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DevOps 市場規模：按組件（解決方案、服務）、部署模型（本地、雲）、組織規模、應用程序、全球預測：2023-2032 年
市場調查報告書
商品編碼
1280651

DevOps 市場規模：按組件（解決方案、服務）、部署模型（本地、雲）、組織規模、應用程序、全球預測：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個工作天內

價格
簡介目錄

由於對更短軟件開發週期和更快交付的需求不斷增長，預計 DevOps 市場將從 2023 年到 2032 年經歷強勁增長。

DevOps 強調開發和運營團隊之間的溝通、協作和集成，以實現快速可靠的軟件交付，這是導致產品需求上升的主要因素。它是

此外，隨著公司對價格越來越敏感以減少 IT 資本支出並投資於核心業務增長，DevOps 變得越來越重要，這被認為會支持行業的增長。

DevOps 可幫助組織進行持續的軟件開發，並降低與軟件開發、部署和監控相關的成本。 此外，雲提供商的增加將改善軟件開發和維護的初始設置，公共雲的普及將增加成本降低效果。

DevOps 市場按組織、應用程序和地區劃分。

據該組織稱，到 2022 年，大型企業部門將在 DevOps 市場中佔有相當大的份額，多個產品開發和團隊對 DevOps 解決方案和服務的需求將在 2023 年至 2032 年期間實現顯著增長。預計生長。

多個團隊的存在需要有效的協調和組織過渡到 DevOps 解決方案實現的敏捷實踐，從而增加對這些技術的採用。 例如，微軟有多個業務部門，例如 Windows、Azure 和 Office。 該組織使用 DevOps 和敏捷實踐來開發和實施及時更新的解決方案。

IT 和電信應用領域的 DevOps 市場預計將在 2022 年獲得可觀的收入，並在 2032 年進一步擴大。 許多 ISP 和運營商正在用新穎、敏捷的軟件開發方法取代傳統的網絡軟件，以加速 5G 部署。 隨著 SDN 和 SD-WAN 在 5G 部署中變得越來越普遍，可編程網絡軟件和集中管理的應用程序將變得司空見慣。 DevOps 解決方案有望推動使用運行在虛擬機上的容器化技術來實現高性能的網絡基礎設施。

在整個行業（尤其是 IT 和電信）日益數字化的推動下，到 2032 年，亞太地區 DevOps 市場的價值估計將超過 150 億美元。 隨著對更快的軟件開發和相對容易的更新的需求不斷增長，重點是通過採用精益和敏捷實踐來快速交付 IT 服務，並且行業參與者正在整個亞太地區擴展他們的產品。

例如，DevOps 平台提供商 GitLab 通過歡迎 Tech Data 作為本地代表，加強了其在亞太地區的渠道野心。 Tech Data 計劃在澳大利亞、新西蘭、馬來西亞、新加坡、印度、越南、日本和印度尼西亞提供 GitLab 的 DevSecOps 平台。

內容

第一章調查方法及範圍

第 2 章執行摘要

第 3 章 DevOps 市場的行業洞察

  • COVID-19 的影響
  • 俄烏戰爭的影響
  • 行業生態系統
  • DevOps 的演變
  • 比較 DevOps 和敏捷方法
  • 技術和創新前景
    • 容器化
    • 基礎架構即代碼 (IaaC)
    • 無服務器微服務
  • 專利分析
  • 主要舉措和新聞
    • 夥伴關係/協作
    • 併購
    • 新發布
    • 投資
  • 監管狀況
  • 影響行業的因素
    • 司機
      • 對縮短軟件開發週期和交付時間的需求越來越大
      • 對簡化 IT 和運營團隊之間的協作的需求增加
      • 在軟件開發和測試中越來越多地採用自動化
      • 企業更加註重減少 IT 資本支出
      • 微服務和服務虛擬化的採用正在激增
    • 行業潛在的風險和挑戰
      • 實施 □□DevOps 方法的複雜性
      • 缺乏標準化的 DevOps 工具和解決方案
  • 增長分析
  • 波特分析
  • PESTEL 分析

第 4 章競爭格局，2022 年

  • 簡介
  • 公司的市場份額（2022 年）
  • 2022 年主要市場參與者的競爭分析
    • Atlassian Corporation Plc.
    • CA Technologies（博通）
    • Google LLC（字母表）
    • Micro Focus 國際公司
    • 微軟公司
  • 創新領導者的競爭分析（2022 年）
    • 亞馬遜網絡服務公司 (AWS)
    • 思科系統公司
    • IBM 公司
    • 戴爾科技
    • 甲骨文公司
  • 競爭對手定位矩陣
  • 戰略視角矩陣

第 5 章 DevOps 市場：按組件分類

  • 服務的主要趨勢
  • 解決方案
    • 管理開發運營
      • 持續經營
      • 測試和開發
      • 開發運營分析
    • 交付開發運營
      • 持續集成
      • 軟件交付管理
    • 運營 DevOps
      • 持續部署
      • 監控和性能
  • 服務
    • 專業服務
    • 託管服務

第 6 章 DevOps 市場：按部署模型

  • 服務的主要趨勢
  • 本地
  • 雲
    • 公共雲
    • 私有雲
    • 混合雲

第 7 章 DevOps 市場：按組織規模分類

  • 按組織規模劃分的主要趨勢
  • 中小企業
  • 大公司

第 8 章 DevOps 市場：按應用

  • 服務的主要趨勢
  • BFSI
  • IT/電信
  • 醫療保健
  • 零售
  • 政府機構
  • 製造業
  • 媒體和娛樂
  • 其他

第 9 章 DevOps 市場：按地區

  • 各地區的主要趨勢
  • 北美
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 意大利
    • 西班牙
    • 荷蘭
    • 北歐
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 澳大利亞和新西蘭
    • 韓國
    • 新加坡
  • 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

第十章公司簡介

  • 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
簡介目錄
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