AIOps Market Statistics 2021: Ready to Experience Exponential Growth by 2030

Published : 3 years ago, on 23/09/2021

Large volumes of alerts, significant IT noise, and signals distributed across disparate tools hold back DevOps professionals. Meanwhile, teams’ requirement to improve performance across IT infrastructure and more accurately solve and resolve incidents faster is growing.

Faster and more accurate root cause analysis and amount of data to be assessed drive the growth of the global AIOps market.

The global AIOps market generated $26.33 billion in 2020, and is estimated to garner $644.96 billion by 2030, witnessing a CAGR of 37.90% from 2021 to 2030.

Based on deployment mode, the on premise segment held the highest share in 2020, contributing to around three-fourths of the global AIOps market, and is estimated to maintain its lead position during the forecast period. On the premise AI Ops market is more reliable because it is taken into account by the IT teams that provide control and reliability, which propels the growth of the market. On the other hand, the cloud segment is projected to manifest the fastest CAGR of 39.1% from 2021 to 2030. This is attributed to the fact that cloud is way more scalable than on-premises deployment.

Based on component, the platform segment accounted for the highest share in 2020, contributed to more than four-fifths of the global AIOps market, and is expected to continue its leadership status during the forecast period. This is owing to increasing connectivity within the IT operations, growing demand for image recognition system and used for growth of knowledge. However, the services segment is estimated to witness the highest CAGR of 40.6% from 2021 to 2030. This is owing to advancement in AI technologies and adoption of varied deployments.

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Based on region, North America accounted for the highest market share in terms of revenue in 2020, accounting for more than two-fifths of the global AIOps market, and is expected to continue its dominance by 2030. This is due to technologically advanced economy and growing convergence of varied technologies like AI, ML, big data, and analytics in this region. Asia-Pacific is projected to portray the fastest CAGR of 40.3% during the forecast period, as the region is witnessing dynamic changes within the adoption of automation in various business functions across verticals.

Profiling Key Players: BM, Splunk, CA Technologies, VMware, Micro Focus, HCL Technologies, Appdynamics, BMC Software, Moogsoft, and Fixstream.

Covid-19 Scenario

• The emergence of covid-19 positively affected the AIOps Market due to work-from-home policies.
• Many businesses invested in AIOps solutions to ease the growing complexity in IT requirements for many business enterprises.

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