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醫療保健市場資料收益的市場規模、佔有率和趨勢分析報告：按方法、組織規模、最終用戶、地區和細分市場進行預測，2023-2030 年
市場調查報告書
商品編碼
1363503

醫療保健市場資料收益的市場規模、佔有率和趨勢分析報告：按方法、組織規模、最終用戶、地區和細分市場進行預測，2023-2030 年

Data Monetization In Healthcare Market Size, Share & Trends Analysis Report By Method (Data As A Service, Insight As A Service, Embedded Analytics), By Organization Size, By End Users, By Region, And Segment Forecasts, 2023 - 2030
出版日期: | 出版商: Grand View Research | 英文 140 Pages | 商品交期: 2-10個工作天內

價格

醫療保健市場資料收益的成長與趨勢：

根據Grand View Research, Inc.最新報告，預計2023年至2030年全球醫療保健市場資料收益市場規模將以18.8%的年複合成長率成長，到2030年將達到16.194億美元。

電子健康記錄(EHR) 的採用增加、高級分析的投資以及精準醫療中人工智慧 (AI) 的採用增加推動了醫療保健市場資料收益的成長。透過將資料收益平台與醫療記錄，特別電子健康記錄（EHR）相結合，用戶可以從基因序列變異和藥物研發管道分析等資料集中以及資料收益市場中獲得洞察。此外，資料分析工具可讓醫療保健組織從現有資料中得出可操作的結果，這些結果可用於開發先進的產品和服務或改進現有服務。例如，醫療資料即服務 (mDaaS) 是一種雲端基礎的解決方案，它：

雲端基礎的解決方案使醫療保健組織能夠儲存、管理和分析資料，同時釋放新的價值範例。預計這些關鍵要素將在預測期內推動醫療保健市場資料收益的成長。

醫療保健資料收益市場的公司正在採取積極措施，以應對不斷變化的最終用途需求，並為自然語言處理（NLP）和基於人工智慧的資料收益解決方案帶來革命性的變化。我們正在進行投資。例如，2022 年 10 月，醫療保健技術公司 John Snow Labs 宣布改進其資料去識別解決方案，以幫助醫療保健公司更好地收益資料貨幣化。改進後的解決方案透過從患者資料庫中刪除受保護的健康資訊(PHI) 來與製藥公司和其他醫療保健公司共用資料以用於研究目的，從而滿足嚴格的法規和法律要求。確保合規性。改進的解決方案中包含的資料擷取工具可以使用 NLP 演算法自動去識別 PHI。在預測期內，此類發展可能會進一步推動醫療保健市場的資料收益。

醫療保健公司在嘗試將資料商業化同時遵守《健康保險互通性和課責法案》(HIPAA) 時面臨著一些障礙和限制。個人可能擔心其個人健康資訊的隱私、安全、潛在濫用和商業性利用。透過優先考慮資料安全和隱私，公司正在添加新技術來自動化、加速和改進其業務，包括機器學習 (ML)、人工智慧 (AI)、巨量資料分析和物聯網 (IoT)。 。考慮到這些技術需要更多的儲存空間和運算能力，雲端運算提供了一種簡單的解決方案來整合這些技術。這些要素可能會在預測期內進一步推動醫療保健市場的資料收益。

醫療保健市場的資料收益，報告亮點：

  • 從 2023 年到 2030 年，支援分析的平台即服務細分市場預計將以 20.6% 的年複合成長率成長。分析允許負責人根據線上活動或特定人口統計特徵建立資料並細分客戶群。政府和企業為加速機器學習、業務分析和人工智慧等先進技術而採取的舉措，再加上雲端基礎的技術的持續採用，將推動整個醫療保健行業支持分析的平台和服務的可用性。採用的需求。
  • 預計 2023 年至 2030 年，中小企業 (SME) 領域的年複合成長率將達到 22.3%。資料量正在顯著增加。透過利用這一點，公司有機會開發新的臨床開發方法。此外，透過利用預測建模和機器學習等先進分析技術，公司可以提供見解並在挑戰發生之前對其進行預測。分析提供的這些好處預計將補充預測期內中小企業對資料收益服務的需求。
  • 預計 2023 年至 2030 年，醫療保健領域將以 20.6% 的年複合成長率成長。隨著醫療保健數位化，醫療保健公司正在利用資料收益作為更廣泛的數位轉型計畫的一部分。這使我們能夠利用資料分析、人工智慧和其他先進技術的力量來推動創新。
  • 亞太地區醫療保健市場的資料收益預計在預測期內將以 20.7% 的年複合成長率成長最快。該地區的成長歸因於醫療保健分析平台中擴大使用來自穿戴式裝置和其他數位裝置的外部資料來源、企業中巨量資料的快速發展以及網路技術的不斷進步。

目錄

第1章 調查方法和範圍

第2章 執行摘要

第3章 醫療保健市場資料收益的變數、趨勢和範圍

  • 市場體系預測
  • 產業價值鏈分析
  • 市場動態
    • 市場促進因素分析
    • 市場抑制因素/挑戰分析
    • 市場機會分析
  • 商業環境分析工具
    • 波特五力分析
    • PEST分析
  • COVID-19 影響分析

第4章 醫療保健市場的資料收益，方法預測

  • 2022 年和 2030 年醫療保健資料收益方法的市場佔有率
  • 資料即服務
  • 洞察即服務
  • 支援分析的平台即服務
  • 嵌入式分析

第5章 醫療保健市場的資料收益，組織規模預測

  • 2022 年和 2030 年按組織規模分類的醫療保健市場佔有率
  • 主要企業
  • 中小企業

第6章 醫療保健市場的資料收益，最終用戶預測

  • 2022 年和 2030 年醫療保健市場中最終用途的資料收益佔有率
  • 製藥和生物技術公司
  • 相關人員
  • 醫療科技公司
  • 其他

第7章 醫療保健市場資料收益，依地區預測

  • 2022 年和 2030 年醫療保健市場資料收益的區域佔有率
  • 北美洲
    • 2018-2030 年市場估計與預測
    • 依方法分，2018-2030
    • 按組織規模分類，2018-2030
    • 按最終用途分類，2018-2030
    • 美國
    • 加拿大
  • 歐洲
    • 2018-2030 年市場估計與預測
    • 依方法分，2018-2030
    • 按組織規模分類，2018-2030
    • 按最終用途分類，2018-2030
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
  • 亞太地區
    • 2018-2030 年市場估計與預測
    • 依方法分，2018-2030
    • 按組織規模分類，2018-2030
    • 按最終用途分類，2018-2030
    • 中國
    • 印度
    • 日本
    • 澳洲
    • 韓國
  • 拉丁美洲
    • 2018-2030 年市場估計與預測
    • 依方法分，2018-2030
    • 按組織規模分類，2018-2030
    • 按最終用途分類，2018-2030
    • 巴西
    • 墨西哥
    • 阿根廷
  • 中東和非洲
    • 2018-2030 年市場估計與預測
    • 依方法分，2018-2030
    • 按組織規模分類，2018-2030
    • 按最終用途分類，2018-2030
    • 阿拉伯聯合大公國
    • 沙烏地阿拉伯
    • 南非

第8章 競爭形勢

  • 公司分類（成熟公司、新興企業）
  • 2022 年公司排名/佔有率分析
  • 策略規劃
  • 公司簡介（公司概況、績效、產品概況、策略配合措施）
    • Accenture Plc
    • H1
    • Infor
    • Informatica Inc.
    • Infosys Limited
    • Innovaccer, Inc.
    • Microsoft Corporation
    • OpenText Corporation
    • Oracle Corporation
    • Salesforce, Inc.
    • SAP SE
    • SAS Institute Inc.
    • Siemens
    • TIBCO Software Inc.
    • Virtusa Corp.
Product Code: GVR-4-68040-125-3

Data Monetization In Healthcare Market Growth & Trends:

The global data monetization in healthcare market size is estimated to reach USD 1,619.4 million by 2030, expanding at a CAGR of 18.8% from 2023 to 2030 , according to a new report by Grand View Research, Inc.. The growth of data monetization in the healthcare market can be attributed to the growing adoption of Electronic Health Records (EHR), investments in advanced analytics, and the growing adoption of Artificial Intelligence (AI) in precision medicine. Users can receive insights from massive datasets such as genetic sequence variants and drug discovery pipeline analytics by combining data monetization platforms with medical records, particularly Electronic Health Records (EHR), creating robust opportunities for healthcare data monetization market. Further, by leveraging data analytics tools, healthcare organizations can get actionable results from their existing data, which can be used to develop advanced products and services and improve existing ones. For instance, Medical Data as a Service (mDaaS) is a cloud-based solution that allows healthcare organizations to store, manage, and analyze data while unlocking new value paradigms. These key factors are expected to drive data monetization growth in the healthcare market over the forecast period.

The companies operating in the healthcare data monetization market are responding to changing end-use requirements and investing aggressively in bringing revolutionary changes to their Natural Language Processing (NLP)- and AI-based data monetization solutions. For instance, in October 2022, Healthcare technology company John Snow Labs announced improvements to its data de-identification solution to assist healthcare companies in enhancing data monetization. The improved solution ensures strict compliance with regulatory and legal requirements by removing Protected Health Information (PHI) from patient databases to share the data with pharmaceutical and other healthcare companies for research purposes. The data extraction tools featured in the improved solution can automatically de-identify the PHI using NLP algorithms. Such developments would further drive data monetization in the healthcare market during the forecast period.

When attempting to commercialize data while following Health Insurance Portability and Accountability Act (HIPAA) laws, healthcare firms confront several obstacles and limits, the process of obtaining patient consent to use their personal health information can be difficult due to various circumstances. Individuals may be concerned about their personal health information's privacy, security, potential misuse, and commercial use. By prioritizing the security and privacy of data, companies are adding new technologies, such as Machine Learning (ML), Artificial Intelligence (AI), Big Data analytics, and the Internet of Things (IoT), that automate, speed up, and improve businesses. Considering that these technologies need more storage space and computational power, cloud computing provides an easy solution to integrate these technologies. Such factors would further drive data monetization in the healthcare market during the forecast period.

Data Monetization In Healthcare Market Report Highlights:

  • The analytics-enabled platform as a service segment is expected to register a CAGR of 20.6% from 2023 to 2030. With analytics, marketers can structure the data and segregate customer groups based on online activities and specific demographic features. Initiatives undertaken by governments and corporations to promote advanced technologies, such as machine learning, business analytics, and AI, coupled with continuous adoption of cloud-based technologies, are anticipated to fuel the demand for implementing analytics-enabled platforms and services across the healthcare industry
  • The Small & Medium Enterprises (SMEs) segment is expected to register a CAGR of 22.3% from 2023 to 2030. There has been huge growth in the volume of data. Harnessing this will provide an opportunity for businesses to develop new approaches to clinical development. Further, by leveraging advanced analytics methods, such as predictive modeling and ML, companies can provide insights and predict challenges before they occur. These benefits provided by analytics are expected to supplement the demand for data monetization services among SMEs over the forecast period
  • The healthcare players segment is expected to register a CAGR of 20.6% from 2023 to 2030. As healthcare becomes increasingly digitized, healthcare players are leveraging data monetization as part of their broader digital transformation initiatives. It enables them to harness the power of data analytics, artificial intelligence, and other advanced technologies to drive innovation
  • Asia Pacific healthcare data monetization market is anticipated to emerge as the fastest-growing over the forecast period at a CAGR of 20.7%. The regional growth can be attributed to the growing use of external data sources from wearables and other digital devices in healthcare analytics platforms, rapid advancements in big data among enterprises, and rising advancements in networking technologies

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Methodology Segmentation & Scope
  • 1.2. Information procurement
    • 1.2.1. Purchased database
    • 1.2.2. GVR's internal database
    • 1.2.3. Secondary sources & third-party perspectives
    • 1.2.4. Primary research
  • 1.3. Information analysis
    • 1.3.1. Data analysis models
  • 1.4. Market formulation & data visualization
  • 1.5. Data validation & publishing

Chapter 2. Executive Summary

  • 2.1. Data Monetization in Healthcare Market - Market Snapshot, 2018 - 2030
  • 2.2. Data Monetization in Healthcare Market - Method Snapshot, 2018 - 2030
  • 2.3. Data Monetization in Healthcare Market - Organization Size Snapshot, 2018 - 2030
  • 2.4. Data Monetization in Healthcare Market - End user Snapshot, 2018 - 2030
  • 2.5. Data Monetization in Healthcare Market - Competitive Snapshot

Chapter 3. Data Monetization in Healthcare Market Variables, Trends & Scope

  • 3.1. Market Lineage Outlook
  • 3.2. Industry Value Chain Analysis
  • 3.3. Market Dynamics
    • 3.3.1. Market Driver Analysis
    • 3.3.2. Market Restraint/Challenge Analysis
    • 3.3.3. Market Opportunity Analysis
  • 3.4. Business Environment Analysis Tools
    • 3.4.1. Porter's Five Forces Analysis
    • 3.4.2. PEST Analysis
  • 3.5. COVID-19 Impact Analysis

Chapter 4. Data Monetization in Healthcare Market Method Outlook

  • 4.1. Data Monetization in Healthcare Market Share by Method, 2022 & 2030 (USD Million)
  • 4.2. Data as a Service
    • 4.2.1. Market size estimates and forecasts, 2018 - 2030 (USD Million)
  • 4.3. Insight as a Service
    • 4.3.1. Market estimates and forecast, 2018 - 2030 (USD Million)
  • 4.4. Analytics-enabled Platform as a Service
    • 4.4.1. Market estimates and forecast, 2018 - 2030 (USD Million)
  • 4.5. Embedded Analytics
    • 4.5.1. Market estimates and forecast, 2018 - 2030 (USD Million)

Chapter 5. Data Monetization in Healthcare Market Organization Size Outlook

  • 5.1. Data Monetization in Healthcare Market Share by Organization Size, 2022 & 2030 (USD Million)
  • 5.2. Large Enterprises
    • 5.2.1. Market estimates and forecast, 2018 - 2030 (USD Million)
  • 5.3. Small and Medium-sized Enterprises
    • 5.3.1. Market size estimates and forecasts, 2018 - 2030 (USD Million)

Chapter 6. Data Monetization in Healthcare Market End user Outlook

  • 6.1. Data Monetization in Healthcare Market Share by End User, 2022 & 2030 (USD Million)
  • 6.2. Pharmaceutical and Biotechnology Companies
    • 6.2.1. Market size estimates and forecasts, 2018 - 2030 (USD Million)
  • 6.3. Healthcare Players
    • 6.3.1. Market estimates and forecast, 2018 - 2030 (USD Million)
  • 6.4. Medical Technology Companies
    • 6.4.1. Market size estimates and forecasts, 2018 - 2030 (USD Million)
  • 6.5. Others
    • 6.5.1. Market estimates and forecast, 2018 - 2030 (USD Million)

Chapter 7. Data Monetization in Healthcare Market: Regional Outlook

  • 7.1. Data Monetization in Healthcare Market Share by Region, 2022 & 2030 (USD Million)
  • 7.2. North America
    • 7.2.1. Market estimates and forecast, 2018 - 2030 (USD Million)
    • 7.2.2. Market estimates and forecast by method, 2018 - 2030 (USD Million)
    • 7.2.3. Market estimates and forecast by organization size, 2018 - 2030 (USD Million)
    • 7.2.4. Market estimates and forecast by end user, 2018 - 2030 (USD Million)
    • 7.2.5. U.S.
      • 7.2.5.1. Market estimates and forecast, 2018 - 2030 (USD Million)
      • 7.2.5.2. Market estimates and forecast by method, 2018 - 2030 (USD Million)
      • 7.2.5.3. Market estimates and forecast by organization size, 2018 - 2030 (USD Million)
      • 7.2.5.4. Market estimates and forecast by end user, 2018 - 2030 (USD Million)
    • 7.2.6. Canada
      • 7.2.6.1. Market estimates and forecast, 2018 - 2030 (USD Million)
      • 7.2.6.2. Market estimates and forecast by method, 2018 - 2030 (USD Million)
      • 7.2.6.3. Market estimates and forecast by organization size, 2018 - 2030 (USD Million)
      • 7.2.6.4. Market estimates and forecast by end user, 2018 - 2030 (USD Million)
  • 7.3. Europe
    • 7.3.1. Market estimates and forecast, 2018 - 2030 (USD Million)
    • 7.3.2. Market estimates and forecast by method, 2018 - 2030 (USD Million)
    • 7.3.3. Market estimates and forecast by organization size, 2018 - 2030 (USD Million)
    • 7.3.4. Market estimates and forecast by end user, 2018 - 2030 (USD Million)
    • 7.3.5. U.K.
      • 7.3.5.1. Market estimates and forecast, 2018 - 2030 (USD Million)
      • 7.3.5.2. Market estimates and forecast by method, 2018 - 2030 (USD Million)
      • 7.3.5.3. Market estimates and forecast by organization size, 2018 - 2030 (USD Million)
      • 7.3.5.4. Market estimates and forecast by end user, 2018 - 2030 (USD Million)
    • 7.3.6. Germany
      • 7.3.6.1. Market estimates and forecast, 2018 - 2030 (USD Million)
      • 7.3.6.2. Market estimates and forecast by method, 2018 - 2030 (USD Million)
      • 7.3.6.3. Market estimates and forecast by organization size, 2018 - 2030 (USD Million)
      • 7.3.6.4. Market estimates and forecast by end user, 2018 - 2030 (USD Million)
    • 7.3.7. France
      • 7.3.7.1. Market estimates and forecast, 2018 - 2030 (USD Million)
      • 7.3.7.2. Market estimates and forecast by method, 2018 - 2030 (USD Million)
      • 7.3.7.3. Market estimates and forecast by organization size, 2018 - 2030 (USD Million)
      • 7.3.7.4. Market estimates and forecast by end user, 2018 - 2030 (USD Million)
    • 7.3.8. Italy
      • 7.3.8.1. Market estimates and forecast, 2018 - 2030 (USD Million)
      • 7.3.8.2. Market estimates and forecast by method, 2018 - 2030 (USD Million)
      • 7.3.8.3. Market estimates and forecast by organization size, 2018 - 2030 (USD Million)
      • 7.3.8.4. Market estimates and forecast by end user, 2018 - 2030 (USD Million)
    • 7.3.9. Spain
      • 7.3.9.1. Market estimates and forecast, 2018 - 2030 (USD Million)
      • 7.3.9.2. Market estimates and forecast by method, 2018 - 2030 (USD Million)
      • 7.3.9.3. Market estimates and forecast by organization size, 2018 - 2030 (USD Million)
      • 7.3.9.4. Market estimates and forecast by end user, 2018 - 2030 (USD Million)
  • 7.4. Asia Pacific
    • 7.4.1. Market estimates and forecast, 2018 - 2030 (USD Million)
    • 7.4.2. Market estimates and forecast by method, 2018 - 2030 (USD Million)
    • 7.4.3. Market estimates and forecast by organization size, 2018 - 2030 (USD Million)
    • 7.4.4. Market estimates and forecast by end user, 2018 - 2030 (USD Million)
    • 7.4.5. China
      • 7.4.5.1. Market estimates and forecast, 2018 - 2030 (USD Million)
      • 7.4.5.2. Market estimates and forecast by method, 2018 - 2030 (USD Million)
      • 7.4.5.3. Market estimates and forecast by organization size, 2018 - 2030 (USD Million)
      • 7.4.5.4. Market estimates and forecast by end user, 2018 - 2030 (USD Million)
    • 7.4.6. India
      • 7.4.6.1. Market estimates and forecast, 2018 - 2030 (USD Million)
      • 7.4.6.2. Market estimates and forecast by method, 2018 - 2030 (USD Million)
      • 7.4.6.3. Market estimates and forecast by organization size, 2018 - 2030 (USD Million)
      • 7.4.6.4. Market estimates and forecast by end user, 2018 - 2030 (USD Million)
    • 7.4.7. Japan
      • 7.4.7.1. Market estimates and forecast, 2018 - 2030 (USD Million)
      • 7.4.7.2. Market estimates and forecast by method, 2018 - 2030 (USD Million)
      • 7.4.7.3. Market estimates and forecast by organization size, 2018 - 2030 (USD Million)
      • 7.4.7.4. Market estimates and forecast by end user, 2018 - 2030 (USD Million)
    • 7.4.8. Australia
      • 7.4.8.1. Market estimates and forecast, 2018 - 2030 (USD Million)
      • 7.4.8.2. Market estimates and forecast by method, 2018 - 2030 (USD Million)
      • 7.4.8.3. Market estimates and forecast by organization size, 2018 - 2030 (USD Million)
      • 7.4.8.4. Market estimates and forecast by end user, 2018 - 2030 (USD Million)
    • 7.4.9. South Korea
      • 7.4.9.1. Market estimates and forecast, 2018 - 2030 (USD Million)
      • 7.4.9.2. Market estimates and forecast by method, 2018 - 2030 (USD Million)
      • 7.4.9.3. Market estimates and forecast by organization size, 2018 - 2030 (USD Million)
      • 7.4.9.4. Market estimates and forecast by end user, 2018 - 2030 (USD Million)
  • 7.5. Latin America
    • 7.5.1. Market estimates and forecast, 2018 - 2030 (USD Million)
    • 7.5.2. Market estimates and forecast by method, 2018 - 2030 (USD Million)
    • 7.5.3. Market estimates and forecast by organization size, 2018 - 2030 (USD Million)
    • 7.5.4. Market estimates and forecast by end user, 2018 - 2030 (USD Million)
    • 7.5.5. Brazil
      • 7.5.5.1. Market estimates and forecast, 2018 - 2030 (USD Million)
      • 7.5.5.2. Market estimates and forecast by method, 2018 - 2030 (USD Million)
      • 7.5.5.3. Market estimates and forecast by organization size, 2018 - 2030 (USD Million)
      • 7.5.5.4. Market estimates and forecast by end user, 2018 - 2030 (USD Million)
    • 7.5.6. Mexico
      • 7.5.6.1. Market estimates and forecast, 2018 - 2030 (USD Million)
      • 7.5.6.2. Market estimates and forecast by method, 2018 - 2030 (USD Million)
      • 7.5.6.3. Market estimates and forecast by organization size, 2018 - 2030 (USD Million)
      • 7.5.6.4. Market estimates and forecast by end user, 2018 - 2030 (USD Million)
    • 7.5.7. Argentina
      • 7.5.7.1. Market estimates and forecast, 2018 - 2030 (USD Million)
      • 7.5.7.2. Market estimates and forecast by method, 2018 - 2030 (USD Million)
      • 7.5.7.3. Market estimates and forecast by organization size, 2018 - 2030 (USD Million)
      • 7.5.7.4. Market estimates and forecast by end user, 2018 - 2030 (USD Million)
  • 7.6. Middle East & Africa
    • 7.6.1. Market estimates and forecast, 2018 - 2030 (USD Million)
    • 7.6.2. Market estimates and forecast by method, 2018 - 2030 (USD Million)
    • 7.6.3. Market estimates and forecast by organization size, 2018 - 2030 (USD Million)
    • 7.6.4. Market estimates and forecast by end user, 2018 - 2030 (USD Million)
    • 7.6.5. UAE
      • 7.6.5.1. Market estimates and forecast, 2018 - 2030 (USD Million)
      • 7.6.5.2. Market estimates and forecast by method, 2018 - 2030 (USD Million)
      • 7.6.5.3. Market estimates and forecast by organization size, 2018 - 2030 (USD Million)
      • 7.6.5.4. Market estimates and forecast by end user, 2018 - 2030 (USD Million)
    • 7.6.6. Saudi Arabia
      • 7.6.6.1. Market estimates and forecast, 2018 - 2030 (USD Million)
      • 7.6.6.2. Market estimates and forecast by method, 2018 - 2030 (USD Million)
      • 7.6.6.3. Market estimates and forecast by organization size, 2018 - 2030 (USD Million)
      • 7.6.6.4. Market estimates and forecast by end user, 2018 - 2030 (USD Million)
    • 7.6.7. South Africa
      • 7.6.7.1. Market estimates and forecast, 2018 - 2030 (USD Million)
      • 7.6.7.2. Market estimates and forecast by method, 2018 - 2030 (USD Million)
      • 7.6.7.3. Market estimates and forecast by organization size, 2018 - 2030 (USD Million)
      • 7.6.7.4. Market estimates and forecast by end user, 2018 - 2030 (USD Million)

Chapter 8. Competitive Landscape

  • 8.1. Company Categorization (Mature Players, Emerging Players)
  • 8.2. Company Ranking/Share Analysis, 2022
  • 8.3. Strategy Mapping
  • 8.4. Company Profiles (Overview, Financial Performance, Product Overview, Strategic Initiatives)
    • 8.4.1. Accenture Plc
    • 8.4.2. H1
    • 8.4.3. Infor
    • 8.4.4. Informatica Inc.
    • 8.4.5. Infosys Limited
    • 8.4.6. Innovaccer, Inc.
    • 8.4.7. Microsoft Corporation
    • 8.4.8. OpenText Corporation
    • 8.4.9. Oracle Corporation
    • 8.4.10. Salesforce, Inc.
    • 8.4.11. SAP SE
    • 8.4.12. SAS Institute Inc.
    • 8.4.13. Siemens
    • 8.4.14. TIBCO Software Inc.
    • 8.4.15. Virtusa Corp.

List of Tables

  • Table 1 List of Abbreviation
  • Table 2 Global Data Monetization in Healthcare market, 2018 - 2030 (USD Million)
  • Table 3 Global Data Monetization in Healthcare market, by region, 2018 - 2030 (USD Million)
  • Table 4 Global Data Monetization in Healthcare market, by method, 2018 - 2030 (USD Million)
  • Table 5 Global Data Monetization in Healthcare market, by organization size, 2018 - 2030 (USD Million)
  • Table 6 Global Data Monetization in Healthcare market, by end user, 2018 - 2030 (USD Million)
  • Table 7 North America Data Monetization in Healthcare market, by method 2018 - 2030 (USD Million)
  • Table 8 North America Data Monetization in Healthcare market, by organization size 2018 - 2030 (USD Million)
  • Table 9 North America Data Monetization in Healthcare market, by end user 2018 - 2030 (USD Million)
  • Table 10 US Data Monetization in Healthcare market, by method 2018 - 2030 (USD Million)
  • Table 11 US Data Monetization in Healthcare market, by organization size 2018 - 2030 (USD Million)
  • Table 12 US Data Monetization in Healthcare market, by end user 2018 - 2030 (USD Million)
  • Table 13 Canada Data Monetization in Healthcare market, by method 2018 - 2030 (USD Million)
  • Table 14 Canada Data Monetization in Healthcare market, by organization size 2018 - 2030 (USD Million)
  • Table 15 Canada Data Monetization in Healthcare market, by end user 2018 - 2030 (USD Million)
  • Table 16 Europe Data Monetization in Healthcare market, by method 2018 - 2030 (USD Million)
  • Table 17 Europe Data Monetization in Healthcare market, by organization size 2018 - 2030 (USD Million)
  • Table 18 Europe Data Monetization in Healthcare market, by end user 2018 - 2030 (USD Million)
  • Table 19 UK Data Monetization in Healthcare market, by method 2018 - 2030 (USD Million)
  • Table 20 UK Data Monetization in Healthcare market, by organization size 2018 - 2030 (USD Million)
  • Table 21 UK Data Monetization in Healthcare market, by end user 2018 - 2030 (USD Million)
  • Table 22 Germany Data Monetization in Healthcare market, by method 2018 - 2030 (USD Million)
  • Table 23 Germany Data Monetization in Healthcare market, by organization size 2018 - 2030 (USD Million)
  • Table 24 Germany Data Monetization in Healthcare market, by end user 2018 - 2030 (USD Million)
  • Table 25 France Data Monetization in Healthcare market, by method 2018 - 2030 (USD Million)
  • Table 26 France Data Monetization in Healthcare market, by organization size 2018 - 2030 (USD Million)
  • Table 27 France Data Monetization in Healthcare market, by end user 2018 - 2030 (USD Million)
  • Table 28 Italy Data Monetization in Healthcare market, by method 2018 - 2030 (USD Million)
  • Table 29 Italy Data Monetization in Healthcare market, by organization size 2018 - 2030 (USD Million)
  • Table 30 Italy Data Monetization in Healthcare market, by end user 2018 - 2030 (USD Million)
  • Table 31 Spain Data Monetization in Healthcare market, by method 2018 - 2030 (USD Million)
  • Table 32 Spain Data Monetization in Healthcare market, by organization size 2018 - 2030 (USD Million)
  • Table 33 Spain Data Monetization in Healthcare market, by end user 2018 - 2030 (USD Million)
  • Table 34 Asia Pacific Data Monetization in Healthcare market, by method 2018 - 2030 (USD Million)
  • Table 35 Asia Pacific Data Monetization in Healthcare market, by organization size 2018 - 2030 (USD Million)
  • Table 36 Asia Pacific Data Monetization in Healthcare market, by end user 2018 - 2030 (USD Million)
  • Table 37 China Data Monetization in Healthcare market, by method 2018 - 2030 (USD Million)
  • Table 38 China Data Monetization in Healthcare market, by organization size 2018 - 2030 (USD Million)
  • Table 39 China Data Monetization in Healthcare market, by end user 2018 - 2030 (USD Million)
  • Table 40 India Data Monetization in Healthcare market, by method 2018 - 2030 (USD Million)
  • Table 41 India Data Monetization in Healthcare market, by organization size 2018 - 2030 (USD Million)
  • Table 42 India Data Monetization in Healthcare market, by end user 2018 - 2030 (USD Million)
  • Table 43 Japan Data Monetization in Healthcare market, by method 2018 - 2030 (USD Million)
  • Table 44 Japan Data Monetization in Healthcare market, by organization size 2018 - 2030 (USD Million)
  • Table 45 Japan Data Monetization in Healthcare market, by end user 2018 - 2030 (USD Million)
  • Table 46 Australia Data Monetization in Healthcare market, by method 2018 - 2030 (USD Million)
  • Table 47 Australia Data Monetization in Healthcare market, by organization size 2018 - 2030 (USD Million)
  • Table 48 Australia Data Monetization in Healthcare market, by end user 2018 - 2030 (USD Million)
  • Table 49 South Korea Data Monetization in Healthcare market, by method 2018 - 2030 (USD Million)
  • Table 50 South Korea Data Monetization in Healthcare market, by organization size 2018 - 2030 (USD Million)
  • Table 51 South Korea Data Monetization in Healthcare market, by end user 2018 - 2030 (USD Million)
  • Table 52 Latin America Data Monetization in Healthcare market, by method 2018 - 2030 (USD Million)
  • Table 53 Latin America Data Monetization in Healthcare market, by organization size 2018 - 2030 (USD Million)
  • Table 54 Latin America Data Monetization in Healthcare market, by end user 2018 - 2030 (USD Million)
  • Table 55 Brazil Data Monetization in Healthcare market, by method 2018 - 2030 (USD Million)
  • Table 56 Brazil Data Monetization in Healthcare market, by organization size 2018 - 2030 (USD Million)
  • Table 57 Brazil Data Monetization in Healthcare market, by end user 2018 - 2030 (USD Million)
  • Table 58 Mexico Data Monetization in Healthcare market, by method 2018 - 2030 (USD Million)
  • Table 59 Mexico Data Monetization in Healthcare market, by organization size 2018 - 2030 (USD Million)
  • Table 60 Mexico Data Monetization in Healthcare market, by end user 2018 - 2030 (USD Million)
  • Table 61 Argentina Data Monetization in Healthcare market, by method 2018 - 2030 (USD Million)
  • Table 62 Argentina Data Monetization in Healthcare market, by organization size 2018 - 2030 (USD Million)
  • Table 63 Argentina Data Monetization in Healthcare market, by end user 2018 - 2030 (USD Million)
  • Table 64 MEA Data Monetization in Healthcare market, by method 2018 - 2030 (USD Million)
  • Table 65 MEA Data Monetization in Healthcare market, by organization size 2018 - 2030 (USD Million)
  • Table 66 MEA Data Monetization in Healthcare market, by end user 2018 - 2030 (USD Million)
  • Table 67 UAE Data Monetization in Healthcare market, by method 2018 - 2030 (USD Million)
  • Table 68 UAE Data Monetization in Healthcare market, by organization size 2018 - 2030 (USD Million)
  • Table 69 UAE Data Monetization in Healthcare market, by end user 2018 - 2030 (USD Million)
  • Table 70 Saudi Arabia Data Monetization in Healthcare market, by method 2018 - 2030 (USD Million)
  • Table 71 Saudi Arabia Data Monetization in Healthcare market, by organization size 2018 - 2030 (USD Million)
  • Table 72 Saudi Arabia Data Monetization in Healthcare market, by end user 2018 - 2030 (USD Million)
  • Table 73 South Africa Data Monetization in Healthcare market, by method 2018 - 2030 (USD Million)
  • Table 74 South Africa Data Monetization in Healthcare market, by organization size 2018 - 2030 (USD Million)
  • Table 75 South Africa Data Monetization in Healthcare market, by end user 2018 - 2030 (USD Million)

List of Figures

  • Fig. 1 Data Monetization in Healthcare market segmentation
  • Fig. 2 Methodology
  • Fig. 3 Primary Research Pattern
  • Fig. 4 Information analysis
  • Fig. 5 Data Analysis Model
  • Fig. 6 Data Validation & Publishing
  • Fig. 7 Data Monetization in Healthcare: Market Snapshot
  • Fig. 8 Data Monetization in Healthcare: Segment Snapshot
  • Fig. 9 Data Monetization in Healthcare: Competitive Landscape Snapshot
  • Fig. 10 Data Monetization in Healthcare Market Lineage Outlook
  • Fig. 11 Data Monetization in Healthcare market: Value chain analysis
  • Fig. 12 Market driver analysis
  • Fig. 13 Market restraint analysis
  • Fig. 14 Market opportunity analysis
  • Fig. 15 Data Monetization in Healthcare market: Porter's five forces analysis
  • Fig. 16 Data Monetization in Healthcare market: PEST analysis
  • Fig. 17 Data Monetization in Healthcare market analysis: Method segment analysis
  • Fig. 18 Data Monetization in Healthcare market analysis: Organization Size segment analysis
  • Fig. 19 Data Monetization in Healthcare market analysis: End user segment analysis