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公共雲市場規模：按部署、組織規模、應用、市場競爭力分析、區域展望、適用性、競爭市場份額和預測，2023-2032 年

市場調查報告書

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1235055

公共雲市場規模：按部署、組織規模、應用、市場競爭力分析、區域展望、適用性、競爭市場份額和預測，2023-2032 年

Public Cloud Market Size By Deployment, By Organization Size, By Application, Regional Outlook, Application Potential, Competitive Market Share & Forecast, 2023 - 2032

出版日期: 2023年02月28日 | 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

由於中小企業越來越多地採用 IaaS 和 PaaS，預計公共雲市場將在 2032 年顯著增長。

IaaS 和 PaaS 實施具有多項優勢，例如節省時間和資源、避免大量投資以及提供來自第三方的專業知識。

此外，IaaS 的需求正在增長，因為它可以輕鬆地從遠程位置租用計算機化基礎設施來支持企業的技術需求，而無需大量投資。此外，可擴展性、災難恢復簡化、成本降低、保持最新狀態和資源優化等優勢預計將在未來幾年推動公共雲行業的需求。

公有雲提供超過 99% 的正常運行時間和故障風險，並且近來越來越受歡迎。雲系統連接多台服務器，當發生故障時，其他服務器接管工作負載，確保關鍵業務應用程序的流暢和穩定的性能。

總體而言，公有雲行業在部署模型、組織規模、應用程序和地理位置方面存在細分。

根據部署模型，PaaS 細分市場預計在 2023 年至 2032 年期間的複合年增長率為 15%。隨著越來越多地採用 PaaS，用戶將能夠開發、運行和管理應用程序，而無需構建和維護操作。此外，諸如易於配置和資源管理、快速部署各種平台、降低成本、減少困難的設置和配置步驟以及所需知識較少等優勢有望在未來得到採用。

按組織規模劃分，到 2032 年，大型企業細分市場預計將顯著增長。由於缺乏需要大存儲容量的高度敏感數據，大型企業正在轉向公共雲應用程序模型，這有望促進該細分市場的未來增長。企業更喜歡公共雲來獲取不太敏感的數據，因為它具有成本效益，並有助於他們將創新措施納入其業務模型。

考慮到應用，2022 年 BFSI 行業的市場份額將超過 20%。 BFSI 行業選擇公共雲是因為它可以增強業務運營並加深客戶關係。與傳統數據管理系統相比，公共雲還可以通過欺詐檢測功能實現更高效的銀行運營、更好地控制客戶數據並增強安全性。

按地區劃分，到 2032 年，亞太地區公有雲市場的複合年增長率預計將超過 15%。主要市場參與者齊心協力增強雲存儲服務的存在將對該地區未來幾年的前景產生積極影響。

內容

第 1 章研究方法和範圍

第 2 章執行摘要

第 3 章公有雲市場的行業洞察

介紹
COVID-19 的影響
- 北美
- 歐洲
- 亞太地區
- 拉丁美洲
- 中東和非洲
對俄烏戰爭的影響
工業生態系統分析
- 平台提供商
- 服務提供商
- 系統集成商
- 分銷渠道分析
- 最終用戶概況
- 利潤率分析
- 供應商矩陣
技術和創新前景
專利分析
主要舉措和新聞
監管狀況
- 北美
- 歐洲
- 亞太地區
- 拉丁美洲
- 多邊環境協定
影響行業的因素
- 司機
  - 大數據、人工智能、機器學習和雲的整合正在取得進展
  - 公有雲支出增加
  - 在新興國家/地區擴大雲計算解決方案的採用
  - 在中小企業中引入 IaaS 和 PaaS 正在取得進展
  - 成本效益、可擴展性
- 行業潛在的風險和挑戰
  - 對數據隱私和信息安全的考慮
  - 雲廢物
增長分析
波特分析
PESTEL 分析

第 4 章競爭格局，2022 年

介紹
每家公司的市場份額，2022 年
2022 年主要市場參與者的競爭分析
- 亞馬遜網絡服務公司
- 微軟
- 谷歌
- 騰訊
- Salesforce, Inc.
2022 年創新市場參與者的競爭分析
- Rackspace 技術
- 努坦尼克斯
- OVHcloud
- 數字海洋
競爭對手定位矩陣
戰略視角矩陣

第 5 章公共雲市場：按部署模型

主要趨勢
軟件即服務
基礎設施即服務
平台即服務

第 6 章公共雲市場：按組織規模分類

主要趨勢
大公司
中小企業

第 7 章公有雲市場：按應用

主要趨勢
BFSI
醫療保健
媒體和娛樂
零售/消費品
汽車
IT/電信
製造業
政府
其他

第八章公有雲市場：區域排名

主要趨勢
北美
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 法國
- 意大利
- 荷蘭
- 瑞士
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 澳大利亞
- 新加坡
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
M中東和非洲
- 沙特阿拉伯
- 阿聯酋
- 南非

第九章公司簡介

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.

簡介目錄

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.

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