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パブリッククラウド市場規模：デプロイメント別、組織規模別、用途別、市場競争力分析、地域展望、応用可能性、競合市場シェア＆予測、2023年～2032年

Public Cloud Market Size By Deployment, By Organization Size, By Application, Regional Outlook, Application Potential, Competitive Market Share & 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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パブリッククラウド市場規模：デプロイメント別、組織規模別、用途別、市場競争力分析、地域展望、応用可能性、競合市場シェア＆予測、2023年～2032年
出版日: 2023年02月28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

パブリッククラウド市場は、中小企業におけるIaaSやPaaSの導入が進んでいることから、2032年に大きな成長を遂げると予想されています。

IaaSやPaaSの導入には、時間やリソースの節約、高額投資の回避、第三者による専門知識の提供など、いくつかの利点があります。

さらに、IaaSは、遠隔地からコンピュータ化されたインフラを簡単に借りることができ、多額の投資をすることなく企業の技術的ニーズをサポートすることができるため、需要が高まっています。さらに、スケーラビリティ、ディザスタリカバリの簡素化、コスト削減、最新情報の維持、リソースの最適化などの利点が、今後数年間でパブリッククラウド業界の需要を高めると予想されています。

パブリッククラウドは、99%以上のアップタイムと故障のリスクを提供し、最近強い支持を集めています。クラウドシステムは複数のサーバーを接続しているため、障害が発生しても他のサーバーがワークロードを引き継ぎ、ビジネスクリティカルなアプリケーションのスムーズで安定したパフォーマンスを保証します。

全体として、パブリッククラウド業界は、導入モデル、組織規模、アプリケーション、地域の観点からセグメント化されています。

展開モデルに基づくと、PaaSセグメントは2023年から2032年の間に15%のCAGRを記録すると予想されます。PaaSの導入が進むことで、ユーザーは運用を構築・維持することなく、アプリケーションの開発、実行、管理ができるようになります。また、プロビジョニングやリソース管理が容易であること、さまざまなプラットフォームを迅速に展開できること、コストを削減できること、難しい設定や構成の手順が少ないこと、必要な知識が少ないことなどの利点が、今後の採用に拍車をかけています。

組織規模別では、大企業のセグメントが2032年まで大きく成長すると予想されています。大企業では、大容量のストレージを必要とする機密性の高いデータが少ないため、パブリッククラウドアプリケーションモデルへの移行が進んでおり、このセグメントの今後の成長に寄与すると考えられます。企業は、機密性の低いデータには、費用対効果が高く、ビジネスモデルに革新的な手段を組み込むのに役立つパブリッククラウドを好んで使用しています。

アプリケーションを考慮すると、2022年の市場シェアはBFSI業界が20%以上を占めています。BFSI業界は、事業運営を強化し、顧客との関係を深めることができるため、パブリッククラウドを選択します。また、パブリッククラウドは、従来のデータ管理システムよりも、銀行業務の効率化、顧客データ管理の向上、不正検知機能によるセキュリティの強化を実現します。

地域別では、アジア太平洋地域のパブリッククラウド市場は、2032年まで15%以上のCAGRを示すと予想されています。クラウドストレージサービスを強化するために協力的な取り組みを行っている大手市場関係者の存在は、今後数年間、この地域の見通しにプラスの影響を与えるでしょう。

目次

第1章 調査手法とスコープ

第2章 エグゼクティブサマリー

第3章 パブリッククラウド市場の業界インサイト

  • イントロダクション
  • COVID-19の影響について
    • 北米
    • 欧州
    • アジア太平洋地域
    • ラテンアメリカ
    • 中東・アフリカ
  • ロシア・ウクライナ戦争への影響
  • 産業エコシステム分析
    • プラットフォームプロバイダー
    • サービスプロバイダー
    • システムインテグレーター
    • 流通チャネル分析
    • エンドユーザーの風景
    • 利益率分析
    • ベンダーマトリクス
  • テクノロジーとイノベーションの展望
  • 特許分析
  • 主な取り組みとニュース
  • 規制状況について
    • 北米
    • 欧州
    • アジア太平洋地域
    • LATAM
    • MEA
  • 業界への影響要因
    • 促進要因
      • ビッグデータ、AI、MLとクラウドの統合が進む
      • パブリッククラウドへの支出増加
      • 新興国におけるクラウドコンピューティング・ソリューションの採用の拡大
      • 中小企業におけるIaaS、PaaSの導入が進む
      • 費用対効果、拡張性
    • 業界の潜在的リスク＆課題
      • データプライバシーや情報セキュリティへの配慮
      • クラウドの無駄遣い
  • 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
  • 各社の市場シェア、2022年
  • 主要市場プレイヤーの競争分析、2022年
    • Amazon Web Services, Inc.
    • Microsoft
    • Google
    • Tencent
    • Salesforce, Inc.
  • 革新的な市場プレイヤーの競争分析、2022年
    • Rackspace Technology
    • Nutanix
    • OVHcloud
    • DigitalOcean
  • 競合のポジショニングマトリックス
  • 戦略的展望マトリクス

第5章 パブリッククラウド市場：デプロイメントモデル別

  • 主要動向
  • SaaS
  • IaaS
  • PaaS

第6章 パブリッククラウド市場：組織規模別

  • 主要動向
  • 大企業
  • 中小企業

第7章 パブリッククラウド市場：アプリケーション別

  • 主な動向
  • BFSI
  • ヘルスケア
  • メディア・エンターテインメント
  • 小売・消費財
  • オートモーティブ
  • IT・テレコム
  • 製造業
  • 政府
  • その他

第8章 パブリッククラウド市場：地域別ランキング

  • 主な動向
  • 北米
    • 米国
    • カナダ
  • 欧州
    • 英国
    • ドイツ
    • フランス
    • イタリア
    • オランダ
    • スイス
  • アジア太平洋地域
    • 中国
    • インド
    • 日本
    • 韓国
    • オーストラリア
    • シンガポール
        • 市場推計・予測、展開モデル別2018-203
  • ラテンアメリカ
    • ブラジル
    • メキシコ
    • アルゼンチン
  • M中東・アフリカ
    • サウジアラビア
    • UAE
    • 南アフリカ

第9章 企業プロファイル

  • Adobe
  • Alibaba Group
  • Amazon Web Services, Inc.
  • Cisco Systems, Inc
  • Cloudflare, Inc.
  • Cloudways Ltd.
  • DigitalOcean, LLC
  • Dropbox
  • Google, LLC
  • HashiCorp
  • Hewlett Packard Enterprise Development LP
  • IBM Corporation
  • Intel Corporation
  • Kamatera Inc.
  • Linode LLC.
  • Microsoft Corporation
  • Nutanix
  • Oracle corporation
  • OVH cloud
  • Rackspace Technology
  • Red Hat, Inc.
  • RingCentral, Inc.
  • Salesforce Inc
  • SAP SE
  • Tencent
  • VMware, Inc.
  • Workday, Inc.
目次
Product Code: 5442

Public Cloud Market is expected to register strong growth during 2032 owing to the budding deployment of IaaS and PaaS in SMEs. IaaS and PaaS deployment offers several benefits, such as saving time and resources, avoiding high investment, and offering third-party expertise.

Moreover, the demand for IaaS is increasing as it assists companies in easily renting a computerized infrastructure from a remote location, thereby supporting their technological needs without massive investment. Besides, scalability, simplified disaster recovery, cost savings, staying up-to-date, and resource optimization are key benefits slated to increase the demand for the public cloud industry in the coming years.

Public clouds are gaining strong traction recently, offering over 99% uptime and no risk of failure. As the overall cloud system connects several servers, during the failures the other server takes over the workload, ensuring smooth and constant performance for business-critical applications.

Overall, the public cloud industry is segmented in terms of deployment model, organization size, application, and region.

Based on the deployment model, the PaaS segment is slated to depict 15% CAGR between 2023-2032. Increasing deployment of PaaS empowers users to develop, run, and manage apps without building and maintaining the operations. Besides, advantages such as easy provisioning and resource management, quick deployment of various platforms, cost savings, fewer difficult setup and configuration steps, and less knowledge requirement will spur its adoption in the future.

By organization size, the large enterprise segment is expected to grow considerably through 2032. Increasing shift of large enterprises to public cloud application models as these enterprises have less-sensitive data that requires large storage space, will help the segment to grow in the future. Companies prefer public cloud for less-sensitive data, which is cost-effective and helps integrate innovative measures into business models.

Considering the application, the BFSI industry held over 20% market share in 2022. The BFSI industry opts for public cloud as it strengthens business operations and increases customer relationships. In addition, the public cloud offers banking efficiency, improves customer data management, and provides more security with fraud detection features than traditional data management systems.

Regionally, the Asia Pacific public cloud market is anticipated to exhibit over 15% CAGR through 2032. The presence of leading market players that are seeking collaborative efforts to enhance their cloud storage services will positively influence the regional outlook in the coming years.

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 Public cloud 360 degree synopsis, 2018-2032
  • 2.2 Business trends
    • 2.2.1 Total Addressable Market (TAM), 2023-2032
  • 2.3 Regional trends
  • 2.4 Deployment model trends
  • 2.5 Organization Size trends
  • 2.6 Application trends

Chapter 3 Public Cloud Market Industry Insights

  • 3.1 Introduction
  • 3.2 Impact of COVID-19
    • 3.2.1 North America
    • 3.2.2 Europe
    • 3.2.3 Asia Pacific
    • 3.2.4 LATAM
    • 3.2.5 MEA
  • 3.3 Russia- Ukraine war impact
  • 3.4 Industry ecosystem analysis
    • 3.4.1 Platform providers
    • 3.4.2 Service provider
    • 3.4.3 System integrators
    • 3.4.4 Distribution channel analysis
    • 3.4.5 End-users landscape
    • 3.4.6 Profit margin analysis
    • 3.4.7 Vendor matrix
  • 3.5 Technology & innovation landscape
  • 3.6 Patent analysis
  • 3.7 Key initiative and news
  • 3.8 Regulatory landscape
    • 3.8.1 North America
    • 3.8.2 Europe
    • 3.8.3 Asia Pacific
    • 3.8.4 LATAM
    • 3.8.5 MEA
  • 3.9 Industry impact forces
    • 3.9.1 Growth drivers
      • 3.9.1.1 Increasing Integration of big data, AI and ML with cloud
      • 3.9.1.2 Increasing Public cloud spending
      • 3.9.1.3 Growing adoption of cloud computing solutions in developing countries
      • 3.9.1.4 Rising deployment of IaaS and PaaS in SMEs
      • 3.9.1.5 Cost effective and scalable
    • 3.9.2 Industry pitfalls & challenges
      • 3.9.2.1 Data privacy and information security concerns
      • 3.9.2.2 Cloud Wastage
  • 3.10 Growth potential analysis
  • 3.11 Porter's analysis
  • 3.12 PESTEL analysis

Chapter 4 Competitive Landscape, 2022

  • 4.1 Introduction
  • 4.2 Company market share, 2022
  • 4.3 Competitive analysis of key market players, 2022
    • 4.3.1 Amazon Web Services, Inc.
    • 4.3.2 Microsoft
    • 4.3.3 Google
    • 4.3.4 Tencent
    • 4.3.5 Salesforce, Inc.
  • 4.4 Competitive analysis of innovative market players, 2022
    • 4.4.1 Rackspace Technology
    • 4.4.2 Nutanix
    • 4.4.3 OVHcloud
    • 4.4.4 DigitalOcean
  • 4.5 Competitive positioning matrix
  • 4.6 Strategic outlook matrix

Chapter 5 Public Cloud Market, By Deployment Model

  • 5.1 Key trends, by deployment model
  • 5.2 SaaS
    • 5.2.1 Market estimates & forecast, 2018-2032
  • 5.3 IaaS
    • 5.3.1 Market estimates & forecast, 2018-2032
  • 5.4 PaaS
    • 5.4.1 Market estimates & forecast, 2018-2032

Chapter 6 Public Cloud Market, By Organization Size

  • 6.1 Key trends, by organization size
  • 6.2 Large enterprises
    • 6.2.1 Market estimates and forecast, 2018-2032
  • 6.3 SMEs
    • 6.3.1 Market estimates and forecast, 2018-2032

Chapter 7 Public Cloud Market, By Application

  • 7.1 Key trends, by application
  • 7.2 BFSI
    • 7.2.1 Market estimates & forecast, 2018-2032
    • 7.2.2 Market estimates & forecast, by deployment model 2018-2032
  • 7.3 Healthcare
    • 7.3.1 Market estimates & forecast, 2018-2032
    • 7.3.2 Market estimates & forecast, by deployment model 2018-2032
  • 7.4 Media and Entertainment
    • 7.4.1 Market estimates & forecast, 2018-2032
    • 7.4.2 Market estimates & forecast, by deployment model 2018-2032
  • 7.5 Retail & consumer goods
    • 7.5.1 Market estimates & forecast, 2018-2032
    • 7.5.2 Market estimates & forecast, by deployment model 2018-2032
  • 7.6 Automotive
    • 7.6.1 Market estimates & forecast, 2018-2032
    • 7.6.2 Market estimates & forecast, by deployment model 2018-2032
  • 7.7 IT and Telecom
    • 7.7.1 Market estimates & forecast, 2018-2032
    • 7.7.2 Market estimates & forecast, by deployment model 2018-2032
  • 7.8 Manufacturing
    • 7.8.1 Market estimates & forecast, 2018-2032
    • 7.8.2 Market estimates & forecast, by deployment model 2018-2032
  • 7.9 Government
    • 7.9.1 Market estimates & forecast, 2018-2032
    • 7.9.2 Market estimates & forecast, by deployment model 2018-2032
  • 7.10 Others
    • 7.10.1 Market estimates & forecast, 2018-2032
    • 7.10.2 Market estimates & forecast, by deployment model 2018-2032

Chapter 8 Public Cloud Market, By Region

  • 8.1 Key trends, by region
  • 8.2 North America
    • 8.2.1 Market estimates & forecast, 2018-2032
    • 8.2.2 Market estimates & forecast, by deployment model 2018-2032
    • 8.2.3 Market estimates & forecast, by organization size, 2018-2032
    • 8.2.4 Market estimates & forecast, by application, 2018-2032
      • 8.2.4.1 Market estimates & forecast, by deployment model 2018-2032
    • 8.2.5 U.S.
      • 8.2.5.1 Market estimates & forecast, 2018-2032
      • 8.2.5.2 Market estimates & forecast, by deployment model 2018-2032
      • 8.2.5.3 Market estimates & forecast, by organization size, 2018-2032
      • 8.2.5.4 Market estimates & forecast, by application, 2018-2032
        • 8.2.5.4.1 Market estimates & forecast, by deployment model 2018-2032
    • 8.2.6 Canada
      • 8.2.6.1 Market estimates & forecast, 2018-2032
      • 8.2.6.2 Market estimates & forecast, by deployment model 2018-2032
      • 8.2.6.3 Market estimates & forecast, by organization size, 2018-2032
      • 8.2.6.4 Market estimates & forecast, by application, 2018-2032
        • 8.2.6.4.1 Market estimates & forecast, by deployment model 2018-2032
  • 8.3 Europe
    • 8.3.1 Market estimates & forecast, 2018-2032
    • 8.3.2 Market estimates & forecast, by deployment model 2018-2032
    • 8.3.3 Market estimates & forecast, by organization size, 2018-2032
    • 8.3.4 Market estimates & forecast, by application, 2018-2032
      • 8.3.4.1 Market estimates & forecast, by deployment model 2018-2032
    • 8.3.5 UK
      • 8.3.5.1 Market estimates & forecast, 2018-2032
      • 8.3.5.2 Market estimates & forecast, by deployment model 2018-2032
      • 8.3.5.3 Market estimates & forecast, by organization size, 2018-2032
      • 8.3.5.4 Market estimates & forecast, by application, 2018-2032
        • 8.3.5.4.1 Market estimates & forecast, by deployment model 2018-2032
    • 8.3.6 Germany
      • 8.3.6.1 Market estimates & forecast, 2018-2032
      • 8.3.6.2 Market estimates & forecast, by deployment model 2018-2032
      • 8.3.6.3 Market estimates & forecast, by organization size, 2018-2032
      • 8.3.6.4 Market estimates & forecast, by application, 2018-2032
        • 8.3.6.4.1 Market estimates & forecast, by deployment model 2018-2032
    • 8.3.7 France
      • 8.3.7.1 Market estimates & forecast, 2018-2032
      • 8.3.7.2 Market estimates & forecast, by deployment model 2018-2032
      • 8.3.7.3 Market estimates & forecast, by organization size, 2018-2032
      • 8.3.7.4 Market estimates & forecast, by application, 2018-2032
        • 8.3.7.4.1 Market estimates & forecast, by deployment model 2018-2032
    • 8.3.8 Italy
      • 8.3.8.1 Market estimates & forecast, 2018-2032
      • 8.3.8.2 Market estimates & forecast, by deployment model 2018-2032
      • 8.3.8.3 Market estimates & forecast, by organization size, 2018-2032
      • 8.3.8.4 Market estimates & forecast, by application, 2018-2032
        • 8.3.8.4.1 Market estimates & forecast, by deployment model 2018-2032
    • 8.3.9 Netherlands
      • 8.3.9.1 Market estimates & forecast, 2018-2032
      • 8.3.9.2 Market estimates & forecast, by deployment model 2018-2032
      • 8.3.9.3 Market estimates & forecast, by organization size, 2018-2032
      • 8.3.9.4 Market estimates & forecast, by application, 2018-2032
        • 8.3.9.4.1 Market estimates & forecast, by deployment model 2018-2032
    • 8.3.10 Switzerland
      • 8.3.10.1 Market estimates & forecast, 2018-2032
      • 8.3.10.2 Market estimates & forecast, by deployment model 2018-2032
      • 8.3.10.3 Market estimates & forecast, by organization size, 2018-2032
      • 8.3.10.4 Market estimates & forecast, by application, 2018-2032
        • 8.3.10.4.1 Market estimates & forecast, by deployment model 2018-2032
  • 8.4 9.4 Asia Pacific
    • 8.4.1 Market estimates & forecast, 2018-2032
    • 8.4.2 Market estimates & forecast, by deployment model 2018-2032
    • 8.4.3 Market estimates & forecast, by organization size, 2018-2032
    • 8.4.4 Market estimates & forecast, by application, 2018-2032
      • 8.4.4.1 Market estimates & forecast, by deployment model 2018-2032
    • 8.4.5 China
      • 8.4.5.1 Market estimates & forecast, 2018-2032
      • 8.4.5.2 Market estimates & forecast, by deployment model 2018-2032
      • 8.4.5.3 Market estimates & forecast, by organization size, 2018-2032
      • 8.4.5.4 Market estimates & forecast, by application, 2018-2032
        • 8.4.5.4.1 Market estimates & forecast, by deployment model 2018-2032
    • 8.4.6 India
      • 8.4.6.1 Market estimates & forecast, 2018-2032
      • 8.4.6.2 Market estimates & forecast, by deployment model 2018-2032
      • 8.4.6.3 Market estimates & forecast, by organization size, 2018-2032
      • 8.4.6.4 Market estimates & forecast, by application, 2018-2032
        • 8.4.6.4.1 Market estimates & forecast, by deployment model 2018-2032
    • 8.4.7 Japan
      • 8.4.7.1 Market estimates & forecast, 2018-2032
      • 8.4.7.2 Market estimates & forecast, by deployment model 2018-2032
      • 8.4.7.3 Market estimates & forecast, by organization size, 2018-2032
      • 8.4.7.4 Market estimates & forecast, by application, 2018-2032
        • 8.4.7.4.1 Market estimates & forecast, by deployment model 2018-2032
    • 8.4.8 South Korea
      • 8.4.8.1 Market estimates & forecast, 2018-2032
      • 8.4.8.2 Market estimates & forecast, by deployment model 2018-2032
      • 8.4.8.3 Market estimates & forecast, by organization size, 2018-2032
      • 8.4.8.4 Market estimates & forecast, by application, 2018-2032
        • 8.4.8.4.1 Market estimates & forecast, by deployment model 2018-2032
    • 8.4.9 Australia
      • 8.4.9.1 Market estimates & forecast, 2018-2032
      • 8.4.9.2 Market estimates & forecast, by deployment model 2018-2032
      • 8.4.9.3 Market estimates & forecast, by organization size, 2018-2032
      • 8.4.9.4 Market estimates & forecast, by application, 2018-2032
        • 8.4.9.4.1 Market estimates & forecast, by deployment model 2018-2032
    • 8.4.10 Singapore
      • 8.4.10.1 Market estimates & forecast, 2018-2032
      • 8.4.10.2 Market estimates & forecast, by deployment model 2018-2032
      • 8.4.10.3 Market estimates & forecast, by organization size, 2018-2032
      • 8.4.10.4 Market estimates & forecast, by application, 2018-2032
        • 8.4.10.4.1 Market estimates & forecast, by deployment model 2018-203
  • 8.5 Latin America
    • 8.5.1 Market estimates & forecast, 2018-2032
    • 8.5.2 Market estimates & forecast, by deployment model 2018-2032
    • 8.5.3 Market estimates & forecast, by organization size, 2018-2032
    • 8.5.4 Market estimates & forecast, by application, 2018-2032
      • 8.5.4.1 Market estimates & forecast, by deployment model 2018-2032
    • 8.5.5 Brazil
      • 8.5.5.1 Market estimates & forecast, 2018-2032
      • 8.5.5.2 Market estimates & forecast, by deployment model 2018-2032
      • 8.5.5.3 Market estimates & forecast, by organization size, 2018-2032
      • 8.5.5.4 Market estimates & forecast, by application, 2018-2032
        • 8.5.5.4.1 Market estimates & forecast, by deployment model 2018-2032
    • 8.5.6 Mexico
      • 8.5.6.1 Market estimates & forecast, 2018-2032
      • 8.5.6.2 Market estimates & forecast, by deployment model 2018-2032
      • 8.5.6.3 Market estimates & forecast, by organization size, 2018-2032
      • 8.5.6.4 Market estimates & forecast, by application, 2018-2032
        • 8.5.6.4.1 Market estimates & forecast, by deployment model 2018-2032
    • 8.5.7 Argentina
      • 8.5.7.1 Market estimates & forecast, 2018-2032
      • 8.5.7.2 Market estimates & forecast, by deployment model 2018-2032
      • 8.5.7.3 Market estimates & forecast, by organization size, 2018-2032
      • 8.5.7.4 Market estimates & forecast, by application, 2018-2032
        • 8.5.7.4.1 Market estimates & forecast, by deployment model 2018-2032
  • 8.6 MEA
    • 8.6.1 Market estimates & forecast, 2018-2032
    • 8.6.2 Market estimates & forecast, by deployment model 2018-2032
    • 8.6.3 Market estimates & forecast, by organization size, 2018-2032
    • 8.6.4 Market estimates & forecast, by application, 2018-2032
      • 8.6.4.1 Market estimates & forecast, by deployment model 2018-2032
    • 8.6.5 Saudi Arabia
      • 8.6.5.1 Market estimates & forecast, 2018-2032
      • 8.6.5.2 Market estimates & forecast, by deployment model 2018-2032
      • 8.6.5.3 Market estimates & forecast, by organization size, 2018-2032
      • 8.6.5.4 Market estimates & forecast, by application, 2018-2032
        • 8.6.5.4.1 Market estimates & forecast, by deployment model 2018-2032
    • 8.6.6 UAE
      • 8.6.6.1 Market estimates & forecast, 2018-2032
      • 8.6.6.2 Market estimates & forecast, by deployment model 2018-2032
      • 8.6.6.3 Market estimates & forecast, by organization size, 2018-2032
      • 8.6.6.4 Market estimates & forecast, by application, 2018-2032
        • 8.6.6.4.1 Market estimates & forecast, by deployment model 2018-2032
    • 8.6.7 South Africa
      • 8.6.7.1 Market estimates & forecast, 2018-2032
      • 8.6.7.2 Market estimates & forecast, by deployment model 2018-2032
      • 8.6.7.3 Market estimates & forecast, by organization size, 2018-2032
      • 8.6.7.4 Market estimates & forecast, by application, 2018-2032
        • 8.6.7.4.1 Market estimates & forecast, by deployment model 2018-2032

Chapter 9 Company Profiles

  • 9.1 Adobe
    • 9.1.1 Business Overview
    • 9.1.2 Financial Data
    • 9.1.3 Product Landscape
    • 9.1.4 Strategic Outlook
    • 9.1.5 SWOT Analysis
  • 9.2 Alibaba Group
    • 9.2.1 Business Overview
    • 9.2.2 Financial Data
    • 9.2.3 Product Landscape
    • 9.2.4 Strategic Outlook
    • 9.2.5 SWOT Analysis
  • 9.3 Amazon Web Services, Inc.
    • 9.3.1 Business Overview
    • 9.3.2 Financial Data
    • 9.3.3 Product Landscape
    • 9.3.4 SWOT Analysis
  • 9.4 Cisco Systems, Inc
    • 9.4.1 Business Overview
    • 9.4.2 Financial Data
    • 9.4.3 Product Landscape
    • 9.4.4 Strategic Outlook
    • 9.4.5 SWOT Analysis
  • 9.5 Cloudflare, Inc.
    • 9.5.1 Business Overview
    • 9.5.2 Financial Data
    • 9.5.3 Product Landscape
    • 9.5.4 Strategic Outlook
    • 9.5.5 SWOT Analysis
  • 9.6 Cloudways Ltd.
    • 9.6.1 Business Overview
    • 9.6.2 Financial Data
    • 9.6.3 Product Landscape
    • 9.6.4 Strategic Outlook
    • 9.6.5 SWOT Analysis
  • 9.7 DigitalOcean, LLC
    • 9.7.1 Business Overview
    • 9.7.2 Financial Data
    • 9.7.3 Product Landscape
    • 9.7.4 Strategic Outlook
    • 9.7.5 SWOT Analysis
  • 9.8 Dropbox
    • 9.8.1 Business Overview
    • 9.8.2 Financial Data
    • 9.8.3 Product Landscape
    • 9.8.4 Strategic Outlook
    • 9.8.5 SWOT Analysis
  • 9.9 Google, LLC
    • 9.9.1 Business Overview
    • 9.9.2 Financial Data
    • 9.9.3 Product Landscape
    • 9.9.4 Strategic Outlook
    • 9.9.5 SWOT Analysis
  • 9.10 HashiCorp
    • 9.10.1 Business Overview
    • 9.10.2 Financial Data
    • 9.10.3 Product Landscape
    • 9.10.4 Strategic Outlook
    • 9.10.5 SWOT Analysis
  • 9.11 Hewlett Packard Enterprise Development LP
    • 9.11.1 Business Overview
    • 9.11.2 Financial Data
    • 9.11.3 Product Landscape
    • 9.11.4 Strategic Outlook
    • 9.11.5 SWOT Analysis
  • 9.12 IBM Corporation
    • 9.12.1 Business Overview
    • 9.12.2 Financial Data
    • 9.12.3 Product Landscape
    • 9.12.4 SWOT Analysis
  • 9.13 Intel Corporation
    • 9.13.1 Business Overview
    • 9.13.2 Financial Data
    • 9.13.3 Product Landscape
    • 9.13.4 SWOT Analysis
  • 9.14 Kamatera Inc.
    • 9.14.1 Business Overview
    • 9.14.2 Financial Data
    • 9.14.3 Product Landscape
    • 9.14.4 Strategic Outlook
    • 9.14.5 SWOT Analysis
  • 9.15 Linode LLC.
    • 9.15.1 Business Overview
    • 9.15.2 Financial Data
    • 9.15.3 Product Landscape
    • 9.15.4 Strategic Outlook
    • 9.15.5 SWOT Analysis
  • 9.16 Microsoft Corporation
    • 9.16.1 Business Overview
    • 9.16.2 Financial Data
    • 9.16.3 Product Landscape
    • 9.16.4 Market Strategy
    • 9.16.5 SWOT Analysis
  • 9.17 Nutanix
    • 9.17.1 Business Overview
    • 9.17.2 Financial Data
    • 9.17.3 Product Landscape
    • 9.17.4 Strategic Outlook
    • 9.17.5 SWOT Analysis
  • 9.18 Oracle corporation
    • 9.18.1 Business Overview
    • 9.18.2 Financial Data
    • 9.18.3 Product Landscape
    • 9.18.4 Market Strategy
    • 9.18.5 SWOT Analysis
  • 9.19 OVH cloud
    • 9.19.1 Business Overview
    • 9.19.2 Financial Data
    • 9.19.3 Product Landscape
    • 9.19.4 Market Strategy
    • 9.19.5 SWOT Analysis
  • 9.20 Rackspace Technology
    • 9.20.1 Business Overview
    • 9.20.2 Financial Data
    • 9.20.3 Product Landscape
    • 9.20.4 Market Strategy
    • 9.20.5 SWOT Analysis
  • 9.21 Red Hat, Inc.
    • 9.21.1 Business Overview
    • 9.21.2 Financial Data
    • 9.21.3 Product Landscape
    • 9.21.4 Market Strategy
    • 9.21.5 SWOT Analysis
  • 9.22 RingCentral, Inc.
    • 9.22.1 Business Overview
    • 9.22.2 Financial Data
    • 9.22.3 Product Landscape
    • 9.22.4 Market Strategy
    • 9.22.5 SWOT Analysis
  • 9.23 Salesforce Inc
    • 9.23.1 Business Overview
    • 9.23.2 Financial Data
    • 9.23.3 Product Landscape
    • 9.23.4 SWOT Analysis
  • 9.24 SAP SE
    • 9.24.1 Business Overview
    • 9.24.2 Financial Data
    • 9.24.3 Product Landscape
    • 9.24.4 Strategic Outlook
    • 9.24.5 SWOT Analysis
  • 9.25 Tencent
    • 9.25.1 Business Overview
    • 9.25.2 Financial Data
    • 9.25.3 Product Landscape
    • 9.25.4 SWOT Analysis
  • 9.26 VMware, Inc.
    • 9.26.1 Business Overview
    • 9.26.2 Financial Data
    • 9.26.3 Product Landscape
    • 9.26.4 Strategic Outlook
    • 9.26.5 SWOT Analysis
  • 9.27 Workday, Inc.
    • 9.27.1 Business Overview
    • 9.27.2 Financial Data
    • 9.27.3 Product Landscape
    • 9.27.4 Strategic Outlook
    • 9.27.5 SWOT Analysis