Market size, share and growth analysis by offering, technology, type and end-use, across all major regions and key countries, with forecasts for 2026–2035. The competitive landscape profiles 20 companies, including Walmart Inc. and Shopify Inc..
The global AI shopping assistant market was valued at USD 5.3 Bn in 2026 and is projected to reach USD 45.4 Bn by 2035, growing at a CAGR of 26.8%. North America is the largest regional market and Asia Pacific is growing fastest.
The market size of global AI shopping assistants is estimated at USD 4.2 billion in 2025 and is expected to grow to between USD 5.3 billion in 2026 and about USD 45.4 billion by 2035, with a current CAGR (compound annual growth rate) of 26.8% during the period from 2026 to 2035.
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An AI shopping assistant is AI-powered software that helps the customers to find and buy products according to their needs and budgets. Such services and programs utilize natural language processing, recommendation systems, machine learning, and other technologies to learn about the customer’s preferences and offer the most relevant products.
E-commerce websites, apps, and messaging platforms can benefit from shopping assistants, as they can help the clients to make decisions, compare products, make the purchase easier and faster, and have a better experience during the process. The rise of assistants in the field is due to the popularity growth of e-commerce, the need for more personalized approaches, and the appearance and evolution of new languages like generative AI and conversation design.
By Offering
The solution segment held the largest revenue share in 2025 of 68.3%. The increasing demand for AI-based applications for product recommendations, search, comparison, and customer support primarily drives the growth. The growing need among e-commerce retail players to enhance their client engagement process and conversion rate will drive the market growth. Additionally, the advent of generative artificial intelligence (AI), natural language processing, and multi-modal solutions will enhance the performance of assistants, aiding higher adoption and sales in the years ahead.
The services segment is growing at the highest CAGR during the projected period. The revenue growth is mainly driven by the increasing demand for artificial intelligence deployment, integration, customization, maintenance, and technical assistance. “Companies want to build capabilities around the use of AI shopping assistants in services. Furthermore, the managed and professional services segment will grow due to the complexity of generative artificial intelligence technology and the need to optimize and secure the software.
By Technology
The Natural Language Processing (NLP) segment would have the highest share of the market in 2025. An increased demand for natural language processing-enabled smart shopping experiences is attributed to the growth. NLP enables AI shopping assistants to understand customer requests and search terms, recognize buying patterns, answer questions about items, and recommend related products in human language.
Retailers are adopting NLP-enabled virtual assistants, owing to an increasing demand for chatbots, voice shopping, and other conversation-based tools on e-commerce websites. Furthermore, the technology’s ability to simplify communication with customers in multiple languages will increase sales and revenue.
The Computer Vision (CV) segment is growing at the fastest rate over the projected period. The adoption of visual search and image recognition technologies for product discovery purposes is expected to grow dramatically in the e-commerce sector. Computer vision can enable AI shopping assistants to identify products via images, recognize their attributes, recommend similar ones, and visualize items.
Moreover, the need for easy shopping, especially for clothing, shoes, furniture, and home appliances, is projected to increase consumers’ reliance on visual search engines. In addition, technical advancements in image recognition and multimodal AI, as well as their use in product search and recommendation systems, are anticipated to raise the sales of computer vision technology.
By Type
The text segment would have the highest share of the market in 2025 of over 44%. The development of text-based chatbots and conversational interfaces in e-commerce can help to expand the segments. Such programs enable customers to search, find, compare and query the products in the chat window. In addition, they can also get personalized recommendations and purchase assistance through natural language processing. 24/7 availability, cheap communication and easy shopping are driving retailers to incorporate text-based assistants into their operations.
The multimodal segment is growing at the highest CAGR over the projected period. The segment is propelled by high demand for interactive and personalized shopping experiences, using inputs such as text, images, voice and more. Multimodal AI allows consumers to search for products using photos, voice, and chat and receive recommendations and comparisons. The emergence of visual search, voice and generative AI in e-commerce is prompting retailers to adopt multimodal solutions.
By End-use
The retail & e-commerce segment would have the highest share of the market in 2025. The growth is due to the rise in need for online shopping and personalized customer experiences. Shopping assistants enabled by artificial intelligence are used by e-commerce companies and retailers to offer product recommendations, comparisons, and automation of customer service. Also, stiff competition among online retailers, higher digital transaction rates, and demand for better client relationships have made artificial intelligence shopping tools necessary.
The healthcare segment is growing at the highest CAGR over the projected period. The segment is anticipated to grow owing to the rising demand for digital healthcare tools and the growing demand for customized product recommendations. AI shopping assistants can help consumers to search and compare healthcare products based on their needs and preferences. These include medical supplies, personal care items, wellness devices and OTC drugs. The increasing popularity of online pharmacies, health e-commerce companies and digital wellness services has been pushing organizations to implement AI shopping assistants.
| Feature of the Report | Details |
| Market Size in 2026 | USD 5.3 billion |
| Projected Market Size in 2035 | USD 45.4 billion |
| Market Size in 2025 | USD 4.2 billion |
| CAGR Growth Rate | 26.8% CAGR |
| Base Year | 2025 |
| Forecast Period | 2026-2035 |
| Key Segment | By Offering, Technology, Type, End-use and Region |
| Report Coverage | Revenue Estimation and Forecast, Company Profile, Competitive Landscape, Growth Factors and Recent Trends |
| Regional Scope | North America, Europe, Asia Pacific, Middle East & Africa, and South & Central America |
| Buying Options | Request tailored purchasing options to fulfil your requirements for research. |
Its market size, in terms of North America AI Shopping Assistant, is projected to be USD 1.6 billion in 2025 with a growth of about USD 14.6 billion in 2035 with a CAGR of 24.5% between 2026 and 2035.
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In 2025, North America will dominate the global market with an estimated market share of 39%. Growth in the U.S. and Canada is being fueled by e-commerce software adoption, improved digital infrastructure and rising artificial intelligence investments. The need for a better shopping experience – automated service, help, AI-driven recommendations – grows and retailers are using AI shopping assistants.
Moreover, the presence of major technology companies, rapid innovations in generative AI and growing consumer preference for simplified online shopping are driving market adoption and revenue growth in the region.
The US captures the highest market share in 2025. The fast growth of e-commerce, rising consumer appetite for more personalized experiences and major retailer investment in artificial intelligence technologies are driving enterprises to leverage generative AI, conversational commerce, visual search and automated shopping tools to improve product discovery, engage customers and boost conversion rates.
These investments enable companies to deploy AI assistants in the web shop and mobile app and on digital customer service platforms to enhance the role artificial intelligence plays in the purchasing cycle.
For example, Amazon has been investing more in generative and agentic AI to improve its shopping assistant, Alexa for Shopping, with automated personalized recommendations, product comparisons, and deal finding. Walmart and OpenAI partnered in October 2025 to develop AI-first shopping experiences that enable customers to find and buy products by talking.
Europe is growing at a significant rate over the projected period. The growth of the market is attributed to the rising popularity of e-commerce platforms, an increase in the demand for personalized shopping, and the rising investment in artificial intelligence by various retail giants.
In the UK, Germany, and France, retail stores are capitalizing on the use of AI shopping assistants to offer intelligent recommendations, engage in chatbot interactions, and carry out price comparisons and other automated tasks to improve the shopping experience of consumers.
Germany holds a prominent revenue share. Growth can be attributed to a rise in e-commerce, a demand for a more personalized shopping experience, and a digital transformation of the retail sector. German retailers are adopting AI-powered shopping assistants which help to offer product suggestions, perform price comparisons, answer customer questions, and make it easier to shop online.
The Asia Pacific is growing at a rapid rate over the projected period. The regional artificial intelligence (AI) market is growing rapidly due to broad acceptance of e-commerce platforms, smartphones, internet penetration, consumer spending on digital services and huge investments in artificial intelligence in China, India, Japan and South Korea.
Moreover, retailers are embracing AI shopping assistants to offer recommended and suggested products through chatbots, smart search, intelligent customer service and automated price comparison. Moreover, in March 2024, the Indian government launched a mission called the India AI Mission with an allocation of over 10,300 crore. It will aim to expand the AI computing power, cultivate AI startups, and promote the development of AI applications in the country.
China holds prominent market share in the market. The growth is driven by an explosion of e-commerce, widespread use of mobile shopping and growing investments in generative AI and agentic commerce technologies. Chinese technologists are building AI shopping assistants that are being plugged into the biggest online retail ecosystems to offer personalized product recommendations, conversational product searches, price comparisons, and automated purchasing assistance.
For instance, in May 2026 Alibaba Group integrated its Qwen AI assistant with the entire product catalog on Taobao, enabling shoppers to search, compare and purchase products through natural language conversations.
MEA is growing rapidly over the projected period. The growing e-commerce industry and increasing investment in advanced technology drive the market growth.
The UAE holds a prominent share in 2025. The rapid adoption of e-commerce, rising consumer acceptance of AI-enabled platforms, and increased investment in digital retail technologies have been cited as reasons behind the sector’s booming growth rate. In a Visa survey carried out in June 2026, 85% of UAE consumers said they had used artificial intelligence (AI) tools to help them shop.
That includes shopping for gifts, searching products, finding new things to buy, and comparing reviews. A DHL research report published in June 2026 also found that 91% of the UAE’s e-commerce companies had adopted some form of AI in their business.
The AI shopping assistant market has experienced considerable changes in the last two years as the market players are trying to diversify their technological aspects and develop product portfolios using strategic approaches.
These strategic measures have enabled the companies to reinforce their competitive positions, increase the product line, boost their technological competencies and also seize growth opportunities in the fast-growing AI shopping assistant market.
Regional Coverage:
North America
Europe
Asia Pacific
The Middle East & Africa
Latin America
Updated: October 2026 · Formats: PDF, Excel, PPT
The growth of the AI shopping assistant market is driven by the increasing adoption of e-commerce, rising demand for personalized shopping experiences, advancements in generative AI and natural language processing, growing use of multimodal AI technologies, and increasing investments in automated customer support and intelligent product recommendations.
The Asia Pacific is expected to grow at a highest rate during the forecast period driven by the growing e-commerce and increasing government initiatives.
It is projected that North America will hold the largest market share in the AI shopping assistant market in the forecast period, with a share of about 39% of the global market share, which is due to the increasing product launch with technical advancement.
According to the present analysis and forecast modeling, the market of AI shopping assistants will witness a significant growth of about USD 45.4 billion in the year 2035 with the growing government initiatives, rising investment by key players, and increasing technological advancements with a CAGR of 26.8% between the years 2026 and 2035.
Price points significantly influence the growth and adoption of the AI shopping assistant market, as affordable subscription plans and freemium models encourage adoption among small and medium-sized retailers, while premium AI solutions offering advanced personalization, multimodal search, and automated purchasing attract large enterprises. However, high implementation, integration, and maintenance costs can limit adoption among budget-conscious businesses, making cost-effective, scalable solutions with measurable returns on investment essential for expanding market penetration.
Government regulations shape the AI Shopping Assistant Market by establishing guidelines for data privacy, consumer protection, cybersecurity, transparency, and responsible AI usage. Regulations such as the EU AI Act and the General Data Protection Regulation (GDPR) influence how retailers collect customer data, generate personalized recommendations, and deploy AI-powered shopping tools. While compliance requirements may increase development and operational costs, clear regulatory frameworks can strengthen consumer trust, improve transaction security, and encourage responsible innovation, supporting the market's long-term growth and adoption.
The key players in the market are Walmart Inc., Shopify Inc., Microsoft Corporation, Salesforce Inc., Google LLC, Snap Inc., Adobe Inc., Oracle Corporation, SAP SE, Alibaba Group Holding Limited, Amazon.com Inc., Bloomreach, Inc., Navar Corporation (LINE Shopping), Rakuten Group Inc., Perfect Corp., Meta Platforms Inc., Octane AI, Gorgias Inc., Pinterest Inc., and eBay Inc.
Author · Sr. Research Analyst
Research Analyst at Custom Market Insights, specializing in market research, competitive analysis, industry trends, and growth opportunities. Focused on transforming complex data into actionable insights that drive strategic decision-making and business growth.
Reviewed By · Sr. Research Analyst
Ayush Kadam is a Senior Market Research Analyst at Custom Market Insights, with over seven years of experience in syndicated and custom market research. He specializes in market sizing, competitive intelligence, industry trends, forecasting, and strategic insights, helping clients turn complex data into actionable business decisions.
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