Oracle Launches AI Agent Marketplace to Accelerate Enterprise Adoption Across Fusion Applications

Oracle has introduced an AI Agent Marketplace within its Fusion Applications suite, expanding AI Agent Studio and integrating top LLMs from OpenAI, Anthropic, and others to accelerate enterprise AI transformation.

By Samantha Reed Published: Updated:
Juan Loaiza, Oracle’s executive vice president of Database Technologies, delivers a keynote at Oracle AI World 2025 in Las Vegas - emphasizing how AI is fundamentally transforming the way data and applications are built, managed, and scaled. Photo: Oracle AI World / Facebook

Oracle has unveiled a major expansion of its AI platform, introducing the AI Agent Marketplace and enhanced AI Agent Studio as part of its Fusion Applications suite. The move, announced at Oracle AI World 2025, marks a significant milestone in the company’s effort to make AI agents a core component of enterprise operations.

The new AI Agent Marketplace allows customers to access, deploy, and customize partner-built, Oracle-certified AI agents designed for industry-specific use cases. These agents extend the functionality of Oracle’s pre-built AI tools within Fusion Applications, which span financial management, human resources, supply chain, and customer experience software. By integrating directly into existing workflows, the marketplace enables organizations to automate business processes without building AI infrastructure from scratch.

“Organizations are grappling with rising business complexity and the urgent need to accelerate AI adoption,” said Chris Leone, Oracle’s executive vice president of Applications Development. “With our AI Agent Marketplace, we are providing customers and partners a unified environment to securely scale automation, extend functionality, and generate tangible results across their business.”

Oracle also expanded its AI Agent Studio, the company’s low-code development environment for creating and managing AI agents. The platform now supports a broad set of large language models, including OpenAI, Anthropic, Cohere, Google, Meta, and xAI, allowing businesses to choose the model that best fits their requirements. New tools include multi-agent collaboration, retrieval-augmented generation (RAG) for context-aware responses, and observability dashboards for monitoring and optimizing performance.

The update builds on Oracle’s commitment to interoperability through the Model Context Protocol (MCP), which allows seamless communication between AI agents, enterprise data sources, and external applications. Companies can now deploy multi-modal AI solutions capable of interpreting text, documents, and visuals, while maintaining the governance and security controls Oracle is known for.

To accelerate adoption, Oracle is leveraging its ecosystem of more than 32,000 certified AI professionals. These specialists will help enterprises deploy agent-based automation while contributing pre-tested solutions to the marketplace. Oracle said this global network of experts will be instrumental in developing new templates for finance, operations, procurement, and customer support workflows.

Analysts say the new marketplace positions Oracle as a strong contender in the race to operationalize AI for large enterprises. “Oracle is setting a new standard for enterprise AI,” said Mickey North Rizza, Group Vice President at IDC. “The integration of AI agents into Fusion Applications demonstrates that Oracle is not just delivering tools but building an ecosystem for intelligent automation at scale.”

The expansion follows a series of recent Oracle announcements aimed at strengthening its AI capabilities. At the same conference, the company confirmed its plan to deploy 50,000 AMD Instinct MI450 GPUs by 2026, reinforcing its infrastructure backbone for AI training and inferencing workloads. Together, these initiatives underscore Oracle’s ambition to provide a vertically integrated AI platform that combines infrastructure, data, and software under one cloud.

“The Oracle Fusion Applications AI Agent Marketplace is an ideal platform to deploy KPMG’s deep industry and domain-specific AI agents directly into business workflows,” says Swami Chandrasekaran, KPMG Global AI & Data Labs Leader. “Our Purchase Order Item Price History agent is a great example of this—it autonomously assembles and evaluates historical data to deliver immediate, actionable procurement insights and next-step recommendations at the moment of decision. This marketplace is a key enabler for us at KPMG, as it helps us deploy and distribute this next-generation AI securely, responsibly, and at scale, allowing our clients to make critical business decisions with greater speed and confidence.”

As competitors like Microsoft and Salesforce race to embed AI assistants into business applications, Oracle’s approach stands out for its focus on controlled customization and enterprise security. The company’s strategy reflects a broader shift from AI experimentation to production-grade deployment — where success is measured by speed, compliance, and measurable return on investment.

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