Analyst(s): Alex Smith
Publication Date: January 8, 2026
This report explores the fundamental shift from human-centric procurement to “agentic commerce,” where autonomous AI agents negotiate and orchestrate complex business transactions. It examines how major cloud marketplaces are evolving into the central nervous system for these machine-to-machine interactions. Finally, it highlights the critical role of new interoperability standards in enabling secure, automated enterprise workflows.
Key Points:
- Paradigm Shift: B2B commerce will move from human-centric search and procurement to “agentic commerce,” where autonomous AI agents negotiate, transact, and orchestrate complex workflows across interconnected ecosystems.
- The Marketplace Nexus: Cloud marketplaces (AWS, Google Cloud, Salesforce) are transforming into the central nervous system for these transactions, leveraging new standards such as Model Context Protocol (MCP) and Agent-to-Agent (A2A) frameworks to enable secure interoperability.
- Data-Driven Demand: Futurum Research data shows 40% of CIOs are targeting AI-driven process automation in their organizations, creating a market need for agent-accessible procurement channels.
Overview:
The digital economy is undergoing a fundamental restructuring as it moves beyond static catalogs and human-driven search toward dynamic, agent-mediated transactions. This transition to agentic commerce is driven by overwhelming enterprise demand for automation and efficiency. According to Futurum Research, 79% of CIOs identify AI/ML as their top strategic focus, with nearly 40% specifically prioritizing AI-driven process automation. This pressure is forcing external procurement channels to adapt, positioning digital marketplaces as the indispensable nexus where buyer and seller agents meet.
The Role of Interoperability and New Standards
Just as HTTP enabled the traditional web, new protocols such as the MCP and A2A frameworks are becoming the standard language for agentic commerce. These protocols allow distinct AI agents to understand intent, share context, and negotiate terms without human intervention. For example, a procurement agent on one platform could theoretically interface with a supplier agent on another to source, vet, and provision software.
Marketplace Evolution
From Storefronts to Intelligent Layers, major providers are already launching features to support this shift:
- AWS introduced “Agent Mode,” allowing agents to interact directly with the marketplace’s data layer to find solutions based on complex criteria.
- Salesforce launched “AgentExchange” alongside its Agentforce platform to allow agents to securely share context and execute tasks.
- Google Cloud expanded its partner ecosystem with a dedicated AI Agent Marketplace integrated with Vertex AI.
This shift necessitates a new discipline known as “Agentic SEO,” where vendors must optimize product data and pricing models for machine-driven inference engines rather than human eyeballs. As agents begin to execute transactions, the “human-in-the-loop” model will evolve into “human-on-the-loop” governance, where CIOs define guardrails while agents execute within those bounds.
Conclusion
The mechanics of B2B trade are becoming algorithmic as software gains the ability to reason and act. The demand for agentic commerce will increase, presenting opportunities for those who adopt standardized and trusted frameworks. The trajectory is clear: the friction of B2B buying is being engineered out of the system
The full report is available via subscription to Futurum Intelligence’s Ecosystems, Channels & Marketplaces IQ service—click here for inquiry and access.
Futurum clients can read more in the Futurum Intelligence Platform, and non-clients can learn more here: Ecosystem, Channels, & Marketplaces Practice.
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Author Information
Alex is Vice President & Practice Lead, Ecosystems, Channels, & Marketplaces at the Futurum Group. He is responsible for establishing and maintaining the Channels Research program as part of the overall Futurum GTM and Channels Practice. This includes overseeing the channel data rollout in the Futurum Intelligence Platform, primary research activities such as research boards and surveys, delivering thought-leading research reports, and advising clients on their indirect go-to-market strategies. Alex also supports the overall operations of the Futurum Research Business Unit, including P&L segmentation, sales and marketing alignment, and budget planning.
Prior to joining Futurum, Alex was VP of Channels & Enterprise Research at Canalys where he led a multi-million dollar research organization with more than 20 analysts. He played an integral role in helping the Canalys research organization migrate into Omdia after having been acquired in 2023. He is an accomplished research leader, as well as an expert in indirect go-to-market strategies. He has delivered numerous keynotes at partner-facing conferences.
Alex is based in Portland, Oregon, but has lived in numerous places, including California, Canada, Saudi Arabia, Thailand, and the UK. He has a Bachelor in Commerce and Finance Major from Dalhousie University, Halifax Canada.
