Healthcare Data Monetization Market by Type (Direct, Indirect), Deployment (On-premise, Cloud), End User (Pharmaceutical & Biotechnology Companies, Healthcare Payers, Healthcare Providers, Medical Technology Companies) & Region- Global Forecast to 2030
세계의 헬스케어 데이터 수익화 시장 규모는 예측 기간 동안 14.9%의 CAGR로 확대되어 2025년 5억 8,000만 달러에서 2030년에는 11억 6,000만 달러에 달할 것으로 예측됩니다.
이 시장의 성장은 주로 의료 영상 데이터의 증가, 전사적 상호운용성 전환, 영상 처리 워크플로우를 간소화하는 중앙집중식 벤더 중립적 플랫폼에 대한 수요 증가에 기인합니다. 또한, 규제 당국의 헬스케어 디지털화 계획과 의료 정보 교환에 대한 지원은 시장 확대를 더욱 촉진하고 있습니다. 그러나 높은 도입 비용과 데이터 마이그레이션의 어려움은 특히 중소규모의 의료 서비스 제공업체들이 첨단 벤더 중립적 아카이브(VNA) 및 PACS(Picture Archiving and Communication System) 솔루션을 도입하는 데 걸림돌로 작용하고 있습니다.
| 조사 범위 |
| 조사 대상 연도 |
2024-2030년 |
| 기준 연도 |
2024년 |
| 예측 기간 |
2024-2030년 |
| 검토 단위 |
금액(10억 달러) |
| 부문 |
유형별, 데이터 유형별, 전개별, 최종사용자별, 지역별 |
| 대상 지역 |
북미, 유럽, 아시아태평양, 라틴아메리카, 중동 및 아프리카 |
유형별로 헬스케어 데이터 수익화 시장은 직접 데이터 수익화와 간접 데이터 수익화로 구분됩니다. 직접 데이터 수익화 부문은 소프트웨어와 서비스로 구분됩니다. 마찬가지로 간접 데이터 수익화 시장도 소프트웨어와 서비스로 분류됩니다. 이 중 간접 데이터 수익화 서비스 부문이 예측 기간 동안 가장 빠르게 성장할 것으로 예상됩니다. 이러한 성장의 원동력은 복잡한 건강 데이터에서 실용적인 인사이트를 추출하기 위한 전문 지식에 대한 수요 증가에 기인합니다. 고급 분석, 상호운용성, 실제 증거에 대한 관심이 높아지면서 서비스 제공업체들은 헬스케어 조직이 데이터를 직접 판매하지 않고도 수익화할 수 있도록 지원하고 있으며, Innovaccer, Komodo Health, IQVIA와 같은 업체들은 데이터 통합, 예측 모델링 데이터 통합, 예측 모델링, 전략적 협업을 가능하게 하는 플랫폼과 컨설팅 서비스를 제공하고 있습니다. 이러한 노력은 가치 기반 치료, 연구, 제품 혁신을 통해 수익을 창출하는 데 도움이 됩니다.
전개 모델별로는 온프레미스 전개 모델이 2024년 헬스케어 데이터 수익화 시장에서 가장 큰 점유율을 차지했는데, 이는 주로 데이터 보안, 관리, 컴플라이언스 측면에서 우위를 점하고 있기 때문으로 분석됩니다. 의료 기관은 매우 민감한 환자 정보를 다루고 있으며, HIPAA, GDPR, 국내 데이터 보호법 등 엄격한 규제 요건을 준수해야 합니다. 온프레미스 시스템은 이러한 기관이 데이터 인프라를 직접 관리할 수 있기 때문에 침해 및 무단 액세스로부터 더 잘 보호할 수 있습니다. 또한, 많은 대형 병원 및 의료 서비스 제공업체들은 레거시 시스템 및 IT 투자를 온프레미스 솔루션과 보다 효과적으로 연동하여 더 나은 통합, 커스터마이징 및 성능 최적화를 가능하게 하는 데 집중하고 있습니다. 이 전개 모델은 특히 데이터 거주 관련 법규가 엄격하거나 클라우드 인프라가 제한적인 지역에서 선호되고 있으며, 이는 큰 시장 점유율로 이어지고 있습니다.
아시아태평양은 예측 기간 동안 세계 헬스케어 데이터 수익화 시장에서 가장 높은 CAGR을 달성할 것으로 예상됩니다. 이러한 성장의 원동력은 강력한 디지털 헬스 이니셔티브와 클라우드 인프라의 확장에 기인합니다. 인도의 Ayushman Bharat Digital Mission이나 중국의 Health Information Platform과 같은 이니셔티브는 수익 창출에 적합한 대량의 의료 데이터를 생성합니다. 또한, 마이크로소프트의 말레이시아에 대한 22억 달러 투자, 후지쯔의 일본 클라우드 기반 플랫폼 등에서 볼 수 있듯이, 세계 기술 기업들은 지역 역량을 강화하고 있습니다. 이러한 발전은 효율적이고 컴플라이언스를 준수하며 가치 중심의 헬스케어 데이터 수익 창출을 위한 탄탄한 토대를 마련하고 있습니다.
세계의 헬스케어 데이터 수익화 시장에 대해 조사했으며, 유형별, 데이터 유형별, 전개 방식별, 최종사용자별, 지역별 동향, 시장 진입 기업 프로파일 등의 정보를 정리하여 전해드립니다.
목차
제1장 소개
제2장 조사 방법
제3장 주요 요약
제4장 주요 인사이트
제5장 시장 개요
- 소개
- 시장 역학
- 업계 동향
- 헬스케어 데이터 수익화 솔루션 종류
- 기술 분석
- 규제 상황
- 공급망 분석
- 생태계 분석
- 특허 분석
- 사례 연구 분석
- Porter's Five Forces 분석
- 주요 이해관계자와 구입 기준
- 2025년의 주요 회의와 이벤트
- 평균판매가격 : 데이터 수익화 시장
- 고객 비즈니스에 영향을 미치는 동향/혼란
제6장 2025년 미국 관세가 의료 데이터 수익화 시장에 미치는 영향
- 소개
- 주요 관세율
- 가격 영향 분석
- 국가/지역에 대한 영향
- 최종사용자에 대한 영향
제7장 헬스케어 데이터 수익화 시장(유형별)
- 소개
- 직접적인 데이터 수익화
- 간접적인 데이터 수익화
제8장 헬스케어 데이터 수익화 시장(데이터 유형별)
- 소개
- 임상 데이터
- 임상시험 데이터
- 청구 및 청구 데이터
- 소비자와 디지털 헬스 데이터
- 유전체 및 분자 데이터
- 기타 데이터 형태
제9장 헬스케어 데이터 수익화 시장(전개별)
제10장 헬스케어 데이터 수익화 시장(최종사용자별)
- 소개
- 제약·바이오테크놀러지 기업
- 의료 지불자
- 의료 제공자
- 의료 기술 기업
- 기타
제11장 헬스케어 데이터 수익화 시장(지역별)
- 소개
- 북미
- 유럽
- 유럽의 거시경제 전망
- 영국
- 독일
- 프랑스
- 이탈리아
- 스페인
- 기타
- 아시아태평양
- 아시아태평양의 거시경제 전망
- 일본
- 중국
- 인도
- 기타
- 라틴아메리카
- 라틴아메리카의 거시경제 전망
- 브라질
- 멕시코
- 기타
- 중동 및 아프리카
- 중동 및 아프리카의 거시경제 전망
- GCC
- 기타
제12장 경쟁 구도
- 개요
- 주요 진출 기업 전략/강점, 2022-2025년
- 매출 분석, 2020-2024년
- 시장 점유율 분석, 2024년
- 기업 평가 매트릭스 : 주요 진출 기업, 2024년
- 기업 평가 매트릭스 : 스타트업/중소기업, 2024년
- 기업 평가와 재무 지표
- 브랜드/소프트웨어 비교
- 경쟁 시나리오
제13장 기업 개요
- 주요 진출 기업
- ORACLE
- MICROSOFT
- GOOGLE
- SALESFORCE, INC.
- SAS INSTITUTE INC.
- SAP SE
- TIBCO SOFTWARE INC.
- SNOWFLAKE INC.
- QLIKTECH INTERNATIONAL AB
- INFOSYS LIMITED
- SISENSE INC.
- ACCENTURE
- AVAILITY, LLC
- DOMO, INC.
- KOMODO HEALTH, INC.
- VIRTUSA
- DATAVANT
- INFOR, INC.
- HEALTHVERITY, INC.
- THOUGHTSPOT INC.
- 기타 기업
- VERATO
- PARTICLE HEALTH, INC.
- INNOVACCER, INC.
- H1
- MEDABLE INC.
제14장 부록
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The global healthcare data monetization market is projected to reach USD 1.16 billion by 2030 from USD 0.58 billion in 2025, at a CAGR of 14.9% during the forecast period. The growth of the market is mainly driven by the increasing volume of medical imaging data, the shift towards enterprise-wide interoperability, and the rising demand for centralized, vendor-neutral platforms that streamline imaging workflows. Additionally, healthcare digitization initiatives and regulatory support for health information exchange are further promoting market expansion. However, high implementation costs and challenges related to data migration continue to hinder the adoption of advanced Vendor Neutral Archives (VNA) and Picture Archiving and Communication Systems (PACS) solutions, particularly among small and mid-sized healthcare providers.
| Scope of the Report |
|---|
| Years Considered for the Study | 2024-2030 |
| Base Year | 2024 |
| Forecast Period | 2024-2030 |
| Units Considered | Value (USD billion) |
| Segments | Type, Deployment, and End User |
| Regions covered | North America, Europe, the Asia Pacific, Latin America, and the Middle East & Africa |
"Services, an indirect data monetization segment, will witness the highest growth during the forecast period."
Based on type, the healthcare data monetization market is segmented into direct and indirect data monetization. The direct data monetization segment is divided into software and services. Similarly, the indirect data monetization market is also categorized into software and services. Among these, the services subsegment of indirect data monetization is expected to experience the fastest growth during the forecast period. This growth is driven by the increasing demand for specialized expertise in extracting actionable insights from complex health data. As the focus on advanced analytics, interoperability, and real-world evidence continues to rise, service providers are assisting healthcare organizations in unlocking monetization potential without directly selling data. Companies such as Innovaccer, Komodo Health, and IQVIA offer platforms and consulting services that enable data integration, predictive modeling, and strategic collaborations. These efforts help drive revenue through value-based care, research, and product innovation.
"The on-premise segment held the largest segment in the healthcare data monetization market, by deployment model, in 2024."
By deployment model, the on-premise deployment model held the largest share of the healthcare data monetization market in 2024, primarily due to its advantages in data security, control, and compliance. Healthcare organizations handle highly sensitive patient information and must comply with strict regulatory requirements such as HIPAA, GDPR, and national data protection laws. On-premises systems allow these institutions to maintain direct control over their data infrastructure, which enhances protection against breaches and unauthorized access. Many large hospitals and healthcare providers also have legacy systems and IT investments that work more effectively with on-premises solutions, enabling better integration, customization, and performance optimization. This deployment model is especially preferred in regions with strict data residency laws or limited cloud infrastructure, contributing to its significant market share.
"The Asia Pacific market is expected to register the highest growth throughout the forecast period."
The Asia Pacific (APAC) region is expected to achieve the highest CAGR in the global healthcare data monetization market during the forecast period. This growth is driven by strong digital health initiatives and the expansion of cloud infrastructure. Initiatives like India's Ayushman Bharat Digital Mission and China's Health Information Platform generate large volumes of health data that are well-suited for monetization. Additionally, global technology companies are enhancing regional capabilities, as seen in Microsoft's USD 2.2 billion investment in Malaysia and Fujitsu's cloud-based platform in Japan. These developments create a robust foundation for efficient, compliant, and value-driven healthcare data monetization.
The breakdown of primary participants is as mentioned below:
- By Company Type: Tier 1: 45%, Tier 2: 30%, and Tier 3: 25%
- By Designation: C-level: 42%, Director-level: 31%, and Others: 27%
- By Region: North America: 35%, Europe: 30%, Asia Pacific: 25%, Middle East & Africa: 5%, Latin America: 5%
Key Players in the Healthcare Data Monetization Market
The key players functioning in the healthcare data monetization market include Oracle Corporation (US), Microsoft Corporation (US), Google (US), Salesforce, Inc. (US), SAS Institute Inc. (US), SAP SE (Germany), TIBCO Software Inc. (US), Sisense Inc. (US), Snowflake Inc. (US), QlikTech International AB (US), HealthVerity, Inc. (US), Accenture (Ireland), Availity, LLC (US), Domo, Inc. (US), Komodo Health, Inc. (US), ThoughtSpot Inc. (US), Datavant (US), Verato (US), Infor, Inc. (US), Virtusa (US), Infosys (India), Particle Health, Inc. (US), Innovaccer, Inc. (US), H1 (US), and Medable Inc. (US).
Research Coverage:
The report analyzes the healthcare data monetization market. It aims to estimate the market size and future growth potential of various market segments based on type, deployment type, end-user, and region. The report also provides a competitive analysis of the key players in this market, along with their company profiles, product offerings, recent developments, and key market strategies.
Reasons to Buy the Report
This report will help established firms and new entrants/smaller firms gauge the market's pulse, which would help them garner a greater market share. Firms purchasing the report could use one or a combination of the strategies mentioned below to strengthen their positions in the market.
This report provides insights on:
- Analysis of key drivers (rising volume of healthcare data, shift toward value-based care, advancements in AI and analytics), restraints (data privacy and regulatory concerns, lack of standardization and interoperability), opportunities (emergence of cloud-based data platforms, growing demand for real-world evidence (RWE)), and challenges (ethical concerns around data ownership and consent, limited digital maturity among healthcare providers) influencing the growth of the market.
- Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the healthcare data monetization market.
- Market Development: Comprehensive information on the lucrative emerging markets, type, deployment, end user, and region.
- Market Diversification: Exhaustive information about the product portfolios, growing geographies, recent developments, and investments in the healthcare data monetization market.
- Competitive Assessment: In-depth assessment of market shares, growth strategies, product offerings, and capabilities of the leading players in the healthcare data monetization market like Oracle Corporation (US), Microsoft Corporation (US), Google (US), Salesforce (US), SAS Institute (US), and SAP (Germany).
TABLE OF CONTENTS
1 INTRODUCTION
- 1.1 STUDY OBJECTIVES
- 1.2 MARKET DEFINITION
- 1.3 INCLUSIONS AND EXCLUSIONS
- 1.4 MARKET SCOPE
- 1.4.1 MARKET SEGMENTATION
- 1.5 YEARS CONSIDERED
- 1.6 CURRENCY CONSIDERED
- 1.7 LIMITATIONS
- 1.8 STAKEHOLDERS
2 RESEARCH METHODOLOGY
- 2.1 RESEARCH DATA
- 2.2 RESEARCH APPROACH
- 2.2.1 SECONDARY RESEARCH
- 2.2.1.1 Key data from secondary sources
- 2.2.2 PRIMARY RESEARCH
- 2.2.2.1 Key primary sources
- 2.2.2.2 Key data from primary sources
- 2.2.2.3 Key industry insights
- 2.2.2.4 Breakdown of primary interviews
- 2.3 RESEARCH METHODOLOGY DESIGN
- 2.4 MARKET SIZE ESTIMATION
- 2.5 MARKET BREAKDOWN AND DATA TRIANGULATION
- 2.6 RESEARCH ASSUMPTIONS
- 2.7 RISK ASSESSMENT
- 2.8 RESEARCH LIMITATIONS
- 2.8.1 METHODOLOGY-RELATED LIMITATIONS
- 2.8.2 SCOPE-RELATED LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
- 4.1 OPPORTUNITIES IN HEALTHCARE DATA MONETIZATION MARKET
- 4.2 HEALTHCARE DATA MONETIZATION MARKET, BY REGION
- 4.3 HEALTHCARE DATA MONETIZATION MARKET: GEOGRAPHIC GROWTH OPPORTUNITIES
- 4.4 HEALTHCARE DATA MONETIZATION MARKET IN NORTH AMERICA, BY END USER AND COUNTRY
- 4.5 HEALTHCARE DATA MONETIZATION MARKET: DEVELOPED VS. EMERGING MARKETS
5 MARKET OVERVIEW
- 5.1 INTRODUCTION
- 5.2 MARKET DYNAMICS
- 5.2.1 DRIVERS
- 5.2.1.1 Growing use of external data sources
- 5.2.1.2 Increasing adoption of electronic health records (EHRs)
- 5.2.1.3 Growing volume of large and complex healthcare datasets
- 5.2.1.4 Rising need to curtail escalating healthcare costs
- 5.2.2 RESTRAINTS
- 5.2.2.1 Lack of data standardization and interoperability
- 5.2.2.2 Regulatory constraints
- 5.2.3 OPPORTUNITIES
- 5.2.3.1 Rising demand for real-world evidence
- 5.2.3.2 Emergence of personalized medicine and genomics
- 5.2.4 CHALLENGES
- 5.2.4.1 Security concerns
- 5.3 INDUSTRY TRENDS
- 5.3.1 HIGH DEMAND FOR OUTCOME-LINKED DATA MONETIZATION DUE TO SURGE IN VALUE-BASED CARE
- 5.3.2 SIGNIFICANT DEMAND FOR REAL-WORLD DATA (RWD) BY PHARMA COMPANIES FOR DRUG DEVELOPMENT
- 5.3.3 EMERGENCE OF HEALTH DATA MARKETPLACES FOR DATA EXCHANGE
- 5.3.4 GROWTH IN CONSUMER-GENERATED HEALTH DATA
- 5.4 TYPES OF HEALTHCARE DATA MONETIZATION SOLUTIONS
- 5.4.1 DIRECT DATA MONETIZATION
- 5.4.2 INDIRECT DATA MONETIZATION
- 5.5 TECHNOLOGY ANALYSIS
- 5.5.1 DATA AS A SERVICE
- 5.5.2 INSIGHT AS A SERVICE
- 5.5.3 ANALYTICS-ENABLED PLATFORM AS A SERVICE
- 5.5.4 EMBEDDED ANALYTICS
- 5.5.5 ARTIFICIAL INTELLIGENCE (AI) AND MACHINE LEARNING (ML)
- 5.6 REGULATORY LANDSCAPE
- 5.6.1 REGULATORY BODIES, GOVERNMENT AGENCIES, & OTHER ORGANIZATIONS
- 5.6.2 REGULATIONS
- 5.7 SUPPLY CHAIN ANALYSIS
- 5.8 ECOSYSTEM ANALYSIS
- 5.9 PATENT ANALYSIS
- 5.9.1 PATENT PUBLICATION TRENDS IN HEALTHCARE DATA MONETIZATION MARKET
- 5.9.2 JURISDICTION AND TOP APPLICANT ANALYSIS
- 5.10 CASE STUDY ANALYSIS
- 5.10.1 CASE STUDY 1: ACCOLADE REDUCES PATIENT ONBOARDING TIME BY DEPLOYING AWS-INTEGRATED DATA FABRIC SOLUTION
- 5.10.2 CASE STUDY 2: LEADING HEALTHCARE REVENUE MANAGEMENT COMPANY ADOPTS TIBCO SOFTWARE TO CUT DEVELOPER COSTS BY 50%
- 5.10.3 CASE STUDY 3: SAKURA FINETEK EUROPE FUTURE-PROOFS ITS BUSINESS BY DEPLOYING ORACLE CLOUD APPLICATIONS
- 5.10.4 CASE STUDY 4: AMERISOURCEBERGEN GAINS FINANCE EFFICIENCIES USING ORACLE CLOUD EPM
- 5.10.5 CASE STUDY 5: SKYGEN IMPROVES FINANCIAL VISIBILITY USING ORACLE CLOUD ERP AND EPM
- 5.10.6 CASE STUDY 6: HEALTH FIRST USES AZURE SYNAPSE ANALYTICS TO CREATE A DATA MANAGEMENT SOLUTION AND IMPROVE REFRESH SPEEDS BY 75%
- 5.10.7 CASE STUDY 7: COMMERCIAL UNDERWRITER ADOPTS HEALTHVERITY'S HVID SOLUTION TO CALIBRATE RISKS IN INSURANCE POLICIES
- 5.10.8 CASE STUDY 8: PHARMA COMPANIES USE HEALTHVERITY'S HVID SOLUTION IN PRAGMATIC CLINICAL TRIALS TO TRACK TREATMENT AND CLINICALLY RELEVANT OUTCOMES
- 5.10.9 CASE STUDY 9: PHARMA COMPANIES ADOPT HEALTHVERITY'S HVID SOLUTION TO IDENTIFY HEART FAILURE PATIENTS
- 5.10.10 CASE STUDY 10: PHARMA COMPANIES DEPLOY HEALTHVERITY MARKETPLACE AND CENSUS SOLUTIONS FOR CLINICAL TRIAL ANALYSIS
- 5.11 PORTER'S FIVE FORCES ANALYSIS
- 5.11.1 THREAT OF NEW ENTRANTS
- 5.11.2 THREAT OF SUBSTITUTES
- 5.11.3 BARGAINING POWER OF SUPPLIERS
- 5.11.4 BARGAINING POWER OF BUYERS
- 5.11.5 INTENSITY OF COMPETITIVE RIVALRY
- 5.12 KEY STAKEHOLDERS AND BUYING CRITERIA
- 5.12.1 KEY STAKEHOLDERS IN BUYING PROCESS
- 5.12.2 BUYING CRITERIA
- 5.13 KEY CONFERENCES AND EVENTS, 2025
- 5.14 AVERAGE SELLING PRICE: DATA MONETIZATION MARKET
- 5.15 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
6 IMPACT OF 2025 US TARIFF ON HEATHCARE DATA MONETIZATION MARKET
- 6.1 INTRODUCTION
- 6.2 KEY TARIFF RATES
- 6.3 PRICE IMPACT ANALYSIS
- 6.4 IMPACT ON COUNTRY/REGION
- 6.4.1 US
- 6.4.2 EUROPE
- 6.4.3 ASIA PACIFIC
- 6.5 IMPACT ON END USERS
- 6.5.1 PHARMACEUTICAL & BIOTECHNOLOGY COMPANIES
- 6.5.1.1 Clinical trial data analytics
- 6.5.1.2 Real-world evidence platforms
- 6.5.1.3 Genomics and precision medicines
- 6.5.1.4 Supply chain data analytics
- 6.5.1.5 Regulatory compliance
- 6.5.2 HEALTHCARE PAYERS
- 6.5.2.1 Claims analytics platforms
- 6.5.2.2 Population health management
- 6.5.2.3 Risk assessment and underwriting
- 6.5.2.4 Regulatory reporting
- 6.5.2.5 Market consolidation
- 6.5.3 HEALTHCARE SERVICE PROVIDERS
- 6.5.3.1 Clinical decision support
- 6.5.3.2 Operational analytics
- 6.5.3.3 Research and clinical trials
- 6.5.3.4 Benchmarking and comparative analytics
- 6.5.3.5 Technology integration
- 6.5.4 MEDTECH COMPANIES
- 6.5.4.1 Product development analytics
- 6.5.4.2 Post-market surveillance
- 6.5.4.3 Device data monetization
- 6.5.4.4 Regulatory compliance
- 6.5.4.5 Supply chain integration
- 6.5.5 DIGITAL HEALTH COMPANIES
- 6.5.6 HEALTHCARE CONSULTING FIRMS
- 6.5.7 ACADEMIC RESEARCH INSTITUTIONS
- 6.5.8 GOVERNMENT AGENCIES
7 HEALTHCARE DATA MONETIZATION MARKET, BY TYPE
- 7.1 INTRODUCTION
- 7.2 DIRECT DATA MONETIZATION
- 7.2.1 SOFTWARE
- 7.2.1.1 Rising adoption of AI, ML, and blockchain technologies to enhance value proposition of data assets to drive market
- 7.2.2 SERVICES
- 7.2.2.1 Cloud-based infrastructure, scalability, and cost-effectiveness to improve adoption of direct data monetization services
- 7.3 INDIRECT DATA MONETIZATION
- 7.3.1 SOFTWARE
- 7.3.1.1 Growing focus on data analytics and insights to support market growth
- 7.3.2 SERVICES
- 7.3.2.1 Rising emphasis on advanced data analytics and actionable insights to contribute to market growth
8 HEALTHCARE DATA MONETIZATION MARKET, BY DATA TYPE
- 8.1 INTRODUCTION
- 8.1.1 CLINICAL DATA
- 8.1.1.1 Rising use of AI and ML to extract actionable insights from clinical data to create opportunities
- 8.1.2 CLINICAL TRIAL DATA
- 8.1.2.1 Growing demand for real-world evidence and AI-driven trial optimization to drive market
- 8.1.3 CLAIMS AND BILLING DATA
- 8.1.3.1 Surging requirement for value-based care and cost transparency to boost segmental growth
- 8.1.4 CONSUMER AND DIGITAL HEALTH DATA
- 8.1.4.1 Elevating demand for chronic disease management and predictive healthcare services to support market growth
- 8.1.5 GENOMIC AND MOLECULAR DATA
- 8.1.5.1 Rising preference for precision and personalized medicines to foster market growth
- 8.1.6 OTHER DATA TYPES
9 HEALTHCARE DATA MONETIZATION MARKET, BY DEPLOYMENT
- 9.1 INTRODUCTION
- 9.2 ON-PREMISES
- 9.2.1 EMPHASIS ON MINIMIZING DATA EXPOSURE TO THIRD-PARTY ENVIRONMENTS TO BOOST SEGMENTAL GROWTH
- 9.3 CLOUD-BASED
- 9.3.1 FOCUS ON OPTIMIZING DEPLOYMENT COSTS TO FUEL SEGMENTAL GROWTH
10 HEALTHCARE DATA MONETIZATION MARKET, BY END USER
- 10.1 INTRODUCTION
- 10.2 PHARMACEUTICAL & BIOTECHNOLOGY COMPANIES
- 10.2.1 RISING USE OF RWD AND RWE TO ACCELERATE MARKET GROWTH
- 10.3 HEALTHCARE PAYERS
- 10.3.1 PRESSING NEED TO DESIGN INNOVATIVE VALUE-BASED CARE MODELS TO CREATE OPPORTUNITIES
- 10.4 HEALTHCARE PROVIDERS
- 10.4.1 URGENT REQUIREMENT TO OPTIMIZE CLINICAL WORKFLOWS AND IDENTIFY HIGH-RISK POPULATIONS TO BOOST MARKET GROWTH
- 10.5 MEDICAL TECHNOLOGY COMPANIES
- 10.5.1 INCREASING PENETRATION OF CONNECTED MEDICAL DEVICES AND WEARABLES TO PROPEL MARKET
- 10.6 OTHER END USERS
11 HEALTHCARE DATA MONETIZATION MARKET, BY REGION
- 11.1 INTRODUCTION
- 11.2 NORTH AMERICA
- 11.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA
- 11.2.2 US
- 11.2.2.1 Inclination toward value-based care and outcome-focused healthcare models to stimulate demand
- 11.2.3 CANADA
- 11.2.3.1 Growing digitization of healthcare records to boost adoption
- 11.3 EUROPE
- 11.3.1 MACROECONOMIC OUTLOOK FOR EUROPE
- 11.3.2 UK
- 11.3.2.1 Growing use of wearable medical devices to fuel market growth
- 11.3.3 GERMANY
- 11.3.3.1 Government initiatives to develop digital healthcare ecosystem to create opportunities
- 11.3.4 FRANCE
- 11.3.4.1 Government initiatives promoting digital health roadmap to boost demand
- 11.3.5 ITALY
- 11.3.5.1 Focus of healthcare sector on digital transformation to support market growth
- 11.3.6 SPAIN
- 11.3.6.1 Surging demand for predictive analytics and value-based care models to fuel market growth
- 11.3.7 REST OF EUROPE
- 11.4 ASIA PACIFIC
- 11.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
- 11.4.2 JAPAN
- 11.4.2.1 Elevating need for effective patient management solutions with increasing geriatric population to drive market
- 11.4.3 CHINA
- 11.4.3.1 High prevalence of chronic diseases to drive demand
- 11.4.4 INDIA
- 11.4.4.1 Government initiatives to create unified digital health ecosystem to foster market growth
- 11.4.5 REST OF ASIA PACIFIC
- 11.5 LATIN AMERICA
- 11.5.1 MACROECONOMIC OUTLOOK FOR LATIN AMERICA
- 11.5.2 BRAZIL
- 11.5.2.1 Government initiatives to digitize patient records to boost demand
- 11.5.3 MEXICO
- 11.5.3.1 Rising adoption of telemedicine and mobile health platforms to drive market
- 11.5.4 REST OF LATIN AMERICA
- 11.6 MIDDLE EAST & AFRICA
- 11.6.1 MACROECONOMIC OUTLOOK FOR MIDDLE EAST & AFRICA
- 11.6.2 GCC
- 11.6.2.1 National digital health visions and AI-driven healthcare transformation to propel market
- 11.6.3 REST OF MIDDLE EAST & AFRICA
12 COMPETITIVE LANDSCAPE
- 12.1 OVERVIEW
- 12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2022-2025
- 12.3 REVENUE ANALYSIS, 2020-2024
- 12.4 MARKET SHARE ANALYSIS, 2024
- 12.5 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
- 12.5.1 STARS
- 12.5.2 EMERGING LEADERS
- 12.5.3 PERVASIVE PLAYERS
- 12.5.4 PARTICIPANTS
- 12.5.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
- 12.5.5.1 Company footprint
- 12.5.5.2 Region footprint
- 12.5.5.3 Type footprint
- 12.5.5.4 End user footprint
- 12.6 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
- 12.6.1 PROGRESSIVE COMPANIES
- 12.6.2 RESPONSIVE COMPANIES
- 12.6.3 DYNAMIC COMPANIES
- 12.6.4 STARTING BLOCKS
- 12.6.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
- 12.6.5.1 Detailed list of key startups/SMEs
- 12.6.5.2 Competitive benchmarking of key startups/SMEs
- 12.7 COMPANY VALUATION AND FINANCIAL METRICS
- 12.7.1 FINANCIAL METRICS
- 12.7.2 COMPANY VALUATION
- 12.8 BRAND/SOFTWARE COMPARISON
- 12.9 COMPETITIVE SCENARIO
- 12.9.1 PRODUCT LAUNCHES & ENHANCEMENTS
- 12.9.2 DEALS
13 COMPANY PROFILES
- 13.1 KEY PLAYERS
- 13.1.1 ORACLE
- 13.1.1.1 Business overview
- 13.1.1.2 Products offered
- 13.1.1.3 Recent developments
- 13.1.1.3.1 Product launches & enhancements
- 13.1.1.3.2 Deals
- 13.1.1.4 MnM view
- 13.1.1.4.1 Right to win
- 13.1.1.4.2 Strategic choices
- 13.1.1.4.3 Weaknesses & competitive threats
- 13.1.2 MICROSOFT
- 13.1.2.1 Business overview
- 13.1.2.2 Products offered
- 13.1.2.3 Recent developments
- 13.1.2.3.1 Product launches & enhancements
- 13.1.2.3.2 Deals
- 13.1.2.4 MnM view
- 13.1.2.4.1 Right to win
- 13.1.2.4.2 Strategic choices
- 13.1.2.4.3 Weaknesses & competitive threats
- 13.1.3 GOOGLE
- 13.1.3.1 Business overview
- 13.1.3.2 Products offered
- 13.1.3.3 Recent developments
- 13.1.3.3.1 Product launches & enhancements
- 13.1.3.3.2 Deals
- 13.1.3.4 MnM view
- 13.1.3.4.1 Right to win
- 13.1.3.4.2 Strategic choices
- 13.1.3.4.3 Weaknesses & competitive threats
- 13.1.4 SALESFORCE, INC.
- 13.1.4.1 Business overview
- 13.1.4.2 Products offered
- 13.1.4.3 Recent developments
- 13.1.4.3.1 Product launches & enhancements
- 13.1.4.3.2 Deals
- 13.1.4.4 MnM view
- 13.1.4.4.1 Right to win
- 13.1.4.4.2 Strategic choices
- 13.1.4.4.3 Weaknesses & competitive threats
- 13.1.5 SAS INSTITUTE INC.
- 13.1.5.1 Business overview
- 13.1.5.2 Products offered
- 13.1.5.3 Recent developments
- 13.1.5.3.1 Product launches & enhancements
- 13.1.5.3.2 Deals
- 13.1.5.4 MnM view
- 13.1.5.4.1 Right to win
- 13.1.5.4.2 Strategic choices
- 13.1.5.4.3 Weaknesses & competitive threats
- 13.1.6 SAP SE
- 13.1.6.1 Business overview
- 13.1.6.2 Products offered
- 13.1.6.3 Recent developments
- 13.1.6.3.1 Product launches & enhancements
- 13.1.6.3.2 Deals
- 13.1.7 TIBCO SOFTWARE INC.
- 13.1.7.1 Business overview
- 13.1.7.2 Products offered
- 13.1.7.3 Recent developments
- 13.1.7.3.1 Product launches & enhancements
- 13.1.7.3.2 Deals
- 13.1.8 SNOWFLAKE INC.
- 13.1.8.1 Business overview
- 13.1.8.2 Products offered
- 13.1.8.3 Recent developments
- 13.1.8.3.1 Product launches & enhancements
- 13.1.8.3.2 Deals
- 13.1.9 QLIKTECH INTERNATIONAL AB
- 13.1.9.1 Business overview
- 13.1.9.2 Products offered
- 13.1.9.3 Recent developments
- 13.1.9.3.1 Product launches & enhancements
- 13.1.9.3.2 Deals
- 13.1.10 INFOSYS LIMITED
- 13.1.10.1 Business overview
- 13.1.10.2 Products offered
- 13.1.10.3 Recent developments
- 13.1.11 SISENSE INC.
- 13.1.11.1 Business overview
- 13.1.11.2 Products offered
- 13.1.11.3 Recent developments
- 13.1.11.3.1 Product launches & enhancements
- 13.1.11.3.2 Deals
- 13.1.12 ACCENTURE
- 13.1.12.1 Business overview
- 13.1.12.2 Products offered
- 13.1.12.3 Recent developments
- 13.1.12.3.1 Product launches & enhancements
- 13.1.12.3.2 Deals
- 13.1.13 AVAILITY, LLC
- 13.1.13.1 Business overview
- 13.1.13.2 Products offered
- 13.1.13.3 Recent developments
- 13.1.13.3.1 Product launches & enhancements
- 13.1.13.3.2 Deals
- 13.1.14 DOMO, INC.
- 13.1.14.1 Business overview
- 13.1.14.2 Products offered
- 13.1.14.3 Recent developments
- 13.1.14.3.1 Product launches & enhancements
- 13.1.14.3.2 Deals
- 13.1.15 KOMODO HEALTH, INC.
- 13.1.15.1 Business overview
- 13.1.15.2 Products offered
- 13.1.15.3 Recent developments
- 13.1.15.3.1 Product launches & enhancements
- 13.1.15.3.2 Deals
- 13.1.16 VIRTUSA
- 13.1.16.1 Business overview
- 13.1.16.2 Products offered
- 13.1.16.3 Recent developments
- 13.1.16.3.1 Product launches & enhancements
- 13.1.16.3.2 Deals
- 13.1.17 DATAVANT
- 13.1.17.1 Business overview
- 13.1.17.2 Products offered
- 13.1.17.3 Recent developments
- 13.1.17.3.1 Product launches & enhancements
- 13.1.17.3.2 Deals
- 13.1.18 INFOR, INC.
- 13.1.18.1 Business overview
- 13.1.18.2 Products offered
- 13.1.18.3 Recent developments
- 13.1.18.3.1 Product launches & enhancements
- 13.1.19 HEALTHVERITY, INC.
- 13.1.19.1 Business overview
- 13.1.19.2 Products offered
- 13.1.19.3 Recent developments
- 13.1.19.3.1 Product launches & enhancements
- 13.1.19.3.2 Deals
- 13.1.20 THOUGHTSPOT INC.
- 13.1.20.1 Business overview
- 13.1.20.2 Products offered
- 13.1.20.3 Recent developments
- 13.1.20.3.1 Product launches & enhancements
- 13.1.20.3.2 Deals
- 13.2 OTHER PLAYERS
- 13.2.1 VERATO
- 13.2.2 PARTICLE HEALTH, INC.
- 13.2.3 INNOVACCER, INC.
- 13.2.4 H1
- 13.2.5 MEDABLE INC.
14 APPENDIX
- 14.1 DISCUSSION GUIDE
- 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
- 14.3 CUSTOMIZATION OPTIONS
- 14.4 RELATED REPORTS
- 14.5 AUTHOR DETAILS
