#Artificial Intelligence for IT Operations (AIOps) Platform Market Size

[dhirajmarketresearch]

[cybersecurityict]

Application Performance Monitoring Market Size, Share, Analysis, Forecast, and Growth Trends to 2032: Challenges and Opportunities in Implementation

The Application Performance Monitoring Market was valued at USD 7.26 Billion in 2023 and is expected to reach USD 22.81 Billion by 2032, growing at a CAGR of 34.61% over the forecast period 2024-2032.

The Application Performance Monitoring (APM) market is experiencing a transformative surge, driven by increasing demand for seamless digital experiences and proactive IT infrastructure management. Enterprises across industries are embracing APM solutions to ensure optimal application performance, reduce downtime, and elevate user satisfaction. The shift towards digital transformation, cloud-native applications, and complex IT environments has magnified the role of APM tools in detecting and resolving performance bottlenecks in real time.

Application Performance Monitoring Market fueled by advancements in artificial intelligence and machine learning, the APM industry is moving beyond traditional monitoring to predictive and automated performance optimization. Modern APM solutions are now capable of tracing microservices, monitoring serverless functions, and providing full-stack visibility, enabling IT teams to swiftly pinpoint issues before they impact users. With increasing reliance on DevOps, CI/CD pipelines, and distributed architectures, businesses are prioritizing APM to maintain competitiveness and reliability in digital services.

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Market Keyplayers:

IBM (IBM Instana, IBM APM)

New Relic (New Relic One, New Relic Browser)

Dynatrace (Dynatrace Full-Stack Monitoring, Dynatrace Application Security)

AppDynamics (AppDynamics APM, AppDynamics Database Monitoring)

Cisco (Cisco AppDynamics, Cisco ACI Analytics)

Splunk Inc. (Splunk Observability Cloud, Splunk IT Service Intelligence)

Micro Focus (Silk Central, LoadRunner)

Broadcom Inc. (CA APM, CA Application Delivery Analysis)

Elastic Search B.V. (Elastic APM, Elastic Stack)

Datadog (Datadog APM, Datadog Real User Monitoring)

Riverbed Technology (SteelCentral APM, SteelHead)

SolarWinds (SolarWinds APM, SolarWinds Network Performance Monitor)

Oracle (Oracle Management Cloud, Oracle Cloud Infrastructure APM)

ServiceNow (ServiceNow APM, ServiceNow Performance Analytics)

Red Hat (Red Hat OpenShift Monitoring, Red Hat Insights)

AppOptics (AppOptics APM, AppOptics Infrastructure Monitoring)

Honeycomb (Honeycomb APM, Honeycomb Distributed Tracing)

Instana (Instana APM, Instana Real User Monitoring)

Scout APM (Scout APM, Scout Error Tracking)

Sentry (Sentry APM, Sentry Error Tracking)

Market Analysis The current landscape of the APM market reveals strong momentum, driven by growing enterprise investments in digital operations. North America leads adoption due to the presence of tech giants and innovation-driven enterprises, while Asia-Pacific is emerging rapidly, boosted by its expanding tech ecosystem. The market is dominated by key players offering comprehensive APM suites, including capabilities like end-user monitoring, application discovery, and dynamic baseline setting. Competition is intensifying as vendors integrate AIOps and observability features into their platforms.

Market Trends

Rising adoption of multi-cloud and hybrid cloud strategies

Surge in demand for real-time analytics and automation

Integration of APM with security and observability tools

Increasing focus on user experience monitoring (UEM)

Growing adoption of open-source APM tools among SMEs

Emphasis on lightweight, agentless monitoring approaches

Market Scope The scope of the APM market spans a broad range of industries, technologies, and deployment models. Its relevance is expanding as businesses rely heavily on application uptime and responsiveness to ensure customer satisfaction and brand reputation.

Covers full-stack monitoring from backend infrastructure to frontend UX

Serves key sectors: BFSI, healthcare, IT & telecom, retail, and e-commerce

Applicable across legacy, containerized, and serverless environments

Cloud-native platforms expanding scope for SaaS and PaaS applications

Scalability suited for both SMEs and large enterprises

Market Forecast The future of the APM market is poised for strategic evolution as demand for predictive intelligence and autonomous remediation grows. With continuous integration of AI, cloud scalability, and edge computing capabilities, APM tools will redefine how businesses ensure digital performance. The market is expected to see sustained momentum as organizations worldwide focus on enhancing customer experiences through uninterrupted and responsive applications. Innovations will shape next-generation APM tools that proactively manage performance across increasingly complex IT ecosystems.

Access Complete Report: https://www.snsinsider.com/reports/application-performance-monitoring-market-3821 

Conclusion As the digital age accelerates, the Application Performance Monitoring market stands as a cornerstone of modern IT strategy. Its growing adoption is not just a trend but a necessity for businesses aiming to deliver flawless digital interactions. With dynamic capabilities evolving in real-time, APM is no longer just about monitoring—it's about empowering businesses with visibility, agility, and intelligence. Embracing these innovations today ensures success in tomorrow’s hyper-connected landscape.

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North America AIOps Platform Market Statistics, Trends, Size, Share, Regional Analysis by Key Players

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.

The Ascendance of AIOps: Navigating IT Complexity in the Era of Elasticity

The digital landscape has undergone a seismic shift, characterized by dynamic, elastic IT environments that defy traditional management paradigms. Gone are the days of static infrastructure and predictable workloads. Today's organizations operate in a realm of constant change, where applications scale instantaneously, and infrastructure resources fluctuate based on real-time demand. This dynamism, while offering immense agility and scalability, has introduced unprecedented levels of complexity, rendering traditional IT Operations (ITOps) methodologies obsolete.

The core challenge lies in the sheer volume and velocity of data generated within these elastic environments. Manual monitoring, offline analysis, and human intervention, once the cornerstones of ITOps, are simply inadequate to keep pace with the relentless flow of information. The scale of modern IT infrastructure has long surpassed human capacity, and the situation continues to escalate. Organizations are grappling with the imperative to ensure the availability and performance of critical applications while simultaneously striving for a highly automated setup that empowers data-driven decision-making for new product development.

This confluence of demands has catalyzed the emergence of Artificial Intelligence for IT Operations (AIOps) platforms. These platforms represent a paradigm shift in ITOps, leveraging the power of artificial intelligence (AI) and machine learning (ML) to automate and optimize IT operations in real-time. By consolidating data from diverse applications and infrastructure components into a unified management portal with a comprehensive dashboard view, AIOps provides a holistic understanding of the IT environment.

The transformative potential of AIOps is underscored by studies suggesting that these platforms can automate up to 90% of operational tasks, reducing the reliance on human intervention to a mere 10%. This dramatic reduction in manual effort frees up valuable IT resources to focus on strategic initiatives, such as innovation and business growth. The exponential growth of digital data, coupled with the premium support offered by AIOps platforms, is propelling the AIOps market forward, signaling a fundamental shift in how organizations manage their IT infrastructure.

Market Dynamics and Future Outlook:

The North America AIOps platform market is expected to continue its strong growth trajectory, driven by the increasing adoption of cloud computing, the growing complexity of IT infrastructure, and the need for automated, intelligent operations. The market is characterized by intense competition and continuous innovation, with vendors constantly enhancing their product offerings and expanding their capabilities. The future of AIOps is bright, with the potential to transform IT operations and enable organizations to achieve greater efficiency, agility, and resilience.

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: 𝐬𝐭𝐞𝐩𝐡𝐞𝐧 𝐣𝐨𝐡𝐧𝐬𝐨𝐧 𝐒𝐞𝐧𝐢𝐨𝐫 𝐌𝐚𝐫𝐤𝐞𝐭 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐄𝐱𝐩𝐞𝐫𝐭

[valiantwitchfestival]

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.

📚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.

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

[sassygardenerstudent]

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

[nerdyloverperfection]

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

[industrynewsupdates]

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.

[snsinsiderreport]

The Evolution and Impact of the Web Content Filtering Market and Artificial Intelligence for IT Operations Platform Market

In today's rapidly evolving digital landscape, two markets have garnered significant attention: the Web Content Filtering Market and the Artificial Intelligence for IT Operations (AIOps) Platform Market. These two sectors are pivotal in shaping how businesses manage and secure their digital operations. This article delves into the nuances of these markets, exploring their growth, key players, technological advancements, and future trends.

1. Introduction to Web Content Filtering

What is Web Content Filtering?

Web content filtering is a crucial aspect of internet security, involving the control of what content is accessible over the internet within a particular network. It helps organizations prevent access to harmful or inappropriate websites, thus safeguarding employees and data.

Importance of Web Content Filtering

The importance of web content filtering cannot be overstated. It helps protect against malware, phishing attacks, and other cyber threats. Additionally, it ensures compliance with legal and regulatory standards, improves productivity by blocking distracting websites, and maintains a company's reputation by preventing access to inappropriate content.

2. Market Overview of Web Content Filtering

Current Market Size and Growth

The web content filtering market has experienced substantial growth over the past decade. As of 2023, it is valued at approximately $6 billion and is expected to grow at a CAGR of 14.8% from 2023 to 2028. This growth is driven by increasing cyber threats, the proliferation of internet usage, and stringent regulatory requirements.

Key Players in the Web Content Filtering Market

Several key players dominate the web content filtering market. These include:

Cisco: Known for its robust security solutions, Cisco offers comprehensive web content filtering services.

McAfee: A leader in cybersecurity, McAfee provides advanced web filtering solutions to protect against various threats.

Symantec: Now a part of Broadcom, Symantec offers powerful web filtering tools integrated with its broader cybersecurity suite.

Forcepoint: Specializes in data protection and cybersecurity, including web content filtering.

Webroot: Provides cloud-based web filtering solutions that are easy to deploy and manage.

Technological Advancements in Web Content Filtering

The web content filtering market has seen significant technological advancements, such as:

AI and Machine Learning: AI-driven algorithms enhance the accuracy of filtering by continuously learning from new threats and user behaviors.

Cloud-Based Solutions: Cloud-based filtering offers scalability, easier management, and real-time updates.

Integration with Other Security Tools: Modern web content filtering solutions are often integrated with broader cybersecurity frameworks, providing comprehensive protection.

3. Challenges in the Web Content Filtering Market

Evolving Cyber Threats

As cyber threats become more sophisticated, web content filtering solutions must continuously evolve to keep up. This requires constant updates and the incorporation of advanced technologies like AI.

User Privacy Concerns

Balancing effective content filtering with user privacy is a significant challenge. Companies must ensure that their filtering practices comply with privacy laws and do not infringe on users' rights.

Implementation and Management

Implementing and managing web content filtering solutions can be complex, especially for large organizations with diverse networks and numerous endpoints.

4. Future Trends in Web Content Filtering

Increased Use of AI and Machine Learning

AI and machine learning will play an increasingly important role in web content filtering. These technologies will enhance the accuracy and efficiency of filtering processes, enabling quicker responses to emerging threats.

Greater Emphasis on User Privacy

As privacy concerns continue to grow, future web content filtering solutions will need to strike a better balance between security and privacy. This could involve more transparent filtering practices and greater user control over what is filtered.

Integration with Comprehensive Security Frameworks

Web content filtering will increasingly be part of integrated security solutions that offer comprehensive protection against a range of cyber threats. This holistic approach will provide better overall security for organizations.

5. Introduction to AIOps Platforms

What are AIOps Platforms?

AIOps platforms use artificial intelligence to enhance IT operations. They analyze large volumes of data from various IT operations tools and devices to automatically identify and resolve IT issues. This helps improve the efficiency and reliability of IT operations.

Importance of AIOps Platforms

AIOps platforms are essential for modern IT operations due to their ability to handle the complexity and scale of today's IT environments. They help reduce downtime, improve performance, and enhance the overall user experience.

6. Market Overview of AIOps Platforms

Current Market Size and Growth

The AIOps platform market is also experiencing rapid growth. As of 2023, it is valued at approximately $2.5 billion and is expected to grow at a CAGR of 25% from 2023 to 2028. This growth is driven by the increasing complexity of IT environments and the need for more efficient and reliable IT operations.

Key Players in the AIOps Platform Market

Key players in the AIOps platform market include:

Splunk: Offers a comprehensive AIOps platform that provides visibility across the entire IT environment.

Moogsoft: Specializes in AI-driven IT incident management and analytics.

IBM: Provides a powerful AIOps platform that leverages its expertise in AI and cloud computing.

Dynatrace: Offers an AI-driven platform for monitoring and managing IT operations.

AppDynamics: Now part of Cisco, AppDynamics provides a robust AIOps platform focused on application performance management.

Technological Advancements in AIOps Platforms

Technological advancements driving the AIOps platform market include:

Advanced Analytics: Improved data analytics capabilities allow for more accurate identification and resolution of IT issues.

Automation: Enhanced automation capabilities reduce the need for manual intervention, improving efficiency and reliability.

Integration with Other IT Tools: Modern AIOps platforms integrate with a wide range of IT tools, providing a more comprehensive view of IT operations.

7. Challenges in the AIOps Platform Market

Data Complexity and Volume

Handling the sheer volume and complexity of data generated by modern IT environments is a significant challenge for AIOps platforms. Effective data management and analysis are crucial for the success of these platforms.

Integration with Existing Systems

Integrating AIOps platforms with existing IT systems can be complex and time-consuming. Ensuring seamless integration is essential for maximizing the benefits of these platforms.

Skill Gaps

The successful implementation of AIOps platforms requires specialized skills. There is a growing need for IT professionals with expertise in AI, data analytics, and IT operations.

8. Future Trends in the AIOps Platform Market

Enhanced AI Capabilities

As AI technology continues to advance, AIOps platforms will become even more powerful. Enhanced AI capabilities will allow for more accurate predictions, faster issue resolution, and improved overall performance.

Greater Automation

Future AIOps platforms will feature even greater levels of automation, reducing the need for manual intervention and allowing IT teams to focus on more strategic tasks.

Broader Integration

AIOps platforms will increasingly integrate with a wider range of IT tools and systems, providing a more comprehensive view of IT operations and enabling better decision-making.

9. The Intersection of Web Content Filtering and AIOps

Synergies Between the Two Markets

There are significant synergies between the web content filtering and AIOps platform markets. Both markets focus on improving security, efficiency, and reliability in the digital landscape. Integrating web content filtering with AIOps platforms can enhance overall IT security and operations.

Combined Benefits for Organizations

Organizations that leverage both web content filtering and AIOps platforms can achieve enhanced security and operational efficiency. Web content filtering protects against cyber threats, while AIOps platforms ensure reliable and efficient IT operations.

Future Opportunities

The convergence of these two markets presents future opportunities for innovation and growth. As organizations continue to adopt digital transformation strategies, the integration of web content filtering and AIOps platforms will become increasingly important.

10. Conclusion

In conclusion, the Web Content Filtering Market and the Artificial Intelligence for IT Operations Platform Market are both critical components of modern digital security and operations. As cyber threats evolve and IT environments become more complex, the demand for advanced web content filtering and AIOps solutions will continue to grow. Organizations that invest in these technologies will be better positioned to protect their digital assets, ensure compliance, and improve operational efficiency. The future holds exciting opportunities for these markets, driven by technological advancements and the increasing importance of digital security and reliability.

[truptirkharabe]

Harnessing AI for IT Operations: Revolutionizing Efficiency and Reliability

In the dynamic landscape of IT operations, where businesses rely heavily on seamless functioning and optimal performance, Artificial Intelligence (AI) is emerging as a transformative force. AI for IT Operations (AIOps) platforms are revolutionizing how enterprises manage, monitor, and optimize their IT environments. Let's delve into how this technology is reshaping the IT Operations platform market and what it means for businesses worldwide.

𝐆𝐞𝐭 𝐅𝐫𝐞𝐞 𝐏𝐃𝐅 𝐒𝐚𝐦𝐩𝐥𝐞 𝐂𝐨𝐩𝐲 𝐨𝐟 𝐑𝐞𝐩𝐨𝐫𝐭 (𝐈𝐧𝐜𝐥𝐮𝐝𝐢𝐧𝐠 𝐅𝐮𝐥𝐥 𝐓𝐎𝐂, 𝐋𝐢𝐬𝐭 𝐨𝐟 𝐓𝐚𝐛𝐥𝐞𝐬 & 𝐅𝐢𝐠𝐮𝐫𝐞𝐬, 𝐂𝐡𝐚𝐫𝐭)@ https://www.infinitivedataexpert.com/industry-report/artificial-intelligence-for-it-operations-platform-market#sample

The Rise of AIOps Platforms

Traditional IT operations management often involves manual processes, reactive issue resolution, and siloed data analysis. This approach can lead to inefficiencies, delays in problem resolution, and missed opportunities for proactive management. AIOps platforms, powered by AI and machine learning (ML), bring a paradigm shift by automating and enhancing various aspects of IT operations:

Automated Monitoring and Analysis: AIOps platforms aggregate and analyze vast amounts of data from disparate sources in real-time. By leveraging ML algorithms, these platforms can detect anomalies, identify patterns, and predict potential issues before they impact operations.

Root Cause Analysis: One of the significant challenges in IT operations is identifying the root cause of problems amidst complex and interconnected systems. AIOps platforms use advanced analytics to trace issues back to their origin, facilitating quicker resolution and minimizing downtime.

Predictive Insights: By analyzing historical data and real-time metrics, AIOps platforms can provide predictive insights into future performance trends and potential bottlenecks. This proactive approach enables IT teams to preemptively address issues and optimize resource allocation.

Automation of Routine Tasks: Routine IT tasks such as system monitoring, log management, and incident response can be automated through AI-driven workflows. This automation not only reduces manual effort but also frees up IT personnel to focus on more strategic initiatives.

List of Major Market Participants - IBM Corporation, Sumo Logic Inc., Splunk Inc., Evolven Software, AppDynamics (Cisco), ScienceLogic Inc., Broadcom Inc., Zenoss Inc., New Relic Inc., LogicMonitor Inc., Resolve Systems LLC, OpsRamp Inc., Ayehu Software Technologies Ltd., Loom Systems, BigPanda Inc., Dynatrace LLC, CloudFabrix Software Inc., Micro Focus International, Moogsoft Inc., Nexthink S.A.

𝐆𝐞𝐭 𝐅𝐫𝐞𝐞 𝐏𝐃𝐅 𝐒𝐚𝐦𝐩𝐥𝐞 𝐑𝐞𝐩𝐨𝐫𝐭@ https://www.infinitivedataexpert.com/industry-report/artificial-intelligence-for-it-operations-platform-market#sample

Market Segment:

Global Artificial Intelligence for IT Operations Platform Market, By Offering - Platform, Service Global Artificial Intelligence for IT Operations Platform market, By Application - Infrastructure Management, Application Performance Analysis, Real-Time Analytics, Network & Security Management, Others

Market Dynamics and Adoption

The AI for IT Operations platform market is experiencing rapid growth, driven by the increasing complexity of IT environments, the growing volume of data generated, and the demand for operational efficiency. Key factors contributing to the adoption of AIOps platforms include:

Scalability: AIOps platforms can scale to accommodate large and diverse IT infrastructures, making them suitable for enterprises of all sizes.

Integration Capabilities: These platforms integrate seamlessly with existing IT tools and infrastructure, ensuring compatibility and minimal disruption during deployment.

Cost Savings: By streamlining operations, reducing downtime, and optimizing resource utilization, AIOps platforms deliver significant cost savings over time.

Future Outlook

Looking ahead, the future of AIOps holds immense promise. As AI and ML technologies continue to evolve, AIOps platforms will become more sophisticated, capable of handling even greater volumes of data and providing deeper insights. Key trends shaping the future of AIOps include:

Enhanced Cognitive Capabilities: AI algorithms will become more adept at learning from data and making complex decisions autonomously.

Expanded Use Cases: Beyond traditional IT operations, AIOps will find applications in cybersecurity, customer experience management, and more.

Ethical Considerations: As AI adoption grows, addressing ethical concerns such as data privacy, bias mitigation, and algorithmic transparency will become increasingly important.

𝐆𝐞𝐭 𝐅𝐫𝐞𝐞 𝐏𝐃𝐅 𝐒𝐚𝐦𝐩𝐥𝐞 𝐂𝐨𝐩𝐲 𝐨𝐟 𝐑𝐞𝐩𝐨𝐫𝐭 (𝐈𝐧𝐜𝐥𝐮𝐝𝐢𝐧𝐠 𝐅𝐮𝐥𝐥 𝐓𝐎𝐂, 𝐋𝐢𝐬𝐭 𝐨𝐟 𝐓𝐚𝐛𝐥𝐞𝐬 & 𝐅𝐢𝐠𝐮𝐫𝐞𝐬, 𝐂𝐡𝐚𝐫𝐭)@ https://www.infinitivedataexpert.com/industry-report/artificial-intelligence-for-it-operations-platform-market#sample

In conclusion, AI for IT Operations platforms are not just a technological advancement but a strategic imperative for modern businesses seeking to stay competitive in a digitally-driven world. By harnessing the power of AI, organizations can achieve greater operational efficiency, improve reliability, and deliver enhanced user experiences. As the market continues to evolve, embracing AIOps will undoubtedly be a pivotal decision for businesses looking to thrive in the digital age.

For enterprises considering adopting AIOps, staying informed about industry trends, evaluating vendor capabilities, and planning for seamless integration are essential steps towards leveraging this transformative technology effectively. As we move forward, the synergy between AI and IT operations will continue to drive innovation and redefine the future of enterprise IT management.

[research-reports-blogs]

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 2022-2032.

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.

[rohitpalan]

Market Size Expansion: Observability Platform Market Overview (2022-2032)

The adoption of observability platform is expected to register at a CAGR of 8.2% over the forecast period. The observability platform market size is anticipated to rise from US$ 2,173.7 Mn in 2022 to US$ 5,553.2 Mn by 2032.

The observability platform market is expected to grow at an astounding rate in the coming years. The increasing reliance on cloud-based solutions for service virtualization, containerization, and other purposes by various small to large-scale enterprises is serving as a cornerstone for the growth of the observability platform.

On the other hand, emerging trends such as Artificial Intelligence (AI) and Machine Learning (ML) are propelling the market forward. AI and ML process massive amounts of data and assist in menial tasks, allowing IT staff to focus on more specific tasks and learning patterns, anticipating problems, and suggesting solutions.

Ask for In-depth Report Sample.  https://www.futuremarketinsights.com/reports/sample/rep-gb-15832

Various organizations all over the world are focusing on reducing time and maintaining the software development operation process. DevOps improves developer collaboration and synchronization while decreasing maintenance for the continuous development process.

Furthermore, automated operations are more accurate and effective than manual operations, and they reduce the cost of operation failure, which is propelling the growth of the observability platform market.

Key Takeaways from Market Study

The observability platform market is expected to register at a CAGR of 8.2% and 18.9% in Latin America and 20.4% in East Asia respectively through 2032

North America is likely to dominate the market with a share of 32.9% owing to. increased market acceptance of software automation tools used to generate successful outcomes in industries

European observability platform market is expected to be valued at US$ 115.7 Mn holding 30.7% share in 2022 and it is expected to register with CAGR of 4.2% over the forecast period.

The observability segment in solutions leads the observability platform market with a share of 56.0% in 2021 as a result of widespread acceptance of these solutions by industries such as finance, manufacturing and resources and infrastructure

The public sector in the industry segment is predicted to have the highest growth rate of 18.1%. Public sector operations include a wide range of regular and irregular activities and transactions carried out by employees, customers, and third-party vendors.

An observability platform for IT administrators and DevOps teams based in Bengaluru and California. LOGIQ has raised $1.8 million in its first seed round, led by New Delhi-based venture capital firm Leo Capital.

Ask an Analyst: https://www.futuremarketinsights.com/ask-question/rep-gb-15832

Competitive Landscape

Due to the presence of key players such as IBM, HCL, Tech Mahindra, and Broadcom Inc., among others, the competitive rivalry among market participants is high. Their ability to constantly innovate their products and services has given them a competitive advantage over other market players. Strategic partnerships, mergers and acquisitions, and R&D activities can help these companies expand their market footprint.

Key Players in the Observability Platform Market

Dynatrace

ScienceLogic SL1

LogicMonitor

Auvik

New Relic

GitLab

AppDynamics

SolarWinds AppOptics

Splunk IT Service Intelligence (ITSI)

Datadog

Sumo Logic

Latest Developments in the Observability Platform Market

August 2020- Rackspace Technology released Rackspace Fabric, which now includes the Moogsoft AIOps Platform and thus applies artificial intelligence (AI) and machine learning (ML) to log, metric, trace, and alert data to assist in the resolution of IT incidents faster and more effectively. Rackspace Fabric integration means that Rackspace customers will benefit from increased uptime and fewer incident alerts by utilising machine learning to solve IT problems.

October 2020- Splunk Inc. announced enhancements to its IT Operations portfolio, including the launch of Splunk Service Intelligence for SAP solutions, a new version of Splunk IT Service Intelligence (ITSI), Splunk Infrastructure Monitoring Add-On, and Splunk IT Essentials. Customers can embrace the cloud-driven transformation with Splunk’s advanced IT solutions, regardless of where they are in their IT modernization journey.

Request Methodology: https://www.futuremarketinsights.com/request-report-methodology/rep-gb-15832

Key Segments Covered in the Observability Platform Market Report

By Solution:

Observability

Services

By Enterprise Size:

Small Offices

Small Enterprises

Medium-Sized Enterprises

Large Enterprise

Very Large Enterprises

By Industry:

Services

Distribution Services

Public Sector

Finance

Manufacturing and Resources

Infrastructure

[sudeepkedar]

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.

Request for Sample Copy report @ https://www.gminsights.com/request-sample/detail/5153        

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.

Request for customization this report @ https://www.gminsights.com/roc/5153

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.

About Global Market Insights:

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.

Contact us:

Aashit Tiwari Corporate Sales, USA Global Market Insights Inc. Toll Free: +1-888-689-0688 USA: +1-302-846-7766 Europe: +44-742-759-8484 APAC: +65-3129-7718 Email: sales@gminsights.com  

[sagarg889]

Observability Platform Market By System Type, End User, Regional Analysis & Forecast 2022-2032

The adoption of observability platform is expected to register at a CAGR of 8.2% over the forecast period. The observability platform market size is anticipated to rise from US$ 2,173.7 Mn in 2022 to US$ 5,553.2 Mn by 2032.

The observability platform market is expected to grow at an astounding rate in the coming years. The increasing reliance on cloud-based solutions for service virtualization, containerization, and other purposes by various small to large-scale enterprises is serving as a cornerstone for the growth of the observability platform.

On the other hand, emerging trends such as Artificial Intelligence (AI) and Machine Learning (ML) are propelling the market forward. AI and ML process massive amounts of data and assist in menial tasks, allowing IT staff to focus on more specific tasks and learning patterns, anticipating problems, and suggesting solutions.

Get a Sample Copy of this Report @ https://www.futuremarketinsights.com/reports/sample/rep-gb-15832

Various organizations all over the world are focusing on reducing time and maintaining the software development operation process. DevOps improves developer collaboration and synchronization while decreasing maintenance for the continuous development process.

Furthermore, automated operations are more accurate and effective than manual operations, and they reduce the cost of operation failure, which is propelling the growth of the observability platform market.

Key Takeaways from Market Study

The observability platform market is expected to register at a CAGR of 8.2% and 18.9% in Latin America and 20.4% in East Asia respectively through 2032

North America is likely to dominate the market with a share of 32.9% owing to. increased market acceptance of software automation tools used to generate successful outcomes in industries

European observability platform market is expected to be valued at US$ 115.7 Mn holding 30.7% share in 2022 and it is expected to register with CAGR of 4.2% over the forecast period.

The observability segment in solutions leads the observability platform market with a share of 56.0% in 2021 as a result of widespread acceptance of these solutions by industries such as finance, manufacturing and resources and infrastructure

The public sector in the industry segment is predicted to have the highest growth rate of 18.1%. Public sector operations include a wide range of regular and irregular activities and transactions carried out by employees, customers, and third-party vendors.

An observability platform for IT administrators and DevOps teams based in Bengaluru and California. LOGIQ has raised $1.8 million in its first seed round, led by New Delhi-based venture capital firm Leo Capital.

Competitive Landscape

Due to the presence of key players such as IBM, HCL, Tech Mahindra, and Broadcom Inc., among others, the competitive rivalry among market participants is high. Their ability to constantly innovate their products and services has given them a competitive advantage over other market players. Strategic partnerships, mergers and acquisitions, and R&D activities can help these companies expand their market footprint.

Key Players in the Gluten-Free Bakery Premix Market

Dynatrace

ScienceLogic SL1

LogicMonitor

Auvik

New Relic

GitLab

AppDynamics

SolarWinds AppOptics

Splunk IT Service Intelligence (ITSI)

Datadog

Sumo Logic

Get More Information on this Report @ https://www.futuremarketinsights.com/reports/observability-platform-market

Latest Developments in the Gluten-free Bakery Premix Market

August 2020- Rackspace Technology released Rackspace Fabric, which now includes the Moogsoft AIOps Platform and thus applies artificial intelligence (AI) and machine learning (ML) to log, metric, trace, and alert data to assist in the resolution of IT incidents faster and more effectively. Rackspace Fabric integration means that Rackspace customers will benefit from increased uptime and fewer incident alerts by utilising machine learning to solve IT problems.

October 2020- Splunk Inc. announced enhancements to its IT Operations portfolio, including the launch of Splunk Service Intelligence for SAP solutions, a new version of Splunk IT Service Intelligence (ITSI), Splunk Infrastructure Monitoring Add-On, and Splunk IT Essentials. Customers can embrace the cloud-driven transformation with Splunk's advanced IT solutions, regardless of where they are in their IT modernization journey.

[ict-marketresearch-reports]

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).

About MarketsandMarkets™

MarketsandMarkets™ provides quantified B2B research on 30,000 high growth niche opportunities/threats which will impact 70% to 80% of worldwide companies’ revenues. Currently servicing 7500 customers worldwide including 80% of global Fortune 1000 companies as clients. Almost 75,000 top officers across eight industries worldwide approach MarketsandMarkets™ for their painpoints around revenues decisions.

Our 850 fulltime analyst and SMEs at MarketsandMarkets™ are tracking global high growth markets following the "Growth Engagement Model – GEM". The GEM aims at proactive collaboration with the clients to identify new opportunities, identify most important customers, write "Attack, avoid and defend" strategies, identify sources of incremental revenues for both the company and its competitors. MarketsandMarkets™ now coming up with 1,500 MicroQuadrants (Positioning top players across leaders, emerging companies, innovators, strategic players) annually in high growth emerging segments. MarketsandMarkets™ is determined to benefit more than 10,000 companies this year for their revenue planning and help them take their innovations/disruptions early to the market by providing them research ahead of the curve.

MarketsandMarkets’s flagship competitive intelligence and market research platform, "Knowledgestore" connects over 200,000 markets and entire value chains for deeper understanding of the unmet insights along with market sizing and forecasts of niche markets.

Contact: Mr. Rohan MarketsandMarkets™ INC. 630 Dundee Road Suite 430 Northbrook, IL 60062 USA : 1-888-600-6441 sales@marketsandmarkets.com

[market-insider]

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.

Gain deeper insights on the market and receive your free copy with TOC now @: Artificial Intelligence For IT Operations Platform Market Report

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.

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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.

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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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