The News
At Google Cloud Next, Google announced a major expansion of its agentic AI partner ecosystem, introducing the open Agent2Agent (A2A) protocol, the new AI Agent Marketplace, and expanded co-selling programs and AI incentives. With support from over 50 leading enterprise technology companies, these initiatives position partners at every layer of Google Cloud’s agentic AI stack. To read more, visit the original announcement.
Analysis
According to industry experts, by 2026, over 60% of enterprises will have deployed agent-based AI applications, up from less than 5% in 2023. Analysts highlight that multi-agent orchestration is key to unlocking productivity across distributed systems. Meanwhile, other analysts project that AI services revenue will reach $52B in 2025. Google’s alignment with this trend, through scalable partner support, cross-platform standards (A2A), and multi-model agentic architecture, gives it a unique advantage in catalyzing this transformation.
Partner-Powered AI Growth in the Cloud Ecosystem
The cloud ecosystem has reached a critical point where the acceleration of agentic AI is redefining partnership models, product development, and enterprise adoption. According to industry experts, global systems integrators are forecasted to double their Google Cloud AI practices in 2025, driven by early ROI in production AI deployments. This signals that the industry is moving from experimental phases into real, scalable deployments—with partners playing a pivotal role.
Google’s strategy to embed partners at every layer of the AI stack ensures that the momentum will be sustained. It starts with infrastructure and extends all the way to AI model interoperability, application development, and data integration. Partners like Atlassian, Cohere, Salesforce, and MongoDB are joining Google Cloud in delivering agentic capabilities that span across enterprise tools, showing that multi-agent systems will be a key competitive differentiator.
Expanding the Agentic AI Stack: Protocols, Marketplaces, and Data
The newly launched A2A protocol is a turning point for AI agent interoperability. By giving agents a common framework to communicate securely across platforms, Google and its partners are simplifying one of the most complex challenges in distributed AI ecosystems. Meanwhile, the AI Agent Marketplace lowers the barrier to agent adoption, offering curated, production-ready agents from partners like Accenture, Deloitte, and UiPath.
Equally transformative is Google’s strategy to make enterprise data accessible for agent training and inferencing across popular platforms like NetApp, Oracle, and ServiceNow. These integrations mean that developers and enterprise customers can build agents using their own proprietary data with minimal friction.
Evolving Co-Sell, Training, and Incentives for Greater Market Reach
In tandem with product innovations, Google Cloud is revamping its partner go-to-market approach. The company is investing heavily in co-sell alignment, partner visibility into sales activities, and incentives. This ensures a more predictable revenue model for partners while helping customers tap into trusted expertise for implementations.
New AI earnings insights in the Earnings Hub and a doubling of AI opportunity funding demonstrate that Google is backing its ecosystem financially as well as technologically. These investments are being paired with expanded training programs that will deepen partner knowledge in high-growth areas like Google Agentspace and Workspace integrations.
AI-Infused Workspace as a Growth Channel for Partners
With Workspace serving over 3 billion users, Google is also using it as a launchpad for AI adoption at scale. The integration of Gemini-powered capabilities into Sheets, Docs, Meet, and Gmail will open up new implementation and customization opportunities for service providers. With partner funding for Workspace up 4x year-over-year, this channel is poised to become a cornerstone of AI-driven productivity solutions.
Looking Ahead
The trajectory of agentic AI is clear: it will be a foundational part of digital transformation in the coming years. As enterprises seek more intelligent, proactive systems to handle increasingly complex workloads, the importance of agent ecosystems will grow exponentially. Google’s open, partner-centric approach places it in a strong position to lead this shift.
The initiatives announced at Next ‘25 signal Google Cloud’s intent to create not just an ecosystem, but a flywheel—one that turns innovation into action and enables global scale. As more companies look to build agents that work across tools, teams, and clouds, the partner ecosystem’s value proposition will continue to strengthen.
Nubank Tames Real-Time Data Complexity with Apache Pinot, Cuts Cloud Costs by $1M
With over 300,000 Spark jobs running daily, Nubank’s innovative observability platform, powered by Apache Pinot,…
How CrowdStrike Scaled Real-Time Analytics with Apache Pinot
In today’s cybersecurity landscape, time is everything. Threat actors operate at machine speed, and enterprise…
How Grab Built a Real-Time Metrics Platform for Marketplace Observability
In the ever-evolving landscape of digital platforms, few companies operate with the complexity and regional…