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表紙：DevOpsの市場規模：コンポーネント別（ソリューション、サービス）、展開モデル別（オンプレミス、クラウド）、組織規模別、用途別、世界予測：2023年～2032年
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DevOpsの市場規模：コンポーネント別（ソリューション、サービス）、展開モデル別（オンプレミス、クラウド）、組織規模別、用途別、世界予測：2023年～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: | 発行: Global Market Insights Inc. | ページ情報: 英文 400 Pages | 納期: 2～3営業日

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DevOpsの市場規模：コンポーネント別（ソリューション、サービス）、展開モデル別（オンプレミス、クラウド）、組織規模別、用途別、世界予測：2023年～2032年
出版日: 2023年05月02日
発行: Global Market Insights Inc.
ページ情報: 英文 400 Pages
納期: 2～3営業日
  • 全表示
  • 概要
  • 目次
概要

DevOps市場は、ソフトウェア開発サイクルの短縮とデリバリーの迅速化のニーズの高まりにより、2023年から2032年にかけて力強い成長を遂げると予想されています。

DevOpsは、開発チームと運用チーム間のコミュニケーション、コラボレーション、統合を重視し、迅速で信頼性の高いソフトウェアの提供を可能にするもので、これが製品需要の高まりに寄与する主な要因となっています。

さらに、IT資本支出を削減し、コアビジネスの成長に投資するために、企業が価格に敏感になっているため、DevOpsの重要性が高まっており、業界の成長をサポートすると考えられます。

DevOpsは、組織の継続的なソフトウェア開発を支援し、ソフトウェア開発、デプロイメント、モニタリングに関連する費用を削減します。また、クラウドプロバイダーの増加により、開発の初期設定やソフトウェアのメンテナンスが改善され、パブリッククラウドの普及により、コスト削減効果が高まります。

DevOps市場は、組織、アプリケーション、地域によって区分されます。

組織によると、2022年のDevOps市場では大企業セグメントがかなりのシェアを占めており、複数の製品開発およびチームによるDevOpsソリューションおよびサービスの需要が高いことから、2023年から2032年にかけて大きく成長すると予測されています。

複数のチームが存在するため、効果的な調整と、DevOpsソリューションによって達成されるアジャイルプラクティスへの組織の移行が必要となり、これらの技術の採用率が高まる結果となっています。例えば、マイクロソフト社は、Windows、Azure、Officeなど、複数の事業部門を擁しています。タイムリーに更新されるソリューションの開発と実装のために、この組織はDevOpsとアジャイルプラクティスを使用しています。

IT＆テレコムアプリケーションセグメントからのDevOps市場は、2022年に大きな収益を獲得し、2032年までさらに拡大すると予測されています。多くのISPや通信事業者は、5Gの展開を加速させるために、従来のネットワークソフトウェアを斬新でアジャイルなソフトウェア開発アプローチに置き換えています。SDNとSD-WANが5Gの展開に普及するにつれ、プログラマブルなネットワークソフトウェアや、一元管理されたアプリケーションが一般的になってきます。DevOpsソリューションは、高性能なネットワークインフラを実現するために、仮想マシン上で動作するコンテナ化技術の利用を促進することが期待されます。

アジア太平洋地域のDevOps市場は、2032年には150億米ドル以上の規模になると推定されていますが、これはITと通信を中心とした業界全体のデジタル化が進んでいることに起因しています。より迅速なソフトウェア開発と比較的簡単なアップデートの要求が高まる中、リーン＆アジャイルプラクティスの採用による迅速なITサービス提供が重視され、業界各社はAPAC全域でサービスを拡大しています。

例えば、DevOpsプラットフォームのプロバイダーであるGitLabは、Tech Dataを現地代理店として迎え入れることで、アジア太平洋におけるチャネルへの意欲を強めています。Tech Dataは、オーストラリア、ニュージーランド、マレーシア、シンガポール、インド、ベトナム、日本、インドネシアにGitLabのDevSecOpsプラットフォームを提供する予定です。

目次

第1章 調査手法と範囲

第2章 エグゼクティブサマリー

第3章 DevOps市場の業界洞察

  • COVID-19のインパクト
  • ロシア・ウクライナ戦争の影響
  • 業界のエコシステム
  • DevOpsの進化
  • DevOpsとアジャイルアプローチの比較
  • テクノロジーとイノベーションの展望
    • コンテナ化
    • インフラストラクチャー・アズ・ア・コード（IaaC）
    • サーバーレスマイクロサービス
  • 特許分析
  • 主要な取り組みとニュース
    • パートナーシップ/コラボレーション
    • 合併・買収
    • 新規立ち上げ
    • 投資
  • 規制状況
  • 業界への影響要因
    • 促進要因
      • ソフトウェア開発サイクルの短縮と納期短縮のニーズの高まり
      • ITチームとオペレーションチーム間のコラボレーションを合理化する需要の増加
      • ソフトウェア開発およびテストにおける自動化の採用の増加
      • IT資本支出の削減に対する企業の注目度の向上
      • マイクロサービスやサービス仮想化の採用が急増しています
    • 業界の潜在的リスク＆課題
      • DevOpsアプローチ導入の複雑さ
      • 標準化されたDevOpsツールやソリューションの欠如
  • 成長性分析
  • ポーター分析
  • PESTEL分析

第4章 競合情勢、2022年

  • イントロダクション
  • 企業の市場シェア（2022年
  • 主要市場プレイヤーの競合分析、2022年
    • Atlassian Corporation Plc.
    • CA Technologies（Broadcom）
    • Google LLC（Alphhabet）
    • Micro Focus International Plc
    • Microsoft Corporation
  • イノベーションリーダーの競合分析（2022年
    • Amazon Web Services, Inc.（AWS）
    • Cisco System Inc.
    • IBM Corporation
    • Dell Technologies
    • Oracle Corporation
  • 競合のポジショニングマトリックス
  • 戦略的展望マトリックス

第5章 DevOps市場：コンポーネント別

  • 主要動向、サービス別
  • ソリューション
    • マネジメント DevOps
      • 継続的なビジネス
      • テストと開発
      • DevOpsアナリティクス
    • デリバリーDevOps
      • 継続的な統合
      • ソフトウェアデリバリーマネジメント
    • オペレーションDevOps
      • 継続的なデプロイメント
      • モニタリングとパフォーマンス
  • サービス
    • プロフェッショナルサービス
    • マネージドサービス

第6章 DevOps市場：展開モデル別

  • 主な動向、サービス別
  • オンプレミス
  • クラウド
    • パブリッククラウド
    • プライベートクラウド
    • ハイブリッドクラウド

第7章 DevOps市場：組織規模別

  • 主な動向、組織規模別
  • 中小企業
  • 大企業

第8章 DevOps市場：用途別

  • 主な動向、サービス別
  • BFSI
  • IT・テレコム
  • ヘルスケア
  • 小売業
  • 政府機関
  • 製造業
  • メディア・エンターテインメント
  • その他

第9章 DevOps市場：地域別

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

第10章 企業プロファイル

  • 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
目次
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