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表紙：ヘルスケア市場におけるデータ収益化の市場規模、シェア、動向分析レポート：手法別、組織規模別、エンドユーザー別、地域別、セグメント別予測、2023年～2030年
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ヘルスケア市場におけるデータ収益化の市場規模、シェア、動向分析レポート：手法別、組織規模別、エンドユーザー別、地域別、セグメント別予測、2023年～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: | 発行: Grand View Research | ページ情報: 英文 140 Pages | 納期: 2～10営業日

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ヘルスケア市場におけるデータ収益化の市場規模、シェア、動向分析レポート：手法別、組織規模別、エンドユーザー別、地域別、セグメント別予測、2023年～2030年
出版日: 2023年09月21日
発行: Grand View Research
ページ情報: 英文 140 Pages
納期: 2～10営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

ヘルスケア市場におけるデータ収益化の成長と動向：

Grand View Research, Inc.の最新レポートによると、ヘルスケア市場におけるデータ収益化の世界市場規模は、2023年から2030年にかけて18.8％のCAGRで拡大し、2030年には16億1,940万米ドルに達すると推定されます。

ヘルスケア市場におけるデータ収益化の成長は、電子カルテ（EHR）の採用拡大、高度分析への投資、精密医療における人工知能（AI）の採用拡大に起因しています。ユーザーは、データ収益化プラットフォームを医療記録、特に電子カルテ（EHR）と組み合わせることで、遺伝子配列の変異体や創薬パイプライン分析などの膨大なデータセットから洞察を得ることができ、ヘルスケア市場におけるデータ収益化に確固たる機会を創出しています。さらに、データ分析ツールを活用することで、ヘルスケア組織は既存のデータから実用的な結果を得ることができ、それを高度な製品やサービスの開発や既存のサービスの改善に活用することができます。例えば、Medical Data as a Service（mDaaS）は以下のようなクラウドベースのソリューションです。

クラウドベースのソリューションで、ヘルスケア組織がデータを保存、管理、分析しながら、新たな価値パラダイムを解き放つことができます。このような主要な要因が、予測期間中、ヘルスケア市場におけるデータ収益化の成長を促進すると予想されます。

ヘルスケアデータ収益化市場で事業を展開する企業は、最終用途の要件の変化に対応し、自然言語処理（NLP）およびAIベースのデータ収益化ソリューションに革命的な変化をもたらすために積極的な投資を行っています。例えば、ヘルスケア技術企業のJohn Snow Labsは2022年10月、ヘルスケア企業のデータ収益化強化を支援するため、データ非識別化ソリューションの改良を発表しました。改善されたソリューションは、研究目的で製薬会社や他のヘルスケア企業とデータを共有するために、患者データベースから保護された医療情報（PHI）を除去することにより、規制および法的要件の厳格な遵守を保証します。改良されたソリューションに搭載されたデータ抽出ツールは、NLPアルゴリズムを使用してPHIを自動的に非特定化することができます。このような発展は、予測期間中のヘルスケア市場におけるデータ収益化をさらに促進すると思われます。

医療保険の相互運用性と説明責任に関する法律（HIPAA）に従いながらデータを商業化しようとする場合、ヘルスケア企業はいくつかの障害や制限に直面します。個人は、個人健康情報のプライバシー、セキュリティ、誤用の可能性、商業的利用を懸念するかもしれないです。データのセキュリティとプライバシーを優先することで、企業は機械学習（ML）、人工知能（AI）、ビッグデータ分析、モノのインターネット（IoT）など、ビジネスを自動化、スピードアップ、改善する新技術を追加しています。これらの技術がより多くのストレージスペースと計算能力を必要とすることを考慮すると、クラウド・コンピューティングはこれらの技術を統合するための簡単なソリューションを提供します。こうした要因は、予測期間中、ヘルスケア市場におけるデータ収益化をさらに促進すると思われます。

ヘルスケア市場におけるデータ収益化、レポートハイライト：

  • サービスとしてのアナリティクス対応プラットフォームセグメントは、2023年から2030年にかけてCAGR 20.6%で成長する見込みです。アナリティクスにより、マーケティング担当者はデータを構造化し、オンライン活動や特定の人口統計学的特徴に基づいて顧客グループを分別することができます。機械学習、ビジネスアナリティクス、AIなどの先進技術を促進するために政府や企業が行っているイニシアティブは、クラウドベースの技術の継続的な採用と相まって、ヘルスケア業界全体でアナリティクス対応のプラットフォームやサービスを導入する需要を促進すると予想されます。
  • 中小企業（SMEs）セグメントは、2023年から2030年にかけてCAGR 22.3％で成長すると予想されます。データ量は大幅に増加しています。これを活用することで、企業は臨床開発への新たなアプローチを開発する機会を得ることができます。さらに、予測モデリングやMLなどの高度なアナリティクス手法を活用することで、企業は洞察を提供し、課題が発生する前にそれを予測することができます。アナリティクスが提供するこうしたメリットは、予測期間中、中小企業におけるデータ収益化サービスの需要を補うと予想されます。
  • ヘルスケアプレーヤー分野は、2023年から2030年にかけてCAGR 20.6%で成長すると予測されます。ヘルスケアのデジタル化が進むにつれて、ヘルスケア企業はより広範なデジタルトランスフォーメーションイニシアチブの一環としてデータ収益化を活用しています。これにより、データ分析、人工知能、その他の先進技術の力を活用し、イノベーションを推進することが可能になります。
  • アジア太平洋地域のヘルスケア市場におけるデータ収益化は、予測期間中にCAGR 20.7%で最も急成長すると予測されています。この地域の成長は、ヘルスケア分析プラットフォームにおけるウェアラブルやその他のデジタル機器からの外部データソースの利用の増加、企業におけるビッグデータの急速な進歩、ネットワーク技術の進歩の高まりに起因しています。

目次

第1章 調査手法と範囲

第2章 エグゼクティブサマリー

第3章 ヘルスケア市場におけるデータ収益化の変数、動向、範囲

  • 市場系統の見通し
  • 業界のバリューチェーン分析
  • 市場力学
    • 市場促進要因の分析
    • 市場の抑制要因/課題の分析
    • 市場機会分析
  • ビジネス環境分析ツール
    • ポーターのファイブフォース分析
    • PEST分析
  • COVID-19の影響分析

第4章 ヘルスケア市場におけるデータ収益化、手法の見通し

  • ヘルスケアにおけるデータ収益化の手法別市場シェア、2022年および2030年
  • サービスとしてのデータ
  • サービスとしての洞察
  • 分析対応のサービスとしてのプラットフォーム
  • 埋め込み型分析

第5章 ヘルスケア市場におけるデータ収益化、組織規模の見通し

  • 組織規模別のヘルスケア市場シェア、2022年および2030年
  • 大企業
  • 中小企業

第6章 ヘルスケア市場におけるデータ収益化、エンドユーザーの見通し

  • ヘルスケア市場におけるデータ収益化の最終用途別シェア、2022年と2030年
  • 製薬会社およびバイオテクノロジー会社
  • ヘルスケア関係者
  • 医療技術企業
  • その他

第7章 ヘルスケア市場におけるデータ収益化、 地域別の見通し

  • ヘルスケア市場におけるデータ収益化の地域別シェア、2022年と2030年
  • 北米
    • 市場推計・予測、2018～2030年
    • 方法別、2018～2030年
    • 組織規模別、2018～2030年
    • 最終用途別、2018～2030年
    • 米国
    • カナダ
  • 欧州
    • 市場推計・予測、2018～2030年
    • 方法別、2018～2030年
    • 組織規模別、2018～2030年
    • 最終用途別、2018～2030年
    • 英国
    • ドイツ
    • フランス
    • イタリア
    • スペイン
  • アジア太平洋地域
    • 市場推計・予測、2018～2030年
    • 方法別、2018～2030年
    • 組織規模別、2018～2030年
    • 最終用途別、2018～2030年
    • 中国
    • インド
    • 日本
    • オーストラリア
    • 韓国
  • ラテンアメリカ
    • 市場推計・予測、2018～2030年
    • 方法別、2018～2030年
    • 組織規模別、2018～2030年
    • 最終用途別、2018～2030年
    • ブラジル
    • メキシコ
    • アルゼンチン
  • 中東とアフリカ
    • 市場推計・予測、2018～2030年
    • 方法別、2018～2030年
    • 組織規模別、2018～2030年
    • 最終用途別、2018～2030年
    • アラブ首長国連邦
    • サウジアラビア
    • 南アフリカ

第8章 競合情勢

  • 企業の分類（成熟企業、新興企業）
  • 企業ランキング/シェア分析、2022年
  • 戦略マッピング
  • 企業プロファイル（会社概要、業績、製品概要、戦略的取り組み）
    • 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.
図表

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
目次
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.