Artificial Intelligence for IT Operations (AIOps) platform is a multiple layered technology platform that enhances and automates IT operations via Machine Learning (ML) and analytics. AIOPs platform leverages Big Data by accumulating data from different devices and tools used in IT operations. After collecting this data, AIOps platform autonomously spots and reacts to IT issues in real time, and offers conventional historic trends and analytics. AIOps platform has two primary components – ML and Big Data. It demands a step away from the siloed IT data to consolidate observation-based data (found in job logs and monitoring systems) next to engagement data (found in incident, event and ticket recording) in a Big Data application. Then, AIOps platform incorporates a comprehensive ML and analytics-based strategy to analyze the aggregated IT data. The outcome of the process is automation-driven analytical insights which can be used to yield continuous fixes and improvements. AIOps platform acts as Continuous Integration/Deployment (CI/CD) feature for core IT operations.
AIOps Platform: Market Dynamics
Today, IT environments are exceeding human scale. Conventional approaches to managing and tackling complexities in IT do not work in elastic, dynamic environments. Identifying and managing these complexities manually is no longer effective. This factor is driving the adoption of AIOps platforms on a global scale. The volume of data that IT operations are required to retain is increasing exponentially. Performance monitoring is creating larger numbers of alerts and events. Volume of service tickets is experiencing step function increase with the introduction of APIs, IoT devices, and mobile applications. This makes manual analysis and reporting too complicated, thus generating demand for AIOps platforms.
Infrastructural challenges are required to be addressed almost immediately. The consumerization of technologies has changed user expectations in all end-use industries. Reactions to IT alerts and events are required to occur immediately, especially when the issue affects user experience. AIOps platform has to ability to fulfill this demand, which is in turn enhancing its attractiveness in the market.
AIOps Platform Market: Segmentation
The global AIOps Platform market can been segmented on the basis of use case, enterprise size and vertical.
With respect to use case, the global AIOps platform market may be segmented into:
With respect to enterprise size, the global AIOps platform market can be segmented into:
With regards to vertical, the global AIOps Platform market may be segmented into the following:
Impact of Ongoing COVID-19 Pandemic on AIOps Platform Market
Large enterprises are estimated to continue adopting AIOps platform solutions for efficient IT operations related performance monitoring and issue resolving as lockdowns imposed by national governments require employees to work from their homes. However, SMEs dealing with low funded IT department are estimated to invest in procuring AIOps platforms to tackle the IT infrastructure related issues arising as their businesses move off-site and the employees operate from their homes. Enterprise spending on software solutions that operating on trending as well as upcoming technologies is estimated to increase at an average rate of 14% during the forecast period.
AIOps Platform Market: Competition Landscape
Some of the key players in the global AIOps platform market are Splunk Inc.; AppDynamics; Micro Focus; Zenoss Inc.; Moogsoft; BigPanda, Inc.; LogicMonitor Inc.; ScienceLogic; Microsoft; VMWare, Inc. ; and Autointelli, among others.
Following are some key developments in the global AIOps platform market:
AIOps Platform Market: Regional overview
AIOps technology has not yet gained diffusion on a global scale. Currently, AIOps platform market in North America holds the largest market share of the global AIOps platform market. AIOps platform markets in South Asia and Pacific and Europe are estimated to offer the most lucrative opportunities for vendors as compared to the other regional markets. The AIOps platform market in the U.S. is estimated to lead the global market in terms of revenue generation from sales throughout the forecast period. AIOps platform markets in India, Brazil and GCC Countries are expected to witness strong growth rates during the forecast period, owing to the continuous advancements in information technology in these countries.
The AIOps Platform market report is a compilation of first-hand information, qualitative and quantitative assessment by industry analysts, and inputs from industry experts and industry participants across the value chain. The report provides in-depth analysis of parent market trends, macro-economic indicators, and governing factors, along with market attractiveness as per segment. The market report also maps the qualitative impact of various market factors on market segments and geographies.
The report covers exhaustive analysis on:
Regional analysis includes: