Summary

The global cloud FinOps market will grow from USD 13.5 billion in 2024 to USD 23.3 billion by 2029 at a compounded annual growth rate (CAGR) of 11.4% during the forecast period. Specific technologies such as resource tagging, auto-provision of resources, and instance reservation systems are critical in improving cloud FinOps solutions by improving cost control and operations. Resource tagging might classify and name cloud resources by department, project, or environment. This allows for the proper charge and identification of which departments or processes utilize resources and the expense associated with such utilization. Such visibility helps the finance teams control expenditures and implement strict budgetary measures depending on usage.
Automated resource provisioning is a process of self-provisioning resources in the cloud environment following specific policies or traffic trends. This not only enhances the maneuverability of the operation but also assures that resources are only allocated where necessary, minimizing the amount of spare capacity and expense.
Thirdly, instance reservation systems allow organizations to pre-purchase particular cloud instances or resources for a certain period, which usually comes cheaper than the regular prices. This approach is helpful for budget prediction for costs and utilization of reserved capacities for steady-state workloads. All these technologies collectively constitute the fundamental pillars of effective cloud FinOps that can help organizations attain improved cost optimization, resource allocation, and financial visibility across their cloud deployments. Through these tools, companies can optimize their cloud expenditure in terms of organizational goals, work productivity, and cost containment at a pace that is both flexible and manageable.
By Services, the managed services hold the highest CAGR during the forecast period.
The cloud FinOps market, by services, is segmented into professional services and managed services. The managed services segment is estimated to grow at the highest CAGR during the forecasted cloud FinOps market. Managed services provide complete solutions for companies looking to improve cloud expenditure and boost financial decision-making. These services utilize the FinOps framework to encourage teamwork among engineering, finance, and business departments to optimize cloud investments' business benefits. Managed FinOps services assist businesses in finding opportunities to reduce costs, simplify financial operations, and offer immediate access to financial information. By collaborating with managed service providers, companies can receive expert advice, continuous assistance, and customized solutions to oversee their cloud finances and achieve improved business results efficiently.
The large enterprises segment holds the largest market share during the forecast period based on organization size.
By organization size, the cloud FinOps market is divided into large enterprises and SMEs. Over the projection period, the large enterprises segment is anticipated to hold the largest market share. Large enterprises use sophisticated cost management tactics to enhance their vast multi-cloud setups. These companies encounter difficult obstacles such as overseeing significant cloud expenses, ensuring financial responsibility, and aligning cloud costs with business objectives. Large enterprises use advanced FinOps tools and techniques to manage cloud usage, allocate costs efficiently, and optimize resource utilization with detailed insights. Large enterprises can improve decision-making processes, manage costs, and increase the business value obtained from their cloud investments by promoting collaboration among finance, engineering, and operations teams.
Based on the deployment model, the hybrid cloud segment holds the highest CAGR during the forecast period.
The cloud FinOps market is segmented by deployment mode into public, private, and hybrid clouds. The hybrid cloud segment will hold the highest CAGR during the forecast period. Hybrid cloud deployment merges the advantages of public and private clouds, providing flexibility, scalability, and control of data and applications. In the cloud FinOps sector, organizations can optimize costs by using hybrid cloud solutions, which involve utilizing public cloud resources for fluctuating workloads and keeping sensitive data and critical applications on-premises or in a private cloud setup. This method enables the smooth blending of current infrastructure with cloud services, making resource management and cost optimization strategies more efficient. By utilizing a hybrid cloud, businesses can enhance agility and cost-effectiveness without compromising security and compliance requirements.
Breakdown of primaries
Chief Executive Officers (CEOs), directors of innovation and technology, system integrators, and executives from several significant cloud FinOps market companies were interviewed in-depth.
 By Company: Tier I: 33%, Tier II: 27%, and Tier III: 40%
 By Designation: C-Level Executives: 46%, Director Level: 22%, and Others: 32%
 By Region: North America: 40%, Europe: 28%, Asia Pacific: 27%, Rest of World: 5%
Some of the significant cloud FinOps market vendors are AWS (US), Microsoft (US), IBM (US), Google (US), Oracle (US), Hitachi (Japan), VMware (US), ServiceNow (US), Datadog (US), Lumen Technologies (US), and Flexera (US).
Research coverage:
The cloud FinOps market is covered across segments in the market report. The market size and growth potential are estimated for many segments based on offering, service model, application, organization size, deployment model, 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 cloud FinOps 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 (Abundance of cloud FinOps jobs availability, Cloud FinOps enhances data visibility for accountability and optimization, Integrating cloud FinOps team into existing organizational structure, Cloud FinOps significantly improves investment value realization), restraints (Unnecessary cloud expenses [cloud waste]), opportunities (Leveraging automation tools to streamline FinOps implementation, Growing awareness on cloud cost governance creates opportunities for cloud FinOps growth to scale, Opportunity to maximize cloud ROI using cloud FinOps strategies), and challenges (Effective management of relationships and negotiations with several cloud service providers, Implementation of suggested changes hinders evolving cloud FinOps space) influencing the growth of the cloud FinOps market.

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

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

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

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

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Table of Contents

1 INTRODUCTION 31
1.1 STUDY OBJECTIVES 31
1.2 MARKET DEFINITION 31
1.2.1 INCLUSIONS AND EXCLUSIONS 32
1.3 STUDY SCOPE 33
1.3.1 MARKET SEGMENTATION 33
1.4 YEARS CONSIDERED 34
1.5 CURRENCY CONSIDERED 34
1.6 STAKEHOLDERS 35
1.7 RECESSION IMPACT 35
2 RESEARCH METHODOLOGY 36
2.1 RESEARCH APPROACH 36
2.1.1 SECONDARY DATA 37
2.1.2 PRIMARY DATA 38
2.1.2.1 Breakup of primary profiles 39
2.1.2.2 Key industry insights 39
2.2 MARKET SIZE ESTIMATION 41
2.3 MARKET FORECAST 44
2.4 RESEARCH ASSUMPTIONS 45
2.5 IMPACT OF RECESSION ON GLOBAL CLOUD FINOPS MARKET 47
2.6 LIMITATIONS 48
3 EXECUTIVE SUMMARY 49
4 PREMIUM INSIGHTS 53
4.1 ATTRACTIVE GROWTH OPPORTUNITIES FOR PLAYERS IN CLOUD FINOPS MARKET 53
4.2 CLOUD FINOPS MARKET, BY OFFERING, 2024 VS. 2029 53
4.3 CLOUD FINOPS MARKET, BY SOLUTION, 2024 VS. 2029 54
4.4 CLOUD FINOPS MARKET, BY SERVICE, 2024 VS. 2029 54
4.5 CLOUD FINOPS MARKET, BY APPLICATION, 2024 VS. 2029 55
4.6 CLOUD FINOPS MARKET, BY SERVICE MODEL, 2024 VS. 2029 55
4.7 CLOUD FINOPS MARKET, BY DEPLOYMENT MODEL, 2024 VS. 2029 56
4.8 CLOUD FINOPS MARKET, BY ORGANIZATION SIZE, 2024 VS. 2029 56
4.9 CLOUD FINOPS MARKET, BY VERTICAL, 2024 VS. 2029 57
4.10 CLOUD FINOPS MARKET, BY REGION, 2024 VS. 2029 57
 
5 MARKET OVERVIEW AND INDUSTRY TRENDS 58
5.1 INTRODUCTION 58
5.2 MARKET DYNAMICS 59
5.2.1 DRIVERS 59
5.2.1.1 Abundance of Cloud FinOps jobs availability 59
5.2.1.2 Cloud FinOps enhances data visibility for accountability and optimization 60
5.2.1.3 Integrating Cloud FinOps team into existing organizational structure 60
5.2.1.4 Cloud FinOps culture significantly improves investment value realization 61
5.2.2 RESTRAINTS 61
5.2.2.1 Unnecessary cloud expenses (cloud waste) 61
5.2.2.2 Resistance to switch to Cloud FinOps solutions 61
5.2.3 OPPORTUNITIES 62
5.2.3.1 Leveraging automation tools to streamline FinOps implementation 62
5.2.3.2 Growing awareness of cloud cost governance creates opportunities for Cloud FinOps growth to scale 62
5.2.3.3 Opportunity to maximize Cloud ROI using Cloud FinOps strategies 62
5.2.4 CHALLENGES 63
5.2.4.1 Effective management of relationships and negotiations with
several cloud service providers 63
5.2.4.2 Implementation of suggested changes hinders evolving Cloud
FinOps space 63
5.3 CASE STUDY ANALYSIS 64
5.3.1 HCLTECH OPTIMIZES CLOUD SPEND FOR LEADING SUSTAINABLE MANUFACTURER 64
5.3.2 OPENTEXT OPTIMIZES CLOUD SPEND WITH HCMX FINOPS EXPRESS 65
5.3.3 ARKANSAS DEPARTMENT OF FINANCE AND ADMINISTRATION ENHANCES IT SECURITY AND COMPLIANCE WITH MANAGEENGINE ADAUDIT PLUS 65
5.3.4 ZORGSPECTRUM OPTIMIZES CLOUD SPENDING AND EFFICIENCY WITH SOFTWAREONE'S FINOPS 66
5.3.5 CORESTACK HELPS LOGICALIS TRANSFORM FINOPS INTO NEW BUSINESS OPPORTUNITIES 67
5.3.6 AWS OFFERED ENHANCED ACCOUNTABILITY AND GOVERNANCE ACROSS MEDIBANK’S BUSINESS UNITS 68
5.3.7 ABM AMRO REFINED COST OPTIMIZATION EFFORTS WITH MICROSOFT AZURE 69
5.3.8 ADOPTION OF APPTIO HELPED TUI GROUP ACHIEVE INFORMED CLOUD INVESTMENT DECISION-MAKING AND BETTER BUDGET TRACKING 70
5.3.9 NETAPP HELPED TECRACER NAVIGATE ECONOMIC UNCERTAINTIES 70
5.3.10 CLOUDBOLT ENABLED HAMBURG SÜD IMPROVE OPERATIONAL EFFICIENCY AND REDUCE COSTS 71
5.4 ECOSYSTEM 72
5.5 SUPPLY CHAIN ANALYSIS 74
5.5.1 CLOUD SERVICE PROVIDERS 74
5.5.2 CLOUD FINOPS PLATFORMS AND TOOLS 74
5.5.3 MANAGED SERVICE PROVIDERS AND CONSULTING FIRMS 75
5.5.4 ENTERPRISE IT AND FINANCE DEPARTMENTS 75
5.5.5 SOFTWARE AND SOLUTION INTEGRATORS 75
5.5.6 REGULATORY AND COMPLIANCE BODIES 75
5.6 TECHNOLOGY ANALYSIS 76
5.6.1 KEY TECHNOLOGIES 76
5.6.1.1 Resource tagging 76
5.6.1.2 Automated resource provisioning 77
5.6.1.3 Instance reservation systems 77
5.6.2 COMPLEMENTARY TECHNOLOGIES 77
5.6.2.1 Auto scaling 77
5.6.2.2 Instance rightsizing 77
5.6.2.3 Containerization 78
5.6.2.4 DevOps 78
5.6.3 ADJACENT TECHNOLOGIES 78
5.6.3.1 Serverless computing 78
5.6.3.2 Predictive analytics 78
5.6.3.3 Automation 79
5.7 PRICING ANALYSIS 79
5.7.1 INDICATIVE PRICING ANALYSIS 79
5.7.2 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY SOLUTION 80
5.7.3 AVERAGE SELLING PRICE TREND 81
5.8 CLOUD FINOPS MARKET: BUSINESS MODELS 82
5.8.1 CONSULTING SERVICES 82
5.8.2 SOFTWARE TOOLS 82
5.8.3 TRAINING & EDUCATION 82
5.8.4 MANAGED SERVICES 82
5.8.5 COST OPTIMIZATION STRATEGIES 82
5.8.6 PARTNERSHIPS & INTEGRATIONS 82
5.8.7 SUBSCRIPTION-BASED PRICING 82
5.9 PATENT ANALYSIS 83
5.10 PORTER'S FIVE FORCES ANALYSIS 85
5.10.1 THREAT OF NEW ENTRANTS 86
5.10.2 THREAT OF SUBSTITUTES 86
5.10.3 BARGAINING POWER OF BUYERS 86
5.10.4 BARGAINING POWER OF SUPPLIERS 86
5.10.5 INTENSITY OF COMPETITIVE RIVALRY 86
5.11 REGULATORY LANDSCAPE 87
5.11.1 GENERAL DATA PROTECTION REGULATION (GDPR) 87
5.11.2 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT (HIPAA) 87
5.11.3 SYSTEM AND ORGANIZATION CONTROLS 2 (SOC 2) 87
5.11.4 PAYMENT CARD INDUSTRY DATA SECURITY STANDARD (PCI DSS) 87
5.11.5 CALIFORNIA CONSUMER PRIVACY ACT (CCPA) 87
5.11.6 INTERNATIONAL STANDARDS ORGANIZATION (ISO) 88
5.11.7 REGULATORY LANDSCAPE 88
5.12 CLOUD FINOPS MARKET: KEY CONFERENCES AND EVENTS, 2024–2025 92
5.13 TRENDS AND DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES 93
5.14 KEY STAKEHOLDERS AND BUYING CRITERIA 94
5.14.1 KEY STAKEHOLDERS IN BUYING PROCESS 94
5.14.2 BUYING CRITERIA 95
5.15 INVESTMENT LANDSCAPE 96
6 CLOUD FINOPS MARKET, BY OFFERING 97
6.1 INTRODUCTION 98
6.1.1 OFFERING: CLOUD FINOPS MARKET DRIVERS 98
6.2 SOLUTIONS 99
6.2.1 SURGING NEED FOR OPTIMIZING CLOUD EXPENSES WITHOUT COMPROMISING COMPATIBILITY WITH CURRENT SYSTEMS AND WORKFLOWS TO DRIVE MARKET 99
6.2.2 NATIVE SOLUTIONS 101
6.2.2.1 Advantages of native solutions 101
6.2.3 THIRD-PARTY SOLUTIONS 102
6.2.3.1 Advantages of third-party solutions 102
6.3 SERVICES 103
6.3.1 MANAGED AND PROFESSIONAL SERVICES TO ENABLE ENTERPRISES MAXIMIZE VALUE OF CLOUD INVESTMENTS AND DRIVE FINANCIAL ACCOUNTABILITY 103
6.3.2 MANAGED SERVICES 105
6.3.3 PROFESSIONAL SERVICES 106
7 CLOUD FINOPS MARKET, BY ORGANIZATION SIZE 108
7.1 INTRODUCTION 109
7.1.1 ORGANIZATION SIZE: CLOUD FINOPS MARKET DRIVERS 109
7.2 LARGE ENTERPRISES 110
7.2.1 RISING NEED FOR EFFECTIVE CLOUD USAGE MANAGEMENT AND EFFICIENT COST ALLOCATION TO DRIVE MARKET 110
7.3 SMES 111
7.3.1 FINOPS TOOLS TO HELP INCREASE FINANCIAL TRANSPARENCY AND IMPROVE EFFICIENCY 111
8 CLOUD FINOPS MARKET, BY DEPLOYMENT MODEL 113
8.1 INTRODUCTION 114
8.1.1 DEPLOYMENT MODEL: CLOUD FINOPS MARKET DRIVERS 114
8.2 PUBLIC CLOUD 115
8.2.1 RAPID INNOVATION AND ACCESS TO LATEST TECHNOLOGIES TO
BOOST MARKET 115
8.3 PRIVATE CLOUD 116
8.3.1 DETAILED COST MANAGEMENT AND CUSTOMIZED COST OPTIMIZATION STRATEGIES TO FOSTER MARKET GROWTH 116
8.4 HYBRID CLOUD 117
8.4.1 ENHANCED AGILITY AND COST-EFFECTIVENESS TO PROPEL MARKET GROWTH 117
9 CLOUD FINOPS MARKET, BY VERTICAL 119
9.1 INTRODUCTION 120
9.1.1 VERTICAL: CLOUD FINOPS MARKET DRIVERS 120
9.2 IT & ITES 122
9.2.1 CLOUD FINOPS SOLUTIONS TO HELP HANDLE COMPLEXITIES OF MANAGING CLOUD FINANCES AND PROMOTE CONTINUED INNOVATION 122
9.2.2 IT & ITES: USE CASES 123
9.2.2.1 Effective cost allocation 123
9.2.2.2 Development environment optimization 123
9.2.2.3 Other IT & ITeS use cases 124
9.3 BFSI 124
9.3.1 CLOUD FINOPS SOLUTIONS TO ENSURE FINANCIAL COMPLIANCE AND
COST-EFFICIENCY WHILE MANAGING COMPLEX CLOUD ENVIRONMENTS 124
9.3.2 BFSI: USE CASES 125
9.3.2.1 Automated budget alerts 125
9.3.2.2 Granular cost reporting 125
9.3.2.3 Regulatory compliance 125
9.3.2.4 Other BFSI use cases 125
9.4 RETAIL & CONSUMER GOODS 126
9.4.1 INCREASING NEED FOR OPTIMIZATION OF OPERATIONS AND IMPROVEMENT OF CUSTOMER EXPERIENCES TO DRIVE MARKET 126
9.4.2 RETAIL & CONSUMER GOODS: USE CASES 127
9.4.2.1 Seasonal scalability 127
9.4.2.2 Cost analysis of promotional campaigns 127
9.4.2.3 Personalized shopping experiences 127
9.4.2.4 Other retail & consumer goods use cases 127
9.5 HEALTHCARE & LIFE SCIENCES 127
9.5.1 CRUCIAL ROLE IN HANDLING FINANCIAL CHALLENGES OF CLOUD-BASED FUNCTIONS TO FOSTER MARKET GROWTH 127
9.5.2 HEALTHCARE: USE CASES 128
9.5.2.1 Cost-efficient data archiving 128
9.5.2.2 Telehealth service optimization 128
9.5.2.3 Genomic data processing 129
9.5.2.4 Other healthcare & life sciences use cases 129
9.6 MEDIA & ENTERTAINMENT 129
9.6.1 FOCUS ON HANDLING CHANGING NEEDS OF PRODUCING, DELIVERING, AND CONSUMING CONTENT TO DRIVE MARKET 129
9.6.2 MEDIA & ENTERTAINMENT: USE CASES 130
9.6.2.1 Streaming optimization 130
9.6.2.2 Content production cost management 130
9.6.2.3 Global content delivery 130
9.6.2.4 Other media & entertainment use cases 130
9.7 MANUFACTURING 131
9.7.1 STREAMLINING OF OPERATIONS BY OPTIMIZING CLOUD COSTS TO
BOLSTER MARKET GROWTH 131
9.7.2 MANUFACTURING: USE CASES 132
9.7.2.1 IoT data cost management 132
9.7.2.2 Supply chain analytics 132
9.7.2.3 Predictive maintenance 132
9.7.2.4 Other manufacturing use cases 132
9.8 TELECOMMUNICATIONS 132
9.8.1 VITAL ROLE OF CLOUD FINOPS IN TACKLING SPECIFIC OBSTACLES OF TELECOMMUNICATIONS SECTOR TO DRIVE MARKET 132
9.8.2 TELECOMMUNICATIONS: USE CASES 133
9.8.2.1 Cost management for 5G networks 133
9.8.2.2 Customer service automation 133
9.8.2.3 Network data analytics 134
9.8.2.4 Other telecommunications use cases 134
9.9 GOVERNMENT & PUBLIC SECTOR 134
9.9.1 INCREASING DEMAND FOR ENHANCING FINANCIAL MANAGEMENT AND OPERATIONAL EFFICIENCY IN PUBLIC SECTOR CLOUD ENVIRONMENTS
TO BOOST MARKET 134
9.9.2 GOVERNMENT & PUBLIC SECTOR: USE CASES 135
9.9.2.1 Public service application optimization 135
9.9.2.2 Disaster recovery planning 135
9.9.2.3 Transparency initiatives 135
9.9.2.4 Other government & public sector use cases 135
9.10 OTHER VERTICALS 136
10 CLOUD FINOPS MARKET, BY APPLICATION 137
10.1 INTRODUCTION 138
10.1.1 APPLICATION: CLOUD FINOPS MARKET DRIVERS 138
10.2 COST MANAGEMENT & OPTIMIZATION 140
10.2.1 COST MANAGEMENT & OPTIMIZATION TOOLS TO ENSURE EFFECTIVE DISTRIBUTION OF RESOURCES AND EXPENDITURE REDUCTION 140
10.2.2 COST ANALYSIS 141
10.2.3 RIGHTSIZING 141
10.2.4 RESERVED INSTANCE MANAGEMENT 141
10.2.5 SPOT INSTANCE UTILIZATION 141
10.2.6 RATE NEGOTIATION 141
 
10.3 BUDGETING & FORECASTING 142
10.3.1 BUDGETING AND FORECASTING TOOLS TO HELP ORGANIZATIONS EFFICIENTLY STRATEGIZE, ESTIMATE, AND OVERSEE FINANCES 142
10.3.2 BUDGET PLANNING & ALLOCATION 143
10.3.3 COST FORECASTING 143
10.3.4 SCENARIO ANALYSIS 143
10.3.5 VARIANCE ANALYSIS 143
10.3.6 BUDGET TRACKING 143
10.4 COST ALLOCATION & CHARGEBACK 144
10.4.1 COST ALLOCATION AND CHARGEBACK TOOLS TO ENSURE TRANSPARENT AND ACCURATE COST ALLOCATION 144
10.4.2 RESOURCE TAGGING 145
10.4.3 COST ALLOCATION 145
10.4.4 CHARGEBACK MECHANISMS 145
10.4.5 SHARED COST MANAGEMENT 145
10.4.6 INVOICE GENERATION 145
10.5 REPORTING & ANALYTICS 146
10.5.1 REPORTING AND ANALYTICS APPLICATIONS TO HELP MAKE INFORMED DECISIONS AND OPTIMIZE PERFORMANCE 146
10.5.2 COST REPORTING 147
10.5.3 USAGE ANALYTICS 147
10.5.4 PERFORMANCE MONITORING 147
10.5.5 TREND ANALYSIS 147
10.5.6 DASHBOARD CREATION 147
10.6 WORKLOAD MANAGEMENT & OPTIMIZATION 148
10.6.1 SURGING NEED FOR DYNAMIC RESOURCE ALLOCATION AND OPTIMAL UTILIZATION TO DRIVE MARKET 148
10.6.2 RESOURCE PROVISIONING 149
10.6.3 PERFORMANCE OPTIMIZATION 149
10.6.4 AUTO-SCALING STRATEGIES 149
10.6.5 WORKLOAD SCHEDULING 149
10.6.6 CAPACITY PLANNING 149
10.7 OTHER APPLICATIONS 150
11 CLOUD FINOPS MARKET, BY SERVICE MODEL 151
11.1 INTRODUCTION 152
11.1.1 SERVICE MODEL: CLOUD FINOPS MARKET DRIVERS 152
11.2 INFRASTRUCTURE AS A SERVICE (IAAS) 153
11.2.1 SPIKE IN DEMAND FOR ENSURING OPTIMAL PERFORMANCE WITHOUT OVERSPENDING TO BOOST MARKET 153
11.3 PLATFORM AS A SERVICE (PAAS) 154
11.3.1 CLOUD FINOPS TOOLS TO HELP ACCELERATE APPLICATION DEPLOYMENT AND RESOURCE EFFICIENCY 154
11.4 SOFTWARE AS A SERVICE (SAAS) 155
11.4.1 INCREASING NEED FOR EFFECTIVE MONITORING OF CLOUD COSTS
TO DRIVE MARKET 155
12 FINOPS MARKET, BY REGION 157
12.1 INTRODUCTION 158
12.2 NORTH AMERICA 159
12.2.1 NORTH AMERICA: CLOUD FINOPS MARKET DRIVERS 160
12.2.2 NORTH AMERICA: RECESSION IMPACT 160
12.2.3 US 166
12.2.3.1 Surging demand for comprehensive solutions to monitor and manage cloud costs with growing adoption of cloud technologies 166
12.2.4 CANADA 167
12.2.4.1 Rise of self-governing platforms for optimizing cloud expenses to drive market 167
12.3 EUROPE 169
12.3.1 EUROPE: CLOUD FINOPS MARKET DRIVERS 169
12.3.2 EUROPE: RECESSION IMPACT 169
12.3.3 UK 175
12.3.3.1 Need for optimization of cloud spending and improvement of financial accountability to foster market growth 175
12.3.4 GERMANY 177
12.3.4.1 Increasing need for scalability, flexibility, and cost-effectiveness in managing IT operations to propel market growth 177
12.3.5 FRANCE 178
12.3.5.1 Growing complexity of cloud environments to boost market 178
12.3.6 ITALY 179
12.3.6.1 Government initiatives and programs, such as rewards and assistance programs, to bolster market growth 179
12.3.7 REST OF EUROPE 181
12.4 ASIA PACIFIC 182
12.4.1 ASIA PACIFIC: CLOUD FINOPS MARKET DRIVERS 182
12.4.2 ASIA PACIFIC: RECESSION IMPACT 183
12.4.3 CHINA 189
12.4.3.1 Increasing digitalization of Chinese companies and adoption of
cloud technologies to fuel market growth 189
12.4.4 JAPAN 191
12.4.4.1 Government initiatives for promotion of digital transformation and cloud adoption to boost market 191
12.4.5 AUSTRALIA & NEW ZEALAND 192
12.4.5.1 Growing utilization of cloud technologies in various industries to expand market 192
12.4.6 INDIA 193
12.4.6.1 Rising demand for efficient cloud expenditure management to bolster market growth 193
12.4.7 REST OF ASIA PACIFIC 195
12.5 MIDDLE EAST & AFRICA 196
12.5.1 MIDDLE EAST & AFRICA: CLOUD FINOPS MARKET DRIVERS 197
12.5.2 MIDDLE EAST & AFRICA: RECESSION IMPACT 197
12.5.3 GCC COUNTRIES 203
12.5.3.1 Saudi Arabia 203
12.5.3.1.1 Government's focus on digital transformation and innovation to drive market 203
12.5.3.2 UAE 204
12.5.3.2.1 Keen emphasis on innovation and technology adoption to foster market growth 204
12.5.3.3 Rest of GCC countries 204
12.5.4 SOUTH AFRICA 206
12.5.4.1 Digital transformation and modernization of IT infrastructure
to drive market 206
12.5.5 REST OF MIDDLE EAST & AFRICA 207
12.6 LATIN AMERICA 209
12.6.1 LATIN AMERICA: CLOUD FINOPS MARKET DRIVERS 209
12.6.2 LATIN AMERICA: RECESSION IMPACT 209
12.6.3 BRAZIL 215
12.6.3.1 Increasing adoption of cloud-based solutions and growing digital transformation to boost market 215
12.6.4 MEXICO 216
12.6.4.1 Burgeoning demand for effective cloud financial management solutions to accelerate market growth 216
12.6.5 REST OF LATIN AMERICA 217
13 COMPETITIVE LANDSCAPE 219
13.1 INTRODUCTION 219
13.2 KEY PLAYER STRATEGIES/RIGHT TO WIN 219
13.3 MARKET SHARE ANALYSIS 221
13.4 CLOUD FINOPS MARKET: VENDOR PRODUCTS/BRANDS COMPARISON 223
13.5 REVENUE ANALYSIS 224
13.6 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023 225
13.6.1 STARS 226
13.6.2 EMERGING LEADERS 226
13.6.3 PERVASIVE PLAYERS 226
13.6.4 PARTICIPANTS 227
13.6.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023 228
13.7 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023 230
13.7.1 PROGRESSIVE COMPANIES 230
13.7.2 RESPONSIVE COMPANIES 230
13.7.3 DYNAMIC COMPANIES 231
13.7.4 STARTING BLOCKS 231
13.7.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023 232
13.7.5.1 Detailed list of key startups/SMEs 232
13.7.5.2 Competitive benchmarking of key startups/SMEs 233
13.8 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS 234
13.9 COMPETITIVE SCENARIO AND TRENDS 235
13.9.1 PRODUCT LAUNCHES 235
13.9.2 DEALS 244
14 COMPANY PROFILES 253
14.1 INTRODUCTION 253
14.2 KEY PLAYERS 253
14.2.1 AMAZON WEB SERVICES 253
14.2.1.1 Business overview 253
14.2.1.2 Products/Solutions/Services offered 254
14.2.1.3 Recent developments 255
14.2.1.4 MnM view 262
14.2.1.4.1 Key strengths 262
14.2.1.4.2 Strategic choices made 263
14.2.1.4.3 Weaknesses & competitive threats 263
14.2.2 MICROSOFT 264
14.2.2.1 Business overview 264
14.2.2.2 Products/Solutions/Services offered 265
14.2.2.3 Recent developments 266
14.2.2.4 MnM view 268
14.2.2.4.1 Key strengths 268
14.2.2.4.2 Strategic choices made 268
14.2.2.4.3 Weaknesses & competitive threats 268
14.2.3 GOOGLE 269
14.2.3.1 Business overview 269
14.2.3.2 Products/Solutions/Services offered 270
14.2.3.3 Recent developments 271
14.2.3.4 MnM view 273
14.2.3.4.1 Key strengths 273
14.2.3.4.2 Strategic choices made 273
14.2.3.4.3 Weaknesses & competitive threats 273
14.2.4 ORACLE 274
14.2.4.1 Business overview 274
14.2.4.2 Products/Solutions/Services offered 275
14.2.4.3 Recent developments 276
14.2.4.4 MnM view 277
14.2.4.4.1 Key strengths 277
14.2.4.4.2 Strategic choices made 277
14.2.4.4.3 Weaknesses & competitive threats 277
14.2.5 IBM 278
14.2.5.1 Business overview 278
14.2.5.2 Products/Solutions/Services offered 279
14.2.5.3 Recent developments 280
14.2.5.4 MnM view 281
14.2.5.4.1 Key strengths 281
14.2.5.4.2 Strategic choices made 281
14.2.5.4.3 Weaknesses & competitive threats 281
14.2.6 HITACHI 282
14.2.6.1 Business overview 282
14.2.6.2 Products/Solutions/Services offered 282
14.2.6.3 Recent developments 283
14.2.7 VMWARE 284
14.2.7.1 Business overview 284
14.2.7.2 Products/solutions/services offered 284
14.2.7.3 Recent developments 285
14.2.8 SERVICENOW 287
14.2.8.1 Business overview 287
14.2.8.2 Products/Solutions/Services offered 288
14.2.8.3 Recent developments 289
14.2.9 DATADOG 291
14.2.9.1 Business overview 291
14.2.9.2 Products/Solutions/Services offered 292
14.2.9.3 Recent developments 292
14.2.10 FLEXERA 294
14.2.10.1 Business overview 294
14.2.10.2 Products/Solutions/Services offered 294
14.2.10.3 Recent developments 295
14.2.11 LUMEN TECHNOLOGIES 297
14.2.11.1 Business overview 297
14.2.11.2 Products/Solutions/Services offered 298
14.2.12 DOIT 299
14.2.12.1 Business overview 299
14.2.12.2 Products/Solutions/Services 300
14.2.12.3 Recent developments 301
14.3 OTHER PLAYERS 303
14.3.1 NUTANIX 303
14.3.2 AMDOCS 304
14.3.3 BMC SOFTWARE 304
14.3.4 HCL 305
14.3.5 VIRTASANT 305
14.3.6 OPENTEXT 306
14.3.7 ACCENTURE 307
14.3.8 MANAGEENGINE 307
14.3.9 SOFTWAREONE 308
14.3.10 CORESTACK 309
14.3.11 VIRTANA 310
14.3.12 CAST AI 310
14.3.13 ANODOT 311
14.3.14 HARNESS 311
14.3.15 CLOUDZERO 312
14.3.16 PEPPERDATA 312
14.3.17 SPOT 313
14.3.18 UNRAVEL DATA 314
14.3.19 CENTILYTICS 314
14.3.20 KUBECOST 315
14.3.21 FINOUT 315
14.3.22 HYPERGLANCE 316
14.3.23 DELOITTE 316
14.3.24 ALIBABA CLOUD 317
14.3.25 ZESTY 318
14.3.26 318
14.3.27 NOPS 319
14.3.28 CLOUDAVOCADO 320
14.3.29 HASHICORP 321
15 ADJACENT AND RELATED MARKETS 322
15.1 INTRODUCTION 322
15.1.1 RELATED MARKETS 322
15.2 CLOUD PERFORMANCE MANAGEMENT MARKET 322
15.3 INTEGRATED CLOUD MANAGEMENT PLATFORM MARKET 324
16 APPENDIX 328
16.1 DISCUSSION GUIDE 328
16.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 334
16.3 CUSTOMIZATION OPTIONS 336
16.4 RELATED REPORTS 336
16.5 AUTHOR DETAILS 337