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