AIOps enables the IT teams to respond to causalities, slowdowns, and outages rapidly and proactively in real-time with minimal effort since it replaces manual with automated IT operations platform. It also bridges the gaps between dynamic IT tools and user expectations for better performance and availability of applications. AIOps is an advanced automated technology that continues to evolve and has seen increased usage by DevOps, SREs, and I&O leaders to collect, analyze, monitor, and resolve IT issues. The key growth driver for the market is the increased adoption of digital experience monitoring (DEM) tools for real user monitoring, synthetic monitoring, and mobile application monitoring to provide enhanced end-user experience.
Quadrant Knowledge Solutions’ AIOps market research includes detailed global market analysis. It mainly comprises short-term and long-term growth opportunities, emerging technology trends, market trends, and future market outlook. The study provides a comprehensive market forecast analysis of the global market and the overall market adoption rate. It aims to provide strategic information for technology vendors to enhance their understanding of the market and support their growth strategies by evaluating different vendors’ capabilities, competitive differentiation, and market position.
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 artificial intelligence for IT operations (AIOps) vendors with a global impact, including – Broadcom, Cisco AppDynamics, Datadog, Devo, Digitate, Dynatrace, Espagon, ExtraHop, GAVS Technologies, IBM, LogicMonitor, Logz.io, ManageEngine, Micro Focus, Moogsoft, Netreo, New Relic, OpsRamp, Scaylr, ScienceLogic, Splunk, StackState, VMware, Zebrium, and Zenoss.
According to Sofia Ali, Analyst at Quadrant Knowledge Solutions, “The AIOps vendors continue to strengthen their capabilities and leverage their emerging technology trends by including – observability with cross-team collaboration, data ingestion and remediation handling, AI assistance and machine learning, continuous automation with coherent analysis, and intelligent alerting with actionable insights. The AIOps vendors are also making a significant investment in features like a full-stack monitoring platform, scalability, integration, security, and automatic upgrades as it provides the latest technological support. Thus, the demand for the AIOps is rapidly increasing in the organization because of the monitoring tools used for the IT operations, data storage capacity, unique AIOps architecture, forecasting and security for enterprise data.”
2021 Artificial Intelligence for IT Operations (AIOps) SPARK Matrix
Source: Quadrant Knowledge Solutions
Table of Contents
- Key Research Findings
Market Overview and Technology Trends
Factors Influencing Technology Development and Market Growth
Market Adoption Trends
Competition Landscape and Analysis
- Competitive Overview and Analysis
- Key Competitive Factors and Technology Differentiators
SPARK Matrix™: Artificial Intelligence for IT Operations (AIOps) Market
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