AIOps市场－全球产业规模、份额、趋势、机会和预测：按产品、应用、部署、公司规模、产业垂直领域、地区和竞争格局预测，2021-2031年

全球 AIOps 市场预计将从 2025 年的 22.7 亿美元大幅成长至 2031 年的 63.6 亿美元，复合年增长率达 18.73%。

AIOps（人工智慧运作）利用人工智慧和机器学习演算法来自动化和增强IT运维工作流程。透过分析硬体和软体组件产生的大量数据，这些解决方案能够检测异常、预测潜在故障，并在极少人工干预的情况下进行根本原因分析。现代混合云端环境日益复杂且警告数量庞大，这主要是推动市场成长的因素，使得智慧自动化对于确保系统可靠性和运维效率至关重要。

儘管这些优势显而易见，但市场在成功实施此类复杂系统方面仍面临许多障碍。阻碍市场扩张的主要因素在于，企业难以整合分散的资料孤岛，也难以产生高品质资料集以支援精准的演算法处理。根据 CompTIA 预测，到 2024 年，62% 的科技公司计划扩大人工智慧的应用范围，以处理日常任务​​并加速自动化进程。虽然这显示市场需求强劲，但真正的成长将取决于企业能否解决内部资料管治问题，并弥补管理这些先进平台所需的技术技能缺口。

市场驱动因素

混合云和多重云端IT 架构日益复杂化是全球 AIOps 市场的主要驱动力。随着企业将基础设施分布在本地资料中心和各种云端平台之间，由此产生的维运噪音造成了管理危机，而传统的监控工具难以应对。这种架构的激增需要能够摄取和关联海量遥测资料的智慧解决方案来维护系统稳定性。根据 Dynatrace 于 2024 年 3 月发布的《2024 年可观测性现况报告》，88% 的组织机构的技术堆迭复杂性较上年度增加。因此，儘管数位化触点快速扩张，企业仍在积极采用 AIOps 来解读复杂环境，并确保其关键基础设施的可见性和可管理性。

同时，市场正受到主动管理事件和加快故障解决速度以最大限度减少高成本的服务中断的迫切需求所驱动。各组织正优先采用 AIOps，从被动故障排除转向预测性修復。这显着缩短了平均修復时间 (MTTR)，并提高了服务可用性。这种营运模式的转变带来了实质的可靠性提升。根据 New Relic 于 2024 年 9 月发布的《2024 年可观测性预测报告》，拥有全端可观测性的组织与没有可观测性的组织相比，年度停机时间减少了 79%。这些广受认可的效率提升巩固了 AI 整合作为现代营运标准的地位。 Splunk 的 2024 年调查结果显示，97% 的受访者正在利用人工智慧和机器学习来增强其可观测性营运。

市场挑战

无法有效整合分散的资料孤岛是全球AIOps市场发展的一大障碍。 AIOps平台高度依赖全面、高品质的资料集来训练机器学习演算法并进行精准的根本原因分析。当企业的资料分散在不同的旧有系统或部门级资料仓储时，这些平台便缺乏识别异常或准确预测故障所需的全面情境资讯。这种资料碎片化直接损害了演算法输出的可靠性，降低了自动化的效率，并削弱了其对企业的整体提案。

这些数据品质和整合问题严重限制了市场扩充性。根据智慧资讯管理协会 (AIIM) 预测，到 2024 年，52% 的组织将面临人工智慧系统部署过程中与资料品质和分类相关的挑战。这些障碍迫使企业将大量资源投入手动资料清洗，而非业务创新。因此，弥合这些技术差距的复杂性阻碍了人工智慧维运 (AIOps) 部署的广泛应用，并延缓了投资回报的实现。

市场趋势

生成式人工智慧与大规模语言模式的融合正在从根本上重塑全球AIOps市场，将平台从被动监控工具转变为主动互动式助理。与仅依赖数值指标的传统预测模型不同，这些生成式系统能够整合非结构化数据，产生自动化修復脚本、汇总复杂的事件日誌，并建立自然语言的事故分析报告。这种能力显着降低了非技术人员的入门门槛，并加速了自动化操作手册的开发。这种发展动能也体现在企业策略中：根据IBM于2024年1月发布的《2023年全球人工智慧采用指数》，33%的受访企业将IT流程自动化视为推动人工智慧应用的关键因素。

同时，AIOps 与可观测性和安全框架的融合正推动市场朝向整合式 DevSecOps 方法发展。随着网路威胁日益复杂，企业正在摒弃孤立的安全工具，转而采用能够即时关联效能异常与潜在安全漏洞的整合平台。这种全面的可见性使得漏洞管理能够直接整合到持续交付管道中，从而在风险影响最终用户之前将其扼杀在萌芽状态。这种策略调整正成为经营团队的首要任务；根据 Dynatrace 于 2024 年 5 月发布的《2024 年首席资讯安全官报告》，71% 的资讯安全领导者认为 DevSecOps 自动化对于最大限度地降低应用程式安全风险和确保强大的防御能力至关重要。

目录

第一章概述

第二章调查方法

第三章执行摘要

第四章：客户评价

第五章 全球AIOps市场展望

• 市场规模及预测
  • 按金额
• 市占率及预测
  • 透过提供（平台、服务）
  • 透过用途（基础设施管理、应用程式效能分析、软体资产管理、网路安全管理等）
  • 依部署方式（本机部署、云端部署）
  • 按公司规模（大型公司、中小企业）
  • 按行业划分（银行、金融服务和保险业、医疗保健和生命科学业、零售和电子商务业、IT和电信业、能源和公共产业、政府和公共部门业、媒体和娱乐业、其他业）
  • 按地区
  • 按公司（2025 年）
• 市场地图

第六章 北美AIOps市场展望

• 市场规模及预测
• 市占率及预测
• 北美洲：国家分析
  • 美国
  • 加拿大
  • 墨西哥

第七章：欧洲AIOps市场展望

• 市场规模及预测
• 市占率及预测
• 欧洲：国家分析
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙

第八章：亚太地区AIOps市场展望

• 市场规模及预测
• 市占率及预测
• 亚太地区：国家分析
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲

9. 中东和非洲AIOps市场展望

• 市场规模及预测
• 市占率及预测
• 中东和非洲：国家分析
  • 沙乌地阿拉伯
  • 阿拉伯聯合大公国
  • 南非

第十章：南美AIOps市场展望

• 市场规模及预测
• 市占率及预测
• 南美洲：国家分析
  • 巴西
  • 哥伦比亚
  • 阿根廷

第十一章 市场动态

• 司机
• 任务

第十二章 市场趋势与发展

• 併购
• 产品发布
• 最新进展

第十三章：全球AIOps市场：SWOT分析

第十四章：波特五力分析

• 产业竞争
• 新进入者的可能性
• 供应商电力
• 顾客权力
• 替代品的威胁

第十五章 竞争格局

• AppDynamics
• BMC Software, Inc.
• HCL Technologies Limited
• International Business Machines Corporation
• Micro Focus
• Moogsoft Inc.
• ProphetStor Data Services, Inc.
• Resolve Systems, Splunk Inc.
• VMware, Inc.

第十六章 策略建议

第十七章：关于研究公司及免责声明

The Global AIOps Market is projected to expand significantly, growing from a valuation of USD 2.27 Billion in 2025 to USD 6.36 Billion by 2031, reflecting a Compound Annual Growth Rate (CAGR) of 18.73%. AIOps, or Artificial Intelligence for IT Operations, utilizes artificial intelligence and machine learning algorithms to automate and upgrade IT operational workflows. By analyzing massive quantities of data produced by hardware and software components, these solutions detect anomalies, forecast potential outages, and perform root cause analysis with minimal human intervention. This market growth is primarily fueled by the increasing intricacy of modern hybrid cloud environments and the unmanageable volume of alerts, which necessitate intelligent automation to ensure system reliability and operational efficiency.

Despite these clear benefits, the market encounters obstacles regarding the successful deployment of such complex systems. A major hurdle slowing market expansion is the difficulty organizations face in integrating fragmented data silos to generate the high-quality datasets needed for accurate algorithmic processing. According to CompTIA, in 2024, 62 percent of technology companies planned to increase their adoption of artificial intelligence to handle routine tasks and accelerate automation. While this indicates robust demand, actualized growth depends on enterprises resolving internal data governance issues and addressing the technical skills gap required to manage these advanced platforms.

Market Driver

The escalating complexity of hybrid and multi-cloud IT architectures serves as a primary catalyst for the Global AIOps Market. As enterprises distribute their infrastructure across on-premises data centers and various cloud platforms, the resulting operational noise creates a manageability crisis that traditional monitoring tools are unable to address. This architectural sprawl demands intelligent solutions capable of ingesting and correlating immense volumes of telemetry data to maintain system stability. According to the 'The State of Observability 2024' report by Dynatrace in March 2024, 88 percent of organizations experienced an increase in the complexity of their technology stack over the previous year. Consequently, businesses are aggressively deploying AIOps to interpret these intricate environments, ensuring critical infrastructure remains visible and manageable despite the rapid expansion of digital touchpoints.

Concurrently, the market is driven by the imperative for proactive incident management and accelerated resolution times to minimize costly service disruptions. Organizations are prioritizing AIOps to transition from reactive troubleshooting to predictive remediation, drastically reducing Mean Time to Resolution (MTTR) and enhancing service availability. This operational shift delivers tangible reliability gains; according to New Relic's '2024 Observability Forecast' released in September 2024, organizations that achieved full-stack observability experienced 79 percent less downtime annually compared to those without such capabilities. The widespread recognition of these efficiency improvements has solidified AI integration as a standard for modern operations, as evidenced by Splunk's 2024 finding that 97 percent of surveyed respondents utilized artificial intelligence and machine learning to enhance their observability operations.

Market Challenge

The inability to effectively integrate fragmented data silos represents a substantial barrier to the progress of the Global AIOps Market. AIOps platforms depend heavily on the ingestion of comprehensive, high-quality datasets to train machine learning algorithms and execute accurate root cause analyses. When organizational data is trapped within distinct legacy systems or departmental pockets, these platforms lack the holistic context necessary to identify anomalies or predict outages with precision. This fragmentation directly compromises the reliability of algorithmic outputs, rendering automation less effective and reducing the overall value proposition for enterprises.

This issue of data quality and unification significantly restricts market scalability. According to the Association for Intelligent Information Management, in 2024, 52 percent of organizations reported encountering challenges related to data quality and categorization during the implementation of artificial intelligence systems. Such obstacles force companies to dedicate excessive resources to manual data cleansing rather than operational innovation. Consequently, the complexity of bridging these technical gaps discourages widespread adoption and delays the realization of return on investment for AIOps deployments.

Market Trends

The integration of Generative AI and Large Language Models is fundamentally reshaping the Global AIOps Market by transitioning platforms from passive monitoring tools into active, conversational assistants. Unlike traditional predictive models that rely solely on numerical metrics, these generative systems can synthesize unstructured data to generate automated remediation scripts, summarize complex incident logs, and draft post-mortem reports in natural language. This capability significantly lowers the barrier to entry for non-technical staff and accelerates the development of automation playbooks. The momentum behind this trend is evident in enterprise strategies, as according to IBM's 'Global AI Adoption Index 2023' released in January 2024, 33 percent of surveyed enterprises identified the automation of IT processes as a key driver for their artificial intelligence adoption.

Simultaneously, the convergence of AIOps with observability and security frameworks is driving the market toward a unified DevSecOps approach. As cyber threats become more complex, organizations are abandoning isolated security tools in favor of integrated platforms that correlate performance anomalies with potential security breaches in real-time. This holistic visibility ensures that vulnerability management is embedded directly into the continuous delivery pipeline, preventing risks before they impact end-users. This strategic alignment is becoming a top priority for leadership, and according to the '2024 CISO Report' by Dynatrace in May 2024, 71 percent of Chief Information Security Officers stated that DevSecOps automation is critical to minimizing application security risk and ensuring robust defense measures.

Key Market Players

• AppDynamics
• BMC Software, Inc.
• HCL Technologies Limited
• International Business Machines Corporation
• Micro Focus
• Moogsoft Inc.
• ProphetStor Data Services, Inc.
• Resolve Systems, Splunk Inc.
• VMware, Inc.

Report Scope

In this report, the Global AIOps Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

AIOps Market, By Offering

• Platform
• Service

AIOps Market, By Application

• Infrastructure Management
• Application Performance Analysis
• Software Asset Management
• Network & Security Management
• Others

AIOps Market, By Deployment

• On-Premise
• Cloud

AIOps Market, By Enterprise Size

• Large Enterprises
• Small
• Medium-Sized Enterprises (SMEs)

AIOps Market, By vertical

• BFSI (Banking, Financial Services, Insurance)
• Healthcare & Life Sciences
• Retail & E-Commerce
• IT & Telecom
• Energy & Utilities
• Government & Public Sector
• Media & Entertainment
• Others

AIOps Market, By Region

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
• South America
  • Brazil
  • Argentina
  • Colombia
• Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global AIOps Market.

Available Customizations:

Global AIOps Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global AIOps Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Offering (Platform, Service)
  • 5.2.2. By Application (Infrastructure Management, Application Performance Analysis, Software Asset Management, Network & Security Management, Others)
  • 5.2.3. By Deployment (On-Premise, Cloud)
  • 5.2.4. By Enterprise Size (Large Enterprises, Small, Medium-Sized Enterprises (SMEs))
  • 5.2.5. By vertical (BFSI (Banking, Financial Services, Insurance), Healthcare & Life Sciences, Retail & E-Commerce, IT & Telecom, Energy & Utilities, Government & Public Sector, Media & Entertainment, Others)
  • 5.2.6. By Region
  • 5.2.7. By Company (2025)
• 5.3. Market Map

6. North America AIOps Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Offering
  • 6.2.2. By Application
  • 6.2.3. By Deployment
  • 6.2.4. By Enterprise Size
  • 6.2.5. By vertical
  • 6.2.6. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States AIOps Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Offering
      • 6.3.1.2.2. By Application
      • 6.3.1.2.3. By Deployment
      • 6.3.1.2.4. By Enterprise Size
      • 6.3.1.2.5. By vertical
  • 6.3.2. Canada AIOps Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Offering
      • 6.3.2.2.2. By Application
      • 6.3.2.2.3. By Deployment
      • 6.3.2.2.4. By Enterprise Size
      • 6.3.2.2.5. By vertical
  • 6.3.3. Mexico AIOps Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Offering
      • 6.3.3.2.2. By Application
      • 6.3.3.2.3. By Deployment
      • 6.3.3.2.4. By Enterprise Size
      • 6.3.3.2.5. By vertical

7. Europe AIOps Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Offering
  • 7.2.2. By Application
  • 7.2.3. By Deployment
  • 7.2.4. By Enterprise Size
  • 7.2.5. By vertical
  • 7.2.6. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany AIOps Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Offering
      • 7.3.1.2.2. By Application
      • 7.3.1.2.3. By Deployment
      • 7.3.1.2.4. By Enterprise Size
      • 7.3.1.2.5. By vertical
  • 7.3.2. France AIOps Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Offering
      • 7.3.2.2.2. By Application
      • 7.3.2.2.3. By Deployment
      • 7.3.2.2.4. By Enterprise Size
      • 7.3.2.2.5. By vertical
  • 7.3.3. United Kingdom AIOps Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Offering
      • 7.3.3.2.2. By Application
      • 7.3.3.2.3. By Deployment
      • 7.3.3.2.4. By Enterprise Size
      • 7.3.3.2.5. By vertical
  • 7.3.4. Italy AIOps Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Offering
      • 7.3.4.2.2. By Application
      • 7.3.4.2.3. By Deployment
      • 7.3.4.2.4. By Enterprise Size
      • 7.3.4.2.5. By vertical
  • 7.3.5. Spain AIOps Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Offering
      • 7.3.5.2.2. By Application
      • 7.3.5.2.3. By Deployment
      • 7.3.5.2.4. By Enterprise Size
      • 7.3.5.2.5. By vertical

8. Asia Pacific AIOps Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Offering
  • 8.2.2. By Application
  • 8.2.3. By Deployment
  • 8.2.4. By Enterprise Size
  • 8.2.5. By vertical
  • 8.2.6. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China AIOps Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Offering
      • 8.3.1.2.2. By Application
      • 8.3.1.2.3. By Deployment
      • 8.3.1.2.4. By Enterprise Size
      • 8.3.1.2.5. By vertical
  • 8.3.2. India AIOps Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Offering
      • 8.3.2.2.2. By Application
      • 8.3.2.2.3. By Deployment
      • 8.3.2.2.4. By Enterprise Size
      • 8.3.2.2.5. By vertical
  • 8.3.3. Japan AIOps Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Offering
      • 8.3.3.2.2. By Application
      • 8.3.3.2.3. By Deployment
      • 8.3.3.2.4. By Enterprise Size
      • 8.3.3.2.5. By vertical
  • 8.3.4. South Korea AIOps Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Offering
      • 8.3.4.2.2. By Application
      • 8.3.4.2.3. By Deployment
      • 8.3.4.2.4. By Enterprise Size
      • 8.3.4.2.5. By vertical
  • 8.3.5. Australia AIOps Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Offering
      • 8.3.5.2.2. By Application
      • 8.3.5.2.3. By Deployment
      • 8.3.5.2.4. By Enterprise Size
      • 8.3.5.2.5. By vertical

9. Middle East & Africa AIOps Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Offering
  • 9.2.2. By Application
  • 9.2.3. By Deployment
  • 9.2.4. By Enterprise Size
  • 9.2.5. By vertical
  • 9.2.6. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia AIOps Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Offering
      • 9.3.1.2.2. By Application
      • 9.3.1.2.3. By Deployment
      • 9.3.1.2.4. By Enterprise Size
      • 9.3.1.2.5. By vertical
  • 9.3.2. UAE AIOps Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Offering
      • 9.3.2.2.2. By Application
      • 9.3.2.2.3. By Deployment
      • 9.3.2.2.4. By Enterprise Size
      • 9.3.2.2.5. By vertical
  • 9.3.3. South Africa AIOps Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Offering
      • 9.3.3.2.2. By Application
      • 9.3.3.2.3. By Deployment
      • 9.3.3.2.4. By Enterprise Size
      • 9.3.3.2.5. By vertical

10. South America AIOps Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Offering
  • 10.2.2. By Application
  • 10.2.3. By Deployment
  • 10.2.4. By Enterprise Size
  • 10.2.5. By vertical
  • 10.2.6. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil AIOps Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Offering
      • 10.3.1.2.2. By Application
      • 10.3.1.2.3. By Deployment
      • 10.3.1.2.4. By Enterprise Size
      • 10.3.1.2.5. By vertical
  • 10.3.2. Colombia AIOps Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Offering
      • 10.3.2.2.2. By Application
      • 10.3.2.2.3. By Deployment
      • 10.3.2.2.4. By Enterprise Size
      • 10.3.2.2.5. By vertical
  • 10.3.3. Argentina AIOps Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Offering
      • 10.3.3.2.2. By Application
      • 10.3.3.2.3. By Deployment
      • 10.3.3.2.4. By Enterprise Size
      • 10.3.3.2.5. By vertical

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends & Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Global AIOps Market: SWOT Analysis

14. Porter's Five Forces Analysis

• 14.1. Competition in the Industry
• 14.2. Potential of New Entrants
• 14.3. Power of Suppliers
• 14.4. Power of Customers
• 14.5. Threat of Substitute Products

15. Competitive Landscape

• 15.1. AppDynamics
  • 15.1.1. Business Overview
  • 15.1.2. Products & Services
  • 15.1.3. Recent Developments
  • 15.1.4. Key Personnel
  • 15.1.5. SWOT Analysis
• 15.2. BMC Software, Inc.
• 15.3. HCL Technologies Limited
• 15.4. International Business Machines Corporation
• 15.5. Micro Focus
• 15.6. Moogsoft Inc.
• 15.7. ProphetStor Data Services, Inc.
• 15.8. Resolve Systems, Splunk Inc.
• 15.9. VMware, Inc.

16. Strategic Recommendations

17. About Us & Disclaimer