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Artificial Intelligence (AI) Shopping Assistant Market Value Growth And Long-Term Outlook
The artificial intelligence (AI) shopping assistant market size has witnessed remarkable expansion in recent years. It is forecast to increase from $5.28 billion in 2025 to $6.90 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 30.6%. This past growth can be ascribed to several contributing factors, including the rising acceptance of personalized shopping experiences, an escalating need for automated customer support, the increased utilization of AI chatbots in e-commerce, enhanced integration of visual and voice search technologies, and the broader penetration of online retail.
The artificial intelligence (AI) shopping assistant market size is projected to experience rapid expansion over the coming years. This market is forecast to reach $19.91 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 30.3%. Factors driving this growth include the escalating demand for instant product suggestions, the expanded application of data analytics to understand consumer behavior, an increased emphasis on enhancing conversion rates, and the broader integration of artificial intelligence (AI) into mobile shopping applications. Key trends anticipated during this period encompass developments in multimodal artificial intelligence (AI) shopping assistants, progress in hyper-personalized recommendation systems, breakthroughs in generative artificial intelligence (AI) for conversational retail, novel approaches in visual and voice-activated product searches, and the merging of artificial intelligence (AI) assistants with augmented reality (AR) or virtual reality (VR) shopping environments.
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Artificial Intelligence (AI) Shopping Assistant Market Growth Momentum: What Factors Are Shaping Demand?
The increasing adoption of e-commerce is anticipated to stimulate the future expansion of the artificial intelligence (AI) shopping assistant market. E-commerce penetration describes the growing proportion of consumers who purchase goods and services through online platforms rather than traditional retail channels. This rise in e-commerce adoption stems from enhanced internet and smartphone accessibility, which allows consumers to shop conveniently from any location at any time and compare a broader range of products and prices than found in physical stores. Artificial intelligence (AI) shopping assistants bolster e-commerce penetration by offering real-time product recommendations, personalized search outcomes, automated query responses, price comparisons, and streamlined purchasing guidance, thereby elevating customer satisfaction and improving conversion rates for retailers. For example, as reported by the United States Census Bureau, a US-based government statistical agency, in February 2025, total electronic commerce sales reached 1,192.6 billion in 2024, marking an 8.1% increase from 2023. Electronic commerce constituted 16.1% of total sales, compared with 15.3% in 2023, and fourth quarter 2024 electronic commerce sales grew 9.4% from the fourth quarter of 2023. Hence, the increasing e-commerce penetration is a key driver for the growth of the artificial intelligence (AI) shopping assistant market.
Artificial Intelligence (AI) Shopping Assistant Market Segment Landscape: Which Areas Lead Development?
The artificial intelligence (AI) shopping assistant market covered in this report is segmented –
1) By Offering: Solution, Services
2) By Technology: Natural Language Processing (NLP), Machine Learning (ML), Computer Vision (CV), Other Technologies
3) By Deployment Model: Cloud-Based, On-Premise, Hybrid
4) By Application: Product Discovery, Personalized Recommendations, Price Comparison and Deals, Virtual Try-On, Customer Support, Checkout and Payments
5) By End-User: Banking, Financial Services, and Insurance, Retail and E-Commerce, Healthcare, Travel and Hospitality, Media and Entertainment, Other End-Users
Subsegments:
1) By Solution: AI-Powered Product Recommendation Engines, Virtual Shopping Assistants and Chatbots, Visual Search and Image Recognition Solutions, Voice-Based Shopping Assistant Platforms, Price Comparison and Dynamic Pricing Tools, Personalized Customer Journey and Behavior Analytics Solutions
2) By Services: Deployment and Integration Services, AI Training and Customization Services, Consulting and Strategy Services, Managed AI Shopping Assistant Services, Support and Maintenance Services, Data Annotation and Model Optimization Services
Artificial Intelligence (AI) Shopping Assistant Market Trends Redefining Industry Growth
Leading companies active in the artificial intelligence (AI) shopping assistant market are concentrating on technological advancements, such as conversational and multimodal artificial intelligence (AI), to deliver customized, smooth, and context-aware shopping experiences. This conversational and multimodal artificial intelligence (AI) technology allows shoppers to interact naturally, refine their preferences in real time, and receive recommendations that reflect their personal style, body fit, and fashion trends, thereby boosting engagement and driving conversions. For example, in June 2025, Daydream Inc., a US-based artificial intelligence (AI) startup, unveiled its initial chat-based shopping agent specifically designed for fashion, providing a forward-thinking chat-to-shop experience. Driven by advanced natural language understanding and an array of artificial intelligence (AI) models, including OpenAI, Google Gemini, and proprietary systems, the agent serves as a trusted personal shopper. Shoppers can engage in natural conversation, upload images for visual context, and obtain personalized recommendations based on silhouette, fit, fabric, and style preferences, without depending on restrictive filters or dropdowns. The introduction of this agent highlights the increasing focus on AI-driven retail solutions that combine industry expertise, multimodal comprehension, and natural language interaction. By providing highly personalized and contextually informed shopping experiences, the Daydream AI assistant enables fashion retailers to improve customer satisfaction, streamline discovery, and enhance sales, while simultaneously redefining the landscape of digital commerce.
Artificial Intelligence (AI) Shopping Assistant Market Key Participants And Competitive Landscape
Major companies operating in the artificial intelligence (AI) shopping assistant market are Amazon.com Inc., Google LLC, Microsoft Corporation, Yusp Ltd., Adobe Inc., Shopify Inc., Athos Commerce Inc., Intercom Inc., Algonomy Software Private Limited, Bloomreach Inc., Coveo Solutions Inc., LivePerson Inc., Algolia Inc., Perfect Corp., Clerk.io ApS, Syte Visual Conception Ltd., Nosto Solutions Ltd., ViSenze Pte. Ltd., Recombee a.s., Vue.ai
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Artificial Intelligence (AI) Shopping Assistant Market Geographic Analysis: Where Is Demand Rising Fastest?
North America was the largest region in the artificial intelligence (AI) shopping assistant market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) shopping assistant market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
