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North America AI Shopping Assistant Market Size, Share & Industry Analysis Report By Offering (Solution, and Services), By Technology (Natural Language Processing (NLP), Machine Learning (ML), Computer Vision (CV), and Other Technology), By End-use, By Ty

Published Aug 26, 2025
Length 190 Pages
SKU # KBV20375059

Description

The North America AI Shopping Assistant Market would witness market growth of 25.4% CAGR during the forecast period (2025-2032).

The US market dominated the North America AI Shopping Assistant Market by Country in 2024, and would continue to be a dominant market till 2032; thereby, achieving a market value of $5,474.8 million by 2032. The Canada market is experiencing a CAGR of 28.4% during (2025 - 2032). Additionally, The Mexico market would exhibit a CAGR of 26.8% during (2025 - 2032). The US and Canada led the North America AI Shopping Assistant Market by Country with a market share of 75.2% and 9.9% in 2024.

The North American AI shopping assistant market is rapidly advancing, driven by retailer demand for enhanced customer experiences, inventory management, and pricing optimization. Moving from rule-based chatbots in the early 2010s to sophisticated, multimodal AI by the mid-2020s, growth is fueled by rising e-commerce, robust cloud infrastructure, and cutting-edge natural language processing. Events like the COVID-19 pandemic hastened digital adoption, and the widespread use of voice assistants set higher standards for commerce. Today, generative AI enables natural, context-aware product recommendations and dynamic content across text, voice, and visuals. Government-backed responsible AI initiatives in the US and Canada further stimulate retail innovation.

Rising multimodal, cross-platform AI assistants, the increasing significance of responsible and privacy-conscious AI, and the incorporation of generative AI into personalized commerce are some of the major trends influencing the market. In addition to prioritizing ethical AI deployment and adherence to laws like the CCPA, major players like Amazon, Shopify, Google, Walmart, and Target are fostering innovation through platform integration, AI model development, and strategic acquisitions. These initiatives are aided by cloud providers like AWS, Azure, and Google Cloud, which provide co-development opportunities and scalable infrastructure. In order to provide seamless, customized, and safe shopping experiences that utilize AI across channels, a dynamic ecosystem of tech behemoths, retail incumbents, and niche startups make up the competitive landscape.

Offering Outlook

Based on Offering, the market is segmented into Solution, and Services. With a compound annual growth rate (CAGR) of 27.9% over the projection period, the Solution Market, dominate the Canada AI Shopping Assistant Market by Offering in 2024 and would be a prominent market until 2032. The Services market is expected to witness a CAGR of 29.4% during (2025 - 2032).

End-use Outlook

Based on End-use, the market is segmented into Retail & E-Commerce, BFSI, Healthcare, Travel & Hospitality, Media & Entertainment, and Other End-use. The Retail & E-Commerce market segment dominated the US AI Shopping Assistant Market by End-use is expected to grow at a CAGR of 24 % during the forecast period thereby continuing its dominance until 2032. Also, The Travel & Hospitality market is anticipated to grow as a CAGR of 26 % during the forecast period during (2025 - 2032).

Country Outlook

The presence of AI-native businesses, broad digital adoption, and technological leadership has made the US the largest and most developed market for AI shopping assistants in North America. With the rise in online shopping brought on by COVID-19, the development of AI in retail has accelerated, from the first chatbots in the 2010s to the generative AI tools of today. Strong digital infrastructure, the prevalence of smart devices, and large investments made by tech companies and retailers—backed by federal guidelines like the "Blueprint for an AI Bill of Rights"—are important factors. Generative AI is being used by big players like Amazon, Walmart, and Google to customize customer experiences with features like contextual learning, conversational checkout, and intelligent product recommendations. The U.S. market is becoming more competitive as a result of platforms like Shopify that allow smaller retailers to implement AI-driven personalization.

List of Key Companies Profiled
  • Amazon.com, Inc.
  • Google LLC
  • Shopify Inc.
  • Salesforce, Inc.
  • Apple, Inc.
  • Microsoft Corporation
  • Alibaba Group Holding Limited
  • eBay, Inc.
  • Adobe, Inc.
  • Walmart, Inc.
North America AI Shopping Assistant Market Report Segmentation

By Offering
  • Solution
  • Services
By Technology
  • Natural Language Processing (NLP)
  • Machine Learning (ML)
  • Computer Vision (CV)
  • Other Technology
By End-use
  • Retail & E-Commerce
  • BFSI
  • Healthcare
  • Travel & Hospitality
  • Media & Entertainment
  • Other End-use
By Type
  • Text
  • Voice
  • Multimodal
  • Visual
By Country
  • US
  • Canada
  • Mexico
  • Rest of North America

Table of Contents

190 Pages
Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 North America AI Shopping Assistant Market, by Offering
1.4.2 North America AI Shopping Assistant Market, by Technology
1.4.3 North America AI Shopping Assistant Market, by End-use
1.4.4 North America AI Shopping Assistant Market, by Type
1.4.5 North America AI Shopping Assistant Market, by Country
1.5 Methodology for the research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Market Challenges
Chapter 4. Market Trends – AI Shopping Assistant Market
Chapter 5. State of Competition – AI Shopping Assistant Market
Chapter 6. Product Life Cycle – AI Shopping Assistant Market
Chapter 7. Market Consolidation – AI Shopping Assistant Market
Chapter 8. Competition Analysis - Global
8.1 KBV Cardinal Matrix
8.2 Recent Industry Wide Strategic Developments
8.2.1 Partnerships, Collaborations and Agreements
8.2.2 Product Launches and Product Expansions
8.2.3 Acquisition and Mergers
8.3 Market Share Analysis, 2024
8.4 Top Winning Strategies
8.4.1 Key Leading Strategies: Percentage Distribution (2021-2025)
8.4.2 Key Strategic Move: (Product Launches and Product Expansions: 2024, Feb – 2025, Jun) Leading Players
8.5 Porter Five Forces Analysis
Chapter 9. Value Chain Analysis – AI Shopping Assistant Market
9.1 Research & Development (R&D)
9.2 Data Acquisition & Management
9.3 AI Training & Model Optimization
9.4 Platform Development & Integration
9.5 User Interface (UX/UI) & Experience Design
9.6 Marketing & Go-to-Market (GTM)
9.7 Deployment & Customization
9.8 Operations & Support
9.9 Feedback Loop & Continuous Improvement
Chapter 10. Key Customer Criteria – AI Shopping Assistant Market
Chapter 11. North America AI Shopping Assistant Market by Offering
11.1 North America Solution Market by Country
11.2 North America Services Market by Country
Chapter 12. North America AI Shopping Assistant Market by Technology
12.1 North America Natural Language Processing (NLP) Market by Country
12.2 North America Machine Learning (ML) Market by Country
12.3 North America Computer Vision (CV) Market by Country
12.4 North America Other Technology Market by Country
Chapter 13. North America AI Shopping Assistant Market by End-use
13.1 North America Retail & E-Commerce Market by Country
13.2 North America BFSI Market by Country
13.3 North America Healthcare Market by Country
13.4 North America Travel & Hospitality Market by Country
13.5 North America Media & Entertainment Market by Country
13.6 North America Other End-use Market by Country
Chapter 14. North America AI Shopping Assistant Market by Type
14.1 North America Text Market by Country
14.2 North America Voice Market by Country
14.3 North America Multimodal Market by Country
14.4 North America Visual Market by Country
Chapter 15. North America AI Shopping Assistant Market by Country
15.1 US AI Shopping Assistant Market
15.1.1 US AI Shopping Assistant Market by Offering
15.1.2 US AI Shopping Assistant Market by Technology
15.1.3 US AI Shopping Assistant Market by End-use
15.1.4 US AI Shopping Assistant Market by Type
15.2 Canada AI Shopping Assistant Market
15.2.1 Canada AI Shopping Assistant Market by Offering
15.2.2 Canada AI Shopping Assistant Market by Technology
15.2.3 Canada AI Shopping Assistant Market by End-use
15.2.4 Canada AI Shopping Assistant Market by Type
15.3 Mexico AI Shopping Assistant Market
15.3.1 Mexico AI Shopping Assistant Market by Offering
15.3.2 Mexico AI Shopping Assistant Market by Technology
15.3.3 Mexico AI Shopping Assistant Market by End-use
15.3.4 Mexico AI Shopping Assistant Market by Type
15.4 Rest of North America AI Shopping Assistant Market
15.4.1 Rest of North America AI Shopping Assistant Market by Offering
15.4.2 Rest of North America AI Shopping Assistant Market by Technology
15.4.3 Rest of North America AI Shopping Assistant Market by End-use
15.4.4 Rest of North America AI Shopping Assistant Market by Type
Chapter 16. Company Profiles
16.1 Amazon.com, Inc.
16.1.1 Company Overview
16.1.2 Financial Analysis
16.1.3 Segmental Analysis
16.1.4 Recent strategies and developments:
16.1.4.1 Product Launches and Product Expansions:
16.1.4.2 Acquisition and Mergers:
16.1.5 SWOT Analysis
16.2 Google LLC
16.2.1 Company Overview
16.2.2 Financial Analysis
16.2.3 Segmental and Regional Analysis
16.2.4 Research & Development Expenses
16.2.5 Recent strategies and developments:
16.2.5.1 Product Launches and Product Expansions:
16.2.6 SWOT Analysis
16.3 Shopify Inc.
16.3.1 Company Overview
16.3.2 Financial Analysis
16.3.3 Research & Development Expenses
16.3.4 Recent strategies and developments:
16.3.4.1 Product Launches and Product Expansions:
16.4 Salesforce, Inc.
16.4.1 Company Overview
16.4.2 Financial Analysis
16.4.3 Regional Analysis
16.4.4 Research & Development Expenses
16.4.5 Recent strategies and developments:
16.4.5.1 Product Launches and Product Expansions:
16.4.5.2 Acquisition and Mergers:
16.4.6 SWOT Analysis
16.5 Apple, Inc.
16.5.1 Company Overview
16.5.2 Financial Analysis
16.5.3 Regional Analysis
16.5.4 Research & Development Expense
16.5.5 SWOT Analysis
16.6 Microsoft Corporation
16.6.1 Company Overview
16.6.2 Financial Analysis
16.6.3 Segmental and Regional Analysis
16.6.4 Research & Development Expenses
16.6.5 Recent strategies and developments:
16.6.5.1 Partnerships, Collaborations, and Agreements:
16.6.5.2 Product Launches and Product Expansions:
16.6.6 SWOT Analysis
16.7 Alibaba Group Holding Limited
16.7.1 Company Overview
16.7.2 Financial Analysis
16.7.3 Segmental Analysis
16.7.4 Recent strategies and developments:
16.7.4.1 Product Launches and Product Expansions:
16.8 eBay, Inc.
16.8.1 Company Overview
16.8.2 Financial Analysis
16.8.3 Regional Analysis
16.8.4 Recent strategies and developments:
16.8.4.1 Partnerships, Collaborations, and Agreements:
16.8.4.2 Product Launches and Product Expansions:
16.8.4.3 Acquisition and Mergers:
16.8.5 SWOT Analysis
16.9 Adobe, Inc.
16.9.1 Company Overview
16.9.2 Financial Analysis
16.9.3 Segmental and Regional Analysis
16.9.4 Research & Development Expense
16.9.5 Recent strategies and developments:
16.9.5.1 Partnerships, Collaborations, and Agreements:
16.9.5.2 Product Launches and Product Expansions:
16.9.6 SWOT Analysis
16.10. Walmart, Inc.
16.10.1 Company Overview
16.10.2 Financial Analysis
16.10.3 Segmental and Regional Analysis
16.10.4 Recent strategies and developments:
16.10.4.1 Product Launches and Product Expansions:
16.10.5 SWOT Analysis
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