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市場調查報告書
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1678056

AIOps 市場規模、佔有率及成長分析(按產品、部署模式、應用、垂直領域和地區)-2025 年至 2032 年產業預測

AIOps Market Size, Share, and Growth Analysis, By Offering (Platform, Domain-Centric), By Deployment Mode (On-Premises, Cloud), By Application, By Vertical, By Region - Industry Forecast 2025-2032

出版日期: | 出版商: SkyQuest | 英文 195 Pages | 商品交期: 3-5個工作天內

價格
簡介目錄

預計到 2023 年全球 AIOps 市場規模將達到 115.9 億美元,到 2024 年將達到 140.4 億美元,到 2032 年將達到 649.2 億美元,預測期內(2025-2032 年)的複合年成長率為 21.1%。

在數位轉型和雲端原生架構的推動下,全球 AIOps 市場正在不斷發展,以因應 IT 管理和工業營運日益複雜的變化。這一成長的關鍵促進因素是IT基礎設施基礎設施產生的資料量和種類的急劇成長,這需要使用人工智慧和機器學習演算法來分析和關聯來自多個來源的資料。 AIOps 讓 IT 團隊能夠從被動方式轉變為主動解決問題,從而使營運更加靈活和高效。 AIOps 可以自動執行監控和事件管理等繁瑣的流程,讓 IT負責人專注於策略計畫。透過即時了解系統效能,企業可以快速識別和解決問題,最大限度地減少停機時間並最大限度地提高資源利用率,尤其是在複雜的混合和多重雲端環境中。

目錄

介紹

  • 調查目的
  • 研究範圍
  • 定義

調查方法

  • 資訊採購
  • 二次資料和一次資料方法
  • 市場規模預測
  • 市場假設與限制

執行摘要

  • 全球市場展望
  • 供需趨勢分析
  • 細分機會分析

市場動態與展望

  • 市場概覽
  • 市場規模
  • 市場動態
    • 促進因素和機會
    • 限制與挑戰
  • 波特的分析

關鍵市場考察

  • 關鍵成功因素
  • 競爭程度
  • 主要投資機會
  • 市場生態系統
  • 市場吸引力指數(2024年)
  • PESTEL分析
  • 總體經濟指標
  • 價值鏈分析
  • 定價分析
  • 技術進步

AIOps 市場規模:依供應量及複合年成長率(2025-2032)

  • 市場概覽
  • 平台
    • 以領域為中心
    • 以監控為中心的AIOps
    • 以ITSM為中心的AIOps
    • 以資料湖為中心的AIOps
    • 領域獨立
  • 服務
    • 專業服務
    • 實施服務
    • 許可和維護服務
    • 培訓和教育服務
    • 諮詢服務
    • 託管服務
    • 主機服務
    • 託管雲端服務
    • 資安管理服務
    • 託管自動化服務

AIOps 市場規模(按部署模式和複合年成長率) (2025-2032)

  • 市場概覽
  • 本地
    • 公共雲端
    • 私有雲端
    • 混合雲端

AIOps 市場規模:依應用與複合年成長率(2025-2032)

  • 市場概覽
  • 基礎設施管理
    • 異常檢測和根本原因分析
    • 自動化事件管理
    • 容量規劃與最佳化
    • 效能監控和最佳化
    • 伺服器監控與管理
    • 儲存監控和管理
    • 應用程式效能監控
    • 網路監控
  • ITSM
    • 服務等級管理
    • 配置管理
    • 可操作情報
    • IT資產管理
    • 服務台自動化(聊天機器人)
  • 安全和事件管理
  • 安全事件和事件管理 (SIEM)
  • 威脅情報與偵測
  • 安全自動化和編配
  • 安全事件關聯
  • 使用者和實體行為分析
  • 漏洞管理

AIOps 市場規模:以產業和複合年成長率(2025-2032)

  • 市場概覽
  • BFSI
  • 零售與電子商務
  • 運輸和物流
  • 政府和國防
  • 醫療保健和生命科學
  • 通訊
  • 能源與公共產業
  • 製造業
  • IT/ITeS
  • 媒體和娛樂
  • 其他行業

AIOps 市場規模:按地區和複合年成長率(2025-2032)

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 德國
    • 西班牙
    • 法國
    • 英國
    • 義大利
    • 其他歐洲國家地區
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 其他亞太地區
  • 拉丁美洲
    • 巴西
    • 其他拉丁美洲
  • 中東和非洲
    • 海灣合作理事會國家
    • 南非
    • 其他中東和非洲地區

競爭資訊

  • 前五大公司對比
  • 主要企業市場定位(2024年)
  • 主要市場參與者所採取的策略
  • 近期市場趨勢
  • 公司市場佔有率分析(2024年)
  • 主要企業簡介
    • 公司詳情
    • 產品系列分析
    • 公司分部佔有率分析
    • 收益與前一年同期比較對比(2022-2024 年)

主要企業簡介

  • ServiceNow(United States)
  • ScienceLogic(United States)
  • BigPanda(United States)
  • Amelia(United States)
  • Nastel Technologies(United States)
  • Selector Software(United States)
  • New Relic(United States)
  • Elastic(United States)
  • Datadog(United States)
  • IBM(United States)
  • BMC Software(United States)
  • Micro Focus(United Kingdom)
  • PagerDuty(United States)
  • SolarWinds(United States)
  • Zenoss(United States)

結論和建議

簡介目錄
Product Code: SQMIG45J2285

Global AIOps Market size was valued at USD 11.59 billion in 2023 and is poised to grow from USD 14.04 billion in 2024 to USD 64.92 billion by 2032, growing at a CAGR of 21.1% during the forecast period (2025-2032).

The global AIOps market is evolving in response to the increasing complexity of IT management and industrial operations, driven by digital transformation and cloud-native architectures. This growth is primarily fueled by the soaring volume and variety of data generated by IT infrastructure, necessitating the use of AI and machine learning algorithms to analyze and correlate data from multiple sources. AIOps empowers IT teams to shift from reactive approaches to proactive problem-solving, enhancing operational agility and efficiency. By automating tedious processes such as monitoring and incident management, AIOps allows IT professionals to devote their time to strategic initiatives. With real-time insights into system performance, organizations can identify and address issues swiftly, thereby minimizing downtime and maximizing resource utilization, especially within increasingly complex hybrid and multi-cloud environments.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Aiops market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets 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.

Global Aiops Market Segments Analysis

Global AIOps Market is segmented by Offering, Deployment Mode, Application, Vertical and region. Based on Offering, the market is segmented into Platform, Domain-Centric, Domain-Agnostic and Services. Based on Deployment Mode, the market is segmented into On-Premises and Cloud. Based on Application, the market is segmented into Infrastructure Management, ITSM, 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 and Vulnerability Management. Based on Vertical, the market is segmented into BFSI, Retail & eCommerce, Transportation and Logistics, Government & Defense, Healthcare & Life Sciences, Telecom, Energy & Utilities, Manufacturing, IT/ITeS, Media & Entertainment and Other Verticals. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global Aiops Market

The Global AIOps market is significantly driven by the growing complexity of IT infrastructures, particularly as organizations adopt hybrid and multi-cloud environments. These intricate setups often pose challenges in managing performance and availability effectively. AIOps plays a crucial role in addressing these challenges by automating processes, providing predictive insights, and proactively resolving issues. This enables IT teams to efficiently manage vast amounts of data, ensuring smooth operations and reducing downtime across various systems. As the demand for streamlined IT solutions increases, AIOps emerges as a vital tool to enhance operational efficiency and maintain optimal performance in complex environments.

Restraints in the Global Aiops Market

The global AIOps market faces significant constraints due to the requirement for extensive data collection involving sensitive information to effectively integrate AI and machine learning technologies. This dependency heightens concerns related to privacy, the potential for data security breaches, and adherence to regulatory frameworks like the General Data Protection Regulation (GDPR). Such challenges create barriers to the widespread adoption of AIOps, particularly among organizations that operate in heavily regulated industries. Consequently, companies must navigate these complexities to ensure compliance while trying to leverage the benefits offered by AIOps solutions, thereby hindering their ability to fully capitalize on market opportunities.

Market Trends of the Global Aiops Market

The Global AIOps market is witnessing a significant trend towards the growing adoption of cloud-based solutions, driven by their ability to enhance IT operations through increased scalability, flexibility, and cost efficiency. As businesses increasingly rely on real-time analytics, predictive insights, and automation, cloud-based AIOps tools enable organizations to optimize performance, minimize downtime, and achieve seamless IT management. This strategic shift is essential across diverse industries, as companies look to leverage advanced technologies for data-driven decision-making and operational efficiency. Consequently, the demand for cloud-integrated AIOps solutions is expected to continue its upward trajectory, reshaping IT landscapes globally.

Table of Contents

Introduction

  • Objectives of the Study
  • Scope of the Report
  • Definitions

Research Methodology

  • Information Procurement
  • Secondary & Primary Data Methods
  • Market Size Estimation
  • Market Assumptions & Limitations

Executive Summary

  • Global Market Outlook
  • Supply & Demand Trend Analysis
  • Segmental Opportunity Analysis

Market Dynamics & Outlook

  • Market Overview
  • Market Size
  • Market Dynamics
    • Drivers & Opportunities
    • Restraints & Challenges
  • Porters Analysis
    • Competitive rivalry
    • Threat of substitute
    • Bargaining power of buyers
    • Threat of new entrants
    • Bargaining power of suppliers

Key Market Insights

  • Key Success Factors
  • Degree of Competition
  • Top Investment Pockets
  • Market Ecosystem
  • Market Attractiveness Index, 2024
  • PESTEL Analysis
  • Macro-Economic Indicators
  • Value Chain Analysis
  • Pricing Analysis
  • Technological Advancement

Global AIOps Market Size by Offering & CAGR (2025-2032)

  • Market Overview
  • Platform
    • Domain-Centric
    • Monitoring-centric AIOps
    • ITSM centric-AIOps
    • Data-Lake centric-AIOps
    • Domain-Agnostic
  • 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

Global AIOps Market Size by Deployment Mode & CAGR (2025-2032)

  • Market Overview
  • On-Premises
  • Cloud
    • Public Cloud
    • Private Cloud
    • Hybrid Cloud

Global AIOps Market Size by Application & CAGR (2025-2032)

  • Market Overview
  • Infrastructure Management
    • 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

Global AIOps Market Size by Vertical & CAGR (2025-2032)

  • Market Overview
  • BFSI
  • Retail & eCommerce
  • Transportation and Logistics
  • Government & Defense
  • Healthcare & Life Sciences
  • Telecom
  • Energy & Utilities
  • Manufacturing
  • IT/ITeS
  • Media & Entertainment
  • Other Verticals

Global AIOps Market Size & CAGR (2025-2032)

  • North America (Offering, Deployment Mode, Application, Vertical)
    • US
    • Canada
  • Europe (Offering, Deployment Mode, Application, Vertical)
    • Germany
    • Spain
    • France
    • UK
    • Italy
    • Rest of Europe
  • Asia Pacific (Offering, Deployment Mode, Application, Vertical)
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia-Pacific
  • Latin America (Offering, Deployment Mode, Application, Vertical)
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (Offering, Deployment Mode, Application, Vertical)
    • GCC Countries
    • South Africa
    • Rest of Middle East & Africa

Competitive Intelligence

  • Top 5 Player Comparison
  • Market Positioning of Key Players, 2024
  • Strategies Adopted by Key Market Players
  • Recent Developments in the Market
  • Company Market Share Analysis, 2024
  • Company Profiles of All Key Players
    • Company Details
    • Product Portfolio Analysis
    • Company's Segmental Share Analysis
    • Revenue Y-O-Y Comparison (2022-2024)

Key Company Profiles

  • ServiceNow (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • ScienceLogic (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • BigPanda (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Amelia (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Nastel Technologies (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Selector Software (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • New Relic (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Elastic (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Datadog (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • IBM (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • BMC Software (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Micro Focus (United Kingdom)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • PagerDuty (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • SolarWinds (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Zenoss (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments

Conclusion & Recommendations