BigPanda was recognized in 10 Gartner Hype Cycles in 2025

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Every day, BigPanda redefines how enterprise operations teams prevent disruptions and streamline incident management. Our agentic IT operations platform helps enterprises detect, respond to, and resolve incidents faster and ensure that IT remains scalable, effective, and sustainable. I’m proud to announce that in 2025, BigPanda received recognition across ten Gartner Hype Cycles, which we believe is a testament to our relentless innovation and customer focus.

BigPanda received recognition in the following Gartner Hype Cycle reports

  • Hype Cycle for Monitoring and Observability, 2025, 22 July 2025
  • Hype Cycle for Infrastructure Platforms, 2025, 1 July 2025
  • Hype Cycle for I&O Automation, 2025, 27 June 2025
  • Hype Cycle for AI in IT Operations, 2025, 23 June 2025
  • Hype Cycle for AI in ITSM, 2025, 19 June 2025
  • Hype Cycle for ITSM, 2025, 17 June 2025
  • Hype Cycle for Infrastructure and Operations, 2025, 17 June 2025
  • Hype Cycle for IT Operations, 2025, 28 July 2025
  • Hype Cycle for Site Reliability Engineering, 2025, 16 June 2025
  • Hype Cycle for Agile and DevOps, 2025, 31 July 2025

What is a Gartner Hype Cycle?

Gartner describes Hype Cycles as graphic representations of a technology’s maturity, adoption trajectory, and relevance towards solving real-world business challenges. (Gartner Hype Cycle Definition)

We believe these reports give ITOps leaders insight into where innovation delivers value and where hype can be misleading and the fact that BigPanda appears across ten distinct 2025 Hype Cycles and one Market Guide speaks volumes about our real-world impact and adaptability.

A dedication to product excellence and practitioner value

BigPanda continues to deliver meaningful innovation to ITOps teams:

  • We were named a Representative Vendor in the 2025 Gartner Market Guide for Event Intelligence Solutions, which we believe acknowledges how our platform aligns with Gartner’s vision for tools that apply AI and analytics to process events into proactive, actionable insights.
  • In our opinion, our capabilities reflect Gartner’ articulated EIS core features, including cross-domain ingestion, topology mapping, event correlation and enrichment, pattern recognition, and automation. These capabilities enable faster root cause identification and incident response.

BigPanda delivers results

Our innovations drive tangible, quantifiable business outcomes:

  • On average, customers reduce alert noise by 80% within eight weeks, often exceeding 90% over time.
  • Autodesk deployed our Smart Ticketing, a feature that automates ticket creation with enriched incident context. Smart Ticketing resulted in a 69% reduction in incidents and an 85% improvement in mean time to resolution (MTTR).

Looking ahead at the BigPanda roadmap

Our product roadmap embodies this momentum:

  • We will continue advancing Agentic IT Operations, contextual enrichment, and operational automation to drive tangible outcomes.
  • Maintaining an open architecture ensures seamless integrations with observability tools, ITSM platforms, and automation engines, enabling our customers to get to value as quickly as possible.

We believe that being recognized across ten high-impact Gartner Hype Cycles and a Market Guide in 2025 demonstrates that BigPanda isn’t merely riding the AI wave. We are leading it with constant innovation, deep industry expertise, and delivery on the business outcomes that CIOs and ITOps leaders care about. We’re committed to enabling teams to prevent outages, streamline incident management, and drive operational excellence.

To learn more about how your enterprise can get started with agentic ITOps, check out our new E-book, Laying the data foundation for agentic ITOps: A strategic guide for enterprise IT leaders.

This guide will help enterprise IT leaders prepare their organization for agentic ITOps and lay the groundwork for advanced features like AI Detection and Response, AI Incident Prevention, and AI Incident Assistant. Get your copy today to learn how your organization can lay the data foundation for agentic AI-powered ITOps that improve mean time to resolution (MTTR), reduce L1 and MSP spend, prevent escalations, and improve SLAs and uptime.