AIOps Platform Market

AIOps Platform Market by Offering (Platforms (Domain-centric, Domain-agnostic), Services (Professional, Managed)), Application (Infrastructure Management, ITSM, Security & Event Management), Deployment Mode, Vertical and Region - Global Forecast to 2028

Report Code: TC 6420 Aug, 2023, by marketsandmarkets.com

AIOps Platform Market - Industry Trends & Forecast

The global market for AIOps Platform is estimated to be worth USD 11.7 billion in 2023. It is projected to reach USD 32.4 billion by 2028 at a CAGR of 22.7% during the forecast period.The rapid digital transformation in global business organizations has led to increasingly complex datasets, requiring significant time, cost, and effort for data processing. As IT operations are also undergoing this transformation, IT teams face the challenge of managing intricate datasets to sustain business operations. Additionally, the distributed architecture and dynamic nature of modern business applications and services have resulted in a considerable increase in data loads over recent years. To address the growing demand for IT agility, the AIOps platform has emerged as a solution for IT operations teams. This AI-powered platform combines human intelligence with automated algorithms, providing full visibility into IT system performance.

Technology Roadmap of AIOps Platform till 2030

The AIOps Paltform market report covers technology roadmap till 2030, with insights around short-term, mid-term, and long-term developments.

Short-term roadmap (2023-2025)

  • The focus is on improving the integration of diverse data sources into the AIOps platform.
  • The AIOps platform enables real-time analysis of streaming data to provide instantaneous insights and proactive monitoring.
  • Focus on improving the interpretability and explainability of AI models used in the AIOps platform.
  • The AIOps platform incorporates self-learning capabilities to adapt and improve over time.

Mid-term roadmap (2025-2028)

  • The AIOps platform expands its integration capabilities to include emerging data sources such as IoT devices and edge computing systems.
  • Strengthens capabilities for processing and analyzing high-velocity, real-time data streams.
  • Advanced techniques, such as rule-based approaches, causal AI, and counterfactual explanations, are explored to provide deeper insights into the reasoning behind AI-driven decisions.
  • Development of self-adaptive systems to dynamically adjust algorithms and models based on evolving IT landscapes.

Long-term roadmap (2028-2030)

  • Advanced techniques, such as data virtualization and federated learning, enable the platform to handle distributed data sources and perform real-time data fusion.
  • Development of advanced streaming analytics techniques that enable real-time decision-making and automated actions.
  • Ethical considerations, including bias mitigation, privacy preservation, and algorithmic transparency, are integrated into the design and implementation of the AIOps platform.
  • Developing intelligent systems capable of self-healing, self-optimizing, and self-configuring.

AIOps Platform Market

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AIOps Platform Market

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Market Dynamics

Driver: Streamlining IT operation for digital transformation through AI and automation

AIOps plays a pivotal role in driving digital transformation by streamlining IT operations and meeting the evolving customer demands in the digital age. It enables businesses to deliver seamless digital experiences by transforming the backend operations. With AIOps, the management of complex environments becomes simpler as it orchestrates infrastructure, applications, and services across hybrid cloud ecosystems, ensuring optimal efficiency and customer satisfaction. Enterprises worldwide are embarking on digital transformation journeys, driven by the need to modernize and adapt in the post-pandemic era of remote work and digital collaboration. However, the success rate of these initiatives remains challenging, with many projects falling short of their goals due to the complexities of implementing new technologies throughout the organization. To overcome these challenges, organizations can harness the power of AI and automation, specifically through the adoption of AIOps platforms. These solutions leverage machine learning to connect and contextualize operational data, enabling informed decision-making and automated issue resolution. By simplifying and streamlining the transformation process, AIOps platforms prove to be a game-changer, particularly as businesses scale up their operations.

By embracing AIOps platforms, enterprises empower their digital transformation initiatives, leveraging the capabilities of AI and automation to drive success, enhance operational efficiency, and effectively navigate the complexities of the modern business landscape.

Restraint: Addressing data quality and availability in AIOps implementation

Data quality and availability pose significant challenges in the implementation of AIOps platforms. AIOps relies on a diverse range of data sources, including system logs, metrics, historical performance data, real-time operations events, and incident-related information. However, the data required for AIOps often suffers from issues such as incompleteness, inconsistency, and being stored in disparate silos across the organization's infrastructure. Insufficient or poor-quality data adversely impacts the accuracy and reliability of AIOps algorithms, resulting in misleading insights and erroneous technology decisions. To overcome these restraints, organizations must focus on data governance practices, data integration techniques, and data quality assurance processes. This includes implementing robust data pipelines, data cleansing procedures, and data normalization techniques to ensure the data used by AIOps platforms is accurate, reliable, and readily available. Furthermore, organizations need to break down data silos, establish data standards, and enforce data quality controls to enhance the overall effectiveness and trustworthiness of AIOps platforms.

Opportunity: Growing demand for increased security threats mitigation and compliance requirements

The rising demand for increased security threats mitigation and compliance requirements presents a significant opportunity for AIOps platforms. With the growing complexity of IT environments and the evolving threat landscape, organizations face challenges in effectively detecting and responding to security incidents while meeting regulatory compliance standards. AIOps platforms leverage advanced analytics and machine learning algorithms to enhance security operations. By analyzing vast amounts of security-related data, including logs, events, and network traffic, these platforms identify patterns, anomalies, and potential security breaches in real-time. This proactive approach enables early threat detection and faster incident response, reducing the risk of data breaches and minimizing the impact of security incidents.

Moreover, AIOps platforms aid organizations in achieving compliance requirements by automating the collection, analysis, and reporting of security-related data. It provide continuous monitoring, audit trail generation, and assist in maintaining adherence to industry-specific regulations. By leveraging the power of AI and automation, AIOps platforms empower organizations to strengthen their security posture, mitigate security threats, and streamline compliance processes. It enable IT teams to efficiently manage security incidents, enhance visibility into security operations, and ensure the protection of critical assets and sensitive data.

Challenge: Lack of transparency and explainability

The lack of transparency and explainability in AIOps algorithms poses a significant issue that hampers the comprehension and articulation of the decision-making process. This lack of transparency and explainability leads to trust issues, especially in regulated industries where human judgment holds paramount importance. The complexity inherent in AIOps algorithms presents challenges in understanding and validating the outcomes they generate. This becomes particularly critical in highly regulated sectors such as finance and healthcare, where accountability and compliance are of utmost significance. Being able to elucidate AI-driven decisions becomes crucial in such environments. To tackle this challenge, it is imperative to enhance the explainability of AIOps algorithms through the development of interpretability techniques. These techniques aim to provide transparent insights into the inner workings and decision-making process of AIOps platforms. By incorporating explainability features, organizations build trust, ensure compliance with regulations, and gain a deeper understanding of the rationale behind the recommendations and actions of AIOps platforms. Effectively addressing this challenge requires striking a balance between algorithmic complexity and interpretability, enabling stakeholders to comprehend and trust the decisions made by AIOps systems with confidence. Achieving explainability is instrumental in the successful adoption and acceptance of AIOps platforms, particularly in regulated industries where transparency and accountability are integral.

AIOps Platform
Market Ecosystem

AIOps Platform Market

By application, infrastructure management to account for the largest market size during the forecast period

Infrastructure management is adopting AIOps platforms to optimize and streamline IT operations. AIOps leverages AI and ML algorithms to analyze vast amounts of infrastructure data in real-time, enabling proactive monitoring, predictive insights, and intelligent automation. By detecting anomalies, predicting potential issues, and automating routine tasks, AIOps improves resource allocation, reduces downtime, and enhances overall infrastructure performance. This adoption of AIOps empowers IT teams to efficiently manage complex and dynamic infrastructures, ensuring better system reliability and meeting the demands of modern business operations.

By deployment, cloud to account for the largest market size during the forecast period

Cloud environments are increasingly adopting AIOps platforms to address the challenges posed by the dynamic and complex nature of cloud-based infrastructures. AIOps leverages AI and ML technologies to analyze data from various cloud sources, such as logs, metrics, and monitoring tools, in real-time. This enables cloud providers and users to gain deep insights into the performance, security, and resource utilization of cloud services. AIOps platforms help optimize cloud resource allocation, automate incident management, and detect potential issues proactively. By embracing AIOps, cloud environments enhance efficiency, improve service reliability, and provide better user experiences for organizations and end-users leveraging cloud services.

By offering, platform to account for the largest market size during the forecast period

AIOps technology is being adopted across various platforms to enhance IT operations. Domain-centric AIOps focuses on specific IT domains, offering tailored insights and automation. Monitoring-centric AIOps uses real-time data from monitoring tools to detect anomalies and improve system performance. ITSM-centric AIOps integrates with IT Service Management processes for efficient incident and problem resolution. Data lake-centric AIOps leverages data repositories for advanced analytics, enabling proactive operations. Domain-agnostic AIOps provides a unified view of the entire IT environment, using data integration for comprehensive analytics.

North America to account for the largest market size during the forecast period

North America is expected to have the largest market share in AIOps Platform market. AIOps Platform is making a significant impact on North America, driving innovation and transforming industries across the region. North America's leadership in AIOps platforms is driven by early adoption, a vibrant tech innovation ecosystem, and a skilled workforce. The region's focus on digital transformation, collaborations, and significant investments in AIOps drive its competitiveness. A thriving startup ecosystem introduces disruptive solutions, keeping North America at the forefront of AIOps technology. These factors collectively enable the region to leverage cutting-edge AIOps platforms and gain a competitive edge in the evolving market.

AIOps Platform Market Size, and Share

Key Market Players

The AIOps Platform vendors have implemented various types of organic and inorganic growth strategies, such as new product launches, product upgradations, partnerships and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. The major vendors in the global market for AIOps Platform IBM (US), Splunk (US), Broadcom (US), OpenText (Canada), Dynatrace (US), Cisco (US), HCL Technologies (India), Elastic (US), ServiceNow (US), HPE (US), Datadog (US), New Relic (US), SolarWinds (US), BMC Software (US), ScienceLogic (US), BigPanda (US), LogicMonitor (US), Sumo Logic (US), Moogsoft (US), Resolve Systems (US), AIMS Innovation (Norway), Interlink Software (UK), CloudFabrix (US), PagerDuty (US), Aisera (US), ManageEngine (US), Digitate (US), ZIF.ai (US), Autointelli (India), UST (US), Freshworks (US), Everbridge (US), StackState (US), Logz.io (US).

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Scope of the Report

Report Metrics

Details

Market size available for years

2017–2028

Base year considered

2022

Forecast period

2023–2028

Forecast units

USD Billion

Segments covered

Offering, Services, Deployment Mode, Application, Vertical, and Region

Geographies covered

North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America

Companies covered

IBM (US), Splunk (US), Broadcom (US), OpenText (Canada), Dynatrace (US), Cisco (US), HCL Technologies (India), Elastic (US), ServiceNow (US), HPE (US), Datadog (US), New Relic (US), SolarWinds (US), BMC Software (US), ScienceLogic (US), BigPanda (US), LogicMonitor (US), Sumo Logic (US), Moogsoft (US), Resolve Systems (US), AIMS Innovation (Norway), Interlink Software (UK), CloudFabrix (US), PagerDuty (US), Aisera (US), ManageEngine (US), Digitate (US), ZIF.ai (US), Autointelli (India), UST (US), Freshworks (US), Everbridge (US), StackState (US), Logz.io (US)

This research report categorizes the AIOps Platform market based on Offering, Services, Deployment Mode, Application, Vertical, and Region.

By Offering:
  • Platform
  • Domain-Centric
    • Monitoring-centric AIOps
    • ITSM centric-AIOps
    • Data-Lake centric-AIOps
  • Domain-Agnostic
  • Services
By Services:
  • Professional Services
    • Implementation Services
    • Licenses and Maintenance Services
    • Training & Education Services
    • Consulting Services
  • Managed Services
    • Managed Network Servicecs
    • Managed Cloud Services
    • Managed Security Services
    • Manged Automation Servcies
By Deployment Mode:
  • On-Premises
  • Cloud
    • Public Cloud
    • Private Cloud
    • Hybrid Cloud
By Application:
  • Infrastructure Mangement
    • Anomaly Detection and Root Cause Analysis
    • Automated Incident Management
    • Capacity Planning and Optimization
    • Performance Monitoring and Optimization
    • Server Monitoring and Management
    • Storage Monitoring and Management
    • Application Performance Monitoring
    • Network Monitoring
  • ITSM
    • Service Level Management
    • Configuration Management
    • Actionable Intelligence
    • IT Asset Management
    • Service Desk Automation (Chatbot)
  • Security & Event Management
  • Security Incident and Event Management (SIEM)
  • Threat Intelligence and Detection
  • Security Automation and Orchestration
  • Security Event Correlation
  • User and Entity Behavior Analytics
  • Vulnerability Management
By Vertical:
  • BFSI
  • Retail & eCommerce
  • Transportation and Logistics
  • Government & Defense
  • Healthcare & Life Sciences
  • Telecom
  • Energy & Utilities
  • Manufacturing
  • IT/ITeS
  • Media & Entertainment
  • Other Verticals
By Region:
  • North America
    • US
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia Pacific
    • China
    • India
    • South Korea
    • ANZ
    • Japan
    • ASEAN
    • Rest of Asia Pacific
  • Middle East & Africa
    • KSA
    • Israel
    • Egypt
    • UAE
    • South Africa
    • Rest of the Middle East & Africa
  • Latin America
    • Brazil
    • Mexico
    • Argentina
    • Rest of Latin America

Recent Developments:

  • In June 2023, IBM announced the acquisition of Apptio to accelerate the advancement of IBM's IT automation capabilities and enable enterprise leaders to deliver enhanced business value across technology investments.
  • In February 2023, OpenText announced the acquisition of Micro Focus to help enterprise professionals secure their operations, gain more insight into their information, and better manage an increasingly hybrid and complex digital fabric.
  • In January 2023, Interlink Software partnered with Cisco and integrated its AIOps platform with AppDynamics. By leveraging this integration, IT teams mitigate the risk of unnecessary IT outages and enhance service availability, optimizing overall operational performance.
  • In April 2022, Meliá Hotels International collaborated with Dynatrace to fuels its digital transformation by migrating its critical applications. Using Dynatrace's observability and advanced AIOps capabilities, Meliá ensures that their digital services match the quality of in-person interactions with hotel staff.
  • In December 2021, Broadcom announced the acquisition of AppNeta.  The acquisition of AppNeta by Broadcom allows for the integration of AppNeta's scalable end-to-end visibility solution with Broadcom's infrastructure and AIOps capabilities.

Frequently Asked Questions (FAQ):

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TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 44)
    1.1 STUDY OBJECTIVES 
    1.2 MARKET DEFINITION 
           1.2.1 INCLUSIONS & EXCLUSIONS
    1.3 MARKET SCOPE 
           1.3.1 MARKET SEGMENTATION
           1.3.2 REGIONS COVERED
           1.3.3 YEARS CONSIDERED
    1.4 CURRENCY CONSIDERED 
           TABLE 1 USD EXCHANGE RATE, 2020–2022
    1.5 STAKEHOLDERS 
    1.6 SUMMARY OF CHANGES 
           1.6.1 IMPACT OF RECESSION
 
2 RESEARCH METHODOLOGY (Page No. - 50)
    2.1 RESEARCH DATA 
           FIGURE 1 AIOPS PLATFORM MARKET: RESEARCH DESIGN
           2.1.1 SECONDARY DATA
           2.1.2 PRIMARY DATA
                    TABLE 2 PRIMARY INTERVIEWS
                    2.1.2.1 Breakup of primary profiles
                    2.1.2.2 Key industry insights
    2.2 MARKET BREAKUP AND DATA TRIANGULATION 
           FIGURE 2 DATA TRIANGULATION
    2.3 MARKET SIZE ESTIMATION 
           FIGURE 3 AIOPS PLATFORM MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
           2.3.1 TOP-DOWN APPROACH
           2.3.2 BOTTOM-UP APPROACH
                    FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 1 (SUPPLY-SIDE), REVENUE FROM SOLUTIONS/SERVICES OF AIOPS PLATFORM
                    FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 2, BOTTOM-UP (SUPPLY-SIDE), COLLECTIVE REVENUE FROM ALL SOLUTIONS/ SERVICES OF AIOPS PLATFORM
                    FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 3, BOTTOM-UP (SUPPLY-SIDE), COLLECTIVE REVENUE FROM ALL SOLUTIONS/ SERVICES OF AIOPS PLATFORM
                    FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 4, BOTTOM-UP (DEMAND-SIDE), SHARE OF AIOPS PLATFORM THROUGH OVERALL AIOPS PLATFORM SPENDING
    2.4 MARKET FORECAST 
           TABLE 3 FACTOR ANALYSIS
    2.5 ASSUMPTIONS 
    2.6 LIMITATIONS 
    2.7 IMPLICATION OF RECESSION ON GLOBAL AIOPS PLATFORM MARKET 
 
3 EXECUTIVE SUMMARY (Page No. - 64)
    TABLE 4 GLOBAL MARKET AND GROWTH RATE, 2017–2022 (USD MILLION, Y-O-Y%) 
    TABLE 5 GLOBAL MARKET AND GROWTH RATE, 2023–2028 (USD MILLION, Y-O-Y%) 
    FIGURE 8 PLATFORM SEGMENT EXPECTED TO ACCOUNT FOR LARGEST MARKET IN 2023 
    FIGURE 9 PROFESSIONAL SERVICES SEGMENT ESTIMATED TO ACCOUNT FOR LARGEST SHARE IN 2023 
    FIGURE 10 CONSULTING SERVICES SEGMENT TO DOMINATE MARKET IN 2023 
    FIGURE 11 MANAGED CLOUD SERVICES SEGMENT ESTIMATED TO ACCOUNT FOR LARGER MARKET SIZE IN 2023 
    FIGURE 12 CLOUD SEGMENT ESTIMATED TO DOMINATE MARKET IN 2023 
    FIGURE 13 INFRASTRUCTURE MANAGEMENT SEGMENT ESTIMATED TO ACCOUNT FOR LARGEST MARKET IN 2023 
    FIGURE 14 BFSI SEGMENT ESTIMATED TO ACCOUNT FOR LARGEST SHARE IN 2023 
    FIGURE 15 NORTH AMERICA MARKET ESTIMATED TO ACCOUNT FOR LARGEST SHARE IN 2023 
 
4 PREMIUM INSIGHTS (Page No. - 70)
    4.1 ATTRACTIVE OPPORTUNITIES IN AIOPS PLATFORM MARKET 
           FIGURE 16 RISING INVESTMENTS IN AIOPS PLATFORM RESEARCH AND DEVELOPMENT TO DRIVE MARKET GROWTH
    4.2 OVERVIEW OF RECESSION IN GLOBAL MARKET 
           FIGURE 17 MARKET TO WITNESS MINOR DECLINE IN Y-O-Y GROWTH IN 2023
    4.3 MARKET, BY KEY APPLICATIONS, 2022–2028 
           FIGURE 18 INFRASTRUCTURE MANAGEMENT SEGMENT ESTIMATED TO ACCOUNT FOR LARGEST MARKET
    4.4 MARKET, BY APPLICATIONS AND KEY VERTICALS, 2023 
           FIGURE 19 INFRASTRUCTURE MANAGEMENT AND BFSI SEGMENTS ESTIMATED TO ACCOUNT FOR SIGNIFICANT MARKET SHARE
    4.5 MARKET, BY REGION, 2023 
           FIGURE 20 NORTH AMERICA ESTIMATED TO DOMINATE MARKET IN 2023
 
5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 73)
    5.1 INTRODUCTION 
    5.2 MARKET DYNAMICS 
           FIGURE 21 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: AIOPS PLATFORM MARKET
           5.2.1 DRIVERS
                    5.2.1.1 Rising complexity and hybridization of IT environments
                    5.2.1.2 Streamlining IT operations for digital transformation through AI and automation
                    5.2.1.3 Growing demand for real-time monitoring, proactive incident response, and predictive analytics
           5.2.2 RESTRAINTS
                    5.2.2.1 Growing changes in IT operations
                    5.2.2.2 Insufficient or poor-quality data adversely impact accuracy and reliability of AIOps algorithms
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Rising demand to enhance automation and increased business innovation
                    5.2.3.2 Growing demand for mitigating security threats and meeting compliance requirements
           5.2.4 CHALLENGES
                    5.2.4.1 Lack of skilled personnel
                    5.2.4.2 Lack of transparency and explainability
    5.3 ARCHITECTURE OF AIOPS PLATFORM 
    5.4 DIFFERENCE BETWEEN AIOPS AND MLOPS 
    5.5 EVOLUTION OF AIOPS PLATFORM 
           FIGURE 22 EVOLUTION OF AIOPS PLATFORM
    5.6 AIOPS PLATFORM MARKET ECOSYSTEM 
           FIGURE 23 AIOPS PLATFORM ECOSYSTEM
           TABLE 6 MARKET: PLATFORM PROVIDERS
           TABLE 7 MARKET: SERVICE PROVIDERS
           TABLE 8 MARKET: CLOUD PROVIDERS
           TABLE 9 MARKET: END USERS
           TABLE 10 MARKET: REGULATORY BODIES
    5.7 CASE STUDY ANALYSIS 
           5.7.1 RETAIL & E-COMMERCE
                    5.7.1.1 Coty leverages AIOps platform from Broadcom to manage IT operations
           5.7.2 TELECOM
                    5.7.2.1 Vodafone adopted OpenText Operations Bridge to focus on root cause analysis and automate incident resolution
           5.7.3 BFSI
                    5.7.3.1 ServiceNow helps DNB improve its IT environment visibility
           5.7.4 IT/ITES
                    5.7.4.1 OpsRamp enables Tietoevry to manage multi-cloud environments
           5.7.5 HEALTHCARE & LIFE SCIENCE
                    5.7.5.1 Cambia Health Solutions leverages BigPanda’s AIOps solution to identify actionable incidents for priority resolution
    5.8 SUPPLY CHAIN ANALYSIS 
           FIGURE 24 SUPPLY CHAIN ANALYSIS: AIOPS PLATFORM MARKET
           5.8.1 KEY TECHNOLOGIES
                    5.8.1.1 Machine learning
                    5.8.1.2 Big data
                    5.8.1.3 Causal AI
                    5.8.1.4 Natural language processing
           5.8.2 ADJACENT TECHNOLOGIES
                    5.8.2.1 Cloud computing
                    5.8.2.2 IoT
                    5.8.2.3 Predictive analytics
                    5.8.2.4 MLOps
                    5.8.2.5 DevOps
    5.9 PORTER’S FIVE FORCES ANALYSIS 
           FIGURE 25 PORTER’S FIVE FORCES ANALYSIS
           TABLE 11 PORTER’S FIVE FORCES ANALYSIS
           5.9.1 THREAT OF NEW ENTRANTS
           5.9.2 THREAT OF SUBSTITUTES
           5.9.3 BARGAINING POWER OF BUYERS
           5.9.4 BARGAINING POWER OF SUPPLIERS
           5.9.5 INTENSITY OF COMPETITIVE RIVALRY
    5.10 PRICING MODEL ANALYSIS 
           5.10.1 INDICATIVE PRICING ANALYSIS, BY PLATFORM
                    TABLE 12 PRICING ANALYSIS OF AIOPS PLATFORM PROVIDERS
           5.10.2 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY APPLICATION
                    TABLE 13 AVERAGE SELLING PRICE ANALYSIS OF AIOPS PLATFORM PROVIDERS, BY APPLICATION
    5.11 PATENT ANALYSIS 
           5.11.1 METHODOLOGY
           5.11.2 DOCUMENT TYPE
                    TABLE 14 PATENTS FILED, 2013–2023
           5.11.3 INNOVATION AND PATENT APPLICATIONS
                    FIGURE 26 TOTAL NUMBER OF PATENTS GRANTED, 2013–2023
                    5.11.3.1 Top applicants
                               FIGURE 27 TOP COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS, 2013–2023
                               TABLE 15 TOP 12 PATENT OWNERS, 2013–2023
                               TABLE 16 LIST OF PATENTS IN AIOPS PLATFORM MARKET, 2022–2023
    5.12 KEY CONFERENCES & EVENTS, 2023–2024 
                    TABLE 17 DETAILED LIST OF CONFERENCES & EVENTS, 2023–2024
    5.13 TARIFF AND REGULATORY LANDSCAPE 
           5.13.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 18 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 19 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 20 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 21 ROW: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
           5.13.2 NORTH AMERICA
                    5.13.2.1 US
                               5.13.2.1.1 California Consumer Privacy Act (CCPA)
                               5.13.2.1.2 Health Insurance Portability and Accountability Act (HIPAA)
                               5.13.2.1.3 Artificial Intelligence Risk Management Framework 1.0 (RMF)
                    5.13.2.2 Canada
                               5.13.2.2.1 Public Safety Canada regulation
           5.13.3 EUROPE
                    5.13.3.1 General Data Protection Regulation (GDPR)
                    5.13.3.2 EU regulatory framework for AI
           5.13.4 ASIA PACIFIC
                    5.13.4.1 South Korea
                               5.13.4.1.1 Personal Information Protection Act (“PIPA”)
                    5.13.4.2 China
                    5.13.4.3 India
           5.13.5 MIDDLE EAST & AFRICA
                    5.13.5.1 UAE
                               5.13.5.1.1 UAE AI regulations
                    5.13.5.2 KSA
                               5.13.5.2.1 Saudi Arabia AI Strategy
                    5.13.5.3 Bahrain
                               5.13.5.3.1 Bahrain AI Ethics Framework
           5.13.6 LATIN AMERICA
                    5.13.6.1 Brazil
                               5.13.6.1.1 Brazil’s General Data Protection Law
                    5.13.6.2 Mexico
                               5.13.6.2.1 Mexico’s National Artificial Intelligence Strategy
    5.14 KEY STAKEHOLDERS AND BUYING CRITERIA 
           5.14.1 KEY STAKEHOLDERS IN BUYING PROCESS
                    FIGURE 28 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
                    TABLE 22 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
           5.14.2 BUYING CRITERIA
                    FIGURE 29 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
                    TABLE 23 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
    5.15 TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS IN AIOPS PLATFORM MARKET 
                    FIGURE 30 MARKET: TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS
    5.16 BEST PRACTICES IN IMPLEMENTING AIOPS PLATFORM 
    5.17 TECHNOLOGY ROADMAP OF MARKET 
    5.18 BUSINESS MODELS OF MARKET 
    5.19 FUNCTIONS OF AIOPS PLATFORMS 
    5.2 KEY STAGES OF AIOPS PLATFORM 
    5.21 LEVELS OF AIOPS PLATFORM MATURITY 
 
6 AIOPS PLATFORM MARKET, BY OFFERING (Page No. - 118)
    6.1 INTRODUCTION 
           6.1.1 OFFERING: MARKET DRIVERS
                    FIGURE 31 SERVICES SEGMENT EXPECTED TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 24 MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                    TABLE 25 MARKET, BY OFFERING, 2023–2028 (USD MILLION)
    6.2 PLATFORMS 
           6.2.1 RISING DEMAND FOR CONTINUOUS ANALYSIS OF DATA TO BOOST MARKET
                    TABLE 26 PLATFORMS: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 27 PLATFORMS: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.2.2 DOMAIN-CENTRIC AIOPS
                    6.2.2.1 Rising need for streamlining workflows with domain-specific data models to boost market
                    6.2.2.2 Monitoring-centric AIOps
                    6.2.2.3 ITSM-centric AIOps
                    6.2.2.4 Data-lake-centric AIOps
           6.2.3 DOMAIN-AGNOSTIC AIOPS
                    6.2.3.1 Ability to work seamlessly across domains to fuel market
    6.3 SERVICES 
           6.3.1 RISING DEMAND FOR INTEGRATION OF DIVERSE IT SOLUTIONS WITHIN ENTERPRISE ECOSYSTEM TO PROPEL MARKET
                    TABLE 28 SERVICES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 29 SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
7 AIOPS PLATFORM MARKET, BY SERVICE (Page No. - 124)
    7.1 INTRODUCTION 
           7.1.1 SERVICES: MARKET DRIVERS
                    FIGURE 32 MANAGED SERVICES SEGMENT EXPECTED TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 30 MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                    TABLE 31 MARKET, BY SERVICE, 2023–2028 (USD MILLION)
    7.2 PROFESSIONAL SERVICES 
           7.2.1 GROWING DEMAND TO MEET SPECIFIC ORGANIZATIONAL NEEDS TO FUEL MARKET GROWTH
                    FIGURE 33 LICENSES & MAINTENANCE SERVICES SEGMENT EXPECTED TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 32 MARKET, BY PROFESSIONAL SERVICES, 2017–2022 (USD MILLION)
                    TABLE 33 MARKET, BY PROFESSIONAL SERVICES, 2023–2028 (USD MILLION)
                    TABLE 34 PROFESSIONAL SERVICES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 35 PROFESSIONAL SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)
           7.2.2 CONSULTING SERVICES
                    TABLE 36 CONSULTING SERVICES: AIOPS PLATFORM MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 37 CONSULTING SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)
           7.2.3 IMPLEMENTATION SERVICES
                    TABLE 38 IMPLEMENTATION SERVICES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 39 IMPLEMENTATION SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)
           7.2.4 TRAINING & EDUCATION SERVICES
                    TABLE 40 TRAINING & EDUCATION SERVICES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 41 TRAINING & EDUCATION SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)
           7.2.5 LICENSES & MAINTENANCE SERVICES
                    TABLE 42 LICENSES & MAINTENANCE SERVICES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 43 LICENSES & MAINTENANCE SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)
    7.3 MANAGED SERVICES 
           7.3.1 RISING DEMAND FOR EXPERT ASSISTANCE TO ENSURE SEAMLESS AIOPS TO DRIVE MARKET
                    TABLE 44 MARKET, BY MANAGED SERVICES, 2017–2022 (USD MILLION)
                    TABLE 45 MARKET, BY MANAGED SERVICES, 2023–2028 (USD MILLION)
                    TABLE 46 MANAGED SERVICES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 47 MANAGED SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)
           7.3.2 MANAGED CLOUD SERVICES
                    TABLE 48 MANAGED CLOUD SERVICES: AIOPS PLATFORM MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 49 MANAGED CLOUD SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)
           7.3.3 MANAGED SECURITY SERVICES
                    TABLE 50 MANAGED SECURITY SERVICES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 51 MANAGED SECURITY SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)
           7.3.4 MANAGED NETWORK SERVICES
                    TABLE 52 MANAGED NETWORK SERVICES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 53 MANAGED NETWORK SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)
           7.3.5 MANAGED AUTOMATION SERVICES
                    TABLE 54 MANAGED AUTOMATION SERVICES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 55 MANAGED AUTOMATION SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
8 AIOPS PLATFORM MARKET, BY DEPLOYMENT MODE (Page No. - 139)
    8.1 INTRODUCTION 
           8.1.1 DEPLOYMENT MODE: MARKET DRIVERS
                    FIGURE 34 ON-PREMISES SEGMENT EXPECTED TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 56 MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
                    TABLE 57 MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
    8.2 CLOUD 
           8.2.1 ABILITY TO SIMPLIFY UPDATES AND REDUCE BURDEN ON BUSINESSES TO BOOST MARKET
                    TABLE 58 CLOUD: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 59 CLOUD: MARKET, BY REGION, 2023–2028 (USD MILLION)
                    TABLE 60 MARKET, BY CLOUD TYPE, 2017–2022 (USD MILLION)
                    TABLE 61 MARKET, BY CLOUD TYPE, 2023–2028 (USD MILLION)
           8.2.2 PUBLIC CLOUD
                    TABLE 62 PUBLIC CLOUD: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 63 PUBLIC CLOUD: AIOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION)
           8.2.3 PRIVATE CLOUD
                    TABLE 64 PRIVATE CLOUD: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 65 PRIVATE CLOUD: MARKET, BY REGION, 2023–2028 (USD MILLION)
           8.2.4 HYBRID CLOUD
                    TABLE 66 HYBRID CLOUD: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 67 HYBRID CLOUD: MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.3 ON-PREMISES 
           8.3.1 GROWING NEED TO OFFER CONTROL AND SECURITY TO PROPEL MARKET GROWTH
                    TABLE 68 ON-PREMISES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 69 ON-PREMISES: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
9 AIOPS PLATFORM MARKET, BY APPLICATION (Page No. - 147)
    9.1 INTRODUCTION 
           9.1.1 APPLICATION: MARKET DRIVERS
                    FIGURE 35 ITSM SEGMENT EXPECTED TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 70 MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                    TABLE 71 MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
    9.2 INFRASTRUCTURE MANAGEMENT 
           9.2.1 ABILITY TO HANDLE COMPLEX AND DISTRIBUTED INFRASTRUCTURE TO DRIVE MARKET
                    TABLE 72 INFRASTRUCTURE MANAGEMENT: AIOPS PLATFORM MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 73 INFRASTRUCTURE MANAGEMENT: MARKET, BY REGION, 2023–2028 (USD MILLION)
           9.2.2 ANOMALY DETECTION AND ROOT CAUSE ANALYSIS
           9.2.3 AUTOMATED INCIDENT MANAGEMENT
           9.2.4 CAPACITY PLANNING AND OPTIMIZATION
           9.2.5 PERFORMANCE MONITORING AND OPTIMIZATION
           9.2.6 SERVER MONITORING AND MANAGEMENT
           9.2.7 STORAGE MONITORING AND MANAGEMENT
           9.2.8 APPLICATION PERFORMANCE MONITORING
           9.2.9 NETWORK MONITORING
                    9.2.9.1 Network performance monitoring
                    9.2.9.2 Network traffic analysis
                    9.2.9.3 Network security management
                    9.2.9.4 Self-healing IT systems
    9.3 ITSM 
           9.3.1 ABILITY TO AUTOMATE ROUTINE TASKS TO DRIVE ADOPTION OF AIOPS PLATFORMS
                    TABLE 74 ITSM: AIOPS PLATFORM MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 75 ITSM: MARKET, BY REGION, 2023–2028 (USD MILLION)
           9.3.2 SERVICE LEVEL MANAGEMENT
           9.3.3 CONFIGURATION MANAGEMENT
           9.3.4 ACTIONABLE INTELLIGENCE
           9.3.5 IT ASSET MANAGEMENT
           9.3.6 SERVICE DESK AUTOMATION (CHATBOT)
    9.4 SECURITY & EVENT MANAGEMENT 
           9.4.1 RISING NEED TO PROACTIVELY DETECT THREAT TO PROPEL ADOPTION OF AIOPS PLATFORMS
                    TABLE 76 SECURITY & EVENT MANAGEMENT: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 77 SECURITY & EVENT MANAGEMENT: MARKET, BY REGION, 2023–2028 (USD MILLION)
           9.4.2 SECURITY INCIDENT AND EVENT MANAGEMENT (SIEM)
           9.4.3 THREAT INTELLIGENCE AND DETECTION
           9.4.4 SECURITY AUTOMATION AND ORCHESTRATION
           9.4.5 SECURITY EVENT CORRELATION
           9.4.6 USER AND ENTITY BEHAVIOR ANALYTICS
           9.4.7 VULNERABILITY MANAGEMENT
 
10 AIOPS PLATFORM MARKET, BY VERTICAL (Page No. - 159)
     10.1 INTRODUCTION 
             10.1.1 VERTICAL: MARKET DRIVERS
                       FIGURE 36 HEALTHCARE & LIFE SCIENCES SEGMENT EXPECTED TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                       TABLE 78 MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 79 MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
     10.2 BFSI 
             10.2.1 GROWING NEED TO IMPROVE QUALITY OF FINANCIAL SERVICES TO BOOST MARKET
                       TABLE 80 BFSI: MARKET, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 81 BFSI: MARKET, BY REGION, 2023–2028 (USD MILLION)
     10.3 RETAIL & ECOMMERCE 
             10.3.1 NEED TO STREAMLINE OPERATIONS AND ENHANCE CUSTOMER EXPERIENCES TO BOOST MARKET
                       TABLE 82 RETAIL & ECOMMERCE: AIOPS PLATFORM MARKET, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 83 RETAIL & ECOMMERCE: MARKET, BY REGION, 2023–2028 (USD MILLION)
     10.4 TRANSPORTATION & LOGISTICS 
             10.4.1 ABILITY TO PREDICT DELAYS AND ADJUST ROUTES TO FUEL GROWTH OF MARKET
                       TABLE 84 TRANSPORTATION & LOGISTICS: MARKET, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 85 TRANSPORTATION & LOGISTICS: MARKET, BY REGION, 2023–2028 (USD MILLION)
     10.5 GOVERNMENT & DEFENSE 
             10.5.1 RISING NEED TO IMPROVE SECURITY AND DECISION-MAKING TO FUEL ADOPTION OF AIOPS PLATFORMS
                       TABLE 86 GOVERNMENT & DEFENSE: AIOPS PLATFORM MARKET, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 87 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2023–2028 (USD MILLION)
     10.6 HEALTHCARE & LIFESCIENCES 
             10.6.1 GROWING NEED TO ENHANCE PATIENT CARE AND MEDICAL ADVANCEMENTS TO PROPEL MARKET
                       TABLE 88 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 89 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2023–2028 (USD MILLION)
     10.7 TELECOM 
             10.7.1 GROWING NEED TO OPTIMIZE NETWORK PERFORMANCE TO DRIVE MARKET
                       TABLE 90 TELECOM: MARKET, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 91 TELECOM: MARKET, BY REGION, 2023–2028 (USD MILLION)
     10.8 ENERGY & UTILITIES 
             10.8.1 ABILITY TO REDUCE MANUAL INTERVENTION AND STREAMLINE PROCESSES TO BOOST MARKET
                       TABLE 92 ENERGY & UTILITIES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 93 ENERGY & UTILITIES: MARKET, BY REGION, 2023–2028 (USD MILLION)
     10.9 MANUFACTURING 
             10.9.1 RISING NEED TO BOOST EFFICIENCY AND QUALITY WITH ADVANCED ANALYTICS TO DRIVE MARKET
                       TABLE 94 MANUFACTURING: AIOPS PLATFORM MARKET, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 95 MANUFACTURING: MARKET, BY REGION, 2023–2028 (USD MILLION)
     10.10 IT/ITES 
               10.10.1 RISING OPPORTUNITIES TO ENHANCE SERVICE RELIABILITY IN DYNAMIC IT LANDSCAPE TO BOOST MARKET
                                   TABLE 96 IT/ITES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                                   TABLE 97 IT/ITES: MARKET, BY REGION, 2023–2028 (USD MILLION)
     10.11 MEDIA & ENTERTAINMENT 
               10.11.1 RISING NEED TO DELIVER HIGH-QUALITY CONTENT TO AUDIENCES TO DRIVE MARKET
                                   TABLE 98 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2017–2022 (USD MILLION)
                                   TABLE 99 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2023–2028 (USD MILLION)
     10.12 OTHER VERTICALS 
               10.12.1 GROWING DEMAND FOR UNLOCKING EFFICIENCY AND PERSONALIZATION TO PROPEL MARKET
                                   TABLE 100 OTHER VERTICALS: MARKET, BY REGION, 2017–2022 (USD MILLION)
                                   TABLE 101 OTHER VERTICALS: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
11 AIOPS PLATFORM MARKET, BY REGION (Page No. - 174)
     11.1 INTRODUCTION 
               FIGURE 37 INDIA TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
               FIGURE 38 ASIA PACIFIC TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
               TABLE 102 MARKET, BY REGION, 2017–2022 (USD MILLION)
               TABLE 103 MARKET, BY REGION, 2023–2028 (USD MILLION)
     11.2 NORTH AMERICA 
             11.2.1 NORTH AMERICA: MARKET DRIVERS
             11.2.2 NORTH AMERICA: RECESSION IMPACT
                       FIGURE 39 NORTH AMERICA: AIOPS PLATFORM MARKET SNAPSHOT
                       TABLE 104 NORTH AMERICA: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 105 NORTH AMERICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                       TABLE 106 NORTH AMERICA: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 107 NORTH AMERICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 108 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                       TABLE 109 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
                       TABLE 110 NORTH AMERICA: MARKET, BY MANAGED SERVICE, 2017–2022 (USD MILLION)
                       TABLE 111 NORTH AMERICA: MARKET, BY MANAGED SERVICE, 2023–2028 (USD MILLION)
                       TABLE 112 NORTH AMERICA: MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
                       TABLE 113 NORTH AMERICA: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                       TABLE 114 NORTH AMERICA: MARKET, BY CLOUD TYPE, 2017–2022 (USD MILLION)
                       TABLE 115 NORTH AMERICA: MARKET, BY CLOUD TYPE, 2023–2028 (USD MILLION)
                       TABLE 116 NORTH AMERICA: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 117 NORTH AMERICA: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
                       TABLE 118 NORTH AMERICA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 119 NORTH AMERICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                       TABLE 120 NORTH AMERICA: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                       TABLE 121 NORTH AMERICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             11.2.3 US
                       11.2.3.1 AI regulations to play a vital role in promoting ethical and responsible use of AI
                                   TABLE 122 US: AIOPS PLATFORM MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                                   TABLE 123 US: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                                   TABLE 124 US: MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
                                   TABLE 125 US: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                                   TABLE 126 US: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                                   TABLE 127 US: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
             11.2.4 CANADA
                       11.2.4.1 Complex IT landscape in Canada to drive players to adopt AIOps platforms
     11.3 EUROPE 
             11.3.1 EUROPE: MARKET DRIVERS
             11.3.2 EUROPE: RECESSION IMPACT
                       TABLE 128 EUROPE: AIOPS PLATFORM MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 129 EUROPE: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                       TABLE 130 EUROPE: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 131 EUROPE: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 132 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                       TABLE 133 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
                       TABLE 134 EUROPE: MARKET, BY MANAGED SERVICE, 2017–2022 (USD MILLION)
                       TABLE 135 EUROPE: MARKET, BY MANAGED SERVICE, 2023–2028 (USD MILLION)
                       TABLE 136 EUROPE: MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
                       TABLE 137 EUROPE: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                       TABLE 138 EUROPE: MARKET, BY CLOUD TYPE, 2017–2022 (USD MILLION)
                       TABLE 139 EUROPE: MARKET, BY CLOUD TYPE, 2023–2028 (USD MILLION)
                       TABLE 140 EUROPE: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 141 EUROPE: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
                       TABLE 142 EUROPE: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 143 EUROPE: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                       TABLE 144 EUROPE: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                       TABLE 145 EUROPE: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             11.3.3 UK
                       11.3.3.1 Rising need to enhance customer satisfaction and drive innovation to boost market
                                   TABLE 146 UK: AIOPS PLATFORM MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                                   TABLE 147 UK: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                                   TABLE 148 UK: MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
                                   TABLE 149 UK: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                                   TABLE 150 UK: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                                   TABLE 151 UK: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
             11.3.4 GERMANY
                       11.3.4.1 Rising demand for smarter and more efficient approaches to IT operations to boost market
             11.3.5 FRANCE
                       11.3.5.1 Rising need to navigate complexities of modern IT landscapes to propel market
             11.3.6 ITALY
                       11.3.6.1 Rising demand to seek advanced IT management solutions to bolster market growth
             11.3.7 SPAIN
                       11.3.7.1 Need to drive digital innovation and operational efficiency to boost market
             11.3.8 REST OF EUROPE
                       11.3.8.1 Growing adoption of AIOps platform to fuel IT transformation across countries
     11.4 ASIA PACIFIC 
             11.4.1 ASIA PACIFIC: MARKET DRIVERS
             11.4.2 ASIA PACIFIC: IMPACT OF RECESSION
                       FIGURE 40 ASIA PACIFIC: MARKET SNAPSHOT
                       TABLE 152 ASIA PACIFIC: AIOPS PLATFORM MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 153 ASIA PACIFIC: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                       TABLE 154 ASIA PACIFIC: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 155 ASIA PACIFIC: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 156 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                       TABLE 157 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
                       TABLE 158 ASIA PACIFIC: MARKET, BY MANAGED SERVICE, 2017–2022 (USD MILLION)
                       TABLE 159 ASIA PACIFIC: MARKET, BY MANAGED SERVICE, 2023–2028 (USD MILLION)
                       TABLE 160 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
                       TABLE 161 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                       TABLE 162 ASIA PACIFIC: MARKET, BY CLOUD TYPE, 2017–2022 (USD MILLION)
                       TABLE 163 ASIA PACIFIC: MARKET, BY CLOUD TYPE, 2023–2028 (USD MILLION)
                       TABLE 164 ASIA PACIFIC: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 165 ASIA PACIFIC: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
                       TABLE 166 ASIA PACIFIC: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 167 ASIA PACIFIC: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                       TABLE 168 ASIA PACIFIC: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                       TABLE 169 ASIA PACIFIC: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             11.4.3 CHINA
                       11.4.3.1 Rising demand for digital transformation to fuel market growth
                                   TABLE 170 CHINA: AIOPS PLATFORM MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                                   TABLE 171 CHINA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                                   TABLE 172 CHINA: MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
                                   TABLE 173 CHINA: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                                   TABLE 174 CHINA: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                                   TABLE 175 CHINA: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
             11.4.4 JAPAN
                       11.4.4.1 Government support for technological innovation and presence of leading tech companies to boost market
             11.4.5 SOUTH KOREA
                       11.4.5.1 Rising government support for AI research and development to propel market
             11.4.6 INDIA
                       11.4.6.1 Thriving technology landscape and increasing digitalization efforts to fuel market growth
             11.4.7 ANZ
                       11.4.7.1 Growing need to revolutionize IT infrastructure with AI and analytics to fuel market growth
             11.4.8 ASEAN
                       11.4.8.1 Growing need to respond and resolve incidents before they occur to boost market
             11.4.9 REST OF ASIA PACIFIC
                       11.4.9.1 Growing need to optimize IT processes and system performance to boost market
     11.5 MIDDLE EAST & AFRICA 
             11.5.1 MIDDLE EAST & AFRICA: MARKET DRIVERS
             11.5.2 MIDDLE EAST & AFRICA: IMPACT OF RECESSION
                       TABLE 176 MIDDLE EAST & AFRICA: AIOPS PLATFORM MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 177 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                       TABLE 178 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 179 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 180 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                       TABLE 181 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
                       TABLE 182 MIDDLE EAST & AFRICA: MARKET, BY MANAGED SERVICE, 2017–2022 (USD MILLION)
                       TABLE 183 MIDDLE EAST & AFRICA: MARKET, BY MANAGED SERVICE, 2023–2028 (USD MILLION)
                       TABLE 184 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
                       TABLE 185 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                       TABLE 186 MIDDLE EAST & AFRICA: MARKET, BY CLOUD TYPE, 2017–2022 (USD MILLION)
                       TABLE 187 MIDDLE EAST & AFRICA: MARKET, BY CLOUD TYPE, 2023–2028 (USD MILLION)
                       TABLE 188 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 189 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
                       TABLE 190 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 191 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                       TABLE 192 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2017– 2022 (USD MILLION)
                       TABLE 193 MIDDLE EAST & AFRICA: AIOPS PLATFORM MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             11.5.3 KSA
                       11.5.3.1 Growing emphasis on AI development across key industry verticals to boost market
             11.5.4 UAE
                       11.5.4.1 Ability to rapidly detect anomalies and patterns in IT landscape to drive market
             11.5.5 ISRAEL
                       11.5.5.1 Growing applications of AIOps platforms across various industry verticals to propel market
             11.5.6 EGYPT
                       11.5.6.1 Government initiatives to gain competitive advantage and enhance operational efficiency to fuel market growth
             11.5.7 SOUTH AFRICA
                       11.5.7.1 Rapid adoption of cutting-edge technologies to enhance IT performance monitoring to boost market
             11.5.8 REST OF MIDDLE EAST & AFRICA
                       11.5.8.1 Significant strides made by businesses to enhance efficiency and improve service delivery to fuel market growth
     11.6 LATIN AMERICA 
             11.6.1 LATIN AMERICA: MARKET DRIVERS
             11.6.2 LATIN AMERICA: IMPACT OF RECESSION
                       TABLE 194 LATIN AMERICA: AIOPS PLATFORM MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 195 LATIN AMERICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                       TABLE 196 LATIN AMERICA: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 197 LATIN AMERICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 198 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                       TABLE 199 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
                       TABLE 200 LATIN AMERICA: MARKET, BY MANAGED SERVICE, 2017–2022 (USD MILLION)
                       TABLE 201 LATIN AMERICA: MARKET, BY MANAGED SERVICE, 2023–2028 (USD MILLION)
                       TABLE 202 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
                       TABLE 203 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                       TABLE 204 LATIN AMERICA: MARKET, BY CLOUD TYPE, 2017–2022 (USD MILLION)
                       TABLE 205 LATIN AMERICA: MARKET, BY CLOUD TYPE, 2023–2028 (USD MILLION)
                       TABLE 206 LATIN AMERICA: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 207 LATIN AMERICA: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
                       TABLE 208 LATIN AMERICA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 209 LATIN AMERICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                       TABLE 210 LATIN AMERICA: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                       TABLE 211 LATIN AMERICA: AIOPS PLATFORM MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             11.6.3 BRAZIL
                       11.6.3.1 Rising need to detect anomalies and foresee potential issues to boost market
             11.6.4 MEXICO
                       11.6.4.1 Commitment to harnessing cutting-edge technologies to fuel market growth
             11.6.5 ARGENTINA
                       11.6.5.1 Rising demand to manage complex IT environments to boost market growth
             11.6.6 REST OF LATIN AMERICA
                       11.6.6.1 Rapid adoption of cutting-edge technologies to enhance IT operations to fuel market growth
 
12 COMPETITIVE LANDSCAPE (Page No. - 227)
     12.1 OVERVIEW 
     12.2 KEY PLAYER STRATEGIES 
               TABLE 212 OVERVIEW OF STRATEGIES ADOPTED BY KEY VENDORS
     12.3 REVENUE ANALYSIS 
             12.3.1 HISTORICAL REVENUE ANALYSIS
                       FIGURE 41 HISTORICAL REVENUE ANALYSIS OF TOP PLAYERS, 2020–2022 (USD MILLION)
     12.4 MARKET SHARE ANALYSIS 
               FIGURE 42 MARKET SHARE ANALYSIS FOR KEY COMPANIES, 2022
               TABLE 213 AIOPS PLATFORM MARKET: DEGREE OF COMPETITION
     12.5 COMPANY EVALUATION MATRIX 
             12.5.1 STARS
             12.5.2 EMERGING LEADERS
             12.5.3 PERVASIVE PLAYERS
             12.5.4 PARTICIPANTS
                       FIGURE 43 GLOBAL MARKET COMPANY EVALUATION MATRIX, 2022
             12.5.5 COMPETITIVE BENCHMARKING
                       TABLE 214 MARKET: PRODUCT FOOTPRINT ANALYSIS OF KEY PLAYERS, 2022
     12.6 STARTUP/SME EVALUATION MATRIX 
             12.6.1 PROGRESSIVE COMPANIES
             12.6.2 RESPONSIVE COMPANIES
             12.6.3 DYNAMIC COMPANIES
             12.6.4 STARTING BLOCKS
                       FIGURE 44 GLOBAL MARKET START-UP/SMES EVALUATION MATRIX, 2022
             12.6.5 STARTUPS/SMES COMPETITIVE BENCHMARKING
                       TABLE 215 MARKET: DETAILED LIST OF KEY STARTUPS/SMES
                       TABLE 216 MARKET: PRODUCT FOOTPRINT ANALYSIS OF STARTUPS/ SMES PLAYERS, 2023
     12.7 AIOPS PLATFORM MARKET: PRODUCT LANDSCAPE 
                       TABLE 217 COMPARATIVE ANALYSIS OF DOMAIN-CENTRIC PRODUCTS
                       TABLE 218 COMPARATIVE ANALYSIS OF DOMAIN-AGNOSTIC PRODUCTS
     12.8 COMPETITIVE SCENARIO AND TRENDS 
             12.8.1 PRODUCT LAUNCHES
                       TABLE 219 SERVICE/PRODUCT LAUNCHES, 2020–2023
             12.8.2 DEALS
                       TABLE 220 DEALS, 2020–2023
     12.9 VALUATION AND FINANCIAL METRICS OF KEY AIOPS PLATFORM VENDORS 
               FIGURE 45 VALUATION AND FINANCIAL METRICS OF KEY VENDORS
     12.10 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND STOCK BETA OF KEY AIOPS PLATFORM VENDORS 
               FIGURE 46 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND STOCK BETA OF KEY VENDORS
 
13 COMPANY PROFILES (Page No. - 246)
     13.1 INTRODUCTION 
(Business overview, Products/Solutions/Services offered, Recent Developments, MNM view)*
     13.2 MAJOR PLAYERS 
             13.2.1 IBM
                       TABLE 221 IBM: BUSINESS OVERVIEW
                       FIGURE 47 IBM: COMPANY SNAPSHOT
                       TABLE 222 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 223 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 224 IBM: DEALS
             13.2.2 SPLUNK
                       TABLE 225 SPLUNK: BUSINESS OVERVIEW
                       FIGURE 48 SPLUNK: COMPANY SNAPSHOT
                       TABLE 226 SPLUNK: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 227 SPLUNK: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 228 SPLUNK: DEALS
             13.2.3 BROADCOM
                       TABLE 229 BROADCOM: BUSINESS OVERVIEW
                       FIGURE 49 BROADCOM: COMPANY SNAPSHOT
                       TABLE 230 BROADCOM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 231 BROADCOM: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 232 BROADCOM: DEALS
             13.2.4 OPENTEXT
                       TABLE 233 OPENTEXT: BUSINESS OVERVIEW
                       FIGURE 50 OPENTEXT: COMPANY SNAPSHOT
                       TABLE 234 OPENTEXT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 235 OPENTEXT: DEALS
             13.2.5 DYNATRACE
                       TABLE 236 DYNATRACE: BUSINESS OVERVIEW
                       FIGURE 51 DYNATRACE: COMPANY SNAPSHOT
                       TABLE 237 DYNATRACE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 238 DYNATRACE: PRODUCT LAUNCHES/ENHANCEMENTS
                       TABLE 239 DYNATRACE: DEALS
             13.2.6 CISCO
                       TABLE 240 CISCO: BUSINESS OVERVIEW
                       FIGURE 52 CISCO: COMPANY SNAPSHOT
                       TABLE 241 CISCO: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 242 CISCO: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 243 CISCO: DEALS
             13.2.7 HCL TECHNOLOGIES
                       TABLE 244 HCL TECHNOLOGIES: BUSINESS OVERVIEW
                       FIGURE 53 HCL TECHNOLOGIES: COMPANY SNAPSHOT
                       TABLE 245 HCL TECHNOLOGIES: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 246 HCL TECHNOLOGIES: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 247 HCL TECHNOLOGIES: DEALS
             13.2.8 ELASTIC
                       TABLE 248 ELASTIC: BUSINESS OVERVIEW
                       FIGURE 54 ELASTIC: COMPANY SNAPSHOT
                       TABLE 249 ELASTIC: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 250 ELASTIC: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 251 ELASTIC: DEALS
             13.2.9 SERVICENOW
                       TABLE 252 SERVICENOW: BUSINESS OVERVIEW
                       FIGURE 55 SERVICENOW: COMPANY SNAPSHOT
                       TABLE 253 SERVICENOW: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 254 SERVICENOW: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 255 SERVICENOW: DEALS
             13.2.10 HPE
                       TABLE 256 HPE: BUSINESS OVERVIEW
                       FIGURE 56 HPE: COMPANY SNAPSHOT
                       TABLE 257 HPE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 258 HPE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 259 HPE: DEALS
             13.2.11 DATADOG
                       TABLE 260 DATADOG: BUSINESS OVERVIEW
                       FIGURE 57 DATADOG: COMPANY SNAPSHOT
                       TABLE 261 DATADOG: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 262 DATADOG: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 263 DATADOG: DEALS
             13.2.12 NEW RELIC
                       TABLE 264 NEW RELIC: BUSINESS OVERVIEW
                       FIGURE 58 NEW RELIC: COMPANY SNAPSHOT
                       TABLE 265 NEW RELIC: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 266 NEW RELIC: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 267 NEW RELIC: DEALS
             13.2.13 SOLARWINDS
                       TABLE 268 SOLARWINDS: BUSINESS OVERVIEW
                       FIGURE 59 SOLARWINDS: COMPANY SNAPSHOT
                       TABLE 269 SOLARWINDS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 270 SOLARWINDS: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 271 SOLARWINDS: DEALS
             13.2.14 BMC SOFTWARE
                       TABLE 272 BMC SOFTWARE: BUSINESS OVERVIEW
                       TABLE 273 BMC SOFTWARE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 274 BMC SOFTWARE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 275 BMC SOFTWARE: DEALS
             13.2.15 SCIENCELOGIC
                       TABLE 276 SCIENCELOGIC: BUSINESS OVERVIEW
                       TABLE 277 SCIENCELOGIC: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 278 SCIENCELOGIC: DEALS
                       TABLE 279 SCIENCELOGIC: OTHER DEVELOPMENTS
             13.2.16 BIGPANDA
                       TABLE 280 BIGPANDA: BUSINESS OVERVIEW
                       TABLE 281 BIGPANDA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 282 BIGPANDA: PRODUCT LAUNCHES
                       TABLE 283 BIGPANDA: DEALS
                       TABLE 284 BIGPANDA: OTHER DEVELOPMENTS
     13.3 OTHER PLAYERS 
             13.3.1 LOGICMONITOR
             13.3.2 SUMO LOGIC
             13.3.3 MOOGSOFT
             13.3.4 RESOLVE SYSTEMS
             13.3.5 AIMS INNOVATION
             13.3.6 INTERLINK SOFTWARE
             13.3.7 TENGU.IO
             13.3.8 PAGERDUTY
             13.3.9 AISERA
             13.3.10 MANAGEENGINE
             13.3.11 DIGITATE
             13.3.12 ZIF.AI
             13.3.13 AUTOINTELLI
             13.3.14 UST
             13.3.15 FRESHWORKS
             13.3.16 EVERBRIDGE
             13.3.17 STACKSTATE
             13.3.18 LOGZ.IO
*Details on Business overview, Products/Solutions/Services offered, Recent Developments, MNM view might not be captured in case of unlisted companies.
 
14 ADJACENT AND RELATED MARKETS (Page No. - 325)
     14.1 INTRODUCTION 
     14.2 GENERATIVE AI MARKET - GLOBAL FORECAST TO 2028 
             14.2.1 MARKET DEFINITION
             14.2.2 MARKET OVERVIEW
                       TABLE 285 GLOBAL GENERATIVE AI MARKET SIZE AND GROWTH RATE, 2019–2022 (USD MILLION, Y-O-Y %)
                       TABLE 286 GLOBAL GENERATIVE AI MARKET SIZE AND GROWTH RATE, 2023–2028 (USD MILLION, Y-O-Y %)
                       14.2.2.1 Generative AI market, by offering
                                   TABLE 287 GENERATIVE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                                   TABLE 288 GENERATIVE AI MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                       14.2.2.2 Generative AI market, by application
                                   TABLE 289 GENERATIVE AI MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
                                   TABLE 290 GENERATIVE AI MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
                       14.2.2.3 Generative AI market, by vertical
                                   TABLE 291 GENERATIVE AI MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
                                   TABLE 292 GENERATIVE AI MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                       14.2.2.4 Generative AI market, by region
                                   TABLE 293 GENERATIVE AI MARKET SIZE, BY REGION, 2019–2022 (USD MILLION)
                                   TABLE 294 GENERATIVE AI MARKET SIZE, BY REGION, 2023–2028 (USD MILLION)
     14.3 MLOPS MARKET - GLOBAL FORECAST TO 2027 
             14.3.1 MARKET DEFINITION
             14.3.2 MARKET OVERVIEW
                       TABLE 295 GLOBAL MLOPS MARKET SIZE AND GROWTH RATE, 2018–2021 (USD MILLION, Y-O-Y%)
                       TABLE 296 GLOBAL MLOPS MARKET SIZE AND GROWTH RATE, 2022–2027 (USD MILLION, Y-O-Y%)
                       14.3.2.1 MLOps market, by component
                                   TABLE 297 MLOPS MARKET, BY COMPONENT, 2018–2021 (USD MILLION)
                                   TABLE 298 MLOPS MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                       14.3.2.2 MLOps market, by deployment mode
                                   TABLE 299 MLOPS MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION)
                                   TABLE 300 MLOPS MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                       14.3.2.3 MLOps market, by organization size
                                   TABLE 301 MLOPS MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION)
                                   TABLE 302 MLOPS MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
                       14.3.2.4 MLOps market, by vertical
                                   TABLE 303 MLOPS MARKET, BY VERTICAL, 2018–2021 (USD MILLION)
                                   TABLE 304 MLOPS MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
                       14.3.2.5 MLOps market, by region
                                   TABLE 305 MLOPS MARKET, BY REGION, 2018–2021 (USD MILLION)
                                   TABLE 306 MLOPS MARKET, BY REGION, 2022–2027 (USD MILLION)
 
15 APPENDIX (Page No. - 338)
     15.1 DISCUSSION GUIDE 
     15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 
     15.3 CUSTOMIZATION OPTIONS 
     15.4 RELATED REPORTS 
     15.5 AUTHOR DETAILS 

The research methodology for the global AIOps Platform market report involved the use of extensive secondary sources and directories, as well as various reputed open-source databases, to identify and collect information useful for this technical and market-oriented study. In-depth interviews were conducted with various primary respondents, including key opinion leaders, subject matter experts, high-level executives of multiple companies offering AIOps Platform offerings, and industry consultants to obtain and verify critical qualitative and quantitative information and assess the market prospects and industry trends.

Secondary Research

In the secondary research process, various secondary sources were referred to for identifying and collecting information for the study. The secondary sources included annual reports; press releases and investor presentations of companies; and white papers, certified publications, and articles from recognized associations and government publishing sources.

The secondary research was used to obtain key information about the industry’s value chain, the market’s monetary chain, the overall pool of key players, market classification and segmentation according to industry trends to the bottom-most level, regional markets, and key developments from the market and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from the supply and demand sides of the AIOps Platform market ecosystem were interviewed to obtain qualitative and quantitative information for this study. The primary sources from the supply side included industry experts, such as chief executive officers (CEOs), vice presidents (VPs), marketing directors, technology and innovation directors, and related key executives from various vendors providing AIOps Platform offerings; associated service providers; and system integrators operating in the targeted regions. All possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

After the complete market engineering (including calculations for market statistics, market breakup, market size estimations, market forecast, and data triangulation), extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. Primary research was also undertaken to identify and validate the segmentation types; industry trends; key players; the market's competitive landscape, and key market dynamics, such as drivers, restraints, opportunities, challenges, industry trends, and key strategies.

In the complete market engineering process, the top-down and bottom-up approaches and several data triangulation methods were extensively used to perform the market estimation and market forecast for the overall market segments and subsegments listed in this report. Extensive qualitative and quantitative analysis was performed on the complete market engineering process to record the critical information/insights throughout the report.

The following is the breakup of primary profiles:

AIOps Platform Market Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

For making market estimates and forecasting the AIOps Platform market and the other dependent submarkets, top-down and bottom-up approaches were used. The bottom-up procedure was used to arrive at the overall market size of the global AIOps Platform market, using the revenue from the key companies and their offerings in the market. With data triangulation and validation through primary interviews, this study determined and confirmed the exact value of the overall parent market size. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segments.

The top-down approach prepared an exhaustive list of all the vendors offering AIOps Platform. The revenue contribution of the market vendors was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each vendor’s offerings were evaluated based on the breadth of solution and service offerings, cloud types, organization sizes, and verticals. The aggregate of all the companies' revenues was extrapolated to reach the overall market size. Each subsegment was studied and analyzed for its global market size and regional penetration. The markets were triangulated through both primary and secondary research. The primary procedure included extensive interviews for key insights from industry leaders, such as CIOs, CEOs, VPs, directors, and marketing executives. The market numbers were further triangulated with the existing MarketsandMarkets repository for validation.

In the bottom-up approach, the adoption rate of AIOps Platform solutions and services among different end-users in key countries with respect to their regions contributing the most to the market share was identified. For cross-validation, the adoption of AIOps Platform solutions and services among industries, along with different use cases with respect to their regions, was identified and extrapolated. Weightage was given to use cases identified in different regions for the market size calculation.

All the possible parameters that affect the market covered in the research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The data is consolidated and added with detailed inputs and analysis from MarketsandMarkets.

  • The pricing trend is assumed to vary over time.
  • All the forecasts are made with the standard assumption that the accepted currency is USD.
  • For the conversion of various currencies to USD, average historical exchange rates are used according to the year specified. For all the historical and current exchange rates required for calculations and currency conversions, the US Internal Revenue Service’s website is used.
  • All the forecasts are made under the standard assumption that the globally accepted currency, USD, remains constant during the next five years.
  • Vendor-side analysis: The market size estimates of associated solutions and services are factored in from the vendor side by assuming an average of licensing and subscription-based models of leading and innovative vendors.
  • Demand/end-user analysis: End users operating in verticals across regions are analyzed in terms of market spending on AIOps Platform solutions based on some of the key use cases. These factors for the AIOps Platform tool industry per region are separately analyzed, and the average spending was extrapolated with an approximation based on assumed weightage. This factor is derived by averaging various market influencers, including recent developments, regulations, mergers and acquisitions, enterprise/SME adoption, startup ecosystem, IT spending, technology propensity and maturity, use cases, and the estimated number of organizations per region.

Data Triangulation

After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Market Size Estimation: Top Down And Bottom Up Approach

AIOps Platform Market Size, and Share

To know about the assumptions considered for the study, Request for Free Sample Report

Market Definition

According to Sumo Logic, AIOps involves using AI and machine learning to automate tasks traditionally performed manually by IT operators. AIOps implementations employ mathematical models that analyze data to trigger response algorithms based on predefined criteria.

MoogSoft defines AIOps as the application of AI, machine learning, and NLP to IT Ops activities. AIOps aids IT Ops, DevOps, and SRE teams in working more efficiently, detecting issues earlier, and resolving them promptly to prevent business disruptions and customer impact.

Key Stakeholders

  • Analytics solution vendors
  • Artificial intelligence (AI) service providers
  • Value-added resellers
  • Security and intelligence service providers
  • MSPs
  • Cloud service providers
  • Network and system integrators
  • IT operations tool and solution providers

Report Objectives

  • To define, describe, and predict the AIOps platform market by offering (platform and services), services, applications, vertical, and region
  • To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
  • To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
  • To forecast the market size of segments with respect to five main regions: North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America
  • To profile key players and comprehensively analyze their market rankings and core competencies
  • To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the AIOps platform market
  • To analyze the impact of the recession in the AIOps platform market

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Product Analysis

  • Product matrix provides a detailed comparison of the product portfolio of each company

Geographic Analysis

  • Further breakup of the North American market for AIOps Platform
  • Further breakup of the European market for AIOps Platform
  • Further breakup of the Asia Pacific market for AIOps Platform
  • Further breakup of the Latin American market for AIOps Platform
  • Further breakup of the Middle East & Africa market for AIOps Platform

Company Information

  • Detailed analysis and profiling of additional market players (up to five)
Custom Market Research Services

We will customize the research for you, in case the report listed above does not meet with your exact requirements. Our custom research will comprehensively cover the business information you require to help you arrive at strategic and profitable business decisions.

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Report Code
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Published ON
Aug, 2023
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