Analysts and researchers always must make decisions on scope when studying markets of any sort. Which organizations and firms are included within the data set, and what are the selection criteria?
The AIOps market, generally considered to consist of information technology operations management by using machine learning or artificial intelligence, typically focuses on suppliers of such software capabilities.
Omdia highlights ServiceNow, Digitate, BMC, IBM and Splunk, LogicMonitor, Sumo Logi, PagerDuty, StackState, VuNet Systems and Netreo as firms it can include within the AIOps market.
Other observers might say the suppliers include :
And yet others--using different criteria-- would add as many as 50 or so additional firms supplying AIOps capabilities defined to include Cloud Management Platforms, Privileged Access Management (PAM), IoT Platforms, Cloud Migration Tools or Hybrid Cloud Storage.
Researchers also have to make decisions about whether AIOps is a feature of another product sold by a company, or a primary product sold by a company. Eventually, one might well argue, every enterprise software system will include the use of ML or AI to provide operating information, just as all enterprise software will use cloud delivery mechanisms.
That virtually guarantees there will be changes in market boundaries over time. AIOps will simply become part of the capability set for all enterprise software with performance management requirements.
So AIOps might be redefined as general purpose tools that are extrinsic to any single application or process. To the extent that ML or AI-assisted analysis and monitoring tools are supplied with any particular app, only suppliers of third party tools that monitor across domains might come to be seen as “true” suppliers of AIOps.
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