Global AI Shopping Assistant Market Size Likely to Grow at a CAGR of 26.8% By 2035

AI Shopping Assistant Market Revenue and Trends

An AI shopping assistant is an artificial intelligence (AI) enabled digital concierge that helps consumers discover products, compare prices and features, evaluate product attributes, receive recommendations and have conversations about decision making. They use generative AI, natural language processing (NLP), machine learning and computer vision to understand consumer tastes and guide the customer to the most suitable products, making the decision process easier.

These assistants can now do more complex things like find and compare prices for similar products and make product suggestions due to recent advances in agentic AI that can perform multistep reasoning and multimodal technologies like visual and audio input. Some retailers are also implementing these assistants into the shopping cart or checkout process. The key success factors, however, are trust of consumers and the degree to which the recommendations are personalized and permission-based.

What are the factors that have a significant contribution to the growth of the AI shopping assistant market?

Factors including the rise of e-commerce, the need for customized shopping experiences, and advancements in generative AI and natural language processing are driving the growth of the AI shopping assistant market. The rise of AI-powered chatbots, multimodal search and conversational commerce is making it faster and easier for shoppers to find products, compare prices and get help. Market growth is also supported by factors including higher investment in retail digitization, smartphone and internet penetration and improved client engagement, conversion and operations.

The market growth is also attributed to the increase in the demand for agentic AI that allows shopping assistants to perform more complex tasks such as product selection, price monitoring, and shopping cart management. Better payments, data security and recommendation accuracy also help to boost consumer confidence and adoption of AI shopping assistants in retail and e-commerce.

Regional Insights

The North American AI shopping assistant market is estimated to experience substantial revenue growth by 2026. It will be motivated by the partnerships among retailers, technology providers, and AI developers aiming to provide consumers with a unique shopping experience and facilitate the process.

For example, in February 2026, Loblaw Companies announced its partnership with Google, allowing Canadian customers to shop for health, beauty, and clothing products using Google’s AI Mode and Gemini app. Moreover, in June 2026, Target announced its partnership with Google, Microsoft, and OpenAI to provide its shoppers with AI-powered shopping experiences, enabling them to discover products and assemble baskets by chatting with the virtual assistant.

Besides, the Asia Pacific is expected to grow at the highest CAGR over the forecast period because of government investment in AI infrastructure and services including data centers, high-performance computing, cloud platforms, and connectivity.

Such factors pave the way for the computational power required to build AI shopping assistants that can recommend products, have a conversation and compare prices. The Government of the Philippines, for instance, has formulated an AI Infrastructure Masterplan 2026-2033, amounting to 34.4 billion pesos, to expand the country’s AI data center capability and enhance the nation’s digital infrastructure.