人工智慧 IT 营运平台市场规模、份额和成长分析（按产品、应用、类型、组织规模、垂直产业和地区）- 2025-2032 年产业预测

2023 年 IT 营运平台人工智慧市场规模价值 108 亿美元，预计将从 2024 年的 128.3 亿美元成长到 2032 年的 509.1 亿美元，预测期内（2025-2032 年）的复合年增长率为 18.8%。

受人工智慧技术进步和日益复杂的IT基础设施的推动，IT营运平台的人工智慧（AI）市场预计将大幅成长。随着各行各业优先考虑效率和生产力，这些人工智慧平台的采用预计将激增。利用机器学习，这些平台可以快速分析大量资料并提供可操作的见解，使企业能够主动解决问题、提高生产力，同时最大限度地减少停机时间。资料量的不断增加、快速故障排除的需求以及对IT安全的日益关注进一步增强了市场潜力。此外，云端处理和强数位化的兴起凸显了人工智慧在IT基础设施中的关键作用。公司还应考虑将预测分析整合到这些平台中，以获得长期策略优势。

目录

介绍

• 调查目的
• 研究范围
• 定义

调查方法

• 资讯采购
• 次要和主要资料方法
• 市场规模预测
• 市场假设与限制

执行摘要

• 全球市场展望
• 供需趋势分析
• 细分机会分析

市场动态及展望

• 市场概况
• 市场规模
• 市场动态
  • 驱动因素和机会
  • 限制与挑战
• 波特的分析

主要市场考察

• 关键成功因素
• 竞争程度
• 主要投资机会
• 市场生态系统
• 市场吸引力指数（2024 年）
• PESTEL 分析
• 总体经济指标
• 价值链分析
• 定价分析

人工智慧 IT 营运平台市场规模（按产品和复合年增长率） (2025-2032)

• 市场概况
• 平台
• 服务

人工智慧 IT 营运平台市场规模（按应用和复合年增长率） (2025-2032)

• 市场概况
• 基础设施管理
• 应用程式效能分析
• 即时分析
• 网路和安全管理
• 其他的

人工智慧 IT 营运平台市场规模（按类型和复合年增长率） (2025-2032)

• 市场概况
• 云
• 本地

依组织规模和复合年增长率分類的 IT 营运平台人工智慧市场规模（2025-2032 年）

• 市场概况
• 大型企业
• 中小型企业

人工智慧 IT 营运平台市场规模（按垂直产业划分）及复合年增长率（2025-2032 年）

• 市场概况
• 资讯科技和通讯
• 零售与电子商务
• 能源与公共产业
• 媒体和娱乐
• BFSI
• 卫生保健
• 政府
• 其他的

各地区人工智慧 IT 营运平台市场规模及复合年增长率（2025-2032）

• 北美洲
  • 美国
  • 加拿大
• 欧洲
  • 德国
  • 西班牙
  • 法国
  • 英国
  • 义大利
  • 其他欧洲国家地区
• 亚太地区
  • 中国
  • 印度
  • 日本
  • 韩国
  • 其他亚太地区
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲国家
• 中东和非洲
  • 海湾合作委员会国家
  • 南非
  • 其他中东和非洲地区

竞争资讯

• 前 5 家公司对比
• 主要企业市场定位（2024年）
• 主要市场参与者所采用的策略
• 近期市场趋势
• 公司市场占有率分析（2024 年）
• 主要企业简介
  • 公司详细信息
  • 产品系列分析
  • 公司分部份额分析
  • 收益与前一年同期比较对比（2022-2024 年）

主要企业简介

• ServiceNow（US）
• AppDynamics（US）
• Datadog（US）
• New Relic（US）
• BMC Software（US）
• Micro Focus（UK）
• Cisco Systems（US）
• IBM（US）
• Microsoft（US）
• Amazon Web Services（AWS）（US）
• Google Cloud（US）
• Microsoft Azure（US）
• HPE（Hewlett Packard Enterprise）（US）
• Wipro（India）
• TCS（Tata Consultancy Services）（India）
• Accenture（Ireland）

结论和建议

Artificial Intelligence for IT Operations Platform Market size was valued at USD 10.8 billion in 2023 and is poised to grow from USD 12.83 billion in 2024 to USD 50.91 billion by 2032, growing at a CAGR of 18.8% during the forecast period (2025-2032).

The market for artificial intelligence (AI) in IT operations is poised for significant growth driven by advancements in AI technology and increasingly complex IT infrastructures. As industries prioritize efficiency and productivity, adoption of these AI platforms is likely to surge. Utilizing machine learning, these platforms can swiftly analyze vast amounts of data, offering actionable insights that help companies proactively address issues and enhance productivity while minimizing downtime. The growing volume of data, demand for rapid troubleshooting, and heightened focus on IT security further bolster market potential. Additionally, the rise of cloud computing and robust digitization underscores the critical role of AI in IT infrastructure. Companies should also consider integrating predictive analytics with these platforms for long-term strategic advantages.

Top-down and bottom-up approaches were used to estimate and validate the size of the Artificial Intelligence For It Operations Platform 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.

Artificial Intelligence For It Operations Platform Market Segments Analysis

Global Artificial Intelligence for IT Operations Platform Market is segmented by Offering, Application, Type, Organization Size, Vertical and region. Based on Offering, the market is segmented into Platform and Services. Based on Application, the market is segmented into Infrastructure Management, Application Performance Analysis, Real-Time Analytics, Network & Security Management and Others. Based on Type, the market is segmented into Cloud and On-premises. Based on Organization Size, the market is segmented into Large Enterprises and SMEs. Based on Vertical, the market is segmented into IT & Telecom, Retail & E-Commerce, Energy & Utilities, Media & Entertainment, BFSI, Healthcare, Government and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Artificial Intelligence For It Operations Platform Market

The growing complexity of IT infrastructure across various organizations, fueled by the increasing integration of interconnected networks and systems, is significantly boosting the demand for AI-driven IT operations solutions. These advanced technologies are essential for effectively managing, monitoring, and protecting IT platforms, as they streamline processes and enhance operational efficiency. As organizations seek to navigate this intricate landscape, the reliance on AI-powered tools becomes crucial to ensure optimal performance and security of IT systems, making them a vital component in modern IT management strategies. This trend highlights the necessity for innovative solutions in the evolving realm of IT operations.

Restraints in the Artificial Intelligence For It Operations Platform Market

The integration of an AIOps platform into existing IT systems or infrastructures poses significant challenges, as it is a highly intricate process that demands considerable time and effort to execute properly. This complexity not only escalates deployment costs but also hinders the overall growth of the Artificial Intelligence for IT Operations Platform market. As organizations navigate these integration hurdles, the extended timelines and increased financial commitments can deter potential adopters, ultimately leading to a slower expansion of market opportunities. Consequently, these factors act as restraints on the overall advancement of this evolving sector.

Market Trends of the Artificial Intelligence For It Operations Platform Market

The Artificial Intelligence for IT Operations (AIOps) platform market is witnessing a significant trend towards the adoption of machine learning and predictive analytics. As enterprises increasingly seek to optimize their IT performance, these technologies are becoming integral in enhancing operational efficiency and minimizing downtime. By leveraging sophisticated algorithms to analyze vast datasets, organizations can predict potential issues before they arise, enabling proactive management and swift resolution of incidents. This transition not only streamlines IT processes but also elevates service quality, driving a surge in demand for AIOps solutions that incorporate these advanced capabilities, positioning them as essential tools in the digital transformation journey.

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

Global Artificial Intelligence for IT Operations Platform Market Size by Offering & CAGR (2025-2032)

• Market Overview
• Platform
• Services

Global Artificial Intelligence for IT Operations Platform Market Size by Application & CAGR (2025-2032)

• Market Overview
• Infrastructure Management
• Application Performance Analysis
• Real-Time Analytics
• Network & Security Management
• Others

Global Artificial Intelligence for IT Operations Platform Market Size by Type & CAGR (2025-2032)

• Market Overview
• Cloud
• On-premises

Global Artificial Intelligence for IT Operations Platform Market Size by Organization Size & CAGR (2025-2032)

• Market Overview
• Large Enterprises
• SMEs

Global Artificial Intelligence for IT Operations Platform Market Size by Vertical & CAGR (2025-2032)

• Market Overview
• IT & Telecom
• Retail & E-Commerce
• Energy & Utilities
• Media & Entertainment
• BFSI
• Healthcare
• Government
• Others

Global Artificial Intelligence for IT Operations Platform Market Size & CAGR (2025-2032)

• North America (Offering, Application, Type, Organization Size, Vertical)
  • US
  • Canada
• Europe (Offering, Application, Type, Organization Size, Vertical)
  • Germany
  • Spain
  • France
  • UK
  • Italy
  • Rest of Europe
• Asia Pacific (Offering, Application, Type, Organization Size, Vertical)
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia-Pacific
• Latin America (Offering, Application, Type, Organization Size, Vertical)
  • Brazil
  • Rest of Latin America
• Middle East & Africa (Offering, Application, Type, Organization Size, 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 (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• AppDynamics (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Datadog (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• New Relic (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• BMC Software (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Micro Focus (UK)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Cisco Systems (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• IBM (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Microsoft (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Amazon Web Services (AWS) (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Google Cloud (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Microsoft Azure (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• HPE (Hewlett Packard Enterprise) (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Wipro (India)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• TCS (Tata Consultancy Services) (India)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Accenture (Ireland)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments

Conclusion & Recommendations