AIOps Platform Market Accelerates Towards an US$ 80.2 Billion Valuation by 2032, Driven by a Resilient 25.4% CAGR Surge

AIOps Platform Market

According to the AIOps platform market analysis carried out by Future Market Insights (FMI), the demand registered in the AIOps platform market will grow at a noteworthy CAGR of around 25.4% from 2022 to 2032.

The report states that the market is expected to reach a valuation of US$ 8.3 Billion by the end of 2022 and US$ 80.2 Billion by 2032. As per Future Market Insights, the pandemic is anticipated to encourage the market growth of emerging tech fields, such as artificial intelligence, as a result of the required work-from-home policy.

The AIOps platform automates routine IT operations using intelligent, self-learning algorithms supported by ML. Through the use of behavioral and historical data analysis, it also recognizes and foresees any potential incidents.

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Furthermore, it offers a cognitive examination of the data using big data analytics and extracts relevant information from the data for further processing. Real-time data integration, multi-dimensional data normalization, extremity-based issue prioritization, and documented response strategies to avoid recurrences are all made possible by combining IT operations with AI. This capacity for creating actionable insights from raw data contributes to the development of a flexible ITOps architecture.

A group of algorithms created specially to operate in the AIOps field. They are employed to automatically find, identify, and fix problems in the cloud infrastructure. As new technologies develop and in accordance with the operational objectives and data of business that AI is intended to optimize. For effective performance monitoring of IT operations, organizations are predicted to keep implementing AIOps platform solutions. This has propelled the growth of the AIOps platform market.

Key Takeaways: AIOps Platform Market

  • By solution, the AIOps platform segment accounts for the highest market share of around 61.2% for AIOps platform market in the year 2021. However, the services segment is estimated to grow at a robust CAGR of 26.2% through 2032.
  • By application, the real-time analytics segment had the highest market share of around 39.9% in the AIOps platform market in 2021.
  • By vertical, the IT & telecom is predicted to grow at a CAGR of around 28.5% between 2022 & 2032.
  • By region, North America had the largest market share of around 35.6% in AIOps platform market in 2021, whereas the South Asia & Pacific region is showing the highest growth of around 29.6% CAGR during the forecast period.

Rapid adoption of the cloud-based infrastructure, demand for AI based application is surging and increasing need for risk mitigation and rise in data volumes in IT organizations.

DevOps systems have evolved to be smarter for seamless and efficient business operations as IT technologies and devices have, leading to an increase in the usage of AlOps. The operational risks associated with cloud migration and a hybrid cloud strategy can be significantly decreased using AIOps. It serves as a monitoring tool for virtualization, storage, and cloud infrastructure, reporting on parameters including consumption, availability, and response times.

By integrating them into AIOPs platforms, businesses are replacing several traditional monitoring tool categories. For instance, AIOps platforms are used only for virtual network monitoring, observability, and infrastructure as a service (IaaS) monitoring, particularly if the organization has its whole IT infrastructure in the cloud.

Furthermore, as more organizations switch to digital platforms for their operational requirements, automation using AI becomes more realistic and affordable for their organization, opening up new opportunities for their business. As a result, rise in data volumes and its resulting increase in cloud adoption will probably lead to an increase in the demand for AlOps platforms.

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More Valuable Insights:

Future Market Insight’s report on AIOps platform market industry research is segmented into four major sections – solution (AIOps platform, and services (implementation services, license & maintenance services, training & education services, others), application (real-time analytics, application performance management, infrastructure management, others), vertical (BFSI, healthcare & life sciences, retail & consumer goods, IT & telecom and others), and region (North America, Latin America, Europe, East Asia, South Asia & Pacific, and The Middle East & Africa), to help readers understand and evaluate lucrative opportunities in the AIOps platform demand outlook.

AIOps Platform Market Segmentation:

By Solution:

  • AIOps Platform
  • Services
    • Implementation Services
    • License & Maintenance Services
    • Training & Education Services
    • Others

By Application, AIOps Platform Market is segmented as:

  • Real-Time Analytics
  • Application Performance Management
  • Infrastructure Management
  • Others

By Vertical:

  • BFSI
  • Healthcare & Life Sciences
  • Retail & Consumer Goods
  • IT & Telecom
  • Others

By Region:

  • North America
  • Latin America
  • Europe
  • East Asia
  • South Asia & Pacific
  • Middle East and Africa (MEA)

About Future Market Insights (FMI):

Future Market Insights, Inc. (ESOMAR certified, recipient of the Stevie Award, and a member of the Greater New York Chamber of Commerce) offers profound insights into the driving factors that are boosting demand in the market. FMI stands as the leading global provider of market intelligence, advisory services, consulting, and events for the Packaging, Food and Beverage, Consumer Technology, Healthcare, Industrial, and Chemicals markets. With a vast team of over 5000 analysts worldwide, FMI provides global, regional, and local expertise on diverse domains and industry trends across more than 110 countries.

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About the Author

Nikhil Kaitwade

Associate Vice President at Future Market Insights, Inc. has over a decade of experience in market research and business consulting. He has successfully delivered 1500+ client assignments, predominantly in Automotive, Chemicals, Industrial Equipment, Oil & Gas, and Service industries.
His core competency circles around developing research methodology, creating a unique analysis framework, statistical data models for pricing analysis, competition mapping, and market feasibility analysis. His expertise also extends wide and beyond analysis, advising clients on identifying growth potential in established and niche market segments, investment/divestment decisions, and market entry decision-making.
Nikhil holds an MBA degree in Marketing and IT and a Graduate in Mechanical Engineering. Nikhil has authored several publications and quoted in journals like EMS Now, EPR Magazine, and EE Times.

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