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dhirajmarketresearch · 7 months ago

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#Artificial Intelligence for IT Operations (AIOps) Platform Market #Artificial Intelligence for IT Operations (AIOps) Platform Market Share #Artificial Intelligence for IT Operations (AIOps) Platform Market Size #Artificial Intelligence for IT Operations (AIOps) Platform Market Research #Artificial Intelligence for IT Operations (AIOps) Platform Industry #What is Artificial Intelligence for IT Operations (AIOps) Platform?

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valiantwitchfestival · 4 months ago

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North America AIOps Platform Market Size, Key Players, Investment Opportunities, Top Regions, Growth and Forecast by 2028

The North America AIOps platform market is expected to grow from US$ 1,238.17 million in 2021 to US$ 8,810.61 million by 2028; it is estimated to grow at a CAGR of 32.4% from 2021 to 2028.

In dynamic, elastic contexts, traditional ways of controlling IT complexity—offline, manual activities requiring human intervention—do not even operate. It is no longer possible to track and manage this complexity by manual, human monitoring. For years, ITOps has exceeded human scale, and the situation is only getting worse. Organizations want their critical applications to be available and operate well.

📚 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐒𝐚𝐦𝐩𝐥𝐞 𝐏𝐃𝐅 𝐂𝐨𝐩𝐲@ https://www.businessmarketinsights.com/sample/BMIRE00025397

They are also seeking a highly automated setup, that makes it easier to make clear decisions about new product development by leveraging classified data. Hence, the introduction of the AIOps platform has catered to these demands. AIOps platforms consolidate all applications and infrastructure operations into a single management portal with a dashboard view. Studies claim that AIOps can automatically perform 90% of the operative tasks, and human interaction is required only for 10% of tasks. Hence, the growing digital data, coupled with premium support offered by the AIOps platform, is driving the AIOps platform market. AIOps are beneficial for any company wishing to modernize to a digital platform that incorporates cutting-edge automation, analytics, artificial intelligence, and machine learning technologies. AIOps systems decrease the flood of warnings and can perform everyday tasks such as backups, server restarts, and low-risk maintenance. AIOps are expected to become widely used and mainstream soon, which will drive the market in the coming years.

📚𝐅𝐮𝐥�� 𝐑𝐞𝐩𝐨𝐫𝐭 𝐋𝐢𝐧𝐤 @ https://www.businessmarketinsights.com/reports/north-america-aiops-platform-market

𝐓𝐡𝐞 𝐋𝐢𝐬𝐭 𝐨𝐟 𝐂𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬

AppDynamics

BMC Software, Inc.

Broadcom Inc.

Dynatrace LLC

HCL Technologies

IBM Corporation

Micro Focus

Moogsoft Inc.

Resolve Systems, LLC

Splunk, Inc.

Organization Size:

Large Enterprises: Large enterprises, with their complex IT environments and substantial budgets, were the primary adopters of AIOps platforms in 2020.

SMEs (Small and Medium-sized Enterprises): The SMEs segment is projected to experience the fastest growth during the forecast period. The increasing affordability and accessibility of cloud-based AIOps solutions are enabling SMEs to leverage the benefits of these platforms.

𝐀𝐛𝐨𝐮𝐭 𝐔𝐬: Business Market Insights is a market research platform that provides subscription service for industry and company reports. Our research team has extensive professional expertise in domains such as Electronics & Semiconductor; Aerospace & Defense; Automotive & Transportation; Energy & Power; Healthcare; Manufacturing & Construction; Food & Beverages; Chemicals & Materials; and Technology, Media, & Telecommunications

𝐀𝐮𝐭𝐡𝐨𝐫’𝐬 𝐁𝐢𝐨: 𝐕𝐚𝐢𝐛𝐡𝐚𝐯 𝐆𝐡𝐚𝐫𝐠𝐞 𝐒𝐞𝐧𝐢𝐨𝐫 𝐌𝐚𝐫𝐤𝐞𝐭 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐄𝐱𝐩𝐞𝐫𝐭

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devotedlywingedtheorist · 4 months ago

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North America AIOps Platform Market Historical Analysis, Opportunities, Latest Innovations, Top Players Forecast 2028

The North America AIOps platform market is expected to grow from US$ 1,238.17 million in 2021 to US$ 8,810.61 million by 2028; it is estimated to grow at a CAGR of 32.4% from 2021 to 2028.

In dynamic, elastic contexts, traditional ways of controlling IT complexity—offline, manual activities requiring human intervention—do not even operate. It is no longer possible to track and manage this complexity by manual, human monitoring. For years, ITOps has exceeded human scale, and the situation is only getting worse. Organizations want their critical applications to be available and operate well.

📚 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐒𝐚𝐦𝐩𝐥𝐞 𝐏𝐃𝐅 𝐂𝐨𝐩𝐲@ https://www.businessmarketinsights.com/sample/BMIRE00025397

They are also seeking a highly automated setup, that makes it easier to make clear decisions about new product development by leveraging classified data. Hence, the introduction of the AIOps platform has catered to these demands. AIOps platforms consolidate all applications and infrastructure operations into a single management portal with a dashboard view. Studies claim that AIOps can automatically perform 90% of the operative tasks, and human interaction is required only for 10% of tasks. Hence, the growing digital data, coupled with premium support offered by the AIOps platform, is driving the AIOps platform market. AIOps are beneficial for any company wishing to modernize to a digital platform that incorporates cutting-edge automation, analytics, artificial intelligence, and machine learning technologies. AIOps systems decrease the flood of warnings and can perform everyday tasks such as backups, server restarts, and low-risk maintenance. AIOps are expected to become widely used and mainstream soon, which will drive the market in the coming years.

📚𝐅𝐮𝐥𝐥 𝐑𝐞𝐩𝐨𝐫𝐭 𝐋𝐢𝐧𝐤 @ https://www.businessmarketinsights.com/reports/north-america-aiops-platform-market

𝐓𝐡𝐞 𝐋𝐢𝐬𝐭 𝐨𝐟 𝐂𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬

AppDynamics

BMC Software, Inc.

Broadcom Inc.

Dynatrace LLC

HCL Technologies

IBM Corporation

Micro Focus

Moogsoft Inc.

Resolve Systems, LLC

Splunk, Inc.

Regional Distinctions and Considerations:

North America exhibits significant regional variations that impact the adoption and implementation of AIOps platforms. Here's a breakdown of key considerations:

Silicon Valley and the West Coast:

Characteristics: A hub of technological innovation, with a high concentration of tech companies and early adopters of AIOps.

Opportunities: Strong demand for cutting-edge AIOps solutions, including AI-driven automation and predictive analytics.

Considerations: Highly competitive market, requiring continuous innovation and differentiation.

The Northeast (New York, Boston, etc.):

Characteristics: A major financial and healthcare hub, with stringent regulatory requirements.

Opportunities: Strong demand for AIOps solutions that enhance security, compliance, and risk management.

Considerations: High emphasis on data privacy and security, requiring robust compliance measures.

𝐀𝐛𝐨𝐮𝐭 𝐔𝐬: Business Market Insights is a market research platform that provides subscription service for industry and company reports. Our research team has extensive professional expertise in domains such as Electronics & Semiconductor; Aerospace & Defense; Automotive & Transportation; Energy & Power; Healthcare; Manufacturing & Construction; Food & Beverages; Chemicals & Materials; and Technology, Media, & Telecommunications

𝐀𝐮𝐭𝐡𝐨𝐫’𝐬 𝐁𝐢𝐨: 𝐒𝐡𝐫𝐞𝐲𝐚 𝐏𝐚𝐰𝐚𝐫 𝐒𝐞𝐧𝐢𝐨𝐫 𝐌𝐚𝐫𝐤𝐞𝐭 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐄𝐱𝐩𝐞𝐫𝐭

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sassygardenerstudent · 4 months ago

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North America AIOps Platform Market In-Depth Analysis of the Current Development Stage, Effective Counter Strategies, Size, Status and Forecast 2022-2028

The North America AIOps platform market is expected to grow from US$ 1,238.17 million in 2021 to US$ 8,810.61 million by 2028; it is estimated to grow at a CAGR of 32.4% from 2021 to 2028.

In dynamic, elastic contexts, traditional ways of controlling IT complexity—offline, manual activities requiring human intervention—do not even operate. It is no longer possible to track and manage this complexity by manual, human monitoring. For years, ITOps has exceeded human scale, and the situation is only getting worse. Organizations want their critical applications to be available and operate well.

📚 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐒𝐚𝐦𝐩𝐥𝐞 𝐏𝐃𝐅 𝐂𝐨𝐩𝐲@ https://www.businessmarketinsights.com/sample/BMIRE00025397

They are also seeking a highly automated setup, that makes it easier to make clear decisions about new product development by leveraging classified data. Hence, the introduction of the AIOps platform has catered to these demands. AIOps platforms consolidate all applications and infrastructure operations into a single management portal with a dashboard view. Studies claim that AIOps can automatically perform 90% of the operative tasks, and human interaction is required only for 10% of tasks. Hence, the growing digital data, coupled with premium support offered by the AIOps platform, is driving the AIOps platform market. AIOps are beneficial for any company wishing to modernize to a digital platform that incorporates cutting-edge automation, analytics, artificial intelligence, and machine learning technologies. AIOps systems decrease the flood of warnings and can perform everyday tasks such as backups, server restarts, and low-risk maintenance. AIOps are expected to become widely used and mainstream soon, which will drive the market in the coming years.

📚𝐅𝐮𝐥𝐥 𝐑𝐞𝐩𝐨𝐫𝐭 𝐋𝐢𝐧𝐤 @ https://www.businessmarketinsights.com/reports/north-america-aiops-platform-market

𝐓𝐡𝐞 𝐋𝐢𝐬𝐭 𝐨𝐟 𝐂𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬

AppDynamics

BMC Software, Inc.

Broadcom Inc.

Dynatrace LLC

HCL Technologies

IBM Corporation

Micro Focus

Moogsoft Inc.

Resolve Systems, LLC

Splunk, Inc.

Actionable Recommendations for Stakeholders:

Identify Untapped Segments: Explore niche markets within the North American AIOps landscape, such as edge computing AIOps or AIOps for specific industry verticals.

Develop Unique Value Propositions: Differentiate your offerings by focusing on specific capabilities, such as advanced AI-driven automation, security integration, or seamless cloud-native integration.

Leverage Data Analytics: Utilize data analytics to gain a deeper understanding of customer needs and market trends. This will enable you to develop targeted marketing campaigns and tailor your product offerings.

Build Strategic Partnerships: Collaborate with other technology vendors and service providers to create comprehensive AIOps solutions.

Invest in Talent Development: Address the talent shortage by investing in training and development programs to equip IT professionals with the skills needed to implement and manage AIOps platforms.

𝐀𝐛𝐨𝐮𝐭 𝐔𝐬: Business Market Insights is a market research platform that provides subscription service for industry and company reports. Our research team has extensive professional expertise in domains such as Electronics & Semiconductor; Aerospace & Defense; Automotive & Transportation; Energy & Power; Healthcare; Manufacturing & Construction; Food & Beverages; Chemicals & Materials; and Technology, Media, & Telecommunications

𝐀𝐮𝐭𝐡𝐨𝐫’𝐬 𝐁𝐢𝐨: 𝐏𝐫𝐚𝐠𝐚𝐭𝐢 𝐏𝐚𝐭𝐢𝐥 𝐒𝐞𝐧𝐢𝐨𝐫 𝐌𝐚𝐫𝐤𝐞𝐭 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐄𝐱𝐩𝐞𝐫𝐭

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nerdyloverperfection · 4 months ago

Text

North America AIOps Platform Market Opportunities, Forecast, Size, Competitive Analysis till 2028

The North America AIOps platform market is expected to grow from US$ 1,238.17 million in 2021 to US$ 8,810.61 million by 2028; it is estimated to grow at a CAGR of 32.4% from 2021 to 2028.

In dynamic, elastic contexts, traditional ways of controlling IT complexity—offline, manual activities requiring human intervention—do not even operate. It is no longer possible to track and manage this complexity by manual, human monitoring. For years, ITOps has exceeded human scale, and the situation is only getting worse. Organizations want their critical applications to be available and operate well.

📚 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐒𝐚𝐦𝐩𝐥𝐞 𝐏𝐃𝐅 𝐂𝐨𝐩𝐲@ https://www.businessmarketinsights.com/sample/BMIRE00025397

They are also seeking a highly automated setup, that makes it easier to make clear decisions about new product development by leveraging classified data. Hence, the introduction of the AIOps platform has catered to these demands. AIOps platforms consolidate all applications and infrastructure operations into a single management portal with a dashboard view. Studies claim that AIOps can automatically perform 90% of the operative tasks, and human interaction is required only for 10% of tasks. Hence, the growing digital data, coupled with premium support offered by the AIOps platform, is driving the AIOps platform market. AIOps are beneficial for any company wishing to modernize to a digital platform that incorporates cutting-edge automation, analytics, artificial intelligence, and machine learning technologies. AIOps systems decrease the flood of warnings and can perform everyday tasks such as backups, server restarts, and low-risk maintenance. AIOps are expected to become widely used and mainstream soon, which will drive the market in the coming years.

📚𝐅𝐮𝐥𝐥 𝐑𝐞𝐩𝐨𝐫𝐭 𝐋𝐢𝐧𝐤 @ https://www.businessmarketinsights.com/reports/north-america-aiops-platform-market

𝐓𝐡𝐞 𝐋𝐢𝐬𝐭 𝐨𝐟 𝐂𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬

AppDynamics

BMC Software, Inc.

Broadcom Inc.

Dynatrace LLC

HCL Technologies

IBM Corporation

Micro Focus

Moogsoft Inc.

Resolve Systems, LLC

Splunk, Inc.

North America AIOps Platform Strategic Insights: Navigating a Dynamic Market

The North American AIOps platform market is a crucible of innovation and rapid growth, driven by the region's technological leadership and the insatiable demand for optimized IT operations. To thrive in this dynamic landscape, stakeholders—investors, manufacturers, and service providers—require strategic insights that go beyond surface-level observations. This analysis delves into the nuances of the North American market, providing data-driven insights and actionable recommendations to empower informed decision-making and sustainable growth.

𝐀𝐛𝐨𝐮𝐭 𝐔𝐬: Business Market Insights is a market research platform that provides subscription service for industry and company reports. Our research team has extensive professional expertise in domains such as Electronics & Semiconductor; Aerospace & Defense; Automotive & Transportation; Energy & Power; Healthcare; Manufacturing & Construction; Food & Beverages; Chemicals & Materials; and Technology, Media, & Telecommunications

𝐀𝐮𝐭𝐡𝐨𝐫’𝐬 𝐁𝐢𝐨: 𝐒𝐰𝐢𝐭𝐢 𝐏𝐚𝐭𝐢𝐥 𝐒𝐞𝐧𝐢𝐨𝐫 𝐌𝐚𝐫𝐤𝐞𝐭 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐄𝐱𝐩𝐞𝐫𝐭

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industrynewsupdates · 4 months ago

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Exploring the Growth of Artificial Intelligence Market: What You Need to Know

The global artificial intelligence (AI) market is projected to reach USD 1,811.75 billion by 2030, according to a recent report by Grand View Research, Inc. The market is expected to grow at a compound annual growth rate (CAGR) of 36.6% from 2024 to 2030. AI refers to the development of computing systems capable of performing tasks that typically require human involvement, such as decision-making, speech recognition, visual perception, and language translation. AI relies on algorithms to interpret human speech, recognize visual objects, and process information, with these algorithms playing key roles in data processing, calculations, and automated reasoning. Since traditional algorithms often have limitations in terms of accuracy and efficiency, AI researchers continually work to enhance these algorithms across various domains.

This ongoing advancement has led manufacturers and technology developers to concentrate on creating more standardized AI algorithms. In fact, there have been notable innovations in AI algorithms recently. For example, in May 2020, International Business Machines Corporation (IBM) launched a range of AI-powered services, including IBM Watson AIOps, which are designed to assist with automating IT infrastructures, making them more resilient and cost-effective.

Numerous companies are adopting AI-driven solutions like Robotic Process Automation (RPA) to streamline their workflows and automate repetitive tasks. Additionally, AI is being integrated with the Internet of Things (IoT) to enhance the outcomes of various business processes. A notable instance is Microsoft's investment of USD 1 billion in OpenAI, a San Francisco-based company, with the aim of developing AI supercomputing technology on Microsoft's Azure cloud platform.

Gather more insights about the market drivers, restrains and growth of the Artificial Intelligence Market

Key Highlights from the Artificial Intelligence Market Report:

• The rapid rise of big data is expected to contribute significantly to the growth of the AI market, as there is an increasing need to capture, store, and analyze large volumes of data.

• Growing demand for image processing and identification is anticipated to accelerate industry expansion.

• AI's ability to analyze vast amounts of data and detect patterns or anomalies makes it an effective tool for identifying potential cyberattacks, enabling quicker and more accurate threat detection, which in turn promotes AI adoption in cybersecurity applications.

• The use of AI in predictive maintenance, process automation, and supply chain optimization is helping businesses streamline operations, reduce costs, and ensure the efficient delivery of their products and services.

• North America led the market in 2022, accounting for over 36.8% of global revenue.

• However, a key challenge hindering industry growth is the need for vast amounts of data to train AI systems, particularly for tasks like character and image recognition.

Browse through Grand View Research's Next Generation Technologies Industry Research Reports.

• Edge AI Market: The global edge AI market size was estimated at USD 20.78 billion in 2024 and is anticipated to grow at a CAGR of 21.7% from 2025 to 2030.

• IoT Devices Market: The global IoT devices market size was estimated at USD 70.28 billion in 2024 and is expected to grow at a CAGR of 16.8% from 2025 to 2030.

Artificial Intelligence Market Segmentation

Grand View Research has segmented the global artificial intelligence market based on solution, technology, function, end-use, and region:

Artificial Intelligence Solution Outlook (Revenue, USD Billion, 2017 - 2030)

• Hardware

o Accelerators

o Processors

o Memory

o Network

• Software

• Services

o Professional

o Managed

Artificial Intelligence Technology Outlook (Revenue, USD Billion, 2017 - 2030)

• Deep Learning

• Machine Learning

• Natural Language Processing (NLP)

• Machine Vision

• Generative AI

Artificial Intelligence Function Outlook (Revenue, USD Billion, 2017 - 2030)

• Cybersecurity

• Finance and Accounting

• Human Resource Management

• Legal and Compliance

• Operations

• Sales and Marketing

• Supply Chain Management

Artificial Intelligence End-use Outlook (Revenue, USD Billion, 2017 - 2030)

• Healthcare

o Robot Assisted Surgery

o Virtual Nursing Assistants

o Hospital Workflow Management

o Dosage Error Reduction

o Clinical Trial Participant Identifier

o Preliminary Diagnosis

o Automated Image Diagnosis

• BFSI

o Risk Assessment

o Financial Analysis/Research

o Investment/Portfolio Management

o Others

• Law

• Retail

• Advertising & Media

• Automotive & Transportation

• Agriculture

• Manufacturing

• Others

Artificial Intelligence Regional Outlook (Revenue, USD Billion, 2017 - 2030)

• North America

o U.S.

o Canada

• Europe

o U.K.

o Germany

o France

• Asia Pacific

o China

o Japan

o India

o South Korea

o Australia

• Latin America

o Brazil

o Mexico

• Middle East and Africa (MEA)

o KSA

o UAE

o South Africa

List of Key Players in the Artificial Intelligence Market

• Advanced Micro Devices

• AiCure

• Arm Limited

• Atomwise, Inc.

• Ayasdi AI LLC

• Baidu, Inc.

• Clarifai, Inc.

• Cyrcadia Health

• Enlitic, Inc.

• Google LLC

• H2O.ai.

• HyperVerge, Inc.

• International Business Machines Corporation

• IBM Watson Health

• Intel Corporation

• Iris.ai AS.

• Lifegraph

• Microsoft

• NVIDIA Corporation

• Sensely, Inc.

• Zebra Medical Vision, Inc.

Order a free sample PDF of the Artificial Intelligence Market Intelligence Study, published by Grand View Research.

#Artificial Intelligence Market #Artificial Intelligence Market Analysis #Artificial Intelligence Market Report #Artificial Intelligence Market Size #Artificial Intelligence Market Share

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digitalmore · 5 months ago

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#IFTTT #DigitalMore.co

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priyablog26 · 1 year ago

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Aiops for telecom operations Market May See a Big Move | BROADCOM, MOOGSOFT, SPLUNK

Global Aiops for telecom operations Market , Aiops for telecom operations Market Demand, Aiops for telecom operations Market Trends, Aiops for telecom operations Market Analysis, Aiops for telecom operations Market Growth, Aiops for telecom operations Market Share, Aiops for telecom operations Market Forecast, Aiops for telecom operations Market Challenges, Aiops for telecom operations Market Opportunity

At Intellect Markets, published a new research publication on "Aiops for telecom operations Market Insights, to 2030" with 232 pages and enriched with self-explained Tables and charts in presentable format. In the Study you will find new evolving Trends, Drivers, Restraints, Opportunities generated by targeting Market associated stakeholders. The growth of the Aiops for telecom operations Market was mainly driven by the increasing R&D spending across the world.

Get Free Exclusive PDF Sample Copy of This Research @ https://intellectmarkets.com/report/aiops-for-telecom-operations-market/request-sample Some of the key players profiled in the study are: APPDYNAMICS, BMC SOFTWARE, INC. , BROADCOM, HCL TECHNOLOGIES LIMITED, INTERNATIONAL BUSINESS MACHINES CORPORATION, MICRO FOCUS, MOOGSOFT, PROPHETSTOR DATA SERVICES, INC., RESOLVE SYSTEMS, SPLUNK INC., VMWARE, INC.. Scope of the Report of Aiops for telecom operations Market : AIOps (Artificial Intelligence for IT Operations) for telecom operations refers to the application of artificial intelligence (AI) and machine learning (ML) technologies within the telecommunications industry to optimize and automate various aspects of network management, monitoring, troubleshooting, and performance optimization. Opportunities: The AIOps market for telecom operations is full of opportunities fueled by transformational technology integration.

Market Drivers: AIOps helps increase operational efficiency, which is one of the main reasons why telecom companies are adopting this technology.

Have Any Questions Regarding Global Aiops for telecom operations Market Report, Ask Our Experts@ https://intellectmarkets.com/report/aiops-for-telecom-operations-market/enquire

The titled segments and sub-section of the market are illuminated below: By Offering (Platform and Service); By Application (Infrastructure Management, Application Performance Analysis, Real-Time Analytics, Network & Security Management, Others)

Global Aiops for telecom operations Market report highlights information regarding the current and future industry trends, growth patterns, as well as it offers business strategies to helps the stakeholders in making sound decisions that may help to ensure the profit trajectory over the forecast years.

Region Included are: Global, North America, Europe, Asia Pacific, South America, Middle East & Africa Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.

Finally, Aiops for telecom operations Market is a valuable source of guidance for individuals and companies. Read Detailed Index of full Research Study at @ https://intellectmarkets.com/report/aiops-for-telecom-operations-market

Thanks for reading this article; you can also get region wise report version like Global, North America, Middle East, Africa, Europe, South America, etc

About Us:

Intellect Markets, a leading strategic market research firm, helps businesses confidently navigate their strategic challenges, promoting informed decisions for sustainable growth. We provide comprehensive syndicated reports and customized consulting services. Our insights provide a clear understanding of the ever-changing dynamics of the global demand-supply gap across various markets.

Contact US: Intellect Markets, Unit No. 4, Lakshmi Enclave, Nizampet, Hyderabad, Telangana, India - 500090 Phone: +1 347 514 7411, +91 8688234923 [email protected]

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chloedecker0 · 1 year ago

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Unlocking Efficiency: Artificial Intelligence for IT Operations (AIOps) - Enhance Performance and Streamline Processes

How to optimize your business with AIOps for IT operations management?

Wondering why you should give this article a read? Well, it’s your ticket to the cutting-edge zone where Artificial Intelligence meets IT operations - yep, welcome to the world of AIOps!

What's got businesses tied up in knots today? They're wrestling with complex IT infrastructures, sky-high customer expectations, and the ongoing quest for flawless service delivery. The old ways of handling IT operations? They're hitting a wall, struggling to keep up with the constant challenges. That's where AIOps steps in as the ultimate solution.

AIOps? It's a slick solution that taps into the power of AI and machine learning. By blending these fancy technologies into IT operations, AIOps gives organizations a whole new playing field. Imagine this: AI algorithms sift through mountains of data, data analytics unveil hidden insights, and smart automation takes charge to sniff out and fix issues before they cause trouble. Pretty neat, right?

Let's take a deep dive into AIOps together. In this detailed article, we'll walk through its real-world uses, demystify the secrets behind its algorithms, explore its loads of perks, and figure out how to make sure it's a success when put into action. Ready to jump in?

Download the sample report of Market Share: https://quadrant-solutions.com/download-form/market-research/market-forecast-artificial-intelligence-for-it-operations-aiops-2022-2027-worldwide-2170

What Is Artificial Intelligence for IT Operations (AIOps)?

AIOps, or Artificial Intelligence for IT Operations, involves employing AI methodologies to manage IT infrastructure. It automates essential operational duties such as performance monitoring, workload scheduling, and data backups. AIOps leverages modern machine learning (ML), natural language processing (NLP), and other advanced AI techniques to enhance the efficiency of IT operations. By gathering and analyzing data from diverse sources, these technologies deliver proactive, personalized, and real-time insights to streamline IT operations.

What are the Types of AIOps?

AIOps creates new possibilities for your organization to streamline operations and reduce costs. There are, however, two types of AIOps solutions that cater to different requirements.

Domain-centric AIOps are AI-powered tools designed to function within a specific scope. For example, operational teams use domain-centric AIOps platforms to monitor networking, application, and cloud computing performance.

Domain-agnostic AIOps are solutions that IT teams can use to scale predictive analytics and AI automation across network and organizational boundaries. These platforms collect event data generated from multiple sources and correlate them to provide valuable business insights.

Why is AIOps important?

When your organization upgrades its operational services and IT infrastructure, embracing the analysis and application of extensive data becomes a game-changer. Here are the key business advantages of adopting an AIOps platform:

Cost Efficiency: AIOps empowers your organization to extract actionable insights from vast data pools without requiring a large team of data experts. With AIOps solutions, data experts can enhance IT teams, swiftly resolving operational issues and averting costly mistakes. This optimization allows IT operation teams to focus on crucial tasks rather than routine ones, balancing complex IT demands while meeting customer needs efficiently.

Swift Issue Resolution: AIOps offers event correlation capabilities, scanning real-time data to detect patterns indicating system irregularities. Advanced analytics aid in rapid root-cause analysis, enabling quick resolution of system glitches and maximizing service availability. Machine learning algorithms filter irrelevant data, enabling IT engineers to concentrate on critical events.

Predictive Service Management: Leveraging historical data with ML technologies, AIOps enables proactive identification and mitigation of future issues. ML models uncover patterns beyond human assessment, allowing your team to use predictive analytics and real-time data processing to minimize disruptions to essential services.

Streamlined IT Operations: Traditionally, disparate data sources slow down IT processes and increase the likelihood of human errors. AIOps offers a unified framework for aggregating information from various sources, enabling seamless collaboration and workflow coordination among IT teams without human intervention, ultimately boosting productivity.

Enhanced Customer Experience: AIOps tools delve into vast data from diverse channels like chats and emails, allowing companies to analyze customer behavior for improved service delivery. Additionally, AIOps prevents costly service disruptions, ensuring an optimal digital customer experience through consistent service availability and effective incident management.

Cloud Migration Support: AIOps provides a unified management approach for public, private, or hybrid cloud infrastructures, easing workload migration without concerns about intricate data movements across networks. This enhances observability, facilitating seamless data management across different storage, networks, and applications.

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What are some AIOps use cases?

AIOps combines machine learning, big data, and analytics. It helps your IT and operational teams to support digital transformation initiatives.

Application performance monitoring (APM)

Modern applications use complex software technologies to run and scale across the cloud environment. It's challenging to gather metrics with traditional methods from modern scenarios—like data exchanges between components like microservices, APIs, and data storages.

Instead, software teams adopt AI for application performance monitoring to gather and compile relevant metrics at scale.

Root cause analysis

AI/ML technologies are efficient in helping you determine the root cause of an incident. They rapidly process big data and correlate between multiple probable causes. By adopting AIOps, your organization can investigate beyond symptoms or alerts to the true causes impacting system performance.

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Anomaly detection

Anomalies are outliers deviating from the standard distribution of monitored data. They often indicate abnormal behaviors that affect system operations. AIOps provides real-time assessment and predictive capabilities to quickly detect data deviations and accelerate corrective actions.

With AIOps, your IT teams reduce dependencies on system alerts when managing incidents. It also allows your IT teams to set rule-based policies that automate remediation actions.

Cloud automation and optimization

AIOps solutions support cloud transformation by providing transparency, observability, and automation for workloads. Deploying and managing cloud applications requires greater flexibility and agility when managing interdependencies. Organizations use AIOps solutions to provision and scale compute resources as needed.

App development support

DevOps teams use AIOps tools to improve code quality. They can automate code review, apply programming best practices, and detect bugs earlier in the development stages. Rather than delegating quality checks to the end of the development cycle, AIOps tools shift quality checks to the left.

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sudeepkedar · 2 years ago

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AIOps Market: Global Analysis, Opportunities And Forecast To 2032

As per a recent research report, AIOps Market to surpass USD 38 Bn by 2032.

Global Artificial Intelligence in IT Operations (AIOps) Market is slated to grow substantially through 2032, owing to a paradigm shift to cloud solutions by enterprises. The AIOps' stellar demand can be attributed to AI's ability to perform anomaly detection, root cause diagnostics, predictive maintenance, closed-loop issue remediations, and critical functions in complex cloud environments. According to a report, 40% of all business workloads will be transferred to cloud infrastructure and platform services by 2023.

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Besides, key market operators are seeking to gain a better foothold in the AIOps market by expanding their portfolios. To cite an instance, in March 2022, Deloitte introduced its AIOPS.D. As per reports, the AI-based business platform will be able to manage and execute core business processes, which will enable business enterprises to deliver their work effectively.

Overall, the artificial intelligence in IT Operations (AIOps) market is segmented on the basis of component, solution, service, deployment model, enterprise size, application, end user, and region.

Based on the component, the service segment is set to witness massive growth in the next ten years, owing to the increasing adoption of cloud computing, which will support the demand for managed services. Besides, the emergence of PaaS and SaaS will also contribute to the market growth.

In terms of service, the market is likely to be characterized by the managed services segment, which will grow at approximately 29.5% CAGR between 2023 and 2032. Since managed AIOps services help firms eliminate endpoint-generated threats, these are being increasingly adopted by organisations, fueling the market demand through the coming years.

On the basis of the deployment model, the on-premise segment will grow significantly through 2032. As AIOps can be controlled and managed on the premise and carried out by in-house resources, this allows organizations to customize their solutions, which will result in the segmental expansion.

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In the context of enterprise size, the SMEs segment is set to register solid growth over the next decade, as the leading SMEs that are operating in the market are increasingly offering their services and solutions to market leaders. Besides, the SMEs which were established in the cloud and need to create and deploy software, are also adopting AIOps to improve their digital services.

AIOPs is expected to foresee extensive application for application performance management across different enterprises. The technology leverages artificial intelligence to make IT operations management easy and automate problem resolution in highly complex modern-day IT environments.

In the regional context, the AIOps market will grow significantly in North America, where it held 42% market share in 2022. More enterprises are focusing on monitoring tools to cater to the increasing demand for data capture, and this trend will continue to bolster the regional market through 2032. In addition, the growing prominence of leading industry giants in the continent would further stimulate the market scenario in the coming years.

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Global Market Insights, Inc., headquartered in Delaware, U.S., is a global market research and consulting service provider; offering syndicated and custom research reports along with growth consulting services. Our business intelligence and industry research reports offer clients with penetrative insights and actionable market data specially designed and presented to aid strategic decision making. These exhaustive reports are designed via a proprietary research methodology and are available for key industries such as chemicals, advanced materials, technology, renewable energy and biotechnology.

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ict-marketresearch-reports · 3 years ago

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AIOps Platform Market Share, Growth Prospects and Key Opportunities by 2023

The report "AIOps Platform Market Growth by Component, Service (Implementation, Consulting, and Managed Services), Application (Real-time Analytics, Infrastructure Management, and Application Performance Management), Vertical, and Region - Global Forecast to 2023", The global AIOps platform market size is expected to grow from USD 2.55 billion in 2018 to USD 11.02 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 34.0% during the forecast period (2018–2023). The major growth for the market include the growing demand of AI-based services in IT operations, increasing shift of organizations core business toward the cloud, and increasing investments in the AIOps technology. In addition, exponentially growing data volumes and increasing end-to-end business application assurance and uptime are some of the other growth factors for the market.

The infrastructure management is expected to be the fastest-growing application in the AIOps platform market during the forecast period

In the digitalization era, the capacity to have flexible and dynamic IT infrastructure is mandatory. Ability to foresee and provision for future infrastructure requirement is a necessity. AIOps platforms track and manage cloud costs across multicloud infrastructure with end-to-end visibility. The platform also simulates migrations and helps deploy the right resources at the right price point. Infrastructure management helps optimize resource usage and reveals unused services. The platform aligns cloud expenses with business needs, customized views, and resource costs.

The managed service segment is expected to hold the largest market size in the AIOps platform market during the forecast period

Managed services offerings have been evolved owing to new technological advancements, such as AIOps applications which allow IT professionals to operate beyond the usual specialized scenarios and expand into today’s more complex and heterogeneous business environments. These services refer to the outsourcing of in-house functionalities, so that they can be managed by third-party Managed Service Providers (MSPs). Managed services include consulting, integration, and maintenance of deployed solutions. An MSP is a third-party contractor who delivers network-based services, applications, and equipment to enterprises, residences, and other service providers.

North America is expected to have the largest market share in the AIOps platform market during the forecast period

North America is expected to have the largest market size in the global AIOps platform market. The adoption of AI-powered services is expected to grow in the region, owing to the growing demand for analyzing large volumes of data to enhance the consumer experience. Furthermore, technological advancements, coupled with the increasing need for intelligent business processes and rising adoption of digital technologies across the region, are expected to fuel the growth of the global AIOps platform market. The increasing number of initiatives by governments for enhancing the existing infrastructure is expected to drive the demand for AIOps platforms across the region during the forecast period. For instance, the report “Artificial Intelligence, Automation, and the Economy,” published in December 2016 by the US government, describes various developments, such as long-term investments in AI, focused approach toward analyzing and solving social implications of AI, and security and safety of AI systems, to boost the adoption of AI-powered solutions across the country.

Major vendors in the global AIOps platform market include IBM (US), Micro Focus (US), CA Technologies (US), BMC Software (US), MoogSoft (US), and Splunk (US).

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#AIOps Platform Market Growth

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market-insider · 3 years ago

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Artificial Intelligence For IT Operations (Aiops) Platform Has Emerged As A Way For IT Operations Teams

The global artificial intelligence for IT operations platform market size is expected to reach USD 33.82 billion by 2030, registering a CAGR of 17.7%, according to a new report by Grand View Research, Inc. Rapid digital transformations in global business organizations have brought about increasingly complex datasets. Businesses spend a significant amount of time, cost, and effort 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, the artificial intelligence for IT operations (AIOps) platform 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. For instance, in March 2022, HCL Technologies, a leading global technology company, announced a center of excellence in collaboration with IBM. This Center of Excellence will assist CSPs in modernizing their network infrastructure, simplifying operations, and transforming service delivery.

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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 the 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, security teams can benefit from AIOps for cybersecurity, where they can gain data security visibility and intelligence. These devices can perform various vital tasks, such as surveillance, threat response, and engagement.

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. For instance, in February 2022, Deloitte, a consulting and advisory services company, has announced the launch of AIOPS.D. This "AI-fueled, plug-and-play modular" micro-services platform automates business functions such as procurement, supply chain, and finance.

#Artificial Intelligence For IT Operations Platform Market Size & Share #Artificial Intelligence For IT Operations Platform Market Latest Trends #Artificial Intelligence For IT Operations Platform Market Growth Forecast #COVID-19 Impacts On Artificial Intelligence For IT Operations Platform Market #Artificial Intelligence For IT Operations Platform Market Revenue Value

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bloomberg-a · 3 years ago

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AIOps Market Latest Trends and Regional Demand Prospects to 2027

The Global AIOps market value will surpass USD 10 billion by 2027. With the introduction of cutting-edge technologies like AI and machine learning, end-users can solve customer queries promptly, without causing too much delay in the process. AIOps analyzes the algorithms of Observability telemetry and IT data with the help of artificial intelligence, natural language processing (NLP), and machine learning.

Global AIOps market share will grow at a commendable rate with rising adoption of AI-powered technologies in a wide range of business processes. Digitization has significantly impacted the way companies carry out their daily operations.

Since the applications allow DevOps, IT Ops, and SRE teams to detect and resolve several digital service issues much faster, it can not only positively impact their productivity but also expand their customer base. According to some surveys, around 45% of companies are using AIOps to get better insights into the root cause of issues and enhance their potential problem prediction capabilities.

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Cloud deployment model widely used to implement AIOps solutions:

Global AIOps market size from cloud deployment model will register an impressive growth rate over the coming years. A rising percentage of large-scale organizations are switching to virtual networking platforms to store their data files and conduct their day-to-day business operations.

Cloud deployment models can help companies store a wide variety of data files in an organized manner, without compromising on their problem-solving capabilities. Some of these files include code commits, version control systems, CI/CD operations, application logs, infrastructure & inventory, and test automation systems.

For example, IBM’s Cloud Pak for Watson AIOps helps firms organize separate data sources methodically. The integrated management platform uses different AI technologies to predict and identify certain events proactively as well as reactively. This model also enables the smooth transition from traditional to smart IT operations.

Demand for network & security management application rises:

Network & security management application will capture a major share of global AIOps industry. Cybersecurity issues are growing at a worrying pace because illegal hackers are upgrading their techniques to break into complex IT security infrastructures.

According to the Crimes in India 2020 report published by the National Crime Records Bureau (NCRB), 50,035 cybercrime cases were registered in the country in 2020, a 12% rise from the previous year. This scenario has prompted companies to strengthen their IT network and security by employing AIOps solutions.

AIOps platforms use the collected streaming network telemetry data to discover and classify devices. This gives them the opportunity to assess the communication between all the wireless, wired, and IoT devices, helping them easily identify malicious activities.

Browse report summary @ https://www.gminsights.com/industry-analysis/aiops-market

Asia Pacific AIOps market outlook remains positive:

Asia Pacific AIOps market size is set to expand at a robust pace because many MNCs are outsourcing their non-core IT functions to these countries. The region’s IT infrastructure is undergoing major changes to accommodate the rising data load and equip employees with resources that can help them efficiently resolve all customer queries.

AI technologies are receiving immense support from regional governments, with authorities encouraging companies to incorporate smart technologies in their daily operations. For instance, in Leading IT firms in India, Wipro and TCS, have confirmed that they would be working at the new innovation center of IBM in the country, to advance AI technology. The solutions focused here would include AIOps and its integration for businesses.

Global AIOps market will grow at a notable pace due to the rising popularity of smart technologies in IT processes. CA Technologies, Broadcom, Inc., BMC Software Inc., Cisco Systems, Inc., IBM Corporation, Splunk, Inc., and New Relic, Inc., among many others, are the reputed industry participants. Healthcare, retail and BFSI are some of the emerging end-user sectors for the technology.

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pressnewshour · 3 years ago

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AIOps Market Analysis By Growth, Emerging Trends And Future Opportunities Till 2030

The global AIOps market is estimated to grow at a CAGR of ~30% over the forecast period, i.e., 2022-2030. The market is bifurcated on the basis of deployment type into on-premise, and cloud-based, out of which the cloud-based segment in estimated to gain the largest market share during the forecast period, owing to the increasing penetration of cloud-computing technology amongst the various end-user sectors on a global level. As of 2019, more than 80% of all enterprises across the globe were using multi-cloud strategy.

On the basis of vertical, the market is segmented into telecom & IT, BFSI, healthcare and others. Among these, the telecom & IT segment is anticipated to hold the largest share throughout the forecast period, on the back of early adoption of advanced technology in the IT sector, along with the increasing share of IT sector in the global GDP. The global IT industry touched the mark of USD 5 trillion in terms of revenue, in 2020.

Research Nester published a report titled "AIOps Market: Global Demand Analysis & Opportunity Outlook 2030" which delivers detailed overview of the global AIOps market in terms of market segmentation by components, deployment type, application, vertical, and by region.

Further, for the in-depth analysis, the report encompasses the industry growth indicators, restraints, supply and demand risk, along with detailed discussion on current and future market trends that are associated with the growth of the market.

The global AIOps market is estimated to grow on the back of increasing penetration of artificial intelligence technology, along with the growing adoption of advanced technologies, such as IoT and cloud-computing. Moreover, the advantages offered by AIOps over DevOps, such as higher accuracy, and reduction of false positives, are estimated to boost the market growth over the years. Furthermore, frequent launches of new technologies, and product pipeline is another major factor projected to fuel the market growth.

Regionally, the global AIOps market is segmented into five major regions including North America, Europe, Asia Pacific, Latin America and Middle East & Africa region. Among these regions, the market in the Asia Pacific region is anticipated to grow with the highest CAGR over the forecast period on account of increasing technological development in the developing countries, including Japan, China, and India. The market in the North America region is estimated to hold the largest market share over the forecast period on the back of growing IT industry along with highest penetration of advanced technologies in the region.

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Advantages of Using Artificial Intelligence to boost the Market Growth

More than 9 out of 10 businesses are expected to invest in artificial intelligence to raise their productivity.

With the increasing penetration of artificial intelligence amongst the various end-user industries, systems are becoming more complicated with increasing data volume, which is why, AI based platforms are deployed for accurate data outcomes. Moreover, advantages of AIOps platforms, such as, data output, analytics, aggregation, automation, and flexible and centralized multi-layered platform, are expected to boost the market growth.

However, new and advanced technologies and lack of skilled workers are expected to operate as key restraint to the growth of the market over the forecast period.

This report also provides the existing competitive scenario of some of the key players of the global AIOps market which includes company profiling of IBM, CA Technologies (Broadcom Inc.), Micro Focus International plc, BMC Software, Inc., Dell Inc., Splunk Inc., HCL Technologies Limited, AppDynamics, Moogsoft Inc., and Correlsense. The profiling enfolds key information of the companies which encompasses business overview, products and services, key financials and recent news and developments. On the whole, the report depicts detailed overview of the global AIOps market that will help industry consultants, equipment manufacturers, existing players searching for expansion opportunities, new players searching possibilities and other stakeholders to align their market centric strategies according to the ongoing and expected trends in the future.

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market-researcher · 4 years ago

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Global AIOps Market to Witness a CAGR of ~30% during 2022-2030

Research Nester published a report titled “AIOps Market: Global Demand Analysis & Opportunity Outlook 2030” which delivers detailed overview of the global AIOps market in terms of market segmentation by components, deployment type, application, vertical, and by region.

Further, for the in-depth analysis, the report encompasses the industry growth indicators, restraints, supply and demand risk, along with detailed discussion on current and future market trends that are associated with the growth of the market.

The global AIOps market is estimated to grow at a CAGR of ~30% over the forecast period, i.e., 2022–2030. The market is bifurcated on the basis of deployment type into on-premise, and cloud-based, out of which the cloud-based segment in estimated to gain the largest market share during the forecast period, owing to the increasing penetration of cloud-computing technology amongst the various end-user sectors on a global level. As of 2019, more than 80% of all enterprises across the globe were using multi-cloud strategy. On the basis of vertical, the market is segmented into telecom & IT, BFSI, healthcare and others. Among these, the telecom & IT segment is anticipated to hold the largest share throughout the forecast period, on the back of early adoption of advanced technology in the IT sector, along with the increasing share of IT sector in the global GDP. The global IT industry touched the mark of USD 5 trillion in terms of revenue, in 2020.