Summary

The global private cloud market will grow from USD 124.8 billion in 2024 to USD 190.9 billion by 2029 at a compounded annual growth rate (CAGR) of 8.9% during the forecast period. The coming year is predicted to experience severe disruption in the evolution of different organizations' adoption of private cloud solutions with Generative AI or Gen AI; this results in Gen AI incorporating machine learning and natural language processing models; reliable and defense-run frameworks are used to process the big data and do other algorithmic computations. Private clouds are ideal for deploying Gen AI because they offer all the security, control, and compliance necessary to process private information. This sound architecture of operating with computers in the cloud ensures that the organizational algorithms and data that cannot afford to be vulnerable to these threats will not be exposed; at the same time, the organizations are in a position to meet the industry standards of their respective operational industries.
The fact is that organizations will be able to utilize private clouds with Gen AI to achieve extraordinary levels of automation, individualization, and analytics. Many sectors, such as health, banking and finance, automobile, and manufacturing, will benefit most from these developments. For instance, healthcare enables individual solutions for each patient, disease prognosis based on the patient's condition, and auto-data management for the residents without causing data insecurity issues in a private cloud-based Gen AI environment. In finance, it can enhance the outcome of fraud, risk assessment, generation of efficient virtual assistants in chatbots, and numerous other reports. Their scale also helps appropriately manage an organization's private cloud. It relates the resource utilization to the needs of Gen AI workload to optimize resource use and cut expenses. It will form the integration that results in innovation, operation, competitiveness, and business positioning for their types. As private clouds and gen AI are sophisticated and advanced, when the interface or integration of the two is set as definite, then the beyond capabilities of enterprise technology will be redefined as a more innovative and safer means of transformation in the digital procedure.


By type, the managed private cloud holds the highest CAGR during the forecast period.
The private cloud market, by type, is segmented into managed private cloud, virtual private cloud, on-premises private cloud, and hosted private cloud. The managed private cloud segment is estimated to grow at the highest CAGR during the forecasted private cloud market. A managed private cloud is a private cloud solution where the provider is solely responsible for managing and maintaining the cloud solution. This includes monitoring, maintenance, backup, and troubleshooting, enabling the organization to enjoy the benefits of the cloud without performing operational tasks. Managed service improves productivity, security, and compliance by providing flexibility and customized solutions. For example, Rackspace Technology has a managed private cloud offering called Rackspace Managed Private Cloud, which allows companies to deploy applications on dedicated hardware with the help of Rackspace’s cloud professionals. This service assists organizations in concentrating on their key activities, critical projects, and programs. At the same time, they leave the specifics of cloud management to Rackspace because it will be done effectively and efficiently, and it will be secure and compliant.
The large enterprises segment holds the largest market share during the forecast period based on organization size.
The private cloud market is divided by organization size into large enterprises and SMEs. The large enterprise segment holds the largest market share. Private cloud is essential, especially to large enterprises, as it facilitates enhanced control, security, and flexibility in the managed IT environment. These solutions help enterprises to work with data, which can have higher security levels to fit the compliance requirements. Traditional private clouds also facilitate integration with the currently existing networks in the IT environment and, thus, allow for the attainment of the most desirable level of flexibility associated with specific business needs while guaranteeing the highest levels of performance and reliability.
For instance, a prominent business organization operating in the fiscal area often comes across many customers' details and dealings. Adopting the private cloud implies that data will be managed and stored within the institution's closed system and will not be seen by the general public. Thus, there will be few cases of data theft and other compliance problems concerning financial institutions. This configuration allows for establishing different security needs and resource partitioning for each application, which is vital for achieving the high availability and disaster recovery standards expected of the institution.
Based on the PaaS, the application development & deployment segment holds the highest CAGR during the forecast period.
The PaaS service model segments the private cloud market into application development & deployment, application testing & quality, and data analytics & processing. The application development & deployment segment is expected to hold the highest CAGR during the forecast period. Application development and deployment for the PaaS service model in the private cloud market maintain a straightforward and efficient application life cycle process. It offers developers comprehensive tools, frameworks, and services for developing applications, testing and deploying them, and managing the applications. It also boosts security since it comes with components such as authentication, encryption, and access control for data security and compliance. Finally, application developments and deployment as PaaS in private cloud environments help in time to market, increase productivity, decrease operational cost, and at the same time maintain enhanced security and scalability.
Breakdown of primaries
We interviewed Chief Executive Officers (CEOs), directors of innovation and technology, system integrators, and executives from several significant private cloud market companies.
 By Company: Tier I: 35%, Tier II: 25%, and Tier III: 40%
 By Designation: C-Level Executives: 25%, Director Level: 30%, and Others: 45%
 By Region: North America: 42%, Europe: 25%, Asia Pacific: 18%, Rest of World: 15%
Some of the significant private cloud market vendors are Microsoft (US), Google (US), IBM (US), AWS (US), Oracle (US), VMware (US), Alibaba Cloud (China), HPE (US), Cisco (US), and SAP (Germany).
Research coverage:
In the market report, we covered the private cloud market across segments. We estimated the market size and growth potential for many segments based on type, service model, organization size, vertical, and region. It contains a thorough competition analysis of the major market participants, information about their businesses, essential observations about their product and service offerings, current trends, and critical market strategies.
Reasons to buy this report:

With information on the most accurate revenue estimates for the whole private cloud industry and its subsegments, the research will benefit market leaders and recent newcomers. Stakeholders will benefit from this report's increased understanding of the competitive environment, which will help them better position their companies and develop go-to-market strategies. The research offers information on the main market drivers, constraints, opportunities, and challenges, as well as aids players in understanding the pulse of the industry.

The report provides insights on the following pointers:

Analysis of key drivers (Increasing demand for data security, Customization and control over IT infrastructure, Enhanced performance, and reliability), restraints (High initial costs, Complexity of implementation and management), opportunities (Integration with hybrid cloud solutions, Emphasis on sustainability and green IT), and challenges (Vendor lock-in and interoperability challenges, Limited elasticity and flexibility, Cyberattacks posing risks of business disruption and data loss) influencing the growth of the private cloud market.

• Product Development/Innovation: Comprehensive analysis of emerging technologies, R&D initiatives, and new service and product introductions in the private cloud industry.

• Market Development: In-depth details regarding profitable markets: the paper examines the global private cloud industry.

• Market Diversification: Comprehensive details regarding recent advancements, investments, unexplored regions, new goods and services, and the private cloud industry.

• Competitive Assessment: Thorough analysis of the market shares, expansion plans, and service portfolios of the top competitors in the private cloud industry, such as Microsoft (US), Google (US), IBM (US), AWS (US), and VMware (US).

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Table of Contents

1 INTRODUCTION 28
1.1 STUDY OBJECTIVES 28
1.2 MARKET DEFINITION 28
1.2.1 INCLUSIONS AND EXCLUSIONS 29
1.3 MARKET SCOPE 29
1.3.1 MARKET SEGMENTATION 30
1.3.2 YEARS CONSIDERED 31
1.4 CURRENCY CONSIDERED 31
1.5 STAKEHOLDERS 32
2 RESEARCH METHODOLOGY 33
2.1 RESEARCH APPROACH 33
2.1.1 SECONDARY DATA 34
2.1.2 PRIMARY DATA 34
2.1.2.1 Breakup of Primary Interviews 35
2.1.2.2 Key Industry Insights 36
2.2 MARKET BREAKUP AND DATA TRIANGULATION 37
2.3 MARKET SIZE ESTIMATION 38
2.3.1 TOP-DOWN APPROACH 39
2.3.2 BOTTOM-UP APPROACH 39
2.3.3 MARKET ESTIMATION APPROACHES 41
2.4 MARKET FORECAST 42
2.5 RESEARCH ASSUMPTIONS 43
2.6 RESEARCH LIMITATIONS 45
3 EXECUTIVE SUMMARY 46
4 PREMIUM INSIGHTS 50
4.1 ATTRACTIVE GROWTH OPPORTUNITIES FOR PLAYERS IN PRIVATE CLOUD MARKET 50
4.2 PRIVATE CLOUD MARKET, BY TYPE 50
4.3 PRIVATE CLOUD MARKET, BY SERVICE MODEL 51
4.4 PRIVATE CLOUD MARKET, BY ORGANIZATION SIZE 51
4.5 PRIVATE CLOUD MARKET, BY VERTICAL 52
4.6 PRIVATE CLOUD MARKET, BY REGION 52
 
5 MARKET OVERVIEW AND INDUSTRY TRENDS 53
5.1 INTRODUCTION 53
5.2 MARKET DYNAMICS 53
5.2.1 DRIVERS 54
5.2.1.1 Increasing demand for data security 54
5.2.1.2 Customization and control over IT infrastructure 54
5.2.1.3 Enhanced performance and reliability 54
5.2.2 RESTRAINTS 55
5.2.2.1 High initial costs 55
5.2.2.2 Complexity of implementation and management 55
5.2.3 OPPORTUNITIES 55
5.2.3.1 Integration with hybrid cloud solutions 55
5.2.3.2 Emphasis on sustainability and green IT 56
5.2.4 CHALLENGES 56
5.2.4.1 Vendor lock-in and interoperability challenges 56
5.2.4.2 Limited elasticity and flexibility 56
5.2.4.3 Cyberattacks posing risks of business disruption and data loss 56
5.3 CASE STUDY ANALYSIS 57
5.3.1 BEN & JERRY’S AIMED TO STORE AND SHARE FILES USING DROPBOX 57
5.3.2 AWS CLOUD AIDED WITH COST-CUTTING ADVANTAGE & GROWTH MULTIPLIER FOR IT FIRM 57
5.3.3 DEKA IMMOBILIEN SCALED UP IN CONTENT CLOUD 58
5.4 ECOSYSTEM ANALYSIS 59
5.5 VALUE CHAIN ANALYSIS 60
5.6 PRICING ANALYSIS 62
5.6.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY SOLUTION 63
5.6.2 AVERAGE SELLING PRICE TRENDS 65
5.7 PATENT ANALYSIS 65
5.8 TECHNOLOGY ANALYSIS 66
5.8.1 KEY TECHNOLOGIES 66
5.8.1.1 Virtualization 66
5.8.1.2 Software-defined Networking (SDN) 67
5.8.1.3 Automation & Orchestration 67
5.8.2 COMPLEMENTARY TECHNOLOGIES 68
5.8.2.1 Edge Computing 68
5.8.2.2 Blockchain 68
5.8.2.3 AI & ML 68
5.8.3 ADJACENT TECHNOLOGIES 68
5.8.3.1 Internet of Things 68
5.8.3.2 5G Technology 69
 
5.9 REGULATORY LANDSCAPE 69
5.9.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 69
5.9.2 REGULATIONS, BY REGION 70
5.9.2.1 North America 70
5.9.2.2 Europe 71
5.9.2.3 Asia Pacific 72
5.9.2.4 Middle East & South Africa 72
5.9.2.5 Latin America 72
5.9.3 REGULATORY IMPLICATIONS AND INDUSTRY STANDARDS 73
5.9.3.1 General Data Protection Regulation (GDPR) 73
5.9.3.2 SEC Rule 17a-4 73
5.9.3.3 ISO/IEC 27001 73
5.9.3.4 System and Organization Controls 2 Type II Compliance 73
5.9.3.5 Financial Industry Regulatory Authority (FINRA) 73
5.9.3.6 Freedom of Information Act (FOIA) 74
5.9.3.7 Health Insurance Portability and Accountability Act (HIPAA) 74
5.10 PORTER’S FIVE FORCES’ ANALYSIS 74
5.10.1 THREAT OF NEW ENTRANTS 75
5.10.2 THREAT OF SUBSTITUTES 76
5.10.3 BARGAINING POWER OF SUPPLIERS 76
5.10.4 BARGAINING POWER OF BUYERS 76
5.10.5 INTENSITY OF COMPETITIVE RIVALRY 76
5.11 KEY CONFERENCES AND EVENTS 77
5.12 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES 78
5.13 KEY STAKEHOLDERS & BUYING CRITERIA 79
5.13.1 KEY STAKEHOLDERS IN BUYING PROCESS 79
5.14 BUYING CRITERIA 80
5.15 BUSINESS MODEL ANALYSIS 81
5.15.1 PAY-AS-YOU-GO 82
5.15.2 SUBSCRIPTION MODEL 82
5.15.3 FREEMIUM 82
5.15.4 CUSTOM PRICING AGREEMENT 82
5.16 INVESTMENT & FUNDING SCENARIO 83
5.17 FUTURE OF PRIVATE CLOUD 83
5.18 IMPACT OF AI/GEN AI ON PRIVATE CLOUD MARKET 84
5.19 INDUSTRY TRENDS: USE CASES 85
5.19.1 USE CASE 1: RETAIL & E-COMMERCE INDUSTRY 85
5.19.2 USE CASE 2: HEALTHCARE & LIFE SCIENCES INDUSTRY 85
5.19.3 TOP CLIENTS ADAPTING TO GEN AI 86
5.19.3.1 HPE 86
5.19.3.2 VMware 86
6 PRIVATE CLOUD MARKET, BY SERVICE MODEL 87
6.1 INTRODUCTION 88
6.1.1 SERVICE MODELS: PRIVATE CLOUD MARKET DRIVERS 88
6.2 INFRASTRUCTURE-AS-A-SERVICE (IAAS) 90
6.2.1 COMPUTE 91
6.2.1.1 Compute-intensive applications to offer affordability, scalability, integration, and load balancing 91
6.2.1.2 Virtual machines (VMs) 92
6.2.1.3 Bare metals 92
6.2.1.4 Containers 92
6.2.2 NETWORK 93
6.2.2.1 Offers VPN, load balancing, firewall, and SDN networking for secure and high-performing networks 93
6.2.2.2 Virtual network 93
6.2.2.3 VPN gateways 93
6.2.3 STORAGE 94
6.2.3.1 Helps in organizing data and its storage & backup and archival 94
6.2.3.2 Block storage 95
6.2.3.3 File storage 95
6.3 PLATFORM-AS-A-SERVICE (PAAS) 96
6.3.1 APPLICATION DEVELOPMENT & DEPLOYMENT 98
6.3.1.1 Application development to lead to cost-efficiency, scalability, and rapid development 98
6.3.1.2 Application hosting 98
6.3.1.3 Container orchestration 98
6.3.2 DATA ANALYTICS & PROCESSING 99
6.3.2.1 Analytics and processing applications to enhance performance and decision-making 99
6.3.2.2 Big data processing 99
6.3.2.3 Business intelligence 99
6.3.3 APPLICATION TESTING & QUALITY 100
6.3.3.1 Growing preference for effective testing strategy systems, user interfaces, and APIs 100
6.3.3.2 CI/CD tools 101
6.3.3.3 Automated testing 101
6.4 SOFTWARE-AS-A-SERVICE (SAAS) 102
6.4.1 BUSINESS APPLICATIONS 104
6.4.1.1 SaaS business applications integrate into companies’ operations to improve processes 104
6.4.1.2 Customer relationship management 104
6.4.1.3 Enterprise resource planning 104
6.4.1.4 Project management 104
 
6.4.2 COLLABORATION & PRODUCTIVITY TOOLS 105
6.4.2.1 Enables real-time collaboration among distributed teams, fostering seamless communication and knowledge sharing 105
6.4.2.2 Email & communication 106
6.4.2.3 Document management & collaboration 106
6.4.2.4 Team collaboration 106
7 PRIVATE CLOUD MARKET, BY TYPE 108
7.1 INTRODUCTION 109
7.1.1 TYPES: PRIVATE CLOUD MARKET DRIVERS 109
7.2 ON-PREMISES PRIVATE CLOUD 110
7.2.1 INTEGRATION OF CLOUD COMPUTING WITH ALL ADVANTAGES OF ONSITE SOLUTIONS AND LOCAL INFRASTRUCTURE 110
7.3 HOSTED PRIVATE CLOUD 111
7.3.1 DATA LOSS AND ISSUES RELATED TO REGULATORY COMPLIANCE TO DRIVE PREFERENCE FOR HOSTED PRIVATE CLOUD 111
7.4 MANAGED PRIVATE CLOUD 112
7.4.1 ENABLE ORGANIZATIONS TO HARNESS CLOUD BENEFITS WITHOUT NECESSARILY HANDLING OPERATIONAL TASKS 112
7.5 VIRTUAL PRIVATE CLOUD 113
7.5.1 ORGANIZATIONS CAN CREATE THEIR VIRTUAL TOPOLOGY IN TERMS OF SUBNETS, IP ADDRESSES, AND ROUTING 113
8 PRIVATE CLOUD MARKET, BY ORGANIZATION SIZE 115
8.1 INTRODUCTION 116
8.1.1 ORGANIZATION SIZES: PRIVATE CLOUD MARKET DRIVERS 116
8.2 SMALL AND MEDIUM-SIZED ENTERPRISES 117
8.2.1 CLOUD SERVICES TO EMPOWER SMES TO HOST THEIR APPLICATIONS 117
8.3 LARGE ENTERPRISES 118
8.3.1 RISING ADOPTION OF PRIVATE CLOUD COMPUTING IN LARGE ENTERPRISES TO IMPROVE PRODUCTIVITY AND EFFICIENCY 118
9 PRIVATE CLOUD MARKET, BY VERTICAL 120
9.1 INTRODUCTION 121
9.1.1 VERTICALS: PRIVATE CLOUD MARKET DRIVERS 121
9.2 BFSI 122
9.2.1 NEED TO DECREASE EXPENSES, ENCOURAGE INNOVATION, AND INCREASE FLEXIBILITY 122
9.2.2 BFSI: USE CASES 123
9.2.2.1 Data security & privacy 123
9.2.2.2 Customer relationship management 123
9.2.2.3 Fraud detection & prevention 123
 
9.3 IT & TELECOM 124
9.3.1 ENTERPRISE VIDEO SOLUTIONS ENCOURAGE IT COMPANIES TO TRANSFER KNOWLEDGE AND INFORMATION THROUGH VIDEOS 124
9.3.2 IT & TELECOM: USE CASES 124
9.3.2.1 Software development & testing 124
9.3.2.2 Disaster recovery & business continuity 124
9.3.2.3 Smart infrastructure 125
9.4 HEALTHCARE & LIFE SCIENCES 126
9.4.1 INCREASED FOCUS ON MANAGING PATIENTS’ RECORDS 126
9.4.2 HEALTHCARE & LIFE SCIENCES: USE CASES 126
9.4.2.1 Electronic health record (EHR) management 126
9.4.2.2 Data analytics for research 126
9.4.2.3 Administrative management 126
9.5 GOVERNMENT & PUBLIC SECTOR 127
9.5.1 NEED FOR GOVERNMENT AGENCIES TO GAIN GREATER VISIBILITY AND FASTER DATA ANALYSIS TO DRIVE MARKET 127
9.5.2 GOVERNMENT & PUBLIC SECTOR: USE CASES 128
9.5.2.1 Government infrastructure migration 128
9.5.2.2 Digital government & e-government services 128
9.5.2.3 Inter-agency collaboration 128
9.6 RETAIL & CONSUMER GOODS 129
9.6.1 DEMAND FOR BETTER STORAGE, BACKUP, AND SECURITY SERVICES 129
9.6.2 RETAIL & CONSUMER GOODS: USE CASES 129
9.6.2.1 Point-of-sale systems 129
9.6.2.2 Online shopping & e-commerce 129
9.6.2.3 Security & loss prevention 130
9.6.2.4 Customer behavioral analysis 130
9.7 MANUFACTURING 131
9.7.1 SEAMLESS DATA MANAGEMENT AND REAL-TIME VISIBILITY OFFERED BY PRIVATE CLOUD COMPUTING SERVICES 131
9.7.2 MANUFACTURING: USE CASES 131
9.7.2.1 Supply chain management 131
9.7.2.2 Product lifecycle management 132
9.7.2.3 Manufacturing execution systems (MES) 132
9.8 ENERGY & UTILITIES 133
9.8.1 ADDRESSING ISSUES RELATED TO CRUDE OIL, STORAGE, AND TRANSPORTATION 133
9.8.2 ENERGY & UTILITIES: USE CASES 133
9.8.2.1 Smart grid management 133
9.8.2.2 Energy monitoring & management 134
9.8.2.3 Renewable energy forecasting 134
9.9 OTHER VERTICALS 135
10 PRIVATE CLOUD MARKET, BY REGION 137
10.1 INTRODUCTION 138
10.2 NORTH AMERICA 139
10.2.1 NORTH AMERICA: PRIVATE CLOUD MARKET DRIVERS 139
10.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK 140
10.2.3 US 145
10.2.3.1 Presence of private cloud providers to drive market 145
10.2.4 CANADA 147
10.2.4.1 Increased R&D and focus on long-term infrastructure plan for private cloud 147
10.3 EUROPE 148
10.3.1 EUROPE: PRIVATE CLOUD MARKET DRIVERS 149
10.3.2 EUROPE: MACROECONOMIC OUTLOOK 149
10.3.3 UK 154
10.3.3.1 Increase in digitalization and rapid surge in mobile devices to accelerate market growth 154
10.3.4 GERMANY 155
10.3.4.1 High demand for private cloud among startups in Germany 155
10.3.5 FRANCE 156
10.3.5.1 Focus on equipping public sector operations with private cloud solutions 156
10.3.6 SPAIN 158
10.3.6.1 Expansion plans and road maps of "hyper scalers" to drive market 158
10.3.7 ITALY 159
10.3.7.1 Smart city initiatives and digital transformation to fuel market growth 159
10.3.8 REST OF EUROPE 160
10.4 ASIA PACIFIC 162
10.4.1 ASIA PACIFIC: PRIVATE CLOUD MARKET DRIVERS 162
10.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK 162
10.4.3 CHINA 168
10.4.3.1 Low costs and enhanced business efficiencies to boost demand for cloud-based technologies 168
10.4.4 JAPAN 169
10.4.4.1 High involvement of SMEs in cloud adoption to drive market 169
10.4.5 AUSTRALIA & NEW ZEALAND 170
10.4.5.1 Rapid technological advancements and high degree of R&D to foster market growth 170
10.4.6 INDIA 171
10.4.6.1 Broad customer base and rapid adoption of new technologies to drive market 171
10.4.7 REST OF ASIA PACIFIC 173
 
10.5 MIDDLE EAST & AFRICA 174
10.5.1 MIDDLE EAST & AFRICA: PRIVATE CLOUD MARKET DRIVERS 174
10.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK 175
10.5.3 GULF COOPERATION COUNCIL COUNTRIES 179
10.5.3.1 Driving digital transformation to improve operational efficiency 179
10.5.3.2 KSA 181
10.5.3.3 UAE 182
10.5.3.4 Other GCC countries 183
10.5.4 SOUTH AFRICA 185
10.5.4.1 High adoption of cloud services by startups due to low costs and operational benefits to propel market 185
10.5.5 REST OF MIDDLE EAST & AFRICA 186
10.6 LATIN AMERICA 187
10.6.1 LATIN AMERICA: PRIVATE CLOUD MARKET DRIVERS 188
10.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK 188
10.6.3 BRAZIL 193
10.6.3.1 Need to modernize infrastructure and greater speed in catering to business demands to boost market 193
10.6.4 MEXICO 194
10.6.4.1 Need to enhance employee experience and increase organizational productivity to drive market 194
10.6.5 REST OF LATIN AMERICA 196
11 COMPETITIVE LANDSCAPE 198
11.1 OVERVIEW 198
11.2 KEY PLAYERS’ STRATEGIES/RIGHT TO WIN 198
11.3 MARKET SHARE ANALYSIS 202
11.4 BRAND/PRODUCT COMPARISON 204
11.5 REVENUE ANALYSIS 205
11.6 COMPANY EVALUATION MATRIX FOR KEY PLAYERS 207
11.6.1 STARS 208
11.6.2 EMERGING LEADERS 209
11.6.3 PERVASIVE PLAYERS 209
11.6.4 PARTICIPANTS 209
11.6.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023 211
11.7 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023 214
11.7.1 PROGRESSIVE COMPANIES 214
11.7.2 RESPONSIVE COMPANIES 214
11.7.3 DYNAMIC COMPANIES 214
11.7.4 STARTING BLOCKS 214
11.7.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023 216
 
11.8 COMPANY VALUATION AND FINANCIAL METRICS 217
11.9 COMPETITIVE SCENARIO 217
11.9.1 PRODUCT LAUNCHES & ENHANCEMENTS 218
11.9.2 DEALS 225
12 COMPANY PROFILES 232
12.1 INTRODUCTION 232
12.2 MAJOR PLAYERS 232
12.2.1 MICROSOFT 232
12.2.1.1 Business overview 232
12.2.1.2 Products/Solutions/Services offered 233
12.2.1.3 Recent developments 234
12.2.1.4 MnM view 236
12.2.1.4.1 Right to win 236
12.2.1.4.2 Strategic choices 236
12.2.1.4.3 Weaknesses & competitive threats 236
12.2.2 AWS 237
12.2.2.1 Business overview 237
12.2.2.2 Products/Solutions/Services offered 238
12.2.2.3 Recent developments 241
12.2.2.4 MnM view 244
12.2.2.4.1 Right to win 244
12.2.2.4.2 Strategic choices 245
12.2.2.4.3 Weaknesses and competitive threats 245
12.2.3 VMWARE 246
12.2.3.1 Business overview 246
12.2.3.2 Products/Solutions/Services offered 247
12.2.3.3 Recent developments 248
12.2.3.4 MnM view 249
12.2.3.4.1 Right to win 249
12.2.3.4.2 Strategic choices 249
12.2.3.4.3 Weaknesses and competitive threats 250
12.2.4 IBM 251
12.2.4.1 Business overview 251
12.2.4.2 Products/Solutions/Services offered 252
12.2.4.3 Recent developments 253
12.2.4.4 MnM view 255
12.2.4.4.1 Right to win 255
12.2.4.4.2 Strategic choices 255
12.2.4.4.3 Weaknesses and competitive threats 255
 
12.2.5 HPE 256
12.2.5.1 Business overview 256
12.2.5.2 Products/Solutions/Services offered 257
12.2.5.3 Recent developments 258
12.2.5.4 MnM view 259
12.2.5.4.1 Right to win 259
12.2.5.4.2 Strategic choices 259
12.2.5.4.3 Weaknesses and competitive threats 260
12.2.6 GOOGLE 261
12.2.6.1 Business overview 261
12.2.6.2 Products/Solutions/Services offered 262
12.2.6.3 Recent developments 263
12.2.6.4 MnM view 265
12.2.6.4.1 Right to win 265
12.2.6.4.2 Strategic choices 265
12.2.6.4.3 Weaknesses and competitive threats 266
12.2.7 ORACLE 267
12.2.7.1 Business overview 267
12.2.7.2 Products/Solutions/Services offered 268
12.2.7.3 Recent developments 269
12.2.8 ALIBABA CLOUD 271
12.2.8.1 Business overview 271
12.2.8.2 Products/Solutions/Services offered 272
12.2.8.3 Recent developments 273
12.2.9 SAP 276
12.2.9.1 Business overview 276
12.2.9.2 Products/Solutions/Services offered 277
12.2.9.3 Recent developments 278
12.2.10 CISCO 279
12.2.10.1 Business overview 279
12.2.10.2 Products/Solutions/Services offered 281
12.2.10.3 Recent developments 283
12.3 OTHER PLAYERS 285
12.3.1 OVHCLOUD 285
12.3.2 DIGITALOCEAN 286
12.3.3 RACKSPACE TECHNOLOGY 287
12.3.4 HUAWEI 288
12.3.5 ATOS 289
12.3.6 KYNDRYL 290
12.3.7 NUTANIX 291
12.3.8 TENCENT CLOUD 292
12.3.9 DELL TECHNOLOGIES 293
12.3.10 OPENSTACK 294
12.3.11 INVICTA LINUX 295
12.3.12 G42 CLOUD 296
12.3.13 BSIMPLIFY 297
12.3.14 UPCLOUD 298
12.3.15 SAFECLOUDBOX 299
12.3.16 OPER8 GLOBAL 300
12.3.17 VULTR 300
12.3.18 SCALEWAY 301
12.3.19 CASBAY 301
12.3.20 SAICOM 302
13 ADJACENT AND RELATED MARKETS 303
13.1 INTRODUCTION 303
13.1.1 RELATED MARKETS 303
13.1.2 LIMITATIONS 303
13.2 CLOUD COMPUTING MARKET 303
13.3 PUBLIC CLOUD MARKET 305
14 APPENDIX 306
14.1 DISCUSSION GUIDE 306
14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 310
14.3 CUSTOMIZATION OPTIONS 312
14.4 RELATED REPORTS 312
14.5 AUTHOR DETAILS 313