Innovation Insight For The Ai Agent Platform Landscape Gartner

Bonisiwe Shabane

-Dec 28, 2025, 12:33 PM

innovation insight for the ai agent platform landscape gartner

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Generate custom sales materials instantly. Replace multiple tools with one platform. Get instant answers to complex questions. Complimentary Gartner Report: "Innovation Insight for the AI Agent Platform Landscape" “Agentic AI” may be the buzziest of all buzzwords, but as this domain continues to mature the associated definitions are tightening. At OneReach.ai, we’re proud to have partnered with leading analysts who are helping to create order from chaos and provide frameworks and definitions that enable capabilities and vendors to be categorized and compared.

Our unique tenure in this space – pursuing intelligent software experiences now known as agents for over a decade – is reflected in myriad reports where we are mentioned, including over 150 Gartner research notes, 50 of which were published in 2025 alone. Having been named a “Cool Vendor” in Unified Communications back in 2017, then a sample vendor in numerous chatbot and virtual assistant reports, then a back-to-back Magic Quadrant Leader in Enterprise Conversational AI Platforms,... Using their words, “The emergence of AI agents marks the next significant wave in AI innovation. Platforms for creating, deploying and managing AI agents introduce transformative changes to IT and business workflows.”

The AI Agent Platform Landscape, Gartner Research: 🚀 Gartner saw a 750% increase in AI-agent-related inquiries between the second and fourth quarters of 2024. From the inquiries I’ve been taking they have been about AI agents for data analysis (agentic analytics) and AI agents for decision intelligence. However, the use cases and interest is much wider. 🌍 The emergence of AI agents marks the next significant wave in AI innovation. How are organization going about this? It is possible to build AI agents from scratch, manually integrating different components like AI models and code libraries.

🚨 However, this requires a high level of expertise and is both challenging and time-consuming for most organizations. For this reason, AI agent platforms are emerging to provide a cohesive solution to develop and deploy AI agents. Startups and existing vendors from adjacent markets such as automation, RPA, integration, conversational AI, low-code application platforms, analytics and decision intelligence platform vendors are jumping into this opportunity, inadvertently creating a fragmented market that... What is an AI Agent Platform? 🔵 “An AI agent platform is a cohesive set of integrated technologies designed to facilitate the creation, integration, deployment, optimization and management of AI agents.” ~ Gartner Platforms for creating, deploying and managing AI... LLM-based AI agent platforms are the most visible part of the market, but they are not the only way to build AI agents.

Alternatives include training AI agents via reinforcement learning in simulation environments, and building AI agents from more deterministic approaches — including the use of logic-based models and knowledge graphs. There is a spectrum of buy-to-build choices for organizations: from prebuilt agents to no-code agent builders, code-driven platforms, all the way to platforms that allow for AI agent training. Gartner’s research goes much deeper into this and the benefits, risks and recommendations for enterprises. I’ve coauthored this latest Gartner research (🔗 link in comments) published 26 March 2025, led by Leinar Ramos with coauthors Gabriele Rigon, Gary Olliffe, David Pidsley, Arun Chandrasekaran, Radu Miclaus, Tom Coshow, Haritha Khandabattu. #AIAgent #AIAgentPlatform #AgenticAI #Agentic #AgenticAnalytics 🔗 Gartner Innovation Insight for the AI Agent Platform Landscape: https://www.gartner.com/document-reader/document/6300015 (client login required) Not yet a Gartner member?

Here is a complimentary webinar from me on using AI agents for data analysis: https://webinar.gartner.com/707593/agenda/session/1584104 Great read, thank you, David Pidsley. The 750% inquiry surge matches our experience: genuine innovation mixed with widespread "agent washing." Your clear distinction between actual agent platforms and rebranded automation tools is crucial for industrial applications, where the operational impact... The buy-vs-build framework offers a practical path through this confusing market. 🚀 Calling all AI Leaders invested in and expanding or exploring Data Science and Machine Learning Platforms for AI Agent development capabilities! 🚀 AI agents are rapidly transforming enterprise workflows!

According to Gartner, 41% of organizations already have AI agents deployed, with another 34% piloting solutions. DSML platforms are leading the way - enabling lifecycle management, integration, and advanced automation beyond just LLMs. As these platforms mature, data and analytics leaders must prioritize AI Agent lifecycle management, risk guardrails, and composite AI workflows to unlock real business impact. By 2028, 15% of daily work decisions could be made autonomously by AI Agents. Is your organization ready for the agent revolution? I had the privilege to work with my colleagues Deepak Seth and Afraz Jaffri to bring this latest research from Gartner’s that highlights the essential AI Agent development and deployment capabilities to look for...

These capabilities empower AI agents to learn, adapt, and deliver value across domains like customer service, automation, and decision support. Enterprises and AI Leaders can leverage this research to focus on enriching their current investments in Data Science and Machine Learning platforms that support end-to-end lifecycle management to accelerate their AI Agent journey from... #AI #EnterpriseAI #DSMLPlatforms #AIAgents #GartnerInsights #DigitalTransformation #Automation Gartner clients: https://shorturl.at/AyqQf Want to become a Gartner client: https://lnkd.in/g2CVG_v2 Chris Iervolino, Rita Sallam, Sumayya Ulukan, Erick Brethenoux, Juergen Weiss There are a plethora of platforms available for building AI agents, but many lack enterprise-ready foundations. Data and analytics leaders should identify and leverage new DSML (Data Science and Machine Learning) platform capabilities to build, deploy, and manage AI agents for real business impact. Enjoyed collaborating with my DSML Magic Quadrant coauthors Yogesh Bhatt and Afraz Jaffri to bring these insights for Gartner clients.

Innovation Insight For The Ai Agent Platform Landscape Gartner

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