Home » Information and Communications Technology » Technology & Media » Artificial Intelligence in Retail Market

Artificial Intelligence in Retail Market By Component (Solution, Services); By Business Function (Marketing & Sales, Human Resources, Finance & Accounting, Operations, Cybersecurity); By Technology (Machine Learning, Natural Language Processing, Chatbots, Image and Video Analytics, Swarm Intelligence); By Sales Channel (Omnichannel, Brick and Mortar) – Growth, Share, Opportunities & Competitive Analysis, 2024 – 2032

Price: $4699

Published: | Report ID: 72954 | Report Format : PDF
REPORT ATTRIBUTE DETAILS
Historical Period 2019-2022
Base Year 2023
Forecast Period 2024-2032
Artificial Intelligence in Retail Market Size 2024 USD 9,856.19 million
Artificial Intelligence in Retail Market, CAGR 31.20%
Artificial Intelligence in Retail Market Size 2032 USD 86,532.60 million

Market Overview

The global artificial intelligence in retail market is projected to grow from USD 9,856.19 million in 2024 to USD 86,532.60 million by 2032, at an impressive CAGR of 31.20% during the forecast period.

The global artificial intelligence in retail market is driven by the growing adoption of AI-powered tools to enhance customer experience, streamline operations, and optimize supply chain management. Retailers increasingly leverage AI for personalized recommendations, demand forecasting, and automated customer service, addressing the rising consumer preference for tailored shopping experiences. The integration of AI with advanced technologies like IoT and big data analytics further supports market growth by enabling real-time insights and predictive analytics. Additionally, the rapid expansion of e-commerce and omnichannel retailing has accelerated the deployment of AI solutions to manage inventory, pricing strategies, and fraud detection effectively. Governments and organizations worldwide are also investing in AI research and development, fostering innovation in the retail sector. As a result, the increasing availability of cloud-based AI platforms and the growing emphasis on data-driven decision-making are expected to further propel market growth during the forecast period.

The geographical analysis of the global artificial intelligence in retail market highlights significant growth across various regions, with North America and Europe leading in AI adoption. North America is a key hub for AI innovation, driven by the presence of major retail players and technology providers. Europe is also witnessing substantial AI integration in retail, with a focus on enhancing customer experiences and operational efficiency. The Asia Pacific region, particularly China and India, is rapidly expanding its AI capabilities in retail due to increasing digitalization and consumer demand for personalized experiences. In the Middle East and Latin America, AI adoption is growing as retailers focus on improving supply chains and customer service. Key players in the market include Salesforce, NVIDIA, IBM, Oracle, SAP, Microsoft, and Google, among others, who are leading the charge in AI-driven retail solutions and technologies, shaping the future of the industry.

Design Element 2

Access crucial information at unmatched prices!

Request your free sample report today & start making informed decisions powered by Credence Research!

Download Free Sample

CTA Design Element 3

Market Insights

  • The global artificial intelligence in retail market is projected to grow from USD 9,856.19 million in 2024 to USD 86,532.60 million by 2032, at a CAGR of 31.20%.
  • Increasing demand for personalized customer experiences is driving the adoption of AI in retail.
  • AI solutions for inventory management, customer service, and predictive analytics are enhancing operational efficiency and sales.
  • The market is witnessing trends like omnichannel integration and AI-powered chatbots for improving customer engagement.
  • Key players like Salesforce, NVIDIA, IBM, Oracle, and Microsoft are intensifying competition through advanced AI offerings.
  • High initial investment costs and data privacy concerns remain significant restraints for market growth.
  • North America and Europe are leading in AI adoption in retail, while Asia Pacific shows rapid growth potential due to digital transformation in emerging markets.

Market Drivers

Increasing Adoption of Cloud-based AI Solutions

The rising availability of cloud-based AI platforms is significantly driving market growth. Cloud solutions provide scalability, cost-efficiency, and accessibility, enabling retailers to deploy AI technologies with minimal infrastructure investments. These platforms facilitate real-time data processing and analytics, empowering businesses to make data-driven decisions. For instance, Google Cloud’s solutions enable retailers to leverage existing assets to harness the power of AI without significant upfront investments. As retailers seek flexible and cost-effective ways to adopt AI, the demand for cloud-based solutions is expected to grow steadily, further boosting market expansion.

Rising Demand for Personalized Shopping Experiences

The growing need for personalized customer experiences is a significant driver of artificial intelligence adoption in the retail sector. Consumers increasingly expect tailored recommendations, offers, and product suggestions, leading retailers to leverage AI-powered solutions. Advanced algorithms analyze customer behavior, purchase history, and preferences to provide personalized interactions, fostering customer loyalty and satisfaction. This demand for personalization, coupled with the availability of large datasets, is encouraging retailers to adopt AI technologies that enhance the customer journey.

Integration of AI with E-commerce and Omnichannel Strategies

The rapid growth of e-commerce and omnichannel retailing is fueling the demand for artificial intelligence in retail. AI solutions play a vital role in managing inventory, optimizing pricing, and streamlining logistics in a multichannel environment. By employing AI-driven insights, retailers can ensure seamless operations across online and offline platforms while improving customer engagement. For instance, NVIDIA’s survey highlighted that 69% of retailers reported an increase in annual revenue attributed to AI adoption, particularly in managing inventory and optimizing pricing. Additionally, chatbots and virtual assistants powered by AI enable retailers to offer round-the-clock customer support, enhancing the overall shopping experience.

Advancements in Predictive Analytics and Supply Chain Optimization

Predictive analytics powered by artificial intelligence is revolutionizing supply chain management in the retail industry. AI models forecast demand trends, identify potential disruptions, and optimize inventory levels, ensuring operational efficiency and cost savings. Retailers are increasingly relying on these capabilities to reduce waste, enhance delivery accuracy, and improve inventory turnover. These advancements not only enhance supply chain resilience but also contribute to higher profitability and customer satisfaction.

Market Trends

Growth of Visual Search and Image Recognition Technologies

Visual search and image recognition technologies are gaining traction in the retail sector, driven by their ability to enhance the shopping experience. Consumers can now search for products using images, leading to quicker and more accurate results. For instance, Pinterest Lens allows users to take photos of objects and find similar items on the platform, significantly enhancing user engagement. AI-powered image recognition also helps retailers with shelf monitoring, product placement, and inventory tracking. This trend is particularly prominent in fashion and home decor, where visual elements significantly influence purchase decisions. The rise of visual search reflects the growing importance of innovative technologies in driving customer convenience.

Expansion of AI-Driven Customer Engagement Tools

Retailers are increasingly adopting AI-powered tools like chatbots, virtual assistants, and voice recognition systems to enhance customer engagement. These technologies offer personalized and instant interactions, improving customer satisfaction and retention. Retailers are also utilizing AI to provide seamless omnichannel experiences by integrating online and offline touchpoints. As consumer expectations evolve, the adoption of AI-driven customer engagement tools continues to grow, enabling retailers to stay competitive in a dynamic marketplace.

Rise of AI in Inventory Management and Demand Forecasting

AI is transforming inventory management and demand forecasting processes by enabling precise data analysis and predictive insights. Retailers are leveraging AI algorithms to optimize stock levels, reduce waste, and prevent overstocking or stockouts. Demand forecasting powered by AI helps businesses anticipate trends, plan promotions, and improve supply chain efficiency. As retailers strive for operational excellence, the integration of AI in inventory management has become a critical trend shaping the future of the retail industry.

Increasing Adoption of AI-Enabled Pricing Optimization

Retailers are increasingly turning to AI-driven pricing optimization tools to maximize revenue and profitability. These tools analyze market trends, competitor pricing, and customer behavior to recommend dynamic pricing strategies. AI-enabled pricing solutions help retailers respond to market fluctuations in real time while maintaining competitive pricing. This trend highlights the growing reliance on AI to enhance decision-making and improve business performance in the highly competitive retail landscape.

Market Challenges Analysis

Data Privacy Concerns and Regulatory Challenges

The growing reliance on AI in retail raises significant concerns about data privacy and compliance with regulatory standards. AI systems require vast amounts of customer data to deliver personalized experiences, which increases the risk of data breaches and misuse. Retailers must adhere to stringent data protection regulations, such as GDPR and CCPA, which can complicate the implementation of AI technologies. For instance, Meta was fined €1.2 billion by the Irish Data Protection Commission for violating GDPR by transferring European user data to the U.S., highlighting the regulatory challenges. Balancing the use of customer data for AI applications with the need for privacy and compliance remains a persistent challenge. Retailers must invest in robust cybersecurity measures and transparent data practices to address these concerns and build consumer trust.

High Implementation Costs and Limited Accessibility

One of the primary challenges facing the adoption of artificial intelligence in retail is the high cost of implementation. Deploying AI-powered solutions often requires significant investments in infrastructure, software, and skilled personnel. Small and medium-sized retailers, in particular, find it difficult to allocate the necessary resources for AI integration. Moreover, the costs associated with maintaining and upgrading AI systems can further strain budgets. Limited accessibility to advanced AI technologies, particularly in emerging markets, also hinders widespread adoption. These factors create a barrier for retailers seeking to enhance their operations and customer experiences through AI.

Market Opportunities

Expanding Role of AI in Enhancing Customer Experience

The growing demand for personalized and seamless shopping experiences presents significant opportunities for artificial intelligence in the retail market. Retailers can leverage AI-powered solutions, such as recommendation engines, chatbots, and virtual assistants, to deliver tailored customer interactions and improve engagement. AI-driven analytics provide actionable insights into consumer behavior, enabling businesses to anticipate customer needs and develop targeted marketing strategies. Additionally, advancements in technologies like natural language processing and computer vision are expanding the capabilities of AI applications, creating new possibilities for retailers to elevate customer satisfaction and loyalty.

Integration of AI with Emerging Technologies

The integration of artificial intelligence with emerging technologies, such as the Internet of Things (IoT) and augmented reality (AR), offers immense growth potential for the retail sector. AI-powered IoT devices enable real-time inventory tracking, automated restocking, and efficient supply chain management, reducing operational costs and improving efficiency. Similarly, the combination of AI and AR enhances the in-store shopping experience by offering virtual try-ons and product visualization. As digital transformation accelerates globally, the adoption of AI in innovative applications is expected to unlock new revenue streams and drive growth in the retail market.

Market Segmentation Analysis:

By Component:

The global artificial intelligence in retail market is segmented by component into Solution and Services. The Solution segment is expected to dominate the market, driven by the increasing adoption of AI-powered tools such as recommendation engines, inventory management systems, and automated customer service platforms. These solutions enhance operational efficiency and customer engagement, making them integral to retail businesses. Additionally, AI solutions offer retailers advanced analytics for personalized experiences, demand forecasting, and supply chain optimization. The Services segment, on the other hand, includes AI consulting, deployment, and maintenance services. As more retailers integrate AI technologies, the demand for professional services will rise to support AI implementation and ensure smooth operations. This segment is also witnessing growth due to the need for continuous AI system upgrades and customization. Together, these components contribute to the transformation of the retail industry, creating opportunities for innovation and better customer experiences.

By Business Function:

The Business Function segment of the global AI in retail market is further classified into Marketing & Sales, Human Resources, Finance & Accounting, Operations, and Cybersecurity. Marketing & Sales holds the largest share, driven by the increasing need for personalized customer engagement and targeted marketing strategies. AI-powered tools such as customer segmentation, predictive analytics, and chatbots are reshaping how retailers interact with customers, boosting sales and brand loyalty. In Human Resources, AI is used for recruitment, talent management, and performance analysis, optimizing workforce efficiency. Finance & Accounting applications of AI help streamline financial operations, fraud detection, and predictive budgeting. In Operations, AI enhances supply chain management, inventory optimization, and demand forecasting. Lastly, Cybersecurity applications of AI are becoming essential for protecting sensitive data and preventing cyber threats, as retailers handle vast amounts of customer information. These business functions highlight the widespread adoption of AI across retail operations, improving efficiency, customer satisfaction, and security.

Segments:

Based on Component:

  • Solution
  • Services

Based on Business Function:

  • Marketing & Sales
  • Human Resources
  • Finance & Accounting
  • Operations
  • Cybersecurity

Based on Technology:

  • Machine Learning
  • Natural Language Processing
  • Chatbots
  • Image and Video Analytics
  • Swarm Intelligence

Based on Sales Channel:

  • Omnichannel
  • Brick and Mortar

Based on the Geography:

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • UK
    • France
    • Germany
    • Italy
    • Spain
    • Russia
    • Belgium
    • Netherlands
    • Austria
    • Sweden
    • Poland
    • Denmark
    • Switzerland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • South Korea
    • India
    • Australia
    • Thailand
    • Indonesia
    • Vietnam
    • Malaysia
    • Philippines
    • Taiwan
    • Rest of Asia Pacific
  • Latin America
    • Brazil
    • Argentina
    • Peru
    • Chile
    • Colombia
    • Rest of Latin America
  • Middle East
    • UAE
    • KSA
    • Israel
    • Turkey
    • Iran
    • Rest of Middle East
  • Africa
    • Egypt
    • Nigeria
    • Algeria
    • Morocco
    • Rest of Africa

Regional Analysis

North America

North America holds the largest share in the global artificial intelligence (AI) in retail market, accounting for approximately 38% of the market in 2024. The region is home to some of the most prominent retail giants and technology companies, driving the rapid adoption of AI technologies. Retailers in North America are leveraging AI to enhance customer experience, streamline operations, and optimize supply chains. AI applications like chatbots, recommendation engines, and predictive analytics are widely used to improve customer engagement and sales. Furthermore, the strong presence of major technology providers, coupled with high consumer spending power, accelerates the region’s AI adoption in retail. The U.S. and Canada are major contributors to this market, with significant investments in AI research and development, creating a robust environment for innovation.

Europe

Europe follows closely behind North America, holding a market share of around 30% in the global AI in retail market in 2024. Countries such as the United Kingdom, Germany, and France are leading the way in AI adoption. Retailers in Europe are increasingly using AI to personalize customer experiences, improve operational efficiency, and comply with stringent data protection regulations like GDPR. The integration of AI with omnichannel strategies is a key trend in Europe, with retailers aiming to provide a seamless shopping experience across online and offline platforms. The growth of e-commerce in Europe is further fueling the demand for AI-based solutions, particularly for inventory management and customer analytics. The European market also benefits from significant support from government initiatives promoting AI research and innovation.

Asia Pacific

The Asia Pacific region is experiencing rapid growth in the AI in retail market, accounting for about 18% of the global market share in 2024. The retail landscape in Asia is diverse, with emerging markets in China, India, and Southeast Asia playing pivotal roles in the adoption of AI technologies. Retailers in this region are increasingly using AI to streamline supply chains, enhance customer service through AI-powered chatbots, and implement advanced analytics for sales forecasting. China’s e-commerce boom and India’s growing digital penetration are significant drivers of AI adoption in the retail industry. Furthermore, the growing consumer demand for personalized shopping experiences is pushing retailers to implement AI solutions to stay competitive. The region’s robust technological infrastructure and investment in AI development further support this growth.

Latin America and Middle East & Africa

Latin America and the Middle East & Africa (MEA) are emerging regions in the global AI in retail market, accounting for 14% of the market share in 2024. While AI adoption in retail is still in its nascent stages in these regions, the market is poised for significant growth due to increasing digital transformation in the retail sector. In Latin America, retailers are starting to implement AI-based solutions for customer engagement and inventory management. In the MEA region, rapid urbanization and the growth of e-commerce are driving the demand for AI technologies. The expansion of AI applications in logistics, supply chain management, and customer service in both regions is helping retailers improve operational efficiency and customer satisfaction. As internet penetration and digital infrastructure continue to improve, these regions are expected to witness a higher adoption rate of AI in the coming years.

Shape Your Report to Specific Countries or Regions & Enjoy 30% Off!

Key Player Analysis

  • Salesforce, Inc.
  • NVIDIA Corporation
  • IBM Corporation
  • Oracle Corporation
  • SAP SE
  • Microsoft Corporation
  • Sentient Technologies
  • Google LLC
  • Intel Corporation
  • Amazon
  • ServiceNow
  • Accenture
  • Infosys
  • Fujitsu
  • Others

Competitive Analysis

The global artificial intelligence in retail market is highly competitive, with leading players constantly innovating to capture market share. Major companies such as Salesforce, NVIDIA, IBM, Oracle, SAP, Microsoft, Sentient Technologies, Google, Intel, Amazon, ServiceNow, Accenture, Infosys, and Fujitsu are at the forefront, driving AI adoption in the retail sector. These companies offer a wide range of AI-driven solutions including customer analytics, personalized marketing tools, inventory management systems, and chatbots, enabling retailers to enhance customer engagement and operational efficiency. Cloud-based AI solutions are gaining popularity, offering scalability and flexibility for businesses of all sizes. Additionally, companies are focusing on delivering personalized marketing tools, predictive analytics, and AI-powered chatbots to improve customer service and sales conversion rates. The competitive landscape is characterized by ongoing innovation, with firms investing heavily in research and development to stay ahead of emerging trends such as omnichannel integration and AI-powered decision-making tools. Strategic partnerships and collaborations are also prevalent, allowing companies to leverage complementary technologies and expertise in delivering comprehensive AI solutions for the retail sector. For example, Rezolve Ai and Google have formed a strategic partnership to revolutionize retail and consumer commerce through advanced AI and cloud infrastructure. As demand for AI in retail continues to grow, companies are exploring new applications and expanding their portfolios to meet evolving customer needs and preferences. These efforts aim to create seamless, personalized shopping experiences while driving operational efficiencies and business growth.

Recent Developments

  • In January 2025, NVIDIA announced the NVIDIA AI Blueprint for retail shopping assistants, designed to transform shopping experiences both online and in stores. This blueprint helps developers create AI-powered digital assistants that can deliver personalized shopping experiences, drive higher conversion rates, and lower product return rates.
  • In April 2024, Oracle introduced new AI capabilities within Oracle Fusion Cloud Customer Experience (CX) to help marketers, sellers, and service agents accelerate deal cycles. These capabilities automate time-consuming tasks and enable more precise targeting, engagement, and service of buyers.
  • In January 2024, Microsoft unveiled new generative AI and data solutions at NRF 2024 to transform shopping experiences. These solutions span the retail shopper journey, from personalized shopping experiences to empowering store associates and unifying retail data.
  • In January 2024, Salesforce announced new data and AI-powered tools at NRF 2024 to transform shopping experiences. These tools, powered by the Einstein 1 Platform, include AI content creation, digital storefronts, and shopper insights to enhance customer interactions, increase loyalty, and drive revenue.
  • In January 2024, IBM reported at NRF 2024 that generative AI can bridge the consumer expectation gap by creating unified, integrated shopping experiences. The study showed dissatisfaction with current retail experiences and emphasized the role of AI in meeting consumer demands.

Market Concentration & Characteristics

The market concentration in the global artificial intelligence (AI) in retail industry is moderately high, with a few key players dominating the landscape while several smaller firms also contribute to its growth. Large technology companies, particularly those offering comprehensive AI solutions across cloud, machine learning, and data analytics, hold significant market share. These companies continue to drive innovation, leveraging their robust R&D capabilities and established customer bases to secure long-term growth. Despite this dominance, there is a growing presence of startups and niche players who specialize in specific AI applications, such as AI-powered chatbots, recommendation systems, and predictive analytics, contributing to the overall fragmentation of the market. The market characteristics are defined by rapid technological advancements, the integration of AI with other emerging technologies like IoT and big data, and a strong focus on improving customer experience. Retailers are increasingly investing in AI to enhance operational efficiency, automate processes, and personalize customer interactions. The AI in retail market is also witnessing the rise of strategic partnerships and acquisitions, as companies seek to expand their AI capabilities and reach new customer segments. As the demand for more sophisticated AI solutions grows, the competitive dynamics are expected to evolve, with both established players and new entrants focusing on differentiation through innovation and specialized offerings.

Report Coverage

The research report offers an in-depth analysis based on Component, Business Function, Technology, Sales Channel and Geography. It details leading market players, providing an overview of their business, product offerings, investments, revenue streams, and key applications. Additionally, the report includes insights into the competitive environment, SWOT analysis, current market trends, as well as the primary drivers and constraints. Furthermore, it discusses various factors that have driven market expansion in recent years. The report also explores market dynamics, regulatory scenarios, and technological advancements that are shaping the industry. It assesses the impact of external factors and global economic changes on market growth. Lastly, it provides strategic recommendations for new entrants and established companies to navigate the complexities of the market.

Future Outlook

  1. The global artificial intelligence in retail market is expected to continue its rapid growth, driven by increasing consumer demand for personalized shopping experiences.
  2. AI adoption will expand across various retail segments, including e-commerce, brick-and-mortar stores, and omnichannel retailing.
  3. The integration of machine learning and natural language processing will enhance customer service and support through AI-powered chatbots and virtual assistants.
  4. Predictive analytics and demand forecasting will become more sophisticated, allowing retailers to optimize inventory management and reduce supply chain disruptions.
  5. Retailers will increasingly rely on AI to deliver personalized recommendations, targeted marketing, and improved customer engagement strategies.
  6. AI technologies will help retailers automate routine tasks, improving operational efficiency and reducing costs.
  7. Data privacy and security concerns will drive the need for more secure and transparent AI solutions in the retail sector.
  8. The rise of AI-driven decision-making tools will help retailers make more informed, data-backed business decisions.
  9. Partnerships and acquisitions between AI providers and retail companies will increase to drive innovation and accelerate AI adoption.
  10. The continued development of AI technologies, such as computer vision and voice recognition, will create new opportunities for retailers to enhance customer experiences.

CHAPTER NO. 1 : INTRODUCTION 30

1.1.1. Report Description 30

Purpose of the Report 30

USP & Key Offerings 30

1.1.2. Key Benefits for Stakeholders 30

1.1.3. Target Audience 31

1.1.4. Report Scope 31

1.1.5. Regional Scope 32

CHAPTER NO. 2 : EXECUTIVE SUMMARY 33

2.1. Artificial Intelligence in Retail Market Snapshot 33

2.1.1. Global Artificial Intelligence in Retail Market, 2018 – 2032 (USD Million) 34

CHAPTER NO. 3 : GEOPOLITICAL CRISIS IMPACT ANALYSIS 35

3.1. Russia-Ukraine and Israel-Palestine War Impacts 35

CHAPTER NO. 4 : ARTIFICIAL INTELLIGENCE IN RETAIL MARKET – INDUSTRY ANALYSIS 36

4.1. Introduction 36

4.2. Market Drivers 37

4.2.1. Driving Factor 1 Analysis 37

4.2.2. Driving Factor 2 Analysis 38

4.3. Market Restraints 39

4.3.1. Restraining Factor Analysis 39

4.4. Market Opportunities 40

4.4.1. Market Opportunity Analysis 40

4.5. Porter’s Five Force analysis 41

4.6. Value Chain Analysis 42

4.7. Buying Criteria 43

CHAPTER NO. 5 : ANALYSIS COMPETITIVE LANDSCAPE 44

5.1. Company Market Share Analysis – 2023 44

5.1.1. Global Artificial Intelligence in Retail Market: Company Market Share, by Revenue, 2023 44

5.1.2. Global Artificial Intelligence in Retail Market: Top 6 Company Market Share, by Revenue, 2023 44

5.1.3. Global Artificial Intelligence in Retail Market: Top 3 Company Market Share, by Revenue, 2023 45

5.2. Global Artificial Intelligence in Retail Market Company Revenue Market Share, 2023 46

5.3. Company Assessment Metrics, 2023 47

5.3.1. Stars 47

5.3.2. Emerging Leaders 47

5.3.3. Pervasive Players 47

5.3.4. Participants 47

5.4. Start-ups /Brick and Mortar Assessment Metrics, 2023 47

5.4.1. Progressive Companies 47

5.4.2. Responsive Companies 47

5.4.3. Dynamic Companies 47

5.4.4. Starting Blocks 47

5.5. Strategic Developments 48

5.5.1. Acquisitions & Mergers 48

New Product Launch 48

Regional Expansion 48

5.6. Key Players Product Matrix 49

CHAPTER NO. 6 : PESTEL & ADJACENT MARKET ANALYSIS 50

6.1. PESTEL 50

6.1.1. Political Factors 50

6.1.2. Economic Factors 50

6.1.3. Social Factors 50

6.1.4. Technological Factors 50

6.1.5. Environmental Factors 50

6.1.6. Legal Factors 50

6.2. Adjacent Market Analysis 50

CHAPTER NO. 7 : ARTIFICIAL INTELLIGENCE IN RETAIL MARKET – BY COMPONENT SEGMENT ANALYSIS 51

7.1. Artificial Intelligence in Retail Market Overview, by Component Segment 51

7.1.1. Artificial Intelligence in Retail Market Revenue Share, By Component, 2023 & 2032 52

7.1.2. Artificial Intelligence in Retail Market Attractiveness Analysis, By Component 53

7.1.3. Incremental Revenue Growth Opportunity, by Component, 2024 – 2032 53

7.1.4. Artificial Intelligence in Retail Market Revenue, By Component, 2018, 2023, 2027 & 2032 54

7.2. Solution 55

7.2.1. Global Artificial Intelligence in Retail Market for Solution, By Region, 2018 – 2023 (USD Million) 56

7.2.2. Global Artificial Intelligence in Retail Market for Solution, By Region, 2024 – 2032 (USD Million) 56

7.3. Services 57

7.3.1. Global Artificial Intelligence in Retail Market for Services Revenue, By Region, 2018 – 2023 (USD Million) 58

7.3.2. Global Artificial Intelligence in Retail Market for Services Revenue, By Region, 2024 – 2032 (USD Million) 58

CHAPTER NO. 8 : ARTIFICIAL INTELLIGENCE IN RETAIL MARKET – BY BUSINESS FUNCTION SEGMENT ANALYSIS 59

8.1. Artificial Intelligence in Retail Market Overview, by Business Function Segment 59

8.1.1. Artificial Intelligence in Retail Market Revenue Share, By Business Function, 2023 & 2032 60

8.1.2. Artificial Intelligence in Retail Market Attractiveness Analysis, By Business Function 61

8.1.3. Incremental Revenue Growth Opportunity, by Business Function, 2024 – 2032 61

8.1.4. Artificial Intelligence in Retail Market Revenue, By Business Function, 2018, 2023, 2027 & 2032 62

8.2. Marketing & Sales 63

8.2.1. Global Marketing & Sales Artificial Intelligence in Retail Market Revenue, By Region, 2018 – 2023 (USD Million) 64

8.2.2. Global Marketing & Sales Artificial Intelligence in Retail Market Revenue, By Region, 2024 – 2032 (USD Million) 64

8.3. Human Resources 65

8.3.1. Global Human Resources Artificial Intelligence in Retail Market Revenue, By Region, 2018 – 2023 (USD Million) 66

8.3.2. Global Human Resources Artificial Intelligence in Retail Market Revenue, By Region, 2024 – 2032 (USD Million) 66

8.4. Finance & Accounting 67

8.4.1. Global Finance & Accounting Artificial Intelligence in Retail Market Revenue, By Region, 2018 – 2023 (USD Million) 68

8.4.2. Global Finance & Accounting Artificial Intelligence in Retail Market Revenue, By Region, 2024 – 2032 (USD Million) 68

8.5. Operations 69

8.5.1. Global Operations Artificial Intelligence in Retail Market Revenue, By Region, 2018 – 2023 (USD Million) 70

8.5.2. Global Operations Artificial Intelligence in Retail Market Revenue, By Region, 2024 – 2032 (USD Million) 70

8.6. Cybersecurity 71

8.6.1. Global Cybersecurity Artificial Intelligence in Retail Market Revenue, By Region, 2018 – 2023 (USD Million) 72

8.6.2. Global Cybersecurity Artificial Intelligence in Retail Market Revenue, By Region, 2024 – 2032 (USD Million) 72

CHAPTER NO. 9 : ARTIFICIAL INTELLIGENCE IN RETAIL MARKET – BY TECHNOLOGY SEGMENT ANALYSIS 73

9.1. Artificial Intelligence in Retail Market Overview, by Technology Segment 73

9.1.1. Artificial Intelligence in Retail Market Revenue Share, By Technology, 2023 & 2032 74

9.1.2. Artificial Intelligence in Retail Market Attractiveness Analysis, By Technology 75

9.1.3. Incremental Revenue Growth Opportunity, by Technology, 2024 – 2032 75

9.1.4. Artificial Intelligence in Retail Market Revenue, By Technology, 2018, 2023, 2027 & 2032 76

9.2. Machine Learning 77

9.2.1. Global Artificial Intelligence in Retail Market Revenue for Machine Learning, By Region, 2018 – 2023 (USD Million) 78

9.2.2. Global Artificial Intelligence in Retail Market Revenue for Machine Learning, By Region, 2024 – 2032 (USD Million) 78

9.3. Natural Language Processing 79

9.3.1. Global Artificial Intelligence in Retail Market Revenue for Natural Language Processing, By Region, 2018 – 2023 (USD Million) 80

9.3.2. Global Artificial Intelligence in Retail Market Revenue for Natural Language Processing, By Region, 2024 – 2032 (USD Million) 80

9.4. Chatbots 81

9.4.1. Global Artificial Intelligence in Retail Market Revenue for Chatbots, By Region, 2018 – 2023 (USD Million) 82

9.4.2. Global Artificial Intelligence in Retail Market Revenue for Chatbots, By Region, 2024 – 2032 (USD Million) 82

9.5. Image and Video Analytics 83

9.5.1. Global Artificial Intelligence in Retail Market Revenue for Image and Video Analytics, By Region, 2018 – 2023 (USD Million) 84

9.5.2. Global Artificial Intelligence in Retail Market Revenue for Image and Video Analytics, By Region, 2024 – 2032 (USD Million) 84

9.6. Swarm Intelligence 85

9.6.1. Global Artificial Intelligence in Retail Market Revenue for Swarm Intelligence, By Region, 2018 – 2023 (USD Million) 86

9.6.2. Global Artificial Intelligence in Retail Market Revenue for Swarm Intelligence, By Region, 2024 – 2032 (USD Million) 86

CHAPTER NO. 10 : ARTIFICIAL INTELLIGENCE IN RETAIL MARKET – BY SALES CHANNEL SEGMENT ANALYSIS 87

10.1. Artificial Intelligence in Retail Market Overview, by Sales Channel Segment 87

10.1.1. Artificial Intelligence in Retail Market Revenue Share, By Sales Channel, 2023 & 2032 88

10.1.2. Artificial Intelligence in Retail Market Attractiveness Analysis, By Sales Channel 89

10.1.3. Incremental Revenue Growth Opportunity, by Sales Channel, 2024 – 2032 89

10.1.4. Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2018, 2023, 2027 & 2032 90

10.2. Omnichannel 91

10.2.1. Global Omnichannel Artificial Intelligence in Retail Market Revenue, By Region, 2018 – 2023 (USD Million) 92

10.2.2. Global Omnichannel Artificial Intelligence in Retail Market Revenue, By Region, 2024 – 2032 (USD Million) 92

10.3. Brick and Mortar 93

10.3.1. Global Brick and Mortar Artificial Intelligence in Retail Market Revenue, By Region, 2018 – 2023 (USD Million) 94

10.3.2. Global Brick and Mortar Artificial Intelligence in Retail Market Revenue, By Region, 2024 – 2032 (USD Million) 94

10.5. Brick and Mortar 95

10.5.1. Global Pure-play Online Retailers Artificial Intelligence in Retail Market Revenue, By Region, 2018 – 2023 (USD Million) 96

10.5.2. Global Pure-play Online Retailers Artificial Intelligence in Retail Market Revenue, By Region, 2024 – 2032 (USD Million) 96

CHAPTER NO. 11 : ARTIFICIAL INTELLIGENCE IN RETAIL MARKET – REGIONAL ANALYSIS 97

11.1. Artificial Intelligence in Retail Market Overview, by Regional Segments 97

11.2. Region 98

11.2.1. Global Artificial Intelligence in Retail Market Revenue Share, By Region, 2023 & 2032 98

11.2.2. Artificial Intelligence in Retail Market Attractiveness Analysis, By Region 99

11.2.3. Incremental Revenue Growth Opportunity, by Region, 2024 – 2032 99

11.2.4. Artificial Intelligence in Retail Market Revenue, By Region, 2018, 2023, 2027 & 2032 100

11.2.5. Global Artificial Intelligence in Retail Market Revenue, By Region, 2018 – 2023 (USD Million) 101

11.2.6. Global Artificial Intelligence in Retail Market Revenue, By Region, 2024 – 2032 (USD Million) 101

11.3. Component 102

11.4. Global Artificial Intelligence in Retail Market Revenue, By Component, 2018 – 2023 (USD Million) 102

11.5. Global Artificial Intelligence in Retail Market Revenue, By Component, 2024 – 2032 (USD Million) 102

11.6. Business Function 103

11.7. Global Artificial Intelligence in Retail Market Revenue, By Business Function, 2018 – 2023 (USD Million) 103

11.7.1. Global Artificial Intelligence in Retail Market Revenue, By Business Function, 2024 – 2032 (USD Million) 103

11.8. Technology 104

11.9. Global Artificial Intelligence in Retail Market Revenue, By Technology, 2018 – 2023 (USD Million) 104

11.9.1. Global Artificial Intelligence in Retail Market Revenue, By Technology, 2024 – 2032 (USD Million) 104

11.10. Sales Channel 105

11.10.1. Global Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2018 – 2023 (USD Million) 105

11.10.2. Global Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2024 – 2032 (USD Million) 105

CHAPTER NO. 12 : ARTIFICIAL INTELLIGENCE IN RETAIL MARKET – NORTH AMERICA 106

12.1. North America 106

12.1.1. Key Highlights 106

12.1.2. North America Artificial Intelligence in Retail Market Revenue, By Country, 2018 – 2023 (USD Million) 107

12.2. Component 108

12.3. North America Artificial Intelligence in Retail Market Revenue, By Component, 2018 – 2023 (USD Million) 108

12.4. North America Artificial Intelligence in Retail Market Revenue, By Component, 2024 – 2032 (USD Million) 108

12.5. Business Function 109

12.6. North America Artificial Intelligence in Retail Market Revenue, By Business Function, 2018 – 2023 (USD Million) 109

12.6.1. North America Artificial Intelligence in Retail Market Revenue, By Business Function, 2024 – 2032 (USD Million) 109

12.7. Technology 110

12.8. North America Artificial Intelligence in Retail Market Revenue, By Technology, 2018 – 2023 (USD Million) 110

12.8.1. North America Artificial Intelligence in Retail Market Revenue, By Technology, 2024 – 2032 (USD Million) 110

12.9. Sales Channel 111

12.9.1. North America Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2018 – 2023 (USD Million) 111

12.9.2. North America Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2024 – 2032 (USD Million) 111

12.10. U.S. 112

12.11. Canada 112

12.12. Mexico 112

CHAPTER NO. 13 : ARTIFICIAL INTELLIGENCE IN RETAIL MARKET – EUROPE 113

13.1. Europe 113

13.1.1. Key Highlights 113

13.1.2. Europe Artificial Intelligence in Retail Market Revenue, By Country, 2018 – 2023 (USD Million) 114

13.2. Component 115

13.3. Europe Artificial Intelligence in Retail Market Revenue, By Component, 2018 – 2023 (USD Million) 115

13.4. Europe Artificial Intelligence in Retail Market Revenue, By Component, 2024 – 2032 (USD Million) 115

13.5. Business Function 116

13.6. Europe Artificial Intelligence in Retail Market Revenue, By Business Function, 2018 – 2023 (USD Million) 116

13.6.1. Europe Artificial Intelligence in Retail Market Revenue, By Business Function, 2024 – 2032 (USD Million) 116

13.7. Technology 117

13.8. Europe Artificial Intelligence in Retail Market Revenue, By Technology, 2018 – 2023 (USD Million) 117

13.8.1. Europe Artificial Intelligence in Retail Market Revenue, By Technology, 2024 – 2032 (USD Million) 117

13.9. Sales Channel 118

13.9.1. Europe Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2018 – 2023 (USD Million) 118

13.9.2. Europe Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2024 – 2032 (USD Million) 118

13.10. UK 119

13.11. France 119

13.12. Germany 119

13.13. Italy 119

13.14. Spain 119

13.15. Russia 119

13.16. Belgium 119

13.17. Netherland 119

13.18. Austria 119

13.19. Sweden 119

13.20. Poland 119

13.21. Denmark 119

13.22. Switzerland 119

13.23. Rest of Europe 119

CHAPTER NO. 14 : ARTIFICIAL INTELLIGENCE IN RETAIL MARKET – ASIA PACIFIC 120

14.1. Asia Pacific 120

14.1.1. Key Highlights 120

14.1.2. Asia Pacific Artificial Intelligence in Retail Market Revenue, By Country, 2018 – 2023 (USD Million) 121

14.2. Component 122

14.3. Asia Pacific Artificial Intelligence in Retail Market Revenue, By Component, 2018 – 2023 (USD Million) 122

14.4. Asia Pacific Artificial Intelligence in Retail Market Revenue, By Component, 2024 – 2032 (USD Million) 122

14.5. Business Function 123

14.6. Asia Pacific Artificial Intelligence in Retail Market Revenue, By Business Function, 2018 – 2023 (USD Million) 123

14.6.1. Asia Pacific Artificial Intelligence in Retail Market Revenue, By Business Function, 2024 – 2032 (USD Million) 123

14.7. Technology 124

14.8. Asia Pacific Artificial Intelligence in Retail Market Revenue, By Technology, 2018 – 2023 (USD Million) 124

14.8.1. Asia Pacific Artificial Intelligence in Retail Market Revenue, By Technology, 2024 – 2032 (USD Million) 124

14.9. Sales Channel 125

14.9.1. Asia Pacific Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2018 – 2023 (USD Million) 125

14.9.2. Asia Pacific Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2024 – 2032 (USD Million) 125

14.10. China 126

14.11. Japan 126

14.12. South Korea 126

14.13. India 126

14.14. Australia 126

14.15. Thailand 126

14.16. Indonesia 126

14.17. Vietnam 126

14.18. Malaysia 126

14.19. Philippines 126

14.20. Taiwan 126

14.21. Rest of Asia Pacific 126

CHAPTER NO. 15 : ARTIFICIAL INTELLIGENCE IN RETAIL MARKET – LATIN AMERICA 127

15.1. Latin America 127

15.1.1. Key Highlights 127

15.1.2. Latin America Artificial Intelligence in Retail Market Revenue, By Country, 2018 – 2023 (USD Million) 128

15.2. Component 129

15.3. Latin America Artificial Intelligence in Retail Market Revenue, By Component, 2018 – 2023 (USD Million) 129

15.4. Latin America Artificial Intelligence in Retail Market Revenue, By Component, 2024 – 2032 (USD Million) 129

15.5. Business Function 130

15.6. Latin America Artificial Intelligence in Retail Market Revenue, By Business Function, 2018 – 2023 (USD Million) 130

15.6.1. Latin America Artificial Intelligence in Retail Market Revenue, By Business Function, 2024 – 2032 (USD Million) 130

15.7. Technology 131

15.8. Latin America Artificial Intelligence in Retail Market Revenue, By Technology, 2018 – 2023 (USD Million) 131

15.8.1. Latin America Artificial Intelligence in Retail Market Revenue, By Technology, 2024 – 2032 (USD Million) 131

15.9. Sales Channel 132

15.9.1. Latin America Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2018 – 2023 (USD Million) 132

15.9.2. Latin America Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2024 – 2032 (USD Million) 132

15.10. Brazil 133

15.11. Argentina 133

15.12. Peru 133

15.13. Chile 133

15.14. Colombia 133

15.15. Rest of Latin America 133

CHAPTER NO. 16 : ARTIFICIAL INTELLIGENCE IN RETAIL MARKET – MIDDLE EAST 134

16.1. Middle East 134

16.1.1. Key Highlights 134

16.1.2. Middle East AI in retail Market Revenue, By Country, 2018 – 2023 (USD Million) 135

16.2. Component 136

16.3. Middle East Artificial Intelligence in Retail Market Revenue, By Component, 2018 – 2023 (USD Million) 136

16.4. Middle East Artificial Intelligence in Retail Market Revenue, By Component, 2024 – 2032 (USD Million) 136

16.5. Business Function 137

16.6. Middle East Artificial Intelligence in Retail Market Revenue, By Business Function, 2018 – 2023 (USD Million) 137

16.6.1. Middle East Artificial Intelligence in Retail Market Revenue, By Business Function, 2024 – 2032 (USD Million) 137

16.7. Technology 138

16.8. Middle East Artificial Intelligence in Retail Market Revenue, By Technology, 2018 – 2023 (USD Million) 138

16.8.1. Middle East Artificial Intelligence in Retail Market Revenue, By Technology, 2024 – 2032 (USD Million) 138

16.9. Sales Channel 139

16.9.1. Middle East Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2018 – 2023 (USD Million) 139

16.9.2. Middle East Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2024 – 2032 (USD Million) 139

16.10. UAE 140

16.11. KSA 140

16.12. Israel 140

16.13. Turkey 140

16.14. Iran 140

16.15. Rest of Middle East 140

CHAPTER NO. 17 : ARTIFICIAL INTELLIGENCE IN RETAIL MARKET – AFRICA 141

17.1. Africa 141

17.1.1. Key Highlights 141

17.1.2. Africa Artificial Intelligence in Retail Market Revenue, By Country, 2018 – 2023 (USD Million) 142

17.2. Component 143

17.3. Africa Artificial Intelligence in Retail Market Revenue, By Component, 2018 – 2023 (USD Million) 143

17.4. Africa Artificial Intelligence in Retail Market Revenue, By Component, 2024 – 2032 (USD Million) 143

17.5. Business Function 144

17.6. Africa Artificial Intelligence in Retail Market Revenue, By Business Function, 2018 – 2023 (USD Million) 144

17.6.1. Africa Artificial Intelligence in Retail Market Revenue, By Business Function, 2024 – 2032 (USD Million) 144

17.7. Technology 145

17.8. Africa Artificial Intelligence in Retail Market Revenue, By Technology, 2018 – 2023 (USD Million) 145

17.8.1. Africa Artificial Intelligence in Retail Market Revenue, By Technology, 2024 – 2032 (USD Million) 145

17.9. Sales Channel 146

17.9.1. Africa Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2018 – 2023 (USD Million) 146

17.9.2. Africa Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2024 – 2032 (USD Million) 146

17.10. Egypt 147

17.11. Nigeria 147

17.12. Algeria 147

17.13. Morocco 147

17.14. Rest of Africa 147

CHAPTER NO. 18 : COMPANY PROFILES 148

18.1. Salesforce, Inc. 148

18.1.1. Company Overview 148

18.1.2. Product Portfolio 148

18.1.3. Swot Analysis 148

18.1.4. Business Strategy 149

18.1.5. Financial Overview 149

18.2. NVIDIA Corporation 150

18.3. IBM Corporation 150

18.4. Oracle Corporation 150

18.5. SAP SE 150

18.6. Microsoft Corporation 150

18.7. Sentient technologies 150

18.8. Google LLC 150

18.9. Intel Corporation 150

18.10. Amazon 150

18.11. ServiceNow 150

18.12. Accenture 150

18.13. Infosys 150

18.14. Fujitsu 150

18.15. Others 150

 

List of Figures

FIG NO. 1. Global Artificial Intelligence in Retail Market Revenue, 2018 – 2032 (USD Million) 34

FIG NO. 2. Porter’s Five Forces Analysis for Global Artificial Intelligence in Retail Market 41

FIG NO. 3. Value Chain Analysis for Global Artificial Intelligence in Retail Market 42

FIG NO. 4. Company Share Analysis, 2023 44

FIG NO. 5. Company Share Analysis, 2023 44

FIG NO. 6. Company Share Analysis, 2023 45

FIG NO. 7. Artificial Intelligence in Retail Market – Company Revenue Market Share, 2023 46

FIG NO. 8. Artificial Intelligence in Retail Market Revenue Share, By Component, 2023 & 2032 52

FIG NO. 9. Market Attractiveness Analysis, By Component 53

FIG NO. 10. Incremental Revenue Growth Opportunity by Component, 2024 – 2032 53

FIG NO. 11. Artificial Intelligence in Retail Market Revenue, By Component, 2018, 2023, 2027 & 2032 54

FIG NO. 12. Global Artificial Intelligence in Retail Market for Solution, Revenue (USD Million) 2018 – 2032 55

FIG NO. 13. Global Artificial Intelligence in Retail Market for Services, Revenue (USD Million) 2018 – 2032 57

FIG NO. 14. Artificial Intelligence in Retail Market Revenue Share, By Business Function, 2023 & 2032 60

FIG NO. 15. Market Attractiveness Analysis, By Business Function 61

FIG NO. 16. Incremental Revenue Growth Opportunity by Business Function, 2024 – 2032 61

FIG NO. 17. Artificial Intelligence in Retail Market Revenue, By Business Function, 2018, 2023, 2027 & 2032 62

FIG NO. 18. Global Artificial Intelligence in Retail Market for Marketing & Sales, Revenue (USD Million) 2018 – 2032 63

FIG NO. 19. Global Artificial Intelligence in Retail Market for Human Resources, Revenue (USD Million) 2018 – 2032 65

FIG NO. 20. Global Artificial Intelligence in Retail Market for Finance & Accounting, Revenue (USD Million) 2018 – 2032 67

FIG NO. 21. Global Artificial Intelligence in Retail Market for Operations, Revenue (USD Million) 2018 – 2032 69

FIG NO. 22. Global Artificial Intelligence in Retail Market for Cybersecurity, Revenue (USD Million) 2018 – 2032 71

FIG NO. 23. Artificial Intelligence in Retail Market Revenue Share, By Technology, 2023 & 2032 74

FIG NO. 24. Market Attractiveness Analysis, By Technology 75

FIG NO. 25. Incremental Revenue Growth Opportunity by Technology, 2024 – 2032 75

FIG NO. 26. Artificial Intelligence in Retail Market Revenue, By Technology, 2018, 2023, 2027 & 2032 76

FIG NO. 27. Global Artificial Intelligence in Retail Market for Machine Learning, Revenue (USD Million) 2018 – 2032 77

FIG NO. 28. Global Artificial Intelligence in Retail Market for Natural Language Processing, Revenue (USD Million) 2018 – 2032 79

FIG NO. 29. Global Artificial Intelligence in Retail Market for Chatbots, Revenue (USD Million) 2018 – 2032 81

FIG NO. 30. Global Artificial Intelligence in Retail Market for Image and Video Analytics, Revenue (USD Million) 2018 – 2032 83

FIG NO. 31. Global Artificial Intelligence in Retail Market for Swarm Intelligence, Revenue (USD Million) 2018 – 2032 85

FIG NO. 32. Artificial Intelligence in Retail Market Revenue Share, By Sales Channel, 2023 & 2032 88

FIG NO. 33. Market Attractiveness Analysis, By Sales Channel 89

FIG NO. 34. Incremental Revenue Growth Opportunity by Sales Channel, 2024 – 2032 89

FIG NO. 35. Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2018, 2023, 2027 & 2032 90

FIG NO. 36. Global Artificial Intelligence in Retail Market for Omnichannel, Revenue (USD Million) 2018 – 2032 91

FIG NO. 37. Global Artificial Intelligence in Retail Market for Brick and Mortar, Revenue (USD Million) 2018 – 2032 93

FIG NO. 38. Global Artificial Intelligence in Retail Market for Pure-play Online Retailers, Revenue (USD Million) 2018 – 2032 95

FIG NO. 39. Global Artificial Intelligence in Retail Market Revenue Share, By Region, 2023 & 2032 98

FIG NO. 40. Market Attractiveness Analysis, By Region 99

FIG NO. 41. Incremental Revenue Growth Opportunity by Region, 2024 – 2032 99

FIG NO. 42. Artificial Intelligence in Retail Market Revenue, By Region, 2018, 2023, 2027 & 2032 100

FIG NO. 43. North America Artificial Intelligence in Retail Market Revenue, 2018 – 2032 (USD Million) 106

FIG NO. 44. Europe Artificial Intelligence in Retail Market Revenue, 2018 – 2032 (USD Million) 113

FIG NO. 45. Asia Pacific Artificial Intelligence in Retail Market Revenue, 2018 – 2032 (USD Million) 120

FIG NO. 46. Latin America Artificial Intelligence in Retail Market Revenue, 2018 – 2032 (USD Million) 127

FIG NO. 47. Middle East Artificial Intelligence in Retail Market Revenue, 2018 – 2032 (USD Million) 134

FIG NO. 48. Africa Artificial Intelligence in Retail Market Revenue, 2018 – 2032 (USD Million) 141

List of Tables

TABLE NO. 1. : Global Artificial Intelligence in Retail Market: Snapshot 33

TABLE NO. 2. : Drivers for the Artificial Intelligence in Retail Market: Impact Analysis 37

TABLE NO. 3. : Restraints for the Artificial Intelligence in Retail Market: Impact Analysis 39

TABLE NO. 4. : Global Artificial Intelligence in Retail Market for Solution, By Region, 2018 – 2023 (USD Million) 56

TABLE NO. 5. : Global Artificial Intelligence in Retail Market for Solution, By Region, 2024 – 2032 (USD Million) 56

TABLE NO. 6. : Global Artificial Intelligence in Retail Market for Services Revenue, By Region, 2018 – 2023 (USD Million) 58

TABLE NO. 7. : Global Artificial Intelligence in Retail Market for Services Revenue, By Region, 2024 – 2032 (USD Million) 58

TABLE NO. 8. : Global Marketing & Sales Artificial Intelligence in Retail Market Revenue, By Region, 2018 – 2023 (USD Million) 64

TABLE NO. 9. : Global Marketing & Sales Artificial Intelligence in Retail Market Revenue, By Region, 2024 – 2032 (USD Million) 64

TABLE NO. 10. : Global Human Resources Artificial Intelligence in Retail Market Revenue, By Region, 2018 – 2023 (USD Million) 66

TABLE NO. 11. : Global Human Resources Artificial Intelligence in Retail Market Revenue, By Region, 2024 – 2032 (USD Million) 66

TABLE NO. 12. : Global Finance & Accounting Artificial Intelligence in Retail Market Revenue, By Region, 2018 – 2023 (USD Million) 68

TABLE NO. 13. : Global Finance & Accounting Artificial Intelligence in Retail Market Revenue, By Region, 2024 – 2032 (USD Million) 68

TABLE NO. 14. : Global Operations Artificial Intelligence in Retail Market Revenue, By Region, 2018 – 2023 (USD Million) 70

TABLE NO. 15. : Global Operations Artificial Intelligence in Retail Market Revenue, By Region, 2024 – 2032 (USD Million) 70

TABLE NO. 16. : Global Cybersecurity Artificial Intelligence in Retail Market Revenue, By Region, 2018 – 2023 (USD Million) 72

TABLE NO. 17. : Global Cybersecurity Artificial Intelligence in Retail Market Revenue, By Region, 2024 – 2032 (USD Million) 72

TABLE NO. 18. : Global Machine Learning Artificial Intelligence in Retail Market Revenue, By Region, 2018 – 2023 (USD Million) 78

TABLE NO. 19. : Global Machine Learning Artificial Intelligence in Retail Market Revenue, By Region, 2024 – 2032 (USD Million) 78

TABLE NO. 20. : Global Artificial Intelligence in Retail Market Revenue for Natural Language Processing, By Region, 2018 – 2023 (USD Million) 80

TABLE NO. 21. : Global Artificial Intelligence in Retail Market Revenue for Natural Language Processing, By Region, 2024 – 2032 (USD Million) 80

TABLE NO. 22. : Global Chatbots Artificial Intelligence in Retail Market Revenue, By Region, 2018 – 2023 (USD Million) 82

TABLE NO. 23. : Global Chatbots Artificial Intelligence in Retail Market Revenue, By Region, 2024 – 2032 (USD Million) 82

TABLE NO. 24. : Global Artificial Intelligence in Retail Market Revenue for Image and Video Analytics, By Region, 2018 – 2023 (USD Million) 84

TABLE NO. 25. : Global Artificial Intelligence in Retail Market Revenue for Image and Video Analytics, By Region, 2024 – 2032 (USD Million) 84

TABLE NO. 26. : Global Artificial Intelligence in Retail Market Revenue for Swarm Intelligence, By Region, 2018 – 2023 (USD Million) 86

TABLE NO. 27. : Global Artificial Intelligence in Retail Market Revenue for Swarm Intelligence, By Region, 2024 – 2032 (USD Million) 86

TABLE NO. 28. : Global Omnichannel Artificial Intelligence in Retail Market Revenue, By Region, 2018 – 2023 (USD Million) 92

TABLE NO. 29. : Global Omnichannel Artificial Intelligence in Retail Market Revenue, By Region, 2024 – 2032 (USD Million) 92

TABLE NO. 30. : Global Brick and Mortar Artificial Intelligence in Retail Market Revenue, By Region, 2018 – 2023 (USD Million) 94

TABLE NO. 31. : Global Brick and Mortar Artificial Intelligence in Retail Market Revenue, By Region, 2024 – 2032 (USD Million) 94

TABLE NO. 32. : Global Pure-play Online Retailers Artificial Intelligence in Retail Market Revenue, By Region, 2018 – 2023 (USD Million) 96

TABLE NO. 33. : Global Pure-play Online Retailers Artificial Intelligence in Retail Market Revenue, By Region, 2024 – 2032 (USD Million) 96

TABLE NO. 34. : Global Artificial Intelligence in Retail Market Revenue, By Region, 2018 – 2023 (USD Million) 101

TABLE NO. 35. : Global Artificial Intelligence in Retail Market Revenue, By Region, 2024 – 2032 (USD Million) 101

TABLE NO. 36. : Global Artificial Intelligence in Retail Market Revenue, By Component, 2018 – 2023 (USD Million) 102

TABLE NO. 37. : Global Artificial Intelligence in Retail Market Revenue, By Component, 2024 – 2032 (USD Million) 102

TABLE NO. 38. : Global Artificial Intelligence in Retail Market Revenue, By Business Function, 2018 – 2023 (USD Million) 103

TABLE NO. 39. : Global Artificial Intelligence in Retail Market Revenue, By Business Function, 2024 – 2032 (USD Million) 103

TABLE NO. 40. : Global Artificial Intelligence in Retail Market Revenue, By Technology, 2018 – 2023 (USD Million) 104

TABLE NO. 41. : Global Artificial Intelligence in Retail Market Revenue, By Technology, 2024 – 2032 (USD Million) 104

TABLE NO. 42. : Global Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2018 – 2023 (USD Million) 105

TABLE NO. 43. : Global Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2024 – 2032 (USD Million) 105

TABLE NO. 44. : North America Artificial Intelligence in Retail Market Revenue, By Country, 2018 – 2023 (USD Million) 107

TABLE NO. 45. : North America Artificial Intelligence in Retail Market Revenue, By Country, 2024 – 2032 (USD Million) 107

TABLE NO. 46. : North America Artificial Intelligence in Retail Market Revenue, By Component, 2018 – 2023 (USD Million) 108

TABLE NO. 47. : North America Artificial Intelligence in Retail Market Revenue, By Component, 2024 – 2032 (USD Million) 108

TABLE NO. 48. : North America Artificial Intelligence in Retail Market Revenue, By Business Function, 2018 – 2023 (USD Million) 109

TABLE NO. 49. : North America Artificial Intelligence in Retail Market Revenue, By Business Function, 2024 – 2032 (USD Million) 109

TABLE NO. 50. : North America Artificial Intelligence in Retail Market Revenue, By Technology, 2018 – 2023 (USD Million) 110

TABLE NO. 51. : North America Artificial Intelligence in Retail Market Revenue, By Technology, 2024 – 2032 (USD Million) 110

TABLE NO. 52. : North America Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2018 – 2023 (USD Million) 111

TABLE NO. 53. : North America Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2024 – 2032 (USD Million) 111

TABLE NO. 54. : Europe Artificial Intelligence in Retail Market Revenue, By Country, 2018 – 2023 (USD Million) 114

TABLE NO. 55. : Europe Artificial Intelligence in Retail Market Revenue, By Country, 2024 – 2032 (USD Million) 114

TABLE NO. 56. : Europe Artificial Intelligence in Retail Market Revenue, By Component, 2018 – 2023 (USD Million) 115

TABLE NO. 57. : Europe Artificial Intelligence in Retail Market Revenue, By Component, 2024 – 2032 (USD Million) 115

TABLE NO. 58. : Europe Artificial Intelligence in Retail Market Revenue, By Business Function, 2018 – 2023 (USD Million) 116

TABLE NO. 59. : Europe Artificial Intelligence in Retail Market Revenue, By Business Function, 2024 – 2032 (USD Million) 116

TABLE NO. 60. : Europe Artificial Intelligence in Retail Market Revenue, By Technology, 2018 – 2023 (USD Million) 117

TABLE NO. 61. : Europe Artificial Intelligence in Retail Market Revenue, By Technology, 2024 – 2032 (USD Million) 117

TABLE NO. 62. : Europe Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2018 – 2023 (USD Million) 118

TABLE NO. 63. : Europe Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2024 – 2032 (USD Million) 118

TABLE NO. 64. : Asia Pacific Artificial Intelligence in Retail Market Revenue, By Country, 2018 – 2023 (USD Million) 121

TABLE NO. 65. : Asia Pacific Artificial Intelligence in Retail Market Revenue, By Country, 2024 – 2032 (USD Million) 121

TABLE NO. 66. : Asia Pacific Artificial Intelligence in Retail Market Revenue, By Component, 2018 – 2023 (USD Million) 122

TABLE NO. 67. : Asia Pacific Artificial Intelligence in Retail Market Revenue, By Component, 2024 – 2032 (USD Million) 122

TABLE NO. 68. : Asia Pacific Artificial Intelligence in Retail Market Revenue, By Business Function, 2018 – 2023 (USD Million) 123

TABLE NO. 69. : Asia Pacific Artificial Intelligence in Retail Market Revenue, By Business Function, 2024 – 2032 (USD Million) 123

TABLE NO. 70. : Asia Pacific Artificial Intelligence in Retail Market Revenue, By Technology, 2018 – 2023 (USD Million) 124

TABLE NO. 71. : Asia Pacific Artificial Intelligence in Retail Market Revenue, By Technology, 2024 – 2032 (USD Million) 124

TABLE NO. 72. : Asia Pacific Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2018 – 2023 (USD Million) 125

TABLE NO. 73. : Asia Pacific Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2024 – 2032 (USD Million) 125

TABLE NO. 74. : Latin America Artificial Intelligence in Retail Market Revenue, By Country, 2018 – 2023 (USD Million) 128

TABLE NO. 75. : Latin America Artificial Intelligence in Retail Market Revenue, By Country, 2024 – 2032 (USD Million) 128

TABLE NO. 76. : Latin America Artificial Intelligence in Retail Market Revenue, By Component, 2018 – 2023 (USD Million) 129

TABLE NO. 77. : Latin America Artificial Intelligence in Retail Market Revenue, By Component, 2024 – 2032 (USD Million) 129

TABLE NO. 78. : Latin America Artificial Intelligence in Retail Market Revenue, By Business Function, 2018 – 2023 (USD Million) 130

TABLE NO. 79. : Latin America Artificial Intelligence in Retail Market Revenue, By Business Function, 2024 – 2032 (USD Million) 130

TABLE NO. 80. : Latin America Artificial Intelligence in Retail Market Revenue, By Technology, 2018 – 2023 (USD Million) 131

TABLE NO. 81. : Latin America Artificial Intelligence in Retail Market Revenue, By Technology, 2024 – 2032 (USD Million) 131

TABLE NO. 82. : Latin America Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2018 – 2023 (USD Million) 132

TABLE NO. 83. : Latin America Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2024 – 2032 (USD Million) 132

TABLE NO. 84. : Middle East AI in retail Market Revenue, By Country, 2018 – 2023 (USD Million) 135

TABLE NO. 85. : Middle East AI in retail Market Revenue, By Country, 2024 – 2032 (USD Million) 135

TABLE NO. 86. : Middle East Artificial Intelligence in Retail Market Revenue, By Component, 2018 – 2023 (USD Million) 136

TABLE NO. 87. : Middle East Artificial Intelligence in Retail Market Revenue, By Component, 2024 – 2032 (USD Million) 136

TABLE NO. 88. : Middle East Artificial Intelligence in Retail Market Revenue, By Business Function, 2018 – 2023 (USD Million) 137

TABLE NO. 89. : Middle East Artificial Intelligence in Retail Market Revenue, By Business Function, 2024 – 2032 (USD Million) 137

TABLE NO. 90. : Middle East Artificial Intelligence in Retail Market Revenue, By Technology, 2018 – 2023 (USD Million) 138

TABLE NO. 91. : Middle East Artificial Intelligence in Retail Market Revenue, By Technology, 2024 – 2032 (USD Million) 138

TABLE NO. 92. : Middle East Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2018 – 2023 (USD Million) 139

TABLE NO. 93. : Middle East Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2024 – 2032 (USD Million) 139

TABLE NO. 94. : Africa Artificial Intelligence in Retail Market Revenue, By Country, 2018 – 2023 (USD Million) 142

TABLE NO. 95. : Africa Artificial Intelligence in Retail Market Revenue, By Country, 2024 – 2032 (USD Million) 142

TABLE NO. 96. : Africa Artificial Intelligence in Retail Market Revenue, By Component, 2018 – 2023 (USD Million) 143

TABLE NO. 97. : Africa Artificial Intelligence in Retail Market Revenue, By Component, 2024 – 2032 (USD Million) 143

TABLE NO. 98. : Africa Artificial Intelligence in Retail Market Revenue, By Business Function, 2018 – 2023 (USD Million) 144

TABLE NO. 99. : Africa Artificial Intelligence in Retail Market Revenue, By Business Function, 2024 – 2032 (USD Million) 144

TABLE NO. 100. : Africa Artificial Intelligence in Retail Market Revenue, By Technology, 2018 – 2023 (USD Million) 145

TABLE NO. 101. : Africa Artificial Intelligence in Retail Market Revenue, By Technology, 2024 – 2032 (USD Million) 145

TABLE NO. 102. : Africa Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2018 – 2023 (USD Million) 146

TABLE NO. 103. : Africa Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2024 – 2032 (USD Million) 146

 

Frequently Asked Questions

What is the current size of the Global Artificial Intelligence in Retail Market?

The global artificial intelligence in retail market is projected to grow from USD 9,856.19 million in 2024 to USD 86,532.60 million by 2032, reflecting an impressive compound annual growth rate (CAGR) of 31.20% during the forecast period.

What factors are driving the growth of the Global Artificial Intelligence in Retail Market?

The growth of the global artificial intelligence in retail market is driven by the increasing adoption of AI-powered tools to enhance customer experiences, streamline operations, and optimize supply chain management. The demand for personalized shopping experiences, integration of AI with technologies like IoT and big data analytics, and the expansion of e-commerce and omnichannel retailing are major contributors to market growth. Additionally, the availability of cloud-based AI solutions and the emphasis on data-driven decision-making further propel the market forward.

What are the key segments within the Global Artificial Intelligence in Retail Market?

The key segments within the global artificial intelligence in retail market include:
• By Component: Solution and Services
• By Business Function: Marketing & Sales, Human Resources, Finance & Accounting, Operations, and Cybersecurity
• By Technology: Machine Learning, Natural Language Processing, Chatbots, Image and Video Analytics, and Swarm Intelligence
• By Sales Channel: Omnichannel and Brick and Mortar
• By Geography: North America, Europe, Asia Pacific, Latin America, Middle East, and Africa

What are some challenges faced by the Global Artificial Intelligence in Retail Market?

Key challenges include data privacy concerns and regulatory compliance, such as adhering to GDPR and CCPA. Retailers also face high implementation costs for AI solutions, which can be a barrier for small and medium-sized businesses. Additionally, the need for robust cybersecurity measures to protect sensitive customer data and limited accessibility to advanced AI technologies in emerging markets pose significant obstacles.

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

Major players in the global artificial intelligence in retail market include Salesforce, NVIDIA, IBM, Oracle, SAP, Microsoft, Google, Intel Corporation, Amazon, ServiceNow, Accenture, Infosys, and Fujitsu. These companies are driving innovation through AI-powered solutions, such as chatbots, predictive analytics, and inventory management systems, to enhance customer engagement and operational efficiency.

Germany Artificial Intelligence in Finance Market

Published:
Report ID: 74953

Artificial Intelligence Chip Market

Published:
Report ID: 74184

Artificial Urinary Sphincter Market

Published:
Report ID: 69140

Artificial Hair Integration Market

Published:
Report ID: 42434

U.S. Artificial Intelligence in Retail Market

Published:
Report ID: 73774

Germany Artificial Intelligence in Retail Market

Published:
Report ID: 73279

South Africa Artificial Intelligence in Retail Market

Published:
Report ID: 72946

Middle East Artificial Intelligence in Retail Market

Published:
Report ID: 72898

France Artificial Intelligence in Retail Market

Published:
Report ID: 72895

Converged Infrastructure Management Market

Published:
Report ID: 75622

Latin America Police Modernization Market

Published:
Report ID: 75602

Computer Vision in Healthcare Market

Published:
Report ID: 75581

Component Content Management Systems Market

Published:
Report ID: 75567

Combined Heat and Power (CHP) Systems Market

Published:
Report ID: 75538

China Data Center Physical Security Market

Published:
Report ID: 75532

France Enterprise Monitoring Market

Published:
Report ID: 75493

Vietnam Police Modernization Market

Published:
Report ID: 75498

India Enterprise Monitoring Market

Published:
Report ID: 75490

South Korea Enterprise Monitoring Market

Published:
Report ID: 75491

Australia Enterprise Monitoring Market

Published:
Report ID: 75492

India Mega Data Centers Market

Published:
Report ID: 57996

Purchase Options

The report comes as a view-only PDF document, optimized for individual clients. This version is recommended for personal digital use and does not allow printing.
$4699

To meet the needs of modern corporate teams, our report comes in two formats: a printable PDF and a data-rich Excel sheet. This package is optimized for internal analysis and multi-location access, making it an excellent choice for organizations with distributed workforce.
$5699

The report will be delivered in printable PDF format along with the report’s data Excel sheet. This license offers 100 Free Analyst hours where the client can utilize Credence Research Inc.’s research team. It is highly recommended for organizations seeking to execute short, customized research projects related to the scope of the purchased report.
$7699

Smallform of Sample request

Have a question?

User Profile

Don’t settle for less – trust Mitul to help you find the best solution.

Report delivery within 24 to 48 hours

– Other Info –

What people say?-

User Review

I am very impressed with the information in this report. The author clearly did their research when they came up with this product and it has already given me a lot of ideas.

Jana Schmidt
CEDAR CX Technologies

– Connect with us –

Phone

+91 6232 49 3207


support

24/7 Research Support


sales@credenceresearch.com

– Research Methodology –

Going beyond the basics: advanced techniques in research methodology

– Trusted By –

Pepshi, LG, Nestle
Motorola, Honeywell, Johnson and johnson
LG Chem, SIEMENS, Pfizer
Unilever, Samsonite, QIAGEN