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IT 運營中的人工智能 (AIOps) 市場規模（按組件、部署模型、公司規模、應用、最終用途和預測），2023-2032 年
市場調查報告書
商品編碼
1260678

IT 運營中的人工智能 (AIOps) 市場規模（按組件、部署模型、公司規模、應用、最終用途和預測），2023-2032 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
出版日期: | 出版商: Global Market Insights Inc. | 英文 230 Pages | 商品交期: 2-3個工作天內

價格
簡介目錄

由於企業向雲解決方案的範式轉變，全球 IT 運營人工智能 (AIOps) 市場預計將在 2032 年之前顯著增長。

對 AIOps 的需求可能是由 AI 在復雜的雲環境中執行異常檢測、根本原因診斷、預測性維護、閉環問題解決和關鍵功能的能力驅動的。. 根據一份報告，到 2023 年，所有業務工作負載的 40% 將轉移到雲基礎設施和平台服務。

此外，主要的市場運營商正在尋求通過擴大其產品組合在 AIOps 市場中獲得更好的立足點。 例如，2022 年 3 月，Deloitte公佈了 AIOPS.D。 據報導，基於人工智能的業務平台將能夠管理和執行核心業務流程，使企業能夠高效地交付工作。

總體而言，IT 運營中的人工智能 (AIOps) 市場根據組件、解決方案、服務、部署模型、公司規模、應用程序、最終用戶和地區進行細分。

根據組成部分，由於越來越多地採用雲計算，服務部門預計在未來十年內將出現顯著增長，這將支撐對託管服務的需求。 PaaS 和 SaaS 的出現也將有助於市場增長。

按服務劃分，託管服務領域預計將成為市場特徵，從 2023 年到 2032 年，複合年增長率約為 29.5%。 託管 AIOps 服務越來越多地被組織採用，以幫助消除端點上的威脅，推動未來幾年的市場需求。

根據部署模型，到 2032 年，本地類型預計將顯著增長。 由於 AIOps 可以在本地控制和管理並使用內部資源運行，因此組織可以定制他們的解決方案，從而擴大他們的細分市場。

按公司規模劃分，中小企業部門預計將在未來十年經歷強勁增長。 這是因為在市場上經營的大型中小企業越來越多地向市場領導者提供服務和解決方案。 建立在雲端並需要創建和部署軟件的中小型企業也在採用 AIOps 來改進他們的數字服務。

AIOP有望在各企業的應用性能管理中得到廣泛應用。 該技術利用人工智能來促進 IT 運營管理，並在當今高度複雜的 IT 環境中自動解決問題。

按地區劃分，北美的 AIOps 市場預計將強勁增長，到 2022 年將佔據 42% 的市場份額。 越來越多的公司正在轉向監控工具以滿足日益增長的數據收集需求，這一趨勢到 2032 年將繼續加強該地區的市場。 非洲大陸的大型企業也越來越多，這將進一步刺激未來幾年的市場前景。

內容

第 1 章研究方法和範圍

第 2 章執行摘要

第 3 章 IT 運營中的人工智能 (AIOps) 行業洞察

  • 介紹
  • COVID-19 疫情的影響
    • 按地區
    • 主要參與者將增長恢復到 COVID 前水平的策略
  • 俄烏戰爭影響分析
  • IT 運營中人工智能 (AIOps) 的行業生態系統分析
    • 以領域為中心的 AIOps 提供商
    • 與領域無關的 AIOps 提供商
    • 雲服務提供商
    • 第三方服務提供商
    • 最終用戶
    • 利潤率分析
    • 供應商矩陣
  • 技術和創新前景
    • 實時事件響應
    • 與可觀察平台合作
    • 智能自動化
    • 使用 AI 的網絡安全
  • 專利分析
  • 投資組合
  • 行業新聞
  • 監管狀況
    • 國際標準
    • 北美
    • 歐洲
    • 亞太地區
    • 拉丁美洲
    • 多邊環境協定
  • 影響行業的因素
    • 司機
      • 對在 IT 運營中利用 AI 的服務的需求不斷增加
      • 核心企業運營對雲計算的親和力增強
      • 端到端的業務應用保證和更長的正常運行時間
      • 企業對 IT 運營的 360° 全方位視圖的需求不斷增長
      • 對減少企業 IT 資本投資的興趣激增
    • 行業潛在的風險和挑戰
      • IT 架構的複雜性和動態性不斷增加
      • 增加 IT 運營方面的變革
  • 增長分析
  • 波特分析
  • PESTEL 分析

第 4 章競爭格局，2022 年

  • 介紹
  • 按公司收入劃分的市場份額（2022 年）
    • 2022 年主要參與者的競爭分析
      • IBM
      • Splunk
      • Cisco
      • Dynatrace
      • Elastic
    • 2022 年市場創新者競爭分析
      • Servicenow
      • New Relic
      • Datadog
      • Broadcom CA
      • BMC Software
    • 供應商採用矩陣
    • 戰略視角矩陣

第 5 章 IT 運營 (AIOps) 市場中的人工智能：按組件分類

  • 主要趨勢（按組件）
  • 解決方案
    • 與領域無關的 AIOps
    • 以領域為中心的 AIOps
  • 服務
    • 專業服務
    • 託管服務

第 6 章 IT 運營 (AIOps) 市場中的人工智能：按部署模型

  • 主要趨勢（按部署模型）
  • 本地
  • 雲

第 7 章 IT 運營中的人工智能 (AIOps) 市場：按公司規模分類

  • 主要趨勢（按公司規模）
  • 大公司
  • 中小企業

第 8 章 IT 運營中的人工智能 (AIOps) 市場：按應用分類

  • 主要趨勢（按應用）
  • 基礎架構管理
  • 實時分析
  • 網絡與安全管理
  • 應用性能管理
  • 其他

第 9 章 IT 運營 (AIOps) 市場中的人工智能：最終用戶

  • 最終用戶的主要趨勢
  • BFSI
  • IT/電信
  • 醫療保健
  • 零售
  • 政府
  • 製造業
  • 媒體和娛樂
  • 其他

第 10 章 IT 運營 (AIOps) 市場中的人工智能：按地區

  • 主要趨勢（按地區）
  • 北美
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 意大利
    • 西班牙
    • 荷蘭
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 東南亞
    • 韓國
    • 澳大利亞和新西蘭
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
    • 哥倫比亞
  • 多邊環境協定
    • 南非
    • 阿聯酋
    • 沙特阿拉伯
    • 以色列

第11章公司簡介

  • 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
簡介目錄
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