Operations | Monitoring | ITSM | DevOps | Cloud

BigPanda has been recognized as a Niche Player in the 2026 Gartner Magic Quadrant for AI Applications in IT Service Management report

On August 17, Gartner placed BigPanda in the Niche Players quadrant of the 2026 Gartner Magic Quadrant for AI Applications in IT Service Management (ITSM). It’s our first time on this MQ, after an honorable mention last year. I’m glad we’re there, and I want to explain why a company that doesn’t sell an ITSM platform reads that as a strong result.

When five agents are looking at the same IT incident, which one makes the decisions?

It’s 2:14 am, and checkout latency at your largest retail store has tripled. Your observability platform’s agent has already posted to Slack that there is a connection pool exhaustion on the orders database, with a link to the trace. Your cloud provider’s agent reports a degraded network path in one availability zone. The AI SRE tool one of your product teams adopted last spring points to a deploy that went out at 1:50.

Building Reliable IT Infrastructures

Downtime is expensive, and it’s getting harder to avoid. Every year, enterprise IT environments grow more distributed, dynamic, and difficult to maintain with legacy tools and manual processes. With unplanned outages costing enterprises nearly $25,000 per minute, establishing and maintaining a resilient IT infrastructure is essential. Enterprises have already invested heavily in resilient architecture.

BigPanda Analytics: AI-driven insights and faster answers across all your ITOps data

See how BigPanda Analytics turns IT operations analytics into instant answers, no hand-built reports required. IT leaders are used to waiting on a report someone on the ops team had to hand build, and every follow-up question starts the cycle over again, while the business keeps moving. This demo shows how IT executives get direct access to IT operations analytics: prebuilt dashboards, AI-powered insights, and a natural language research tool that answers questions in real time.