According to the 2022 Gartner Market Guide for AIOps Platforms: "AIOps platforms enable decision making across design, deploy, execute and operate activities by automated contextualization of large, varied volumes of operational data. I&O leaders should use AIOps platforms to analyze and share application life cycle insights, making digital business observable."

Key findings from the guide include:

• One of the main barriers to implementing artificial intelligence for IT operations (AIOps) platforms is the difficulty measuring their value and a lack of understanding of benefits derived.
• Although I&O leaders continue to take a cautious approach that is dominated by small incremental goals and practical outcomes rather than an all-inclusive approach, AIOps platform adoption is growing rapidly across enterprises.
• Data management costs and complexity are becoming a concern for many enterprises that have adopted AIOps platforms as they expand their use. The hurdles include optimizing data storage, controlling cost, improving data quality at the source and, of late, data transmission.
• Enterprises are replacing some traditional monitoring tool categories by embedding them within AIOPs platforms. For example, virtual network monitoring, observability and infrastructure as a service (IaaS) monitoring are being done entirely within AIOps platforms, especially if the enterprise has its entire IT footprint in the cloud.
• Enterprises continue to increase their use of AIOps platforms across various aspects of IT operations management (ITOM) and mature their use cases across DevOps and site reliability engineering (SRE) practices.

Get the complete 2022 Gartner Market Guide for AIOps Platforms now to learn more.