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AI Agent Marketplaces: Google, Microsoft, AWS, Salesforce and ServiceNow Compared

Compare major enterprise channels for publishing, selling and distributing AI agents, including pricing, private offers, marketplace discovery, protocol support, certification and procurement fit.

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AI agent marketplaces and enterprise distribution

There is no universal best marketplace.Buyer ecosystem · deployment · pricing · private offers · protocols · certification

Direct answer

Which AI-agent marketplace is best?

No single AI-agent marketplace is best for every seller. The strongest fit depends on where target customers already procure software, where the agent will run, whether subscription or usage billing is needed, whether private enterprise offers matter, whether MCP or A2A interoperability is important, and whether partner certification or ecosystem distribution is part of the sales strategy. Google Cloud, Microsoft, AWS, Salesforce and ServiceNow each emphasize different commercial and technical paths.

Five major enterprise AI-agent marketplaces compared

Platform	Agent-specific distribution	Pricing / transaction support	Private offers	Protocol / ecosystem signal	Seller-readiness emphasis
Google Cloud Marketplace	Yes, including AI Agent as a Service	Free, subscription, usage and combined pricing	Yes, customized quotes / private offers	A2A supported for agent products	Producer Portal, Agent Card, listing review and validation
Microsoft Marketplace	Yes, with Azure agents and Microsoft 365 agent paths	Offer and monetization structures vary by offer type	Supported through Microsoft Marketplace structures	Strong Microsoft enterprise and partner ecosystem	Offer-type selection, technical configuration and publishing readiness
AWS Marketplace	Yes, AI Agents & Tools category	Flexible pricing and AWS Marketplace transaction models	Supported through AWS Marketplace mechanisms	MCP and A2A discoverability, AgentCore-related deployment paths	Seller listing, protocol metadata and deployment fit
Salesforce AgentExchange	Yes, unified marketplace for agents, apps, integrations and tools	Marketplace transaction flow with billing and payouts	Yes, tailored pricing and terms	MCP connectivity and A2A networks	Security review, partner status and listing readiness
ServiceNow Store	Yes, partner-built AI agents and workflow solutions	Partner monetization and Store distribution	Not established here from current official documentation	ServiceNow AI Platform and workflow ecosystem	Build Program, certification, Publisher Portal and customer validation

Method note: The comparison is limited to features supported by current official platform documentation. Where a feature is not established from the available primary source, it is not inferred from competitor behavior.

Google Cloud Marketplace: structured pricing and A2A support

Google Cloud provides a dedicated pathway for AI-agent products and supports multiple deployment models. For A2A AI Agent as a Service offerings, Google requires the agent to be customer-ready, secure, enterprise-oriented and compatible with the Agent2Agent protocol. Sellers use Producer Portal to add the agent, Agent Card, listing information and pricing before validation and publication.

Google currently supports free, subscription-based, usage-based and combined pricing. Its pricing documentation also allows free trials and customer-specific private offers. For usage pricing, the seller must measure and report defined usage metrics.

Google Cloud: Offer AI agents through Google Cloud Marketplace.

Google pricing: Pricing models for AI agents.

Compare the current AI-agent commercialization pages →

Microsoft Marketplace: Azure and Microsoft 365 agent pathways

Microsoft's marketplace architecture distinguishes between different agent types and offer structures. SaaS-based Azure agents, for example, require the publisher to connect customer subscription lifecycle information with the marketplace. Microsoft also provides a distinct route for Microsoft 365 and Copilot-related agents.

This makes offer-type selection a central commercial decision. A seller should determine whether the agent belongs primarily in Azure, Microsoft 365 or another supported marketplace structure before building the transaction and deployment path.

Microsoft: Publish and release your AI app or agent.

Compare the current AI-agent commercialization pages →

AWS Marketplace: AI Agents & Tools with MCP and A2A discovery

AWS Marketplace provides a dedicated AI Agents & Tools category for third-party agent products. AWS states that customers can discover and buy agent solutions through a centralized catalog and compare listings that indicate support for MCP and A2A protocols. Deployment can include Amazon Bedrock AgentCore Runtime or tools connected through AgentCore Gateway.

For sellers, AWS emphasizes access to established marketplace channels, flexible pricing and secure AWS deployment options. Protocol support can also be used as part of listing metadata and discoverability.

AWS: AI Agents & Tools in AWS Marketplace.

Compare the current AI-agent commercialization pages →

Salesforce AgentExchange: unified discovery, private offers and interoperability

Salesforce describes AgentExchange as a trusted marketplace for AI agents, applications and tools built around the Salesforce platform. The current unified experience brings together AppExchange, Slack Marketplace and the Agentforce ecosystem.

Current Salesforce materials highlight semantic discovery, in-flow recommendations within Agentforce Builder, private offers with tailored pricing and terms, unified billing, automated provisioning and payout workflows, MCP connectivity and A2A networks.

Salesforce: Learn about AgentExchange.

Salesforce private offers: AgentExchange private-offer overview.

Compare the current AI-agent commercialization pages →

ServiceNow Store: Build Program, certification and workflow distribution

ServiceNow's 2026 Build Program is designed to help partners build, test, certify, distribute and monetize products on the ServiceNow AI Platform. ServiceNow also describes the Store as a global marketplace for enterprise-ready AI agents, applications and workflow extensions.

Build partners can receive access to the Store Publisher Portal and may use the Now Certified icon after meeting certification criteria. This makes certification, partner status and workflow integration central parts of the seller route.

ServiceNow: Build Partner Program.

ServiceNow partners: ServiceNow Partner Programme.

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Marketplace decision framework

Use eight questions to select an AI-agent marketplace

Where do target customers already procure software? A marketplace is more valuable when it aligns with an existing procurement relationship.
Where will the agent execute? The deployment environment can make one platform more natural than another.
Which enterprise ecosystem does the agent integrate with? Salesforce, ServiceNow, Microsoft, AWS and Google each have distinct installed bases and workflow contexts.
Is MCP or A2A interoperability important? Current support and discoverability vary by platform.
Is usage-based billing required? Verify that the selected marketplace supports the needed pricing architecture.
Are private offers important? Large enterprise deals may depend on customer-specific economics.
Will partner or channel distribution matter? Some ecosystems place greater weight on partner status and co-selling.
Is certification required? Security review, validation or platform certification can affect time to market.

Marketplace versus direct enterprise sales

Marketplaces can simplify discovery, procurement and billing, but they do not replace direct selling. Some customers still require separate security reviews, legal negotiation, deployment planning and support agreements. A seller can therefore use a marketplace as the transaction channel while maintaining a direct enterprise sales process around it.

Marketplace versus licensing

A marketplace listing normally distributes access to a product under platform-supported commercial structures. A technology license can grant broader rights such as local deployment, white-label use, embedding, modification or sublicensing. These routes solve different commercial problems and should not be treated as substitutes.

Marketplace versus private channel sale

A reseller, systems integrator or strategic partner can reach buyers that do not discover software through public marketplace browsing. Partner-led sales may also be useful in regulated sectors or countries where local implementation and support matter. The seller should compare the economics and customer ownership implications before relying on one route.

Should an AI agent be listed on multiple marketplaces?

Multi-marketplace distribution can increase reach, but it adds operational complexity. The seller may need separate listing metadata, pricing structures, technical integrations, security reviews, buyer support and transaction workflows for each platform. A phased strategy can be more practical where one ecosystem already contains the seller's strongest customer base.

IP and licensing should be checked before marketplace publication

Marketplace approval does not establish that the seller owns every component of the product. The seller should separately confirm code ownership, model-provider rights, API and tool permissions, data rights, open-source obligations and any patent strategy. Public listing materials can also disclose technical information, so potentially patentable inventions should be reviewed before publication.

Security and diligence remain part of the sale

Enterprise buyers may still examine identity, permissions, data access, auditability, deployment architecture, model dependencies and incident handling even after a product passes marketplace review. Platform certification can support trust, but it does not eliminate customer-specific diligence.

Marketplace Selection Checklist

Identify the buyer's existing cloud and enterprise-software relationships.
Confirm the agent's deployment model and technical compatibility.
Verify current seller eligibility and publication requirements.
Check supported pricing structures and metering requirements.
Check whether customer-specific private offers are supported.
Review protocol support such as MCP or A2A where relevant.
Review certification, validation and security-review requirements.
Compare partner and channel opportunities.
Model marketplace, reseller and support economics.
Confirm IP, data, model and API rights before publication.
Review patent filing strategy before technical details become public.
Plan for regular freshness reviews because marketplace rules change quickly.

Frequently asked questions

What are the main AI-agent marketplaces?

Major enterprise channels currently include Google Cloud Marketplace, Microsoft Marketplace, AWS Marketplace, Salesforce AgentExchange and ServiceNow Store. Each has a different publishing and transaction model.

Which marketplace supports A2A agents?

Google Cloud provides an explicit A2A AI Agent as a Service route. AWS also highlights A2A support in marketplace agent listings, and Salesforce describes A2A networks within AgentExchange. Exact technical and publication requirements should be checked on the relevant platform before launch.

Which marketplaces support private offers?

Google Cloud, Microsoft, AWS and Salesforce currently provide private-offer mechanisms in their marketplace ecosystems. The exact structure, seller eligibility and transaction process vary by platform.

Can I sell the same AI agent on more than one marketplace?

Potentially, subject to each platform's current rules and the seller's licensing commitments. The practical question is whether the additional reach justifies the extra technical integration, listing, support and commercial complexity.

Does marketplace approval prove that my AI agent has clean IP ownership?

No. Marketplace approval and IP chain of title are separate issues. The seller should independently confirm rights in software, models, APIs, data, open-source components and other dependencies.

Related research and legal resources: AI-agent marketplace strategy can connect to IP commercialization and patent-business strategy, patent research and analytics, open patent research methods, US technology-law issues, technology-company legal operations, and Dr. Rahul Dev's technology and legal work.

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