Google Named Leader in IDC MarketScape for Foundation Model Software

Google has earned a "Leader" designation in the 2026 IDC MarketScape for worldwide foundation model software, a recognition of its AI capabilities for enterprise customers. The assessment specifically praises Google's Gemini family of models for their native multimodality, allowing them to process text, images, video, and audio seamlessly. The portfolio includes high-end "Pro" versions for complex tasks, "Flash" variants for high-volume production, and "Nano" for on-device applications.

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The assessment praises Google for its Gemini family of models, which are built with native multimodality – meaning they process text, images, video, and audio from the ground up.

IDC also commends Google's specialized models for image and video creation, alongside its comprehensive platform. This platform offers not just the AI models but also integrated management and safety controls, performance tracking tools, and a marketplace for third-party agents. Google's existing ties to Workspace and Android, coupled with a vast partner network, are identified as significant advantages.

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The breadth of Google’s offering creates a steep learning curve, which may delay the time it takes for businesses to realise value, particularly if they have already adopted rival tools.

However, the report points out challenges, including a steep learning curve due to the breadth of Google's offerings, which could delay value realization for businesses, especially those already using competing tools. IDC suggests Google could enhance customer choice by providing more third-party models beyond its own Gemini range. The report also criticizes Google's communication strategy, urging the company to more aggressively promote its agentic coding capabilities and address the misconception that Gemini models are difficult to customize.

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IDC suggests that Google should offer more third-party models beyond its own Gemini range to give customers greater choice.

The broader enterprise AI market is rapidly evolving, with companies increasingly employing multiple AI models and "agents" for diverse content types, often with minimal human oversight. IDC's recommendations for businesses include choosing the right model for each task, establishing robust safety and management protocols, and ensuring smooth integration with existing business software. The firm concludes that future business AI will be driven by flexible networks of collaborating agents rather than single systems.

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The report concludes that the core intelligence driving business AI no longer comes from one single system, but from a flexible network of collaborating agents.