시장보고서
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1937916

IT 운영 플랫폼용 인공지능(AI) 시장 규모, 점유율, 동향 및 성장 분석 보고서(2026-2034년)

Global Artificial Intelligence For IT Operations Platform Market Size, Share, Trends & Growth Analysis Report 2026-2034

발행일: | 리서치사: Value Market Research | 페이지 정보: 영문 189 Pages | 배송안내 : 1-2일 (영업일 기준)

    
    
    




※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

IT 운영 플랫폼용 인공지능(AI) 시장 규모는 2025년 220억 6,000만 달러에서 2034년에는 814억 5,000만 달러에 달할 것으로 예측되며, 2026년부터 2034년까지 CAGR 15.62%로 성장할 전망입니다.

IT 운영 플랫폼용 인공지능(AI) 시장은 자동화 및 지능형 인사이트를 통해 IT 관리 역량을 강화하고자 하는 조직이 증가함에 따라 큰 폭의 성장이 예상됩니다. AIOps 플랫폼은 머신러닝과 데이터 분석을 활용하여 IT 운영을 효율화함으로써 성능에 영향을 미치기 전에 문제를 사전에 식별하고 해결할 수 있게 해줍니다. 클라우드 서비스 확산과 디지털 전환의 추진으로 IT 환경이 복잡해지면서 AIOps 솔루션에 대한 수요가 급증할 것으로 예상됩니다. 이러한 플랫폼은 운영 효율성을 향상시킬 뿐만 아니라 IT 서비스가 원활하게 제공될 수 있도록 보장함으로써 전반적인 사용자 경험 향상에 기여합니다.

또한, AIOps와 기존 IT 관리 도구의 통합은 조직이 인시던트 관리 및 성능 모니터링에 접근하는 방식을 혁신적으로 변화시킬 것입니다. AIOps 플랫폼은 다양한 소스의 데이터를 통합하여 전체 IT 운영에 대한 종합적인 가시성을 제공함으로써 팀이 실시간 인사이트에 기반한 의사결정을 내릴 수 있도록 지원합니다. 이러한 수준의 가시성은 리소스 배분을 최적화하고 다운타임을 줄이려는 조직에 매우 중요합니다. 기업이 민첩성과 대응력을 점점 더 중요시하는 가운데, AIOps 솔루션 도입은 전략적 필수 요건이 될 것입니다.

또한, 사이버 보안에 대한 관심이 높아지면서 위협 탐지 및 대응 역량 강화를 요구하는 조직이 증가함에 따라 AI옵스 플랫폼 시장은 더욱 확대될 것으로 예상됩니다. AIOps는 방대한 데이터를 분석하여 이상 징후와 잠재적 보안 침해 가능성을 파악할 수 있어 IT 팀이 신속하고 효과적으로 대응할 수 있습니다. 사이버 위협이 고도화됨에 따라 적응하고 진화할 수 있는 지능형 솔루션의 필요성이 매우 중요해지고 있습니다. IT 운영용 인공지능 플랫폼 시장의 미래는 밝으며, 디지털화가 진행되는 세상에서 지속적인 혁신과 IT 효율성, 보안, 탄력성 향상을 위한 노력이 특징이 될 것입니다.

목차

제1장 소개

제2장 주요 요약

제3장 시장 변수, 동향, 프레임워크

제4장 세계의 IT 운영 플랫폼용 인공지능(AI) 시장 : 제공별

제5장 세계의 IT 운영 플랫폼용 인공지능(AI) 시장 : 용도별

제6장 세계의 IT 운영 플랫폼용 인공지능(AI) 시장 : 전개별

제7장 세계의 IT 운영 플랫폼용 인공지능(AI) 시장 : 조직 규모별

제8장 세계의 IT 운영 플랫폼용 인공지능(AI) 시장 : 업계별

제9장 세계의 IT 운영 플랫폼용 인공지능(AI) 시장 : 지역별

제10장 경쟁 구도

제11장 기업 개요

KSM

The Artificial Intelligence For IT Operations Platform Market size is expected to reach USD 81.45 Billion in 2034 from USD 22.06 Billion (2025) growing at a CAGR of 15.62% during 2026-2034.

The artificial intelligence for IT operations (AIOps) platform market is poised for substantial growth as organizations increasingly seek to enhance their IT management capabilities through automation and intelligent insights. AIOps platforms leverage machine learning and data analytics to streamline IT operations, enabling businesses to proactively identify and resolve issues before they impact performance. As the complexity of IT environments continues to grow, driven by the proliferation of cloud services and digital transformation initiatives, the demand for AIOps solutions is expected to surge. These platforms not only improve operational efficiency but also enhance the overall user experience by ensuring that IT services are delivered seamlessly.

Furthermore, the integration of AIOps with existing IT management tools is set to revolutionize how organizations approach incident management and performance monitoring. By consolidating data from various sources, AIOps platforms provide a holistic view of IT operations, enabling teams to make informed decisions based on real-time insights. This level of visibility is crucial for organizations looking to optimize resource allocation and reduce downtime. As businesses increasingly prioritize agility and responsiveness, the adoption of AIOps solutions will become a strategic imperative.

Additionally, the growing emphasis on cybersecurity is likely to drive the AIOps platform market as organizations seek to enhance their threat detection and response capabilities. AIOps can analyze vast amounts of data to identify anomalies and potential security breaches, enabling IT teams to respond swiftly and effectively. As cyber threats become more sophisticated, the need for intelligent solutions that can adapt and evolve will be paramount. The future of the artificial intelligence for IT operations platform market is bright, characterized by continuous innovation and a commitment to enhancing IT efficiency, security, and resilience in an increasingly digital world.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

MARKET SEGMENTATION

By Offering

  • Platform
  • Services

By Application

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

By Deployment

  • Cloud
  • On-premises

By Organization Size

  • Large Enterprises
  • SMEs

By Vertical

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

COMPANIES PROFILED

  • Appdynamics, BMC Software Inc, Broadcom Inc, HCL Technologies Limited, IBM Corporation, Micro Focus International plc, Dell Inc, ProphetStor Data Services Inc, Splunk LLC, Thales

We can customise the report as per your requriements

TABLE OF CONTENTS

Chapter 1. PREFACE

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definition
  • 1.3. Information Procurement
    • 1.3.1 Information Analysis
    • 1.3.2 Market Formulation & Data Visualization
    • 1.3.3 Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

  • 2.1. Market Snapshot
  • 2.2. Segmental Outlook
  • 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

  • 3.1. Market Lineage Outlook
  • 3.2. Penetration & Growth Prospect Mapping
  • 3.3. Value Chain Analysis
  • 3.4. Regulatory Framework
    • 3.4.1 Standards & Compliance
    • 3.4.2 Regulatory Impact Analysis
  • 3.5. Market Dynamics
    • 3.5.1 Market Drivers
    • 3.5.2 Market Restraints
    • 3.5.3 Market Opportunities
    • 3.5.4 Market Challenges
  • 3.6. Porter's Five Forces Analysis
  • 3.7. PESTLE Analysis

Chapter 4. GLOBAL ARTIFICIAL INTELLIGENCE FOR IT OPERATIONS PLATFORM MARKET: BY OFFERING 2022-2034 (USD MN)

  • 4.1. Market Analysis, Insights and Forecast Offering
  • 4.2. Platform Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.3. Services Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL ARTIFICIAL INTELLIGENCE FOR IT OPERATIONS PLATFORM MARKET: BY APPLICATION 2022-2034 (USD MN)

  • 5.1. Market Analysis, Insights and Forecast Application
  • 5.2. Infrastructure Management Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.3. Application Performance Analysis Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.4. Real-Time Analytics Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.5. Network & Security Management Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.6. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL ARTIFICIAL INTELLIGENCE FOR IT OPERATIONS PLATFORM MARKET: BY DEPLOYMENT 2022-2034 (USD MN)

  • 6.1. Market Analysis, Insights and Forecast Deployment
  • 6.2. Cloud Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.3. On-premises Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL ARTIFICIAL INTELLIGENCE FOR IT OPERATIONS PLATFORM MARKET: BY ORGANIZATION SIZE 2022-2034 (USD MN)

  • 7.1. Market Analysis, Insights and Forecast Organization Size
  • 7.2. Large Enterprises Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.3. SMEs Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL ARTIFICIAL INTELLIGENCE FOR IT OPERATIONS PLATFORM MARKET: BY VERTICAL 2022-2034 (USD MN)

  • 8.1. Market Analysis, Insights and Forecast Vertical
  • 8.2. IT & Telecom Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.3. Retail & E-Commerce Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.4. Energy & Utilities Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.5. Media & Entertainment Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.6. BFSI Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.7. Healthcare Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.8. Government Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.9. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 9. GLOBAL ARTIFICIAL INTELLIGENCE FOR IT OPERATIONS PLATFORM MARKET: BY REGION 2022-2034(USD MN)

  • 9.1. Regional Outlook
  • 9.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 9.2.1 By Offering
    • 9.2.2 By Application
    • 9.2.3 By Deployment
    • 9.2.4 By Organization Size
    • 9.2.5 By Vertical
    • 9.2.6 United States
    • 9.2.7 Canada
    • 9.2.8 Mexico
  • 9.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 9.3.1 By Offering
    • 9.3.2 By Application
    • 9.3.3 By Deployment
    • 9.3.4 By Organization Size
    • 9.3.5 By Vertical
    • 9.3.6 United Kingdom
    • 9.3.7 France
    • 9.3.8 Germany
    • 9.3.9 Italy
    • 9.3.10 Russia
    • 9.3.11 Rest Of Europe
  • 9.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 9.4.1 By Offering
    • 9.4.2 By Application
    • 9.4.3 By Deployment
    • 9.4.4 By Organization Size
    • 9.4.5 By Vertical
    • 9.4.6 India
    • 9.4.7 Japan
    • 9.4.8 South Korea
    • 9.4.9 Australia
    • 9.4.10 South East Asia
    • 9.4.11 Rest Of Asia Pacific
  • 9.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 9.5.1 By Offering
    • 9.5.2 By Application
    • 9.5.3 By Deployment
    • 9.5.4 By Organization Size
    • 9.5.5 By Vertical
    • 9.5.6 Brazil
    • 9.5.7 Argentina
    • 9.5.8 Peru
    • 9.5.9 Chile
    • 9.5.10 South East Asia
    • 9.5.11 Rest of Latin America
  • 9.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 9.6.1 By Offering
    • 9.6.2 By Application
    • 9.6.3 By Deployment
    • 9.6.4 By Organization Size
    • 9.6.5 By Vertical
    • 9.6.6 Saudi Arabia
    • 9.6.7 UAE
    • 9.6.8 Israel
    • 9.6.9 South Africa
    • 9.6.10 Rest of the Middle East And Africa

Chapter 10. COMPETITIVE LANDSCAPE

  • 10.1. Recent Developments
  • 10.2. Company Categorization
  • 10.3. Supply Chain & Channel Partners (based on availability)
  • 10.4. Market Share & Positioning Analysis (based on availability)
  • 10.5. Vendor Landscape (based on availability)
  • 10.6. Strategy Mapping

Chapter 11. COMPANY PROFILES OF GLOBAL ARTIFICIAL INTELLIGENCE FOR IT OPERATIONS PLATFORM INDUSTRY

  • 11.1. Top Companies Market Share Analysis
  • 11.2. Company Profiles
    • 11.2.1 Appdynamics
    • 11.2.2 BMC Software Inc
    • 11.2.3 Broadcom Inc
    • 11.2.4 HCL Technologies Limited
    • 11.2.5 IBM Corporation
    • 11.2.6 Micro Focus International Plc
    • 11.2.7 Dell Inc
    • 11.2.8 ProphetStor Data Services Inc
    • 11.2.9 Splunk LLC
    • 11.2.10 Thales
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