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AIOps（協助IT運作的人工智慧）市場預測：按組件、部署類型、組織規模、應用程式、最終用戶和區域的全球分析

Artificial Intelligence for IT Operations (AIOps) Market Forecasts to 2030 - Global Analysis By Component (Solutions, Services and Other Components), Deployment Type, Organization Size, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 預測，2024年全球 AIOps（協助IT運作的人工智慧）市場規模將達到 49.9億美元，預測期內年複合成長率為 29%，預計到2030年將達到 230億美元。

協助IT運作的人工智慧（AIOps）是指使用人工智慧、機器學習和巨量資料分析來增強和自動化IT運作。AIOps平台支援即時資料分析、事件關聯、異常偵測和自動事件回應。AIOps收集和分析大量IT資料，以最佳化系統效能，在問題發生之前進行預測和解決，同時最大限度地減少日益複雜的IT環境中的手動干預，減少停機時間並提高營運效率。

日益採用雲端處理和混合

由於傳統IT管理工具無法處理這種複雜性，雲端處理和混合基礎架構的採用不斷成長，因此AIOps非常重要。AIOps平台利用人工智慧和機器學習來即時處理和分析雲端和本地系統中的資料，以提供可操作的見解、自動化任務並預測潛在問題。這提高了IT運作的效能、可擴展性和效率，隨著組織轉向混合和雲端基礎的基礎設施，增加了對AIOps的需求，推動市場成長。

對AIOps優勢的理解與認知不足

對AIOps的好處的理解和認知有限許多組織，尤其是中小型企業（SME），對AIOps如何提高IT效能、自動化流程和降低營運成本缺乏充分的了解。這種知識的缺乏導致了人們對AIOps解決方案的懷疑和不願意投資。此外，如果沒有清晰的長期投資報酬率，公司就會猶豫是否要採用AIOps，並錯過自動化、效率和競爭優勢的機會。因此，市場成長受到限制。

人們越來越關注網路安全

網路安全威脅變得更加複雜，傳統的安全措施已不足以應對。 AIOps 利用人工智慧和機器學習來偵測異常、預測潛在違規並自動回應，以提高網路安全並加快事件解決速度。 AIOps 透過即時分析大量安全資料，幫助企業主動防禦攻擊、提高威脅可見度並增強整體安全態勢。

快速的技術創新

快速的技術創新以及新演算法、工具和平台的頻繁引進使得企業很難保持 AIOps 解決方案的最新狀態。供應商必須在研發方面投入大量資金才能保持競爭力，而這可能會佔用大量資源。此外，快速變化可能會導致與現有 IT 系統的互通性問題，並增加整合和部署的複雜性。這種動態也會讓小型供應商不知所措，並給潛在買家帶來不確定性。

COVID-19 的影響

由於遠距工作和線上活動活性化，企業增加了對數位基礎設施的依賴，COVID-19大流行加速了AIOps的採用。IT工作負載的激增和複雜性增加了對自動化解決方案的需求，以確保營運連續性和效率。AIOps已成為管理雲端環境、最佳化系統效能和主動解決問題的關鍵。然而，由於經濟前景的不確定性，一些投資尤其是中小企業的投資被推遲，這對整體市場的成長軌跡產生了不同程度的影響。

在預測期內，服務業預計將是最大的。

透過為AIOps解決方案的實施、整合和持續管理提供必要的支持，服務業預計將出現良好的成長。諮詢服務可協助企業評估其需求並設計適合其需求的AIOps策略，確保有效部署。託管服務透過對AIOps平台進行持續監控、維護和最佳化來提高營運效率。隨著組織擴大尋求最大限度地發揮AIOps的優勢，對專業服務的需求推動市場的成長和採用。

政府部門預計在預測期內年複合成長率最高

由於擴大採用人工智慧驅動的解決方案來提高公共服務的效率和回應能力，預計政府部門在預測期內將以最高的年複合成長率成長。政府使用AIOps來監控IT基礎設施、最佳化資源分配並改善網路安全措施。此外，政府法規和人工智慧研發資金為AIOps的採用創造了有利的環境，導致投資增加以及與私人供應商的合作，推動市場成長。

佔有率最大的地區

由於各行業擴大採用數位轉型舉措，預計亞太地區在預測期內將佔據最大的市場佔有率。中國、印度和日本等國家對雲端運算、巨量資料和人工智慧技術進行大量投資，使其IT更有效率和敏捷。IT環境日益複雜以及主動事件管理的需求進一步推動了對AIOps解決方案的需求。此外，政府對人工智慧創新和智慧城市計畫的支持加速市場成長，使亞太地區成為人工智慧營運領域的關鍵參與者。

年複合成長率最高的地區：

由於大型科技公司和廣泛的IT基礎設施的存在，預計北美在預測期內將出現最高的年複合成長率。雲端處理、巨量資料分析和數位轉型舉措的高採用率推動尋求最佳化營運和增強服務交付的企業對AIOps解決方案的需求。此外，不斷增加的網路威脅和監管合規要求推動企業投資AIOps，以提高安全性和營運效率。該地區對創新和技術整合的關注使其成為全球 AIOps 市場的關鍵參與者。

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目錄

第1章 執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二次研究資訊來源
    • 先決條件

第3章 市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19 的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章 AIOps（協助IT運作的人工智慧）的全球市場：依組成部分

  • 解決方案
    • 機器學習
    • 自然語言處理（NLP）
    • 資料分析
  • 服務
    • 諮詢
    • 執行
    • 支援與維護
  • 其他組件

第6章 AIOps（協助IT運作的人工智慧）的全球市場：依部署類型

  • 本地
  • 雲端基礎
  • 其他部署類型

第7章 AIOps（協助IT運作的人工智慧）的全球市場：依組織規模

  • 小型企業
  • 主要企業
  • 其他組織規模

第8章 AIOps（協助IT運作的人工智慧）的全球市場：依應用分類

  • 事件管理
  • 績效監控
  • 根本原因分析
  • 變革管理
  • 預測分析
  • 其他用途

第9章 AIOps（協助IT運作的人工智慧）全球市場：依最終用戶分類

  • 資訊科技和通訊
  • 銀行、金融服務和保險
  • 衛生保健
  • 零售
  • 製造業
  • 政府
  • 其他最終用戶

第10章 AIOps（協助IT運作的人工智慧）的全球市場：依地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東、非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲

第11章 主要進展

  • 合約、夥伴關係、合作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第12章 公司概況

  • AppDynamics
  • DataDog
  • BigPanda
  • New Relic
  • IBM Instana
  • Moogsoft
  • Dynatrace
  • LogicMonitor
  • Splunk
  • BMC
  • PagerDuty
  • ScienceLogic
  • Zabbix
  • Elastic
  • Cisco
  • Sumo Logic
  • Servicenow
  • Freshservice
  • CloudHealth
  • OpsRamp
Product Code: SMRC27579

According to Stratistics MRC, the Global Artificial Intelligence for IT Operations (AIOPS) Market is accounted for $4.99 billion in 2024 and is expected to reach $23.00 billion by 2030 growing at a CAGR of 29% during the forecast period. Artificial Intelligence for IT Operations (AIOps) refers to the use of artificial intelligence, machine learning, and big data analytics to enhance and automate IT operations. AIOps platforms enable real-time data analysis, event correlation, anomaly detection, and automated incident response. By collecting and analyzing vast amounts of IT data, AIOps helps organizations optimize system performance, predict and resolve issues proactively, reduce downtime, and improve operational efficiency, all while minimizing manual intervention in increasingly complex IT environments.

Market Dynamics:

Driver:

Growing adoption of cloud computing and hybrid infrastructures

The growing adoption of cloud computing and hybrid infrastructures is because traditional IT management tools struggle to handle this complexity, making AIOps essential. AIOps platforms leverage AI and machine learning to process and analyze data across cloud and on-premises systems in real-time, providing actionable insights, automating tasks, and predicting potential issues. This enhances the performance, scalability, and efficiency of IT operations, driving the demand for AIOps as organizations transition to hybrid and cloud-based infrastructures, fuelling the growth of the market.

Restraint:

Limited understanding and awareness of AIOps benefits

Limited understanding and awareness of AIOps benefits many organizations, particularly small and medium-sized enterprises (SMEs), may not fully grasp how AIOps can enhance IT performance, automate processes, and reduce operational costs. This lack of knowledge creates scepticism and reluctance to invest in AIOps solutions. Additionally, without clear visibility into the long-term ROI, businesses may hesitate to adopt AIOps, leading to missed opportunities for automation, efficiency gains, and competitive advantage. Consequently, market growth is constrained.

Opportunity:

Increased focus on cybersecurity

The cybersecurity threats grow in complexity, traditional security measures struggle to keep pace. AIOps enhances cybersecurity by leveraging AI and machine learning to detect anomalies, predict potential breaches, and automate responses, ensuring faster incident resolution. By analyzing vast amounts of security data in real-time, AIOps helps organizations proactively defend against attacks, improve threat visibility, and strengthen their overall security posture, accelerating the adoption of AIOps solutions.

Threat:

Rapid technological change

Rapid technological change and new algorithms, tools, and platforms are frequently introduced, making it difficult for companies to maintain up-to-date AIOps solutions. Vendors need to invest heavily in R&D to stay competitive, which can be resource-intensive. Additionally, rapid changes may lead to interoperability issues with existing IT systems, increasing the complexity of integration and adoption. These dynamics can also overwhelm smaller vendors and create uncertainty for potential buyers.

Covid-19 Impact

The COVID-19 pandemic accelerated the adoption of AIOps as businesses increasingly relied on digital infrastructures due to remote work and heightened online activity. The surge in IT workloads and complexity drove demand for automated solutions to ensure operational continuity and efficiency. AIOps became essential for managing cloud environments, optimizing system performance, and resolving issues proactively. However, economic uncertainty delayed some investments, particularly in small to mid-sized businesses, creating mixed effects on the market's overall growth trajectory.

The services segment is expected to be the largest during the forecast period

The services segment is estimated to have a lucrative growth, by providing essential support for implementation, integration, and ongoing management of AIOps solutions. Consulting services help organizations assess their needs and design tailored AIOps strategies, ensuring effective deployment. Managed services enhance operational efficiency by offering continuous monitoring, maintenance, and optimization of AIOps platforms. As organizations increasingly seek to maximize the benefits of AIOps, the demand for specialized services drives market growth and adoption.

The government segment is expected to have the highest CAGR during the forecast period

The government segment is anticipated to witness the highest CAGR growth during the forecast period, due to increased adoption AI-driven solutions to enhance efficiency and responsiveness in public services. Governments utilize AIOps for monitoring IT infrastructure, optimizing resource allocation, and improving cybersecurity measures. Additionally, government regulations and funding for AI research and development create a favourable environment for AIOps adoption, leading to increased investments and collaboration with private sector vendors, thereby driving market growth.

Region with largest share:

Asia Pacific is projected to hold the largest market share during the forecast period driven by the increasing adoption of digital transformation initiatives across various industries. Countries like China, India, and Japan are witnessing significant investments in cloud computing, big data, and AI technologies, which enhance IT efficiency and agility. The rising complexity of IT environments and the need for proactive incident management further fuel demand for AIOps solutions. Additionally, government support for AI innovation and smart city initiatives is accelerating market growth, positioning Asia Pacific as a key player in the AIOps landscape.

Region with highest CAGR:

North America is projected to have the highest CAGR over the forecast period, owing to the presence of leading technology companies and extensive IT infrastructure. High adoption rates of cloud computing, big data analytics, and digital transformation initiatives fuel demand for AIOps solutions among enterprises seeking to optimize operations and enhance service delivery. Additionally, increasing cyber threats and regulatory compliance requirements prompt organizations to invest in AIOps for improved security and operational efficiency. The region's focus on innovation and technology integration positions it as a key player in the global AIOps market.

Key players in the market

Some of the key players profiled in the Artificial Intelligence for IT Operations (AIOps) Market include AppDynamics , DataDog, BigPanda, New Relic, IBM Instana, Moogsoft, Dynatrace, LogicMonitor, Splunk, BMC, PagerDuty, ScienceLogic, Zabbix, Elastic, Cisco, Sumo Logic, Servicenow, Freshservice, CloudHealth and OpsRamp.

Key Developments:

In August 2024, Dynatrace partnered with Google Cloud to enhance observability solutions for customers, leveraging Google Cloud's infrastructure and AI capabilities to improve application performance and user experiences.

In June 2023, DataDog announced a partnership with Snowflake to enhance observability and security for cloud applications. This integration enables users to analyze DataDog data alongside their Snowflake data, providing deeper insights into performance and security.

In March 2023, DataDog introduced Security Monitoring, a new product designed to enhance threat detection and incident response capabilities within its observability platform, enabling organizations to monitor and respond to security threats in real-time.

Components Covered:

  • Solutions
  • Services
  • Other Components

Deployment Types Covered:

  • On-Premises
  • Cloud-Based
  • Other Deployment Types

Organization Sizes Covered:

  • Small and Medium-Sized Enterprises (SMEs)
  • Large Enterprises
  • Other Organization Sizes

Applications Covered:

  • Incident Management
  • Performance Monitoring
  • Root Cause Analysis
  • Change Management
  • Predictive Analytics
  • Other Applications

End Users Covered:

  • IT and Telecommunications
  • Banking, Financial Services, and Insurance
  • Healthcare
  • Retail
  • Manufacturing
  • Government
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & 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 2022, 2023, 2024, 2026, and 2030
  • 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

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Artificial Intelligence for IT Operations (AIOps) Market, By Component

  • 5.1 Introduction
  • 5.2 Solutions
    • 5.2.1 Machine Learning
    • 5.2.2 Natural Language Processing (NLP)
    • 5.2.3 Data Analytics
  • 5.3 Services
    • 5.3.1 Consulting
    • 5.3.2 Implementation
    • 5.3.3 Support and Maintenance
  • 5.4 Other Components

6 Global Artificial Intelligence for IT Operations (AIOps) Market, By Deployment Type

  • 6.1 Introduction
  • 6.2 On-Premises
  • 6.3 Cloud-Based
  • 6.4 Other Deployment Types

7 Global Artificial Intelligence for IT Operations (AIOps) Market, By Organization Size

  • 7.1 Introduction
  • 7.2 Small and Medium-Sized Enterprises (SMEs)
  • 7.3 Large Enterprises
  • 7.4 Other Organization Sizes

8 Global Artificial Intelligence for IT Operations (AIOps) Market, By Application

  • 8.1 Introduction
  • 8.2 Incident Management
  • 8.3 Performance Monitoring
  • 8.4 Root Cause Analysis
  • 8.5 Change Management
  • 8.6 Predictive Analytics
  • 8.7 Other Applications

9 Global Artificial Intelligence for IT Operations (AIOps) Market, By End User

  • 9.1 Introduction
  • 9.2 IT and Telecommunications
  • 9.3 Banking, Financial Services, and Insurance
  • 9.4 Healthcare
  • 9.5 Retail
  • 9.6 Manufacturing
  • 9.7 Government
  • 9.8 Other End Users

10 Global Artificial Intelligence for IT Operations (AIOps) Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 AppDynamics
  • 12.2 DataDog
  • 12.3 BigPanda
  • 12.4 New Relic
  • 12.5 IBM Instana
  • 12.6 Moogsoft
  • 12.7 Dynatrace
  • 12.8 LogicMonitor
  • 12.9 Splunk
  • 12.10 BMC
  • 12.11 PagerDuty
  • 12.12 ScienceLogic
  • 12.13 Zabbix
  • 12.14 Elastic
  • 12.15 Cisco
  • 12.16 Sumo Logic
  • 12.17 Servicenow
  • 12.18 Freshservice
  • 12.19 CloudHealth
  • 12.20 OpsRamp

List of Tables

  • Table 1 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Component (2022-2030) ($MN)
  • Table 3 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Solutions (2022-2030) ($MN)
  • Table 4 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Machine Learning (2022-2030) ($MN)
  • Table 5 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Natural Language Processing (NLP) (2022-2030) ($MN)
  • Table 6 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Data Analytics (2022-2030) ($MN)
  • Table 7 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Services (2022-2030) ($MN)
  • Table 8 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Consulting (2022-2030) ($MN)
  • Table 9 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Implementation (2022-2030) ($MN)
  • Table 10 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Support and Maintenance (2022-2030) ($MN)
  • Table 11 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Other Components (2022-2030) ($MN)
  • Table 12 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Deployment Type (2022-2030) ($MN)
  • Table 13 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By On-Premises (2022-2030) ($MN)
  • Table 14 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Cloud-Based (2022-2030) ($MN)
  • Table 15 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Other Deployment Types (2022-2030) ($MN)
  • Table 16 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Organization Size (2022-2030) ($MN)
  • Table 17 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Small and Medium-Sized Enterprises (SMEs) (2022-2030) ($MN)
  • Table 18 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Large Enterprises (2022-2030) ($MN)
  • Table 19 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Other Organization Sizes (2022-2030) ($MN)
  • Table 20 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Application (2022-2030) ($MN)
  • Table 21 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Incident Management (2022-2030) ($MN)
  • Table 22 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Performance Monitoring (2022-2030) ($MN)
  • Table 23 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Root Cause Analysis (2022-2030) ($MN)
  • Table 24 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Change Management (2022-2030) ($MN)
  • Table 25 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Predictive Analytics (2022-2030) ($MN)
  • Table 26 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 27 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By End User (2022-2030) ($MN)
  • Table 28 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By IT and Telecommunications (2022-2030) ($MN)
  • Table 29 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Banking, Financial Services, and Insurance (2022-2030) ($MN)
  • Table 30 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Healthcare (2022-2030) ($MN)
  • Table 31 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Retail (2022-2030) ($MN)
  • Table 32 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Manufacturing (2022-2030) ($MN)
  • Table 33 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Government (2022-2030) ($MN)
  • Table 34 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Other End Users (2022-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.