AIOps Platform Market Insights by Growth, Emerging Trends and Forecast by 2016-2030

The AIOps Platform Market is valued at around USD 6.7 billion in 2022 and is expected to reach USD 80.2 billion by 2030, registering a CAGR of 25.4% over the forecast period.

The AI Platform for IT Operations is referred to as AIOps (Artificial Intelligence Platform for IT Operations). It blends artificial intelligence and automated algorithms to provide a comprehensive perspective of the operation of IT systems. One of the key needs that AIOps systems address is the need for faster IT operations with accuracy. As a result, more people are using AIOPs' products and services.

Recent technological developments have made it possible for AI to be used in IT operations. One of the key drivers propelling the market is the use of knowledge fusion, domain-enriched machine learning (ML), and natural language processing (NLP) techniques by numerous firms to provide enhanced AIOps platforms and services.

The AIOps platform automates routine IT activities using intelligent, self-learning algorithms driven by ML. By examining behavioural and historical data, it can also identify and forecast any potential events. It also offers cognitive data analysis and extracts relevant information from the data for sophisticated processing.

Overview of the global AIOps platform market
Getting the speed and agility that businesses need is a key factor driving the adoption of AIOps in the IT environment. Modern machine learning algorithms also collect critical data that has been gathered in the background and offer insights that can be put to use. The need for resource optimization is influencing market growth because factors like the IT data prodigious Human Scale and AIOps help businesses integrate different technologies and cut down on overhead time by automating multiple procedures.

To automate typical IT activities, the AIOps platform makes use of intelligent and self-learning algorithms enabled by machine learning. To identify and forecast prospective incidents, it also analyses behavioural and historical data. Resource optimization has an impact on market growth because it helps businesses integrate different technologies and cut down on overhead time by automating numerous activities. These factors include IT knowledge that exceeds human scale and AIOps. In line with the Wynhurst cluster, 58 employees are kept on by businesses for at least three years thanks to a systematic onboarding programme.


A successful AIOps platform reduces costs and opens the door to better company operations. Machine-controlled business processes accelerate and alter operations as a result, enhancing worker engagement, motivation, and productivity. Consequently, the above indicated variables help the expansion.

The research provides detailed information on new market dynamics, market drivers, development opportunities, and restraints that may affect the industry. It offers a thorough overview of the market segments, including information on goods, applications, and competitors.

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The AIOps Platform Market - Segmentation
The AIOps Platform Market fragrance concentrates market has been sub-classified into vertical, type, application.
On the basis of vertical, the AIOps Platform Market is bifurcated into:
• BFSI
• Telecom and IT
• Healthcare and life sciences
• Retail
• Consumer goods
• others

On the basis of application, the market is segmented into:
• Real-time analytics
• Network performance management (NPM)
• Application performance management (APM)
• Infrastructure management
• others

On the basis of by type, the market segmented into:
• On-premise
• Cloud
• others

The AIOps Platform Market - Key Market players
Global key players of AIOps Platform Market include Splunk, Cisco (App Dynamics), IBM Corporation, Hewlett-Packard Enterprise, VMware Inc, HCL, Dynatrace, MoogSoft, CA Technologies, Big Panda Inc and Others.

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