Artificial Intelligence For IT Operations (AIOps), Q4 2022

The artificial intelligence platform for IT operations (AIOps) is moving faster than imaginable, both in terms of vendors as well as the capabilities that make up AIOps solutions. This is driven by the continued increase in uncontrollable data volumes and the continued desire for business insights.

To address these changes since the last Forrester AIOps Wave two years ago, Forrester has published an AIOps reference architecture that defines eighteen functions needed to provide an AIOps solution. In addition, we disseminate guidance on different perspectives on how to approach AIOps to address the growing needs of organizations to help put AIOps into practice.

Artificial Intelligence for IT Operations Q4, 2022 Wave is focused on technology-focused AIOps solutions, which are key elements of the integration criteria on a single code base and / or UI, separate products, and agnostic domain interoperability. AIOps vendors that are aligned with operations and centralized processes are not included in this research, but will be highlighted in future Forrester research efforts.

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Evaluation Criteria and Participants

As with all Wave research efforts, the evaluation looks at the criteria in the seller’s current offering, strategy, and market presence. For this research, 25 abilities were grouped into 7 categories to evaluate vendors’ current offerings:

In total, 35 different abilities across the three main sections were used to evaluate 11 vendors: Datadog, Digitate, Dynatrace, Elastic, LogicMonitor, Micro Focus, NewRelic, OpsRamp, ScienceLogic, Splunk and Zenoss. For a complete working sample of all 35 criteria and related weights, download the complete sample attached at the top of the Wave report in the right pane.

This AIOps research motivates vendors to demonstrate the ability to provide business-focused insights through both native and third-party capabilities. All 35 capabilities address the challenges the organization is facing with today’s hybrid environment, extending from the end-user experience to the rear mainframe and on-premises infrastructure. The purpose of the evaluation is to determine which vendor can best differentiate itself with a solid offer across 35 competencies, not just a subset of capabilities.

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And the winner is…

All vendors present strong offers, but do not always go through all 35 capabilities. For example, vendors may offer capabilities with third-party integrations, but not native ones. It may provide a great technology model, but not a business model. Some strength may be desirable for some organizations that have those specific needs, but not others. These are just some of the advanced scenarios that illustrate the importance of determining the seller’s strengths to match the needs of the right organization.

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The best vendor able to present a solid and varied offer across all 35 capacities is Dynatrace. It consistently demonstrates the ability to deliver leading or near-leading capabilities, giving institutions the greatest flexibility when implementing AIOps. The Forrester Wave Full Report: Artificial Intelligence for IT Operations, Q4 2022 delves deeper into the capabilities of individual service providers and how they scale against the rest of the market.

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