Market Forecast by Countries (United States, Canada), By Type (Online, Offline), By Service (Professional, Managed), By Technology (Machine Learning, Deep Learning, NLP) And Competitive Landscape
| Product Code: ETC4621262 | Publication Date: Jul 2023 | Updated Date: Dec 2025 | Product Type: Report | |
| Publisher: 6Wresearch | Author: Ravi Bhandari | No. of Pages: 200 | No. of Figures: 90 | No. of Tables: 300 |
According to 6Wresearch internal database and industry insights, the North America Artificial Intelligence in Retail Market was valued at USD 5.2 billion in 2025 and is projected to reach nearly USD 15.6 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 16.2% during the forecast period (2026-2032).
Below mentioned are the evaluation of year-wise growth rate along with key drivers:
| Years | Est. Annual Growth (%) | Growth Drivers |
| 2021 | 13.5 | Surge in e-commerce and omnichannel retail trends, adoption of AI-powered chatbots and virtual assistants. |
| 2022 | 14.2 | Increased investment in AI solutions for customer personalization and inventory management. |
| 2023 | 15 | Growing demand for AI in supply chain optimization and in-store experiences for enhanced customer engagement. |
| 2024 | 15.8 | More retailers adopting AI for predictive analytics, personalized marketing, and demand forecasting. |
| 2025 | 15.1 | Expansion of AI-powered solutions in the retail sector as customer expectations rise for personalized services and faster delivery. |
The North America Artificial Intelligence in Retail Market report thoroughly covers the market by countries, types, services, technologies, and applications. The market report provides an unbiased and detailed analysis of ongoing market trends, opportunities, and market drivers, which would help stakeholders devise and align their market strategies according to the current and future market dynamics.
| Report Name | North America Artificial Intelligence in Retail Market |
| Forecast Period | 2026-2032 |
| Market Size | USD 15.6 billion by 2032 |
| CAGR | 16.2% |
| Growing Sector | Online Retail |
The North America Artificial Intelligence in Retail Market is expected to grow robustly. The market is mainly driven by increasing integration of AI technologies in e-commerce retail platforms. Also, growing trends towards in-store retail experiences and supply chain management are expected to boost this industry demand. Major key drivers of this industry include having great predictive analytics and automation systems to increase customer overall experience and give a personalized shopping experience to increase consumer retention. Also, efficiency, profitability, and customer satisfaction are expected to be increased by AI solutions like natural language processing (NLP) and deep learning algorithms.
Below mentioned are some growth drivers and their impact on market dynamics:
| Drivers | Primary Segments Affected | Why It Matters |
| E-commerce Growth | By Type (Online) | The rise of online retail is accelerating AI adoption for enhanced personalization, recommendation engines, and customer service. |
| Personalization Demand | By Service (Professional) | AI helps retailers offer personalized shopping experiences, improving customer loyalty and sales conversion. |
| AI-Powered Automation | By Technology (Machine Learning, Deep Learning, NLP) | Automation through AI streamlines processes like inventory management and predictive analytics, improving operational efficiency. |
| Customer Experience Optimization | By Type (Offline) | In-store AI technologies like smart shelves and automated checkouts enhance the customer shopping experience. |
The North America Artificial Intelligence in Retail Market is expected to grow robustly at a CAGR of 16.2% during the forecast period of 2026-2032. AI-powered chatbots for customer service and growing demand for personalized shopping experiences are expected to boost up this industry demand. Further, the companies are integrating these technologies to optimize inventory management, which will give ease in placing the orders and reducing search time. Also, growing advancements in machine learning and the usage of e-commerce platforms are going to fuel market growth. Moreover, these systems also help in getting proper feedback from consumers and providing them with customized preferred choices and styles. Altogether, these factors provide enhanced customer satisfaction and streamlined operations, thus increasing the retention rate of consumers.
Below mentioned are some major restraints and their influence on market dynamics:
| Restraints | Primary Segments Affected | What This Means |
| High Initial Costs | By Service (Managed) | Small and medium retailers may face challenges in adopting AI solutions due to high setup and integration costs. |
| Data Privacy Concerns | By Technology (Machine Learning, NLP) | Consumer concerns about data privacy may hinder the adoption of AI-based personalized services. |
| Complexity in Implementation | By Type (Online, Offline) | Complex AI systems may require significant time and expertise for integration, deterring some retailers from adopting the technology. |
The North America Artificial Intelligence in Retail Market faces multiple challenges in its path of growth. The challenges are related to high initial implementation costs and data privacy issues. Also, it is not easy to integrate AI systems with existing retail infrastructure, as it lacks skilled workers and strategy. The cost of possessing the necessary technology and the challenges related to consumer data security can slow down adoption, mainly among smaller retailers.
Some major trends contributing to the development of North America Artificial Intelligence in Retail Market Growth are:
Here are some investment opportunities in the North America Artificial Intelligence in Retail Industry:
Here are some of the top companies contributing to the North America Artificial Intelligence in Retail Market Share:
| Company Name | Amazon Web Services (AWS) |
|---|---|
| Established Year | 2006 |
| Headquarters | Seattle, Washington, United States |
| Official Website | Click Here |
AWS offers cloud-based AI tools and services, such as machine learning and NLP, that help retailers enhance customer experiences and optimize supply chains.
| Company Name | IBM Corporation |
|---|---|
| Established Year | 1911 |
| Headquarters | Armonk, New York, United States |
| Official Website | Click Here |
IBM's AI-powered Watson platform offers personalized marketing, customer engagement, and predictive analytics solutions to the retail sector.
| Company Name | Microsoft Corporation |
|---|---|
| Established Year | 1975 |
| Headquarters | Redmond, Washington, United States |
| Official Website | Click Here |
Microsoft provides AI solutions such as Azure AI, which helps retailers optimize inventory management, offer personalized experiences, and improve customer service.
| Company Name | Google LLC |
|---|---|
| Established Year | 1998 |
| Headquarters | Mountain View, California, United States |
| Official Website | Click Here |
Google offers machine learning and AI tools that help retailers improve digital marketing, customer engagement, and e-commerce strategies.
| Company Name | Salesforce |
|---|---|
| Established Year | 1999 |
| Headquarters | San Francisco, California, United States |
| Official Website | Click Here |
Salesforce's AI-powered tools, such as Einstein, provide personalized marketing, sales automation, and customer service solutions for the retail industry.
Governments in North America, especially in the U.S. and Canada, are enacting AI rules to safeguard customer privacy and promote ethical AI practices in retail. The U.S. National Institute of Standards and Technology (NIST) has established rules for the ethical utilization of AI in the retail industry, whereas Canada’s Digital Charter emphasizes the promotion of equity, openness, and privacy in AI implementations. These initiatives seek to guarantee consumer confidence and the ethical implementation of AI in the retail sector.
The North America Artificial Intelligence in Retail Market is set for substantial growth, driven by e-commerce expansion, advancements in machine learning, and rising demand for personalized shopping experiences. AI’s ability to enhance customer service, optimize inventory and supply chains, and provide actionable insights for retailers will continue to fuel its adoption. As technology evolves, AI will play an increasingly integral role in transforming the retail landscape, improving efficiency, and driving competitive advantages for businesses across the region.
The report offers a comprehensive study of the subsequent market segments and their leading categories.
According to Guneet Kaur, Senior Research Analyst, 6Wresearch, online retail is the fastest-growing segment due to the growing consumer preference for e-commerce platforms. With advancements in AI, personalized recommendations, and seamless shopping experiences, online retail continues to gain traction in North America.
Machine learning is the fastest-growing technology in AI for retail, as it enables retailers to enhance customer personalization, optimize inventory, and predict demand. Its ability to analyze large datasets and deliver actionable insights drives its widespread adoption in retail businesses.
The report offers a comprehensive study of the subsequent market segments:
| 1 Executive Summary |
| 2 Introduction |
| 2.1 Key Highlights of the Report |
| 2.2 Report Description |
| 2.3 Market Scope & Segmentation |
| 2.4 Research Methodology |
| 2.5 Assumptions |
| 3 North America Artificial Intelligence in Retail Market Overview |
| 3.1 North America Regional Macro Economic Indicators |
| 3.2 North America Artificial Intelligence in Retail Market Revenues & Volume, 2022 & 2032F |
| 3.3 North America Artificial Intelligence in Retail Market - Industry Life Cycle |
| 3.4 North America Artificial Intelligence in Retail Market - Porter's Five Forces |
| 3.5 North America Artificial Intelligence in Retail Market Revenues & Volume Share, By Countries, 2022 & 2032F |
| 3.6 North America Artificial Intelligence in Retail Market Revenues & Volume Share, By Type , 2022 & 2032F |
| 3.7 North America Artificial Intelligence in Retail Market Revenues & Volume Share, By Service , 2022 & 2032F |
| 3.8 North America Artificial Intelligence in Retail Market Revenues & Volume Share, By Technology , 2022 & 2032F |
| 4 North America Artificial Intelligence in Retail Market Dynamics |
| 4.1 Impact Analysis |
| 4.2 Market Drivers |
| 4.3 Market Restraints |
| 5 North America Artificial Intelligence in Retail Market Trends |
| 6 North America Artificial Intelligence in Retail Market, 2022 - 2032 |
| 6.1 North America Artificial Intelligence in Retail Market, Revenues & Volume, By Type , 2022 - 2032 |
| 6.2 North America Artificial Intelligence in Retail Market, Revenues & Volume, By Service , 2022 - 2032 |
| 6.3 North America Artificial Intelligence in Retail Market, Revenues & Volume, By Technology , 2022 - 2032 |
| 7 United States Artificial Intelligence in Retail Market, 2022 - 2032 |
| 7.1 United States Artificial Intelligence in Retail Market, Revenues & Volume, By Type , 2022 - 2032 |
| 7.2 United States Artificial Intelligence in Retail Market, Revenues & Volume, By Service , 2022 - 2032 |
| 7.3 United States Artificial Intelligence in Retail Market, Revenues & Volume, By Technology , 2022 - 2032 |
| 8 Canada Artificial Intelligence in Retail Market, 2022 - 2032 |
| 8.1 Canada Artificial Intelligence in Retail Market, Revenues & Volume, By Type , 2022 - 2032 |
| 8.2 Canada Artificial Intelligence in Retail Market, Revenues & Volume, By Service , 2022 - 2032 |
| 8.3 Canada Artificial Intelligence in Retail Market, Revenues & Volume, By Technology , 2022 - 2032 |
| 9 North America Artificial Intelligence in Retail Market Key Performance Indicators |
| 10 North America Artificial Intelligence in Retail Market - Opportunity Assessment |
| 10.1 North America Artificial Intelligence in Retail Market Opportunity Assessment, By Countries, 2022 & 2032F |
| 10.2 North America Artificial Intelligence in Retail Market Opportunity Assessment, By Type , 2022 & 2032F |
| 10.3 North America Artificial Intelligence in Retail Market Opportunity Assessment, By Service , 2022 & 2032F |
| 10.4 North America Artificial Intelligence in Retail Market Opportunity Assessment, By Technology , 2022 & 2032F |
| 11 North America Artificial Intelligence in Retail Market - Competitive Landscape |
| 11.1 North America Artificial Intelligence in Retail Market Revenue Share, By Companies, 2022-2032F |
| 11.2 North America Artificial Intelligence in Retail Market Competitive Benchmarking, By Operating and Technical Parameters |
| 12 Company Profiles |
| 13 Recommendations |
| 14 Disclaimer |