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市場調查報告書

全球針對醫療的預測的分析市場:成長,趨勢,預測(2017年∼2022年)

Healthcare Predictive Analytics Market - Growth, Trends, and Forecast (2020 - 2025)

出版商 Mordor Intelligence Pvt Ltd 商品編碼 353820
出版日期 內容資訊 英文 90 Pages
商品交期: 2-3個工作天內
價格
全球針對醫療的預測的分析市場:成長,趨勢,預測(2017年∼2022年) Healthcare Predictive Analytics Market - Growth, Trends, and Forecast (2020 - 2025)
出版日期: 2020年08月01日內容資訊: 英文 90 Pages
簡介

預測的分析,依據過去的資料預測未來變數的分析,位於描述性分析的下個階段。預測性分析,活用資料探勘、機器學習、預測建模、統計技術、高度的運算技術等,依據描述資料判斷未來的可能性。依據根據的個體化治療藥崛起,及醫療的效率化及降低成本的必要性,技術進步等成為這個市場的主要促進成長因素。

本報告提供全球針對醫療的預測的分析市場相關調查,市場概要,各應用、零組件、引進形態、終端用戶、地區的市場趨勢,市場規模的變化與預測,市場成長、阻礙因素以及市場機會、課題分析,市場佔有率,競爭情形,主要企業的簡介等,全面的資訊。

目錄

第1章 簡介

  • 調查成果
  • 市場定義
  • 粒度分級單位
  • 基本貨幣
  • 期間的重新評估與預測
  • 一般調查的前提條件
  • 報告的說明

第2章 調查方法

  • 簡介
  • 分析方法論
  • 計量預測模式
  • 調查的前提條件

第3章 摘要整理

第4章 主要影響要素

第5章 市場概要與產業趨勢

  • 目前市場方案
  • 技術概要
  • 市場發展
  • 投資分析
  • 波特的五力分析
    • 買方議價能力
    • 供給企業談判力
    • 新加入業者的威脅
    • 替代品的威脅
    • 競爭企業間的敵對關係

第6章 市場動態

  • 市場成長要素
    • 依據根據的個體化治療藥
    • 提高醫療效率性的必要性
    • 避免不必要成本以削減醫療費的必要性
    • 支援重要的決策流程的能力
  • 市場阻礙因素
    • 堅固的基礎設施的不足
    • 受訓練的醫療IT專家的不足
    • 醫療提供者對跟第三者的資料共享的抗拒感
  • 市場機會
    • 醫療IT的擴大
    • 新興國家的醫療的重要性高漲
  • 主要課題
    • 資料的保存,維護,隱私,安全相關課題

第7章 全球針對醫療的預測的分析市場:市場區隔

  • 各應用領域
    • 臨床資料分析
    • 財務資料分析
    • 管理資料分析
    • 研究資料分析
  • 各零件
    • 軟體
    • 硬體設備
    • 服務
  • 各引進形態
    • 內部部署
    • Web
    • 雲端
  • 各終端用戶
    • 民營企業
    • 政府機關
    • 研究機關

第8章 全球醫療預測的分析市場:各地區

  • 北美
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 西班牙、葡萄牙
    • 義大利
    • 斯堪地那維亞各國
    • 荷比盧三國
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
  • 中東、北非
    • 波灣合作理事會(GCC)
    • 埃及
    • 蘇丹
    • 摩洛哥
    • 阿爾及利亞
  • 南美
    • 阿根廷
    • 巴西
    • 智利

第9章 競爭情形

  • 合併和收購
  • 新產品的銷售
  • 協定、合作、夥伴關係

第10章 主要供應商

  • IBM
  • Cerner
  • Oracle
  • McKesson corporation
  • Medeanalytics, Inc
  • Optum, Inc.
  • Allscripts Healthcare Solutions, Inc.
  • Truven Healthanalytics, Inc.
  • Verisk Analytics
  • Information Builders, Inc.

第11章 分析師對投資機會的見解

第12章 市場未來展望

第13章 附錄

  • 簡稱
  • 參考文獻
  • 免責聲明

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目錄
Product Code: 53632

The major factors for the growth of the healthcare predictive analytics market include the emergence of personalized and evidence-based medicine, growing need of increasing efficiency in the healthcare sector, and increasing demand to curtail healthcare costs by reducing unnecessary costs.

Healthcare expenditure as a percentage of GDP is continuously growing in almost every part of the world, including developed and developing countries. In developed countries like the United States, health care spending was 17.8% of the GDP in 2015, increasing from 13% in 2000. In the majority of European countries, the healthcare expenditure share has already reached double-digit numbers and continues to increase. Developing countries are also witnessing the rapid growth in healthcare expenditure. Predictive analytics can be instrumental in reducing costs at multiple fronts like reducing hospital readmissions, eliminating unnecessary diagnostic tests and reducing unnecessary emergency room visits. Additionally, unnecessary tests which are the major components of healthcare cost, can also be reduced by analytics. The predictive analytics has the potential to reduce such visits, as it can predict the future outcomes well in advance. Its usage at various levels to curb unnecessary expenditures has been very helpful in improving the adoption rate for the technology, and the trend is expected to continue during the forecast period.

Key Market Trends

Clinical Data Analytics is expected to Witness Lucrative Growth

Predictive modeling, part of clinical data analytics, is being used by the healthcare providers to estimate the risk percentage to an individual's health. The clinical data analytics help the patients and caregivers with post-operation issues, such as surgical site infections, poor physical function, and reaction to medicines and allergies, as healthcare providers are equipped with the patients' historical medical data, which has been provided through the electronic health records. Moreover, with clinical data analytics, patients can explain their health conditions to different doctors repeatedly. This can be achieved through an acute analysis of their clinical data, further providing preventive care. The growth of clinical data analytics is expected to reduce healthcare costs, increase the accessibility of big data in healthcare industry, and technological advancements. The patient data captured, shared, and aggregated by these applications is the primary source of the data that healthcare organizations analyze using these clinical analytic tools.

North America is Expected to Dominate the Market

The healthcare infrastructure in the United States is experiencing positive trends in the predictive analytics domain. Studies have shown that since last few years, more than 40% of healthcare executives reported a 50% increase in data volume. As the data sets become bigger and more difficult to handle, health systems and payers are increasingly adopting predictive analytics. Healthcare organizations are also realizing that social determinants of health contribute to the wellbeing of a patient more than the medical issues. In 2016, both social determinants of health along with drug usage and emergency room admissions data rapidly drove the predictive model for identifying cost risks of population clusters. One of the trends being observed is that of non-competing healthcare organizations partnering with each other to manage the health of a population. Government payers like Medicare and Medicaid are readily moving toward capitated payment and value-based-purchasing models where outcomes will be measured and rewarded. Thus, owing to the better healthcare infrastructure the market is expected to witness high growth.

Competitive Landscape

The market studied is a moderately competitive owing to the presence of various market players. Some of the market players are Allscripts Healthcare Solutions, Cerner Corporation, Information Builders Inc., International Business Machines Corporation (IBM), Mckesson Corporation, Medeanalytics, Inc, Optum Inc, Oracle Corporation, and Truven Holding Corp.

Reasons to Purchase this report:

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

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Deliverables
  • 1.2 Study Assumptions
  • 1.3 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Emergence of Personalized and Evidence-based Medicine
    • 4.2.2 Growing Need of Increasing Efficiency in Healthcare Sector
    • 4.2.3 Increasing Demand to Curtail Healthcare Costs by Reducing Unnecessary Costs
  • 4.3 Market Restraints
    • 4.3.1 Lack of Robust Infrastructure
    • 4.3.2 Lack of Properly Trained IT Professionals in Healthcare
  • 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 MARKET SEGMENTATION

  • 5.1 By Application
    • 5.1.1 Clinical Data Analytics
    • 5.1.2 Financial Data Analytics
    • 5.1.3 Research Data Analytics
    • 5.1.4 Operations Management
    • 5.1.5 Others
  • 5.2 By Product
    • 5.2.1 Hardware
    • 5.2.2 Software and Services
  • 5.3 By Mode of Delivery
    • 5.3.1 On-premise
    • 5.3.2 Cloud-based
  • 5.4 By End-user
    • 5.4.1 Healthcare Provider
    • 5.4.2 Pharmaceutical Industry
    • 5.4.3 Others
  • 5.5 Geography
    • 5.5.1 North America
      • 5.5.1.1 United States
      • 5.5.1.2 Canada
      • 5.5.1.3 Mexico
    • 5.5.2 Europe
      • 5.5.2.1 Germany
      • 5.5.2.2 United Kingdom
      • 5.5.2.3 France
      • 5.5.2.4 Italy
      • 5.5.2.5 Spain
      • 5.5.2.6 Rest of Europe
    • 5.5.3 Asia-Pacific
      • 5.5.3.1 China
      • 5.5.3.2 Japan
      • 5.5.3.3 India
      • 5.5.3.4 Australia
      • 5.5.3.5 South Korea
      • 5.5.3.6 Rest of Asia-Pacific
    • 5.5.4 Middle-East and Africa
      • 5.5.4.1 GCC
      • 5.5.4.2 South Africa
      • 5.5.4.3 Rest of Middle-East and Africa
    • 5.5.5 South America
      • 5.5.5.1 Brazil
      • 5.5.5.2 Argentina
      • 5.5.5.3 Rest of South America

6 COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles
    • 6.1.1 Allscripts Healthcare Solutions
    • 6.1.2 Cerner Corporation
    • 6.1.3 Information Builders Inc.
    • 6.1.4 International Business Machines Corporation (IBM)
    • 6.1.5 Mckesson Corporation
    • 6.1.6 Medeanalytics, Inc
    • 6.1.7 Optum Inc
    • 6.1.8 Oracle Corporation
    • 6.1.9 Sas Institute Inc.
    • 6.1.10 Health Catalyst

7 MARKET OPPORTUNITIES AND FUTURE TRENDS