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1454029

到 2030 年的醫療保健資料貨幣化市場預測 - 各類型、資料類型、部署類型、應用程式、最終用戶和地理位置的全球分析

Healthcare Data Monetization Market Forecasts to 2030 - Global Analysis By Type, Data Type, Deployment Type, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，2023 年全球醫療保健數據貨幣化市場規模為 4 億美元，預計到 2030 年將達到 14.8 億美元，預測期內複合CAGR為 20.5%。醫療保健資料貨幣化是從健康相關資訊中提取價值以獲取經濟利益的過程。這些資料從電子健康記錄 (EHR)、穿戴式裝置和醫療設備等各種來源收集，經過分析後轉化為可出售給感興趣方的見解或服務。醫療保健資料的貨幣化可以帶來醫學研究的創新、改善病患照護以及新產品和服務的發展。

市場動態：

驅動因素：

醫療數據量不斷增加

隨著電子健康記錄 (EHR)、穿戴式裝置和其他數位健康技術的廣泛採用，醫療保健產業產生的資料量呈指數級成長。資料貨幣化涉及從龐大的資料池中提取可操作的見解，並將其轉換為可以出售或交換的有價值的資產。此外，醫療保健資料的貨幣化為醫療保健提供者、付款人、技術公司和其他利益相關者開闢了新的收入來源，從而推動了醫療保健行業的成長和創新。

阻礙因素：

數據品質和準確性

在醫療保健領域，資料是從各種來源產生的，例如電子健康記錄、醫療設備、穿戴式裝置和病患報告資訊。這些資料的高品質和準確性對於確保其在決策過程和研究中的可用性和可靠性至關重要。然而，資料品質和準確性差可能會對醫療保健產生嚴重後果。它可能導致錯誤的診斷、無效的治療、病人安全受損以及研究結果不可靠，進而影響市場需求。

機會：

技術進步

先進分析工具、人工智慧 (AI) 和機器學習 (ML) 演算法的持續發展使醫療保健組織能夠提取更深入的見解，解鎖隱藏的模式，並從大量資料中獲取可操作的情報。此外，區塊鏈技術等創新提供了增強的安全性和透明度，促進安全的資料共享和貨幣化，同時維護患者的隱私和機密性。這些因素加速了市場需求。

威脅：

安全問題

醫療保健資料因其在黑市和各種非法活動（例如身份盜竊和保險詐欺）中的價值而受到網路犯罪分子的高度覬覦。此外，由於攻擊者利用網路基礎設施、軟體應用程式和人為錯誤的漏洞，醫療保健系統的互連性質以及數位技術的日益採用，加大了安全漏洞的風險。醫療保健資料的洩漏不僅會損害患者的隱私，還會破壞對醫療保健組織的信任並損害其聲譽。因此，安全問題是限制市場擴張的重要因素。

Covid-19 影響

COVID-19 大流行對醫療資料貨幣化市場產生了重大影響。疫情期間產生的醫療保健資料突然激增，包括病患健康記錄、診斷測試結果和疫苗分發資料，凸顯了數據驅動決策在醫療保健中的至關重要性。一方面，疫情加速了數位醫療技術的採用，並促進了利益相關者之間的合作，以即時收集、分析和共享資料。

預計內部部署部分在預測期內將是最大的

內部部署部分預計將佔據最大佔有率。它們提供了更好的控制和客製化選項，允許組織根據其獨特的資料貨幣化策略、合規性標準和安全協議來配置軟體。此外，與基於雲端的替代方案相比，本地解決方案通常提供增強的資料隱私和安全措施。醫療保健組織實施強大的加密、存取控制和其他安全措施來保護敏感的患者訊息，同時利用資料貨幣化策略。

精準醫療領域預估在預測期間內複合CAGR最高

預計精準醫療領域在預測期內將出現利潤豐厚的成長。精準醫學中的數據貨幣化策略涉及負責任地將有價值的資訊用於各種目的，例如藥物開發、臨床試驗最佳化和醫療資源分配。此外，這可能包括向製藥公司許可資料進行研究、與醫療機構合作開展數據驅動計劃，或開發用於預測分析的專有演算法和工具。

佔比最大的地區：

在推斷期間，北美佔據了最大的市場佔有率。該地區的特點是醫療基礎設施完善，數位醫療技術廣泛採用，從而不斷產生大量醫療資料。這些資料包括電子健康記錄 (EHR)、臨床資料、患者人口統計等，為貨幣化創造了豐富的資源。此外，美國的 HIPAA（健康保險流通與責任法案）等嚴格法規確保醫療資料的保護和隱私，培養消費者之間的信任並促進安全的資料共享和貨幣化實踐。

複合CAGR最高的地區：

由於該地區人口迅速成長、醫療保健支出增加以及數位基礎設施不斷擴大，預計亞太地區在預測期內將實現盈利成長。該地區正在經歷醫療保健領域的數位轉型，電子健康記錄 (EHR)、遠距醫療、穿戴式裝置和其他健康科技的採用，帶來了巨大的獲利前景。此外，亞太地區各國政府正在優先考慮醫療改革和投資健康資訊系統，促進醫療利害關係人之間的互通性和資料交換。

主要進展：

2023 年11 月，埃森哲宣布與沃達豐集團合作，將沃達豐的共享業務商業化，以加速成長、增強客戶服務、顯著提高沃達豐營運公司和合作夥伴市場的效率，並為其員工創造新的職業機會。

2023 年 9 月，微軟和 Oracle 擴大合作夥伴關係，在 Microsoft Azure 中的 Oracle 雲端基礎架構上提供 Oracle 資料庫服務。

2023 年 5 月，微軟公司和富士通有限公司宣佈建立合作夥伴關係，以大幅擴大雙方現有的合作。該協議將涉及兩家公司的投資，以推動富士通數十億美元的Uvance 業務的擴張，利用微軟雲端和業界領先的技術，以數位化方式改變世界各地的組織開發更永續的實踐和解決方案來滿足社會需求，以及釋放新的業務成長點。

2022 年 6 月，Oracle 宣布與全球最大的 IT 基礎設施服務供應商 Kyndryl 建立合作夥伴關係，透過向世界各地的企業提供託管雲端解決方案來幫助客戶加快雲端之旅。

我們的報告提供了什麼：

  • 區域和國家層面的市場佔有率評估
  • 對新進入者的策略建議
  • 涵蓋2021年、2022年、2023年、2026年及2030年的市場資料
  • 市場趨勢（促進因素、限制因素、機會、威脅、課題、投資機會和建議）
  • 根據市場預測提出關鍵業務部門的策略建議
  • 競爭性景觀美化繪製主要共同趨勢
  • 公司概況，包括詳細的策略、財務狀況和最新發展
  • 反映最新技術進步的供應鏈趨勢

免費客製化產品：

本報告的所有客戶都將有權獲得以下免費自訂選項之一：

  • 公司簡介
    • 其他市場參與者的綜合分析（最多 3 個）
    • 關鍵參與者的 SWOT 分析（最多 3 個）
  • 區域區隔
    • 根據客戶的興趣對任何主要國家的市場估計、預測和CAGR（註：取決於可行性檢查）
  • 競爭基準化分析
    • 根據產品組合、地理分佈和策略聯盟對主要參與者基準化分析

目錄

第 1 章：執行摘要

第 2 章：前言

  • 抽象的
  • 股東
  • 研究範圍
  • 研究方法論
    • 資料探勘
    • 數據分析
    • 數據驗證
    • 研究方法
  • 研究來源
    • 主要研究來源
    • 二手研究來源
    • 假設

第 3 章：市場趨勢分析

  • 介紹
  • 促進要素
  • 限制
  • 機會
  • 威脅
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • Covid-19 的影響

第 4 章：波特五力分析

  • 供應商的議價能力
  • 買家的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭競爭

第 5 章：全球醫療數據貨幣化市場：依類型

  • 介紹
  • 直接數據貨幣化
  • 間接數據貨幣化

第 6 章：全球醫療數據貨幣化市場：依數據類型

  • 介紹
  • 患者人口統計
  • 電子健康記錄
  • 索賠和帳單數據
  • 藥物研究數據
  • 臨床數據
  • 其他資料類型

第 7 章：全球醫療數據貨幣化市場：依部署類型

  • 介紹
  • 本地部署
  • 雲

第 8 章：全球醫療數據貨幣化市場：依應用分類

  • 介紹
  • 疾病監測與疫情預測
  • 臨床試驗最佳化
  • 精準醫療
  • 醫療保健預測分析
  • 衛生政策和法規
  • 醫療保健行銷和銷售
  • 其他應用

第 9 章：全球醫療數據貨幣化市場：依最終用戶分類

  • 介紹
  • 製藥與生物技術公司
  • 醫療保健支付者
  • 醫療保健機構
  • 醫療科技公司
  • 研究機構
  • 政府機構
  • 其他最終用戶

第 10 章：全球醫療數據貨幣化市場：依地理位置

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 歐洲其他地區
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太地區其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 中東和非洲其他地區

第 11 章：主要進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 擴充
  • 其他關鍵策略

第 12 章：公司概況

  • Oracle Corporation
  • Google
  • Microsoft Corporation
  • SAS Institute Inc.
  • Salesforce, Inc.
  • Sisense Inc.
  • TIBCO Software Inc.
  • Informatica Inc.
  • Infosys Limited
  • Accenture Plc
  • OpenText Corporation
  • Siemens
  • Virtusa Corp
Product Code: SMRC25581

According to Stratistics MRC, the Global Healthcare Data Monetization Market is accounted for $0.40 billion in 2023 and is expected to reach $1.48 billion by 2030 growing at a CAGR of 20.5% during the forecast period. Healthcare data monetization is the process of extracting value from health-related information for financial gain. This data, collected from various sources such as electronic health records (EHRs), wearables, and medical devices, is analyzed and transformed into insights or services that can be sold to interested parties. The monetization of healthcare data can lead to innovations in medical research, improved patient care, and the development of new products and services.

Market Dynamics:

Driver:

Increasing Volume of Healthcare Data

With the widespread adoption of electronic health records (EHRs), wearable devices, and other digital health technologies, there has been an exponential growth in the amount of data generated within the healthcare sector. Data monetization involves extracting actionable insights from this vast pool of data and converting them into valuable assets that can be sold or exchanged. Additionally, the monetization of healthcare data opens up new revenue streams for healthcare providers, payers, technology companies, and other stakeholders, thereby driving growth and innovation within the healthcare industry.

Restraint:

Data quality and accuracy

In healthcare, data is generated from various sources, such as electronic health records, medical devices, wearables, and patient-reported information. It is crucial that this data be of high quality and accuracy to ensure its usability and reliability in decision-making processes and research. However, poor data quality and accuracy can have significant consequences in healthcare. It can lead to incorrect diagnoses, ineffective treatments, compromised patient safety, and unreliable research outcomes, which in turn impact market demand.

Opportunity:

Technological advancements

The continuous development of advanced analytics tools, artificial intelligence (AI), and machine learning (ML) algorithms enables healthcare organizations to extract deeper insights, unlock hidden patterns, and derive actionable intelligence from vast volumes of data. Furthermore, innovations such as block chain technology offer enhanced security and transparency, facilitating secure data sharing and monetization while maintaining patient privacy and confidentiality. These factors accelerate market demand.

Threat:

Security concern

Healthcare data is highly coveted by cybercriminals due to its value on the black market and for various illicit activities, such as identity theft and insurance fraud. Moreover, the interconnected nature of healthcare systems and the increasing adoption of digital technologies amplify the risk of security breaches as attackers exploit vulnerabilities in network infrastructure, software applications, and human error. A breach in healthcare data not only compromises patient privacy but also undermines trust in healthcare organizations and erodes their reputation. Therefore, a security concern is a significant factor limiting market expansion.

Covid-19 Impact

The COVID-19 pandemic has significantly impacted the healthcare data monetization market. The sudden surge in healthcare data generated during the pandemic, including patient health records, diagnostic testing results, and vaccine distribution data, has highlighted the critical importance of data-driven decision-making in healthcare. On one hand, the pandemic has accelerated the adoption of digital health technologies and spurred collaboration among stakeholders to collect, analyze, and share data in real-time.

The on-premise segment is expected to be the largest during the forecast period

The on-premise segment is estimated to hold the largest share. They provide greater control and customization options, allowing organizations to configure the software according to their unique data monetization strategies, compliance standards, and security protocols. Additionally, on-premise solutions often offer enhanced data privacy and security measures compared to cloud-based alternatives. Healthcare organizations implement robust encryption, access controls, and other security measures to protect sensitive patient information while leveraging data monetization strategies.

The precision medicine segment is expected to have the highest CAGR during the forecast period

The precision medicine segment is anticipated to have lucrative growth during the forecast period. Data monetization strategies in precision medicine involve responsibly leveraging valuable information for various purposes, such as drug development, clinical trial optimization, and healthcare resource allocation. Moreover, this may include licensing data to pharmaceutical companies for research, partnering with healthcare institutions for data-driven initiatives, or developing proprietary algorithms and tools for predictive analytics.

Region with largest share:

North America commanded the largest market share during the extrapolated period. The region is characterized by a well-established healthcare infrastructure and extensive adoption of digital health technologies, resulting in vast amounts of healthcare data being generated continuously. This data encompasses electronic health records (EHRs), clinical data, patient demographics, and more, creating a rich resource for monetization. Moreover, stringent regulations such as HIPAA (Health Insurance Portability and Accountability Act) in the United States ensure the protection and privacy of healthcare data, fostering trust among consumers and facilitating secure data sharing and monetization practices.

Region with highest CAGR:

Asia Pacific is expected to witness profitable growth over the projection period, due to the region's burgeoning population, increasing healthcare expenditures, and expanding digital infrastructure. The region is experiencing a digital transformation in healthcare, with the adoption of electronic health records (EHRs), telemedicine, wearable devices, and other health technologies, offering significant monetization prospects. Furthermore, governments across Asia Pacific are prioritizing healthcare reforms and investing in health information systems, promoting interoperability and data exchange among healthcare stakeholders.

Key players in the market

Some of the key players in the Healthcare Data Monetization Market include Oracle Corporation, Google, Microsoft Corporation, SAS Institute Inc., Salesforce, Inc., Sisense Inc., TIBCO Software Inc., Informatica Inc., Infosys Limited, Accenture Plc, OpenText Corporation, Siemens and Virtusa Corp.

Key Developments:

In November 2023, Accenture announced partnership with Vodafone Group Plc to commercialize Vodafone's shared operations to accelerate growth, enhance customer service and drive significant efficiencies for Vodafone's operating companies and partner markets, as well as create new career opportunities for its people.

In September 2023, Microsoft and Oracle expand partnership to deliver oracle database services on oracle cloud infrastructure in microsoft azure.

In May 2023, Microsoft Corporation and Fujitsu Limited announced partnership to significantly expand their existing collaboration. The agreement, which will involve investment by both companies to drive the expansion of Fujitsu's multibillion dollar Uvance business, leverages the Microsoft Cloud and industry-leading technologies to digitally transform how organizations around the world develop more sustainable practices and solutions that address societal needs, and unlock new streams of business growth.

In June 2022, Oracle announced partnership with Kyndryl the world's largest IT infrastructure services provider to help customers accelerate their journey to the cloud by delivering managed cloud solutions to enterprises around the world.

Types Covered:

  • Direct Data Monetization
  • Indirect Data Monetization

Data Types Covered:

  • Patient Demographics
  • Electronic Health Records
  • Claims and Billing Data
  • Pharmaceutical Research Data
  • Clinical Data
  • Other Data Types

Deployment Types Covered:

  • On-Premise
  • Cloud

Applications Covered:

  • Disease Surveillance and Outbreak Prediction
  • Clinical Trial Optimization
  • Precision Medicine
  • Predictive Analytics for Healthcare
  • Health Policy and Regulation
  • Healthcare Marketing and Sales
  • Other Applications

End Users Covered:

  • Pharmaceutical & Biotechnology Companies
  • Healthcare Payers
  • Healthcare Providers
  • Medical Technology Companies
  • Research Institutions
  • Government Agencies
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Healthcare Data Monetization Market, By Type

  • 5.1 Introduction
  • 5.2 Direct Data Monetization
  • 5.3 Indirect Data Monetization

6 Global Healthcare Data Monetization Market, By Data Type

  • 6.1 Introduction
  • 6.2 Patient Demographics
  • 6.3 Electronic Health Records
  • 6.4 Claims and Billing Data
  • 6.5 Pharmaceutical Research Data
  • 6.6 Clinical Data
  • 6.7 Other Data Types

7 Global Healthcare Data Monetization Market, By Deployment Type

  • 7.1 Introduction
  • 7.2 On-Premise
  • 7.3 Cloud

8 Global Healthcare Data Monetization Market, By Application

  • 8.1 Introduction
  • 8.2 Disease Surveillance and Outbreak Prediction
  • 8.3 Clinical Trial Optimization
  • 8.4 Precision Medicine
  • 8.5 Predictive Analytics for Healthcare
  • 8.6 Health Policy and Regulation
  • 8.7 Healthcare Marketing and Sales
  • 8.8 Other Applications

9 Global Healthcare Data Monetization Market, By End User

  • 9.1 Introduction
  • 9.2 Pharmaceutical & Biotechnology Companies
  • 9.3 Healthcare Payers
  • 9.4 Healthcare Providers
  • 9.5 Medical Technology Companies
  • 9.6 Research Institutions
  • 9.7 Government Agencies
  • 9.8 Other End Users

10 Global Healthcare Data Monetization Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Oracle Corporation
  • 12.2 Google
  • 12.3 Microsoft Corporation
  • 12.4 SAS Institute Inc.
  • 12.5 Salesforce, Inc.
  • 12.6 Sisense Inc.
  • 12.7 TIBCO Software Inc.
  • 12.8 Informatica Inc.
  • 12.9 Infosys Limited
  • 12.10 Accenture Plc
  • 12.11 OpenText Corporation
  • 12.12 Siemens
  • 12.13 Virtusa Corp

List of Tables

  • Table 1 Global Healthcare Data Monetization Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Healthcare Data Monetization Market Outlook, By Type (2021-2030) ($MN)
  • Table 3 Global Healthcare Data Monetization Market Outlook, By Direct Data Monetization (2021-2030) ($MN)
  • Table 4 Global Healthcare Data Monetization Market Outlook, By Indirect Data Monetization (2021-2030) ($MN)
  • Table 5 Global Healthcare Data Monetization Market Outlook, By Data Type (2021-2030) ($MN)
  • Table 6 Global Healthcare Data Monetization Market Outlook, By Patient Demographics (2021-2030) ($MN)
  • Table 7 Global Healthcare Data Monetization Market Outlook, By Electronic Health Records (2021-2030) ($MN)
  • Table 8 Global Healthcare Data Monetization Market Outlook, By Claims and Billing Data (2021-2030) ($MN)
  • Table 9 Global Healthcare Data Monetization Market Outlook, By Pharmaceutical Research Data (2021-2030) ($MN)
  • Table 10 Global Healthcare Data Monetization Market Outlook, By Clinical Data (2021-2030) ($MN)
  • Table 11 Global Healthcare Data Monetization Market Outlook, By Other Data Types (2021-2030) ($MN)
  • Table 12 Global Healthcare Data Monetization Market Outlook, By Deployment Type (2021-2030) ($MN)
  • Table 13 Global Healthcare Data Monetization Market Outlook, By On-Premise (2021-2030) ($MN)
  • Table 14 Global Healthcare Data Monetization Market Outlook, By Cloud (2021-2030) ($MN)
  • Table 15 Global Healthcare Data Monetization Market Outlook, By Application (2021-2030) ($MN)
  • Table 16 Global Healthcare Data Monetization Market Outlook, By Disease Surveillance and Outbreak Prediction (2021-2030) ($MN)
  • Table 17 Global Healthcare Data Monetization Market Outlook, By Clinical Trial Optimization (2021-2030) ($MN)
  • Table 18 Global Healthcare Data Monetization Market Outlook, By Precision Medicine (2021-2030) ($MN)
  • Table 19 Global Healthcare Data Monetization Market Outlook, By Predictive Analytics for Healthcare (2021-2030) ($MN)
  • Table 20 Global Healthcare Data Monetization Market Outlook, By Health Policy and Regulation (2021-2030) ($MN)
  • Table 21 Global Healthcare Data Monetization Market Outlook, By Healthcare Marketing and Sales (2021-2030) ($MN)
  • Table 22 Global Healthcare Data Monetization Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 23 Global Healthcare Data Monetization Market Outlook, By End User (2021-2030) ($MN)
  • Table 24 Global Healthcare Data Monetization Market Outlook, By Pharmaceutical & Biotechnology Companies (2021-2030) ($MN)
  • Table 25 Global Healthcare Data Monetization Market Outlook, By Healthcare Payers (2021-2030) ($MN)
  • Table 26 Global Healthcare Data Monetization Market Outlook, By Healthcare Providers (2021-2030) ($MN)
  • Table 27 Global Healthcare Data Monetization Market Outlook, By Medical Technology Companies (2021-2030) ($MN)
  • Table 28 Global Healthcare Data Monetization Market Outlook, By Research Institutions (2021-2030) ($MN)
  • Table 29 Global Healthcare Data Monetization Market Outlook, By Government Agencies (2021-2030) ($MN)
  • Table 30 Global Healthcare Data Monetization Market Outlook, By Other End Users (2021-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.