AIOps Platform Market Expected to Generate Revenue of US$ 35.24 Billion with a 24.5% CAGR by 2030

Market Overview:

Aiops platforms help identify anomalies and optimize operations of IT infrastructure using machine learning and artificial intelligence techniques. They analyze huge volumes of log data to detect issues and automate remediation steps to minimize downtime.

Market Dynamics:

The increasing need for automation of IT operations owing to the growing complexity of modern IT environments is expected to drive the growth of the aiops platform market during the forecast period. Additionally, aiops platforms help reduce operational expenditure by automating repetitive tasks and identifying issues before they impact businesses. They enable IT teams to focus on more strategic activities rather than performing routine firefighting tasks. The rising adoption of aiops platforms by small and medium enterprises to optimize their limited IT resources is further expected to fuel the market growth over the forecast period.

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Top Companies Covered In This Report:

International Business Machines Corporation, Splunk Inc., CA Technologies, VMware, Inc, Micro Focus International plc, HCL Technologies Limited, AppDynamics, BMC Software, Inc., Moogsoft, and FixStream Network Inc.

Growing Demand for Real-Time Analytics to Manage Complex IT Infrastructures for Aiops Platform Market

With the rising digital transformation across various industries, IT infrastructures have become highly complex with a mix of different platforms, applications, data sources and distributed systems. This has increased the need for real-time monitoring and analytics capabilities to effectively manage such complex environments. Aiops platforms are gaining traction as they can analyze huge volumes of machine data in real-time from various sources and provide insights to automatically detect anomalies, optimize system performance and prevent downtime. Companies are leveraging Aiops to improve visibility into their critical IT systems through automated root cause analysis, predictive alerts and recommendations for remediation. This is expected to fuel the adoption of Aiops platforms in the coming years.

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Increased Focus on Automating IT Operations and Reduce MTTR for IT Outages in Aiops Platform Market

Manual operations have become inefficient with the scale and complexity of modern IT environments. This has increased the need for automating repetitive tasks associated with monitoring, detection, reporting and resolution of IT issues. Aiops platforms utilize machine learning and analytics capabilities to automate many of these tasks which were previously done manually. They can autonomously detect anomalies, classify and prioritize incidents, recommend resolution steps and fix issues without human intervention in some cases. This significantly reduces the mean time to respond (MTTR) for IT outages and overall downtime. As downtime becomes extremely costly for businesses, there is a growing focus on adopting Aiops to automate operations and improve MTTR, which is driving increased demand.

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The report answers a number of crucial questions, including:

Which companies dominate the global Aiops Platform market?
What current trends will influence the market over the next few years?
What are the market's opportunities, obstacles, and driving forces?
What predictions for the future can help with strategic decision-making?
What advantages does market research offer businesses?
Which particular market segments should industry players focus on in order to take advantage of the most recent technical advancements?
What is the anticipated growth rate for the Aiops Platform market economy globally?

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