AIOps（Artificial Intelligence for IT Operations）プラットフォームの市場規模、シェア、動向分析レポート：提供別、用途別、展開モード別、組織規模別、業界別、地域別、セグメント予測、2023年～2030年

AIOps（Artificial Intelligence for IT Operations）プラットフォーム市場の成長と動向：

Grand View Research, Incの最新レポートによると、AIOps（Artificial Intelligence for IT Operations）プラットフォームの世界市場規模は2030年までに360億7,000万米ドルに達し、CAGRは17.4％を記録すると予測されています。

世界企業における急速なデジタル変革により、データセットはますます複雑化しています。企業は大量のデータ処理に多大な時間とコスト、労力を費やしています。IT業務もこの変革の端緒にあり、ITチームはビジネスを維持するために複雑なデータセットを管理する必要があります。その上、分散アーキテクチャとビジネス・アプリケーションやサービスの動的性質のために、ここ数年でデータ負荷が大幅に増加しています。

ITの俊敏性要件が高まる中、IT運用チームがビジネスの需要や動向、ITインフラの積極的なデジタル化に対応するための方法として、IT運用のための人工知能（AIOps）プラットフォームが登場しました。AIOpsプラットフォームとは、人間の知能と自動化されたアルゴリズムを組み合わせ、ITシステムのパフォーマンスを完全に可視化するIT運用のためのAIプラットフォームを指します。例えば、2022年3月、世界の大手テクノロジー企業であるHCLテクノロジーズは、IBMとの協業によるセンター・オブ・エクセレンスを発表しました。このセンター・オブ・エクセレンスは、ネットワーク・インフラの近代化、運用の簡素化、サービス提供の変革においてCSPを支援します。

COVID-19の発生は、いくつかの企業に大きな課題と不確実性をもたらしています。AIOpsプラットフォームは、このようなビジネス・インフラストラクチャーの変革という困難な時代の中で、デジタル環境で事業を展開する各業界と連携することができます。パンデミック（世界的大流行）の中で進むデジタル変革は、ユーザーエクスペリエンス、セキュリティ、産業の没落に関するさまざまな課題を引き起こしています。デジタル環境におけるセキュリティ関連の脆弱性が大幅に増加したため、組織は業務インフラを再構築しています。

このような非常にダイナミックな状況下で、AIOpsプラットフォームは、企業が用心深いセキュリティ対策を講じるのに役立ちます。例えば、セキュリティ・チームはAIOpsをサイバーセキュリティに活用することで、データ・セキュリティの可視性とインテリジェンスを得ることができます。これらのデバイスは、監視、脅威対応、エンゲージメントなど、さまざまな重要タスクを実行できます。

クラウド・コンピューティングの採用は近年急速に増加しています。マイクロソフト・アジュール（Microsoft Azure）、AWS（Amazon Web Services, Inc.）、グーグル・クラウド（Alphabet Inc.）などのクラウド・ホスティング・サービスは、使用量に応じたスケールアップやスケールダウン、従量課金、セルフサービス、高い耐障害性などの機能により、多くの企業にアピールしています。これらの利点は、従来のITサービスよりもIT支出を削減し、サービス品質を向上させ、市場投入までの時間を短縮することにつながります。

AIOpsソリューションは、すべての環境を一元的に可視化することで、IT運用の新たな効率化を実現し、IT問題の診断と解決を迅速化します。例えば、2022年2月、コンサルティングとアドバイザリーサービスを提供するデロイトは、AIOPS.Dを発表しました。この「AIを活用したプラグアンドプレイのモジュール型」マイクロサービス・プラットフォームは、調達、サプライチェーン、財務などのビジネス機能を自動化します。

AIOps（Artificial Intelligence for IT Operations）プラットフォーム市場レポート・ハイライト

• 企業はリアルタイム分析とネットワーク＆セキュリティ管理に特化したAIOpsプラットフォームを導入しています。
• ほとんどのAIOpsプラットフォームは、インテント・データと呼ばれる個人に関するデータよりも、充実した企業データを提供することに重点を置いています。インテント・データは、個人のオンラインまたはデジタル活動に関する行動情報を収集したものです。
• IT環境におけるインフラ管理のための機械学習の採用が増加していることは、市場成長を促進する主な要因の1つです。
• 主要企業は、AIと機械学習技術を活用して、IT運用の回復力を向上させ、生産性を高めています。

目次

第1章 調査手法と範囲

第2章 エグゼクティブサマリー

第3章 AIOps（Artificial Intelligence for IT Operations）プラットフォームの市場変数、動向、範囲

• 市場系統の見通し
• 業界のバリューチェーン分析
• 市場力学
  • 市場促進要因分析
  • 市場抑制要因分析
  • 市場機会分析
• AIOps（Artificial Intelligence for IT Operations）プラットフォーム市場分析ツール
  • 業界分析- ポーターのファイブフォース分析
  • PESTEL分析

第4章 AIOps（Artificial Intelligence for IT Operations）プラットフォーム市場：提供の推定・動向分析

• AIOps（Artificial Intelligence for IT Operations）プラットフォーム市場：重要なポイント
• AIOps（Artificial Intelligence for IT Operations）プラットフォーム市場：動向と市場シェア分析、2022年と2030年
• プラットホーム
• サービス

第5章 AIOps（Artificial Intelligence for IT Operations）プラットフォーム市場：用途の推定・動向分析

• AIOps（Artificial Intelligence for IT Operations）プラットフォーム市場：重要なポイント
• AIOps（Artificial Intelligence for IT Operations）プラットフォーム市場：動向と市場シェア分析、2022年と2030年
• インフラストラクチャ管理
• アプリケーションの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の管理
• その他

第6章 AIOps（Artificial Intelligence for IT Operations）プラットフォーム市場：展開モードの推定・動向分析

• AIOps（Artificial Intelligence for IT Operations）プラットフォーム市場：重要なポイント
• AIOps（Artificial Intelligence for IT Operations）プラットフォーム市場：動向と市場シェア分析、2022年と2030年
• クラウド
• オンプレミス

第7章 AIOps（Artificial Intelligence for IT Operations）プラットフォーム市場：組織規模の推定・動向分析

• AIOps（Artificial Intelligence for IT Operations）プラットフォーム市場：重要なポイント
• AIOps（Artificial Intelligence for IT Operations）プラットフォーム市場：動向と市場シェア分析、2022年と2030年
• 中小企業
• 大企業

第8章 AIOps（Artificial Intelligence for IT Operations）プラットフォーム市場：業界の推定・動向分析

• AIOps（Artificial Intelligence for IT Operations）プラットフォーム市場：重要なポイント
• AIOps（Artificial Intelligence for IT Operations）プラットフォーム市場：動向と市場シェア分析、2022年と2030年
• BFSI
• ヘルスケアとライフサイエンス
• 小売とeコマース
• IT＆テレコム
• エネルギーと公共事業
• 政府および公共部門
• メディアとエンターテイメント
• その他

第9章 AIOps（Artificial Intelligence for IT Operations）プラットフォーム市場：地域の推定・動向分析

• 地域別の見通し
• 地域別のAIOps（Artificial Intelligence for IT Operations）プラットフォーム市場：重要なポイント
• 北米
  • 市場推計・予測、2017年から2030年まで
  • 米国
  • カナダ
• 欧州
  • 英国
  • ドイツ
  • フランス
• アジア太平洋地域
  • 日本
  • 中国
  • インド
  • オーストラリア
  • 韓国
• ラテンアメリカ
  • ブラジル
  • メキシコ
• 中東・アフリカ
  • サウジアラビア
  • 南アフリカ
  • アラブ首長国連邦

第10章 競合情勢

• 主要市場参入企業による最近の動向と影響分析
• 市場参入企業の分類
  • AppDynamics
  • BMC Software, Inc.
  • Broadcom
  • HCL Technologies Limited
  • IBM Corporation
  • Micro Focus
  • Moogsoft
  • ProphetStor Data Services, Inc.
  • Resolve Systems
  • Splunk Inc.
  • VMware, Inc.

List of Tables

• Table 1 List of abbreviations
• Table 2 North America artificial intelligence for IT operations (AIOps) platform market, by offering, 2017 - 2030 (USD Million)
• Table 3 North America artificial intelligence for IT operations (AIOps) platform market, by application, 2017 - 2030 (USD Million)
• Table 4 North America artificial intelligence for IT operations (AIOps) platform market, by deployment mode, 2017 - 2030 (USD Million)
• Table 5 North America artificial intelligence for IT operations (AIOps) platform market, by organization size, 2017 - 2030 (USD Million)
• Table 6 North America artificial intelligence for IT operations (AIOps) platform market, by vertical, 2017 - 2030 (USD Million)
• Table 7 North America artificial intelligence for IT operations (AIOps) platform market, by region, 2017 to 2030 (USD Million)
• Table 8 U.S. artificial intelligence for IT operations (AIOps) platform market, by offering, 2017 - 2030 (USD Million)
• Table 9 U.S. artificial intelligence for IT operations (AIOps) platform market, by application, 2017 - 2030 (USD Million)
• Table 10 U.S. artificial intelligence for IT operations (AIOps) platform market, by deployment mode, 2017 - 2030 (USD Million)
• Table 11 U.S. artificial intelligence for IT operations (AIOps) platform market, by organization size, 2017 - 2030 (USD Million)
• Table 12 U.S. artificial intelligence for IT operations (AIOps) platform market, by vertical, 2017 - 2030 (USD Million)
• Table 13 Canada artificial intelligence for IT operations (AIOps) platform market, by offering, 2017 - 2030 (USD Million)
• Table 14 Canada artificial intelligence for IT operations (AIOps) platform market, by application, 2017 - 2030 (USD Million)
• Table 15 Canada artificial intelligence for IT operations (AIOps) platform market, by deployment mode, 2017 - 2030 (USD Million)
• Table 16 Canada artificial intelligence for IT operations (AIOps) platform market, by organization size, 2017 - 2030 (USD Million)
• Table 17 Canada artificial intelligence for IT operations (AIOps) platform market, by vertical, 2017 - 2030 (USD Million)
• Table 18 Europe artificial intelligence for IT operations (AIOps) platform market, by offering, 2017 - 2030 (USD Million)
• Table 19 Europe artificial intelligence for IT operations (AIOps) platform market, by application, 2017 - 2030 (USD Million)
• Table 20 Europe artificial intelligence for IT operations (AIOps) platform market, by deployment mode, 2017 - 2030 (USD Million)
• Table 21 Europe artificial intelligence for IT operations (AIOps) platform market, by organization size, 2017 - 2030 (USD Million)
• Table 22 Europe artificial intelligence for IT operations (AIOps) platform market, by vertical, 2017 - 2030 (USD Million)
• Table 23 Europe artificial intelligence for IT operations (AIOps) platform market, by region, 2017 to 2030 (USD Million)
• Table 24 Germany artificial intelligence for IT operations (AIOps) platform market, by offering, 2017 - 2030 (USD Million)
• Table 25 Germany artificial intelligence for IT operations (AIOps) platform market, by application, 2017 - 2030 (USD Million)
• Table 26 Germany artificial intelligence for IT operations (AIOps) platform market, by deployment mode, 2017 - 2030 (USD Million)
• Table 27 Germany artificial intelligence for IT operations (AIOps) platform market, by organization size, 2017 - 2030 (USD Million)
• Table 28 Germany artificial intelligence for IT operations (AIOps) platform market, by vertical, 2017 - 2030 (USD Million)
• Table 29 UK artificial intelligence for IT operations (AIOps) platform market, by offering, 2017 - 2030 (USD Million)
• Table 30 UK artificial intelligence for IT operations (AIOps) platform market, by application, 2017 - 2030 (USD Million)
• Table 31 UK artificial intelligence for IT operations (AIOps) platform market, by deployment mode, 2017 - 2030 (USD Million)
• Table 32 UK artificial intelligence for IT operations (AIOps) platform market, by organization size, 2017 - 2030 (USD Million)
• Table 33 UK artificial intelligence for IT operations (AIOps) platform market, by vertical, 2017 - 2030 (USD Million)
• Table 34 France artificial intelligence for IT operations (AIOps) platform market, by offering, 2017 - 2030 (USD Million)
• Table 35 France artificial intelligence for IT operations (AIOps) platform market, by application, 2017 - 2030 (USD Million)
• Table 36 France artificial intelligence for IT operations (AIOps) platform market, by deployment mode, 2017 - 2030 (USD Million)
• Table 37 France artificial intelligence for IT operations (AIOps) platform market, by organization size, 2017 - 2030 (USD Million)
• Table 38 France artificial intelligence for IT operations (AIOps) platform market, by vertical, 2017 - 2030 (USD Million)
• Table 39 Asia Pacific artificial intelligence for IT operations (AIOps) platform market, by offering, 2017 - 2030 (USD Million)
• Table 40 Asia Pacific artificial intelligence for IT operations (AIOps) platform market, by application, 2017 - 2030 (USD Million)
• Table 41 Asia Pacific artificial intelligence for IT operations (AIOps) platform market, by deployment mode, 2017 - 2030 (USD Million)
• Table 42 Asia Pacific artificial intelligence for IT operations (AIOps) platform market, by organization size, 2017 - 2030 (USD Million)
• Table 43 Asia Pacific artificial intelligence for IT operations (AIOps) platform market, by vertical, 2017 - 2030 (USD Million)
• Table 44 Asia Pacific artificial intelligence for IT operations (AIOps) platform market, by region, 2017 to 2030 (USD Million)
• Table 45 China artificial intelligence for IT operations (AIOps) platform market, by offering, 2017 - 2030 (USD Million)
• Table 46 China artificial intelligence for IT operations (AIOps) platform market, by application, 2017 - 2030 (USD Million)
• Table 47 China artificial intelligence for IT operations (AIOps) platform market, by deployment mode, 2017 - 2030 (USD Million)
• Table 48 China artificial intelligence for IT operations (AIOps) platform market, by organization size, 2017 - 2030 (USD Million)
• Table 49 China artificial intelligence for IT operations (AIOps) platform market, by vertical, 2017 - 2030 (USD Million)
• Table 50 Japan artificial intelligence for IT operations (AIOps) platform market, by offering, 2017 - 2030 (USD Million)
• Table 51 Japan artificial intelligence for IT operations (AIOps) platform market, by application, 2017 - 2030 (USD Million)
• Table 52 Japan artificial intelligence for IT operations (AIOps) platform market, by deployment mode, 2017 - 2030 (USD Million)
• Table 53 Japan artificial intelligence for IT operations (AIOps) platform market, by organization size, 2017 - 2030 (USD Million)
• Table 54 Japan artificial intelligence for IT operations (AIOps) platform market, by vertical, 2017 - 2030 (USD Million)
• Table 55 India artificial intelligence for IT operations (AIOps) platform market, by offering, 2017 - 2030 (USD Million)
• Table 56 India artificial intelligence for IT operations (AIOps) platform market, by application, 2017 - 2030 (USD Million)
• Table 57 India artificial intelligence for IT operations (AIOps) platform market, by deployment mode, 2017 - 2030 (USD Million)
• Table 58 India artificial intelligence for IT operations (AIOps) platform market, by organization size, 2017 - 2030 (USD Million)
• Table 59 India artificial intelligence for IT operations (AIOps) platform market, by vertical, 2017 - 2030 (USD Million)
• Table 60 Australia artificial intelligence for IT operations (AIOps) platform market, by offering, 2017 - 2030 (USD Million)
• Table 61 Australia artificial intelligence for IT operations (AIOps) platform market, by application, 2017 - 2030 (USD Million)
• Table 62 Australia artificial intelligence for IT operations (AIOps) platform market, by deployment mode, 2017 - 2030 (USD Million)
• Table 63 Australia artificial intelligence for IT operations (AIOps) platform market, by organization size, 2017 - 2030 (USD Million)
• Table 64 Australia artificial intelligence for IT operations (AIOps) platform market, by vertical, 2017 - 2030 (USD Million)
• Table 65 South Korea artificial intelligence for IT operations (AIOps) platform market, by offering, 2017 - 2030 (USD Million)
• Table 66 South Korea artificial intelligence for IT operations (AIOps) platform market, by application, 2017 - 2030 (USD Million)
• Table 67 South Korea artificial intelligence for IT operations (AIOps) platform market, by deployment mode, 2017 - 2030 (USD Million)
• Table 68 South Korea artificial intelligence for IT operations (AIOps) platform market, by organization size, 2017 - 2030 (USD Million)
• Table 69 South Korea artificial intelligence for IT operations (AIOps) platform market, by vertical, 2017 - 2030 (USD Million)
• Table 70 Latin America artificial intelligence for IT operations (AIOps) platform market, by offering, 2017 - 2030 (USD Million)
• Table 71 Latin America artificial intelligence for IT operations (AIOps) platform market, by application, 2017 - 2030 (USD Million)
• Table 72 Latin America artificial intelligence for IT operations (AIOps) platform market, by deployment mode, 2017 - 2030 (USD Million)
• Table 73 Latin America artificial intelligence for IT operations (AIOps) platform market, by organization size, 2017 - 2030 (USD Million)
• Table 74 Latin America artificial intelligence for IT operations (AIOps) platform market, by vertical, 2017 - 2030 (USD Million)
• Table 75 Latin America artificial intelligence for IT operations (AIOps) platform market, by region, 2017 to 2030 (USD Million)
• Table 76 Brazil artificial intelligence for IT operations (AIOps) platform market, by offering, 2017 - 2030 (USD Million)
• Table 77 Brazil artificial intelligence for IT operations (AIOps) platform market, by application, 2017 - 2030 (USD Million)
• Table 78 Brazil artificial intelligence for IT operations (AIOps) platform market, by deployment mode, 2017 - 2030 (USD Million)
• Table 79 Brazil artificial intelligence for IT operations (AIOps) platform market, by organization size, 2017 - 2030 (USD Million)
• Table 80 Brazil artificial intelligence for IT operations (AIOps) platform market, by vertical, 2017 - 2030 (USD Million)
• Table 81 Mexico artificial intelligence for IT operations (AIOps) platform market, by offering, 2017 - 2030 (USD Million)
• Table 82 Mexico artificial intelligence for IT operations (AIOps) platform market, by application, 2017 - 2030 (USD Million)
• Table 83 Mexico artificial intelligence for IT operations (AIOps) platform market, by deployment mode, 2017 - 2030 (USD Million)
• Table 84 Mexico artificial intelligence for IT operations (AIOps) platform market, by organization size, 2017 - 2030 (USD Million)
• Table 85 Mexico artificial intelligence for IT operations (AIOps) platform market, by vertical, 2017 - 2030 (USD Million)
• Table 86 Middle East and Africa artificial intelligence for IT operations (AIOps) platform market, by offering, 2017 - 2030 (USD Million)
• Table 87 Middle East and Africa artificial intelligence for IT operations (AIOps) platform market, by application, 2017 - 2030 (USD Million)
• Table 88 Middle East and Africa artificial intelligence for IT operations (AIOps) platform market, by deployment mode, 2017 - 2030 (USD Million)
• Table 89 Middle East and Africa artificial intelligence for IT operations (AIOps) platform market, by organization size, 2017 - 2030 (USD Million)
• Table 90 Middle East and Africa artificial intelligence for IT operations (AIOps) platform market, by vertical, 2017 - 2030 (USD Million)
• Table 91 Middle East and Africa artificial intelligence for IT operations (AIOps) platform market, by region, 2017 to 2030 (USD Million)
• Table 92 South Africa artificial intelligence for IT operations (AIOps) platform market, by offering, 2017 - 2030 (USD Million)
• Table 93 South Africa artificial intelligence for IT operations (AIOps) platform market, by application, 2017 - 2030 (USD Million)
• Table 94 South Africa artificial intelligence for IT operations (AIOps) platform market, by deployment mode, 2017 - 2030 (USD Million)
• Table 95 South Africa artificial intelligence for IT operations (AIOps) platform market, by organization size, 2017 - 2030 (USD Million)
• Table 96 South Africa artificial intelligence for IT operations (AIOps) platform market, by vertical, 2017 - 2030 (USD Million)
• Table 97 Saudi Arabia artificial intelligence for IT operations (AIOps) platform market, by offering, 2017 - 2030 (USD Million)
• Table 98 Saudi Arabia artificial intelligence for IT operations (AIOps) platform market, by application, 2017 - 2030 (USD Million)
• Table 99 Saudi Arabia artificial intelligence for IT operations (AIOps) platform market, by deployment mode, 2017 - 2030 (USD Million)
• Table 100 Saudi Arabia artificial intelligence for IT operations (AIOps) platform market, by organization size, 2017 - 2030 (USD Million)
• Table 101 Saudi Arabia artificial intelligence for IT operations (AIOps) platform market, by vertical, 2017 - 2030 (USD Million)
• Table 102 UAE artificial intelligence for IT operations (AIOps) platform market, by offering, 2017 - 2030 (USD Million)
• Table 103 UAE artificial intelligence for IT operations (AIOps) platform market, by application, 2017 - 2030 (USD Million)
• Table 104 UAE artificial intelligence for IT operations (AIOps) platform market, by deployment mode, 2017 - 2030 (USD Million)
• Table 105 UAE artificial intelligence for IT operations (AIOps) platform market, by organization size, 2017 - 2030 (USD Million)
• Table 106 UAE artificial intelligence for IT operations (AIOps) platform market, by vertical, 2017 - 2030 (USD Million)

List of Figures

• Fig. 1 Market research process
• Fig. 2 Data triangulation techniques
• Fig. 3 Primary research pattern
• Fig. 4 Market research approaches
• Fig. 5 Value-chain-based sizing & forecasting
• Fig. 6 QFD modeling for market share assessment
• Fig. 7 Market formulation & validation
• Fig. 8 Microneedle drug delivery systems: Market outlook
• Fig. 9 Microneedle drug delivery systems: Competitive insights
• Fig. 10 Parent market outlook
• Fig. 11 Related/ancillary market outlook
• Fig. 12 Penetration and growth prospect mapping
• Fig. 13 Industry value chain analysis
• Fig. 14 Artificial intelligence for IT operations (AIOps) platform market driver impact
• Fig. 15 Artificial intelligence for IT operations (AIOps) platform market restraint impact
• Fig. 16 Artificial intelligence for IT operations (AIOps) platform market strategic initiatives analysis
• Fig. 17 Artificial intelligence for IT operations (AIOps) platform market: Offering movement analysis
• Fig. 18 Artificial intelligence for IT operations (AIOps) platform market: Offering outlook and key takeaways
• Fig. 19 Platform market estimates and forecasts, 2017 - 2030
• Fig. 20 Service market estimates and forecasts, 2017 - 2030
• Fig. 21 Artificial intelligence for IT operations (AIOps) platform market: Application movement analysis
• Fig. 22 Artificial intelligence for IT operations (AIOps) platform market: Application outlook and key takeaways
• Fig. 23 Infrastructure management market estimates and forecasts, 2017 - 2030
• Fig. 24 Application performance analysis market estimates and forecasts, 2017 - 2030
• Fig. 25 Real-time analytics market estimates and forecasts, 2017 - 2030
• Fig. 26 Network & security management market estimates and forecasts, 2017 - 2030
• Fig. 27 Others market estimates and forecasts, 2017 - 2030
• Fig. 28 Artificial intelligence for IT operations (AIOps) platform market: Deployment mode movement analysis
• Fig. 29 Artificial intelligence for IT operations (AIOps) platform market: Deployment mode outlook and key takeaways
• Fig. 30 Cloud market estimates and forecasts, 2017 - 2030
• Fig. 31 On-premise delivery market estimates and forecasts, 2017 - 2030
• Fig. 32 Artificial intelligence for IT operations (AIOps) platform market: Organization size movement analysis
• Fig. 33 Artificial intelligence for IT operations (AIOps) platform market: Organization size outlook and key takeaways
• Fig. 34 SMEs market estimates and forecasts, 2017 - 2030
• Fig. 35 Large enterprises market estimates and forecasts, 2017 - 2030
• Fig. 36 Artificial intelligence for IT operations (AIOps) platform market: Vertical movement analysis
• Fig. 37 Artificial intelligence for IT operations (AIOps) platform market: Vertical outlook and key takeaways
• Fig. 38 BFSI market estimates and forecasts, 2017 - 2030
• Fig. 39 Healthcare & life sciences market estimates and forecasts, 2017 - 2030
• Fig. 40 Retail & e-commerce market estimates and forecasts, 2017 - 2030
• Fig. 41 IT & telecom market estimates and forecasts, 2017 - 2030
• Fig. 42 Energy & utilities market estimates and forecasts, 2017 - 2030
• Fig. 43 Government & public sector market estimates and forecasts, 2017 - 2030
• Fig. 44 Media & entertainment market estimates and forecasts, 2017 - 2030
• Fig. 45 Others market estimates and forecasts, 2017 - 2030
• Fig. 46 Global artificial intelligence for IT operations (AIOps) platform market: Regional movement analysis
• Fig. 47 Global artificial intelligence for IT operations (AIOps) platform market: Regional outlook and key takeaways
• Fig. 48 North America market estimates and forecasts, 2017 - 2030
• Fig. 49 U.S. market estimates and forecasts, 2017 - 2030
• Fig. 50 Canada market estimates and forecasts, 2017 - 2030
• Fig. 51 Europe market estimates and forecasts, 2017 - 2030
• Fig. 52 UK market estimates and forecasts, 2017 - 2030
• Fig. 53 Germany market estimates and forecasts, 2017 - 2030
• Fig. 54 France market estimates and forecasts, 2017 - 2030
• Fig. 55 Asia Pacific market estimates and forecasts, 2017 - 2030
• Fig. 56 Japan market estimates and forecasts, 2017 - 2030
• Fig. 57 China market estimates and forecasts, 2017 - 2030
• Fig. 58 India market estimates and forecasts, 2017 - 2030
• Fig. 59 Australia market estimates and forecasts, 2017 - 2030
• Fig. 60 South Korea market estimates and forecasts, 2017 - 2030
• Fig. 61 Latin America market estimates and forecasts, 2017 - 2030
• Fig. 62 Brazil market estimates and forecasts, 2017 - 2030
• Fig. 63 Mexico market estimates and forecasts, 2017 - 2030
• Fig. 64 Middle East and Africa market estimates and forecasts, 2017 - 2030
• Fig. 65 Saudi Arabia market estimates and forecasts, 2017 - 2030
• Fig. 66 South Africa market estimates and forecasts, 2017 - 2030
• Fig. 67 UAE market estimates and forecasts, 2017 - 2030

Artificial Intelligence For IT Operations Platform Market Growth & Trends:

The global artificial intelligence for IT operations platform market size is expected to reach USD 36.07 billion by 2030, registering a CAGR of 17.4%, according to a new report by Grand View Research, Inc. Rapid digital transformations in global business organizations have brought about increasingly complex datasets. Businesses spend a significant amount of time, cost, and effort on processing large volumes of data. IT operations are also on the edge of this transformation, wherein IT teams are required to manage complex datasets to sustain their business. Besides, there has been a considerable increase in data loads over the last few years due to the distributed architecture and dynamic nature of business applications and services.

With the increasing IT agility requirement, the artificial intelligence for IT operations (AIOps) platform has emerged as a way for IT operations teams to keep up with business demands, trends, and aggressive digitization of IT infrastructure. AIOps platform refers to the AI platform for IT operations that combines human intelligence with automated algorithms to provide full visibility into IT systems' performance. For instance, in March 2022, HCL Technologies, a leading global technology company, announced a center of excellence in collaboration with IBM. This Center of Excellence will assist CSPs in modernizing their network infrastructure, simplifying operations, and transforming service delivery.

The COVID-19 outbreak has created significant challenges and uncertainties for several businesses. AIOps platform can align with the industries, operating in the digital environment amid such a challenging era of business infrastructural transformations. The increasing digital transformation during the pandemic has led to various challenges concerning user experience, security, and the downfall of the industries. Organizations are restructuring operational infrastructure as security-related vulnerabilities in the digital environment have increased, significantly.

Under such highly dynamic circumstances, the AIOps platform helps businesses to take vigilant security measures. For instance, security teams can benefit from AIOps for cybersecurity, where they can gain data security visibility and intelligence. These devices can perform various vital tasks, such as surveillance, threat response, and engagement.

The adoption of cloud computing has been increasing rapidly in recent years. Cloud-hosting services such as Microsoft Azure (Microsoft), AWS (Amazon Web Services, Inc.), and Google Cloud (Alphabet Inc.) appeal to many enterprises, owing to features such as the ability to scale up or down based on usage, pay-per-use, self-service, and high resiliency. These advantages, in turn, lead to lower IT expenditure, better service quality, and faster time-to-market than traditional IT offerings.

AIOps solutions enable new IT operations efficiencies by offering centralized visibility across all environments, which helps diagnose and resolve IT issues, faster. For instance, in February 2022, Deloitte, a consulting and advisory services company, has announced the launch of AIOPS.D. This "AI-fueled, plug-and-play modular" micro-services platform automates business functions such as procurement, supply chain, and finance.

Artificial Intelligence For IT Operations Platform Market Report Highlights:

• Organizations are deploying AIOps platforms specifically for real-time analytics and network & security management
• Most AIOps platforms focus on providing enriched company data over data about individuals, called intent data. Intent data is collected behavioral information about an individual's online or digital activities
• The rising adoption of machine learning for infrastructure management in IT environments is one of the major factors driving the market growth
• Key players are leveraging AI and machine learning technologies to improve resilience and enhance productivity in IT operations

Table of Contents

Chapter 1. Methodology and Scope

• 1.1. Market Segmentation & Scope
  • 1.1.1. Offering
  • 1.1.2. Application
  • 1.1.3. Deployment Mode
  • 1.1.4. Organization Size
  • 1.1.5. Vertical
  • 1.1.6. Regional scope
  • 1.1.7. Estimates and forecast timeline
• 1.2. Research Methodology
• 1.3. Information Procurement
  • 1.3.1. Purchased database
  • 1.3.2. GVR's internal database
  • 1.3.3. Secondary sources
  • 1.3.4. Primary research
  • 1.3.5. Details of primary research
• 1.4. Information or Data Analysis
• 1.5. Market Formulation & Validation
• 1.6. Model Details
• 1.7. List of Secondary Sources
• 1.8. List of Primary Sources
• 1.9. Objectives

Chapter 2. Executive Summary

• 2.1. Market Outlook
• 2.2. Segment Outlook
  • 2.2.1. Offering outlook
  • 2.2.2. Application outlook
  • 2.2.3. Deployment mode outlook
  • 2.2.4. Organization size outlook
  • 2.2.5. Vertical Outlook
  • 2.2.6. Regional outlook
• 2.3. Competitive Insights

Chapter 3. Artificial Intelligence for IT Operations (AIOps) Platform Market Variables, Trends & Scope

• 3.1. Market Lineage Outlook
• 3.2. Industry Value Chain Analysis
• 3.3. Market Dynamics
  • 3.3.1. Market driver analysis
  • 3.3.2. Market restraint analysis
  • 3.3.3. Market opportunity analysis
• 3.4. Artificial Intelligence for IT Operations (AIOps) Platform Market Analysis Tools
  • 3.4.1. Industry analysis - Porter's Five Forces
    • 3.4.1.1. Supplier power
    • 3.4.1.2. Buyer power
    • 3.4.1.3. Substitution threat
    • 3.4.1.4. Threat of new entrant
    • 3.4.1.5. Competitive rivalry
  • 3.4.2. PESTEL analysis
    • 3.4.2.1. Political landscape
    • 3.4.2.2. Technological landscape
    • 3.4.2.3. Economic landscape

Chapter 4. Artificial Intelligence for IT Operations (AIOps) Platform Market: Offering Estimates & Trend Analysis

• 4.1. Artificial Intelligence for IT Operations (AIOps) Platform Market: Key Takeaways
• 4.2. Artificial Intelligence for IT Operations (AIOps) Platform Market: Movement & Market Share Analysis, 2022 & 2030
• 4.3. Platform
  • 4.3.1. Platform market estimates and forecasts, 2017 to 2030 (USD Million)
• 4.4. Service
  • 4.4.1. Service market estimates and forecasts, 2017 to 2030 (USD Million)

Chapter 5. Artificial Intelligence for IT Operations (AIOps) Platform Market: Application Estimates & Trend Analysis

• 5.1. Artificial Intelligence for IT Operations (AIOps) Platform Market: Key Takeaways
• 5.2. Artificial Intelligence for IT Operations (AIOps) Platform Market: Movement & Market Share Analysis, 2022 & 2030
• 5.3. Infrastructure Management
  • 5.3.1. Infrastructure management market estimates and forecasts, 2017 to 2030 (USD Million)
• 5.4. Application Performance Analysis
  • 5.4.1. Application performance analysis market estimates and forecasts, 2017 to 2030 (USD Million)
• 5.5. Real-Time Analytics
  • 5.5.1. Real-time analytics market estimates and forecasts, 2017 to 2030 (USD Million)
• 5.6. Network & Security Management
  • 5.6.1. Network & security management market estimates and forecasts, 2017 to 2030 (USD Million)
• 5.7. Others
  • 5.7.1. Others market estimates and forecasts, 2017 to 2030 (USD Million)

Chapter 6. Artificial Intelligence for IT Operations (AIOps) Platform Market: Deployment Mode Estimates & Trend Analysis

• 6.1. Artificial Intelligence for IT Operations (AIOps) Platform Market: Key Takeaways
• 6.2. Artificial Intelligence for IT Operations (AIOps) Platform Market: Movement & Market Share Analysis, 2022 & 2030
• 6.3. Cloud
  • 6.3.1. Cloud market estimates and forecasts, 2017 to 2030 (USD Million)
• 6.4. On-premise
  • 6.4.1. On-premise delivery market estimates and forecasts, 2017 to 2030 (USD Million)

Chapter 7. Artificial Intelligence for IT Operations (AIOps) Platform Market: Organization Size Estimates & Trend Analysis

• 7.1. Artificial Intelligence for IT Operations (AIOps) Platform Market: Key Takeaways
• 7.2. Artificial Intelligence for IT Operations (AIOps) Platform Market: Movement & Market Share Analysis, 2022 & 2030
• 7.3. SMEs
  • 7.3.1. SMEs market estimates and forecasts, 2017 to 2030 (USD Million)
• 7.4. Large Enterprises
  • 7.4.1. Large enterprises delivery market estimates and forecasts, 2017 to 2030 (USD Million)

Chapter 8. Artificial Intelligence for IT Operations (AIOps) Platform Market: Vertical Estimates & Trend Analysis

• 8.1. Artificial Intelligence for IT Operations (AIOps) Platform Market: Key Takeaways
• 8.2. Artificial Intelligence for IT Operations (AIOps) Platform Market: Movement & Market Share Analysis, 2022 & 2030
• 8.3. BFSI
  • 8.3.1. BFSI market estimates and forecasts, 2017 to 2030 (USD Million)
• 8.4. Healthcare & Life Sciences
  • 8.4.1. Healthcare & Life Sciences performance analysis market estimates and forecasts, 2017 to 2030 (USD Million)
• 8.5. Retail & E-commerce
  • 8.5.1. Retail & E-commerce market estimates and forecasts, 2017 to 2030 (USD Million)
• 8.6. IT & Telecom
  • 8.6.1. IT & Telecom market estimates and forecasts, 2017 to 2030 (USD Million)
• 8.7. Energy & Utilities
  • 8.7.1. Energy & Utilities market estimates and forecasts, 2017 to 2030 (USD Million)
• 8.8. Government & Public Sector
  • 8.8.1. Government & Public Sector market estimates and forecasts, 2017 to 2030 (USD Million)
• 8.9. Media & Entertainment
  • 8.9.1. Media & Entertainment market estimates and forecasts, 2017 to 2030 (USD Million)
• 8.10. Others
  • 8.10.1. Others market estimates and forecasts, 2017 to 2030 (USD Million)

Chapter 9. Artificial Intelligence for IT Operations (AIOps) Platform Market: Regional Estimates & Trend Analysis

• 9.1. Regional Outlook
• 9.2. Artificial Intelligence for IT Operations (AIOps) Platform Market by Region: Key Takeaway
• 9.3. North America
  • 9.3.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
  • 9.3.2. U.S.
    • 9.3.2.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
  • 9.3.3. Canada
    • 9.3.3.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
• 9.4. Europe
  • 9.4.1. UK
    • 9.4.1.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
  • 9.4.2. Germany
    • 9.4.2.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
  • 9.4.3. France
    • 9.4.3.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
• 9.5. Asia Pacific
  • 9.5.1. Japan
    • 9.5.1.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
  • 9.5.2. China
    • 9.5.2.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
  • 9.5.3. India
    • 9.5.3.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
  • 9.5.4. Australia
    • 9.5.4.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
  • 9.5.5. South Korea
    • 9.5.5.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
• 9.6. Latin America
  • 9.6.1. Brazil
    • 9.6.1.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
  • 9.6.2. Mexico
    • 9.6.2.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
• 9.7. MEA
  • 9.7.1. Saudi Arabia
    • 9.7.1.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
  • 9.7.2. South Africa
    • 9.7.2.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
  • 9.7.3. UAE
    • 9.7.3.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)

Chapter 10. Competitive Landscape

• 10.1. Recent Developments & Impact Analysis, By Key Market Participants
• 10.2. Market Participant Categorization
  • 10.2.1. AppDynamics
    • 10.2.1.1. Company overview
    • 10.2.1.2. Financial performance
    • 10.2.1.3. Product benchmarking
    • 10.2.1.4. Strategic initiatives
  • 10.2.2. BMC Software, Inc.
    • 10.2.2.1. Company overview
    • 10.2.2.2. Financial performance
    • 10.2.2.3. Product benchmarking
    • 10.2.2.4. Strategic initiatives
  • 10.2.3. Broadcom
    • 10.2.3.1. Company overview
    • 10.2.3.2. Financial performance
    • 10.2.3.3. Product benchmarking
    • 10.2.3.4. Strategic initiatives
  • 10.2.4. HCL Technologies Limited
    • 10.2.4.1. Company overview
    • 10.2.4.2. Financial performance
    • 10.2.4.3. Product benchmarking
    • 10.2.4.4. Strategic initiatives
  • 10.2.5. IBM Corporation
    • 10.2.5.1. Company overview
    • 10.2.5.2. Financial performance
    • 10.2.5.3. Product benchmarking
    • 10.2.5.4. Strategic initiatives
  • 10.2.6. Micro Focus
    • 10.2.6.1. Company overview
    • 10.2.6.2. Financial performance
    • 10.2.6.3. Product benchmarking
    • 10.2.6.4. Strategic initiatives
  • 10.2.7. Moogsoft
    • 10.2.7.1. Company overview
    • 10.2.7.2. Financial performance
    • 10.2.7.3. Product benchmarking
    • 10.2.7.4. Strategic initiatives
  • 10.2.8. ProphetStor Data Services, Inc.
    • 10.2.8.1. Company overview
    • 10.2.8.2. Financial performance
    • 10.2.8.3. Product benchmarking
    • 10.2.8.4. Strategic initiatives
  • 10.2.9. Resolve Systems
    • 10.2.9.1. Company overview
    • 10.2.9.2. Financial performance
    • 10.2.9.3. Product benchmarking
    • 10.2.9.4. Strategic initiatives
  • 10.2.10. Splunk Inc.
    • 10.2.10.1. Company overview
    • 10.2.10.2. Financial performance
    • 10.2.10.3. Product benchmarking
    • 10.2.10.4. Strategic initiatives
  • 10.2.11. VMware, Inc.
    • 10.2.11.1. Company overview
    • 10.2.11.2. Financial performance
    • 10.2.11.3. Product benchmarking
    • 10.2.11.4. Strategic initiatives