시장보고서
상품코드
1660549

클라우드 FinOps 시장 : 규모, 점유율, 제공별, 용도별, 서비스 모델별, 배포 모델별 세계 산업 예측(-2029년)

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

발행일: | 리서치사: MarketsandMarkets | 페이지 정보: 영문 338 Pages | 배송안내 : 즉시배송

    
    
    




※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

세계 클라우드 FinOps 시장 규모는 2024년 135억 달러를 기록했습니다. 2029년 233억 달러로 성장하며, 예측 기간 동안 CAGR은 11.4%를 나타낼 것으로 예측됩니다.

리소스 태그 지정, 리소스 자동 프로비저닝, 인스턴스 예약 시스템과 같은 특정 기술은 비용 관리 및 운영을 개선하여 클라우드 FinOps 솔루션을 개선하는 데 중요합니다. 리소스 태그는 클라우드 리소스를 부서별, 프로젝트별, 환경별로 분류하고 이름을 지정할 수 있습니다. 이를 통해 어떤 부서와 프로세스가 리소스를 활용하고 사용과 관련된 비용이 발생했는지 적절하게 청구하고 식별할 수 있습니다. 이러한 시각화는 재무 팀이 지출을 관리하고 사용 상황에 따라 엄격한 예산 조치를 시행하는 데 도움이 됩니다.

조사 범위
조사 대상 연도 2019-2029년
기준 연도 2023년
예측 기간 2024-2029년
검토 단위 달러(10억 달러)
부문 제공별, 용도별, 조직 규모별, 서비스 모델별, 배포 모델별, 업계별
대상 지역 북미, 유럽, 아시아태평양, 중동 및 아프리카, 라틴아메리카

리소스 프로비저닝 자동화는 특정 정책 및 트래픽 동향에 따라 클라우드 환경의 리소스를 자체 프로비저닝하는 프로세스입니다. 이렇게 하면 운영의 이동성이 향상될 뿐만 아니라 필요한 위치에만 리소스가 할당되므로 잉여 용량과 비용을 최소화할 수 있습니다.

셋째, 인스턴스 예약 시스템을 통해 기업은 특정 클라우드 인스턴스와 리소스를 일정 기간 미리 구매할 수 있습니다. 이 접근법은 정상 상태 워크로드 비용 및 예약 용량 사용에 대한 예산 예측에 도움이 됩니다. 이러한 모든 기술은 효과적인 클라우드 FinOps의 기본 기둥이 되어 기업이 클라우드 배포 전반에 걸쳐 비용 최적화, 리소스 할당 및 재무 가시성을 향상시키는 데 도움이 됩니다. 이러한 도구를 통해 기업은 유연하고 관리 가능한 속도로 조직 목표, 작업 생산성 및 비용 억제 측면에서 클라우드 지출을 최적화할 수 있습니다.

클라우드 FinOps 시장은 서비스별로 전문 서비스와 관리 서비스로 구분됩니다. 관리 서비스 분야는 클라우드 FinOps 시장 예측 기간 동안 가장 높은 CAGR로 성장할 것으로 예측됩니다. 매니지드 서비스는 클라우드 지출을 개선하고 재무 의사결정을 강화하려는 기업에 완벽한 솔루션을 제공합니다. 이러한 서비스는 FinOps 프레임워크를 활용하여 엔지니어링, 재무, 비즈니스 부서 간의 팀워크를 촉진하고 클라우드 투자의 비즈니스 이익을 최적화합니다. Managed FinOps 서비스는 비용 절감, 재무 운영 간소화, 재무 정보에 대한 즉각적인 액세스 기회를 찾아 기업을 지원합니다. 관리 서비스 제공업체와 협력함으로써 기업은 전문가의 조언, 지속적인 지원, 맞춤형 솔루션을 통해 클라우드 재무를 감독하고 비즈니스 성과 향상을 효율적으로 달성할 수 있습니다.

조직 규모별로 볼 때 클라우드 FinOps 시장은 대기업과 중소기업으로 나뉩니다. 예측 기간 동안 대기업 부문이 가장 큰 시장 점유율을 차지할 것으로 예측됩니다. 대기업은 방대한 멀티 클라우드 설정을 강화하기 위해 정교한 비용 관리 전술을 사용합니다. 이러한 기업들은 엄청난 양의 클라우드 비용을 감독하고, 재무 책임을 확보하고, 클라우드 비용을 비즈니스 목표와 일치시키는 등의 어려운 장애물을 만나고 있습니다. 대기업은 고급 FinOps 도구와 기술을 사용하여 클라우드 사용을 관리하고 비용을 효율적으로 배포하며 상세한 통찰을 통해 리소스 활용을 최적화합니다. 대기업은 재무, 엔지니어링 및 운영 팀 간의 협업을 촉진하여 의사 결정 프로세스를 개선하고 비용을 관리하며 클라우드 투자에서 얻은 비즈니스 가치를 높일 수 있습니다.

본 보고서에서는 세계의 클라우드 FinOps 시장에 대해 조사했으며, 제공별, 조직 규모별, 전개 모델별, 업계별, 용도별, 서비스 모델별, 지역별 동향 및 시장 진출기업 프로파일 등을 정리했습니다.

목차

제1장 서론

제2장 조사 방법

제3장 주요 요약

제4장 중요 인사이트

제5장 시장 개요와 업계 동향

  • 소개
  • 시장 역학
  • 사례 연구 분석
  • 에코시스템
  • 공급망 분석
  • 기술 분석
  • 가격 분석
  • 클라우드 FinOps 시장 : 비즈니스 모델
  • 특허 분석
  • Porter's Five Forces 분석
  • 규제 상황
  • 클라우드 FinOps 시장 : 2024-2025년의 주요 컨퍼런스와 이벤트
  • 고객의 비즈니스에 영향을 미치는 동향과 혼란
  • 주요 이해관계자와 구매 기준
  • 투자 상황

제6장 클라우드 FinOps 시장(제공별)

  • 소개
  • 솔루션
  • 서비스

제7장 클라우드 FinOps 시장(조직 규모별)

  • 소개
  • 대기업
  • 중소기업

제8장 클라우드 FinOps 시장(배포 모델별)

  • 소개
  • 퍼블릭 클라우드
  • 프라이빗 클라우드
  • 하이브리드 클라우드

제9장 클라우드 FinOps 시장(업계별)

  • 소개
  • IT·ITES
  • BFSI
  • 소매 및 소비재
  • 헬스케어·생명과학
  • 미디어·엔터테인먼트
  • 제조
  • 통신
  • 정부·공공 부문
  • 기타

제10장 클라우드 FinOps 시장(용도별)

  • 소개
  • 비용 관리 및 최적화
  • 예산 편성과 예측
  • 비용 배분과 지불 거절
  • 보고서 및 분석
  • 워크로드 관리 및 최적화
  • 기타

제11장 클라우드 FinOps 시장(서비스 모델별)

  • 소개
  • INFRASTRUCTURE AS A SERVICE(IAAS)
  • PLATFORM AS A SERVICE(PAAS)
  • SOFTWARE AS A SERVICE(SAAS)

제12장 클라우드 inOps 시장(지역별)

  • 소개
  • 북미
    • 북미 : 클라우드 FinOps 시장 성장 촉진요인
    • 북미 : 경기 후퇴의 영향
    • 미국
    • 캐나다
  • 유럽
    • 유럽 : 클라우드 FinOps 시장 성장 촉진요인
    • 유럽 :경기 후퇴의 영향
    • 영국
    • 독일
    • 프랑스
    • 이탈리아
    • 기타
  • 아시아태평양
    • 아시아태평양 : 클라우드 FinOps 시장 성장 촉진요인
    • 아시아태평양 : 경기 후퇴의 영향
    • 중국
    • 일본
    • 호주 및 뉴질랜드
    • 인도
    • 기타
  • 중동 및 아프리카
    • 중동 및 아프리카 : 클라우드 FinOps 시장 성장 촉진요인
    • 중동?아프리카 : 경기 후퇴의 영향
    • GCC 국가
    • 남아프리카
    • 기타
  • 라틴아메리카
    • 라틴아메리카 : 클라우드 FinOps 시장 성장 촉진요인
    • 라틴아메리카 : 경기 후퇴의 영향
    • 브라질
    • 멕시코
    • 기타

제13장 경쟁 구도

  • 소개
  • 주요 진입기업의 전략/강점
  • 시장 점유율 분석
  • 클라우드 FinOps 시장 : 벤더 제품/브랜드 비교
  • 수익 분석
  • 기업평가 매트릭스 : 주요 진입기업(2023년)
  • 기업평가 매트릭스 : 스타트업/중소기업(2023년)
  • 주요 벤더의 기업 평가 및 재무 지표
  • 경쟁 시나리오와 동향

제14장 기업 프로파일

  • 소개
  • 주요 진출기업
    • AMAZON WEB SERVICES
    • MICROSOFT
    • GOOGLE
    • ORACLE
    • IBM
    • HITACHI
    • VMWARE
    • SERVICENOW
    • DATADOG
    • FLEXERA
    • LUMEN TECHNOLOGIES
    • DOIT
  • 기타 기업
    • NUTANIX
    • AMDOCS
    • BMC SOFTWARE
    • HCL
    • VIRTASANT
    • OPENTEXT
    • ACCENTURE
    • MANAGEENGINE
    • SOFTWAREONE
    • CORESTACK
    • VIRTANA
    • CAST AI
    • ANODOT
    • HARNESS
    • CLOUDZERO
    • PEPPERDATA
    • SPOT
    • UNRAVEL DATA
    • CENTILYTICS
    • KUBECOST
    • FINOUT
    • HYPERGLANCE
    • DELOITTE
    • ALIBABA CLOUD
    • ZESTY
    • NOPS
    • CLOUDAVOCADO
    • HASHICORP

제15장 인접 시장과 관련 시장

제16장 부록

KTH 25.03.10

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.

Scope of the Report
Years Considered for the Study2019-2029
Base Year2023
Forecast Period2024-2029
Units ConsideredUSD (Billion)
SegmentsOffering, Application, Organization Size, Service Model, Deployment Model, and Vertical
Regions coveredNorth America, Europe, Asia Pacific, Middle East Africa, and Latin America

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).

TABLE OF CONTENTS

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 SUD 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
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