ビッグデータヘルスケア市場 - 成長、傾向、予測

Big Data Healthcare Market - Growth, Trends, COVID-19 Impact, and Forecasts (2021 - 2026)

出版日: | 発行: Mordor Intelligence Pvt Ltd | ページ情報: 英文 123 Pages | 納期: 2-3営業日

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ビッグデータヘルスケア市場 - 成長、傾向、予測
出版日: 2021年04月21日
発行: Mordor Intelligence Pvt Ltd
ページ情報: 英文 123 Pages
納期: 2-3営業日
  • 全表示
  • 概要
  • 目次

ビッグデータ分析は、 米国の医療に革命をもたらしました。製薬会社は長年の調査開発データを医療データベースに集約しており、支払者とプロバイダーは過去10年間に患者の記録をデジタル化しています。一方、米国連邦政府およびその他の公的利害関係者は、臨床試験からのデータや公的保険プログラムの対象となる患者に関する情報など、ヘルスケアに関する知識の膨大な蓄積を広げています。同時に、最近の技術の進歩により、複数のソースから情報を収集および分析することが容易になりました。これは、1人の患者のデータがさまざまな支払者、病院、研究所、および医師のオフィスから取得される可能性があるためです。



第1章 イントロダクション

  • 調査成果
  • 調査の前提条件
  • 調査範囲

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 市場のダイナミクス

  • 市場概要
  • 成長要因
  • 抑制要因
  • ファイブフォース分析
    • 新規参入の脅威
    • 消費者の交渉力
    • サプライヤーの交渉力
    • 代替製品の脅威
    • 業界内での競争

第5章 市場セグメンテーション

  • コンポーネント別
    • ソフトウェア
    • サービス
  • 展開別
    • オンプレミス
    • クラウド
  • 用途別
    • クリニック・病院
    • ファイナンス
    • その他
  • 地域別
    • 北米
    • 欧州
    • アジア太平洋
    • 中東・アフリカ
    • 南米

第6章 競合情勢

  • 企業プロファイル
    • Allscripts
    • Cerner Corporation
    • DELL EMC
    • Epic Systems Corporation
    • GE Healthcare
    • Hewlett Packard Enterprise
    • International Business Machines Corporation (IBM)
    • Microsoft Corporation
    • Oracle Corporation
    • Optum Inc

第7章 市場機会および将来動向

Product Code: 67156

The Big Data Healthcare Market was valued at USD 23,749.33 million in 2020 and is expected to reach USD 58,404.24 million by 2026, registering a CAGR of 16.24 % during the forecast period.

The COVID-19 pandemic is driving the critical need for cutting-edge technological tools and innovation in the areas of public health, medicine, and wellness which likely to drive the big data healthcare market during the pandemic. In June 2020, the UK government collaborated with Palantir, a US-based Big Data firm to investigate the patient data to further respond to the COVID-19 pandemic.

Big data analytics in healthcare is the complex process of examining big data to discover information, including hidden patterns, market trends, unknown correlations, and customer preferences, helping organizations make informed clinical and business decisions. The increase in the demand for big data solutions for population health management and the rise in the need for business intelligence to optimize health administration and strategy is expected to drive market growth.

In order to cope up with the management of such huge data, continuous technological innovations in big analytics tools is very important and thus, creating enormous opportunities to the key players in the market to develop and launch new data analytics software and systems. For instance, In December 2020, MedArrive launched a new care management platform that enables healthcare providers and payors to extend services into the home, scaling access to high quality healthcare and meaningfully reducing costs for providers and their patients

However, high incidences of a security breach coupled with lack of skilled labor are the major factors restraining the growth of the big data healthcare market.

Key Market Trends

Clinical Data Analytics Segment of Big Data Analytics is Expected to Register a High Growth Rate.

Clinical data analytics in the healthcare sector plays a vital role in preventing, treating, and predicting diseases, there by increasing the quality of care. Several healthcare institutes and enterprises are inclining towards the adoption of clinical analytics as a part of their operations to offer preventive care by efficiently monitoring patient data and offer distinct attention to increasing the effectiveness of their services.

Big data healthcare also offers better insights to patients who are at high risk of illness and thus healthcare providers prescribe treatments and make clinical decisions with greater accuracy.

Various organizations are increasingly investing in clinical data analytics for analyzing patient data to improve patient care. For instance, in January 2020, Health Data Research UK (HDR UK) raised GBP 1 million funding to improve patient care through analyzing large-scale data as part of the Better Care Partnership across the United Kingdom.

The adoption of digital patient records is increasing, as electronic medical records help organizations offer better care and analysis of patient's various conditions.

Furthermore, in 2019, a project funded by JDRF, and led by Wayne Bequette, professor of chemical and biological engineering at Rensselaer Polytechnic Institute, aims to use AI and Big Data analytics to evaluate information from thousands of continuous glucose monitors and insulin pumps. Researchers use this information to improve algorithms that control these devices.

Clinical data analytics is a part of the response to COVID-19, as the healthcare organizations and government are using patients' data to tackle and enable themselves in better handling of the crisis. For instance, in June 2020, the National Institutes of Health has launched a centralized national data analytics platform to gather COVID-19 patient data to fasten the treatments across the United States.

North America Holds a Large Share of the Big Data Healthcare Market

North America region has dominated the overall big data healthcare market due to the rise in advancements in IoT and increase in the demand for analytical models on patient information for better service delivery, government policies.

The region has a vast array of patient information. To easily analyze this data, pharmaceutical companies have been aggregating years of research and development data into medical databases, while payers and providers have digitized their patient records over the last decade.

Several companies are collaborating in order to support big data and improve healthcare. For instance, in May 2020, Blue Health Intelligence (BHI) and Datavant have partnered to enable big data and analytics which will improve the healthcare sector. Similarly in February 2020, Ottawa hospital in Canada has partnered with Israeli data analytics provider (MDClone) which will democratize the data across the organization and will provide greater visibility.

Furthermore, the rising cases of COVID-19 in the North America Region are creating a demand for big data to analyze and understand how the ongoing pandemic countries in the region is augumenting the adoption of big data analystics in North American Country's Healthcare systems. For instance, in December 2020, U.S. Department of Health and Human Services (HHS) has initiated a special platform for the COVID 19 data and started publishing the health details, admissions, deaths, new cases details of the patients got affected with COVID 19 in the Country.

Competitive Landscape

The Big Data Analytics market is highly competitive and some of the key players in the market studied are; Allscripts, GE Healthcare, Oracle Corporation, IBM, Epic Systems, Cerner Corporation, and Optum Inc., among others. The majority of the key player involved in the research of Big Data healthcare are established in developed countries. For instance, in August 2019, BlueDot, a digital health company that uses big data analytics to track and anticipate the spread of infectious diseases, announced that it has closed a USD 7M Series A financing. The investment brings BlueDot's total funding to USD 9.5M. The Co-operators and BDC Capital co-lead investment will expand AI-driven infectious disease global early warning system into global markets.

Reasons to Purchase this report:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support



  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study




  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Increase in the Demand for Analytics Solutions for Population Health Management
    • 4.2.2 Rise in Need for Business Intelligence to Optimize Health Administration and Strategy
    • 4.2.3 Surge in Adoption of Big Data in Healthcare Industry
  • 4.3 Market Restraints
    • 4.3.1 Security Concerns Related to Sensitive Patients Medical Data
    • 4.3.2 Lack of Skilled and Expert Staff
  • 4.4 Porter's Five Force Analysis
    • 4.4.1 Threat of New Entrants
    • 4.4.2 Bargaining Power of Buyers/Consumers
    • 4.4.3 Bargaining Power of Suppliers
    • 4.4.4 Threat of Substitute Products
    • 4.4.5 Intensity of Competitive Rivalry


  • 5.1 By Component
    • 5.1.1 Software
    • 5.1.2 Services
  • 5.2 By Deployment
    • 5.2.1 On-Premise
    • 5.2.2 Cloud
  • 5.3 By Application
    • 5.3.1 Financial Analytics
    • 5.3.2 Clinical Data Analytics
    • 5.3.3 Operational Analytics
    • 5.3.4 Population Health Analytics
  • 5.4 Geography
    • 5.4.1 North America
      • United States
      • Canada
      • Mexico
    • 5.4.2 Europe
      • Germany
      • United Kingdom
      • France
      • Italy
      • Spain
      • Rest of Europe
    • 5.4.3 Asia-Pacific
      • China
      • Japan
      • India
      • Australia
      • South Korea
      • Rest of Asia-Pacific
    • 5.4.4 Middle East and Africa
      • GCC
      • South Africa
      • Rest of Middle East and Africa
    • 5.4.5 South America
      • Brazil
      • Argentina
      • Rest of South America


  • 6.1 Company Profiles
    • 6.1.1 Allscripts Healthcare Solutions, Inc.
    • 6.1.2 Cerner Corporation
    • 6.1.3 DELL EMC
    • 6.1.4 Epic Systems Corporation
    • 6.1.5 General Electric Company (GE Healthcare)
    • 6.1.6 SAS INSTITUTE INC.​
    • 6.1.7 International Business Machines Corporation (IBM)
    • 6.1.8 Innovaccer Inc​.
    • 6.1.9 Oracle Corporation
    • 6.1.10 Optum Inc.
    • 6.1.11 ExlService Holdings, Inc.
    • 6.1.12 Health Fidelity, Inc.
    • 6.1.13 Apixio
    • 6.1.14 Lumiata
    • 6.1.15 Flatiron Health