Artificial Intelligence (AI) Shopping Assistant Market Report 2026

Artificial Intelligence (AI) Shopping Assistant Market Overview

• Artificial Intelligence (AI) Shopping Assistant market size has reached to $5.28 billion in 2025 • Expected to grow to $19.91 billion in 2030 at a compound annual growth rate (CAGR) of 30.3% • Growth Driver: Rising E-Commerce Penetration Fueling The Growth Of The Market Due To Increasing Need For Personalized, AI-Driven Shopping Support • Market Trend: Revolutionizing Fashion Retail With Conversational Artificial Intelligence (AI)-Shopping Assistants • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.

What Is Covered Under Artificial Intelligence (AI) Shopping Assistant Market?

An artificial intelligence (AI) shopping assistant is a digital tool that uses artificial intelligence to help users discover, compare, and select products more efficiently. It analyzes preferences, behavior, and real-time data to deliver personalized recommendations and guidance during the shopping process. The assistant enhances the overall experience by automating product search, providing intelligent suggestions, and supporting seamless decision-making. The main offering artificial intelligence (AI) shopping assistant include solution, and services. A solution is a comprehensive method, product, or service designed to address a specific problem or fulfill a particular need. Different technologies are natural language processing (NLP), machine learning (ML), computer vision (CV), and others. Multiple deployment models are cloud-based, on-premise, and hybrid. Various applications are product discovery, personalized recommendations, price comparison and deals, virtual try-on, customer support, and checkout and payments, and they are used by several end-users such as banking, financial services, and insurance; retail and e-commerce; healthcare; travel and hospitality; media and entertainment; and others.

What Is The Artificial Intelligence (AI) Shopping Assistant Market Growth Forecast?

The artificial intelligence (AI) shopping assistant market size is expected to see exponential growth in the next few years. It will grow to $19.91 billion in 2030 at a compound annual growth rate (CAGR) of 30.3%. The growth in the forecast period can be attributed to growing need for real-time product recommendations, increasing use of data analytics for customer behavior insights, rising focus on improving conversion rates, and growing deployment of artificial intelligence (AI) in mobile shopping apps. Major trends in the forecast period include advancement in multimodal artificial intelligence (AI) shopping assistants, advancement in hyper-personalized recommendation engines, innovation in generative artificial intelligence (AI) for conversational commerce, innovation in visual and voice-driven product search, and integration of artificial intelligence (AI) assistants with augmented reality (AR) or virtual reality (VR) shopping experiences.

Global Artificial Intelligence (AI) Shopping Assistant Market Segmentation

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

What Is The Driver Of The Artificial Intelligence (AI) Shopping Assistant Market?

The rising e-commerce penetration is expected to propel the growth of the artificial intelligence (AI) shopping assistant market going forward. E-commerce penetration refers to the increasing share of consumers purchasing goods and services through online platforms rather than traditional retail channels. The rise in e-commerce penetration is due to increasing internet and smartphone access that lets consumers shop anytime from anywhere and compare more products and prices than in physical stores. Artificial intelligence (AI) shopping assistants support e-commerce penetration by providing real-time product recommendations, personalized search results, automated queries, price comparisons, and seamless purchasing guidance, enhancing customer satisfaction and boosting conversion rates for retailers. For instance, in February 2025, according to the United States Census Bureau, a US-based government statistical agency, total electronic commerce sales reached 1,192.6 billion in 2024 reflecting an 8.1% increase from 2023 with electronic commerce representing 16.1% of total sales compared with 15.3% in 2023 and fourth quarter 2024 electronic commerce sales rising 9.4% from the fourth quarter of 2023. Therefore, the rising e-commerce penetration is driving the growth of the artificial intelligence (AI) shopping assistant industry.

Key Players In The Global Artificial Intelligence (AI) Shopping Assistant Market

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

Global Artificial Intelligence (AI) Shopping Assistant Market Trends and Insights

Major companies operating in the artificial intelligence (AI) shopping assistant market are focusing on technological advancements, such as conversational and multimodal artificial intelligence (AI), to deliver personalized, seamless, and context-aware shopping experiences. Conversational and multimodal artificial intelligence (AI) refers to technology that enables shoppers to interact naturally, refine preferences in real time, and receive recommendations that reflect personal style, body fit, and fashion trends, enhancing engagement and driving conversion. For instance, in June 2025, Daydream Inc., a US-based artificial intelligence (AI) startup, launched its first chat-based shopping agent built exclusively for fashion, offering a fashion-forward chat-to-shop experience. Powered by advanced natural language understanding and an ensemble of artificial intelligence (AI) models, including OpenAI, Google Gemini, and proprietary systems, the agent acts as a trusted personal shopper. Shoppers can converse naturally, upload images for visual context, and receive personalized recommendations based on silhouette, fit, fabric, and style preferences, without relying on rigid filters or dropdowns. The launch highlights the growing focus on AI-driven retail solutions that combine domain expertise, multimodal understanding, and natural language interaction. By delivering highly personalized and contextually aware shopping experiences, the Daydream AI assistant empowers fashion retailers to enhance customer satisfaction, streamline discovery, and increase sales while redefining the future of digital commerce.

What Are Latest Mergers And Acquisitions In The Artificial Intelligence (AI) Shopping Assistant Market?

In November 2024, Bluecore Inc., a US‑based retail artificial intelligence and customer‑engagement platform provider, acquired alby Inc. for an undisclosed amount. Through this acquisition, Bluecore Inc. aims to strengthen its artificial‑intelligence‑driven commerce solutions by integrating alby Inc.’s conversational AI and real‑time shopping assistance technologies, enabling more personalized customer experiences, enhanced product discovery, and improved conversion across digital retail channels. alby Inc. is a US‑based company specializing in AI shopping assistant solutions.

Regional Insights

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 this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

What Defines the Artificial Intelligence (AI) Shopping Assistant Market?

The artificial intelligence (AI) shopping assistant market consists of revenues earned by entities by providing services such as personalized product recommendations, automated customer support, and artificial intelligence (AI)-driven shopping guidance. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI shopping assistant market includes sales of ai-powered recommendation engines, virtual assistant tools, price comparison algorithms, visual search technologies, and automated shopping support software. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

How is Market Value Defined and Measured?

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

What Key Data and Analysis Are Included in the Artificial Intelligence (AI) Shopping Assistant Market Report 2026?

The artificial intelligence (ai) shopping assistant market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (ai) shopping assistant industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.