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市場調查報告書
商品編碼
2007769

AIOps平台市場預測至2034年－按交付類型、部署類型、組織規模、應用、最終用戶和地區分類的全球分析

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個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球 AIOps 平台市場規模將達到 146.6 億美元，在預測期內複合年成長率將達到 24.5%，到 2034 年將達到 846.5 億美元。

AIOps平台（IT運維的人工智慧）是一種先進的軟體解決方案，它利用人工智慧（AI）和機器學習技術來自動化和增強IT運維管理。這些平台能夠聚合和分析來自多個IT環境（包括雲端、本地和混合系統）的大量數據，從而實現異常檢測、問題預測和快速根本原因分析。透過智慧自動化，AIOps平台可以提升系統效能、減少停機時間並簡化事件回應。透過提供即時洞察和主動監控，它們可以幫助企業最佳化營運效率並支援複雜且動態的數位基礎設施。

IT環境日益複雜

現代IT環境日益複雜，混合雲端、多重雲端和本地部署基礎設施的興起，是AIOps平台發展的主要驅動力。企業正在產生大量的結構化和非結構化數據，使得人工監控效率低。 AIOps能夠跨多個系統進行智慧關聯分析、異常偵測和自動化事件管理。隨著數位生態系統的擴展，企業需要先進的工具來確保無縫運​​作、減少停機時間並提高視覺性，從而加速各產業對AIOps解決方案的採用。

與舊有系統整合的複雜性

將AIOps平台與傳統IT系統整合仍是限制市場成長的主要因素。許多公司仍然依賴過時的基礎設施，這些基礎設施與現代AI驅動的工具缺乏相容性。這給數據標準化、系統互通性和部署帶來了挑戰。此外，整合通常需要大量的時間、成本和技術專長，從而增加了營運負擔。企業在過渡階段可能會面臨業務中斷，並且往往不願意在沒有清晰有效的遷移策略的情況下採用AIOps解決方案。

IT營運中人工智慧和自動化技術的日益普及

人工智慧 (AI) 和自動化在 IT 維運領域的快速普及為 AIOps 平台帶來了巨大的成長機會。企業正日益利用 AI 驅動的工具來提高效率、減少人工干預並增強決策能力。 AIOps 能夠實現預測分析、工作流程自動化和更快的事件解決，從而與數位轉型計劃相契合。隨著企業將智慧自動化作為管理複雜基礎設施的優先事項，對 AIOps 平台的需求預計將顯著成長，從而開闢創新和市場拓展的新途徑。

高昂的實施和營運成本

高昂的實施和營運成本對AIOps平台的廣泛應用構成重大威脅。實施過程需要對基礎設施、軟體和專業人員進行大量投資。此外，持續的維護、資料管理和系統升級會進一步增加這些成本。對於中小企業而言，證明這些支出的合理性可能十分困難，並可能限制其市場滲透率。此外，在大規模組織中擴展AIOps解決方案的複雜性也會加劇財務挑戰，並減緩其普及速度。

新冠疫情的影響：

新冠疫情加速了數位化技術和遠距辦公模式的普及，對市場產生了顯著影響。在數位化需求激增的情況下，企業面臨維護其IT系統可靠性和性能的壓力。 AIOps解決方案實現了主動監控、自動化問題解決和增強營運彈性。雖然疫情初期對IT預算和部署造成了衝擊，但從長遠來看，其影響是積極的，因為企業正在加大對智慧IT運維的投資，以支持分散式環境並確保業務永續營運。

在預測期內，醫療和生命科學領域預計將佔據最大的市場佔有率。

在預測期內，醫療保健和生命科學領域預計將佔據最大的市場佔有率，這主要得益於對數位醫療系統、電子健康記錄和互聯醫療設備的日益依賴。這些環境會產生大量關鍵數據，需要即時監控和分析。 AIOps平台有助於確保系統可靠性、資料安全性和營運效率。此外，對不間斷醫療服務的需求以及對嚴格法規的遵守也進一步推動了該領域對AIOps平台的應用。

預計即時分析領域在預測期內將呈現最高的複合年成長率。

在預測期內，即時分析領域預計將呈現最高的成長率，這主要得益於企業對即時洞察和快速決策日益成長的需求。企業需要即時偵測異常情況和效能問題，以最大限度地減少停機時間和業務中斷。 AIOps 平台利用即時資料處理來提供可操作的洞察和自動化回應。隨著企業在動態 IT 環境中優先考慮敏捷性和應對力，即時分析功能的應用預計將顯著擴展。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這主要得益於該地區主要企業的強大實力、先進的IT基礎設施以及對人工智慧驅動解決方案的早期應用。該地區的企業正在增加對數位轉型和雲端技術的投資，從而為AIOps的採用創造了有利環境。此外，較高的認知度、充足的專業人才以及持續的創新也推動了AIOps平台在各行業的廣泛應用。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於快速的數位化、雲端運算的日益普及以及新興經濟體IT基礎設施的擴張。各國政府和企業正大力投資人工智慧和自動化技術，以提高營運效率。Start-Ups的湧現、網際網路普及率的提高以及對可擴展IT解決方案的需求，進一步推動了市場成長。 AIOps平台使該地區的組織能夠有效地管理複雜系統，從而加速了其應用。

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  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對主要企業進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要企業市佔率分析
  • 產品基準評效和效能比較

第5章 全球AIOps平台市場：依產品/服務分類

  • 平台
  • 服務

第6章 全球AIOps平台市場：依部署模式分類

  • 現場
  • 雲

第7章 全球AIOps平台市場：依組織規模分類

  • 主要企業
  • 中小企業

第8章 全球AIOps平台市場：按應用分類

  • 即時分析
  • 基礎設施管理
  • 應用效能管理（APM）
  • 網路和安全管理
  • IT 服務管理 (ITSM)
  • 事件檢測和根本原因分析
  • 日誌和事件管理

第9章 全球AIOps平台市場：依最終用戶分類

  • IT/通訊
  • 醫療保健和生命科學
  • 能源公用事業
  • 媒體與娛樂

第10章 全球AIOps平台市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第11章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第12章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第13章：公司簡介

  • 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.