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DevOps 市场规模：按组件（解决方案、服务）、部署模型（本地、云）、组织规模、应用程序、全球预测：2023-2032 年
市场调查报告书
商品编码
1280651

DevOps 市场规模：按组件（解决方案、服务）、部署模型（本地、云）、组织规模、应用程序、全球预测：2023-2032 年

DevOps Market Size By Component (Solution, Service ), By Deployment Model (On-premise, Cloud ), By Organization Size, Application & Global Forecast, 2023 - 2032
出版日期: | 出版商: Global Market Insights Inc. | 英文 400 Pages | 商品交期: 2-3个工作天内

价格
简介目录

由于对更短软件开发週期和更快交付的需求不断增长，预计 DevOps 市场将从 2023 年到 2032 年经历强劲增长。

DevOps 强调开发和运营团队之间的沟通、协作和集成，以实现快速可靠的软件交付，这是导致产品需求上升的主要因素。它是

此外，随着公司对价格越来越敏感以减少 IT 资本支出并投资于核心业务增长，DevOps 变得越来越重要，这被认为会支持行业的增长。

DevOps 可帮助组织进行持续的软件开发，并降低与软件开发、部署和监控相关的成本。 此外，云提供商的增加将改善软件开发和维护的初始设置，公共云的普及将增加成本降低效果。

DevOps 市场按组织、应用程序和地区划分。

据该组织称，到 2022 年，大型企业部门将在 DevOps 市场中占有相当大的份额，多个产品开发和团队对 DevOps 解决方案和服务的需求将在 2023 年至 2032 年期间实现显着增长。预计生长。

多个团队的存在需要有效的协调和组织过渡到 DevOps 解决方案实现的敏捷实践，从而增加对这些技术的采用。 例如，微软有多个业务部门，例如 Windows、Azure 和 Office。 该组织使用 DevOps 和敏捷实践来开发和实施及时更新的解决方案。

IT 和电信应用领域的 DevOps 市场预计将在 2022 年获得可观的收入，并在 2032 年进一步扩大。 许多 ISP 和运营商正在用新颖、敏捷的软件开发方法取代传统的网络软件，以加速 5G 部署。 随着 SDN 和 SD-WAN 在 5G 部署中变得越来越普遍，可编程网络软件和集中管理的应用程序将变得司空见惯。 DevOps 解决方案有望推动使用运行在虚拟机上的容器化技术来实现高性能的网络基础设施。

在整个行业（尤其是 IT 和电信）日益数字化的推动下，到 2032 年，亚太地区 DevOps 市场的价值估计将超过 150 亿美元。 随着对更快的软件开发和相对容易的更新的需求不断增长，重点是通过采用精益和敏捷实践来快速交付 IT 服务，并且行业参与者正在整个亚太地区扩展他们的产品。

例如，DevOps 平台提供商 GitLab 通过欢迎 Tech Data 作为本地代表，加强了其在亚太地区的渠道野心。 Tech Data 计划在澳大利亚、新西兰、马来西亚、新加坡、印度、越南、日本和印度尼西亚提供 GitLab 的 DevSecOps 平台。

内容

第一章调查方法及范围

第 2 章执行摘要

第 3 章 DevOps 市场的行业洞察

  • COVID-19 的影响
  • 俄乌战争的影响
  • 行业生态系统
  • DevOps 的演变
  • 比较 DevOps 和敏捷方法
  • 技术和创新前景
    • 容器化
    • 基础架构即代码 (IaaC)
    • 无服务器微服务
  • 专利分析
  • 主要举措和新闻
    • 伙伴关係/协作
    • 併购
    • 新发布
    • 投资
  • 监管状况
  • 影响行业的因素
    • 司机
      • 对缩短软件开发週期和交付时间的需求越来越大
      • 对简化 IT 和运营团队之间的协作的需求增加
      • 在软件开发和测试中越来越多地采用自动化
      • 企业更加註重减少 IT 资本支出
      • 微服务和服务虚拟化的采用正在激增
    • 行业潜在的风险和挑战
      • 实施 □□DevOps 方法的复杂性
      • 缺乏标准化的 DevOps 工具和解决方案
  • 增长分析
  • 波特分析
  • PESTEL 分析

第 4 章竞争格局，2022 年

  • 简介
  • 公司的市场份额（2022 年）
  • 2022 年主要市场参与者的竞争分析
    • Atlassian Corporation Plc.
    • CA Technologies（博通）
    • Google LLC（字母表）
    • Micro Focus 国际公司
    • 微软公司
  • 创新领导者的竞争分析（2022 年）
    • 亚马逊网络服务公司 (AWS)
    • 思科系统公司
    • IBM 公司
    • 戴尔科技
    • 甲骨文公司
  • 竞争对手定位矩阵
  • 战略视角矩阵

第 5 章 DevOps 市场：按组件分类

  • 服务的主要趋势
  • 解决方案
    • 管理开发运营
      • 持续经营
      • 测试和开发
      • 开发运营分析
    • 交付开发运营
      • 持续集成
      • 软件交付管理
    • 运营 DevOps
      • 持续部署
      • 监控和性能
  • 服务
    • 专业服务
    • 託管服务

第 6 章 DevOps 市场：按部署模型

  • 服务的主要趋势
  • 本地
  • 云
    • 公共云
    • 私有云
    • 混合云

第 7 章 DevOps 市场：按组织规模分类

  • 按组织规模划分的主要趋势
  • 中小企业
  • 大公司

第 8 章 DevOps 市场：按应用

  • 服务的主要趋势
  • BFSI
  • IT/电信
  • 医疗保健
  • 零售
  • 政府机构
  • 製造业
  • 媒体和娱乐
  • 其他

第 9 章 DevOps 市场：按地区

  • 各地区的主要趋势
  • 北美
    • 美国
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 意大利
    • 西班牙
    • 荷兰
    • 北欧
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 澳大利亚和新西兰
    • 韩国
    • 新加坡
  • 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

第十章公司简介

  • Amazon Web Series（AWS）
  • Atlassian Corporation Plc.
  • CA Technologies（Broadcom, Inc.）
  • Chef Software Inc.（Progress Software Corporation）
  • Cigniti Technologies Ltd.
  • Cisco Systems, Inc.
  • CloudBees Inc.
  • Collabnet, Inc.
  • Dell Technologies
  • Docker, Inc.
  • Eggplant limited（Keysight Technologies Inc.）
  • Gitlab, Inc.
  • Google, LLC（Alphabet）
  • HashiCorp, Inc.
  • IBM corporation
  • Micros Focus International Plc.
  • Microsoft corporation
  • Oracle corporation
  • Parasoft Corporation
  • Perforce Software
  • Puppet Inc.
  • Rackspace US
  • Red Hat, Inc.
  • SmartBear Software, Inc.
  • Tricentis GmbH
简介目录
Product Code: 4620

DevOps Market is poised to witness robust growth from 2023 to 2032, owing to the escalating need for reducing the software development cycle and accelerating delivery. DevOps emphasizes communication, collaboration, and integration between development and operations teams to enable quick and reliable software delivery, a major factor contributing to the rising product demand.

Furthermore, the increasing focus of enterprises on reducing IT capital expenditure is likely to support industry growth, as enterprises are becoming price-sensitive to reduce IT spending and invest in core business growth, the importance of DevOps is increasing.

DevOps helps organizations in continuous software development and lower the expenses associated with software development, deployment, and monitoring. In addition, the increasing number of cloud providers has improved the initial development setup and software maintenance, and the growing popularity of public clouds will enhance the cost-saving benefits.

The DevOps market is segmented based on organization, application, and region.

As per the organization, the large enterprise segment held a sizable share of the DevOps market in 2022 and is expected to grow substantially between 2023 and 2032, driven by the high demand for DevOps solutions and services due to multiple product developments and teams.

The presence of several teams necessitates effective coordination and an organizational shift towards agile practices, accomplished via DevOps solution, which has resulted in the growing adoption rate of these technologies. Microsoft Corporation, for example, includes several business segments, including Windows, Azure, and Office. For the development and implementation of timely updated solutions, the organization uses DevOps and agile practices.

The DevOps market from the IT & telecom application segment amassed significant revenue in 2022 and is projected to expand further through 2032. Many ISPs and telecom providers are replacing traditional network software with novel, agile software development approaches to accelerate 5G rollouts. As SDN and SD-WAN become more prevalent in 5G deployments, programmable network software, and centrally managed applications become more common. DevOps solutions are expected to boost the usage of containerized technologies operating on virtualized machines for high-performance network infrastructure.

The Asia Pacific DevOps market is estimated to amass more than 15 billion in 2032 attributed to the extensive digitization across industry verticals, especially IT and telecom. With an increasing demand for faster software development and relatively simple updates to current installations, there is a greater emphasis on rapid IT service provision through corporate adoption of lean and agile practices, owing to which industry players are expanding their services across APAC.

To cite an instance, GitLab, a DevOps platform provider, strengthened its channel ambitions in Asia Pacific by including Tech Data as a local distributor. Tech Data will provide GitLab's DevSecOps platform to Australia, New Zealand, Malaysia, Singapore, India, Vietnam, Japan, and Indonesia as a part of the arrangement.

Table of Contents

Chapter 1 Methodology and Scope

  • 1.1 Scope & definitions
  • 1.2 Base estimates and calculations
  • 1.3 Forecast calculations
  • 1.4 Data Sources
    • 1.4.1 Primary
    • 1.4.2 Secondary
      • 1.4.2.1 Paid sources
      • 1.4.2.2 Public sources

Chapter 2 Executive Summary

  • 2.1 DevOps industry 360 degree synopsis, 2018-2032
  • 2.2 Business trends
    • 2.2.1 Total Addressable Market (TAM), 2023-2032
  • 2.3 Regional trends
  • 2.4 Component trends
  • 2.5 Deployment trends
  • 2.6 Organization size trends
  • 2.7 Application trends

Chapter 3 DevOps Market Industry Insights

  • 3.1 Impact of COVID-19
    • 3.1.1 North America
    • 3.1.2 Europe
    • 3.1.3 Asia Pacific
    • 3.1.4 Latin America
    • 3.1.5 MEA
  • 3.2 Russia- Ukraine war impact
  • 3.3 Industry ecosystem
  • 3.4 Evolution of DevOps
  • 3.5 Comparison of DevOps and agile approaches
  • 3.6 Technology & innovation landscape
    • 3.6.1 Containerization
    • 3.6.2 Infrastructure-as-a-Code (IaaC)
    • 3.6.3 Serverless microservices
  • 3.7 Patent analysis
  • 3.8 Key initiative and news
    • 3.8.1 Partnership/Collaboration
    • 3.8.2 Merger/acquisition
    • 3.8.3 New launch
    • 3.8.4 Investment
  • 3.9 Regulatory landscape
  • 3.10 Industry impact forces
    • 3.10.1 Growth drivers
      • 3.10.1.1 Rising need for reducing software development cycle and accelerating delivery
      • 3.10.1.2 Increasing demand for streamlining collaboration between IT and operation teams
      • 3.10.1.3 Growing adoption of automation in software development and testing
      • 3.10.1.4 Increasing focus of enterprises on reducing IT capital expenditure
      • 3.10.1.5 Surging adoption of microservices and service virtualization
    • 3.10.2 Industry pitfalls & challenges
      • 3.10.2.1 Complexities in implementing DevOps approach
      • 3.10.2.2 Lack of standardized DevOps tools and solutions
  • 3.11 Growth potential analysis
  • 3.12 Porter's analysis
  • 3.13 PESTEL analysis

Chapter 4 Competitive Landscape, 2022

  • 4.1 Introduction
  • 4.2 Company market share, 2022
  • 4.3 Competitive analysis of major market players, 2022
    • 4.3.1 Atlassian Corporation Plc.
    • 4.3.2 CA Technologies (Broadcom)
    • 4.3.3 Google LLC (Alphhabet)
    • 4.3.4 Micro Focus International Plc
    • 4.3.5 Microsoft Corporation
  • 4.4 Competitive analysis of innovation leaders, 2022
    • 4.4.1 Amazon Web Services, Inc. (AWS)
    • 4.4.2 Cisco System Inc.
    • 4.4.3 IBM Corporation
    • 4.4.4 Dell Technologies
    • 4.4.5 Oracle Corporation
  • 4.5 Competitive positioning matrix
  • 4.6 Strategic outlook matrix

Chapter 5 DevOps Market, By Component

  • 5.1 Key trends, by Service
  • 5.2 Solution
    • 5.2.1 Market estimates and forecast, 2018-2032
    • 5.2.2 Management DevOps
      • 5.2.2.1 Market estimates and forecast, 2018-2032
      • 5.2.2.2 Continuous Business
        • 5.2.2.2.1 Market estimates and forecast, 2018-2032
      • 5.2.2.3 Testing and development
        • 5.2.2.3.1 Market estimates and forecast, 2018-2032
      • 5.2.2.4 DevOps analytics
        • 5.2.2.4.1 Market estimates and forecast, 2018-2032
    • 5.2.3 Delivery DevOps
      • 5.2.3.1 Market estimates and forecast, 2018-2032
      • 5.2.3.2 Continuous integration
        • 5.2.3.2.1 Market estimates and forecast, 2018-2032
      • 5.2.3.3 Software delivery management
        • 5.2.3.3.1 Market estimates and forecast, 2018-2032
    • 5.2.4 Operation DevOps
      • 5.2.4.1 Market estimates and forecast, 2018-2032
      • 5.2.4.2 Continuous deployment
        • 5.2.4.2.1 Market estimates and forecast, 2018-2032
      • 5.2.4.3 Monitoring and performance
        • 5.2.4.3.1 Market estimates and forecast, 2018-2032
  • 5.3 Services
    • 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 DevOps Market, By Deployment model

  • 6.1 Key trends, by Service
  • 6.2 On-premises
    • 6.2.1 Market estimates and forecast, 2018-2032
  • 6.3 Cloud
    • 6.3.1 Market estimates and forecast, 2018-2032
    • 6.3.2 Public cloud
      • 6.3.2.1 Market estimates and forecast, 2018-2032
    • 6.3.3 Private cloud
      • 6.3.3.1 Market estimates and forecast, 2018-2032
    • 6.3.4 Hybrid cloud
      • 6.3.4.1 Market estimates and forecast, 2018-2032

Chapter 7 DevOps Market, By Organization size

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

Chapter 8 DevOps Market, By Application

  • 8.1 Key trends, by Service
  • 8.2 BFSI
    • 8.2.1 Market estimates and forecast, 2018-2032
  • 8.3 IT & Telecom
    • 8.3.1 Market estimates and forecast, 2018-2032
  • 8.4 Healthcare
    • 8.4.1 Market estimates and forecast, 2018-2032
  • 8.5 Retail
    • 8.5.1 Market estimates and forecast, 2018-2032
  • 8.6 Government
    • 8.6.1 Market estimates and forecast, 2018-2032
  • 8.7 Manufacturing
    • 8.7.1 Market estimates and forecast, 2018-2032
  • 8.8 Media & entertainment
    • 8.8.1 Market estimates and forecast, 2018-2032
  • 8.9 Others
    • 8.9.1 Market estimates and forecast, 2018-2032

Chapter 9 DevOps Market, By Region

  • 9.1 Key trends, by region
  • 9.2 North America
    • 9.2.1 Market estimates and forecast, 2018-2032
    • 9.2.2 Market estimates and forecast, by component, 2018-2032
      • 9.2.2.1 Market estimates and forecast, by solution, 2018-2032
        • 9.2.2.1.1 Market estimates and forecast, by management DevOps, 2018-2032
        • 9.2.2.1.2 Market estimates and forecast, by delivery DevOps, 2018-2032
        • 9.2.2.1.3 Market estimates and forecast, by operation DevOps, 2018-2032
      • 9.2.2.2 Market estimates and forecast, by service, 2018-2032
    • 9.2.3 Market estimates and forecast, by deployment model, 2018-2032
      • 9.2.3.1 Market estimates and forecast, by cloud deployment model, 2018-2032
    • 9.2.4 Market estimates and forecast, by Organization size, 2018-2032
    • 9.2.5 Market estimates and forecast, by Application, 2018-2032
    • 9.2.6 U.S.
      • 9.2.6.1 Market estimates and forecast, 2018-2032
      • 9.2.6.2 Market estimates and forecast, by component, 2018-2032
        • 9.2.6.2.1 Market estimates and forecast, by solution, 2018-2032
        • 9.2.6.2.1.1 Market estimates and forecast, by management DevOps, 2018-2032
        • 9.2.6.2.1.2 Market estimates and forecast, by delivery DevOps, 2018-2032
        • 9.2.6.2.1.3 Market estimates and forecast, by operation DevOps, 2018-2032
        • 9.2.6.2.2 Market estimates and forecast, by service, 2018-2032
      • 9.2.6.3 Market estimates and forecast, by deployment model, 2018-2032
        • 9.2.6.3.1 Market estimates and forecast, by cloud deployment model, 2018-2032
      • 9.2.6.4 Market estimates and forecast, by organization size, 2018-2032
      • 9.2.6.5 Market estimates and forecast, by application, 2018-2032
    • 9.2.7 Canada
      • 9.2.7.1 Market estimates and forecast, 2018-2032
      • 9.2.7.2 Market estimates and forecast, by component, 2018-2032
        • 9.2.7.2.1 Market estimates and forecast, by solution, 2018-2032
        • 9.2.7.2.1.1 Market estimates and forecast, by management DevOps, 2018-2032
        • 9.2.7.2.1.2 Market estimates and forecast, by delivery DevOps, 2018-2032
        • 9.2.7.2.1.3 Market estimates and forecast, by operation DevOps, 2018-2032
        • 9.2.7.2.2 Market estimates and forecast, by service, 2018-2032
      • 9.2.7.3 Market estimates and forecast, by deployment model, 2018-2032
        • 9.2.7.3.1 Market estimates and forecast, by cloud deployment model, 2018-2032
      • 9.2.7.4 Market estimates and forecast, by organization size, 2018-2032
      • 9.2.7.5 Market estimates and forecast, by application, 2018-2032
  • 9.3 Europe
    • 9.3.1 Market estimates and forecast, 2018-2032
    • 9.3.2 Market estimates and forecast, by component, 2018-2032
      • 9.3.2.1 Market estimates and forecast, by solution, 2018-2032
        • 9.3.2.1.1 Market estimates and forecast, by management DevOps, 2018-2032
        • 9.3.2.1.2 Market estimates and forecast, by delivery DevOps, 2018-2032
        • 9.3.2.1.3 Market estimates and forecast, by operation DevOps, 2018-2032
      • 9.3.2.2 Market estimates and forecast, by service, 2018-2032
    • 9.3.3 Market estimates and forecast, by deployment model, 2018-2032
      • 9.3.3.1 Market estimates and forecast, by cloud deployment model, 2018-2032
    • 9.3.4 Market estimates and forecast, by Organization size, 2018-2032
    • 9.3.5 Market estimates and forecast, by Application, 2018-2032
    • 9.3.6 UK
      • 9.3.6.1 Market estimates and forecast, 2018-2032
      • 9.3.6.2 Market estimates and forecast, by component, 2018-2032
        • 9.3.6.2.1 Market estimates and forecast, by solution, 2018-2032
        • 9.3.6.2.1.1 Market estimates and forecast, by management DevOps, 2018-2032
        • 9.3.6.2.1.2 Market estimates and forecast, by delivery DevOps, 2018-2032
        • 9.3.6.2.1.3 Market estimates and forecast, by operation DevOps, 2018-2032
        • 9.3.6.2.2 Market estimates and forecast, by service, 2018-2032
      • 9.3.6.3 Market estimates and forecast, by deployment model, 2018-2032
        • 9.3.6.3.1 Market estimates and forecast, by cloud deployment model, 2018-2032
      • 9.3.6.4 Market estimates and forecast, by organization size, 2018-2032
      • 9.3.6.5 Market estimates and forecast, by application, 2018-2032
    • 9.3.7 Germany
      • 9.3.7.1 Market estimates and forecast, 2018-2032
      • 9.3.7.2 Market estimates and forecast, by component, 2018-2032
        • 9.3.7.2.1 Market estimates and forecast, by solution, 2018-2032
        • 9.3.7.2.1.1 Market estimates and forecast, by management DevOps, 2018-2032
        • 9.3.7.2.1.2 Market estimates and forecast, by delivery DevOps, 2018-2032
        • 9.3.7.2.1.3 Market estimates and forecast, by operation DevOps, 2018-2032
        • 9.3.7.2.2 Market estimates and forecast, by service, 2018-2032
      • 9.3.7.3 Market estimates and forecast, by deployment model, 2018-2032
        • 9.3.7.3.1 Market estimates and forecast, by cloud deployment model, 2018-2032
      • 9.3.7.4 Market estimates and forecast, by organization size, 2018-2032
      • 9.3.7.5 Market estimates and forecast, by application, 2018-2032
    • 9.3.8 France
      • 9.3.8.1 Market estimates and forecast, 2018-2032
      • 9.3.8.2 Market estimates and forecast, by component, 2018-2032
        • 9.3.8.2.1 Market estimates and forecast, by solution, 2018-2032
        • 9.3.8.2.1.1 Market estimates and forecast, by management DevOps, 2018-2032
        • 9.3.8.2.1.2 Market estimates and forecast, by delivery DevOps, 2018-2032
        • 9.3.8.2.1.3 Market estimates and forecast, by operation DevOps, 2018-2032
        • 9.3.8.2.2 Market estimates and forecast, by service, 2018-2032
      • 9.3.8.3 Market estimates and forecast, by deployment model, 2018-2032
        • 9.3.8.3.1 Market estimates and forecast, by cloud deployment model, 2018-2032
      • 9.3.8.4 Market estimates and forecast, by organization size, 2018-2032
      • 9.3.8.5 Market estimates and forecast, by application, 2018-2032
    • 9.3.9 Italy
      • 9.3.9.1 Market estimates and forecast, 2018-2032
      • 9.3.9.2 Market estimates and forecast, by component, 2018-2032
        • 9.3.9.2.1 Market estimates and forecast, by solution, 2018-2032
        • 9.3.9.2.1.1 Market estimates and forecast, by management DevOps, 2018-2032
        • 9.3.9.2.1.2 Market estimates and forecast, by delivery DevOps, 2018-2032
        • 9.3.9.2.1.3 Market estimates and forecast, by operation DevOps, 2018-2032
        • 9.3.9.2.2 Market estimates and forecast, by service, 2018-2032
      • 9.3.9.3 Market estimates and forecast, by deployment model, 2018-2032
        • 9.3.9.3.1 Market estimates and forecast, by cloud deployment model, 2018-2032
      • 9.3.9.4 Market estimates and forecast, by organization size, 2018-2032
      • 9.3.9.5 Market estimates and forecast, by application, 2018-2032
    • 9.3.10 Spain
      • 9.3.10.1 Market estimates and forecast, 2018-2032
      • 9.3.10.2 Market estimates and forecast, by component, 2018-2032
        • 9.3.10.2.1 Market estimates and forecast, by solution, 2018-2032
        • 9.3.10.2.1.1 Market estimates and forecast, by management DevOps, 2018-2032
        • 9.3.10.2.1.2 Market estimates and forecast, by delivery DevOps, 2018-2032
        • 9.3.10.2.1.3 Market estimates and forecast, by operation DevOps, 2018-2032
        • 9.3.10.2.2 Market estimates and forecast, by service, 2018-2032
      • 9.3.10.3 Market estimates and forecast, by deployment model, 2018-2032
        • 9.3.10.3.1 Market estimates and forecast, by cloud deployment model, 2018-2032
      • 9.3.10.4 Market estimates and forecast, by organization size, 2018-2032
      • 9.3.10.5 Market estimates and forecast, by application, 2018-2032
    • 9.3.11 Netherlands
      • 9.3.11.1 Market estimates and forecast, 2018-2032
      • 9.3.11.2 Market estimates and forecast, by component, 2018-2032
        • 9.3.11.2.1 Market estimates and forecast, by solution, 2018-2032
        • 9.3.11.2.1.1 Market estimates and forecast, by management DevOps, 2018-2032
        • 9.3.11.2.1.2 Market estimates and forecast, by delivery DevOps, 2018-2032
        • 9.3.11.2.1.3 Market estimates and forecast, by operation DevOps, 2018-2032
        • 9.3.11.2.2 Market estimates and forecast, by service, 2018-2032
      • 9.3.11.3 Market estimates and forecast, by deployment model, 2018-2032
        • 9.3.11.3.1 Market estimates and forecast, by cloud deployment model, 2018-2032
      • 9.3.11.4 Market estimates and forecast, by organization size, 2018-2032
      • 9.3.11.5 Market estimates and forecast, by application, 2018-2032
    • 9.3.12 Nordics
      • 9.3.12.1 Market estimates and forecast, 2018-2032
      • 9.3.12.2 Market estimates and forecast, by component, 2018-2032
        • 9.3.12.2.1 Market estimates and forecast, by solution, 2018-2032
        • 9.3.12.2.1.1 Market estimates and forecast, by management DevOps, 2018-2032
        • 9.3.12.2.1.2 Market estimates and forecast, by delivery DevOps, 2018-2032
        • 9.3.12.2.1.3 Market estimates and forecast, by operation DevOps, 2018-2032
        • 9.3.12.2.2 Market estimates and forecast, by service, 2018-2032
      • 9.3.12.3 Market estimates and forecast, by deployment model, 2018-2032
        • 9.3.12.3.1 Market estimates and forecast, by cloud deployment model, 2018-2032
      • 9.3.12.4 Market estimates and forecast, by organization size, 2018-2032
      • 9.3.12.5 Market estimates and forecast, by application, 2018-2032
  • 9.4 Asia Pacific
    • 9.4.1 Market estimates and forecast, 2018-2032
    • 9.4.2 Market estimates and forecast, by component, 2018-2032
      • 9.4.2.1 Market estimates and forecast, by solution, 2018-2032
        • 9.4.2.1.1 Market estimates and forecast, by management DevOps, 2018-2032
        • 9.4.2.1.2 Market estimates and forecast, by delivery DevOps, 2018-2032
        • 9.4.2.1.3 Market estimates and forecast, by operation DevOps, 2018-2032
      • 9.4.2.2 Market estimates and forecast, by service, 2018-2032
    • 9.4.3 Market estimates and forecast, by deployment model, 2018-2032
      • 9.4.3.1 Market estimates and forecast, by cloud deployment model, 2018-2032
    • 9.4.4 Market estimates and forecast, by Organization size, 2018-2032
    • 9.4.5 Market estimates and forecast, by Application, 2018-2032
    • 9.4.6 China
      • 9.4.6.1 Market estimates and forecast, 2018-2032
      • 9.4.6.2 Market estimates and forecast, by component, 2018-2032
        • 9.4.6.2.1 Market estimates and forecast, by solution, 2018-2032
        • 9.4.6.2.1.1 Market estimates and forecast, by management DevOps, 2018-2032
        • 9.4.6.2.1.2 Market estimates and forecast, by delivery DevOps, 2018-2032
        • 9.4.6.2.1.3 Market estimates and forecast, by operation DevOps, 2018-2032
        • 9.4.6.2.2 Market estimates and forecast, by service, 2018-2032
      • 9.4.6.3 Market estimates and forecast, by deployment model, 2018-2032
        • 9.4.6.3.1 Market estimates and forecast, by cloud deployment model, 2018-2032
      • 9.4.6.4 Market estimates and forecast, by organization size, 2018-2032
      • 9.4.6.5 Market estimates and forecast, by application, 2018-2032
    • 9.4.7 India
      • 9.4.7.1 Market estimates and forecast, 2018-2032
      • 9.4.7.2 Market estimates and forecast, by component, 2018-2032
        • 9.4.7.2.1 Market estimates and forecast, by solution, 2018-2032
        • 9.4.7.2.1.1 Market estimates and forecast, by management DevOps, 2018-2032
        • 9.4.7.2.1.2 Market estimates and forecast, by delivery DevOps, 2018-2032
        • 9.4.7.2.1.3 Market estimates and forecast, by operation DevOps, 2018-2032
        • 9.4.7.2.2 Market estimates and forecast, by service, 2018-2032
      • 9.4.7.3 Market estimates and forecast, by deployment model, 2018-2032
        • 9.4.7.3.1 Market estimates and forecast, by cloud deployment model, 2018-2032
      • 9.4.7.4 Market estimates and forecast, by organization size, 2018-2032
      • 9.4.7.5 Market estimates and forecast, by application, 2018-2032
    • 9.4.8 Japan
      • 9.4.8.1 Market estimates and forecast, 2018-2032
      • 9.4.8.2 Market estimates and forecast, by component, 2018-2032
        • 9.4.8.2.1 Market estimates and forecast, by solution, 2018-2032
        • 9.4.8.2.1.1 Market estimates and forecast, by management DevOps, 2018-2032
        • 9.4.8.2.1.2 Market estimates and forecast, by delivery DevOps, 2018-2032
        • 9.4.8.2.1.3 Market estimates and forecast, by operation DevOps, 2018-2032
        • 9.4.8.2.2 Market estimates and forecast, by service, 2018-2032
      • 9.4.8.3 Market estimates and forecast, by deployment model, 2018-2032
        • 9.4.8.3.1 Market estimates and forecast, by cloud deployment model, 2018-2032
      • 9.4.8.4 Market estimates and forecast, by organization size, 2018-2032
      • 9.4.8.5 Market estimates and forecast, by application, 2018-2032
    • 9.4.9 Australia and New Zealand
      • 9.4.9.1 Market estimates and forecast, 2018-2032
      • 9.4.9.2 Market estimates and forecast, by component, 2018-2032
        • 9.4.9.2.1 Market estimates and forecast, by solution, 2018-2032
        • 9.4.9.2.1.1 Market estimates and forecast, by management DevOps, 2018-2032
        • 9.4.9.2.1.2 Market estimates and forecast, by delivery DevOps, 2018-2032
        • 9.4.9.2.1.3 Market estimates and forecast, by operation DevOps, 2018-2032
        • 9.4.9.2.2 Market estimates and forecast, by service, 2018-2032
      • 9.4.9.3 Market estimates and forecast, by deployment model, 2018-2032
        • 9.4.9.3.1 Market estimates and forecast, by cloud deployment model, 2018-2032
      • 9.4.9.4 Market estimates and forecast, by organization size, 2018-2032
      • 9.4.9.5 Market estimates and forecast, by application, 2018-2032
    • 9.4.10 South Korea
      • 9.4.10.1 Market estimates and forecast, 2018-2032
      • 9.4.10.2 Market estimates and forecast, by component, 2018-2032
        • 9.4.10.2.1 Market estimates and forecast, by solution, 2018-2032
        • 9.4.10.2.1.1 Market estimates and forecast, by management DevOps, 2018-2032
        • 9.4.10.2.1.2 Market estimates and forecast, by delivery DevOps, 2018-2032
        • 9.4.10.2.1.3 Market estimates and forecast, by operation DevOps, 2018-2032
        • 9.4.10.2.2 Market estimates and forecast, by service, 2018-2032
      • 9.4.10.3 Market estimates and forecast, by deployment model, 2018-2032
        • 9.4.10.3.1 Market estimates and forecast, by cloud deployment model, 2018-2032
      • 9.4.10.4 Market estimates and forecast, by organization size, 2018-2032
      • 9.4.10.5 Market estimates and forecast, by application, 2018-2032
    • 9.4.11 Singapore
      • 9.4.11.1 Market estimates and forecast, 2018-2032
      • 9.4.11.2 Market estimates and forecast, by component, 2018-2032
        • 9.4.11.2.1 Market estimates and forecast, by solution, 2018-2032
        • 9.4.11.2.1.1 Market estimates and forecast, by management DevOps, 2018-2032
        • 9.4.11.2.1.2 Market estimates and forecast, by delivery DevOps, 2018-2032
        • 9.4.11.2.1.3 Market estimates and forecast, by operation DevOps, 2018-2032
        • 9.4.11.2.2 Market estimates and forecast, by service, 2018-2032
      • 9.4.11.3 Market estimates and forecast, by deployment model, 2018-2032
        • 9.4.11.3.1 Market estimates and forecast, by cloud deployment model, 2018-2032
      • 9.4.11.4 Market estimates and forecast, by organization size, 2018-2032
      • 9.4.11.5 Market estimates and forecast, by application, 2018-2032
  • 9.5 Latin America
    • 9.5.1 Market estimates and forecast, 2018-2032
    • 9.5.2 Market estimates and forecast, by component, 2018-2032
      • 9.5.2.1 Market estimates and forecast, by solution, 2018-2032
        • 9.5.2.1.1 Market estimates and forecast, by management DevOps, 2018-2032
        • 9.5.2.1.2 Market estimates and forecast, by delivery DevOps, 2018-2032
        • 9.5.2.1.3 Market estimates and forecast, by operation DevOps, 2018-2032
      • 9.5.2.2 Market estimates and forecast, by service, 2018-2032
    • 9.5.3 Market estimates and forecast, by deployment model, 2018-2032
      • 9.5.3.1 Market estimates and forecast, by cloud deployment model, 2018-2032
    • 9.5.4 Market estimates and forecast, by Organization size, 2018-2032
    • 9.5.5 Market estimates and forecast, by Application, 2018-2032
    • 9.5.6 Brazil
      • 9.5.6.1 Market estimates and forecast, 2018-2032
      • 9.5.6.2 Market estimates and forecast, by component, 2018-2032
        • 9.5.6.2.1 Market estimates and forecast, by solution, 2018-2032
        • 9.5.6.2.1.1 Market estimates and forecast, by management DevOps, 2018-2032
        • 9.5.6.2.1.2 Market estimates and forecast, by delivery DevOps, 2018-2032
        • 9.5.6.2.1.3 Market estimates and forecast, by operation DevOps, 2018-2032
        • 9.5.6.2.2 Market estimates and forecast, by service, 2018-2032
      • 9.5.6.3 Market estimates and forecast, by deployment model, 2018-2032
        • 9.5.6.3.1 Market estimates and forecast, by cloud deployment model, 2018-2032
      • 9.5.6.4 Market estimates and forecast, by organization size, 2018-2032
      • 9.5.6.5 Market estimates and forecast, by application, 2018-2032
    • 9.5.7 Mexico
      • 9.5.7.1 Market estimates and forecast, 2018-2032
      • 9.5.7.2 Market estimates and forecast, by component, 2018-2032
        • 9.5.7.2.1 Market estimates and forecast, by solution, 2018-2032
        • 9.5.7.2.1.1 Market estimates and forecast, by management DevOps, 2018-2032
        • 9.5.7.2.1.2 Market estimates and forecast, by delivery DevOps, 2018-2032
        • 9.5.7.2.1.3 Market estimates and forecast, by operation DevOps, 2018-2032
        • 9.5.7.2.2 Market estimates and forecast, by service, 2018-2032
      • 9.5.7.3 Market estimates and forecast, by deployment model, 2018-2032
        • 9.5.7.3.1 Market estimates and forecast, by cloud deployment model, 2018-2032
      • 9.5.7.4 Market estimates and forecast, by organization size, 2018-2032
      • 9.5.7.5 Market estimates and forecast, by application, 2018-2032
    • 9.5.8 Argentina
      • 9.5.8.1 Market estimates and forecast, 2018-2032
      • 9.5.8.2 Market estimates and forecast, by component, 2018-2032
        • 9.5.8.2.1 Market estimates and forecast, by solution, 2018-2032
        • 9.5.8.2.1.1 Market estimates and forecast, by management DevOps, 2018-2032
        • 9.5.8.2.1.2 Market estimates and forecast, by delivery DevOps, 2018-2032
        • 9.5.8.2.1.3 Market estimates and forecast, by operation DevOps, 2018-2032
        • 9.5.8.2.2 Market estimates and forecast, by service, 2018-2032
      • 9.5.8.3 Market estimates and forecast, by deployment model, 2018-2032
        • 9.5.8.3.1 Market estimates and forecast, by cloud deployment model, 2018-2032
      • 9.5.8.4 Market estimates and forecast, by organization size, 2018-2032
      • 9.5.8.5 Market estimates and forecast, by application, 2018-2032
    • 9.5.9 Colombia
      • 9.5.9.1 Market estimates and forecast, 2018-2032
      • 9.5.9.2 Market estimates and forecast, by component, 2018-2032
        • 9.5.9.2.1 Market estimates and forecast, by solution, 2018-2032
        • 9.5.9.2.1.1 Market estimates and forecast, by management DevOps, 2018-2032
        • 9.5.9.2.1.2 Market estimates and forecast, by delivery DevOps, 2018-2032
        • 9.5.9.2.1.3 Market estimates and forecast, by operation DevOps, 2018-2032
        • 9.5.9.2.2 Market estimates and forecast, by service, 2018-2032
      • 9.5.9.3 Market estimates and forecast, by deployment model, 2018-2032
        • 9.5.9.3.1 Market estimates and forecast, by cloud deployment model, 2018-2032
      • 9.5.9.4 Market estimates and forecast, by organization size, 2018-2032
      • 9.5.9.5 Market estimates and forecast, by application, 2018-2032
  • 9.6 MEA
    • 9.6.1 Market estimates and forecast, 2018-2032
    • 9.6.2 Market estimates and forecast, by component, 2018-2032
      • 9.6.2.1 Market estimates and forecast, by solution, 2018-2032
        • 9.6.2.1.1 Market estimates and forecast, by management DevOps, 2018-2032
        • 9.6.2.1.2 Market estimates and forecast, by delivery DevOps, 2018-2032
        • 9.6.2.1.3 Market estimates and forecast, by operation DevOps, 2018-2032
      • 9.6.2.2 Market estimates and forecast, by service, 2018-2032
    • 9.6.3 Market estimates and forecast, by deployment model, 2018-2032
      • 9.6.3.1 Market estimates and forecast, by cloud deployment model, 2018-2032
    • 9.6.4 Market estimates and forecast, by Organization size, 2018-2032
    • 9.6.5 Market estimates and forecast, by Application, 2018-2032
    • 9.6.6 South Africa
      • 9.6.6.1 Market estimates and forecast, 2018-2032
      • 9.6.6.2 Market estimates and forecast, by component, 2018-2032
        • 9.6.6.2.1 Market estimates and forecast, by solution, 2018-2032
        • 9.6.6.2.1.1 Market estimates and forecast, by management DevOps, 2018-2032
        • 9.6.6.2.1.2 Market estimates and forecast, by delivery DevOps, 2018-2032
        • 9.6.6.2.1.3 Market estimates and forecast, by operation DevOps, 2018-2032
        • 9.6.6.2.2 Market estimates and forecast, by service, 2018-2032
      • 9.6.6.3 Market estimates and forecast, by deployment model, 2018-2032
        • 9.6.6.3.1 Market estimates and forecast, by cloud deployment model, 2018-2032
      • 9.6.6.4 Market estimates and forecast, by organization size, 2018-2032
      • 9.6.6.5 Market estimates and forecast, by application, 2018-2032
    • 9.6.7 UAE
      • 9.6.7.1 Market estimates and forecast, 2018-2032
      • 9.6.7.2 Market estimates and forecast, by component, 2018-2032
        • 9.6.7.2.1 Market estimates and forecast, by solution, 2018-2032
        • 9.6.7.2.1.1 Market estimates and forecast, by management DevOps, 2018-2032
        • 9.6.7.2.1.2 Market estimates and forecast, by delivery DevOps, 2018-2032
        • 9.6.7.2.1.3 Market estimates and forecast, by operation DevOps, 2018-2032
        • 9.6.7.2.2 Market estimates and forecast, by service, 2018-2032
      • 9.6.7.3 Market estimates and forecast, by deployment model, 2018-2032
        • 9.6.7.3.1 Market estimates and forecast, by cloud deployment model, 2018-2032
      • 9.6.7.4 Market estimates and forecast, by organization size, 2018-2032
      • 9.6.7.5 Market estimates and forecast, by application, 2018-2032
    • 9.6.8 Saudi Arabia
      • 9.6.8.1 Market estimates and forecast, 2018-2032
      • 9.6.8.2 Market estimates and forecast, by component, 2018-2032
        • 9.6.8.2.1 Market estimates and forecast, by solution, 2018-2032
        • 9.6.8.2.1.1 Market estimates and forecast, by management DevOps, 2018-2032
        • 9.6.8.2.1.2 Market estimates and forecast, by delivery DevOps, 2018-2032
        • 9.6.8.2.1.3 Market estimates and forecast, by operation DevOps, 2018-2032
        • 9.6.8.2.2 Market estimates and forecast, by service, 2018-2032
      • 9.6.8.3 Market estimates and forecast, by deployment model, 2018-2032
        • 9.6.8.3.1 Market estimates and forecast, by cloud deployment model, 2018-2032
      • 9.6.8.4 Market estimates and forecast, by organization size, 2018-2032
      • 9.6.8.5 Market estimates and forecast, by application, 2018-2032
    • 9.6.9 Israel
      • 9.6.9.1 Market estimates and forecast, 2018-2032
      • 9.6.9.2 Market estimates and forecast, by component, 2018-2032
        • 9.6.9.2.1 Market estimates and forecast, by solution, 2018-2032
        • 9.6.9.2.1.1 Market estimates and forecast, by management DevOps, 2018-2032
        • 9.6.9.2.1.2 Market estimates and forecast, by delivery DevOps, 2018-2032
        • 9.6.9.2.1.3 Market estimates and forecast, by operation DevOps, 2018-2032
        • 9.6.9.2.2 Market estimates and forecast, by service, 2018-2032
      • 9.6.9.3 Market estimates and forecast, by deployment model, 2018-2032
        • 9.6.9.3.1 Market estimates and forecast, by cloud deployment model, 2018-2032
      • 9.6.9.4 Market estimates and forecast, by organization size, 2018-2032
      • 9.6.9.5 Market estimates and forecast, by application, 2018-2032

Chapter 10 Company Profiles

  • 10.1 Amazon Web Series (AWS)
    • 10.1.1 Business Overview
    • 10.1.2 Financial Data
    • 10.1.3 Product Landscape
    • 10.1.4 Strategic Outlook
    • 10.1.5 SWOT Analysis
  • 10.2 Atlassian Corporation Plc.
    • 10.2.1 Business Overview
    • 10.2.2 Financial Data
    • 10.2.3 Product Landscape
    • 10.2.4 Strategic Outlook
    • 10.2.5 SWOT Analysis
  • 10.3 CA Technologies (Broadcom, Inc.)
    • 10.3.1 Business Overview
    • 10.3.2 Financial Data
    • 10.3.3 Product Landscape
    • 10.3.4 Strategic Outlook
    • 10.3.5 SWOT Analysis
  • 10.4 Chef Software Inc. (Progress Software Corporation)
    • 10.4.1 Business Overview
    • 10.4.2 Financial Data
    • 10.4.3 Product Landscape
    • 10.4.4 Strategic Outlook
    • 10.4.5 SWOT Analysis
  • 10.5 Cigniti Technologies Ltd.
    • 10.5.1 Business Overview
    • 10.5.2 Financial Data
    • 10.5.3 Product Landscape
    • 10.5.4 Strategic Outlook
    • 10.5.5 SWOT Analysis
  • 10.6 Cisco Systems, Inc.
    • 10.6.1 Business Overview
    • 10.6.2 Financial Data
    • 10.6.3 Product Landscape
    • 10.6.4 Strategic Outlook
    • 10.6.5 SWOT Analysis
  • 10.7 CloudBees Inc.
    • 10.7.1 Business Overview
    • 10.7.2 Financial Data
    • 10.7.3 Product Landscape
    • 10.7.4 Strategic Outlook
    • 10.7.5 SWOT Analysis
  • 10.8 Collabnet, Inc.
    • 10.8.1 Business Overview
    • 10.8.2 Financial Data
    • 10.8.3 Product Landscape
    • 10.8.4 Strategic Outlook
    • 10.8.5 SWOT Analysis
  • 10.9 Dell Technologies
    • 10.9.1 Business Overview
    • 10.9.2 Financial Data
    • 10.9.3 Product Landscape
    • 10.9.4 Strategic Outlook
    • 10.9.5 SWOT Analysis
  • 10.10 Docker, Inc.
    • 10.10.1 Business Overview
    • 10.10.2 Financial Data
    • 10.10.3 Product Landscape
    • 10.10.4 Strategic Outlook
    • 10.10.5 SWOT Analysis
  • 10.11 Eggplant limited (Keysight Technologies Inc.)
    • 10.11.1 Business Overview
    • 10.11.2 Financial Data
    • 10.11.3 Product Landscape
    • 10.11.4 Strategic Outlook
    • 10.11.5 SWOT Analysis
  • 10.12 Gitlab, Inc.
    • 10.12.1 Business Overview
    • 10.12.2 Financial Data
    • 10.12.3 Product Landscape
    • 10.12.4 Strategic Outlook
    • 10.12.5 SWOT Analysis
  • 10.13 Google, LLC (Alphabet)
    • 10.13.1 Business Overview
    • 10.13.2 Financial Data
    • 10.13.3 Product Landscape
    • 10.13.4 Strategic Outlook
    • 10.13.5 SWOT Analysis
  • 10.14 HashiCorp, Inc.
    • 10.14.1 Business Overview
    • 10.14.2 Financial Data
    • 10.14.3 Product Landscape
    • 10.14.4 Strategic Outlook
    • 10.14.5 SWOT Analysis
  • 10.15 IBM corporation
    • 10.15.1 Business Overview
    • 10.15.2 Financial Data
    • 10.15.3 Product Landscape
    • 10.15.4 Strategic Outlook
    • 10.15.5 SWOT Analysis
  • 10.16 Micros Focus International Plc.
    • 10.16.1 Business Overview
    • 10.16.2 Financial Data
    • 10.16.3 Product Landscape
    • 10.16.4 Strategic Outlook
    • 10.16.5 SWOT Analysis
  • 10.17 Microsoft corporation
    • 10.17.1 Business Overview
    • 10.17.2 Financial Data
    • 10.17.3 Product Landscape
    • 10.17.4 Strategic Outlook
    • 10.17.5 SWOT Analysis
  • 10.18 Oracle corporation
    • 10.18.1 Business Overview
    • 10.18.2 Financial Data
    • 10.18.3 Product Landscape
    • 10.18.4 Strategic Outlook
    • 10.18.5 SWOT Analysis
  • 10.19 Parasoft Corporation
    • 10.19.1 Business Overview
    • 10.19.2 Financial Data
    • 10.19.3 Product Landscape
    • 10.19.4 Strategic Outlook
    • 10.19.5 SWOT Analysis
  • 10.20 Perforce Software
    • 10.20.1 Business Overview
    • 10.20.2 Financial Data
    • 10.20.3 Product Landscape
    • 10.20.4 Strategic Outlook
    • 10.20.5 SWOT Analysis
  • 10.21 Puppet Inc.
    • 10.21.1 Business Overview
    • 10.21.2 Financial Data
    • 10.21.3 Product Landscape
    • 10.21.4 Strategic Outlook
    • 10.21.5 SWOT Analysis
  • 10.22 Rackspace US
    • 10.22.1 Business Overview
    • 10.22.2 Financial Data
    • 10.22.3 Product Landscape
    • 10.22.4 Strategic Outlook
    • 10.22.5 SWOT Analysis
  • 10.23 Red Hat, Inc.
    • 10.23.1 Business Overview
    • 10.23.2 Financial Data
    • 10.23.3 Product Landscape
    • 10.23.4 Strategic Outlook
    • 10.23.5 SWOT Analysis
  • 10.24 SmartBear Software, Inc.
    • 10.24.1 Business Overview
    • 10.24.2 Financial Data
    • 10.24.3 Product Landscape
    • 10.24.4 Strategic Outlook
    • 10.24.5 SWOT Analysis
  • 10.25 Tricentis GmbH
    • 10.25.1 Business Overview
    • 10.25.2 Financial Data
    • 10.25.3 Product Landscape
    • 10.25.4 Strategic Outlook
    • 10.25.5 SWOT Analysis