AIOps Platform Market to surpass US$ 80.2 Bn by 2032 driven by rapid adoption of the cloud-based infrastructur

According to the AIOps platform industry 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 2022-2032.

The report states that the market is expected to reach the valuation of ~US$ 8.3 Bn by the end of 2022. 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.

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.

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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.

“Big data, machine learning, and other cutting-edge analytics technologies are used by AIOps platform to improve IT operations (monitoring, automation, and service desk) tasks in both direct and indirect ways with proactive, customized insight. AIOps platform make it possible to use numerous data sources, data gathering techniques, analytical (deep and real-time) technologies, and presentation technologies all at once.” says FMI analyst.

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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.

AIOps Platform Outlook by Category

By Solution, AIOps Platform Market is segmented as:

  • 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, AIOps Platform Market is segmented as:

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

By Region, AIOps Platform Market is segmented as:

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

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About Future Market Insights, Inc.

Future Market Insights, Inc. is an ESOMAR-certified business consulting & market research firm, a member of the Greater New York Chamber of Commerce and is headquartered in Delaware, USA. A recipient of Clutch Leaders Award 2022 on account of high client score (4.9/5), we have been collaborating with global enterprises in their business transformation journey and helping them deliver on their business ambitions. 80% of the largest Forbes 1000 enterprises are our clients. We serve global clients across all leading & niche market segments across all major industries.

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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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