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IT 运营中的人工智能 (AIOps) 市场规模（按组件、部署模型、公司规模、应用、最终用途和预测），2023-2032 年
市场调查报告书
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1260678

IT 运营中的人工智能 (AIOps) 市场规模（按组件、部署模型、公司规模、应用、最终用途和预测），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个工作天内

价格
简介目录

由于企业向云解决方案的范式转变，全球 IT 运营人工智能 (AIOps) 市场预计将在 2032 年之前显着增长。

对 AIOps 的需求可能是由 AI 在復杂的云环境中执行异常检测、根本原因诊断、预测性维护、闭环问题解决和关键功能的能力驱动的。. 根据一份报告，到 2023 年，所有业务工作负载的 40% 将转移到云基础设施和平台服务。

此外，主要的市场运营商正在寻求通过扩大其产品组合在 AIOps 市场中获得更好的立足点。 例如，2022 年 3 月，Deloitte公布了 AIOPS.D。 据报导，基于人工智能的业务平台将能够管理和执行核心业务流程，使企业能够高效地交付工作。

总体而言，IT 运营中的人工智能 (AIOps) 市场根据组件、解决方案、服务、部署模型、公司规模、应用程序、最终用户和地区进行细分。

根据组成部分，由于越来越多地采用云计算，服务部门预计在未来十年内将出现显着增长，这将支撑对託管服务的需求。 PaaS 和 SaaS 的出现也将有助于市场增长。

按服务划分，託管服务领域预计将成为市场特征，从 2023 年到 2032 年，复合年增长率约为 29.5%。 託管 AIOps 服务越来越多地被组织采用，以帮助消除端点上的威胁，推动未来几年的市场需求。

根据部署模型，到 2032 年，本地类型预计将显着增长。 由于 AIOps 可以在本地控制和管理并使用内部资源运行，因此组织可以定制他们的解决方案，从而扩大他们的细分市场。

按公司规模划分，中小企业部门预计将在未来十年经历强劲增长。 这是因为在市场上经营的大型中小企业越来越多地向市场领导者提供服务和解决方案。 建立在云端并需要创建和部署软件的中小型企业也在采用 AIOps 来改进他们的数字服务。

AIOP有望在各企业的应用性能管理中得到广泛应用。 该技术利用人工智能来促进 IT 运营管理，并在当今高度复杂的 IT 环境中自动解决问题。

按地区划分，北美的 AIOps 市场预计将强劲增长，到 2022 年将占据 42% 的市场份额。 越来越多的公司正在转向监控工具以满足日益增长的数据收集需求，这一趋势到 2032 年将继续加强该地区的市场。 非洲大陆的大型企业也越来越多，这将进一步刺激未来几年的市场前景。

内容

第 1 章研究方法和范围

第 2 章执行摘要

第 3 章 IT 运营中的人工智能 (AIOps) 行业洞察

  • 介绍
  • COVID-19 疫情的影响
    • 按地区
    • 主要参与者将增长恢復到 COVID 前水平的策略
  • 俄乌战争影响分析
  • IT 运营中人工智能 (AIOps) 的行业生态系统分析
    • 以领域为中心的 AIOps 提供商
    • 与领域无关的 AIOps 提供商
    • 云服务提供商
    • 第三方服务提供商
    • 最终用户
    • 利润率分析
    • 供应商矩阵
  • 技术和创新前景
    • 实时事件响应
    • 与可观察平台合作
    • 智能自动化
    • 使用 AI 的网络安全
  • 专利分析
  • 投资组合
  • 行业新闻
  • 监管状况
    • 国际标准
    • 北美
    • 欧洲
    • 亚太地区
    • 拉丁美洲
    • 多边环境协定
  • 影响行业的因素
    • 司机
      • 对在 IT 运营中利用 AI 的服务的需求不断增加
      • 核心企业运营对云计算的亲和力增强
      • 端到端的业务应用保证和更长的正常运行时间
      • 企业对 IT 运营的 360° 全方位视图的需求不断增长
      • 对减少企业 IT 资本投资的兴趣激增
    • 行业潜在的风险和挑战
      • IT 架构的复杂性和动态性不断增加
      • 增加 IT 运营方面的变革
  • 增长分析
  • 波特分析
  • PESTEL 分析

第 4 章竞争格局，2022 年

  • 介绍
  • 按公司收入划分的市场份额（2022 年）
    • 2022 年主要参与者的竞争分析
      • IBM
      • Splunk
      • Cisco
      • Dynatrace
      • Elastic
    • 2022 年市场创新者竞争分析
      • Servicenow
      • New Relic
      • Datadog
      • Broadcom CA
      • BMC Software
    • 供应商采用矩阵
    • 战略视角矩阵

第 5 章 IT 运营 (AIOps) 市场中的人工智能：按组件分类

  • 主要趋势（按组件）
  • 解决方案
    • 与领域无关的 AIOps
    • 以领域为中心的 AIOps
  • 服务
    • 专业服务
    • 託管服务

第 6 章 IT 运营 (AIOps) 市场中的人工智能：按部署模型

  • 主要趋势（按部署模型）
  • 本地
  • 云

第 7 章 IT 运营中的人工智能 (AIOps) 市场：按公司规模分类

  • 主要趋势（按公司规模）
  • 大公司
  • 中小企业

第 8 章 IT 运营中的人工智能 (AIOps) 市场：按应用分类

  • 主要趋势（按应用）
  • 基础架构管理
  • 实时分析
  • 网络与安全管理
  • 应用性能管理
  • 其他

第 9 章 IT 运营 (AIOps) 市场中的人工智能：最终用户

  • 最终用户的主要趋势
  • BFSI
  • IT/电信
  • 医疗保健
  • 零售
  • 政府
  • 製造业
  • 媒体和娱乐
  • 其他

第 10 章 IT 运营 (AIOps) 市场中的人工智能：按地区

  • 主要趋势（按地区）
  • 北美
    • 美国
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 意大利
    • 西班牙
    • 荷兰
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 东南亚
    • 韩国
    • 澳大利亚和新西兰
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
    • 哥伦比亚
  • 多边环境协定
    • 南非
    • 阿联酋
    • 沙特阿拉伯
    • 以色列

第11章公司简介

  • 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
简介目录
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