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Google named a Leader in The Forrester Wave™: AI Platforms

What happened
Based on Google Cloud Blog · Aug 10, 2026

Google has been named a Leader in The Forrester Wave™: AI Platforms, Q3 2026, receiving the highest score in the Strategy category for its unified AI platform, Gemini Enterprise.

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Key points
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At Google Cloud, we help organizations of all sizes build and operationalize complex agentic workflows with total confidence.
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By combining world-class AI research with an open, fully integrated AI platform, we give customers the flexibility to innovate and the foundation to deliver measurable business value.
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At the center of it all is Gemini Enterprise, a unified platform designed to power the agentic enterprise, meet builders where they are, and deliver enterprise trust by default.
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We believe this integrated approach is why Google has been named a Leader in The Forrester Wave ™: AI Platforms, Q3 2026 report, and received the highest score in the Strategy category.
Key numbers
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The platform supports over 200 native and third-party models, along with pre-built templates, accelerating the transition from prototype to deployment.

Google Cloud announced its recognition as a Leader in The Forrester Wave™: AI Platforms, Q3 2026, citing its unified platform, Gemini Enterprise, as a key driver of this achievement. The report highlights Google’s highest score in the Strategy category, reflecting its approach to integrating AI research, open platforms, and enterprise-focused tools. The recognition underscores the practical value of a single platform for building and deploying AI agents across organizations.

Gemini Enterprise serves as a central platform for AI adoption, connecting business users, developers, and IT leaders through shared context. It enables technical teams to build and deploy production-grade agents securely and cost-effectively, while business teams can use low-code and no-code tools to design agent behaviors. The platform supports over 200 native and third-party models, along with pre-built templates, accelerating the transition from prototype to deployment.

The platform is designed to handle multi-modal inputs, including text, code, audio, image, and video, within a single workflow. By integrating this capability with enterprise data, engineering teams can create contextual business experiences. Enterprise-grade governance, security, and observability features are built in by default, including guardrails, continuous evaluation, and real-time tracking for costs, latency, and token usage.

Gemini Enterprise also includes Knowledge Catalog, which aggregates metadata to improve agent accuracy through zero-copy federation. The platform aims to provide an open, scalable foundation for AI development, supporting organizations as agentic systems reshape enterprise software. Forrester’s report does not endorse any company or product but reflects its independent evaluation of available resources and analyst judgments.

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