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North America 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

Name: North America Artificial Intelligence in Retail Market - Demand, Size and Competitive Analysis
Creator: Credence Research Inc.
Published: 2025-02-03
License: https://www.credenceresearch.com/info/privacy-policy
Keywords: North America Artificial Intelligence in Retail Market

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REPORT ATTRIBUTE	DETAILS
Historical Period	2019-2022
Base Year	2023
Forecast Period	2024-2032
North America Artificial Intelligence in Retail Market Size 2024	USD 3,457.06 million
North America Artificial Intelligence in Retail Market, CAGR	31.11%
North America Artificial Intelligence in Retail Market Size 2032	USD 30,178.24 million

Market Overview

The North America Artificial Intelligence in Retail market is expected to grow significantly, increasing from USD 3,457.06 million in 2024 to USD 30,178.24 million by 2032, at a CAGR of 31.11%.

The North America Artificial Intelligence in Retail market is driven by the growing adoption of AI technologies to enhance customer experiences, improve operational efficiency, and drive personalized marketing strategies. Retailers are increasingly leveraging AI for demand forecasting, inventory management, and personalized recommendations, leading to higher customer satisfaction and retention. Additionally, the rise of e-commerce and the need for advanced data analytics to understand consumer behavior are fueling market growth. Key trends include the integration of AI-powered chatbots for customer support, AI-driven predictive analytics for targeted promotions, and the use of computer vision for checkout-free shopping experiences. As retailers continue to invest in AI solutions to streamline operations and stay competitive, the market is expected to witness substantial growth, driven by technological advancements and a shift toward data-driven decision-making.

The North America Artificial Intelligence in Retail market is primarily driven by the U.S., which leads the region in terms of AI adoption across various retail sectors. Canada is also witnessing steady growth, with major cities like Toronto embracing AI to enhance customer experiences and optimize operations. Mexico, though at an early stage, is experiencing a rapid increase in AI adoption, particularly in e-commerce and retail technology. Key players in the market include global technology giants such as Amazon, Google LLC, Microsoft Corporation, and IBM Corporation, which provide AI-driven solutions for inventory management, personalized marketing, and customer service. Additionally, specialized AI companies like Vue.AI, Cresta, and C3.AI offer tailored AI tools for retailers, contributing to operational efficiencies and improved customer engagement. These key players are continuously innovating to meet the demands of the retail industry and support the growing trend of AI integration in North America’s retail market.

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Market Insights

The North America Artificial Intelligence in Retail market is valued at USD 3,457.06 million in 2024 and is projected to reach USD 30,178.24 million by 2032, growing at a CAGR of 31.11%.
The increasing demand for personalized customer experiences drives the adoption of AI technologies in retail, enabling better customer engagement and higher sales conversion rates.
AI technologies such as machine learning, computer vision, and NLP are transforming retail operations, enhancing inventory management, and streamlining supply chains.
Key market players include Amazon, Google, Microsoft, IBM, and emerging companies like Vue.AI and C3.AI, who lead AI innovation in the retail sector.
Data privacy concerns and high implementation costs remain significant market restraints for widespread AI adoption in the retail industry.
North America, especially the U.S., leads in AI integration, with Canada and Mexico showing significant potential for growth in AI-driven retail applications.
The competitive landscape is evolving as both established tech giants and niche AI providers focus on providing tailored solutions to retailers across various regions.

Market Drivers

Enhanced Customer Experience

The primary driver of the North America Artificial Intelligence in Retail market is the growing emphasis on enhancing customer experience. For instance, Sephora uses AI-driven tools like Colour IQ and Lip IQ to scan a customer’s face and offer tailored makeup recommendations. AI technologies, such as chatbots, recommendation engines, and virtual assistants, enable retailers to provide personalized services and tailored shopping experiences. By analyzing vast amounts of consumer data, AI tools help retailers understand individual preferences and behavior, enabling the delivery of more relevant product suggestions, promotions, and targeted marketing campaigns. This level of personalization not only improves customer satisfaction but also drives higher conversion rates and customer loyalty.

Operational Efficiency and Cost Reduction

AI in retail is also widely adopted to optimize operational efficiency and reduce costs. For example, Walmart uses AI-driven demand forecasting to ensure better inventory management and minimize stockouts. AI-driven solutions such as demand forecasting, inventory management, and automated checkout systems enable retailers to streamline their operations. By accurately predicting consumer demand, retailers can ensure better inventory management, minimizing stockouts and overstock situations. Additionally, AI tools can automate mundane tasks such as pricing adjustments and replenishment, reducing human intervention and operational costs. This increased efficiency leads to better resource allocation and higher profit margins.

Growth of E-Commerce and Online Shopping

The continued growth of e-commerce and online shopping is a significant driver of AI adoption in the retail sector. With more consumers shifting to online shopping platforms, retailers are increasingly leveraging AI to enhance their digital presence and optimize their online operations. AI applications, such as AI-powered search engines, personalized recommendations, and smart logistics solutions, help e-commerce businesses provide a seamless and engaging online shopping experience. Retailers are using AI to process large volumes of data in real-time, improving their ability to understand customer preferences and make data-driven decisions.

Technological Advancements and Innovation

Technological advancements in AI, machine learning, and data analytics are fueling the growth of AI in retail. For example, Microsoft has developed AI solutions that integrate computer vision and natural language processing to enable innovations like automated checkout and virtual try-ons. With continuous innovations in AI algorithms and processing power, retailers have access to more powerful tools that can analyze vast amounts of data and extract actionable insights. The integration of computer vision and natural language processing technologies has enabled innovations such as automated checkout, virtual try-ons, and in-store AI assistants, further enhancing customer engagement. As AI technology continues to evolve, its potential to transform the retail sector will drive sustained market growth in North America.

Market Trends

Personalization and Customer-Centric Strategies

A major trend in the North American Artificial Intelligence in Retail market is the increasing focus on personalized customer experiences. For instance, Nike uses AI-driven tools to offer personalized product recommendations through its NikePlus loyalty program, which analyzes customer data to suggest relevant products. Retailers are adopting AI-driven solutions to deliver tailored recommendations, targeted promotions, and customized shopping journeys. By leveraging data analytics and machine learning algorithms, retailers can predict consumer preferences and purchasing behavior, offering more relevant products and services. Personalized shopping experiences not only increase customer satisfaction but also drive repeat purchases and foster long-term brand loyalty, making personalization a central strategy in the retail industry.

AI-Powered Inventory and Supply Chain Management

AI is transforming inventory and supply chain management in retail by enhancing accuracy and efficiency. Retailers are utilizing AI tools for demand forecasting, inventory optimization, and logistics management. AI-driven predictive analytics help businesses anticipate customer demand, ensuring that stock levels align with actual sales trends and seasonal fluctuations. Additionally, AI-powered solutions enable more efficient route planning for delivery and optimized warehouse operations, reducing costs and improving service delivery. This trend is particularly prominent among e-commerce businesses seeking to streamline their supply chains and improve operational performance.

AI-Driven Visual and Voice Search Technologies

The integration of AI-driven visual and voice search technologies is another significant trend in the North American retail market. Retailers are increasingly using computer vision and natural language processing to improve product search and enhance the shopping experience. AI-powered visual search allows customers to upload images of products they are interested in, instantly finding similar items available for purchase. Voice search, facilitated by virtual assistants such as Amazon Alexa and Google Assistant, enables customers to shop hands-free and efficiently. These technologies are reshaping how consumers interact with online platforms, making shopping more intuitive and accessible.

Increased Use of Autonomous Retail Solutions

The trend towards autonomous retail solutions, including cashier-less stores and automated checkout systems, is gaining momentum in North America. For example, Amazon Go stores use AI-powered Just Walk Out technology, which allows customers to shop without traditional checkouts. Retailers like Amazon Go and other brick-and-mortar stores are implementing AI-powered technologies that enable customers to shop without traditional checkouts. These systems rely on a combination of computer vision, sensor technologies, and AI algorithms to track customer purchases and automate payment processes. This trend not only reduces operational costs but also enhances the customer experience by providing faster and more convenient shopping options. As technology improves, the adoption of autonomous retail solutions is expected to grow significantly in the coming years.

Market Challenges Analysis

Data Privacy and Security Concerns

One of the primary challenges facing the North American Artificial Intelligence in Retail market is data privacy and security concerns. For instance, a survey by Gulf Business Machines found that 31% of organizations in the region prioritize data privacy as their top concern amid AI adoption. As retailers increasingly adopt AI technologies to collect and analyze vast amounts of consumer data, they must ensure that sensitive customer information is protected from cyber threats and breaches. The reliance on AI-driven solutions to personalize customer experiences requires the gathering of personal data, such as browsing history, purchase behavior, and preferences, which raises concerns about the misuse or unauthorized access to this data. Stringent data protection regulations, such as the GDPR in Europe and CCPA in California, impose compliance obligations on retailers, making data security a critical issue. Retailers must invest in robust cybersecurity measures and transparent data handling practices to build consumer trust and comply with evolving regulations, adding complexity and cost to AI adoption.

High Implementation Costs and Technical Limitations

Another significant challenge in the AI adoption process is the high implementation costs and technical limitations associated with integrating AI solutions into existing retail systems. Implementing AI technologies requires significant upfront investment in infrastructure, software, and talent, making it a costly endeavor for many retailers, particularly small and mid-sized businesses. Moreover, AI systems require continuous training, monitoring, and updates to ensure optimal performance, further increasing operational costs. Additionally, technical limitations such as insufficient data quality, integration challenges with legacy systems, and the need for specialized expertise can hinder the effective deployment of AI in retail. As a result, some retailers may face difficulties in scaling AI solutions or achieving the desired outcomes, slowing down market adoption.

Market Opportunities

The North America Artificial Intelligence in Retail market presents several significant opportunities for growth and innovation. As AI technologies continue to evolve, retailers can capitalize on the increasing demand for personalized shopping experiences. The ability to leverage AI for data-driven insights enables retailers to better understand customer preferences and behavior, which opens up new avenues for targeted marketing, personalized recommendations, and dynamic pricing strategies. AI-powered tools like chatbots, virtual assistants, and recommendation engines can further enhance customer engagement, leading to improved satisfaction and loyalty. Retailers can also use AI to enhance customer service operations, automating routine inquiries and support tasks, thereby reducing operational costs and freeing up resources for more complex customer needs.

Another key opportunity lies in the optimization of supply chain and inventory management through AI. Retailers can use predictive analytics to forecast demand more accurately, ensuring they stock the right products at the right time, reducing excess inventory and minimizing stockouts. AI can also improve warehouse management, logistics, and delivery processes, creating efficiencies across the entire supply chain. As e-commerce continues to grow, AI’s role in automating operations and providing real-time insights will become even more critical. Additionally, the rise of autonomous retail solutions, such as cashier-less stores and automated checkout, offers a promising opportunity for retailers to reduce operational costs and enhance the in-store shopping experience. These opportunities, driven by technological advancements and evolving consumer expectations, provide significant growth potential for AI adoption in the North American retail market.

Market Segmentation Analysis:

By Component:

The North America Artificial Intelligence in Retail market is segmented by component into solutions and services. Solutions are the dominant segment, as AI technologies like machine learning, natural language processing, and computer vision are implemented to address specific retail challenges. These solutions are integral to enhancing customer experience, automating operations, and optimizing inventory management. Services, on the other hand, play a crucial role in ensuring the successful deployment and maintenance of AI systems. Services include consulting, system integration, and managed services, helping retailers seamlessly integrate AI solutions into their existing infrastructure. As AI adoption grows, the demand for both advanced solutions and professional services will rise, driving further market expansion.

By Business Function:

AI in retail is also segmented by business function, including marketing & sales, human resources, finance & accounting, operations, and cybersecurity. In marketing & sales, AI technologies enable personalized customer engagement, dynamic pricing, and targeted promotions. Human resources benefit from AI tools for talent acquisition, workforce optimization, and performance management. AI in finance & accounting streamlines tasks like fraud detection, auditing, and financial forecasting. Operations management is enhanced through AI-powered solutions for inventory tracking, demand forecasting, and supply chain optimization. Lastly, cybersecurity is increasingly reliant on AI to detect and mitigate potential threats, ensuring the safety of customer data and systems. Each of these business functions leverages AI to increase efficiency, reduce costs, and improve decision-making, positioning AI as a transformative force across the retail sector.

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:

S.
Canada
Mexico

Regional Analysis

U.S.

The United States dominates the North America Artificial Intelligence in Retail market, holding the largest market share in the region. As of 2024, the U.S. accounts for nearly 70% of the market, driven by the rapid adoption of AI technologies across major retail sectors. U.S. retailers, particularly e-commerce giants and large brick-and-mortar stores, are leading the way in AI adoption, utilizing advanced machine learning, computer vision, and natural language processing to enhance customer experiences and streamline operations. The increasing demand for personalized shopping experiences, coupled with the growth of data-driven decision-making, has propelled the market forward. Moreover, significant investments in AI research and development by both established retail players and startups further fuel the U.S. market’s expansion. The country’s robust technological infrastructure, coupled with its focus on innovation, continues to drive the widespread use of AI in various retail applications such as inventory management, demand forecasting, and customer service.

Canada

Canada represents a significant segment of the North America Artificial Intelligence in Retail market, holding a market share of approximately 15%. Although smaller than the U.S., Canada has seen steady growth in AI adoption, particularly in major cities like Toronto and Vancouver, where tech-driven retail solutions are being implemented. Canadian retailers are leveraging AI to enhance their operations and customer experiences, particularly in e-commerce, personalized marketing, and supply chain management. The government’s support for AI innovation through various grants and initiatives is also contributing to the growth of AI in the retail sector. Furthermore, Canadian retailers are increasingly adopting AI-powered chatbots, predictive analytics, and automation tools to improve customer engagement and optimize inventory management. As AI technology continues to advance, Canada’s retail market is expected to experience accelerated adoption of AI-driven solutions, improving both operational efficiency and customer satisfaction.

Mexico

Mexico’s Artificial Intelligence in Retail market is still in the early stages of development but is projected to grow rapidly over the next several years. Holding a market share of around 10%, Mexico presents significant opportunities for AI adoption as the retail sector continues to evolve. With an expanding e-commerce market and growing consumer demand for personalized experiences, Mexican retailers are starting to explore AI technologies to enhance their operations and meet customer expectations. Retailers in Mexico are increasingly leveraging AI for demand forecasting, supply chain optimization, and customer engagement, though the level of adoption is not as high as in the U.S. or Canada. Mexico’s retail market is expected to experience strong growth in AI as technological advancements and investment in AI solutions continue to make their way into the country. Local government initiatives and partnerships with global tech companies are expected to play a key role in the market’s expansion.

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Key Player Analysis

Amazon
Google LLC
Microsoft Corporation
Oracle Corporation
IBM Corporation
AI
Cresta
Mason
AMD
AI
Symphony AI
Bloomreach
Talkdesk
Daisy Intelligence
Others

Competitive Analysis

The competitive landscape of the North America Artificial Intelligence in Retail market is highly dynamic, driven by a combination of established technology giants and innovative specialized AI companies. Leading players such as Amazon, Google LLC, Microsoft Corporation, Oracle Corporation, and IBM Corporation are at the forefront, leveraging their vast resources and expertise to provide AI-powered solutions for inventory management, customer engagement, and personalized marketing. For instance, Amazon uses AI to optimize its supply chain and personalize customer experiences through its recommendation engine. These companies have the advantage of their strong brand presence, global reach, and extensive product portfolios, making them key players in shaping the market’s direction. These players benefit from extensive research and development capabilities, allowing them to lead in AI technology adoption. On the other hand, smaller, specialized AI firms are making significant strides by focusing on niche applications within the retail sector. They provide tailored AI solutions such as predictive analytics, customer service automation, and real-time decision-making tools. By addressing specific retail challenges, these companies carve out unique positions in the market, offering high-value solutions that complement the broader market trends. The competitive pressure is intensifying as both large and small firms continue to innovate, refine their AI technologies, and establish strategic partnerships to maintain their positions in the market. With rapid advancements in machine learning, computer vision, and natural language processing, competition is likely to increase, fostering a dynamic environment that promotes continuous innovation and market 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 North America Artificial Intelligence in Retail market exhibits moderate to high market concentration, with a few dominant players holding a significant share while a number of specialized firms contribute to the market’s overall growth. Large technology companies, which have the resources to invest in extensive research and development, play a key role in shaping the direction of the market. These companies focus on delivering AI-driven solutions that address a wide array of retail challenges, including inventory management, personalized marketing, and customer engagement. However, there is also a growing presence of smaller, specialized firms that offer targeted AI solutions for specific retail applications, such as predictive analytics, computer vision, and natural language processing. These smaller firms differentiate themselves by providing highly customizable and specialized solutions, catering to the evolving needs of retailers seeking innovative, cost-effective technologies. As the demand for AI solutions in retail increases, market characteristics are shifting towards a combination of large-scale, enterprise-level solutions and niche, specialized offerings. The market is marked by rapid innovation, with continuous advancements in AI technologies like machine learning, robotics, and automated customer service tools. This competitive environment encourages continuous improvement, fosters new product developments, and drives market growth across the region.

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

The North America Artificial Intelligence in Retail market is expected to continue its rapid growth, driven by increasing demand for personalized customer experiences.
AI technologies will further optimize supply chains, improving inventory management, demand forecasting, and logistics.
E-commerce will play a pivotal role in AI adoption, with retailers leveraging AI to enhance online shopping experiences and automate customer service.
Advancements in machine learning and natural language processing will enable more accurate product recommendations and targeted marketing strategies.
As AI solutions become more accessible, small and medium-sized retailers will increasingly adopt these technologies to remain competitive.
Retailers will integrate AI with other technologies such as the Internet of Things (IoT) and robotics to enhance automation and efficiency in stores.
AI-driven tools for fraud detection and cybersecurity will become more advanced, addressing growing concerns over data security in the retail sector.
The demand for AI-powered chatbots and virtual assistants will rise, improving customer support and engagement across digital platforms.
Retailers will prioritize AI solutions that provide real-time analytics and actionable insights to drive business decisions and customer satisfaction.
Collaborations between tech companies and retailers will increase, leading to the development of more innovative, tailor-made AI solutions for the retail market.

CHAPTER NO. 1 : INTRODUCTION 23

1.1.1. Report Description 23

Purpose of the Report 23

USP & Key Offerings 23

1.1.2. Key Benefits for Stakeholders 23

1.1.3. Target Audience 24

1.1.4. Report Scope 24

1.1.5. Regional Scope 25

CHAPTER NO. 2 : EXECUTIVE SUMMARY 26

2.1. Artificial Intelligence in Retail Market Snapshot 26

2.1.1. North America Artificial Intelligence in Retail Market, 2018 – 2032 (USD Million) 27

CHAPTER NO. 3 : GEOPOLITICAL CRISIS IMPACT ANALYSIS 28

3.1. Russia-Ukraine and Israel-Palestine War Impacts 28

CHAPTER NO. 4 : ARTIFICIAL INTELLIGENCE IN RETAIL MARKET – INDUSTRY ANALYSIS 29

4.1. Introduction 29

4.2. Market Drivers 30

4.2.1. Driving Factor 1 Analysis 30

4.2.2. Driving Factor 2 Analysis 31

4.3. Market Restraints 32

4.3.1. Restraining Factor Analysis 32

4.4. Market Opportunities 33

4.4.1. Market Opportunity Analysis 33

4.5. Porter’s Five Force analysis 34

4.6. Value Chain Analysis 35

4.7. Buying Criteria 36

CHAPTER NO. 5 : ANALYSIS COMPETITIVE LANDSCAPE 37

5.1. Company Market Share Analysis – 2023 37

5.1.1. North America Artificial Intelligence in Retail Market: Company Market Share, by Revenue, 2023 37

5.1.2. North America Artificial Intelligence in Retail Market: Top 6 Company Market Share, by Revenue, 2023 37

5.1.3. North America Artificial Intelligence in Retail Market: Top 3 Company Market Share, by Revenue, 2023 38

5.2. North America Artificial Intelligence in Retail Market Company Revenue Market Share, 2023 39

5.3. Company Assessment Metrics, 2023 40

5.3.1. Stars 40

5.3.2. Emerging Leaders 40

5.3.3. Pervasive Players 40

5.3.4. Participants 40

5.4. Start-ups /Brick and Mortar Assessment Metrics, 2023 40

5.4.1. Progressive Companies 40

5.4.2. Responsive Companies 40

5.4.3. Dynamic Companies 40

5.4.4. Starting Blocks 40

5.5. Strategic Developments 41

5.5.1. Acquisitions & Mergers 41

New Product Launch 41

Regional Expansion 41

5.6. Key Players Product Matrix 42

CHAPTER NO. 6 : PESTEL & ADJACENT MARKET ANALYSIS 43

6.1. PESTEL 43

6.1.1. Political Factors 43

6.1.2. Economic Factors 43

6.1.3. Social Factors 43

6.1.4. Technological Factors 43

6.1.5. Environmental Factors 43

6.1.6. Legal Factors 43

6.2. Adjacent Market Analysis 43

CHAPTER NO. 7 : ARTIFICIAL INTELLIGENCE IN RETAIL MARKET – BY COMPONENT SEGMENT ANALYSIS 44

7.1. Artificial Intelligence in Retail Market Overview, by Component Segment 44

7.1.1. Artificial Intelligence in Retail Market Revenue Share, By Component, 2023 & 2032 45

7.1.2. Artificial Intelligence in Retail Market Attractiveness Analysis, By Component 46

7.1.3. Incremental Revenue Growth Opportunity, by Component, 2024 – 2032 46

7.1.4. Artificial Intelligence in Retail Market Revenue, By Component, 2018, 2023, 2027 & 2032 47

7.2. Solution 48

7.3. Services 49

CHAPTER NO. 8 : ARTIFICIAL INTELLIGENCE IN RETAIL MARKET – BY BUSINESS FUNCTION SEGMENT ANALYSIS 50

8.1. Artificial Intelligence in Retail Market Overview, by Business Function Segment 50

8.1.1. Artificial Intelligence in Retail Market Revenue Share, By Business Function, 2023 & 2032 51

8.1.2. Artificial Intelligence in Retail Market Attractiveness Analysis, By Business Function 52

8.1.3. Incremental Revenue Growth Opportunity, by Business Function, 2024 – 2032 52

8.1.4. Artificial Intelligence in Retail Market Revenue, By Business Function, 2018, 2023, 2027 & 2032 53

8.2. Marketing & Sales 54

8.3. Human Resources 55

8.4. Finance & Accounting 56

8.5. Operations 57

8.6. Cybersecurity 58

CHAPTER NO. 9 : ARTIFICIAL INTELLIGENCE IN RETAIL MARKET – BY TECHNOLOGY SEGMENT ANALYSIS 59

9.1. Artificial Intelligence in Retail Market Overview, by Technology Segment 59

9.1.1. Artificial Intelligence in Retail Market Revenue Share, By Technology, 2023 & 2032 60

9.1.2. Artificial Intelligence in Retail Market Attractiveness Analysis, By Technology 61

9.1.3. Incremental Revenue Growth Opportunity, by Technology, 2024 – 2032 61

9.1.4. Artificial Intelligence in Retail Market Revenue, By Technology, 2018, 2023, 2027 & 2032 62

9.2. Machine Learning 63

9.3. Natural Language Processing 64

9.4. Chatbots 65

9.5. Image and Video Analytics 66

9.6. Swarm Intelligence 67

CHAPTER NO. 10 : ARTIFICIAL INTELLIGENCE IN RETAIL MARKET – BY SALES CHANNEL SEGMENT ANALYSIS 68

10.1. Artificial Intelligence in Retail Market Overview, by Sales Channel Segment 68

10.1.1. Artificial Intelligence in Retail Market Revenue Share, By Sales Channel, 2023 & 2032 69

10.1.2. Artificial Intelligence in Retail Market Attractiveness Analysis, By Sales Channel 70

10.1.3. Incremental Revenue Growth Opportunity, by Sales Channel, 2024 – 2032 70

10.1.4. Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2018, 2023, 2027 & 2032 71

10.2. Omnichannel 72

10.3. Brick and Mortar 73

10.4. Brick and Mortar 74

CHAPTER NO. 11 : ARTIFICIAL INTELLIGENCE IN RETAIL MARKET – NORTH AMERICA 75

11.1. North America 75

11.1.1. Key Highlights 75

11.1.2. North America Artificial Intelligence in Retail Market Revenue, By Country, 2018 – 2023 (USD Million) 76

11.2. Component 77

11.3. North America Artificial Intelligence in Retail Market Revenue, By Component, 2018 – 2023 (USD Million) 77

11.4. North America Artificial Intelligence in Retail Market Revenue, By Component, 2024 – 2032 (USD Million) 77

11.5. Business Function 78

11.6. North America Artificial Intelligence in Retail Market Revenue, By Business Function, 2018 – 2023 (USD Million) 78

11.6.1. North America Artificial Intelligence in Retail Market Revenue, By Business Function, 2024 – 2032 (USD Million) 78

11.7. Technology 79

11.8. North America Artificial Intelligence in Retail Market Revenue, By Technology, 2018 – 2023 (USD Million) 79

11.8.1. North America Artificial Intelligence in Retail Market Revenue, By Technology, 2024 – 2032 (USD Million) 79

11.9. Sales Channel 80

11.9.1. North America Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2018 – 2023 (USD Million) 80

11.9.2. North America Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2024 – 2032 (USD Million) 80

11.10. U.S. 81

11.11. Canada 81

11.12. Mexico 81

CHAPTER NO. 12 : COMPANY PROFILES 82

12.1. Amazon 82

12.1.1. Company Overview 82

12.1.2. Product Portfolio 82

12.1.3. Swot Analysis 82

12.1.4. Business Strategy 83

12.1.5. Financial Overview 83

12.2. Google LLC 84

12.3. Microsoft Corporation 84

12.4. Oracle Corporation 84

12.5. IBM Corporation 84

12.6. Vue.AI 84

12.7. Cresta 84

12.8. Mason 84

12.9. AMD 84

12.10. C3.AI 84

12.11. Symphony AI 84

12.12. Bloomreach 84

12.13. Talkdesk 84

12.14. Daisy Intelligence 84

12.15. Others 84

List of Figures

FIG NO. 1. North America Artificial Intelligence in Retail Market Revenue, 2018 – 2032 (USD Million) 27

FIG NO. 2. Porter’s Five Forces Analysis for North America Artificial Intelligence in Retail Market 34

FIG NO. 3. Value Chain Analysis for North America Artificial Intelligence in Retail Market 35

FIG NO. 4. Company Share Analysis, 2023 37

FIG NO. 5. Company Share Analysis, 2023 37

FIG NO. 6. Company Share Analysis, 2023 38

FIG NO. 7. Artificial Intelligence in Retail Market – Company Revenue Market Share, 2023 39

FIG NO. 8. Artificial Intelligence in Retail Market Revenue Share, By Component, 2023 & 2032 45

FIG NO. 9. Market Attractiveness Analysis, By Component 46

FIG NO. 10. Incremental Revenue Growth Opportunity by Component, 2024 – 2032 46

FIG NO. 11. Artificial Intelligence in Retail Market Revenue, By Component, 2018, 2023, 2027 & 2032 47

FIG NO. 12. North America Artificial Intelligence in Retail Market for Solution, Revenue (USD Million) 2018 – 2032 48

FIG NO. 13. North America Artificial Intelligence in Retail Market for Services, Revenue (USD Million) 2018 – 2032 49

FIG NO. 14. Artificial Intelligence in Retail Market Revenue Share, By Business Function, 2023 & 2032 51

FIG NO. 15. Market Attractiveness Analysis, By Business Function 52

FIG NO. 16. Incremental Revenue Growth Opportunity by Business Function, 2024 – 2032 52

FIG NO. 17. Artificial Intelligence in Retail Market Revenue, By Business Function, 2018, 2023, 2027 & 2032 53

FIG NO. 18. North America Artificial Intelligence in Retail Market for Marketing & Sales, Revenue (USD Million) 2018 – 2032 54

FIG NO. 19. North America Artificial Intelligence in Retail Market for Human Resources, Revenue (USD Million) 2018 – 2032 55

FIG NO. 20. North America Artificial Intelligence in Retail Market for Finance & Accounting, Revenue (USD Million) 2018 – 2032 56

FIG NO. 21. North America Artificial Intelligence in Retail Market for Operations, Revenue (USD Million) 2018 – 2032 57

FIG NO. 22. North America Artificial Intelligence in Retail Market for Cybersecurity, Revenue (USD Million) 2018 – 2032 58

FIG NO. 23. Artificial Intelligence in Retail Market Revenue Share, By Technology, 2023 & 2032 60

FIG NO. 24. Market Attractiveness Analysis, By Technology 61

FIG NO. 25. Incremental Revenue Growth Opportunity by Technology, 2024 – 2032 61

FIG NO. 26. Artificial Intelligence in Retail Market Revenue, By Technology, 2018, 2023, 2027 & 2032 62

FIG NO. 27. North America Artificial Intelligence in Retail Market for Machine Learning, Revenue (USD Million) 2018 – 2032 63

FIG NO. 28. North America Artificial Intelligence in Retail Market for Natural Language Processing, Revenue (USD Million) 2018 – 2032 64

FIG NO. 29. North America Artificial Intelligence in Retail Market for Chatbots, Revenue (USD Million) 2018 – 2032 65

FIG NO. 30. North America Artificial Intelligence in Retail Market for Image and Video Analytics, Revenue (USD Million) 2018 – 2032 66

FIG NO. 31. North America Artificial Intelligence in Retail Market for Swarm Intelligence, Revenue (USD Million) 2018 – 2032 67

FIG NO. 32. Artificial Intelligence in Retail Market Revenue Share, By Sales Channel, 2023 & 2032 69

FIG NO. 33. Market Attractiveness Analysis, By Sales Channel 70

FIG NO. 34. Incremental Revenue Growth Opportunity by Sales Channel, 2024 – 2032 70

FIG NO. 35. Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2018, 2023, 2027 & 2032 71

FIG NO. 36. North America Artificial Intelligence in Retail Market for Omnichannel, Revenue (USD Million) 2018 – 2032 72

FIG NO. 37. North America Artificial Intelligence in Retail Market for Brick and Mortar, Revenue (USD Million) 2018 – 2032 73

FIG NO. 38. North America Artificial Intelligence in Retail Market for Pure-play Online Retailers, Revenue (USD Million) 2018 – 2032 74

FIG NO. 39. North America Artificial Intelligence in Retail Market Revenue, 2018 – 2032 (USD Million) 75

List of Tables

TABLE NO. 1. : North America Artificial Intelligence in Retail Market: Snapshot 22

TABLE NO. 2. : Drivers for the Artificial Intelligence in Retail Market: Impact Analysis 26

TABLE NO. 3. : Restraints for the Artificial Intelligence in Retail Market: Impact Analysis 28

TABLE NO. 4. : North America Artificial Intelligence in Retail Market Revenue, By Country, 2018 – 2023 (USD Million) 72

TABLE NO. 5. : North America Artificial Intelligence in Retail Market Revenue, By Country, 2024 – 2032 (USD Million) 72

TABLE NO. 6. : North America Artificial Intelligence in Retail Market Revenue, By Component, 2018 – 2023 (USD Million) 73

TABLE NO. 7. : North America Artificial Intelligence in Retail Market Revenue, By Component, 2024 – 2032 (USD Million) 73

TABLE NO. 8. : North America Artificial Intelligence in Retail Market Revenue, By Business Function, 2018 – 2023 (USD Million) 74

TABLE NO. 9. : North America Artificial Intelligence in Retail Market Revenue, By Business Function, 2024 – 2032 (USD Million) 74

TABLE NO. 10. : North America Artificial Intelligence in Retail Market Revenue, By Technology, 2018 – 2023 (USD Million) 75

TABLE NO. 11. : North America Artificial Intelligence in Retail Market Revenue, By Technology, 2024 – 2032 (USD Million) 75

TABLE NO. 12. : North America Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2018 – 2023 (USD Million) 76

TABLE NO. 13. : North America Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2024 – 2032 (USD Million) 76

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Frequently Asked Questions

What is the current size of the North America Artificial Intelligence in Retail market?

The North America Artificial Intelligence in Retail market is projected to grow from USD 3,457.06 million in 2024 to USD 30,178.24 million by 2032, reflecting a robust CAGR of 31.11% during the forecast period.

What factors are driving the growth of the North America Artificial Intelligence in Retail market?

Key growth drivers include the increasing demand for personalized customer experiences, the growth of e-commerce, and advancements in AI technologies such as machine learning, computer vision, and natural language processing. Retailers are leveraging AI for demand forecasting, inventory management, and customer engagement, enhancing operational efficiency and driving higher customer satisfaction and loyalty.

What are the key segments within the North America Artificial Intelligence in Retail market?

The market is segmented by components (solutions and services), business functions (marketing & sales, operations, human resources, finance & accounting, and cybersecurity), technologies (machine learning, natural language processing, chatbots, image and video analytics, and swarm intelligence), and sales channels (omnichannel and brick-and-mortar). The U.S., Canada, and Mexico are the primary geographic segments driving market growth.

What are some challenges faced by the North America Artificial Intelligence in Retail market?

Challenges include data privacy and security concerns, particularly with the reliance on sensitive customer data for AI-driven personalization. High implementation costs and technical limitations, such as integration challenges and a lack of skilled AI professionals, also pose significant barriers to widespread AI adoption, especially for small and medium-sized retailers.

Who are the major players in the North America Artificial Intelligence in Retail market?

Key players include Amazon, Google LLC, Microsoft Corporation, IBM Corporation, and Oracle Corporation, alongside specialized AI companies such as Vue.AI, Cresta, and C3.AI. These companies provide AI-powered solutions for personalized marketing, predictive analytics, inventory management, and customer service, driving innovation and adoption across the region.

About Author

Sushant Phapale

ICT & Automation Expert

Sushant is an expert in ICT, automation, and electronics with a passion for innovation and market trends.

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