AIOpsプラットフォーム市場：コンポーネント、展開、組織規模、用途、業界別-2025年～2030年の世界予測

AIOpsプラットフォーム市場の2023年の市場規模は129億9,000万米ドルで、2024年には139億5,000万米ドルに成長し、CAGRは7.51%、2030年には215億7,000万米ドルに達すると予測されています。

ITオペレーションの進化は、人工知能の経営戦略への統合によって変曲点に達し、オペレーションのパラダイムを劇的に再構築しています。今日のダイナミックなテクノロジー環境において、組織はますますAIの力を活用し、前例のないレベルの自動化、効率化、予知保全を実現しつつあります。この変革は単なる技術的転換ではなく、企業が複雑性を管理し、パフォーマンスを最適化し、進化し続けるデジタル・エコシステムにおいて事業継続性を維持するための戦略的必須事項です。

膨大なデータセットを統合し、リアルタイムのアナリティクスを提供し、インテリジェントな自動化を実施する能力を備えたAIOpsプラットフォームは、この革命の中核を担っています。AIOpsプラットフォームは、最新のITインフラストラクチャの要として機能し、サービス提供に影響が及ぶ前に課題を予測する力をチームに与えます。本レポートでは、AIOpsの市場ポテンシャルを探るだけでなく、現代のITオペレーションを形成している戦略的シフトとセグメンテーション動向に関する洞察も提供しています。堅牢な自動化機能と深い分析力を基盤とするAIOpsは、市場の変化への迅速な適応を可能にし、企業の俊敏性と競争力の維持を保証します。

この後のディスカッションでは、これらのソリューションがもたらす変革の影響、成長を支える正確な市場セグメンテーション、戦略的方向性に影響を与える重要な地域力学について掘り下げます。これらの要素を理解することで、利害関係者は市場のニュアンスをより的確に把握し、長期的な成功を確かなものにするために、十分な情報に基づいた意思決定を行うことができます。

AIOpsエコシステムにおける変革的変化

AIOpsの状況は、テクノロジーと市場力学のシフトに後押しされて大きく変化しています。世界中の組織が従来のIT運用モデルを見直し、よりプロアクティブでインテリジェンス主導のアプローチへと、リアクティブな問題管理から移行しています。この変化は、急速なデジタル化、クラウドの導入、サイバー脅威の高度化によって、投資の優先順位が大きく変化し、新しいタイプの運用ツールが求められていることを意味しています。

デジタルトランスフォーメーション・イニシアチブの高まりを背景に、AIOps市場では、リアルタイムの意思決定を可能にする高度なアナリティクス、機械学習、自動化が合流しつつあります。最新のAIOpsソリューションは既存のインフラにシームレスに統合され、ビッグデータのパワーを活用してシステムの異常を予測し、IT投資を最適化します。このアプローチは一面的ではありません。IT運用と戦略的なビジネス成果のギャップを埋める強化された機能が組み込まれており、運用の健全性がビジネス・パフォーマンスと整合していることを保証します。

クラウド技術とハイブリッド環境への投資がAIOps市場を強化し、イノベーションのための肥沃な土壌を作り出しています。企業は、急速に拡大するデータソースを管理できる拡張性と柔軟性を備えたソリューションをますます優先するようになっています。戦略的提携やパートナーシップ、そしてAIアルゴリズムの急速な進化が、市場での競争力強化に拍車をかけています。企業はこうした最先端のアプローチに傾注することで、業務効率と戦略的な先見性を融合させた戦略を構築しています。

さらに、AIOpsの採用は、サイバーセキュリティ対策の強化が急務となっていることや、特に厳格なコンプライアンスやパフォーマンス基準が適用される業界では、システムの信頼性向上が求められていることが背景にあります。予測分析とプロアクティブな修復を通じて、企業はダウンタイムを回避するだけでなく、オペレーションの回復力を高めることにも成功しています。このような変革的なシフトが続く中、一部の主要プレーヤーが技術革新の先頭に立ち、性能と信頼性のベンチマークを設定することで、市場の統合が進むとみられています。

市場力学を牽引する主要セグメンテーションの洞察

市場を形成する特定の促進要因や独自の成長要因を浮き彫りにする戦略的セグメンテーションを通じて評価すれば、市場の微妙な理解が明らかになります。基本的に、市場は顧客ニーズと技術展開に関する詳細な視点を提供するいくつかの重要な次元に基づいてセグメント化されます。市場を構成要素に基づいて検討する場合、プラットフォームとサービスの区別が極めて重要です。サービスの中でも、コンサルティング、インプリメンテーション、システムインテグレーションなどの詳細なカテゴリは、AIOpsテクノロジーを十分に活用するために必要な専門知識の幅広さを示しています。

さらに、導入タイプ別にセグメンテーションすると、クラウドベースのソリューションがその拡張性と適応性により急速に普及している一方で、オンプレミス型の導入は、厳しいセキュリティ要件やレガシーシステムへの依存を抱える組織にとって依然として不可欠であることがわかる。さらに、組織規模に基づくセグメンテーションでは、複雑で多面的な要件を持つ大企業と、コスト効率に優れた俊敏なソリューションを求める中小企業という、多様な戦略の概要が示されています。

アプリケーションの観点から市場動向を調査し、アプリケーション・パフォーマンス分析、インフラ管理、ネットワーク・セキュリティ管理、リアルタイム分析などの領域を通して情勢を分析します。これらの各側面は、業務効率の維持だけでなく、測定可能なビジネス成果につながるイノベーションの推進においても重要な役割を果たしています。BFSI、エネルギー・公益事業、政府・防衛、ヘルスケア・ライフサイエンス、IT・通信、メディア・エンターテインメント、小売・eコマースなどの分野別に市場を調査しているため、業界別セグメンテーションは分析をさらに充実させています。このように正確に分類することで、各業界の多様なニーズや独自の課題を明確に理解し、ソリューションの提供や戦略立案の両面で対応できるようにしています。

これらのセグメンテーションの次元を相互にリンクさせることで、市場は多面的であり、あらゆる機会を捉えるためには、それぞれに合わせたアプローチが不可欠であることが明らかになります。コンポーネント分析、展開、組織規模の視点、さらにアプリケーションや業種別の考察を統合することで、テクノロジー・プロバイダも導入企業も、それぞれのソリューションをターゲット市場の正確な需要に合わせることができるようになります。この全体的なセグメンテーション戦略は、進化し続けるAIOpsの状況を理解し、ナビゲートするための中核であり、イノベーションと実装の両方を導くロードマップとして機能します。

目次

第1章 序文

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 市場の概要

第5章 市場洞察

• 市場力学
  • 促進要因
    • 急速に成長するITインフラストラクチャと、大量データ管理に関連するITの複雑さの増大
    • ネットワークの問題を事前に予測し、ネットワークパフォーマンスを最適化するための予測分析の需要が高まっています
  • 抑制要因
    • AIOpsプラットフォームの実装と保守の複雑さ
  • 機会
    • 高度なAIOpsプラットフォームの開発と発売
    • AIOpsは経済全体のさまざまな規制要件を満たす高い可能性を秘めている
  • 課題
    • AIOps統合に関連するデータセキュリティとプライバシーの懸念
• 市場セグメンテーション分析
  • コンポーネント：効率的で実績のあるサービス提供に対するニーズの高まり
  • 導入：初期コストを抑えながら、高いスケーラビリティを提供するクラウドベースのモデルの導入を拡大
  • 組織規模：複雑なIT運用によりスケーラビリティと自動化を優先する大企業からのAIOpsの需要が高まっています。
  • アプリケーション：ネットワークおよびセキュリティ管理アプリケーションにおけるAIOpsプラットフォームの大幅な導入
  • 業種：強力な予測保守機能を備えたエネルギーおよび公益事業におけるAIOpsの採用増加
• ポーターのファイブフォース分析
• PESTEL分析
  • 政治的
  • 経済
  • 社会
  • 技術的
  • 法律上
  • 環境

第6章 AIOpsプラットフォーム市場：コンポーネント別

• プラットフォーム
• サービス
  • コンサルティング
  • 実装
  • システム統合

第7章 AIOpsプラットフォーム市場：展開別

• クラウド
• オンプレミス

第8章 AIOpsプラットフォーム市場：組織規模別

• 大企業
• 中小企業

第9章 AIOpsプラットフォーム市場：用途別

• アプリケーションパフォーマンス分析
• インフラ管理
• ネットワークとセキュリティ管理
• リアルタイム分析

第10章 AIOpsプラットフォーム市場：業界別

• BFSI
• エネルギー・公益事業
• 政府と防衛
• ヘルスケアとライフサイエンス
• IT・通信
• メディア＆エンターテインメント
• 小売・eコマース

第11章 南北アメリカのAIOpsプラットフォーム市場

• アルゼンチン
• ブラジル
• カナダ
• メキシコ
• 米国

第12章 アジア太平洋地域のAIOpsプラットフォーム市場

• オーストラリア
• 中国
• インド
• インドネシア
• 日本
• マレーシア
• フィリピン
• シンガポール
• 韓国
• 台湾
• タイ
• ベトナム

第13章 欧州・中東・アフリカのAIOpsプラットフォーム市場

• デンマーク
• エジプト
• フィンランド
• フランス
• ドイツ
• イスラエル
• イタリア
• オランダ
• ナイジェリア
• ノルウェー
• ポーランド
• カタール
• ロシア
• サウジアラビア
• 南アフリカ
• スペイン
• スウェーデン
• スイス
• トルコ
• アラブ首長国連邦
• 英国

第14章 競合情勢

• 市場シェア分析, 2023
• FPNVポジショニングマトリックス, 2023
• 競合シナリオ分析
• 戦略分析と提言

企業一覧

• Amazon Web Services, Inc.
• BigPanda, Inc.
• BMC Software, Inc.
• Broadcom Inc.
• Cisco Systems, Inc.
• CloudFabrix Software Inc.
• Cloudwise
• Datadog, Inc.
• Dell Inc.
• Dynatrace, Inc.
• Elasticsearch B.V.
• GAVS Technologies
• Google LLC by Alphabet Inc.
• HCL Technologies Limited
• Hewlett Packard Enterprise Company
• Hexaware Technologies Limited
• Infosys Ltd.
• International Business Machines Corporation
• LogicMonitor Inc.
• LTIMindtree Limited
• MeshIQ
• Microsoft Corporation
• Netreo, Inc.
• New Relic, Inc.
• OKESTRO Co., Ltd.
• OpenText Corporation
• Oracle Corporation
• PagerDuty, Inc.
• Prodapt Solutions Private Limited
• ProphetStor Data Services, Inc.
• ScienceLogic, Inc.
• Selector Software, Inc.
• ServiceNow, Inc.
• Tata Consultancy Services Limited
• Tech Mahindra Limited
• VuNet Systems Private Limited
• Wipro Limited
• Zenoss Inc.
• Zoho Corporation

LIST OF FIGURES

• FIGURE 1. AIOPS PLATFORM MARKET MULTI-CURRENCY
• FIGURE 2. AIOPS PLATFORM MARKET MULTI-LANGUAGE
• FIGURE 3. AIOPS PLATFORM MARKET RESEARCH PROCESS
• FIGURE 4. AIOPS PLATFORM MARKET SIZE, 2023 VS 2030
• FIGURE 5. GLOBAL AIOPS PLATFORM MARKET SIZE, 2018-2030 (USD MILLION)
• FIGURE 6. GLOBAL AIOPS PLATFORM MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 7. GLOBAL AIOPS PLATFORM MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 8. GLOBAL AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
• FIGURE 9. GLOBAL AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 10. GLOBAL AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2023 VS 2030 (%)
• FIGURE 11. GLOBAL AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 12. GLOBAL AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2023 VS 2030 (%)
• FIGURE 13. GLOBAL AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 14. GLOBAL AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
• FIGURE 15. GLOBAL AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 16. GLOBAL AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2023 VS 2030 (%)
• FIGURE 17. GLOBAL AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 18. AMERICAS AIOPS PLATFORM MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 19. AMERICAS AIOPS PLATFORM MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 20. UNITED STATES AIOPS PLATFORM MARKET SIZE, BY STATE, 2023 VS 2030 (%)
• FIGURE 21. UNITED STATES AIOPS PLATFORM MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 22. ASIA-PACIFIC AIOPS PLATFORM MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 23. ASIA-PACIFIC AIOPS PLATFORM MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 24. EUROPE, MIDDLE EAST & AFRICA AIOPS PLATFORM MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 25. EUROPE, MIDDLE EAST & AFRICA AIOPS PLATFORM MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 26. AIOPS PLATFORM MARKET SHARE, BY KEY PLAYER, 2023
• FIGURE 27. AIOPS PLATFORM MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

• TABLE 1. AIOPS PLATFORM MARKET SEGMENTATION & COVERAGE
• TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
• TABLE 3. GLOBAL AIOPS PLATFORM MARKET SIZE, 2018-2030 (USD MILLION)
• TABLE 4. GLOBAL AIOPS PLATFORM MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 5. GLOBAL AIOPS PLATFORM MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 6. AIOPS PLATFORM MARKET DYNAMICS
• TABLE 7. GLOBAL AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 8. GLOBAL AIOPS PLATFORM MARKET SIZE, BY PLATFORM, BY REGION, 2018-2030 (USD MILLION)
• TABLE 9. GLOBAL AIOPS PLATFORM MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 10. GLOBAL AIOPS PLATFORM MARKET SIZE, BY CONSULTING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 11. GLOBAL AIOPS PLATFORM MARKET SIZE, BY IMPLEMENTATION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 12. GLOBAL AIOPS PLATFORM MARKET SIZE, BY SYSTEM INTEGRATION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 13. GLOBAL AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 14. GLOBAL AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 15. GLOBAL AIOPS PLATFORM MARKET SIZE, BY CLOUD, BY REGION, 2018-2030 (USD MILLION)
• TABLE 16. GLOBAL AIOPS PLATFORM MARKET SIZE, BY ON-PREMISE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 17. GLOBAL AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 18. GLOBAL AIOPS PLATFORM MARKET SIZE, BY LARGE ENTERPRISES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 19. GLOBAL AIOPS PLATFORM MARKET SIZE, BY SMALL & MEDIUM ENTERPRISES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 20. GLOBAL AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 21. GLOBAL AIOPS PLATFORM MARKET SIZE, BY APPLICATION PERFORMANCE ANALYSIS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 22. GLOBAL AIOPS PLATFORM MARKET SIZE, BY INFRASTRUCTURE MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
• TABLE 23. GLOBAL AIOPS PLATFORM MARKET SIZE, BY NETWORK & SECURITY MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
• TABLE 24. GLOBAL AIOPS PLATFORM MARKET SIZE, BY REAL-TIME ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 25. GLOBAL AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 26. GLOBAL AIOPS PLATFORM MARKET SIZE, BY BFSI, BY REGION, 2018-2030 (USD MILLION)
• TABLE 27. GLOBAL AIOPS PLATFORM MARKET SIZE, BY ENERGY & UTILITIES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 28. GLOBAL AIOPS PLATFORM MARKET SIZE, BY GOVERNMENT & DEFENSE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 29. GLOBAL AIOPS PLATFORM MARKET SIZE, BY HEALTHCARE & LIFE SCIENCES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 30. GLOBAL AIOPS PLATFORM MARKET SIZE, BY IT & TELECOM, BY REGION, 2018-2030 (USD MILLION)
• TABLE 31. GLOBAL AIOPS PLATFORM MARKET SIZE, BY MEDIA & ENTERTAINMENT, BY REGION, 2018-2030 (USD MILLION)
• TABLE 32. GLOBAL AIOPS PLATFORM MARKET SIZE, BY RETAIL & ECOMMERCE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 33. AMERICAS AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 34. AMERICAS AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 35. AMERICAS AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 36. AMERICAS AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 37. AMERICAS AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 38. AMERICAS AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 39. AMERICAS AIOPS PLATFORM MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 40. ARGENTINA AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 41. ARGENTINA AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 42. ARGENTINA AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 43. ARGENTINA AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 44. ARGENTINA AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 45. ARGENTINA AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 46. BRAZIL AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 47. BRAZIL AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 48. BRAZIL AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 49. BRAZIL AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 50. BRAZIL AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 51. BRAZIL AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 52. CANADA AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 53. CANADA AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 54. CANADA AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 55. CANADA AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 56. CANADA AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 57. CANADA AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 58. MEXICO AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 59. MEXICO AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 60. MEXICO AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 61. MEXICO AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 62. MEXICO AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 63. MEXICO AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 64. UNITED STATES AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 65. UNITED STATES AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 66. UNITED STATES AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 67. UNITED STATES AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 68. UNITED STATES AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 69. UNITED STATES AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 70. UNITED STATES AIOPS PLATFORM MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
• TABLE 71. ASIA-PACIFIC AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 72. ASIA-PACIFIC AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 73. ASIA-PACIFIC AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 74. ASIA-PACIFIC AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 75. ASIA-PACIFIC AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 76. ASIA-PACIFIC AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 77. ASIA-PACIFIC AIOPS PLATFORM MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 78. AUSTRALIA AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 79. AUSTRALIA AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 80. AUSTRALIA AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 81. AUSTRALIA AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 82. AUSTRALIA AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 83. AUSTRALIA AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 84. CHINA AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 85. CHINA AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 86. CHINA AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 87. CHINA AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 88. CHINA AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 89. CHINA AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 90. INDIA AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 91. INDIA AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 92. INDIA AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 93. INDIA AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 94. INDIA AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 95. INDIA AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 96. INDONESIA AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 97. INDONESIA AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 98. INDONESIA AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 99. INDONESIA AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 100. INDONESIA AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 101. INDONESIA AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 102. JAPAN AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 103. JAPAN AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 104. JAPAN AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 105. JAPAN AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 106. JAPAN AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 107. JAPAN AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 108. MALAYSIA AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 109. MALAYSIA AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 110. MALAYSIA AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 111. MALAYSIA AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 112. MALAYSIA AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 113. MALAYSIA AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 114. PHILIPPINES AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 115. PHILIPPINES AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 116. PHILIPPINES AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 117. PHILIPPINES AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 118. PHILIPPINES AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 119. PHILIPPINES AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 120. SINGAPORE AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 121. SINGAPORE AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 122. SINGAPORE AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 123. SINGAPORE AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 124. SINGAPORE AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 125. SINGAPORE AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 126. SOUTH KOREA AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 127. SOUTH KOREA AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 128. SOUTH KOREA AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 129. SOUTH KOREA AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 130. SOUTH KOREA AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 131. SOUTH KOREA AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 132. TAIWAN AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 133. TAIWAN AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 134. TAIWAN AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 135. TAIWAN AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 136. TAIWAN AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 137. TAIWAN AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 138. THAILAND AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 139. THAILAND AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 140. THAILAND AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 141. THAILAND AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 142. THAILAND AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 143. THAILAND AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 144. VIETNAM AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 145. VIETNAM AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 146. VIETNAM AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 147. VIETNAM AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 148. VIETNAM AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 149. VIETNAM AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 150. EUROPE, MIDDLE EAST & AFRICA AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 151. EUROPE, MIDDLE EAST & AFRICA AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 152. EUROPE, MIDDLE EAST & AFRICA AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 153. EUROPE, MIDDLE EAST & AFRICA AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 154. EUROPE, MIDDLE EAST & AFRICA AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 155. EUROPE, MIDDLE EAST & AFRICA AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 156. EUROPE, MIDDLE EAST & AFRICA AIOPS PLATFORM MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 157. DENMARK AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 158. DENMARK AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 159. DENMARK AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 160. DENMARK AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 161. DENMARK AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 162. DENMARK AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 163. EGYPT AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 164. EGYPT AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 165. EGYPT AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 166. EGYPT AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 167. EGYPT AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 168. EGYPT AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 169. FINLAND AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 170. FINLAND AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 171. FINLAND AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 172. FINLAND AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 173. FINLAND AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 174. FINLAND AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 175. FRANCE AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 176. FRANCE AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 177. FRANCE AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 178. FRANCE AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 179. FRANCE AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 180. FRANCE AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 181. GERMANY AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 182. GERMANY AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 183. GERMANY AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 184. GERMANY AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 185. GERMANY AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 186. GERMANY AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 187. ISRAEL AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 188. ISRAEL AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 189. ISRAEL AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 190. ISRAEL AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 191. ISRAEL AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 192. ISRAEL AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 193. ITALY AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 194. ITALY AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 195. ITALY AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 196. ITALY AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 197. ITALY AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 198. ITALY AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 199. NETHERLANDS AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 200. NETHERLANDS AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 201. NETHERLANDS AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 202. NETHERLANDS AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 203. NETHERLANDS AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 204. NETHERLANDS AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 205. NIGERIA AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 206. NIGERIA AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 207. NIGERIA AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 208. NIGERIA AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 209. NIGERIA AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 210. NIGERIA AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 211. NORWAY AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 212. NORWAY AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 213. NORWAY AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 214. NORWAY AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 215. NORWAY AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 216. NORWAY AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 217. POLAND AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 218. POLAND AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 219. POLAND AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 220. POLAND AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 221. POLAND AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 222. POLAND AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 223. QATAR AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 224. QATAR AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 225. QATAR AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 226. QATAR AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 227. QATAR AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 228. QATAR AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 229. RUSSIA AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 230. RUSSIA AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 231. RUSSIA AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 232. RUSSIA AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 233. RUSSIA AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 234. RUSSIA AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 235. SAUDI ARABIA AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 236. SAUDI ARABIA AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 237. SAUDI ARABIA AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 238. SAUDI ARABIA AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 239. SAUDI ARABIA AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 240. SAUDI ARABIA AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 241. SOUTH AFRICA AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 242. SOUTH AFRICA AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 243. SOUTH AFRICA AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 244. SOUTH AFRICA AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 245. SOUTH AFRICA AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 246. SOUTH AFRICA AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 247. SPAIN AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 248. SPAIN AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 249. SPAIN AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 250. SPAIN AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 251. SPAIN AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 252. SPAIN AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 253. SWEDEN AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 254. SWEDEN AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 255. SWEDEN AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 256. SWEDEN AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 257. SWEDEN AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 258. SWEDEN AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 259. SWITZERLAND AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 260. SWITZERLAND AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 261. SWITZERLAND AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 262. SWITZERLAND AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 263. SWITZERLAND AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 264. SWITZERLAND AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 265. TURKEY AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 266. TURKEY AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 267. TURKEY AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 268. TURKEY AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 269. TURKEY AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 270. TURKEY AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 271. UNITED ARAB EMIRATES AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 272. UNITED ARAB EMIRATES AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 273. UNITED ARAB EMIRATES AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 274. UNITED ARAB EMIRATES AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 275. UNITED ARAB EMIRATES AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 276. UNITED ARAB EMIRATES AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 277. UNITED KINGDOM AIOPS PLATFORM MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 278. UNITED KINGDOM AIOPS PLATFORM MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 279. UNITED KINGDOM AIOPS PLATFORM MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 280. UNITED KINGDOM AIOPS PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 281. UNITED KINGDOM AIOPS PLATFORM MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 282. UNITED KINGDOM AIOPS PLATFORM MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 283. AIOPS PLATFORM MARKET SHARE, BY KEY PLAYER, 2023
• TABLE 284. AIOPS PLATFORM MARKET, FPNV POSITIONING MATRIX, 2023

The AIOps Platform Market was valued at USD 12.99 billion in 2023 and is projected to grow to USD 13.95 billion in 2024, with a CAGR of 7.51%, reaching USD 21.57 billion by 2030.

The evolution of IT operations has reached an inflection point with the integration of Artificial Intelligence into management strategies, dramatically reshaping the operational paradigm. In today's dynamic technology environment, organizations are increasingly harnessing the power of AI to deliver unprecedented levels of automation, efficiency, and predictive maintenance. This transformation is not merely a technological shift but a strategic imperative that helps companies manage complexity, optimize performance, and maintain business continuity in an ever-evolving digital ecosystem.

AIOps platforms, with their ability to integrate vast datasets, deliver real-time analytics, and enforce intelligent automation, are at the heart of this revolution. They serve as the linchpin for modern IT infrastructures, empowering teams to anticipate challenges before they impact service delivery. This report not only explores the market potential of AIOps but also provides insights into the strategic shifts and segmentation trends that are shaping contemporary IT operations. With a foundation built on robust automation capabilities and deep analytics, AIOps enables quick adaptation to market changes, ensuring that enterprises remain agile and competitive.

The discussion that follows delves into the transformative impacts of these solutions, the precise market segmentation that underpins growth, and the critical regional dynamics influencing strategic direction. By understanding these elements, stakeholders can better navigate the nuances of the market and drive informed decisions that ensure long-term success.

Transformative Shifts in the AIOps Ecosystem

The AIOps landscape is undergoing profound changes propelled by shifts in both technology and market dynamics. Organizations worldwide are rethinking legacy IT operations models, moving away from reactive problem management towards a more proactive, intelligence-driven approach. This shift is marked by a significant transition in investment priorities, where rapid digitalization, cloud adoption, and the increasing sophistication of cyber threats demand a new breed of operational tools.

Marked by the rise in digital transformation initiatives, the AIOps market is witnessing a confluence of advanced analytics, machine learning, and automation that enables real-time decision making. Modern AIOps solutions seamlessly integrate into existing infrastructures, harnessing the power of big data to predict system anomalies and optimize IT investments. The approach is not one-dimensional. It incorporates enhanced capabilities that bridge the gap between IT operations and strategic business outcomes, ensuring that operational health is aligned with business performance.

Investments in cloud technologies and hybrid environments have bolstered the AIOps market, creating fertile ground for innovation. Enterprises are increasingly prioritizing solutions that offer scalability and flexibility to manage rapidly expanding data sources. Strategic alliances and partnerships, as well as the rapid evolution of AI algorithms, are fueling competitive differentiation in the market. As companies lean into these cutting-edge approaches, they are crafting strategies that merge operational efficiency with strategic foresight.

Moreover, the adoption of AIOps is driven by the urgent need for enhanced cybersecurity measures and the demand for higher system reliability, particularly in industries subject to strict compliance and performance standards. Through predictive analytics and proactive remediation, businesses are not only avoiding downtime but also driving operational resilience. As this transformative shift continues, the market is set to become more consolidated, with a few key players spearheading innovation and setting benchmarks for performance and reliability.

Key Segmentation Insights Driving Market Dynamics

A nuanced understanding of the market is unveiled when assessed through strategic segmentation, which highlights the specific drivers and unique growth factors shaping the industry. Fundamentally, the market is segmented based on several critical dimensions that offer a granular perspective on customer needs and technological deployment. When examining the market based on component, the distinction between platforms and services is pivotal. Within services, detailed categories such as consulting, implementation, and system integration demonstrate the breadth of expertise required to fully leverage AIOps technologies.

Further segmentation by deployment type reveals that cloud-based solutions are rapidly gaining traction due to their scalability and adaptability, while on-premise deployments remain vital for organizations with stringent security requirements or legacy system dependencies. Additionally, segmentation based on organization size outlines diverse strategies: large enterprises with complex, multifaceted requirements contrast with small and medium enterprises that seek cost-effective, agile solutions.

Examining market trends from an application perspective, the landscape is analyzed through domains like application performance analysis, infrastructure management, network and security management, and real-time analytics. Each of these facets plays a crucial role in not only sustaining operational efficiency but also in driving innovations that lead to measurable business outcomes. Vertical segmentation further enriches the analysis, as the market is studied across sectors such as BFSI, energy and utilities, government and defense, healthcare and life sciences, IT and telecom, media and entertainment, as well as retail and eCommerce. This precise categorization ensures that the diverse needs and unique challenges of each industry vertical are clearly understood and addressed in both solution offerings and strategic planning.

By interlinking these segmentation dimensions, it becomes evident that the market is multifaceted and that tailored approaches are essential to capture the full spectrum of opportunities. The integration of component analysis, deployment and organization size perspectives, as well as application and vertical considerations, ensures that technology providers and adopters alike can align their solutions with the precise demands of their target markets. This holistic segmentation strategy is at the core of understanding and navigating the ever-evolving AIOps landscape, serving as a roadmap that guides both innovation and implementation.

Based on Component, market is studied across Platform and Services. The Services is further studied across Consulting, Implementation, and System Integration.

Based on Deployment, market is studied across Cloud and On-premise.

Based on Organization Size, market is studied across Large Enterprises and Small & Medium Enterprises.

Based on Application, market is studied across Application Performance Analysis, Infrastructure Management, Network & Security Management, and Real-Time Analytics.

Based on Vertical, market is studied across BFSI, Energy & Utilities, Government & Defense, Healthcare & Life Sciences, IT & Telecom, Media & Entertainment, and Retail & eCommerce.

Critical Regional Insights Influencing Growth

Regional dynamics play an instrumental role in the growth trajectory of the AIOps market. Market evolution varies significantly across different geographies, where economic initiatives, regulatory environments, and technological maturity have a pronounced impact on adoption rates and application strategies. In the Americas, market expansion is fueled by swift technological adoption, robust digital transformation initiatives, and an ecosystem ripe with venture capital and entrepreneurial spirit. Several organizations in this region have embarked on aggressive digital modernization programs to enhance operational efficiency and foster innovation.

The Europe, Middle East & Africa region exhibits a unique blend of regulatory rigor and market adaptability. Here, governments and private sectors alike focus on enhancing digital infrastructures while ensuring compliance with stringent data protection regulations. This region's balanced approach towards innovation and compliance encourages the integration of AIOps solutions that are both cutting-edge and secure, satisfying the dual demand for performance and regulatory adherence. Meanwhile, businesses are rapidly leveraging these tools to streamline operational workflows, reduce manual errors, and ultimately drive growth in competitive industries.

In the Asia-Pacific region, rapid urbanization, economic growth, and escalating investments in technology infrastructure are significant drivers of market expansion. The region's diverse economic landscape presents both opportunities and challenges in the implementation of AIOps platforms. However, the increasing focus on digitization, coupled with the drive to enhance customer experiences and operational resilience, is making the region one of the most promising markets for AIOps adoption. This dynamic environment encourages innovation and drives competitive pricing strategies, facilitating widespread adoption across sectors.

Each of these regions contributes distinct insights into the overall market dynamics. Understanding the interplay between technological readiness and regional economic policies is essential for stakeholders aiming to deploy AIOps solutions effectively. By aligning product offerings with regional trends and local market requirements, technology providers can better tailor their strategies to optimize market penetration and accelerate growth.

Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

Leading Companies Shaping the Market Landscape

The intricate tapestry of the AIOps market is woven together by the influence and innovation of leading companies. Globally recognized technology giants and niche innovators alike are redefining operational landscapes through their pioneering solutions. Market leaders such as Amazon Web Services, Inc. and BigPanda, Inc. lay the groundwork with their robust cloud and data analytics platforms, while pioneers like BMC Software, Inc. and Broadcom Inc. drive the evolution of IT management and security solutions.

Companies such as Cisco Systems, Inc. and CloudFabrix Software Inc. have contributed substantially to the orchestration of digital operations with advanced analytics tools. Cloudwise and Datadog, Inc. have become synonymous with real-time monitoring and proactive anomaly detection, pushing the boundaries of automated IT management. Moreover, organizations like Dell Inc. and Dynatrace, Inc. are at the forefront, ensuring that system performance aligns with business objectives, while Elasticsearch B.V. and GAVS Technologies demonstrate the power of data to transform operational efficiency.

Furthermore, innovations driven by tech titans including Google LLC by Alphabet Inc., HCL Technologies Limited, and Hewlett Packard Enterprise Company continue to elevate the industry's standards, shaping the competitive landscape through continuous research and development. Hexaware Technologies Limited and Infosys Ltd. play an influential role in streamlining system integration and ensuring seamless digital transitions for enterprises. The influence extends further to International Business Machines Corporation and LogicMonitor Inc., among others, which are instrumental in developing the comprehensive frameworks that underpin today's AIOps solutions.

Additional key players such as LTIMindtree Limited, MeshIQ, Microsoft Corporation, and Netreo, Inc. contribute to the market with innovative deployment models and bespoke solutions. New Relic, Inc., in combination with companies like OKESTRO Co., Ltd. and OpenText Corporation, opens up opportunities in predictive analytics and real-time data visualization. The competitive field is further enriched by the presence of Oracle Corporation, PagerDuty, Inc., and Prodapt Solutions Private Limited, all of which are redefining operational resilience while ensuring business continuity. ProphetStor Data Services, Inc., ScienceLogic, Inc., Selector Software, Inc., and ServiceNow, Inc. stand out for their contributions to enhancing the scope of monitoring and management capabilities. Lastly, leading consulting and technology services providers such as Tata Consultancy Services Limited, Tech Mahindra Limited, VuNet Systems Private Limited, Wipro Limited, Zenoss Inc., and Zoho Corporation complete this formidable lineup. Their strategic innovations and comprehensive service portfolios guide the market toward a future defined by smarter, more efficient, and more secure IT operations.

The report delves into recent significant developments in the AIOps Platform Market, highlighting leading vendors and their innovative profiles. These include Amazon Web Services, Inc., BigPanda, Inc., BMC Software, Inc., Broadcom Inc., Cisco Systems, Inc., CloudFabrix Software Inc., Cloudwise, Datadog, Inc., Dell Inc., Dynatrace, Inc., Elasticsearch B.V., GAVS Technologies, Google LLC by Alphabet Inc., HCL Technologies Limited, Hewlett Packard Enterprise Company, Hexaware Technologies Limited, Infosys Ltd., International Business Machines Corporation, LogicMonitor Inc., LTIMindtree Limited, MeshIQ, Microsoft Corporation, Netreo, Inc., New Relic, Inc., OKESTRO Co., Ltd., OpenText Corporation, Oracle Corporation, PagerDuty, Inc., Prodapt Solutions Private Limited, ProphetStor Data Services, Inc., ScienceLogic, Inc., Selector Software, Inc., ServiceNow, Inc., Tata Consultancy Services Limited, Tech Mahindra Limited, VuNet Systems Private Limited, Wipro Limited, Zenoss Inc., and Zoho Corporation. Actionable Recommendations for Industry Leaders

Industry leaders must take decisive action to harness the full potential of AIOps platforms. In an era marked by rapid technological advancement, it is imperative to develop strategies that both accommodate current realities and anticipate future market needs. Decision-makers should begin by undertaking a thorough evaluation of their existing IT environments to identify operational bottlenecks that AIOps solutions can address effectively. It is essential to integrate scalable AIOps tools that can evolve alongside business demands, reducing manual intervention and enhancing operational continuity.

A critical recommendation is to invest in comprehensive security protocols coupled with AI-driven analytics to mitigate risks and ensure the integrity of digital infrastructures. Organizations must focus on aligning technological investments with strategic objectives by prioritizing solutions that deliver measurable performance improvements. Embracing agile methodologies and continuous feedback loops can foster a culture of innovation that is both resilient and adaptive. Furthermore, decision-makers are encouraged to develop partnerships with technology experts and industry consultants to gain deeper insights into emerging trends and best practices.

In addition, leaders should assess their organization's readiness across key segmentation dimensions-whether it be deployment models (cloud or on-premise), organization size considerations, or industry-specific applications-to tailor solution implementations effectively. Such a targeted approach allows for a more efficient allocation of resources, ensuring that new technologies are deployed in a manner that maximizes return on investment. Regularly benchmarking performance metrics and keeping abreast of technological advancements is crucial to stay ahead of the curve.

The integration of AIOps platforms presents an opportunity to transform traditional operational paradigms into a proactive, data-driven future where decision-making is both informed and agile. By following these actionable recommendations, industry leaders can not only reduce operational risks but also pave the way for sustainable growth and competitive differentiation in an increasingly complex digital landscape.

Conclusion: Strategic Insights and Future Outlook

In conclusion, the current exploration of the AIOps landscape reveals an industry characterized by rapid innovation, strategic segmentation, and significant regional differentiation. The transformative shifts discussed herein highlight the crucial role of AI-driven automation and advanced analytics in redefining IT operations. With technology landscapes evolving at breakneck speed, organizations must remain agile, continuously adapting to capitalize on emerging opportunities while mitigating inherent risks.

The in-depth segmentation analysis developed in this report provides valuable clarity on the underlying drivers of market growth. By understanding distinctions across components, deployment models, organization sizes, application categories, and verticals, decision-makers can craft more precise strategies to meet the varying demands of a multifaceted market. Furthermore, the regional insights emphasize the importance of tailoring solutions to local market dynamics, ensuring that technological deployments are both contextually relevant and operationally sound.

In a landscape shaped by influential companies that consistently push the boundaries of innovation, the role of strategic planning and technological foresight cannot be overstated. As enterprises navigate the convergence of IT operations and Artificial Intelligence, a proactive approach-underpinned by analytical rigor and strategic partnerships-will be key to unlocking new levels of efficiency and resilience. Overall, the future outlook of the market is robust, with growth expected to be driven by advancements in cloud technology, real-time analytics, and the continuous refinement of AI algorithms.

For industry stakeholders, the journey ahead is one of both challenge and promise. Embracing these insights not only prepares organizations to thrive in the current environment but also positions them to lead the charge in the next phase of digital transformation.

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Rapidly growing IT infrastructure and rising IT complexities related to high-volume data management
    • 5.1.1.2. Growing demand for predictive analytics to preempt network issues and optimize network performance
  • 5.1.2. Restraints
    • 5.1.2.1. Complexities in implementing and maintaining AIOps platforms
  • 5.1.3. Opportunities
    • 5.1.3.1. Development and launch of advanced AIOps platforms
    • 5.1.3.2. High potential for AIOps to meet varied regulatory requirements across economies
  • 5.1.4. Challenges
    • 5.1.4.1. Data security and privacy concerns associated with AIOps integration
• 5.2. Market Segmentation Analysis
  • 5.2.1. Component: Rising need for efficient and proven service offerings
  • 5.2.2. Deployment: Growing deployment of cloud-based models with less upfront cost, offering high scalability
  • 5.2.3. Organization Size: Rising demand for AIOps from large enterprises prioritizing scalability and automation due to complex IT operations
  • 5.2.4. Application: Significant adoption of AIOps platforms for network and security management applications
  • 5.2.5. Vertical: Higher adoption of AIOps in energy & utilities with strong predictive maintenance capabilities
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. AIOps Platform Market, by Component

• 6.1. Introduction
• 6.2. Platform
• 6.3. Services
  • 6.3.1. Consulting
  • 6.3.2. Implementation
  • 6.3.3. System Integration

7. AIOps Platform Market, by Deployment

• 7.1. Introduction
• 7.2. Cloud
• 7.3. On-premise

8. AIOps Platform Market, by Organization Size

• 8.1. Introduction
• 8.2. Large Enterprises
• 8.3. Small & Medium Enterprises

9. AIOps Platform Market, by Application

• 9.1. Introduction
• 9.2. Application Performance Analysis
• 9.3. Infrastructure Management
• 9.4. Network & Security Management
• 9.5. Real-Time Analytics

10. AIOps Platform Market, by Vertical

• 10.1. Introduction
• 10.2. BFSI
• 10.3. Energy & Utilities
• 10.4. Government & Defense
• 10.5. Healthcare & Life Sciences
• 10.6. IT & Telecom
• 10.7. Media & Entertainment
• 10.8. Retail & eCommerce

11. Americas AIOps Platform Market

• 11.1. Introduction
• 11.2. Argentina
• 11.3. Brazil
• 11.4. Canada
• 11.5. Mexico
• 11.6. United States

12. Asia-Pacific AIOps Platform Market

• 12.1. Introduction
• 12.2. Australia
• 12.3. China
• 12.4. India
• 12.5. Indonesia
• 12.6. Japan
• 12.7. Malaysia
• 12.8. Philippines
• 12.9. Singapore
• 12.10. South Korea
• 12.11. Taiwan
• 12.12. Thailand
• 12.13. Vietnam

13. Europe, Middle East & Africa AIOps Platform Market

• 13.1. Introduction
• 13.2. Denmark
• 13.3. Egypt
• 13.4. Finland
• 13.5. France
• 13.6. Germany
• 13.7. Israel
• 13.8. Italy
• 13.9. Netherlands
• 13.10. Nigeria
• 13.11. Norway
• 13.12. Poland
• 13.13. Qatar
• 13.14. Russia
• 13.15. Saudi Arabia
• 13.16. South Africa
• 13.17. Spain
• 13.18. Sweden
• 13.19. Switzerland
• 13.20. Turkey
• 13.21. United Arab Emirates
• 13.22. United Kingdom

14. Competitive Landscape

• 14.1. Market Share Analysis, 2023
• 14.2. FPNV Positioning Matrix, 2023
• 14.3. Competitive Scenario Analysis
  • 14.3.1. Resurgens Technology Partners fuels Avantra's growth in AIOps for SAP with strategic investment
  • 14.3.2. DataOps.live unveils powerful AIOps capabilities leveraging Snowflake and AWS for streamlined AI-driven data product operationalization
  • 14.3.3. Fujifilm revolutionizes data management by integrating AI through consolidation of global ICT systems
  • 14.3.4. ScienceLogic enhances AIOps platform with new security features and Cisco integration for seamless enterprise operations
  • 14.3.5. Riverbed unveils AI observability platform to address security blind spots in Zero Trust and mobility environments
  • 14.3.6. BMC enhances Helix Platform with Netreo acquisition to boost AIOps Capabilities
  • 14.3.7. Visionet and Algomox unite to advance cloud management with strategic AIOps collaboration enhancing IT efficiency
  • 14.3.8. GTT Communications partners with Selector to revolutionize global IT operations using AIOps for enhanced network efficiency
  • 14.3.9. BMC launches HelixGPT to revolutionize AIOps with advanced AI integrations
  • 14.3.10. Kyndryl and Dynatrace forge partnership to elevate customer insights with unified observability and AIOps innovation
  • 14.3.11. Senser redefines IT operations with AIOps platform using eBPF for advanced data-driven observability
  • 14.3.12. Dell's acquisition of Moogsoft marks a strategic expansion in AI-driven IT operations and automation
  • 14.3.13. Xalient unveils Martina 2.0, revolutionizing network management with advanced AI-driven observability and proactive anomaly detection
• 14.4. Strategy Analysis & Recommendation
  • 14.4.1. Cisco Systems, Inc.
  • 14.4.2. LTIMindtree Limited
  • 14.4.3. Dynatrace, Inc.
  • 14.4.4. International Business Machines Corporation

Companies Mentioned

• 1. Amazon Web Services, Inc.
• 2. BigPanda, Inc.
• 3. BMC Software, Inc.
• 4. Broadcom Inc.
• 5. Cisco Systems, Inc.
• 6. CloudFabrix Software Inc.
• 7. Cloudwise
• 8. Datadog, Inc.
• 9. Dell Inc.
• 10. Dynatrace, Inc.
• 11. Elasticsearch B.V.
• 12. GAVS Technologies
• 13. Google LLC by Alphabet Inc.
• 14. HCL Technologies Limited
• 15. Hewlett Packard Enterprise Company
• 16. Hexaware Technologies Limited
• 17. Infosys Ltd.
• 18. International Business Machines Corporation
• 19. LogicMonitor Inc.
• 20. LTIMindtree Limited
• 21. MeshIQ
• 22. Microsoft Corporation
• 23. Netreo, Inc.
• 24. New Relic, Inc.
• 25. OKESTRO Co., Ltd.
• 26. OpenText Corporation
• 27. Oracle Corporation
• 28. PagerDuty, Inc.
• 29. Prodapt Solutions Private Limited
• 30. ProphetStor Data Services, Inc.
• 31. ScienceLogic, Inc.
• 32. Selector Software, Inc.
• 33. ServiceNow, Inc.
• 34. Tata Consultancy Services Limited
• 35. Tech Mahindra Limited
• 36. VuNet Systems Private Limited
• 37. Wipro Limited
• 38. Zenoss Inc.
• 39. Zoho Corporation