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Amazon Business hits $60 billion in annualized gross sales as B2B ecommerce enters its agentic era

Amazon Business has achieved $60 billion in annualized gross sales, marking a significant milestone in B2B ecommerce as agentic AI reshapes the landscape. This shift is influencing how enterprise buyers discover and procure products online, highlighting the growing impact of AI on business operations.

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By MarketScale Newsroom · Amazon BusinessB2b EcommerceAgentic AiProcurement
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Amazon Business hits $60 billion in annualized gross sales as B2B ecommerce enters its agentic era

Key takeaways

01

Amazon Business has reached $60 billion in annualized gross sales.

02

Agentic AI is transforming the way enterprise buyers discover and procure products online.

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Amazon Business has reached $60 billion in annualized gross sales, according to Digital Commerce 360, a figure that crystallizes just how much enterprise purchasing volume has migrated to a single digital channel. That number lands as the broader B2B ecommerce market confronts its next structural shift: agentic AI systems that procure on behalf of buyers, often without a human ever visiting a storefront.

A $60 billion benchmark resets the competitive bar

The annualized gross sales figure reported by Digital Commerce 360 on July 21 makes Amazon Business one of the largest B2B commercial platforms by volume on the planet. For procurement and operations leaders, the number is less a headline than a forcing function: any digital selling strategy that does not account for marketplace concentration at this scale is, at minimum, incomplete.

The scale of B2B ecommerce overall is considerable context here. Forbes, citing multiple industry data sources, reports that global ecommerce continues to grow rapidly, with B2B digital transactions consistently outpacing B2C in total dollar volume. Amazon Business's $60 billion annualized figure represents a significant and concentrated slice of that activity, flowing through a single platform with its own search ranking, pricing signals, and fulfillment infrastructure.

For procurement teams, the practical implication is catalog visibility. Suppliers who are not optimized for Amazon Business's ranking mechanics, or who lack competitive pricing data on the platform, are increasingly invisible to the buyers their sales teams are trying to reach. The platform is no longer a supplementary channel for many verticals; it is a primary one.

At $60 billion in annualized gross sales, Amazon Business is no longer a channel procurement teams can treat as secondary.

Agentic AI turns catalog quality into a procurement requirement

The more forward-looking challenge for B2B operators is what comes after the current generation of search-and-browse commerce. Digital Commerce 360 reported on July 21 that Deloitte's research is informing a set of concrete recommendations for B2B ecommerce companies preparing for agentic AI discovery, where software agents autonomously evaluate supplier catalogs, compare offerings, and initiate purchases on behalf of enterprise buyers.

The operational implication is direct: an AI agent does not browse a homepage, read a case study, or call a sales rep. It queries structured data. Companies whose product catalogs carry inconsistent attributes, missing specifications, outdated pricing, or poor taxonomy will be deprioritized or excluded from agentic buying decisions entirely, regardless of their actual product quality or existing customer relationships.

This is not a future problem. Digital Commerce 360 has noted enterprise interest in agentic commerce preparedness is accelerating in 2026, with operators in manufacturing, distribution, and industrial supply already asking whether their product information management systems and ecommerce platforms can surface the right data to AI evaluation layers. The answer, for most, requires meaningful remediation before agentic agents become a material share of inbound orders.

Amazon Pharmacy and eNavvi show what embedded B2B commerce looks like in practice

A concrete preview of where B2B digital procurement is heading arrived on July 17, when Digital Commerce 360 reported that Amazon Pharmacy had partnered with eNavvi to embed real-time drug pricing and availability directly into prescribing workflows. Rather than directing healthcare professionals to a separate storefront, the integration surfaces purchasing-relevant data inside the systems clinicians already use.

The pattern matters beyond healthcare. Workflow-embedded commerce, where pricing, availability, and ordering capability live inside an operator's existing software environment rather than at an external destination, is the logical endpoint of the agentic direction. For procurement and supply chain leaders in any vertical, it raises a pointed question: are your suppliers building integrations into your systems, or are they still expecting your team to navigate to theirs?

Fastenal's most recent quarterly earnings offer a parallel data point from the industrial distribution side. Digital Commerce 360 reported that Fastenal's digital sales rose in Q2 2026, even as the company brought in a new CEO. Fastenal has long used vending machines and on-site inventory management as physical analogs to embedded procurement; the digital sales trend suggests the same logic is now extending into software-driven channels.

What this means for your team

  • Audit your catalog data now against what an AI agent would need: complete product attributes, standardized taxonomy, real-time pricing signals, and accurate availability. Gaps that a human buyer might overlook will disqualify you from agentic discovery.
  • Evaluate your Amazon Business presence as a primary channel, not a secondary one. At $60 billion in annualized gross sales, the platform carries pricing and visibility signals that influence buyer expectations even when purchases happen elsewhere.
  • Ask your top suppliers whether they offer workflow-embedded ordering, API-based availability data, or procurement integrations for your existing ERP or purchasing platform. The Amazon Pharmacy-eNavvi model signals that embedded commerce is moving from exception to expectation.
  • If your team is assessing ecommerce platform upgrades in 2026, add AI-readiness criteria: structured data export, API accessibility, and compatibility with procurement automation tools should weigh alongside traditional feature sets.

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