GCP – Google named a Leader in the 2025 IDC MarketScape for Worldwide GenAI Life-Cycle Foundation Model Software

Unlocking real value with AI in the enterprise calls for more than just intelligence. It requires a seamless, end-to-end platform where your model and operational controls are fully integrated. This is the core of our strategy at Google Cloud: combining the most powerful models with the scale and security required for production.

Today, we are excited to announce that Google has been recognized as a Leader for our Gemini model family in the 2025 IDC MarketScape for Worldwide GenAI Life-Cycle Foundation Model Software (doc # US53007225, October 2025) report.

We believe the result validates our multi-year commitment to building the most capable, multimodal AI and delivering it to the enterprise through the Vertex AI platform. It is this combined approach that leads organizations, from innovative startups to the most demanding enterprises, to choose Google Cloud for their critical generative AI deployments.

Gemini 2.5: adaptive thinking and cost control

For companies moving AI workloads into production, the focus quickly shifts from raw intelligence to optimization, speed, and cost control. That’s why in August, we announced General Availability (GA) of the Gemini 2.5 model family, dramatically increasing both intelligence and enterprise readiness. Our pace of innovation hasn’t slowed; we quickly followed up in September with an improved Gemini 2.5 Flash and Flash-Lite release.

Gemini 2.5 models are thinking models, meaning they can perform complex, internal reasoning to solve multi-step problems with better accuracy. This advanced capability addresses the need for depth of reasoning while still offering tools to manage compute costs:

• Thinking budgets: We introduced thinking budgets for models like Gemini 2.5 Flash and Gemini 2.5 Flash-Lite. Developers can now set a maximum computational effort, allowing for fine-grained control over cost and latency. You get the full power of a thinking model when the task demands it, and maximum speed for high-volume, low-latency tasks.

• Thought summaries: Developers also gain transparency with thought summaries in the API and Vertex AI, providing a clear, structured view of the model’s reasoning process. This is essential for auditability.

Model choice and flexibility

By providing an open ecosystem of multimodal models, enterprises can choose to deploy the best model for any task, and the right modality for any use case.

• Vertex AI Model Garden ensures you always have access to the latest intelligence. This includes our first-party models, leading open source options, and powerful third-party models like Anthropic’s Claude Sonnet 4.5, which we made available upon its release. This empowers you to pick the right tool for every use case.

• Native multimodality: Gemini’s core strength is its native multimodal capability, or the ability to understand and combine information across text, code, images, and audio.

• Creative control with Nano Banana: Nano Banana (Gemini 2.5 Flash Image) provides creators and developers sharp control for visual tasks, enabling conversational editing and maintaining character and product consistency across multiple generations. 

Building AI agents: Code, speed, and the CLI

To accelerate the transition to AI agents that can execute complex tasks, we prioritized investment in coding performance and tooling for developers:

• Coding performance leap: Gemini 2.5 Pro now excels at complex code generation and problem-solving, offering developers a dramatically improved resource for high-quality software development.

• Agentic developer tools: The launch of the Gemini Command Line Interface (CLI) brings powerful, agentic problem-solving directly to the terminal. This provides developers with the kind of immediate, interactive coding assistance necessary to close gaps and accelerate development velocity.

Unlocking value with Vertex AI

In addition to powerful models, organizations need a managed, governed platform to move AI projects from pilot to production and achieve real business value. That’s why Vertex AI is the critical component for enterprise AI workloads.

Vertex AI provides the secure, end-to-end environment that transforms Gemini’s intelligence into a scalable business solution. It is the single place for developers to manage the full AI lifecycle, allowing companies to stop managing infrastructure and start building innovative agentic AI applications.

We focus on three core pillars: 

• Customization for differentiation: Tailor model behavior using techniques like Supervised Fine-Tuning (SFT) to embed your unique domain expertise directly into the model’s knowledge.

• Grounding for accuracy: Easily connect Gemini to your enterprise data – whether structured data in BigQuery, internal documents via Vertex AI Search, or web data from Google Search or Google Maps – to ensure model responses are accurate, relevant, and trusted.

• Security, governance, and compliance: Maintain control over data and models with enterprise-grade security, governance, and data privacy controls built directly into the platform, ensuring stability and protection for your mission-critical applications.

Get started today

Download the 2025 IDC MarketScape for Worldwide GenAI Life-Cycle Foundation Model Software excerpt to learn why organizations are choosing Google Cloud.

^{IDC MarketScape vendor analysis model is designed to provide an overview of the competitive fitness of technology and suppliers in a given market. The research methodology utilizes a rigorous scoring methodology based on both qualitative and quantitative criteria that results in a single graphical illustration of each supplier’s position within a given market. The Capabilities score measures supplier product, go-to-market and business execution in the short-term. The Strategy score measures alignment of supplier strategies with customer requirements in a 3-5-year timeframe. Supplier market share is represented by the size of the icons.}