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市场调查报告书
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2007769

AIOps平台市场预测至2034年－按交付类型、部署类型、组织规模、应用、最终用户和地区分類的全球分析

AIOps Platforms Market Forecasts to 2034- Global Analysis By Offering (Platform and Services), Deployment Mode, Organization Size, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，预计到 2026 年，全球 AIOps 平台市场规模将达到 146.6 亿美元，在预测期内复合年增长率将达到 24.5%，到 2034 年将达到 846.5 亿美元。

AIOps平台（IT运维的人工智慧）是一种先进的软体解决方案，它利用人工智慧（AI）和机器学习技术来自动化和增强IT运维管理。这些平台能够聚合和分析来自多个IT环境（包括云端、本地和混合系统）的大量数据，从而实现异常检测、问题预测和快速根本原因分析。透过智慧自动化，AIOps平台可以提升系统效能、减少停机时间并简化事件回应。透过提供即时洞察和主动监控，它们可以帮助企业优化营运效率并支援复杂且动态的数位基础设施。

IT环境日益复杂

现代IT环境日益复杂，混合云端、多重云端和本地部署基础设施的兴起，是AIOps平台发展的主要驱动力。企业正在产生大量的结构化和非结构化数据，使得人工监控效率低。 AIOps能够跨多个系统进行智慧关联分析、异常侦测和自动化事件管理。随着数位生态系统的扩展，企业需要先进的工具来确保无缝运​​作、减少停机时间并提高视觉性，从而加速各产业对AIOps解决方案的采用。

与旧有系统整合的复杂性

将AIOps平台与传统IT系统整合仍是限制市场成长的主要因素。许多公司仍然依赖过时的基础设施，这些基础设施与现代AI驱动的工具缺乏相容性。这给数据标准化、系统互通性和部署带来了挑战。此外，整合通常需要大量的时间、成本和技术专长，从而增加了营运负担。企业在过渡阶段可能会面临业务中断，并且往往不愿意在没有清晰有效的迁移策略的情况下采用AIOps解决方案。

IT营运中人工智慧和自动化技术的日益普及

人工智慧 (AI) 和自动化在 IT 维运领域的快速普及为 AIOps 平台带来了巨大的成长机会。企业正日益利用 AI 驱动的工具来提高效率、减少人工干预并增强决策能力。 AIOps 能够实现预测分析、工作流程自动化和更快的事件解决，从而与数位转型计划相契合。随着企业将智慧自动化作为管理复杂基础设施的优先事项，对 AIOps 平台的需求预计将显着增长，从而开闢创新和市场拓展的新途径。

高昂的实施和营运成本

高昂的实施和营运成本对AIOps平台的广泛应用构成重大威胁。实施过程需要对基础设施、软体和专业人员进行大量投资。此外，持续的维护、资料管理和系统升级会进一步增加这些成本。对于中小企业而言，证明这些支出的合理性可能十分困难，并可能限制其市场渗透率。此外，在大规模组织中扩展AIOps解决方案的复杂性也会加剧财务挑战，并减缓其普及速度。

新冠疫情的影响：

新冠疫情加速了数位化技术和远距办公模式的普及，对市场产生了显着影响。在数位化需求激增的情况下，企业面临维护其IT系统可靠性和性能的压力。 AIOps解决方案实现了主动监控、自动化问题解决和增强营运弹性。虽然疫情初期对IT预算和部署造成了衝击，但从长远来看，其影响是积极的，因为企业正在加大对智慧IT运维的投资，以支持分散式环境并确保业务永续营运。

在预测期内，医疗和生命科学领域预计将占据最大的市场份额。

在预测期内，医疗保健和生命科学领域预计将占据最大的市场份额，这主要得益于对数位医疗系统、电子健康记录和互联医疗设备的日益依赖。这些环境会产生大量关键数据，需要即时监控和分析。 AIOps平台有助于确保系统可靠性、资料安全性和营运效率。此外，对不间断医疗服务的需求以及对严格法规的遵守也进一步推动了该领域对AIOps平台的应用。

预计即时分析领域在预测期内将呈现最高的复合年增长率。

在预测期内，即时分析领域预计将呈现最高的成长率，这主要得益于企业对即时洞察和快速决策日益增长的需求。企业需要即时侦测异常情况和效能问题，以最大限度地减少停机时间和业务中断。 AIOps 平台利用即时资料处理来提供可操作的洞察和自动化回应。随着企业在动态 IT 环境中优先考虑敏捷性和应对力，即时分析功能的应用预计将显着扩展。

市占率最大的地区：

在预测期内，北美预计将占据最大的市场份额，这主要得益于该地区主要企业的强大实力、先进的IT基础设施以及对人工智慧驱动解决方案的早期应用。该地区的企业正在增加对数位转型和云端技术的投资，从而为AIOps的采用创造了有利环境。此外，较高的认知度、充足的专业人才以及持续的创新也推动了AIOps平台在各行业的广泛应用。

复合年增长率最高的地区：

在预测期内，亚太地区预计将呈现最高的复合年增长率，这主要得益于快速的数位化、云端运算的日益普及以及新兴经济体IT基础设施的扩张。各国政府和企业正大力投资人工智慧和自动化技术，以提高营运效率。Start-Ups的涌现、互联网普及率的提高以及对可扩展IT解决方案的需求，进一步推动了市场成长。 AIOps平台使该地区的组织能够有效地管理复杂系统，从而加速了其应用。

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目录

第一章执行摘要

  • 市场概览及主要亮点
  • 驱动因素、挑战与机会
  • 竞争格局概述
  • 战略洞察与建议

第二章：研究框架

  • 研究目标和范围
  • 相关人员分析
  • 研究假设和限制
  • 调查方法

第三章 市场动态与趋势分析

  • 市场定义与结构
  • 主要市场驱动因素
  • 市场限制与挑战
  • 投资成长机会和重点领域
  • 产业威胁与风险评估
  • 技术与创新展望
  • 新兴市场/高成长市场
  • 监管和政策环境
  • 新冠疫情的影响及復苏前景

第四章：竞争环境与策略评估

  • 波特五力分析
    • 供应商的议价能力
    • 买方的议价能力
    • 替代品的威胁
    • 新进入者的威胁
    • 竞争公司之间的竞争
  • 主要企业市占率分析
  • 产品基准评效和效能比较

第五章 全球AIOps平台市场：依产品/服务分类

  • 平台
  • 服务

第六章 全球AIOps平台市场：依部署模式划分

  • 现场
  • 云

第七章 全球AIOps平台市场：依组织规模划分

  • 大公司
  • 中小企业

第八章 全球AIOps平台市场：按应用划分

  • 即时分析
  • 基础设施管理
  • 应用效能管理（APM）
  • 网路和安全管理
  • IT 服务管理 (ITSM)
  • 事件检测和根本原因分析
  • 日誌和事件管理

第九章 全球AIOps平台市场：依最终用户划分

  • IT/通讯
  • 医疗保健和生命科学
  • 能源公用事业
  • 媒体与娱乐

第十章 全球AIOps平台市场：按地区划分

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 荷兰
    • 比利时
    • 瑞典
    • 瑞士
    • 波兰
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 泰国
    • 马来西亚
    • 新加坡
    • 越南
    • 其他亚太国家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥伦比亚
    • 智利
    • 秘鲁
    • 其他南美国家
  • 世界其他地区（RoW）
    • 中东
      • 沙乌地阿拉伯
      • 阿拉伯聯合大公国
      • 卡达
      • 以色列
      • 其他中东国家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲国家

第十一章 策略市场资讯

  • 工业价值网络和供应链评估
  • 空白区域和机会地图
  • 产品演进与市场生命週期分析
  • 通路、经销商和打入市场策略的评估

第十二章 产业趋势与策略倡议

  • 併购
  • 伙伴关係、联盟和合资企业
  • 新产品发布和认证
  • 扩大生产能力和投资
  • 其他策略倡议

第十三章：公司简介

  • IBM
  • Dynatrace
  • BMC Software
  • Cisco Systems
  • Splunk
  • ServiceNow
  • Moogsoft
  • BigPanda
  • ScienceLogic
  • Datadog
  • New Relic
  • OpenText
  • Hewlett Packard Enterprise
  • VMware
  • AppDynamics
Product Code: SMRC34641

According to Stratistics MRC, the Global AIOps Platforms Market is accounted for $14.66 billion in 2026 and is expected to reach $84.65 billion by 2034 growing at a CAGR of 24.5% during the forecast period. AIOps Platforms (Artificial Intelligence for IT Operations) are advanced software solutions that leverage artificial intelligence and machine learning to automate and enhance IT operations management. They aggregate and analyze large volumes of data from multiple IT environments, including cloud, on-premises, and hybrid systems, to detect anomalies, predict issues, and enable faster root cause analysis. AIOps platforms improve system performance, reduce downtime, and streamline incident response through intelligent automation. By providing real time insights and proactive monitoring, they help organizations optimize operational efficiency and support complex, dynamic digital infrastructures.

Market Dynamics:

Driver:

Rising complexity of IT environments

The increasing complexity of modern IT environments, driven by hybrid cloud, multi cloud, and on-premises infrastructure, is a major driver for AIOps platforms. Organizations generate vast volumes of structured and unstructured data, making manual monitoring inefficient. AIOps enables intelligent correlation, anomaly detection, and automated incident management across diverse systems. As digital ecosystems expand, enterprises require advanced tools to ensure seamless operations, reduce downtime, and enhance visibility, thereby accelerating the adoption of AIOps solutions across industries.

Restraint:

Integration complexity with legacy systems

Integration of AIOps platforms with legacy IT systems remains a significant restraint for market growth. Many enterprises still rely on outdated infrastructure that lacks compatibility with modern AI-driven tools. This creates challenges in data standardization, system interoperability, and deployment. Additionally, integration often requires substantial time, cost, and technical expertise, increasing operational burdens. Organizations may face disruptions during transition phases, making them hesitant to adopt AIOps solutions without a clear and efficient migration strategy.

Opportunity:

Growing adoption of AI and automation in IT operations

The rapid adoption of artificial intelligence and automation in IT operations presents strong growth opportunities for AIOps platforms. Enterprises are increasingly leveraging AI-driven tools to enhance efficiency, reduce manual intervention, and improve decision-making. AIOps enables predictive analytics, automated workflows, and faster incident resolution, aligning with digital transformation initiatives. As businesses prioritize intelligent automation to manage complex infrastructures, the demand for AIOps platforms is expected to rise significantly, creating new avenues for innovation and market expansion.

Threat:

High implementation and operational costs

High implementation and operational costs pose a significant threat to the widespread adoption of AIOps platforms. Deployment involves substantial investment in infrastructure, software, and skilled personnel. Additionally, ongoing maintenance, data management, and system upgrades further increase costs. Small and medium-sized enterprises may find it difficult to justify these expenses, limiting market penetration. The complexity of scaling AIOps solutions across large organizations also adds to financial challenges, potentially slowing down adoption.

Covid-19 Impact:

The COVID-19 pandemic accelerated the adoption of digital technologies and remote work models, significantly impacting the market. Organizations faced increased pressure to maintain IT system reliability and performance amid surging digital demand. AIOps solutions enabled proactive monitoring, automated issue resolution, and enhanced operational resilience. While initial disruptions affected IT budgets and deployments, the long-term impact has been positive, as enterprises increasingly invest in intelligent IT operations to support distributed environments and ensure business continuity.

The healthcare and life sciences segment is expected to be the largest during the forecast period

The healthcare and life sciences segment is expected to account for the largest market share during the forecast period, due to the growing reliance on digital health systems, electronic medical records, and connected medical devices. These environments generate large volumes of critical data requiring real-time monitoring and analysis. AIOps platforms help ensure system reliability, data security, and operational efficiency. Additionally, the need for uninterrupted healthcare services and compliance with stringent regulations further drives adoption in this sector.

The real time analytics segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the real time analytics segment is predicted to witness the highest growth rate, due to the increasing demand for instant insights and rapid decision-making. Organizations require immediate detection of anomalies and performance issues to minimize downtime and service disruptions. AIOps platforms leverage real-time data processing to deliver actionable insights and automated responses. As businesses prioritize agility and responsiveness in dynamic IT environments, the adoption of real-time analytics capabilities is expected to grow significantly.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to the strong presence of leading technology companies, advanced IT infrastructure, and early adoption of AI-driven solutions. Enterprises in the region invest in digital transformation and cloud technologies, creating a favorable environment for AIOps deployment. Additionally, high awareness, availability of skilled professionals, and continuous innovation contribute to the widespread adoption of AIOps platforms across various industries.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, owing to rapid digitalization, increasing cloud adoption, and expanding IT infrastructure across emerging economies. Governments and enterprises are investing heavily in AI and automation technologies to enhance operational efficiency. The growing number of startups, rising internet penetration, and demand for scalable IT solutions further support market growth. AIOps platforms enable organizations in the region to manage complex systems effectively, driving accelerated adoption.

Key players in the market

Some of the key players in AIOps Platforms Market include IBM, Dynatrace, BMC Software, Cisco Systems, Splunk, ServiceNow, Moogsoft, BigPanda, ScienceLogic, Datadog, New Relic, OpenText, Hewlett Packard Enterprise, VMware and AppDynamics.

Key Developments:

In February 2026, IBM introduced the next-generation autonomous storage portfolio featuring IBM Flash System 5600, 7600, and 9600, powered by agentic AI. The systems automate storage management, improve cyber-resilience, and optimize enterprise data operations, helping organizations manage AI workloads more efficiently. This launch strengthens IBM's hybrid cloud and AI infrastructure ecosystem by reducing manual IT operations and enabling autonomous data storage environments.

In January 2026, IBM partnered with telecom group e& to deploy enterprise-grade agentic AI solutions for governance and regulatory compliance. The collaboration focuses on implementing advanced AI agents capable of automating compliance monitoring, operational decision-making, and enterprise analytics. Announced at the World Economic Forum in Davos, the initiative demonstrates IBM's growing focus on enterprise AI ecosystems.

Offerings Covered:

  • Platform
  • Services

Deployment Modes Covered:

  • On-Premises
  • Cloud

Organization Sizes Covered:

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

Applications Covered:

  • Real Time Analytics
  • Infrastructure Management
  • Application Performance Management (APM)
  • Network and Security Management
  • IT Service Management (ITSM)
  • Incident Detection and Root Cause Analysis
  • Log and Event Management

End Users Covered:

  • IT and Telecom
  • Healthcare and Life Sciences
  • Energy and Utilities
  • Media and Entertainment

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global AIOps Platforms Market, By Offering

  • 5.1 Platform
  • 5.2 Services

6 Global AIOps Platforms Market, By Deployment Mode

  • 6.1 On-Premises
  • 6.2 Cloud

7 Global AIOps Platforms Market, By Organization Size

  • 7.1 Large Enterprises
  • 7.2 Small and Medium-Sized Enterprises (SMEs)

8 Global AIOps Platforms Market, By Application

  • 8.1 Real Time Analytics
  • 8.2 Infrastructure Management
  • 8.3 Application Performance Management (APM)
  • 8.4 Network and Security Management
  • 8.5 IT Service Management (ITSM)
  • 8.6 Incident Detection and Root Cause Analysis
  • 8.7 Log and Event Management

9 Global AIOps Platforms Market, By End User

  • 9.1 IT and Telecom
  • 9.2 Healthcare and Life Sciences
  • 9.3 Energy and Utilities
  • 9.4 Media and Entertainment

10 Global AIOps Platforms Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.11 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.11 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 IBM
  • 13.2 Dynatrace
  • 13.3 BMC Software
  • 13.4 Cisco Systems
  • 13.5 Splunk
  • 13.6 ServiceNow
  • 13.7 Moogsoft
  • 13.8 BigPanda
  • 13.9 ScienceLogic
  • 13.10 Datadog
  • 13.11 New Relic
  • 13.12 OpenText
  • 13.13 Hewlett Packard Enterprise
  • 13.14 VMware
  • 13.15 AppDynamics

List of Tables

  • Table 1 Global AIOps Platforms Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AIOps Platforms Market Outlook, By Offering (2023-2034) ($MN)
  • Table 3 Global AIOps Platforms Market Outlook, By Platform (2023-2034) ($MN)
  • Table 4 Global AIOps Platforms Market Outlook, By Services (2023-2034) ($MN)
  • Table 5 Global AIOps Platforms Market Outlook, By Deployment Mode (2023-2034) ($MN)
  • Table 6 Global AIOps Platforms Market Outlook, By On-Premises (2023-2034) ($MN)
  • Table 7 Global AIOps Platforms Market Outlook, By Cloud (2023-2034) ($MN)
  • Table 8 Global AIOps Platforms Market Outlook, By Organization Size (2023-2034) ($MN)
  • Table 9 Global AIOps Platforms Market Outlook, By Large Enterprises (2023-2034) ($MN)
  • Table 10 Global AIOps Platforms Market Outlook, By Small and Medium-Sized Enterprises (SMEs) (2023-2034) ($MN)
  • Table 11 Global AIOps Platforms Market Outlook, By Application (2023-2034) ($MN)
  • Table 12 Global AIOps Platforms Market Outlook, By Real Time Analytics (2023-2034) ($MN)
  • Table 13 Global AIOps Platforms Market Outlook, By Infrastructure Management (2023-2034) ($MN)
  • Table 14 Global AIOps Platforms Market Outlook, By Application Performance Management (APM) (2023-2034) ($MN)
  • Table 15 Global AIOps Platforms Market Outlook, By Network and Security Management (2023-2034) ($MN)
  • Table 16 Global AIOps Platforms Market Outlook, By IT Service Management (ITSM) (2023-2034) ($MN)
  • Table 17 Global AIOps Platforms Market Outlook, By Incident Detection and Root Cause Analysis (2023-2034) ($MN)
  • Table 18 Global AIOps Platforms Market Outlook, By Log and Event Management (2023-2034) ($MN)
  • Table 19 Global AIOps Platforms Market Outlook, By End User (2023-2034) ($MN)
  • Table 20 Global AIOps Platforms Market Outlook, By IT and Telecom (2023-2034) ($MN)
  • Table 21 Global AIOps Platforms Market Outlook, By Healthcare and Life Sciences (2023-2034) ($MN)
  • Table 22 Global AIOps Platforms Market Outlook, By Energy and Utilities (2023-2034) ($MN)
  • Table 23 Global AIOps Platforms Market Outlook, By Media and Entertainment (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.