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表紙：IT運用における人工知能（AIOps）市場規模：コンポーネント別、展開モデル別、企業規模別、用途別、最終用途別＆予測、2023年～2032年
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IT運用における人工知能（AIOps）市場規模：コンポーネント別、展開モデル別、企業規模別、用途別、最終用途別＆予測、2023年～2032年

Artificial Intelligence in IT Operations (AIOps) Market Size By Component, By Deployment Model, By Enterprise Size, By Application, By End-use & Forecast, 2023 - 2032
出版日: | 発行: Global Market Insights Inc. | ページ情報: 英文 230 Pages | 納期: 2～3営業日

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IT運用における人工知能（AIOps）市場規模：コンポーネント別、展開モデル別、企業規模別、用途別、最終用途別＆予測、2023年～2032年
出版日: 2023年03月24日
発行: Global Market Insights Inc.
ページ情報: 英文 230 Pages
納期: 2～3営業日
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  • 概要
  • 目次
概要

IT運用における人工知能（AIOps）の世界市場は、企業のクラウドソリューションへのパラダイムシフトにより、2032年まで大きく成長すると予想されています。

AIOpsの需要は、複雑なクラウド環境において、異常検知、根本原因診断、予知保全、クローズドループによる問題解決、および重要な機能を実行するAIの能力に起因しているものと思われます。あるレポートによると、2023年までにすべてのビジネスワークロードの40％がクラウドインフラストラクチャーとプラットフォームサービスに移行するとされています。

その上、主要な市場運営者は、ポートフォリオを拡大することで、AIOps市場におけるより良い足場を得ようとしています。一例を挙げると、2022年3月、デロイトはAIOPS.Dを発表しました。報道によると、AIベースのビジネスプラットフォームは、コアビジネスプロセスを管理・実行することができ、ビジネス企業が効率的に仕事を提供することができるようになるそうです。

全体として、ITオペレーション（AIOps）における人工知能市場は、コンポーネント、ソリューション、サービス、展開モデル、企業規模、アプリケーション、エンドユーザー、地域に基づいてセグメント化されています。

コンポーネントに基づくと、クラウドコンピューティングの採用が増加し、マネージドサービスの需要を支えることになるため、サービスセグメントは今後10年間で大きな成長を示すことになると考えられています。また、PaaSやSaaSの登場も市場の成長に寄与するでしょう。

サービス別では、2023年から2032年にかけて約29.5%のCAGRで成長するマネージドサービスセグメントが市場を特徴付けると思われます。マネージドAIOpsサービスは、エンドポイントで発生する脅威の排除を支援するため、組織での採用が増加しており、今後数年間の市場需要を促進します。

導入モデル別では、オンプレミス型が2032年まで大きく成長すると考えられます。AIOpsはオンプレミスで制御・管理でき、社内のリソースで実行できるため、組織はソリューションをカスタマイズすることができ、結果としてセグメントを拡大させることになります。

企業規模別では、中小企業部門が今後10年間で堅調な成長を遂げると予想されます。これは、市場で事業を展開している大手中小企業が、自社のサービスやソリューションを市場リーダーに提供するケースが増えているためです。また、クラウドで設立され、ソフトウェアの作成とデプロイが必要な中小企業も、デジタルサービスを向上させるためにAIOpsを導入しています。

AIOPsは、さまざまな企業でアプリケーション・パフォーマンス管理に幅広く応用されると予想されます。この技術は、人工知能を活用してIT運用管理を容易にし、非常に複雑な現代のIT環境における問題解決を自動化するものです。

地域別では、AIOps市場は北米で大きく成長し、2022年には42％の市場シェアを占めると予想されます。データ収集の需要増に対応するため、監視ツールに注目する企業が増えており、この動向は2032年までこの地域の市場を強化し続けると考えられます。また、同大陸では大手企業の存在感が増しており、今後数年間で市場シナリオをさらに刺激することになるでしょう。

目次

第1章 調査手法とスコープ

第2章 エグゼクティブサマリー

第3章 ITオペレーションにおける人工知能（AIOps）業界洞察

  • イントロダクション
  • COVID-19の発生別影響について
    • 地域別
    • COVID以前のレベルの成長を取り戻すための主要プレイヤーの戦略
  • ロシア・ウクライナ戦争の影響分析
  • ITオペレーションにおける人工知能（AIOps）の業界エコシステム分析
    • ドメインセントリックなAIOpsプロバイダー
    • ドメインにとらわれないAIOpsプロバイダー
    • クラウドサービスプロバイダー
    • サードパーティーサービスプロバイダー
    • エンドユーザー
    • 利益率分析
    • ベンダーマトリクス
  • テクノロジーとイノベーションの展望
    • リアルタイムのインシデントレスポンス
    • 観測可能なプラットフォームとの連携
    • スマートオートメーション
    • AIを活用したサイバーセキュリティ
  • 特許分析
  • 投資ポートフォリオ
  • 業界ニュース
  • 規制状況について
    • 国際規格
    • 北米
    • 欧州
    • アジア太平洋地域
    • ラテンアメリカ
    • MEA
  • 業界への影響要因
    • 促進要因
      • IT運用にAIを活用したサービスの需要が高まる
      • 企業の基幹業務のクラウド化に対する親和性の高まり
      • エンドツーエンドのビジネスアプリケーションの保証とアップタイムの増加
      • ITオペレーションを360°全方位的に把握したいという企業ニーズの高まり
      • 企業のIT設備投資削減への注目度急上昇
    • 業界の潜在的リスク＆課題
      • 複雑化するITアーキテクチャとダイナミックな性質
      • 増加するIT運用の変化
  • 成長性分析
  • ポーター分析
  • PESTEL分析

第4章 競合情勢、2022年

  • イントロダクション
  • 企業収益別マーケットシェア（2022年
    • 主要プレイヤーの競合分析、2022年
      • IBM
      • Splunk
      • Cisco
      • Dynatrace
      • Elastic
    • 市場イノベーターの競合分析、2022年
      • Servicenow
      • New Relic
      • Datadog
      • Broadcom CA
      • BMC Software
    • ベンダー採用マトリクス
    • 戦略的展望マトリクス

第5章 IT運用における人工知能（AIOps）市場：構成要素別

  • 主要動向（コンポーネント別
  • ソリューション
    • ドメインアグノスティックAIOps
    • ドメインセントリックAIOps
  • サービス
    • プロフェッショナルサービス
    • マネージドサービス

第6章 ITオペレーションにおける人工知能（AIOps）市場：導入モデル別

  • 主要動向（展開モデル別
  • オンプレミス
  • クラウド

第7章 ITオペレーションにおける人工知能（AIOps）市場：企業規模別

  • 主な動向（企業規模別
  • 大企業
  • 中小企業

第8章 ITオペレーションにおける人工知能（AIOps）市場：アプリケーション別

  • 主な動向（アプリケーション別
  • インフラ管理
  • リアルタイムのアナリティクス
  • ネットワーク＆セキュリティマネジメント
  • アプリケーション・パフォーマンス・マネジメント
  • その他

第9章 IT運用における人工知能（AIOps）市場：エンドユーザー別

  • エンドユーザー別、主な動向
  • BFSI
  • IT・テレコム
  • ヘルスケア
  • 小売
  • 政府
  • 製造業
  • メディア・エンターテインメント
  • その他

第10章 ITオペレーションにおける人工知能（AIOps）市場：地域別

  • 主な動向（地域別
  • 北米
    • 米国
    • カナダ
  • 欧州
    • 英国
    • ドイツ
    • フランス
    • イタリア
    • スペイン
    • オランダ
  • アジア太平洋地域
    • 中国
    • インド
    • 日本
    • 東南アジア
    • 韓国
    • オーストラリア・ニュージーランド
  • ラテンアメリカ
    • ブラジル
    • メキシコ
    • アルゼンチン
    • コロンビア
  • MEA
    • 南アフリカ
    • UAE
    • サウジアラビア
    • イスラエル

第11章 企業プロファイル

  • Amelia（IPsoft）US LLC
  • Bigpanda
  • BMC Software Inc.
  • Broadcom Inc.
  • Cisco Systems Inc.
  • Datadog Inc.
  • Digital.ai（CollabNet VersionOne）
  • Digitate
  • Dynatrace Inc.
  • ExtraHop Networks Inc.
  • Harness Inc.
  • IBM Corporation
  • Logz.io Inc.
  • Moogsoft Inc.
  • New Relic Inc.
  • Octillion Power Systems
  • OverOps Inc.
  • PagerDuty Inc.
  • Pico Inc.
  • ScienceLogic Inc.
  • Servicenow
  • Splunk Inc.
  • StackState Inc.
  • Sumo Logic Inc.
  • Virtana Corporation
目次
Product Code: 5153

Global Artificial Intelligence in IT Operations (AIOps) Market is slated to grow substantially through 2032, owing to a paradigm shift to cloud solutions by enterprises. The AIOps' stellar demand can be attributed to AI's ability to perform anomaly detection, root cause diagnostics, predictive maintenance, closed-loop issue remediations, and critical functions in complex cloud environments. According to a report, 40% of all business workloads will be transferred to cloud infrastructure and platform services by 2023.

Besides, key market operators are seeking to gain a better foothold in the AIOps market by expanding their portfolios. To cite an instance, in March 2022, Deloitte introduced its AIOPS.D. As per reports, the AI-based business platform will be able to manage and execute core business processes, which will enable business enterprises to deliver their work effectively.

Overall, the artificial intelligence in IT Operations (AIOps) market is segmented on the basis of component, solution, service, deployment model, enterprise size, application, end user, and region.

Based on the component, the service segment is set to witness massive growth in the next ten years, owing to the increasing adoption of cloud computing, which will support the demand for managed services. Besides, the emergence of PaaS and SaaS will also contribute to the market growth.

In terms of service, the market is likely to be characterized by the managed services segment, which will grow at approximately 29.5% CAGR between 2023 and 2032. Since managed AIOps services help firms eliminate endpoint-generated threats, these are being increasingly adopted by organisations, fueling the market demand through the coming years.

On the basis of the deployment model, the on-premise segment will grow significantly through 2032. As AIOps can be controlled and managed on the premise and carried out by in-house resources, this allows organizations to customize their solutions, which will result in the segmental expansion.

In the context of enterprise size, the SMEs segment is set to register solid growth over the next decade, as the leading SMEs that are operating in the market are increasingly offering their services and solutions to market leaders. Besides, the SMEs which were established in the cloud and need to create and deploy software, are also adopting AIOps to improve their digital services.

AIOPs is expected to foresee extensive application for application performance management across different enterprises. The technology leverages artificial intelligence to make IT operations management easy and automate problem resolution in highly complex modern-day IT environments.

In the regional context, the AIOps market will grow significantly in North America, where it held 42% market share in 2022. More enterprises are focusing on monitoring tools to cater to the increasing demand for data capture, and this trend will continue to bolster the regional market through 2032. In addition, the growing prominence of leading industry giants in the continent would further stimulate the market scenario in the coming years.

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Market definition
  • 1.2 Base estimates & forecast
  • 1.3 Forecast calculations
  • 1.4 Data Sources
    • 1.4.1 Secondary
    • 1.4.2 Primary
  • 1.5 Industry Glossary

Chapter 2 Executive Summary

  • 2.1 Artificial Intelligence in IT Operations (AIOps) industry 360 degree synopsis, 2018 - 2032
  • 2.2 Business trends
    • 2.2.1 Total addressable market (TAM) trends, 2023 - 2032
  • 2.3 Regional trends
  • 2.4 Component trends
  • 2.5 Deployment Model trends
  • 2.6 Enterprise Size trends
  • 2.7 Application trends
  • 2.8 End-user trends

Chapter 3 Artificial Intelligence in IT Operations (AIOps) Industry Insights

  • 3.1 Introduction
  • 3.2 Impact of COVID-19 outbreak
    • 3.2.1 By region
      • 3.2.1.1 North America
      • 3.2.1.2 Europe
      • 3.2.1.3 Asia Pacific
      • 3.2.1.4 Latin America
      • 3.2.1.5 Middle East & Africa
    • 3.2.2 Strategies by major players to regain pre-COVID level growth
  • 3.3 Impact analysis of Russia-Ukraine war
  • 3.4 Artificial Intelligence in IT Operations (AIOps) industry ecosystem analysis
    • 3.4.1 Domain-centric AIOps providers
    • 3.4.2 Domain-agnostic AIOps providers
    • 3.4.3 Cloud service providers
    • 3.4.4 Third Party Service Providers
    • 3.4.5 End-users
    • 3.4.6 Profit margin analysis
    • 3.4.7 Vendor matrix
  • 3.5 Technology & innovation landscape
    • 3.5.1 Real time incident response
    • 3.5.2 Integration with observability platforms
    • 3.5.3 Smart automation
    • 3.5.4 AI enabled cybersecurity
  • 3.6 Patent analysis
  • 3.7 Investment portfolio
  • 3.8 Industry news
    • 3.8.1 North America
    • 3.8.2 Europe
    • 3.8.3 Asia Pacific
    • 3.8.4 Latin America
    • 3.8.5 Middle East & Africa
  • 3.9 Regulatory landscape
    • 3.9.1 International Standards
    • 3.9.2 North America
    • 3.9.3 Europe
    • 3.9.4 Asia Pacific
    • 3.9.5 Latin America
    • 3.9.6 MEA
  • 3.10 Industry impact forces
    • 3.10.1 Growth drivers
      • 3.10.1.1 Growing demand of AI-based services for IT operations
      • 3.10.1.2 Rising affinity of enterprises to shift core business operations on the cloud
      • 3.10.1.3 Increasing end-to-end business application assurance and uptime
      • 3.10.1.4 Rising needs of businesses for holistic 360° visibility into IT operations
      • 3.10.1.5 Surging focus of enterprises on reducing IT capital expenditure
    • 3.10.2 Industry pitfalls & challenges
      • 3.10.2.1 Growing complexities and dynamic nature of the IT architecture
      • 3.10.2.2 Increasing number of changes in IT operations
  • 3.11 Growth potential analysis
  • 3.12 Porter's analysis
    • 3.12.1 Bargaining power of suppliers
    • 3.12.2 Bargaining power of buyers
    • 3.12.3 The threat of new entrants
    • 3.12.4 The threat of substitute
    • 3.12.5 Competitive rivalry
  • 3.13 PESTEL analysis
    • 3.13.1 Political
    • 3.13.2 Economic
    • 3.13.3 Social
    • 3.13.4 Technological
    • 3.13.5 Legal
    • 3.13.6 Environmental

Chapter 4 Competitive Landscape, 2022

  • 4.1 Introduction
  • 4.2 Company market share, by revenue, 2022
    • 4.2.1 Competitive analysis of major players, 2022
      • 4.2.1.1 IBM
      • 4.2.1.2 Splunk
      • 4.2.1.3 Cisco
      • 4.2.1.4 Dynatrace
      • 4.2.1.5 Elastic
    • 4.2.2 Competitive analysis of market innovators, 2022
      • 4.2.2.1 Servicenow
      • 4.2.2.2 New Relic
      • 4.2.2.3 Datadog
      • 4.2.2.4 Broadcom CA
      • 4.2.2.5 BMC Software
    • 4.2.3 Vendor adoption matrix
    • 4.2.4 Strategic outlook matrix

Chapter 5 Artificial Intelligence in IT Operations (AIOps) Market, By Component

  • 5.1 Key trends, by component
  • 5.2 Solution
    • 5.2.1 Market estimates and forecast, 2018 - 2032
    • 5.2.2 Domain-Agnostic AIOps
      • 5.2.2.1 Market estimates and forecast, 2018 - 2032
    • 5.2.3 Domain-Centric AIOps
      • 5.2.3.1 Market estimates and forecast, 2018 - 2032
  • 5.3 Service
    • 5.3.1 Market estimates and forecast, 2018 - 2032
    • 5.3.2 Professional Services
      • 5.3.2.1 Market estimates and forecast, 2018 - 2032
    • 5.3.3 Managed Services
      • 5.3.3.1 Market estimates and forecast, 2018 - 2032

Chapter 6 Artificial Intelligence in IT Operations (AIOps) Market, By Deployment Model

  • 6.1 Key trends, by deployment model
  • 6.2 On-premise
    • 6.2.1 Market estimates and forecast, 2018 - 2032
  • 6.3 Cloud
    • 6.3.1 Market estimates and forecast, 2018 - 2032

Chapter 7 Artificial Intelligence in IT Operations (AIOps) Market, By Enterprise Size

  • 7.1 Key trends, by enterprise size
  • 7.2 Large Enterprises
    • 7.2.1 Market estimates and forecast, 2018 - 2032
  • 7.3 SMEs
    • 7.3.1 Market estimates and forecast, 2018 - 2032

Chapter 8 Artificial Intelligence in IT Operations (AIOps) Market, By Application

  • 8.1 Key trends, by application
  • 8.2 Infrastructure Management
    • 8.2.1 Market estimates and forecast, 2018 - 2032
  • 8.3 Real-Time Analytics
    • 8.3.1 Market estimates and forecast, 2018 - 2032
  • 8.4 Network & Security Management
    • 8.4.1 Market estimates and forecast, 2018 - 2032
  • 8.5 Application Performance Management
    • 8.5.1 Market estimates and forecast, 2018 - 2032
  • 8.6 Others
    • 8.6.1 Market estimates and forecast, 2018 - 2032

Chapter 9 Artificial Intelligence in IT Operations (AIOps) Market, By End-user

  • 9.1 Key trends, by end-user
  • 9.2 BFSI
    • 9.2.1 Market estimates and forecast, 2018 - 2032
  • 9.3 IT & Telecom
    • 9.3.1 Market estimates and forecast, 2018 - 2032
  • 9.4 Healthcare
    • 9.4.1 Market estimates and forecast, 2018 - 2032
  • 9.5 Retail
    • 9.5.1 Market estimates and forecast, 2018 - 2032
  • 9.6 Government
    • 9.6.1 Market estimates and forecast, 2018 - 2032
  • 9.7 Manufacturing
    • 9.7.1 Market estimates and forecast, 2018 - 2032
  • 9.8 Media & Entertainment
    • 9.8.1 Market estimates and forecast, 2018 - 2032
  • 9.9 Others
    • 9.9.1 Market estimates and forecast, 2018 - 2032

Chapter 10 Artificial Intelligence in IT Operations (AIOps) Market, By Region

  • 10.1 Key trends, by region
  • 10.2 North America
    • 10.2.1 Market estimates and forecast, 2018 - 2032
    • 10.2.2 Market estimates and forecast, by Component, 2018 - 2032
      • 10.2.2.1 Market estimates and forecast, by solution, 2018 - 2032
      • 10.2.2.2 Market estimates and forecast, by service, 2018 - 2032
    • 10.2.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
    • 10.2.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
    • 10.2.5 Market estimates and forecast, by Application, 2018 - 2032
    • 10.2.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.2.7 U.S.
      • 10.2.7.1 Market estimates and forecast, 2018 - 2032
      • 10.2.7.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.2.7.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.2.7.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.2.7.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.2.7.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
      • 10.2.7.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.2.7.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.2.8 Canada
      • 10.2.8.1 Market estimates and forecast, 2018 - 2032
      • 10.2.8.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.2.8.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.2.8.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.2.8.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.2.8.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
      • 10.2.8.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.2.8.6 Market estimates and forecast, by End-user, 2018 - 2032
  • 10.3 Europe
    • 10.3.1 Market estimates and forecast, 2018 - 2032
    • 10.3.2 Market estimates and forecast, by Component, 2018 - 2032
      • 10.3.2.1 Market estimates and forecast, by solution, 2018 - 2032
      • 10.3.2.2 Market estimates and forecast, by service, 2018 - 2032
    • 10.3.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
    • 10.3.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
    • 10.3.5 Market estimates and forecast, by Application, 2018 - 2032
    • 10.3.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.3.7 UK
      • 10.3.7.1 Market estimates and forecast, 2018 - 2032
      • 10.3.7.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.3.7.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.3.7.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.3.7.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.3.7.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
      • 10.3.7.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.3.7.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.3.8 Germany
      • 10.3.8.1 Market estimates and forecast, 2018 - 2032
      • 10.3.8.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.3.8.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.3.8.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.3.8.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.3.8.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
      • 10.3.8.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.3.8.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.3.9 France
      • 10.3.9.1 Market estimates and forecast, 2018 - 2032
      • 10.3.9.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.3.9.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.3.9.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.3.9.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.3.9.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
      • 10.3.9.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.3.9.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.3.10 Italy
      • 10.3.10.1 Market estimates and forecast, 2018 - 2032
      • 10.3.10.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.3.10.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.3.10.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.3.10.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.3.10.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
      • 10.3.10.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.3.10.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.3.11 Spain
      • 10.3.11.1 Market estimates and forecast, 2018 - 2032
      • 10.3.11.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.3.11.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.3.11.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.3.11.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.3.11.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
      • 10.3.11.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.3.11.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.3.12 Netherlands
      • 10.3.12.1 Market estimates and forecast, 2018 - 2032
      • 10.3.12.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.3.12.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.3.12.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.3.12.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.3.12.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
      • 10.3.12.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.3.12.6 Market estimates and forecast, by End-user, 2018 - 2032
  • 10.4 Asia Pacific
    • 10.4.1 Market estimates and forecast, 2018 - 2032
    • 10.4.2 Market estimates and forecast, by Component, 2018 - 2032
      • 10.4.2.1 Market estimates and forecast, by solution, 2018 - 2032
      • 10.4.2.2 Market estimates and forecast, by service, 2018 - 2032
    • 10.4.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
    • 10.4.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
    • 10.4.5 Market estimates and forecast, by Application, 2018 - 2032
    • 10.4.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.4.7 China
      • 10.4.7.1 Market estimates and forecast, 2018 - 2032
      • 10.4.7.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.4.7.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.4.7.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.4.7.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.4.7.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
      • 10.4.7.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.4.7.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.4.8 India
      • 10.4.8.1 Market estimates and forecast, 2018 - 2032
      • 10.4.8.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.4.8.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.4.8.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.4.8.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.4.8.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
      • 10.4.8.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.4.8.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.4.9 Japan
      • 10.4.9.1 Market estimates and forecast, 2018 - 2032
      • 10.4.9.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.4.9.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.4.9.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.4.9.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.4.9.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
      • 10.4.9.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.4.9.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.4.10 Southeast Asia
      • 10.4.10.1 Market estimates and forecast, 2018 - 2032
      • 10.4.10.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.4.10.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.4.10.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.4.10.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.4.10.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
      • 10.4.10.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.4.10.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.4.11 South Korea
      • 10.4.11.1 Market estimates and forecast, 2018 - 2032
      • 10.4.11.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.4.11.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.4.11.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.4.11.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.4.11.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
      • 10.4.11.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.4.11.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.4.12 ANZ
      • 10.4.12.1 Market estimates and forecast, 2018 - 2032
      • 10.4.12.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.4.12.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.4.12.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.4.12.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.4.12.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
      • 10.4.12.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.4.12.6 Market estimates and forecast, by End-user, 2018 - 2032
  • 10.5 Latin America
    • 10.5.1 Market estimates and forecast, 2018 - 2032
    • 10.5.2 Market estimates and forecast, by Component, 2018 - 2032
      • 10.5.2.1 Market estimates and forecast, by solution, 2018 - 2032
      • 10.5.2.2 Market estimates and forecast, by service, 2018 - 2032
    • 10.5.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
    • 10.5.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
    • 10.5.5 Market estimates and forecast, by Application, 2018 - 2032
    • 10.5.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.5.7 Brazil
      • 10.5.7.1 Market estimates and forecast, 2018 - 2032
      • 10.5.7.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.5.7.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.5.7.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.5.7.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.5.7.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
      • 10.5.7.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.5.7.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.5.8 Mexico
      • 10.5.8.1 Market estimates and forecast, 2018 - 2032
      • 10.5.8.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.5.8.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.5.8.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.5.8.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.5.8.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
      • 10.5.8.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.5.8.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.5.9 Argentina
      • 10.5.9.1 Market estimates and forecast, 2018 - 2032
      • 10.5.9.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.5.9.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.5.9.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.5.9.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.5.9.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
      • 10.5.9.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.5.9.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.5.10 Colombia
      • 10.5.10.1 Market estimates and forecast, 2018 - 2032
      • 10.5.10.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.5.10.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.5.10.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.5.10.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.5.10.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
      • 10.5.10.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.5.10.6 Market estimates and forecast, by End-user, 2018 - 2032
  • 10.6 MEA
    • 10.6.1 Market estimates and forecast, 2018 - 2032
    • 10.6.2 Market estimates and forecast, by Component, 2018 - 2032
      • 10.6.2.1 Market estimates and forecast, by solution, 2018 - 2032
      • 10.6.2.2 Market estimates and forecast, by service, 2018 - 2032
    • 10.6.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
    • 10.6.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
    • 10.6.5 Market estimates and forecast, by Application, 2018 - 2032
    • 10.6.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.6.7 South Africa
      • 10.6.7.1 Market estimates and forecast, 2018 - 2032
      • 10.6.7.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.6.7.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.6.7.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.6.7.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.6.7.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
      • 10.6.7.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.6.7.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.6.8 UAE
      • 10.6.8.1 Market estimates and forecast, 2018 - 2032
      • 10.6.8.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.6.8.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.6.8.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.6.8.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.6.8.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
      • 10.6.8.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.6.8.6 Market estimates and forecast, by End-user, 2018 - 2032
      • 10.6.8.7
    • 10.6.9 Saudi Arabia
      • 10.6.9.1 Market estimates and forecast, 2018 - 2032
      • 10.6.9.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.6.9.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.6.9.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.6.9.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.6.9.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
      • 10.6.9.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.6.9.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.6.10 Israel
      • 10.6.10.1 Market estimates and forecast, 2018 - 2032
      • 10.6.10.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.6.10.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 10.6.10.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 10.6.10.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.6.10.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
      • 10.6.10.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.6.10.6 Market estimates and forecast, by End-user, 2018 - 2032

Chapter 11 Company Profiles

  • 11.1 Amelia (IPsoft) US LLC
    • 11.1.1 Business Overview
    • 11.1.2 Financial Data
    • 11.1.3 Product Landscape
    • 11.1.4 Strategic Outlook
    • 11.1.5 SWOT Analysis
  • 11.2 Bigpanda
    • 11.2.1 Business Overview
    • 11.2.2 Financial Data
    • 11.2.3 Product Landscape
    • 11.2.4 Strategic Outlook
    • 11.2.5 SWOT Analysis
  • 11.3 BMC Software Inc.
    • 11.3.1 Business Overview
    • 11.3.2 Financial Data
    • 11.3.3 Product Landscape
    • 11.3.4 Strategic Outlook
    • 11.3.5 SWOT Analysis
  • 11.4 Broadcom Inc.
    • 11.4.1 Business Overview
    • 11.4.2 Financial Data
    • 11.4.3 Product Landscape
    • 11.4.4 Strategic Outlook
    • 11.4.5 SWOT Analysis
  • 11.5 Cisco Systems Inc.
    • 11.5.1 Business Overview
    • 11.5.2 Financial Data
    • 11.5.3 Product Landscape
    • 11.5.4 Strategic Outlook
    • 11.5.5 SWOT Analysis
  • 11.6 Datadog Inc.
    • 11.6.1 Business Overview
    • 11.6.2 Financial Data
    • 11.6.3 Product Landscape
    • 11.6.4 Strategic Outlook
    • 11.6.5 SWOT Analysis
  • 11.7 Digital.ai (CollabNet VersionOne)
    • 11.7.1 Business Overview
    • 11.7.2 Financial Data
    • 11.7.3 Product Landscape
    • 11.7.4 Strategic Outlook
    • 11.7.5 SWOT Analysis
  • 11.8 Digitate
    • 11.8.1 Business Overview
    • 11.8.2 Financial Data
    • 11.8.3 Product Landscape
    • 11.8.4 Strategic Outlook
    • 11.8.5 SWOT Analysis
  • 11.9 Dynatrace Inc.
    • 11.9.1 Business Overview
    • 11.9.2 Financial Data
    • 11.9.3 Product Landscape
    • 11.9.4 Strategic Outlook
    • 11.9.5 SWOT Analysis
  • 11.10 ExtraHop Networks Inc.
    • 11.10.1 Business Overview
    • 11.10.2 Financial Data
    • 11.10.3 Product Landscape
    • 11.10.4 Strategic Outlook
    • 11.10.5 SWOT Analysis
    • 11.10.6 SWOT Analysis
  • 11.11 Harness Inc.
    • 11.11.1 Business Overview
    • 11.11.2 Financial Data
    • 11.11.3 Product Landscape
    • 11.11.4 Strategic Outlook
    • 11.11.5 SWOT Analysis
    • 11.11.6 SWOT Analysis
  • 11.12 IBM Corporation
    • 11.12.1 Business Overview
    • 11.12.2 Financial Data
    • 11.12.3 Product Landscape
    • 11.12.4 Strategic Outlook
    • 11.12.5 SWOT Analysis
    • 11.12.6 SWOT Analysis
  • 11.13 Logz.io Inc.
    • 11.13.1 Business Overview
    • 11.13.2 Financial Data
    • 11.13.3 Product Landscape
    • 11.13.4 Strategic Outlook
    • 11.13.5 SWOT Analysis
  • 11.14 Moogsoft Inc.
    • 11.14.1 Business Overview
    • 11.14.2 Financial Data
    • 11.14.3 Product Landscape
    • 11.14.4 Strategic Outlook
    • 11.14.5 SWOT Analysis
  • 11.15 New Relic Inc.
    • 11.15.1 Business Overview
    • 11.15.2 Financial Data
    • 11.15.3 Product Landscape
    • 11.15.4 Strategic Outlook
    • 11.15.5 SWOT Analysis
  • 11.16 Octillion Power Systems
    • 11.16.1 Business Overview
    • 11.16.2 Financial Data
    • 11.16.3 Product Landscape
    • 11.16.4 Strategic Outlook
    • 11.16.5 SWOT Analysis
  • 11.17 OverOps Inc.
    • 11.17.1 Business Overview
    • 11.17.2 Financial Data
    • 11.17.3 Product Landscape
    • 11.17.4 Strategic Outlook
    • 11.17.5 SWOT Analysis
  • 11.18 PagerDuty Inc.
    • 11.18.1 Business Overview
    • 11.18.2 Financial Data
    • 11.18.3 Product Landscape
    • 11.18.4 Strategic Outlook
    • 11.18.5 SWOT Analysis
  • 11.19 Pico Inc.
    • 11.19.1 Business Overview
    • 11.19.2 Financial Data
    • 11.19.3 Product Landscape
    • 11.19.4 Strategic Outlook
    • 11.19.5 SWOT Analysis
    • 11.19.6 SWOT Analysis
  • 11.20 ScienceLogic Inc.
    • 11.20.1 Business Overview
    • 11.20.2 Financial Data
    • 11.20.3 Product Landscape
    • 11.20.4 Strategic Outlook
    • 11.20.5 SWOT Analysis
    • 11.20.6 SWOT Analysis
  • 11.21 Servicenow
    • 11.21.1 Business Overview
    • 11.21.2 Financial Data
    • 11.21.3 Product Landscape
    • 11.21.4 Strategic Outlook
    • 11.21.5 SWOT Analysis
    • 11.21.6 SWOT Analysis
  • 11.22 Splunk Inc.
    • 11.22.1 Business Overview
    • 11.22.2 Financial Data
    • 11.22.3 Product Landscape
    • 11.22.4 Strategic Outlook
    • 11.22.5 SWOT Analysis
  • 11.23 StackState Inc.
    • 11.23.1 Business Overview
    • 11.23.2 Financial Data
    • 11.23.3 Product Landscape
    • 11.23.4 Strategic Outlook
    • 11.23.5 SWOT Analysis
  • 11.24 Sumo Logic Inc.
    • 11.24.1 Business Overview
    • 11.24.2 Financial Data
    • 11.24.3 Product Landscape
    • 11.24.4 Strategic Outlook
    • 11.24.5 SWOT Analysis
  • 11.25 Virtana Corporation
    • 11.25.1 Business Overview
    • 11.25.2 Financial Data
    • 11.25.3 Product Landscape
    • 11.25.4 Strategic Outlook
    • 11.25.5 SWOT Analysis