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市場調查報告書
商品編碼
921252

巨量資料醫療保健市場 - 成長,趨勢,預測

Big Data Healthcare Market - Growth, Trends, and Forecasts (2022 - 2027)

出版日期: | 出版商: Mordor Intelligence | 英文 123 Pages | 商品交期: 2-3個工作天內

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簡介目錄

巨量資料分析為,帶給美國的醫療革命。製藥公司將長期的研發資料匯總到醫療資料庫中,付款者和供應商將過去10年患者的記錄數位化。另一方面,美國聯邦政府以及其他的公共利害關係者,擴大來自臨床試驗的資料和公共保險計劃對象患者的相關資訊等,醫療保健相關知識的龐大積蓄。同時,由於最近的技術進步,從複數的資源資訊收集及分析變得容易。這是由於可從各種付款者,醫院,研究所,及醫生的辦公室取得1個患者的資料。

本報告提供巨量資料醫療保健的世界市場調查,市場概要,各類型、用途、地區的市場趨勢,市場規模的變化與預測,市場促進、阻礙因素以及市場機會分析,競爭情形,主要企業的簡介等全面性資訊。

目錄

第1章 簡介

  • 調查成果
  • 調查的前提條件
  • 調查範圍

第2章 調查手法

第3章 摘要整理

第4章 市場動態

  • 市場概要
  • 成長要素
  • 阻礙因素
  • 波特的五力分析
    • 新加入廠商的威脅
    • 消費者談判力
    • 供應商談判力
    • 替代產品的威脅
    • 產業內的競爭

第5章 市場區隔

  • 各零件
    • 軟體
    • 服務
  • 各部署
    • 內部部署
    • 雲端
  • 各用途
    • 診所、醫院
    • 財政
    • 其他
  • 各地區
    • 北美
    • 歐洲
    • 亞太地區
    • 中東、非洲
    • 南美

第6章 競爭情形

  • 企業簡介
    • 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 市場機會及未來趨勢

簡介目錄
Product Code: 67156

The Big Data Healthcare Market was valued at USD 23,749.33 million in 2020, and it 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 is 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 demand for Big Data solutions for population health management and the rise in the need for business intelligence to optimize health administration and strategy are expected to drive market growth.

In order to cope with the management of such huge data, continuous technological innovations in big analytics tools are very important and thus, creating enormous opportunities for 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 a lack of skilled labor, are the major factors restraining the growth of the Big Data healthcare market.

Key Market Trends

The 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, thereby 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

The North American region has dominated the overall Big Data healthcare market due to the rise in advancements in IoT and increase in 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 partnered to enable Big Data and analytics, which will improve the healthcare sector. Similarly, in February 2020, Ottawa hospital in Canada 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 American Region are creating a demand for Big Data to analyze and understand how the ongoing pandemic in the region is augmenting the adoption of Big Data analytics in the North American region's healthcare systems. For instance, in December 2020, the US Department of Health and Human Services (HHS) 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 include Allscripts, GE Healthcare, Oracle Corporation, IBM, Epic Systems, Cerner Corporation, and Optum Inc. The majority of the key player involved in the research of Big Data healthcare are established in the 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 closed a USD 7 million Series A financing. The investment brings BlueDot's total funding to USD 9.5 million. The Co-operators and BDC Capital co-lead investment will expand AI-driven infectious disease global early warning system into global markets.

Additional Benefits:

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

TABLE OF CONTENTS

1 INTRODUCTION

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

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Increase in 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 the 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 Forces 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 MARKET SEGMENTATION

  • 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
      • 5.4.1.1 United States
      • 5.4.1.2 Canada
      • 5.4.1.3 Mexico
    • 5.4.2 Europe
      • 5.4.2.1 Germany
      • 5.4.2.2 United Kingdom
      • 5.4.2.3 France
      • 5.4.2.4 Italy
      • 5.4.2.5 Spain
      • 5.4.2.6 Rest of Europe
    • 5.4.3 Asia-Pacific
      • 5.4.3.1 China
      • 5.4.3.2 Japan
      • 5.4.3.3 India
      • 5.4.3.4 Australia
      • 5.4.3.5 South Korea
      • 5.4.3.6 Rest of Asia-Pacific
    • 5.4.4 Middle-East and Africa
      • 5.4.4.1 GCC
      • 5.4.4.2 South Africa
      • 5.4.4.3 Rest of Middle-East and Africa
    • 5.4.5 South America
      • 5.4.5.1 Brazil
      • 5.4.5.2 Argentina
      • 5.4.5.3 Rest of South America

6 COMPETITIVE LANDSCAPE

  • 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

7 MARKET OPPORTUNITIES AND FUTURE TRENDS