GoogleがForrester Wave™「AIプラットフォーム」Q3 2026でリーダーに選出、Strategy部門で最高評価Google named a Leader in The Forrester Wave™: AI Platforms, Q3 2026

Google Cloud says it has been named a Leader in The Forrester Wave: AI Platforms, Q3 2026, and that it received the highest score in the report's Strategy category. The recognition matters because independent analyst evaluations like the Forrester Wave are widely used by enterprise buyers to shortlist vendors, and a strong placement can influence procurement decisions at organizations weighing which foundation to build their artificial intelligence efforts on.

At the center of Google's positioning is Gemini Enterprise, which the company describes as a unified platform designed to power what it calls the agentic enterprise. In Google's framing, the platform is built to meet builders where they are and to deliver enterprise trust by default. The company argues that this integrated approach, combining its AI research with an open and fully integrated platform, is a key reason for the Leader designation and the top Strategy score. Google positions the offering as giving customers both the flexibility to innovate and a foundation intended to deliver measurable business value.

The report centers on agentic AI, a term that refers to AI systems capable of carrying out multi-step tasks with a degree of autonomy rather than simply responding to single prompts. Agents can chain together reasoning, tool use, and actions across software systems, which is why Google frames the shift as agents becoming embedded across every part of the business. As that pattern spreads, the company argues, organizations need a unified platform to build and operationalize complex agentic workflows rather than assembling disconnected point solutions. This is the gap Google says Gemini Enterprise is designed to fill.

To understand the context, it helps to know how the Forrester Wave methodology works. Forrester evaluates vendors across weighted criteria typically grouped into categories such as current offering, strategy, and market presence, then plots them into tiers that include Leaders, Strong Performers, Contenders, and Challengers. Earning the highest score in the Strategy category, as Google reports here, generally reflects an analyst view of a vendor's roadmap, vision, and execution plans rather than only the features shipping today. Buyers often read such evaluations alongside other analyst frameworks, so this result is one input among several rather than a complete picture.

Gemini Enterprise sits within a broader Google Cloud portfolio that customers may already recognize. The underlying Gemini family of models powers many of Google's generative AI products, while Vertex AI has served as the company's platform for building, tuning, and deploying models and, increasingly, agents. Google has also promoted tooling and open standards around agent development, and its emphasis on an open, fully integrated platform appears aimed at customers wary of being locked into a single stack. The stated focus on enterprise trust by default aligns with common enterprise requirements around data governance, security, and controlled deployment, which are frequently cited as prerequisites before businesses move AI projects from pilots into production.

The announcement also lands in a competitive market where major cloud and software providers are racing to define the agentic era. Microsoft has pushed agent-building capabilities through its Copilot ecosystem and related tooling, Amazon Web Services has expanded its own model and agent services, and a range of specialized startups are targeting orchestration and workflow automation. Analyst recognition is one way vendors seek to differentiate in this crowded field, and it is likely that competitors will point to their own placements in comparable evaluations. Readers should note that the specifics of Forrester's full rankings, including where other vendors landed, are defined by the report itself rather than by any single vendor's summary.

For organizations evaluating these platforms, the practical questions tend to extend beyond analyst standings. Integration with existing data and applications, the maturity of governance controls, total cost, and the ability to move from experimentation to reliable production workflows all shape outcomes. Google's messaging around operationalizing complex agentic workflows with confidence speaks directly to that last point, though the real-world results will depend on individual deployments.

As a summary of the news, Google's Leader placement and top Strategy score in the Q3 2026 Forrester Wave for AI Platforms reinforce the company's push to make Gemini Enterprise a central hub for building and running AI agents. Whether that translates into broader adoption will become clearer as enterprises expand agentic projects and as competing evaluations and platforms continue to evolve.