The artificial intelligence (AI) shopping assistant market size is expected to see exponential growth in the next few years. It will grow to $15.34 billion in 2030 at a compound annual growth rate (CAGR) of 27.6%. The growth during the forecast period can be attributed to the growing need for real-time product recommendations, increasing use of data analytics to gain customer behavior insights, rising emphasis on improving conversion rates, and growing deployment of artificial intelligence (AI) in mobile shopping applications. Major trends during the forecast period include advancements in multimodal artificial intelligence (AI) shopping assistants, advancements 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.
The rising penetration of e-commerce is anticipated to drive the growth of the artificial intelligence (AI) shopping assistant market going forward. E-commerce penetration refers to the growing proportion of consumers purchasing goods and services through online platforms instead of traditional retail channels. The increase in e-commerce penetration is attributed to growing internet and smartphone access, which enables consumers to shop anytime and from anywhere while comparing a greater number of products and prices than in physical stores. Artificial intelligence (AI) shopping assistants facilitate e-commerce penetration by offering real-time product recommendations, personalized search results, automated query responses, price comparisons, and seamless purchasing guidance, thereby improving customer satisfaction and increasing 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 1.19 trillion in 2024, reflecting an 8.1% increase from 2023, with electronic commerce accounting for 16.1% of total sales compared with 15.3% in 2023, while fourth quarter 2024 electronic commerce sales increased 9.4% from the fourth quarter of 2023. Therefore, the rising e-commerce penetration is contributing to the growth of the artificial intelligence (AI) shopping assistant market.
Key companies operating in the artificial intelligence (AI) shopping assistant market are concentrating on technological advancements, such as conversational and multimodal artificial intelligence (AI), to provide personalized, seamless, and context-aware shopping experiences. Conversational and multimodal artificial intelligence (AI) refers to technology that enables shoppers to interact naturally, refine their preferences in real time, and receive recommendations that reflect personal style, body fit, and fashion trends, improving engagement and increasing conversion. For example, in June 2025, Daydream Inc., a US-based artificial intelligence (AI) startup, launched its first chat-based shopping agent designed exclusively for fashion, providing 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 functions as a trusted personal shopper. Shoppers can interact naturally, upload images for visual context, and receive personalized recommendations based on silhouette, fit, fabric, and style preferences, without depending on rigid filters or dropdown menus. The launch demonstrates the growing emphasis on AI-driven retail solutions that integrate domain expertise, multimodal understanding, and natural language interaction. By providing highly personalized and contextually aware shopping experiences, the Daydream AI assistant enables fashion retailers to improve customer satisfaction, simplify product discovery, and increase sales while reshaping the future of digital commerce.
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. seeks 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.
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.
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.
The countries covered in the artificial intelligence (AI) shopping assistant market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
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Table of Contents
Executive Summary
Artificial Intelligence (AI) Shopping Assistant Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses artificial intelligence (ai) shopping assistant market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for artificial intelligence (ai) shopping assistant? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai) shopping assistant market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Scope
Markets Covered:
1) By Offering: Solution; Services2) 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 Solutions2) 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
Companies Mentioned: 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
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentations: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
- 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

