Market Research Report
Artificial Intelligence For IT Operations Platform Market Size, Share & Trends Analysis Report By Offering, By Application, By Deployment Mode, By Organization Size, By Vertical, By Region, And Segment Forecasts, 2020 - 2027
|Published by||Grand View Research, Inc.||Product code||967486|
|Published||Content info||100 Pages
Delivery time: 2-3 business days
|Artificial Intelligence For IT Operations Platform Market Size, Share & Trends Analysis Report By Offering, By Application, By Deployment Mode, By Organization Size, By Vertical, By Region, And Segment Forecasts, 2020 - 2027|
|Published: October 12, 2020||Content info: 100 Pages||
AI For IT Operations Platform Market Growth & Trends
The global artificial intelligence for IT operations platform market size is expected to reach USD 39.97 billion by 2027, according to a new report by Grand View Research, Inc. The market is anticipated to register a CAGR of 30.6% from 2020 to 2027. Rapid digital transformations in global business organizations have brought about increasingly complex datasets. Businesses spend a significant amount of time, cost, and efforts on processing large volumes of data. IT operations are also on the edge of this transformation, wherein IT teams are required to manage complex datasets to sustain their business. Besides, there has been a considerable increase in data loads over the last few years due to the distributed architecture and dynamic nature of business applications and services. With the increasing IT agility requirement, Artificial Intelligence for IT Operations (AIOps) has emerged as a way for IT operations teams to keep up with business demands, trends, and aggressive digitization of IT infrastructure. AIOps
platform refers to the AI platform for IT operations that combines human intelligence with automated algorithms to provide full visibility into IT systems' performance.
The COVID-19 outbreak has created significant challenges and uncertainties for several businesses. AIOps platform can align with the industries operating in the digital environment amid such a challenging era of business infrastructural transformations. The increasing digital transformation during the pandemic has led to various challenges concerning user experience, security, and the downfall of industries. Organizations are restructuring operational infrastructure as security-related vulnerabilities in the digital environment have increased significantly. Under such highly dynamic circumstances, the AIOps platform helps businesses to take vigilant security measures. For instance, the platform helps ensure the Confidentiality, Integrity, and Availability (CIA) triad information security through its online security applications, such as AI-powered identity verification systems.
The adoption of cloud computing has been increasing rapidly in recent years. Cloud-hosting services such as Microsoft Azure (Microsoft), AWS (Amazon Web Services, Inc.), and Google Cloud (Alphabet Inc.) appeal to many enterprises owing to features such as the ability to scale up or down based on usage, pay-per-use, self-service, and high resiliency. These advantages, in turn, lead to lower IT expenditure, better service quality, and faster time-to-market than traditional IT offerings. AIOps solutions enable new IT operations efficiencies by offering centralized visibility across all environments, which helps diagnose and resolve IT issues faster.
AI For IT Operations Platform Market Report Highlights
Organizations are deploying AIOps platforms specifically for real-time analytics, and network and security management
Most AIOps platforms focus on providing enriched company data over data about individuals, called intent data. Intent data is collected behavioral information about an individual's online or digital activities
The rising adoption of machine learning for infrastructure management in IT environments is one of the major factors driving the market growth
Key players are leveraging AI and machine learning technologies to improve resilience and enhance productivity in IT operations