As organizations work to leverage AI to transform their businesses, it is clear that the raw model intelligence is not the key challenge.
Consistently, we hear that the challenges lie in how the agents can be deployed across the company while meeting key requirements for quality, integration, security, and governance.
Gemini provides that connected foundation across the enterprise, and it’s why we believe Google was named a Leader in the inaugural IDC MarketScape: Worldwide Agentic AI Platforms 2026 Vendor Assessment.
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.
Gemini meets work where it already happens
A viable agentic platform has to meet work where it already happens – and run under production-grade controls. Gemini is engineered to deliver developer velocity without compromising governance, built around four core differentiators:
1. Surfaces that connect builders and business teams
Gemini makes it so that every surface connects back to one universal foundation.
- Where teams already work: Employees collaborate with Gemini directly inside Google Workspace, Microsoft 365, or team chats – the agent carries the same persistent memory, skills, and enterprise permissions across desktop and mobile without needing to switch tools.
- Builder tools centered on choice: Gemini platform supports how developers want to work, spanning no-code and low-code builders in the studio to code-first workflows with the Agent Development Kit (ADK) and Antigravity.
- Workflows that compound across the organization: When a team solves a complex workflow, they can package it into a shared skill published to a central Agent Registry. Gemini calls on these skills directly to execute tasks, turning proven procedures into reusable assets across the entire company.
2. Radical openness across models, enterprise data, and tools
Gemini adapts to the software you already run, not the other way around.
- Model choice: Through Model Garden in Gemini platform, teams have direct access to over 200 models – including all of the breakthroughs from Google DeepMind like Gemini 4 Argon, day one access to the latest Anthropic models, and third-party and open models.
- Grounding on your enterprise data: Gemini connects directly to live enterprise data across Google Cloud in BigQuery and Cloud Storage, as well as Salesforce, SAP, and others. Because Gemini inherits each employee's existing credentials, sensitive information stays governed at the source.
- Open standards: Built on open protocols like MCP and A2A, Gemini can easily plug into your existing toolchains and communicate across multi-vendor environments.
3. Smarter token economics
Gemini optimizes cost, latency, and performance directly at the execution layer.
- Matching tasks to the right model: By default, Gemini uses Auto mode for users, letting the platform match each step of a task to the right model dynamically. It defaults to a fast workhorse model like Gemini Flash, and escalates to a high-capacity frontier reasoning model only when task complexity requires it.
- Reusable skills: Teams can package proven processes into shared skills. Your agents can execute against these established procedures, improving consistency and reducing repetitive token consumption across the company.
- Budget guardrails: Administrators can set spending limits by project, department, or individual agent in the billing console. When a budget threshold is reached, new requests pause while active tasks are allowed to complete, giving finance and engineering predictable cost controls without abruptly interrupting in-progress work.
4. Built-in governance and security
Gemini incorporates enterprise governance natively, and at no additional cost.
- Dedicated agent identity: Every agent receives its own distinct, authenticated identity governed by least-privilege permissions. When an agent takes action, every event is recorded in an audit trail tied directly to that identity and the identity of which user was using the agent for the task.
- Isolated sandboxes: A sandboxed boundary keeps dynamic tasks strictly contained, protecting your underlying infrastructure, core network, and sensitive corporate data from being exposed or compromised.
- Policy enforcement: Rather than relying on a model to self-police, Agent Gateway automatically applies corporate security policies, blocks data leakage, and ensures agents only access what they are explicitly authorized to touch.
Looking forward
At its core, Gemini is all about giving your organization an open, reliable platform where builders have choice and teams work with complete confidence.
We are honored by IDC MarketScape’s recognition of Google as a Leader, and we look forward to continuing this work alongside our customers.
Download the IDC MarketScape: Worldwide Agentic AI Platforms 2026 Vendor Assessment excerpt to learn why Google is named a Leader.
- AI & Machine Learning



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