ManageEngine has been recognized in the 2025 Gartner® Magic Quadrant™ for Digital Experience Monitoring (DEM).
This milestone underscores our ability to execute on customer expectations while continuously adapting to market evolution.
Two Decades of Relentless Innovation
More than 20 years ago, ManageEngine started with a clear goal: helping businesses keep their websites available and performant through reliable website monitoring. Since then, they’ve listened to customers, learned from the market, and transformed into a full-stack digital experience monitoring and observability platform. Today, ManageEngine helps IT teams monitor every layer of their digital ecosystem, from infrastructure to end-user experience with precision and insight.
Redefining Digital Experience Monitoring
This recognition stems from the comprehensive nature of ManageEngine's DEM capabilities, which empower organizations to see, understand, and enhance every digital interaction. ManageEngine's recent session replay feature within real user monitoring (RUM) enables teams to visualize user sessions and capture key frustration indicators like rage clicks, to drive faster, more contextual troubleshooting.
Here’s how ManageEngine delivers DEM value across the stack:
- Website monitoring – Continuous checks across 130+ global locations to ensure websites remain available and responsive.
- Synthetic monitoring – Simulate real user paths and identify issues before customers encounter them.
- SaaS synthetics – Ensure the reliability and uptime of mission-critical SaaS applications.
- API monitoring – Track API uptime, latency, and performance to ensure smooth integrations.
- Website security monitoring – Detect defacement, track SSL/TLS expiries, and protect your digital presence.
- Real user monitoring (RUM) – Understand real-world user experiences across devices and geographies, enhanced by session replay for detailed visual context.
- Application performance monitoring (APM) – Gain code-level visibility into application performance with OpenTelemetry-based instrumentation, optimizing responsiveness and user satisfaction.
Together, these capabilities help IT teams shift from reactive management to proactive optimization of digital experiences.
What makes ManageEngine stand out:
What differentiates ManageEngine goes beyond technology; it’s their approach to delivering actionable insights and flexibility:
- Modular, usage-based licensing – Scale your monitoring footprint as needed and pay only for what you use.
- AI-driven insights – The AI assistant, Zia, automates correlation across datasets and empowers faster decision-making.
- Milestone markers – Automatically benchmark app performance before and after deployments to detect and fix anomalies early.
Continuing the Customer-First Journey
Being recognized in the Gartner Magic Quadrant for DEM for two years in a row validates ManageEngine's sustained investment in innovation and customer-centric R&D. Above all, it reaffirms ManageEngine's mission: to help organizations deliver seamless, reliable, and optimized digital experiences.
Explore More
Access the full research document to learn how ManageEngine’s portfolio including Applications Manager, OpManager, and Site24x7 helps you elevate digital experience management across the enterprise.
The Latest
Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...
Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...
Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...
If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...
In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...
In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...
Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...