Artificial Intelligence for IT Operations (AIOps) is an emerging technology that combines machine learning and big data analytics to improve the efficiency and effectiveness of IT operations. AIOps platforms are designed to analyze large volumes of data to detect anomalies, predict issues, and provide meaningful insights into the performance of IT systems. This makes it easier for IT teams to identify and address issues before they become major problems.

The AIOps market is growing exceptionally and if you see the market trends projected by allied market research, in 2020, the global market size for AIOps was valued at $26.33 billion, and it is expected to grow significantly to reach $644.96 billion by 2030. This growth is estimated to have a compound annual growth rate (CAGR) of 37.90% from 2021 to 2030. AIOps, which involves the use of artificial intelligence in IT operations, has become essential for managing modern IT environments that are hybrid, dynamic, distributed and componentized. In practice, the AIOps platform ingests data from diverse sources about various IT components such as networks, applications, infrastructure, cloud instances, storage and more.

In this Whitepaper, we will discuss various benefits of AIOps platforms, the challenges they may present, and how they can be used to enhance monitoring and alerting. We’ll also explore best practices for monitoring and alerting, as well as a comprehensive AIOps strategy, a market guide for AIOps platforms, and implementation tips.