelligence in Retail Market has shown significant growth, with expectations of reaching a valuation of 10.21 billion USD by 2024 and further increasing substantially to 45.0 billion USD by 2035. This market encompasses various End Use categories, including E-commerce, Brick-and-Mortar Stores, Wholesale, and Distribution, which highlight the diverse applications of AI technologies. E-commerce has emerged as a vital segment, driving demand through tailored customer experiences and enhanced personalized recommendations, keeping pace with changing consumer behaviors.Meanwhile, Brick-and-Mortar Stores leverage AI for inventory management, improving operational efficiency, and providing in-store customer engagement, which is crucial in creating a competitive edge.</p>

    <p>The Wholesale and Distribution sector benefits from AI by automating supply chain processes, ensuring optimal stock levels, and reducing costs, which are key factors in a globalized economy. Together, these segments contribute to a well-rounded understanding of the Artificial Intelligence in Retail Market revenue and showcase powerful opportunities and market growth drivers amidst challenges such as technological integration and data privacy concerns, ultimately shaping the future of retail on a global scale.</p>

    Get more detailed insights about Artificial Intelligence in Retail Market Research Report - Global Forecast to 2035

    Regional Insights

    The Artificial Intelligence in Retail Market exhibits notable regional segmentation, highlighting varying levels of adoption and investment across different areas. In 2024, North America emerges as the dominant region with a valuation of 4.08 USD Billion, projected to reach 18.0 USD Billion by 2035, indicating its majority holding in the market. This growth is propelled by advanced technology infrastructure and increasing consumer demand for personalized services.

    Europe follows with a market value of 2.74 USD Billion in 2024 and an estimated growth to 12.0 USD Billion by 2035, driven by strong retail sector innovation and regulatory support.The Asia Pacific region, valued at 2.72 USD Billion in 2024 and expected to grow to 10.2 USD Billion by 2035, is also significant due to rapid urbanization and a burgeoning e-commerce sector.

    South America and the Middle East and Africa, albeit smaller in valuation, have growth potential with figures of 0.52 USD Billion and 0.15 USD Billion, respectively, in 2024, rising to 2.5 USD Billion and 2.3 USD Billion by 2035. These markets represent emerging opportunities for artificial intelligence in retail, addressing unique regional demands and fostering technological advancements.Overall, the Artificial Intelligence in Retail Market segmentation underscores profound trends in technology adoption, economic growth, and consumer behavior across diverse regions.

    Artificial Intelligence in Retail Market Regional Insights

    Source: Primary Research, Secondary Research, Market Research Future Database and Analyst Review

    Key Players and Competitive Insights

    The Artificial Intelligence in Retail Market is experiencing significant growth as retailers leverage advanced technologies to enhance customer experiences, streamline operations, and develop personalized marketing strategies. This burgeoning market is rife with competitive dynamics as businesses seek to differentiate themselves through innovative solutions powered by artificial intelligence. Companies in this space are increasingly investing in machine learning, data analytics, and automation technologies to drive efficiency and improve decision-making processes. As the industry evolves, insights into the competitive landscape become crucial for understanding market trends, emerging players, and opportunities for growth.

    The adoption of AI is being propelled by the need for retailers to respond to changing consumer behaviors and preferences, paving the way for fierce competition among market participants.Shopify has established a strong foothold in the Artificial Intelligence in Retail Market by providing a robust e-commerce platform that integrates AI-driven tools to empower retailers of all sizes. The company's strengths lie in its user-friendly interface, seamless integrations with third-party applications, and emphasis on customer support, making it an attractive option for businesses looking to harness the power of AI.

    Shopify's capabilities include AI-enhanced customer insights, automated inventory management, and personalized product recommendations, which enable retailers to enhance overall efficiency and drive sales. The company's widespread presence across various regions facilitates its role as a key player in advancing AI solutions within the retail sector. Moreover, its ecosystem approach allows partners to contribute additional services, creating a rich environment that fosters innovation and collaboration.Oracle, as a major entity in the Artificial Intelligence in Retail Market, offers a comprehensive suite of AI-based solutions tailored for retail operations.

    Known for its cloud-based services, Oracle delivers tools that optimize inventory management, enhance customer engagement, and enable predictive analytics. The strength of Oracle lies in its extensive product portfolio, combining advanced data capabilities and machine learning technologies to meet the dynamic needs of retailers worldwide. The company has developed key products, such as its Retail Cloud and Customer Experience platforms, which streamline processes and improve decision-making. Oracle's strategic initiatives, including acquisitions aimed at augmenting its AI capabilities, have fortified its market presence and positioned it as a leader in the sector.

    These efforts, coupled with a focus on continuous innovation, solidify Oracle's significance in shaping the future of AI applications in retail on a global scale.

    Key Companies in the Artificial Intelligence In Retail Market market include

    Industry Developments

    The Artificial Intelligence in Retail Market has seen significant developments recently, with numerous companies enhancing their offerings. Shopify, Oracle, Microsoft, and Amazon are increasingly integrating AI-driven solutions to optimize customer experiences and streamline supply chains. In August 2023, NVIDIA announced an expansion of its AI services tailored for retail, which is projected to enhance inventory management and customer interaction. Additionally, IBM's partnership with Fractal Analytics aims to leverage AI for predictive analytics in retail. Notably, Oracle completed its acquisition of a leading AI startup in July 2023, further strengthening its capabilities in retail analytics.

    Alibaba and Google have also made strides by adopting machine learning for personalized marketing, showcasing a commitment to sophisticated retail technologies. The market’s growth trajectory is notable, with reports indicating that the segment is expected to surpass USD 30 billion by 2025, driven by heightened demand for AI solutions. In past years, developments such as the launch of Amazon Go in December 2016 revolutionized the retail space, and ongoing advancements reflect a robust commitment to integrating AI across the sector for enhanced operational efficiency and customer engagement.

     

    Future Outlook

    Artificial Intelligence In Retail Market Future Outlook

    <p>The Artificial Intelligence in Retail Market is projected to grow at a 22.67% CAGR from 2025 to 2035, driven by enhanced customer personalization, operational efficiency, and advanced analytics capabilities.</p>

    New opportunities lie in:

    • <p>Implement AI-driven inventory management systems to optimize stock levels and reduce waste. Leverage predictive analytics for personalized marketing strategies to enhance customer engagement. Adopt AI-powered chatbots for improved customer service and streamlined communication.</p>

    <p>By 2035, the market is expected to be a cornerstone of retail innovation and operational excellence.</p>

    Market Segmentation

    Artificial Intelligence in Retail Market End Use Outlook

    • E-commerce
    • Brick-and-Mortar Stores
    • Wholesale and Distribution

    Artificial Intelligence in Retail Market Regional Outlook

    • North America
    • Europe
    • South America
    • Asia Pacific
    • Middle East and Africa

    Artificial Intelligence in Retail Market Technology Outlook

    • Machine Learning
    • Natural Language Processing
    • Computer Vision
    • Robotic Process Automation

    Artificial Intelligence in Retail Market Application Outlook

    • Customer Service
    • Inventory Management
    • Sales and Marketing
    • Fraud Detection
    • Supply Chain Optimization

    Artificial Intelligence in Retail Market Deployment Mode Outlook

    • Cloud-Based
    • On-Premises
    • Hybrid

    Report Scope

    Report Attribute/MetricDetails
    Market Size 202410.21(USD Billion)
    Market Size 203576.96 (USD Billion)
    Compound Annual Growth Rate (CAGR)22.67% (2025 - 2035)
    Report CoverageRevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    Base Year2024
    Market Forecast Period2025 - 2035
    Historical Data2019 - 2024
    Market Forecast UnitsUSD Billion
    Key Companies ProfiledShopify, Oracle, Microsoft, NVIDIA, Fractal Analytics, IBM, Alibaba, Google, Lightwave, Cognex, Zebra Technologies, SAP, Salesforce, Sensory, Amazon
    Segments CoveredApplication, Deployment Mode, Technology, End Use, Regional
    Key Market OpportunitiesPersonalized customer experiences, Inventory management optimization, Predictive analytics for sales, Enhanced supply chain efficiency, Chatbots for customer support
    Key Market Dynamicspersonalized customer experiences, inventory management optimization, predictive analytics utilization, enhanced fraud detection, automated supply chain operations
    Countries CoveredNorth America, Europe, APAC, South America, MEA
    Market Size 20259.97 (USD Billion)

    Market Highlights

    Author

    Aarti Dhapte
    Team Lead - Research

    She holds an experience of about 6+ years in market research and business consulting, working under the spectrum of information communication technology, telecommunications and semiconductor domains. aarti conceptualizes and implements a scalable business strategy and provides strategic leadership to the clients. her expertise lies in market estimation, competitive intelligence, pipeline analysis, customer assessment, etc.

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    FAQs

    What was the market size of the Artificial Intelligence in Retail Market by 2035?

    The Artificial Intelligence in Retail Market was valued at 45.0 USD Billion by 2035.

    What is the expected CAGR of the Artificial Intelligence in Retail Market from 2025 to 2035?

    The market is anticipated to grow at a CAGR of 14.44% from 2025 to 2035.

    Which region is anticipated to hold the largest market share in the Artificial Intelligence in Retail Market by 2035?

    North America is projected to dominate the market with a valuation of 18.0 USD Billion by 2035.

    What is the market value of the Customer Service application in 2024 within the Artificial Intelligence in Retail Market?

    The Customer Service application is valued at 2.54 USD Billion in 2024.

    Who are the major players in the Artificial Intelligence in Retail Market?

    Prominent players include Shopify, Oracle, Microsoft, NVIDIA, and IBM.

    What is the market value for Inventory Management in 2035?

    The Inventory Management segment is expected to reach 8.81 USD Billion in 2035.

    How much is the Fraud Detection application expected to be valued in 2035?

    The Fraud Detection application is projected to be valued at 6.96 USD Billion by 2035.

    What is the overall market value for the Artificial Intelligence in Retail Market in 2024?

    The market was valued at 10.21 USD Billion in 2024.

    What is the projected market value for South America by 2035?

    South America's market value is expected to reach 2.5 USD Billion in 2035.

    What is the market size for Sales and Marketing applications in 2024?

    Sales and Marketing applications are valued at 2.92 USD Billion in 2024.

    1. Table of Contents
    2. EXECUTIVE SUMMARY
    3. Market Overview
    4. Key Findings
    5. Market Segmentation
    6. Competitive Landscape
    7. Challenges and Opportunities
    8. Future Outlook
    9. MARKET INTRODUCTION
    10. Definition
    11. Scope of the study
    12. Research Objective
    13. Assumption
    14. Limitations
    15. RESEARCH METHODOLOGY
    16. Overview
    17. Data Mining
    18. Secondary Research
    19. Primary Research
    20. Primary Interviews and Information Gathering Process
    21. Breakdown of Primary Respondents
    22. Forecasting Model
    23. Market Size Estimation
    24. Bottom-Up Approach
    25. Top-Down Approach
    26. Data Triangulation
    27. Validation
    28. MARKET DYNAMICS
    29. Overview
    30. Drivers
    31. Restraints
    32. Opportunities
    33. MARKET FACTOR ANALYSIS
    34. Value chain Analysis
    35. Porter's Five Forces Analysis
    36. Bargaining Power of Suppliers
    37. Bargaining Power of Buyers
    38. Threat of New Entrants
    39. Threat of Substitutes
    40. Intensity of Rivalry
    41. COVID-19 Impact Analysis
    42. Market Impact Analysis
    43. Regional Impact
    44. Opportunity and Threat Analysis
    45. Artificial Intelligence in Retail Market, BY Application (USD Billion)
    46. Customer Service
    47. Inventory Management
    48. Sales and Marketing
    49. Fraud Detection
    50. Supply Chain Optimization
    51. Artificial Intelligence in Retail Market, BY Deployment Mode (USD Billion)
    52. Cloud-Based
    53. On-Premises
    54. Hybrid
    55. Artificial Intelligence in Retail Market, BY Technology (USD Billion)
    56. Machine Learning
    57. Natural Language Processing
    58. Computer Vision
    59. Robotic Process Automation
    60. Artificial Intelligence in Retail Market, BY End Use (USD Billion)
    61. E-commerce
    62. Brick-and-Mortar Stores
    63. Wholesale and Distribution
    64. Artificial Intelligence in Retail Market, BY Regional (USD Billion)
    65. North America
    66. US
    67. Canada
    68. Europe
    69. Germany
    70. UK
    71. France
    72. Russia
    73. Italy
    74. Spain
    75. Rest of Europe
    76. APAC
    77. China
    78. India
    79. Japan
    80. South Korea
    81. Malaysia
    82. Thailand
    83. Indonesia
    84. Rest of APAC
    85. South America
    86. Brazil
    87. Mexico
    88. Argentina
    89. Rest of South America
    90. MEA
    91. GCC Countries
    92. South Africa
    93. Rest of MEA
    94. Competitive Landscape
    95. Overview
    96. Competitive Analysis
    97. Market share Analysis
    98. Major Growth Strategy in the Artificial Intelligence in Retail Market
    99. Competitive Benchmarking
    100. Leading Players in Terms of Number of Developments in the Artificial Intelligence in Retail Market
    101. Key developments and growth strategies
    102. New Product Launch/Service Deployment
    103. Merger & Acquisitions
    104. Joint Ventures
    105. Major Players Financial Matrix
    106. Sales and Operating Income
    107. Major Players R&D Expenditure. 2023
    108. Company Profiles
    109. Amazon
    110. Financial Overview
    111. Products Offered
    112. Key Developments
    113. SWOT Analysis
    114. Key Strategies
    115. IBM
    116. Financial Overview
    117. Products Offered
    118. Key Developments
    119. SWOT Analysis
    120. Key Strategies
    121. NVIDIA
    122. Financial Overview
    123. Products Offered
    124. Key Developments
    125. SWOT Analysis
    126. Key Strategies
    127. SAP
    128. Financial Overview
    129. Products Offered
    130. Key Developments
    131. SWOT Analysis
    132. Key Strategies
    133. ThoughtSpot
    134. Financial Overview
    135. Products Offered
    136. Key Developments
    137. SWOT Analysis
    138. Key Strategies
    139. Salesforce
    140. Financial Overview
    141. Products Offered
    142. Key Developments
    143. SWOT Analysis
    144. Key Strategies
    145. Adobe
    146. Financial Overview
    147. Products Offered
    148. Key Developments
    149. SWOT Analysis
    150. Key Strategies
    151. C3.ai
    152. Financial Overview
    153. Products Offered
    154. Key Developments
    155. SWOT Analysis
    156. Key Strategies
    157. Blue Yonder
    158. Financial Overview
    159. Products Offered
    160. Key Developments
    161. SWOT Analysis
    162. Key Strategies
    163. Dynatrace
    164. Financial Overview
    165. Products Offered
    166. Key Developments
    167. SWOT Analysis
    168. Key Strategies
    169. Google
    170. Financial Overview
    171. Products Offered
    172. Key Developments
    173. SWOT Analysis
    174. Key Strategies
    175. SAS
    176. Financial Overview
    177. Products Offered
    178. Key Developments
    179. SWOT Analysis
    180. Key Strategies
    181. Microsoft
    182. Financial Overview
    183. Products Offered
    184. Key Developments
    185. SWOT Analysis
    186. Key Strategies
    187. Zebra Technologies
    188. Financial Overview
    189. Products Offered
    190. Key Developments
    191. SWOT Analysis
    192. Key Strategies
    193. Oracle
    194. Financial Overview
    195. Products Offered
    196. Key Developments
    197. SWOT Analysis
    198. Key Strategies
    199. Appendix
    200. References
    201. Related Reports

    Artificial Intelligence in Retail Market Segmentation

     

    Artificial Intelligence in Retail Market By Application (USD Billion, 2019-2035)

    Customer Service

    Inventory Management

    Sales and Marketing

    Fraud Detection

    Supply Chain Optimization

     

    Artificial Intelligence in Retail Market By Deployment Mode (USD Billion, 2019-2035)

    Cloud-Based

    On-Premises

    Hybrid

     

    Artificial Intelligence in Retail Market By Technology (USD Billion, 2019-2035)

    Machine Learning

    Natural Language Processing

    Computer Vision

    Robotic Process Automation

     

    Artificial Intelligence in Retail Market By End Use (USD Billion, 2019-2035)

    E-commerce

    Brick-and-Mortar Stores

    Wholesale and Distribution

     

    Artificial Intelligence in Retail Market By Regional (USD Billion, 2019-2035)

    North America

    Europe

    South America

    Asia Pacific

    Middle East and Africa

     

    Artificial Intelligence in Retail Market Regional Outlook (USD Billion, 2019-2035)

     

     

    North America Outlook (USD Billion, 2019-2035)

    North America Artificial Intelligence in Retail Market by Application Type

    Customer Service

    Inventory Management

    Sales and Marketing

    Fraud Detection

    Supply Chain Optimization

    North America Artificial Intelligence in Retail Market by Deployment Mode Type

    Cloud-Based

    On-Premises

    Hybrid

    North America Artificial Intelligence in Retail Market by Technology Type

    Machine Learning

    Natural Language Processing

    Computer Vision

    Robotic Process Automation

    North America Artificial Intelligence in Retail Market by End Use Type

    E-commerce

    Brick-and-Mortar Stores

    Wholesale and Distribution

    North America Artificial Intelligence in Retail Market by Regional Type

    US

    Canada

    US Outlook (USD Billion, 2019-2035)

    US Artificial Intelligence in Retail Market by Application Type

    Customer Service

    Inventory Management

    Sales and Marketing

    Fraud Detection

    Supply Chain Optimization

    US Artificial Intelligence in Retail Market by Deployment Mode Type

    Cloud-Based

    On-Premises

    Hybrid

    US Artificial Intelligence in Retail Market by Technology Type

    Machine Learning

    Natural Language Processing

    Computer Vision

    Robotic Process Automation

    US Artificial Intelligence in Retail Market by End Use Type

    E-commerce

    Brick-and-Mortar Stores

    Wholesale and Distribution

    CANADA Outlook (USD Billion, 2019-2035)

    CANADA Artificial Intelligence in Retail Market by Application Type

    Customer Service

    Inventory Management

    Sales and Marketing

    Fraud Detection

    Supply Chain Optimization

    CANADA Artificial Intelligence in Retail Market by Deployment Mode Type

    Cloud-Based

    On-Premises

    Hybrid

    CANADA Artificial Intelligence in Retail Market by Technology Type

    Machine Learning

    Natural Language Processing

    Computer Vision

    Robotic Process Automation

    CANADA Artificial Intelligence in Retail Market by End Use Type

    E-commerce

    Brick-and-Mortar Stores

    Wholesale and Distribution

    Europe Outlook (USD Billion, 2019-2035)

    Europe Artificial Intelligence in Retail Market by Application Type

    Customer Service

    Inventory Management

    Sales and Marketing

    Fraud Detection

    Supply Chain Optimization

    Europe Artificial Intelligence in Retail Market by Deployment Mode Type

    Cloud-Based

    On-Premises

    Hybrid

    Europe Artificial Intelligence in Retail Market by Technology Type

    Machine Learning

    Natural Language Processing

    Computer Vision

    Robotic Process Automation

    Europe Artificial Intelligence in Retail Market by End Use Type

    E-commerce

    Brick-and-Mortar Stores

    Wholesale and Distribution

    Europe Artificial Intelligence in Retail Market by Regional Type

    Germany

    UK

    France

    Russia

    Italy

    Spain

    Rest of Europe

    GERMANY Outlook (USD Billion, 2019-2035)

    GERMANY Artificial Intelligence in Retail Market by Application Type

    Customer Service

    Inventory Management

    Sales and Marketing

    Fraud Detection

    Supply Chain Optimization

    GERMANY Artificial Intelligence in Retail Market by Deployment Mode Type

    Cloud-Based

    On-Premises

    Hybrid

    GERMANY Artificial Intelligence in Retail Market by Technology Type

    Machine Learning

    Natural Language Processing

    Computer Vision

    Robotic Process Automation

    GERMANY Artificial Intelligence in Retail Market by End Use Type

    E-commerce

    Brick-and-Mortar Stores

    Wholesale and Distribution

    UK Outlook (USD Billion, 2019-2035)

    UK Artificial Intelligence in Retail Market by Application Type

    Customer Service

    Inventory Management

    Sales and Marketing

    Fraud Detection

    Supply Chain Optimization

    UK Artificial Intelligence in Retail Market by Deployment Mode Type

    Cloud-Based

    On-Premises

    Hybrid

    UK Artificial Intelligence in Retail Market by Technology Type

    Machine Learning

    Natural Language Processing

    Computer Vision

    Robotic Process Automation

    UK Artificial Intelligence in Retail Market by End Use Type

    E-commerce

    Brick-and-Mortar Stores

    Wholesale and Distribution

    FRANCE Outlook (USD Billion, 2019-2035)

    FRANCE Artificial Intelligence in Retail Market by Application Type

    Customer Service

    Inventory Management

    Sales and Marketing

    Fraud Detection

    Supply Chain Optimization

    FRANCE Artificial Intelligence in Retail Market by Deployment Mode Type

    Cloud-Based

    On-Premises

    Hybrid

    FRANCE Artificial Intelligence in Retail Market by Technology Type

    Machine Learning

    Natural Language Processing

    Computer Vision

    Robotic Process Automation

    FRANCE Artificial Intelligence in Retail Market by End Use Type

    E-commerce

    Brick-and-Mortar Stores

    Wholesale and Distribution

    RUSSIA Outlook (USD Billion, 2019-2035)

    RUSSIA Artificial Intelligence in Retail Market by Application Type

    Customer Service

    Inventory Management

    Sales and Marketing

    Fraud Detection

    Supply Chain Optimization

    RUSSIA Artificial Intelligence in Retail Market by Deployment Mode Type

    Cloud-Based

    On-Premises

    Hybrid

    RUSSIA Artificial Intelligence in Retail Market by Technology Type

    Machine Learning

    Natural Language Processing

    Computer Vision

    Robotic Process Automation

    RUSSIA Artificial Intelligence in Retail Market by End Use Type

    E-commerce

    Brick-and-Mortar Stores

    Wholesale and Distribution

    ITALY Outlook (USD Billion, 2019-2035)

    ITALY Artificial Intelligence in Retail Market by Application Type

    Customer Service

    Inventory Management

    Sales and Marketing

    Fraud Detection

    Supply Chain Optimization

    ITALY Artificial Intelligence in Retail Market by Deployment Mode Type

    Cloud-Based

    On-Premises

    Hybrid

    ITALY Artificial Intelligence in Retail Market by Technology Type

    Machine Learning

    Natural Language Processing

    Computer Vision

    Robotic Process Automation

    ITALY Artificial Intelligence in Retail Market by End Use Type

    E-commerce

    Brick-and-Mortar Stores

    Wholesale and Distribution

    SPAIN Outlook (USD Billion, 2019-2035)

    SPAIN Artificial Intelligence in Retail Market by Application Type

    Customer Service

    Inventory Management

    Sales and Marketing

    Fraud Detection

    Supply Chain Optimization

    SPAIN Artificial Intelligence in Retail Market by Deployment Mode Type

    Cloud-Based

    On-Premises

    Hybrid

    SPAIN Artificial Intelligence in Retail Market by Technology Type

    Machine Learning

    Natural Language Processing

    Computer Vision

    Robotic Process Automation

    SPAIN Artificial Intelligence in Retail Market by End Use Type

    E-commerce

    Brick-and-Mortar Stores

    Wholesale and Distribution

    REST OF EUROPE Outlook (USD Billion, 2019-2035)

    REST OF EUROPE Artificial Intelligence in Retail Market by Application Type

    Customer Service

    Inventory Management

    Sales and Marketing

    Fraud Detection

    Supply Chain Optimization

    REST OF EUROPE Artificial Intelligence in Retail Market by Deployment Mode Type

    Cloud-Based

    On-Premises

    Hybrid

    REST OF EUROPE Artificial Intelligence in Retail Market by Technology Type

    Machine Learning

    Natural Language Processing

    Computer Vision

    Robotic Process Automation

    REST OF EUROPE Artificial Intelligence in Retail Market by End Use Type

    E-commerce

    Brick-and-Mortar Stores

    Wholesale and Distribution

    APAC Outlook (USD Billion, 2019-2035)

    APAC Artificial Intelligence in Retail Market by Application Type

    Customer Service

    Inventory Management

    Sales and Marketing

    Fraud Detection

    Supply Chain Optimization

    APAC Artificial Intelligence in Retail Market by Deployment Mode Type

    Cloud-Based

    On-Premises

    Hybrid

    APAC Artificial Intelligence in Retail Market by Technology Type

    Machine Learning

    Natural Language Processing

    Computer Vision

    Robotic Process Automation

    APAC Artificial Intelligence in Retail Market by End Use Type

    E-commerce

    Brick-and-Mortar Stores

    Wholesale and Distribution

    APAC Artificial Intelligence in Retail Market by Regional Type

    China

    India

    Japan

    South Korea

    Malaysia

    Thailand

    Indonesia

    Rest of APAC

    CHINA Outlook (USD Billion, 2019-2035)

    CHINA Artificial Intelligence in Retail Market by Application Type

    Customer Service

    Inventory Management

    Sales and Marketing

    Fraud Detection

    Supply Chain Optimization

    CHINA Artificial Intelligence in Retail Market by Deployment Mode Type

    Cloud-Based

    On-Premises

    Hybrid

    CHINA Artificial Intelligence in Retail Market by Technology Type

    Machine Learning

    Natural Language Processing

    Computer Vision

    Robotic Process Automation

    CHINA Artificial Intelligence in Retail Market by End Use Type

    E-commerce

    Brick-and-Mortar Stores

    Wholesale and Distribution

    INDIA Outlook (USD Billion, 2019-2035)

    INDIA Artificial Intelligence in Retail Market by Application Type

    Customer Service

    Inventory Management

    Sales and Marketing

    Fraud Detection

    Supply Chain Optimization

    INDIA Artificial Intelligence in Retail Market by Deployment Mode Type

    Cloud-Based

    On-Premises

    Hybrid

    INDIA Artificial Intelligence in Retail Market by Technology Type

    Machine Learning

    Natural Language Processing

    Computer Vision

    Robotic Process Automation

    INDIA Artificial Intelligence in Retail Market by End Use Type

    E-commerce

    Brick-and-Mortar Stores

    Wholesale and Distribution

    JAPAN Outlook (USD Billion, 2019-2035)

    JAPAN Artificial Intelligence in Retail Market by Application Type

    Customer Service

    Inventory Management

    Sales and Marketing

    Fraud Detection

    Supply Chain Optimization

    JAPAN Artificial Intelligence in Retail Market by Deployment Mode Type

    Cloud-Based

    On-Premises

    Hybrid

    JAPAN Artificial Intelligence in Retail Market by Technology Type

    Machine Learning

    Natural Language Processing

    Computer Vision

    Robotic Process Automation

    JAPAN Artificial Intelligence in Retail Market by End Use Type

    E-commerce

    Brick-and-Mortar Stores

    Wholesale and Distribution

    SOUTH KOREA Outlook (USD Billion, 2019-2035)

    SOUTH KOREA Artificial Intelligence in Retail Market by Application Type

    Customer Service

    Inventory Management

    Sales and Marketing

    Fraud Detection

    Supply Chain Optimization

    SOUTH KOREA Artificial Intelligence in Retail Market by Deployment Mode Type

    Cloud-Based

    On-Premises

    Hybrid

    SOUTH KOREA Artificial Intelligence in Retail Market by Technology Type

    Machine Learning

    Natural Language Processing

    Computer Vision

    Robotic Process Automation

    SOUTH KOREA Artificial Intelligence in Retail Market by End Use Type

    E-commerce

    Brick-and-Mortar Stores

    Wholesale and Distribution

    MALAYSIA Outlook (USD Billion, 2019-2035)

    MALAYSIA Artificial Intelligence in Retail Market by Application Type

    Customer Service

    Inventory Management

    Sales and Marketing

    Fraud Detection

    Supply Chain Optimization

    MALAYSIA Artificial Intelligence in Retail Market by Deployment Mode Type

    Cloud-Based

    On-Premises

    Hybrid

    MALAYSIA Artificial Intelligence in Retail Market by Technology Type

    Machine Learning

    Natural Language Processing

    Computer Vision

    Robotic Process Automation

    MALAYSIA Artificial Intelligence in Retail Market by End Use Type

    E-commerce

    Brick-and-Mortar Stores

    Wholesale and Distribution

    THAILAND Outlook (USD Billion, 2019-2035)

    THAILAND Artificial Intelligence in Retail Market by Application Type

    Customer Service

    Inventory Management

    Sales and Marketing

    Fraud Detection

    Supply Chain Optimization

    THAILAND Artificial Intelligence in Retail Market by Deployment Mode Type

    Cloud-Based

    On-Premises

    Hybrid

    THAILAND Artificial Intelligence in Retail Market by Technology Type

    Machine Learning

    Natural Language Processing

    Computer Vision

    Robotic Process Automation

    THAILAND Artificial Intelligence in Retail Market by End Use Type

    E-commerce

    Brick-and-Mortar Stores

    Wholesale and Distribution

    INDONESIA Outlook (USD Billion, 2019-2035)

    INDONESIA Artificial Intelligence in Retail Market by Application Type

    Customer Service

    Inventory Management

    Sales and Marketing

    Fraud Detection

    Supply Chain Optimization

    INDONESIA Artificial Intelligence in Retail Market by Deployment Mode Type

    Cloud-Based

    On-Premises

    Hybrid

    INDONESIA Artificial Intelligence in Retail Market by Technology Type

    Machine Learning

    Natural Language Processing

    Computer Vision

    Robotic Process Automation

    INDONESIA Artificial Intelligence in Retail Market by End Use Type

    E-commerce

    Brick-and-Mortar Stores

    Wholesale and Distribution

    REST OF APAC Outlook (USD Billion, 2019-2035)

    REST OF APAC Artificial Intelligence in Retail Market by Application Type

    Customer Service

    Inventory Management

    Sales and Marketing

    Fraud Detection

    Supply Chain Optimization

    REST OF APAC Artificial Intelligence in Retail Market by Deployment Mode Type

    Cloud-Based

    On-Premises

    Hybrid

    REST OF APAC Artificial Intelligence in Retail Market by Technology Type

    Machine Learning

    Natural Language Processing

    Computer Vision

    Robotic Process Automation

    REST OF APAC Artificial Intelligence in Retail Market by End Use Type

    E-commerce

    Brick-and-Mortar Stores

    Wholesale and Distribution

    South America Outlook (USD Billion, 2019-2035)

    South America Artificial Intelligence in Retail Market by Application Type

    Customer Service

    Inventory Management

    Sales and Marketing

    Fraud Detection

    Supply Chain Optimization

    South America Artificial Intelligence in Retail Market by Deployment Mode Type

    Cloud-Based

    On-Premises

    Hybrid

    South America Artificial Intelligence in Retail Market by Technology Type

    Machine Learning

    Natural Language Processing

    Computer Vision

    Robotic Process Automation

    South America Artificial Intelligence in Retail Market by End Use Type

    E-commerce

    Brick-and-Mortar Stores

    Wholesale and Distribution

    South America Artificial Intelligence in Retail Market by Regional Type

    Brazil

    Mexico

    Argentina

    Rest of South America

    BRAZIL Outlook (USD Billion, 2019-2035)

    BRAZIL Artificial Intelligence in Retail Market by Application Type

    Customer Service

    Inventory Management

    Sales and Marketing

    Fraud Detection

    Supply Chain Optimization

    BRAZIL Artificial Intelligence in Retail Market by Deployment Mode Type

    Cloud-Based

    On-Premises

    Hybrid

    BRAZIL Artificial Intelligence in Retail Market by Technology Type

    Machine Learning

    Natural Language Processing

    Computer Vision

    Robotic Process Automation

    BRAZIL Artificial Intelligence in Retail Market by End Use Type

    E-commerce

    Brick-and-Mortar Stores

    Wholesale and Distribution

    MEXICO Outlook (USD Billion, 2019-2035)

    MEXICO Artificial Intelligence in Retail Market by Application Type

    Customer Service

    Inventory Management

    Sales and Marketing

    Fraud Detection

    Supply Chain Optimization

    MEXICO Artificial Intelligence in Retail Market by Deployment Mode Type

    Cloud-Based

    On-Premises

    Hybrid

    MEXICO Artificial Intelligence in Retail Market by Technology Type

    Machine Learning

    Natural Language Processing

    Computer Vision

    Robotic Process Automation

    MEXICO Artificial Intelligence in Retail Market by End Use Type

    E-commerce

    Brick-and-Mortar Stores

    Wholesale and Distribution

    ARGENTINA Outlook (USD Billion, 2019-2035)

    ARGENTINA Artificial Intelligence in Retail Market by Application Type

    Customer Service

    Inventory Management

    Sales and Marketing

    Fraud Detection

    Supply Chain Optimization

    ARGENTINA Artificial Intelligence in Retail Market by Deployment Mode Type

    Cloud-Based

    On-Premises

    Hybrid

    ARGENTINA Artificial Intelligence in Retail Market by Technology Type

    Machine Learning

    Natural Language Processing

    Computer Vision

    Robotic Process Automation

    ARGENTINA Artificial Intelligence in Retail Market by End Use Type

    E-commerce

    Brick-and-Mortar Stores

    Wholesale and Distribution

    REST OF SOUTH AMERICA Outlook (USD Billion, 2019-2035)

    REST OF SOUTH AMERICA Artificial Intelligence in Retail Market by Application Type

    Customer Service

    Inventory Management

    Sales and Marketing

    Fraud Detection

    Supply Chain Optimization

    REST OF SOUTH AMERICA Artificial Intelligence in Retail Market by Deployment Mode Type

    Cloud-Based

    On-Premises

    Hybrid

    REST OF SOUTH AMERICA Artificial Intelligence in Retail Market by Technology Type

    Machine Learning

    Natural Language Processing

    Computer Vision

    Robotic Process Automation

    REST OF SOUTH AMERICA Artificial Intelligence in Retail Market by End Use Type

    E-commerce

    Brick-and-Mortar Stores

    Wholesale and Distribution

    MEA Outlook (USD Billion, 2019-2035)

    MEA Artificial Intelligence in Retail Market by Application Type

    Customer Service

    Inventory Management

    Sales and Marketing

    Fraud Detection

    Supply Chain Optimization

    MEA Artificial Intelligence in Retail Market by Deployment Mode Type

    Cloud-Based

    On-Premises

    Hybrid

    MEA Artificial Intelligence in Retail Market by Technology Type

    Machine Learning

    Natural Language Processing

    Computer Vision

    Robotic Process Automation

    MEA Artificial Intelligence in Retail Market by End Use Type

    E-commerce

    Brick-and-Mortar Stores

    Wholesale and Distribution

    MEA Artificial Intelligence in Retail Market by Regional Type

    GCC Countries

    South Africa

    Rest of MEA

    GCC COUNTRIES Outlook (USD Billion, 2019-2035)

    GCC COUNTRIES Artificial Intelligence in Retail Market by Application Type

    Customer Service

    Inventory Management

    Sales and Marketing

    Fraud Detection

    Supply Chain Optimization

    GCC COUNTRIES Artificial Intelligence in Retail Market by Deployment Mode Type

    Cloud-Based

    On-Premises

    Hybrid

    GCC COUNTRIES Artificial Intelligence in Retail Market by Technology Type

    Machine Learning

    Natural Language Processing

    Computer Vision

    Robotic Process Automation

    GCC COUNTRIES Artificial Intelligence in Retail Market by End Use Type

    E-commerce

    Brick-and-Mortar Stores

    Wholesale and Distribution

    SOUTH AFRICA Outlook (USD Billion, 2019-2035)

    SOUTH AFRICA Artificial Intelligence in Retail Market by Application Type

    Customer Service

    Inventory Management

    Sales and Marketing

    Fraud Detection

    Supply Chain Optimization

    SOUTH AFRICA Artificial Intelligence in Retail Market by Deployment Mode Type

    Cloud-Based

    On-Premises

    Hybrid

    SOUTH AFRICA Artificial Intelligence in Retail Market by Technology Type

    Machine Learning

    Natural Language Processing

    Computer Vision

    Robotic Process Automation

    SOUTH AFRICA Artificial Intelligence in Retail Market by End Use Type

    E-commerce

    Brick-and-Mortar Stores

    Wholesale and Distribution

    REST OF MEA Outlook (USD Billion, 2019-2035)

    REST OF MEA Artificial Intelligence in Retail Market by Application Type

    Customer Service

    Inventory Management

    Sales and Marketing

    Fraud Detection

    Supply Chain Optimization

    REST OF MEA Artificial Intelligence in Retail Market by Deployment Mode Type

    Cloud-Based

    On-Premises

    Hybrid

    REST OF MEA Artificial Intelligence in Retail Market by Technology Type

    Machine Learning

    Natural Language Processing

    Computer Vision

    Robotic Process Automation

    REST OF MEA Artificial Intelligence in Retail Market by End Use Type

    E-commerce

    Brick-and-Mortar Stores

    Wholesale and Distribution

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