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公共云市场规模：按部署、组织规模、应用、市场竞争力分析、区域展望、适用性、竞争市场份额和预测，2023-2032 年

市场调查报告书

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1235055

公共云市场规模：按部署、组织规模、应用、市场竞争力分析、区域展望、适用性、竞争市场份额和预测，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个工作天内

价格

简介目录

由于中小企业越来越多地采用 IaaS 和 PaaS，预计公共云市场将在 2032 年显着增长。

IaaS 和 PaaS 实施具有多项优势，例如节省时间和资源、避免大量投资以及提供来自第三方的专业知识。

此外，IaaS 的需求正在增长，因为它可以轻鬆地从远程位置租用计算机化基础设施来支持企业的技术需求，而无需大量投资。此外，可扩展性、灾难恢復简化、成本降低、保持最新状态和资源优化等优势预计将在未来几年推动公共云行业的需求。

公有云提供超过 99% 的正常运行时间和故障风险，并且近来越来越受欢迎。云系统连接多台服务器，当发生故障时，其他服务器接管工作负载，确保关键业务应用程序的流畅和稳定的性能。

总体而言，公有云行业在部署模型、组织规模、应用程序和地理位置方面存在细分。

根据部署模型，PaaS 细分市场预计在 2023 年至 2032 年期间的复合年增长率为 15%。随着越来越多地采用 PaaS，用户将能够开发、运行和管理应用程序，而无需构建和维护操作。此外，诸如易于配置和资源管理、快速部署各种平台、降低成本、减少困难的设置和配置步骤以及所需知识较少等优势有望在未来得到采用。

按组织规模划分，到 2032 年，大型企业细分市场预计将显着增长。由于缺乏需要大存储容量的高度敏感数据，大型企业正在转向公共云应用程序模型，这有望促进该细分市场的未来增长。企业更喜欢公共云来获取不太敏感的数据，因为它具有成本效益，并有助于他们将创新措施纳入其业务模型。

考虑到应用，2022 年 BFSI 行业的市场份额将超过 20%。 BFSI 行业选择公共云是因为它可以增强业务运营并加深客户关係。与传统数据管理系统相比，公共云还可以通过欺诈检测功能实现更高效的银行运营、更好地控制客户数据并增强安全性。

按地区划分，到 2032 年，亚太地区公有云市场的复合年增长率预计将超过 15%。主要市场参与者齐心协力增强云存储服务的存在将对该地区未来几年的前景产生积极影响。

内容

第 1 章研究方法和范围

第 2 章执行摘要

第 3 章公有云市场的行业洞察

介绍
COVID-19 的影响
- 北美
- 欧洲
- 亚太地区
- 拉丁美洲
- 中东和非洲
对俄乌战争的影响
工业生态系统分析
- 平台提供商
- 服务提供商
- 系统集成商
- 分销渠道分析
- 最终用户概况
- 利润率分析
- 供应商矩阵
技术和创新前景
专利分析
主要举措和新闻
监管状况
- 北美
- 欧洲
- 亚太地区
- 拉丁美洲
- 多边环境协定
影响行业的因素
- 司机
  - 大数据、人工智能、机器学习和云的整合正在取得进展
  - 公有云支出增加
  - 在新兴国家/地区扩大云计算解决方案的采用
  - 在中小企业中引入 IaaS 和 PaaS 正在取得进展
  - 成本效益、可扩展性
- 行业潜在的风险和挑战
  - 对数据隐私和信息安全的考虑
  - 云废物
增长分析
波特分析
PESTEL 分析

第 4 章竞争格局，2022 年

介绍
每家公司的市场份额，2022 年
2022 年主要市场参与者的竞争分析
- 亚马逊网络服务公司
- 微软
- 谷歌
- 腾讯
- Salesforce, Inc.
2022 年创新市场参与者的竞争分析
- Rackspace 技术
- 努坦尼克斯
- OVHcloud
- 数字海洋
竞争对手定位矩阵
战略视角矩阵

第 5 章公共云市场：按部署模型

主要趋势
软件即服务
基础设施即服务
平台即服务

第 6 章公共云市场：按组织规模分类

主要趋势
大公司
中小企业

第 7 章公有云市场：按应用

主要趋势
BFSI
医疗保健
媒体和娱乐
零售/消费品
汽车
IT/电信
製造业
政府
其他

第八章公有云市场：区域排名

主要趋势
北美
- 美国
- 加拿大
欧洲
- 英国
- 德国
- 法国
- 意大利
- 荷兰
- 瑞士
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 澳大利亚
- 新加坡
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
M中东和非洲
- 沙特阿拉伯
- 阿联酋
- 南非

第九章公司简介

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.

简介目录

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