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商品コード
1653925

IT運用プラットフォーム向け人工知能の市場規模、シェア、成長分析:提供別、用途別、タイプ別、組織規模別、業種別、地域別 - 産業予測 2025~2032年

Artificial Intelligence for IT Operations Platform Market Size, Share, and Growth Analysis, By Offering, By Application, By Type, By Organization Size, By Vertical, By Region - Industry Forecast 2025-2032


出版日
発行
SkyQuest
ページ情報
英文 197 Pages
納期
3~5営業日
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=143.57円
IT運用プラットフォーム向け人工知能の市場規模、シェア、成長分析:提供別、用途別、タイプ別、組織規模別、業種別、地域別 - 産業予測 2025~2032年
出版日: 2025年02月10日
発行: SkyQuest
ページ情報: 英文 197 Pages
納期: 3~5営業日
GIIご利用のメリット
  • 全表示
  • 概要
  • 目次
概要

IT運用プラットフォーム向け人工知能市場規模は2023年に108億米ドルと評価され、2024年の128億3,000万米ドルから2032年には509億1,000万米ドルに成長し、予測期間(2025年~2032年)のCAGRは18.8%で成長する見通しです。

IT運用プラットフォーム向け人工知能(AI)市場は、AI技術の進歩と複雑化するITインフラを原動力に大きく成長する見通しです。産業界が効率性と生産性を優先する中、こうしたAIプラットフォームの採用が急増するとみられます。機械学習を活用することで、これらのプラットフォームは膨大な量のデータを迅速に分析し、企業がダウンタイムを最小限に抑えながら問題に積極的に対処し、生産性を向上させるための実用的な洞察を提供することができます。データ量の増加、迅速なトラブルシューティングへの需要、ITセキュリティへの注目の高まりは、市場の可能性をさらに高める。さらに、クラウド・コンピューティングの台頭と強固なデジタル化は、ITインフラにおけるAIの重要な役割を強調しています。企業は、長期的な戦略的優位性を得るために、これらのプラットフォームに予測分析を統合することも検討すべきです。

目次

イントロダクション

  • 調査の目的
  • 調査範囲
  • 定義

調査手法

  • 情報調達
  • 二次と一次データの方法
  • 市場規模予測
  • 市場の前提条件と制限

エグゼクティブサマリー

  • 世界市場の見通し
  • 供給と需要の動向分析
  • セグメント別機会分析

市場力学と見通し

  • 市場概要
  • 市場規模
  • 市場力学
    • 促進要因と機会
    • 抑制要因と課題
  • ポーターの分析

主な市場の考察

  • 重要成功要因
  • 競合の程度
  • 主な投資機会
  • 市場エコシステム
  • 市場の魅力指数(2024年)
  • PESTEL分析
  • マクロ経済指標
  • バリューチェーン分析
  • 価格分析

IT運用プラットフォーム向け人工知能市場規模:提供別& CAGR(2025-2032)

  • 市場概要
  • プラットフォーム
  • サービス

IT運用プラットフォーム向け人工知能市場規模:用途別& CAGR(2025-2032)

  • 市場概要
  • インフラストラクチャ管理
  • アプリケーションパフォーマンス分析
  • リアルタイム分析
  • ネットワークとセキュリティ管理
  • その他

IT運用プラットフォーム向け人工知能市場規模:タイプ別& CAGR(2025-2032)

  • 市場概要
  • クラウド
  • オンプレミス

IT運用プラットフォーム向け人工知能市場規模:組織規模別& CAGR(2025-2032)

  • 市場概要
  • 大企業
  • 中小企業

IT運用プラットフォーム向け人工知能市場規模:業界別& CAGR(2025-2032)

  • 市場概要
  • ITおよび通信
  • 小売・eコマース
  • エネルギー・公益事業
  • メディアとエンターテイメント
  • BFSI
  • ヘルスケア
  • 政府
  • その他

IT運用プラットフォーム向け人工知能市場規模:地域別& CAGR(2025-2032)

  • 北米
    • 米国
    • カナダ
  • 欧州
    • ドイツ
    • スペイン
    • フランス
    • 英国
    • イタリア
    • その他欧州地域
  • アジア太平洋地域
    • 中国
    • インド
    • 日本
    • 韓国
    • その他アジア太平洋地域
  • ラテンアメリカ
    • ブラジル
    • その他ラテンアメリカ地域
  • 中東・アフリカ
    • GCC諸国
    • 南アフリカ
    • その他中東・アフリカ

競合情報

  • 上位5社の比較
  • 主要企業の市場ポジショニング(2024年)
  • 主な市場企業が採用した戦略
  • 最近の市場動向
  • 企業の市場シェア分析(2024年)
  • 主要企業の企業プロファイル
    • 企業の詳細
    • 製品ポートフォリオ分析
    • 企業のセグメント別シェア分析
    • 収益の前年比比較(2022-2024)

主要企業プロファイル

  • 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)

結論と提言

目次
Product Code: SQMIG45E2213

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