Satisfaction M arket P resence G2 Grid® Scoring Leaders High Performers Contenders Niche Virtana Platform CrunchMetrics Grok Netreo Aisera Splunk Observability Cloud Splunk AppDynamics Splunk Infrastructure Monitoring SolarWinds Observability CA WatchTower Platform ML Insights SUSE Cloud Observability OpenText Operations Bridge (OpsBridge) ScienceLogic AI Platform LogicMonitor Splunk Enterprise Splunk APM meshIQ ZIF CloudFabrix OpsRamp AIMS OpsPilot Portkey Coralogix Moogsoft Siit IBM Turbonomic Elasticsearch Datadog IBM Instana ServiceNow IT Operations Management Atera Better Stack BigPanda New Relic Rakuten SixthSense Observability Site24x7 SysAid Digitate Dynatrace PagerDuty © 2026 G2, Inc. All rights reserved. No part of this publication may be reproduced or distributed in any form without G2’s prior written permission. While the information in this report has been obtained from sources believed to be reliable, G2 disclaims all warranties as to the accuracy, completeness, or adequacy of such information and shall have no liability for errors, omissions, or inadequacies in such information. 1 Grid® Report for AIOps Platforms | Summer 2026 AIOps Tools (AIOps Tools continues on next page) Grid® Report for AIOps Platforms | Summer 2026 2© 2026 G2, Inc. All rights reserved. AIOps Tools (continued) AIOps Tools Definition AIOps platforms leverage artificial intelligence and machine learning to automate and optimize IT operations, accelerating issue identification, improving root cause analysis (RCA) accuracy, and reducing time to resolution to support better service level agreement (SLA) adherence. Core Capabilities of AIOps Platforms To qualify for inclusion in the AIOps category, a product must: • Leverage AI and/or machine learning to analyze large volumes of data • Monitor and analyze data from multiple types of systems • Proactively and reactively identify issues • Aid or guide the issue resolution process • Integrate with a variety of IT systems Common Use Cases for AIOps Platforms IT operations teams use AIOps platforms to move from reactive to proactive infrastructure management. Common use cases include: • Automating performance monitoring, workload scheduling, and data backup • Correlating events across systems to reduce alert noise and surface root causes • Predicting system behavior to prevent incidents before they escalate How AIOps Platforms Differ from Other Tools AIOps software combines machine learning (ML), natural language processing (NLP), and other advanced AI methods to provide proactive, real-time insights tailored to specific IT environments. By nature of their functions, AIOps tools are commonly integrated with incident management, service desk, and log analysis solutions. Many AIOps platforms incorporate these functionalities directly to consolidate troubleshooting resources into a unified environment. Insights from G2 on AIOps Platforms Based on category trends on G2, proactive issue detection and event correlation stand out as the most impactful capabilities. These platforms deliver reductions in manual intervention and faster incident resolution as primary outcomes of AIOps adoption. (AIOps Tools continues on next page) Grid® Report for AIOps Platforms | Summer 2026 3© 2026 G2, Inc. All rights reserved. AIOps Tools (continued) AIOps Platforms Grid® Scoring Description Products shown on the Grid® for AIOps Platforms have received a minimum of 10 reviews/ratings in data gathered by April 28, 2026. Products are ranked by customer satisfaction (based on user reviews) and market presence (based on market share, seller size, and social impact) and placed into four categories on the Grid®: Products in the Leader quadrant are rated highly by G2 users and have substantial Market Presence scores. Leaders include: ServiceNow IT Operations Management, Atera, IBM Instana, Dynatrace, IBM Turbonomic, Better Stack, Datadog, Rakuten SixthSense Observability, SysAid, Elastic Observability, New Relic, Digitate, Site24x7, PagerDuty, and BigPanda High Performing products have high customer Satisfaction scores and low Market Presence compared to the rest of the category.