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AI Agents Drive Fastest Growth Ever on AWS Marketplace
The AI agents category on AWS Marketplace grew from 900 launch partners to over 3,400 in under a year, and Amazon added an AI assistant to help sellers build product listings faster.
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Amazon Web Services has revealed that its AI agents and tools category on AWS Marketplace is growing faster than any other in the platform's history. The company has also rolled out a new AI-powered feature designed to help partners list products faster and more effectively.
The information comes from an interview Matt Yanchyshyn gave to theCUBE, as part of a series focused on AWS Marketplace. At Amazon Web Services, Yanchyshyn oversees relationships with partners who sell software, data and services through the company's marketplace, the purchasing platform for enterprise customers using the AWS cloud.
How fast the agent category grew
When AWS launched its dedicated AI agents and tools category in 2025 at the AWS Summit, the company expected around 50 launch partners. Instead, 900 companies signed up on launch day alone. Since then that number has more than tripled, to over 3,400 partners offering their agentic products through the platform.
Agentic AI is now the fastest-growing category in AWS Marketplace history - Matt Yanchyshyn, Vice President of Marketplace and Partner Services, AWS
The pace of this growth reflects a broader trend in the public cloud: companies are increasingly buying ready-made AI agents instead of building their own from scratch. AWS Marketplace functions as a store for enterprise software, where customers can test, purchase and bill a service directly through their existing Amazon contract.
A new assistant for sellers
Alongside the growth in listings, AWS rolled out the Product Assistant chat feature in June 2026. The tool is meant to help independent software vendors and consulting firms build complete, well-described listings from existing company materials, rather than filling out forms by hand.
Partners don't just want to draw attention to their Marketplace listings to convert them into sales, they also want to optimize them for SEO - Matt Yanchyshyn, AWS
According to Yanchyshyn, the goal is simple: cut the time partners spend on administrative tasks so they can focus on the product itself. AWS describes this as part of a broader set of generative AI features meant to make listing products easier, as well as help buyers search for and compare them.
Buyers are agents too
Yanchyshyn pointed to a shift that affects not just sellers but buyers as well. Increasingly, it isn't a person but an autonomous agent that searches the marketplace for the right software, compares listings and prepares a purchase recommendation.
Buyers aren't just humans anymore. People are using agents for research, and we're getting closer to a world where agents start making purchases themselves - Matt Yanchyshyn, AWS
AWS's answer to this trend is Agent Mode, launched earlier and developed under the same strategy. It lets both a human and a software agent walk through a guided, step-by-step purchasing process, either through the AWS site or through an MCP server connected to the marketplace.
What it means for cloud customers
For enterprises using AWS, this means the catalog of ready-made AI agents, from customer service automation to analytics tools, keeps getting wider and better organized. AWS names financial and automotive sector customers using such solutions through the marketplace, including Bank of America and Mercedes-Benz AG, though it does not disclose details of specific deployments.
For Polish companies, which are increasingly signaling openness to purchases made by AI agents, the buildout of this kind of purchasing infrastructure at the world's largest public cloud provider means that the model of buying ready-made agents instead of building them from scratch will also be available locally, through AWS's regional data centers.
Yanchyshyn also said AWS plans to keep expanding generative AI features on the buying side, so that choosing and deploying enterprise software shrinks from weeks to days. The company has not given a detailed timeline for upcoming features.
