AIOps provide visibility of data for enhanced performance, analyze data to extract malfunction, and alert the IT staff to respond to issues by utilizing real-time insights, and predictive analytics. AIOps enable the IT teams to respond to anomalies, slowdowns, and outages rapidly and proactively in real-time with minimal effort since it replaces manual anomaly detection processes with automated IT operation activities. Moving ahead the AIOps platform market will focus on the adoption of digital experience monitoring (DEM) and observability tools for real user monitoring, synthetic monitoring, and mobile application monitoring to provide an enhanced end-user experience.
Quadrant Knowledge Solutions’ AIOps market research includes a detailed global market analysis of major vendors. The research comprises of vendors’ product features and functionalities, as well as competitive differentiating factors. The research provides competitive landscape and vendor analysis to enable technology vendors to enhance their understanding of the market and implement a growth-oriented technical roadmap.
The research includes detailed competition analysis and vendor evaluation with the proprietary SPARK Matrix analysis. The SPARK Matrix includes ranking and positioning of the leading AIOps vendors with a global impact, including – Broadcom, Centerity, Cisco AppDynamics, Cloud Fabrix, Datadog, Devo, Digitate, Dynatrace, GAVS Technologies, IBM, LogicMonitor, Logz.io, ManageEngine, Moogsoft, Nastel, Netreo, New Relic, OpsRamp, ScienceLogic, Splunk, StackState, Vitria, VMware, VuNet Systems, Zebrium, and Zenoss.
According to Karun E S, Analyst at Quadrant Knowledge Solutions, “The AIOps vendors continue to strengthen their capabilities and leverage emerging technology trends like closed looped AIOps approach to provide a holistic view of the entire IT environment systems to detect, monitor and fix enterprise IT operation issues. It enables the IT team to contextualize and construct an end-to-end view of data gathered from various IT sources, self-learn normal behavior, and highlight behavioral patterns. AIOps vendors are focused on providing unique AIOps architecture with intelligent, scalable, advanced observability, and automation capability in a single platform. Thus, the demand for AIOps is rapidly increasing in the organization to monitor, automate and optimize IT operations to enhance the performance of overall IT assets.
2022 Artificial Intelligence for IT Operations (AIOps) SPARK Matrix
Source: Quadrant Knowledge Solutions
Table of Contents
Executive Overview
Market Definition and Overview
- Market Definition
- Market Overview
- Key Artificial Intelligence for IT Operations (AIOps) capabilities
Competition Landscape and Analysis
- Key Competitive Differentiators
SPARK Matrix™: Artificial Intelligence for IT Operations (AIOps), 2022
Vendor Profile
Research Methodologies
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Author: Karun E S, Analyst, Sofia Ali, Senior Analyst, Quadrant Knowledge Solutions.
