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市場調查報告書

醫療上巨量資料的全球市場:硬體設備,軟體類型,引進模式,分析服務類型,分析服務用途,地區-估計實際成果·預測 (2015-2022年)

Global Big Data in Healthcare Market: Focus on Hardware, Software Type, Deployment Model, Analytic Service Type, Analytic Service Applications and Geography - Estimation & Forecast 2015-2022

出版商 BIS Research 商品編碼 348543
出版日期 內容資訊 英文 200+ Pages
商品交期: 最快1-2個工作天內
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醫療上巨量資料的全球市場:硬體設備,軟體類型,引進模式,分析服務類型,分析服務用途,地區-估計實際成果·預測 (2015-2022年) Global Big Data in Healthcare Market: Focus on Hardware, Software Type, Deployment Model, Analytic Service Type, Analytic Service Applications and Geography - Estimation & Forecast 2015-2022
出版日期: 2016年01月07日 內容資訊: 英文 200+ Pages
簡介

許多要素都是促進醫療產業上整合巨量資訊需要的契機。政府機關也獎勵醫療產業對巨量資料的活用。在Health Data Initiative (HDI:健康資料倡議) 下,美國衛生和公眾服務部(HHS)開放美國食品藥品管理局(FDA)等機關的資料,以讓臨床實驗及其他研究活動可檢閱患者的公開資料。醫療部門上巨量資料分析的整合,患者及醫療生態系統能認識什麼最為適當,巨量資料分析可透過適當的照護供應商提供患者更恰當的治療。

本報告提供醫療的巨量資料的全球市場調查分析,市場概要,概括市場發展促進·阻礙因素及市場機會,概括競爭環境,並彙整各零件·各類服務·分析服務應用·地區別市場現況與展望相關分析,主要的供應商簡介等資訊。

第1章 調查範圍

第2章 調查手法

第3章 摘要整理

第4章 市場概要

  • 簡介
    • 巨量資料定義
    • 巨量資料的歷史與發展
    • 各種產業上巨量資料的用途
    • 醫療產業上巨量資料的資源
    • 醫療的巨量資料分析的優點
  • 市場動態
    • 市場發展推動因素
    • 技術發展 (行動醫療,IoT (物聯網) 、穿戴式設備)
    • 降低醫療費的壓力
    • 市場發展阻礙因素
    • 醫療產業的保守性質
    • 關乎巨量資料的收集與其隱私方面的疑慮
    • 踏實實行法規要件
    • 檢閱巨量資料的智慧裝置備用電力的問題
    • 市場機會
    • 附加價值治療

第5章 競爭概要

  • 主要市場開發策略
    • 簡介
    • 夥伴關係,聯盟及合資企業
    • 產品推出/開發
    • 收購
  • 波特的五力分析

第6章 產業分析

  • 簡介
  • 法規,國際集團,專利及標準
    • 法規/法規團體
    • 國際集團
    • 標準
  • 價值鏈分析
    • 醫療巨量資料
    • 醫療巨量資料的處理
    • 醫療巨量資料的報告
    • 先進的分析解決方案
  • 醫療產業上巨量資料用戶
    • 簡介
    • 醫療費負擔者
    • 醫療服務供應商
    • 第三方醫療團體
  • 治療方法的巨量資料分析

第7章 醫療產業上巨量資料分析,各零件·各類服務

  • 簡介
    • 市場統計
  • 醫療產業上巨量資料分析,各零件
    • 硬體設備
    • 軟體類型與引進模式
  • 醫療產業上巨量資料分析,各分析服務形式
    • 簡介
    • 說明的分析
    • 預測的分析
    • 處方的分析
    • 主要的法規,市場趨勢及發展

第8章 醫療的巨量資料分析,分析服務應用別

  • 簡介
    • 市場統計
  • 臨床性資料分析
    • 簡介
    • 優質護理服務
    • POPULATION HEALTH MANAGEMENT (PHM:特定人口健康管理)
    • 臨床決策的支援
    • PRECISION HEALTH (精密) 醫療
    • 匯報與合法性
    • 臨床資料分析主要的市場趨勢,發展及參與企業
  • 財務分析
    • 簡介
    • 索賠處理
    • 收益循環管理
    • 風險評估
    • 財務分析主要的市場趨勢,發展及參與企業
  • 營運分析
    • 簡介
    • 人力資源分析
    • 供應鏈分析
    • 醫療營運分析主要的市場趨勢,發展及參與企業
  • 巨量資料分析服務應用的主要的法規

第9章 醫療的巨量資料分析,各地區

  • 簡介
    • 市場統計
  • 北美
  • 歐洲
  • 亞太地區
  • 其他地區 (ROW)
  • 第10章 主要參與企業簡介
  • CERNER CORPORATION
  • COGNIZANT
  • DELL
  • EPIC SYSTEM CORPORATION
  • GE HEALTHCARE
  • MCKESSON
  • OPTUM
  • PHILIPS
  • SIEMENS
  • XEROX

圖表清單

目錄
Product Code: MD07

Several forces are triggering the boost in the overall demand for Big Data integration in the healthcare industry. Governmental agencies are encouraging the use of Big Data in the healthcare sector. The Department of Health and Human Services (HHS) under the Health Data Initiative (HDI) is starting to release data from agencies like Food and Drug Administration (FDA) and the Centers for Disease Control (CDC) in order to access public data of patients for clinical trials and other research activities. To ensure adequate access to information in a standard format, the Federal Government announced the Big Data Research and Development Initiative in March 2012, to support the release and usability of the data stores.

The integration of Big Data Analytics in the healthcare sector will, in turn, keep the patients and the healthcare ecosystem aware of what is appropriate for them. Big Data analytics will ensure that the patient gets the most appropriate treatment by connecting the patient with the right kind of care provider. Data could also be utilized to provide improved clinical trials accuracy. Physicians at Harvard Medical School and Harvard Pilgrim Healthcare analyzed the 4 years of Electronic Healthcare Record (EHR) data to detect and classify patients with diabetes for public health surveillance.

Our market study includes an overview and analysis of the Big Data analytics in the healthcare sector by components and services, applications and geographical regions, in turn, providing a comprehensive outlook of the market. The report provides an extensive insight of the major developments, trends and key participants. All of the above mentioned report coverage parameters are discussed across different regions like North America, Europe, Asia Pacific (APAC) and Rest of the World (ROW). Along with emphasizing on the key driving and challenging forces for this market, the report also provides a comprehensive section of the notable regulations, consortiums, patents and standards for the Big Data Analytics in the healthcare sector.

The answers to the following key questions can be found in the report:

  • What are the key market trends and developments in Big Data Analytics in the healthcare sector?
  • What are the different sources of Big Data in the healthcare sector?
  • What are the advantages of Big Data analytics in the healthcare sector?
  • Who are the Big Data users in the healthcare industry?
  • Which key therapeutics are utilizing Big Data technology/analytics?
  • What are the important hardware components in the Big Data Analytics in the healthcare sector?
  • What are the important kinds of software in the Big Data Analytics in the healthcare and their deployment type?
  • What types of services are provided in the Big Data Analytics in the healthcare sector?
  • What are the key applications of the Big Data Analytics in the healthcare sector?
  • Which geographical region will lead the global Big Data Analytics in the healthcare by the end of the forecast period?
  • Who are the key players in the Big Data Analytics in the healthcare sector?

The research also incorporates Porter's Five Force Model for in-depth analysis of the Big Data Analytics in the healthcare sector. The report builds itself upon a comprehensive value chain giving a clear understanding of the ecosystem of entry of Big Data Analytics in the healthcare sector. The report includes the profiles of major players like Cerner, Dell, and Cognizant among others in the Big Data Analytics in the healthcare sector allowing its readers to get an insight into the industry trends.

Executive Summary

The healthcare industry is in a period of rapid change. Advancements in the fields of genetics, biomedical, and information technology are paving a way towards effective personalized treatments in accordance to the individual characteristics of the patients. Exploiting these opportunities requires effective usage of Big Data. Over time, healthcare data has been created and accumulated continuously through patient records, radiology images, clinical trials and genomic sequences. With new technological advancements like mhealth and internet of things (IOT), patients are now able to track their personal health data and share it with their respective physicians for any further remedies. The more data is collected and analyzed, the better medical insights are gained.

With healthcare industry generating zetta bytes of data, Big Data Analytic solutions aims to improve quality care of patients and the overall healthcare ecosystem. The market growth is gaining momentum with government initiatives for Big Data integration in the healthcare sector during recent years. Physicians at Harvard Medical School and Harvard Pilgrim Healthcare analyzed the 4 years Electronic Healthcare Record (EHR) data to detect and classify patients with diabetes for public health surveillance.

The Big Data Analytics in the healthcare sector is estimated to grow over $34.27 billion by the end of 2022. Currently, financial analytics is acquiring a major share of the market in order to reduce frauds in healthcare claims and help healthcare organizations understand their cost structure and maintain their revenue. Clinical analytics is foreseen to have high growth potential by 2020 due to the implementation of innovative technologies like Precision Medicine, mHealth, and sensors in the healthcare industry. Big Data analytics will play a huge role in the evolution of new forms of treatments to treat different therapeutics and will also provide many opportunities to various organizations to skillfully take part in Big Data technology in the present scenario as well as for the future.

Table of Contents

1 RESEARCH SCOPE

  • 1.1 MARKET DEFINITION
  • 1.2 REPORT COVERAGE
    • 1.2.1 MARKET CLASSIFICATION
      • 1.2.1.1 MARKET SEGMENTATION BY HARDWARE
      • 1.2.1.2 MARKET SEGMENTATION BY SOFTWARE
      • 1.2.1.3 MARKET SEGMENTATION BY ANALYTIC SERVICE TYPES
      • 1.2.1.4 MARKET SEGMENTATION BY ANALYTIC SERVICE APPLICATIONS
  • 1.3 STAKEHOLDERS

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH FLOW
  • 2.2 FACTOR ANALYSIS
    • 2.2.1 DEMAND SIDE FACTORS
    • 2.2.2 SUPPLY SIDE FACTORS
  • 2.3 RESEARCH DESIGN
    • 2.3.1 RESEARCH PARAMETERS
    • 2.3.2 SECONDARY RESEARCH
      • 2.3.2.1 KEY DATA POINTS FROM SECONDARY SOURCES
    • 2.3.3 PRIMARY RESEARCH
      • 2.3.3.1 KEY DATA POINTS FROM PRIMARY SOURCES
    • 2.3.4 DATA TRIANGULATION
      • 2.3.4.1 BOTTOM UP APPROACH
      • 2.3.4.2 TOP DOWN APPROACH
  • 2.4 ASSUMPTIONS AND LIMITATIONS
  • 2.5 YEARS CONSIDERED

3 EXECUTIVE SUMMARY

4 MARKET OVERVIEW

  • 4.1 INTRODUCTION
    • 4.1.1 BIG DATA DEFINITION
    • 4.1.2 HISTORY AND EVOLUTION OF BIG DATA
    • 4.1.3 USAGE OF BIG DATA IN DIFFERENT INDUSTRY VERTICALS
    • 4.1.4 SOURCES OF BIG DATA IN HEALTHCARE INDUSTRY
    • 4.1.5 ADVANTAGES OF BIG DATA ANALYTICS IN HEALTHCARE
  • 4.2 MARKET DYNAMICS
    • 4.2.1 MARKET DRIVERS
      • 4.2.1.1 GOVERNMENT INITIATIVES TO PROMOTE BIG DATA
      • 4.2.1.2 TECHNOLOGICAL ADVANCEMENTS (mHEALTH, IOT AND WEARABLE DEVICES)
      • 4.2.1.3 PRESSURE TO CURB HEALTHCARE COSTS
    • 4.2.2 MARKET CHALLENGES
      • 4.2.2.1 LACK OF INTEROPERABILITY AMONG BIG DATA SOURCE GENERATORS
      • 4.2.2.2 CONSERVATIVE NATURE OF HEALTHCARE INDUSTRY
      • 4.2.2.3 BIG DATA COLLECTION AND ITS PRIVACY CONCERNS
      • 4.2.2.4 ADHERING TO THE REGULATORY REQUIREMENTS
      • 4.2.2.5 POWER BACKUP ISSUES WITH BIG DATA ACCESSING SMART DEVICES
    • 4.2.3 MARKET OPPORTUNITIES
      • 4.2.3.1 BIG DATA TO STRENGTHEN PRECISION MEDICINE 4.2.3.2 VALUE BASED CARE

5 COMPETITIVE OVERVIEW

  • 5.1 KEY MARKET DEVELOPMENT STRATEGIES
    • 5.1.1 INTRODUCTION
      • 5.1.1.1 KEY MARKET DEVELOPMENT TRENDS
    • 5.1.2 PARTNERSHIPS, COLLABORATIONS AND JOINT VENTURES
    • 5.1.3 PRODUCT LAUNCH/DEVELOPMENT
    • 5.1.4 ACQUISITIONS
  • 5.2 PORTER'S FIVE FORCES ANALYSIS
    • 5.2.1 THREAT OF NEW ENTRANTS
    • 5.2.2 BARGAINING POWER OF BUYERS
    • 5.2.3 BARGAINING POWER OF SUPPLIERS
    • 5.2.4 THREAT OF SUBSTITUTE PRODUCTS OR SERVICES
    • 5.2.5 RIVALRY AMONG EXISTING FIRMS

6 INDUSTRY ANALYSIS

  • 6.1 INTRODUCTION
  • 6.2 REGULATIONS, CONSORTIUMS, PATENTS, AND STANDARDS
    • 6.2.1 REGULATIONS /REGULATORY BODIES
    • 6.2.2 CONSORTIUMS
    • 6.2.3 PATENTS
    • 6.2.4 STANDARDS
  • 6.3 VALUE CHAIN ANALYSIS
    • 6.3.1 HEALTHCARE BIG DATA
    • 6.3.2 HEALTHCARE BIG DATA PROCESSING
    • 6.3.3 HEALTHCARE BIG DATA REPORTING
    • 6.3.4 ADVANCED ANALYTICS SOLUTIONS
  • 6.4 BIG DATA USERS IN THE HEALTHCARE INDUSTRY
    • 6.4.1 INTRODUCTION
    • 6.4.2 HEALTHCARE PAYERS
    • 6.4.3 HEALTHCARE SERVICE PROVIDERS
    • 6.4.4 THIRD PARTY CARE ORGANIZATIONS
  • 6.5 BIG DATA ANALYTICS IN THERAPEUTICS

7 BIG DATA ANALYTICS IN HEALTHCARE INDUSTRY, BY COMPONENTS AND SERVICES

  • 7.1 INTRODUCTION
    • 7.1.1 MARKET STATISTICS
  • 7.2 BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR, BY COMPONENTS
    • 7.2.1 HARDWARE
      • 7.2.1.1 Market Statistics
      • 7.2.1.2 ROUTERS
      • 7.2.1.3 FIREWALLS
      • 7.2.1.4 VIRTUAL PRIVATE NETWORK (VPN)
      • 7.2.1.5 DATA STORAGE
      • 7.2.1.5.1 Data Centers/Storage On Premise
      • 7.2.1.5.2 Storage On Cloud/Storage On Demand
      • 7.2.1.6 EMAIL SERVERS
      • 7.2.1.7 WIRELESS ACCESS POINTS
      • 7.2.1.8 KEY REGULATIONS, MARKET TRENDS, DEVELOPMENTS AND PARTICIPANTS
      • 7.2.1.9 REGULATIONS
      • 7.2.1.9.1 Health Insurance Portability And Accountability Act (HIPAA)
      • 7.2.1.9.2 Health Information Technology For Economic And Clinical Health (HITECH) Act
      • 7.2.1.9.3 Other Regulations/Regulatory Bodies
      • 7.2.1.9.4 Market Trends
      • 7.2.1.9.5 Key Developments
      • 7.2.1.9.6 Key Participants
    • 7.2.2 SOFTWARE TYPE AND DEPLOYMENT MODEL
      • 7.2.2.1 MARKET STATISTICS
      • 7.2.2.2 HEALTHCARE BIG DATA ANALYTICS: SOFTWARE TYPES
        • 7.2.2.2.1 Electronic Health Record (EHR) Software
        • 7.2.2.2.2 Practice Management Software
        • 7.2.2.2.3 Revenue Cycle Management Software
        • 7.2.2.2.4 Workforce Management Software
        • 7.2.2.2.5 Others
      • 7.2.2.3 HEALTHCARE BIG DATA ANALYTICS: SOFTWARE DEPLOYMENT TYPE
        • 7.2.2.3.1 Software On Premise
        • 7.2.2.3.2 Software On Demand
      • 7.2.2.4 KEY REGULATIONS, MARKET TRENDS, AND DEVELOPMENTS
        • 7.2.2.4.1 Key Regulations
          • 7.2.2.4.1.1 Health Insurance Portability and Accountability Act (HIPAA)
          • 7.2.2.4.1.2 Health Information Technology For Economic And Clinical Health Act(HITECH)
        • 7.2.2.4.2 Market Trends
        • 7.2.2.4.3 Key Developments
  • 7.3 BIG DATA ANALYTICS IN HEALTHCARE INDUSTRY, BY ANALYTIC SERVICE TYPE
    • 7.3.1 INTRODUCTION
      • 7.3.1.1 Market Statistics
    • 7.3.2 DESCRIPTIVE ANALYTICS
    • 7.3.3 PREDICTIVE ANALYTICS
    • 7.3.4 PRESCRIPTIVE ANALYTICS
    • 7.3.5 KEY REGULATIONS, MARKET TRENDS AND DEVELOPMENTS
      • 7.3.5.1 KEY REGULATIONS FOR HEALTHCARE ANALYTICS SERVICES
        • 7.3.5.1.1 Health Insurance Portability And Accountability Act (HIPAA)
      • 7.3.5.2 MARKET TRENDS
      • 7.3.5.3 KEY DEVELOPMENTS IN HEALTHCARE ANALYTICS SERVICES TYPES

8 BIG DATA ANALYTICS IN HEALTHCARE, BY ANALYTIC SERVICE APPLICATIONS

  • 8.1 INTRODUCTION
    • 8.1.1 MARKET STATISTICS
  • 8.2 CLINICAL DATA ANALYTICS
    • 8.2.1 INTRODUCTION
      • 8.2.1.1 Market Statistics
    • 8.2.2 QUALITY CARE
    • 8.2.3 POPULATION HEALTH MANAGEMENT
    • 8.2.4 CLINICAL DECISION SUPPORT
    • 8.2.5 PRECISION HEALTH
    • 8.2.6 REPORTING AND COMPLIANCE
    • 8.2.7 KEY MARKET TRENDS, DEVELOPMENTS AND PARTICIPANTS IN CLINICAL DATA ANALYTICS
      • 8.2.7.1 MARKET TRENDS
      • 8.2.7.2 KEY DEVELOPMENTS IN CLINICAL DATA ANALYTICS
      • 8.2.7.3 PARTICIPANTS
  • 8.3 FINANCIAL ANALYTICS
    • 8.3.1 INTRODUCTION
      • 8.3.1.1 Market Statistics
    • 8.3.2 CLAIMS PROCESSING
    • 8.3.3 REVENUE CYCLE MANAGEMENT
    • 8.3.4 RISK ASSESSMENT
    • 8.3.5 KEY MARKET TRENDS, DEVELOPMENTS AND PARTICIPANTS IN FINANCIAL ANALYTICS IN HEALTHCARE
      • 8.3.5.1 MARKET TRENDS
      • 8.3.5.2 KEY DEVELOPMENTS IN FINANCIAL ANALYTICS IN HEALTHCARE INDUSTRY
      • 8.3.5.3 PARTICIPANTS
  • 8.4 OPERATIONAL ANALYTICS
    • 8.4.1 INTRODUCTION
      • 8.4.1.1 Market Statistics
    • 8.4.2 WORKFORCE ANALYTICS
    • 8.4.3 SUPPLY CHAIN ANALYTICS
    • 8.4.4 KEY MARKET TRENDS, DEVELOPMENTS AND PARTICIPANTS IN HEALTHCARE OPERATIONAL ANALYTICS
      • 8.4.4.1 MARKET TRENDS
      • 8.4.4.2 DEVELOPMENTS
      • 8.4.4.3 PARTICIPANTS
  • 8.5 KEY REGULATIONS FOR BIG DATA ANALYTIC SERVICE APPLICATIONS
    • 8.5.1 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT (HIPAA)
    • 8.5.2 HEALTH INFORMATION TECHNOLOGY FOR ECONOMIC AND CLINICAL HEALTH ACT (HITECH)
    • 8.5.3 AFFORDABLE CARE ACT (ACA)
    • 8.5.4 INTERNATIONAL CLASSIFICATION OF DISEASES (ICD)

9 BIG DATA ANALYTICS IN HEALTHCARE, BY GEOGRAPHY

  • 9.1 INTRODUCTION
    • 9.1.1 MARKET STATISTICS
  • 9.2 NORTH AMERICA
    • 9.2.1 MARKET STATISTICS
    • 9.2.2 KEY MARKET TRENDS, DEVELOPMENTS, PARTICIPANTS, AND REGULATIONS
      • 9.2.2.1 MARKET TRENDS
      • 9.2.2.2 MARKET DEVELOPMENTS
      • 9.2.2.3 KEY PARTICIPANTS
      • 9.2.2.4 REGULATIONS
        • 9.2.2.4.1 Health Insurance Portability and Accountability Act (HIPAA)
        • 9.2.2.4.2 Health Information Technology For Economic And Clinical Health Act (HITECH)
        • 9.2.2.4.3 Affordable Care Act (ACA)
  • 9.3 EUROPE
    • 9.3.1 MARKET STATISTICS
    • 9.3.2 KEY MARKET TRENDS, DEVELOPMENTS, PARTICIPANTS AND REGULATIONS
    • 9.3.3 MARKET TRENDS
      • 9.3.3.1 MARKET DEVELOPMENTS
      • 9.3.3.2 PARTICIPANTS
      • 9.3.3.3 REGULATIONS
        • 9.3.3.3.1 Data Protection Act (DPA)
  • 9.4 ASIA PACIFIC
    • 9.4.1 MARKET STATISTICS
    • 9.4.2 KEY MARKET TRENDS, DEVELOPMENTS, PARTICIPANTS AND REGULATIONS
      • 9.4.2.1 MARKET TRENDS
      • 9.4.2.2 DEVELOPMENTS
      • 9.4.2.3 PARTICIPANTS
      • 9.4.2.4 REGULATIONS
        • 9.4.2.4.1 Personal Data Protection Act (PDPA)
  • 9.5 REST OF THE WORLD (ROW)
    • 9.5.1 MARKET STATISTICS
    • 9.5.2 KEY MARKET TRENDS, DEVELOPMENTS, PARTICIPANTS AND REGULATIONS
      • 9.5.2.1 MARKET TRENDS
      • 9.5.2.2 MARKET DEVELOPMENTS
      • 9.5.2.3 PARTICIPANTS
      • 9.5.2.4 REGULATIONS
        • 9.5.2.4.1 Qatar Financial Centre (QFC)
        • 9.5.2.4.2 Kingdom Of Saudi Arabia (KSA)

10 KEY MARKET PLAYERS PROFILE

  • 10.1 CERNER CORPORATION
    • 10.1.1 OVERVIEW
    • 10.1.2 FINANCIALS
      • 10.1.2.1 Overall Financials
    • 10.1.3 KEY DEVELOPMENTS
  • 10.2 COGNIZANT
    • 10.2.1 OVERVIEW
    • 10.2.2 FINANCIALS
      • 10.2.2.1 Overall Financials
      • 10.2.2.2 NET REVENUE BY BUSINESS SEGMENT
    • 10.2.3 KEY DEVELOPMENT
  • 10.3 DELL
    • 10.3.1 OVERVIEW
    • 10.3.2 FINANCIALS
      • 10.3.2.1 Overall Financials
      • 10.3.2.2 Net Revenue By Segment
    • 10.3.3 KEY DEVELOPMENTS
  • 10.4 EPIC SYSTEM CORPORATION
    • 10.4.1 OVERVIEW
    • 10.4.2 FINANCIALS
    • 10.4.3 KEY DEVELOPMENTS
  • 10.5 GE HEALTHCARE
    • 10.5.1 OVERVIEW
    • 10.5.2 FINANCIALS
      • 10.5.2.1 Overall Financials
      • 10.5.2.2 Net Revenue By Segment
    • 10.5.3 KEY DEVELOPMENTS
  • 10.6 MCKESSON
    • 10.6.1 OVERVIEW
    • 10.6.2 FINANCIALS
      • 10.6.2.1 Overall Financials
      • 10.6.2.2 Net Revenue By Business Segment
    • 10.6.3 KEY DEVELOPMENTS
  • 10.7 OPTUM
    • 10.7.1 OVERVIEW
    • 10.7.2 FINANCIALS
      • 10.7.2.1 Overall Financials
      • 10.7.2.2 Net Revenue By Business (2014)
    • 10.7.3 KEY DEVELOPMENTS
  • 10.8 PHILIPS
    • 10.8.1 OVERVIEW
    • 10.8.2 FINANCIALS
      • 10.8.2.1 Overall Financials
      • 10.8.2.2 Net Revenue By Business Segment (2014)
    • 10.8.3 KEY DEVELOPMENTS
  • 10.9 SIEMENS
    • 10.9.1 OVERVIEW
    • 10.9.2 FINANCIALS
      • 10.9.2.1 Overall Financials
      • 10.9.2.2 NET REVENUE BY SEGMENT
    • 10.9.3 KEY DEVELOPMENTS
  • 10.10 XEROX
    • 10.10.1 OVERVIEW
    • 10.10.2 FINANCIALS
      • 10.10.2.1 Overall Financials
      • 10.10.2.2 NET REVENUE BY BUSINESS SEGMENT (2014) $BILLION
    • 10.10.3 KEY DEVELOPMENTS

List of Tables

  • TABLE 1 MARKET ENGINEERING AND ESTIMATION FOR BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR: CONSIDERATIONS AND CROSS MAPPING
  • TABLE 2 ASSUMPTION TABLE
  • TABLE 3 LIMITATIONS
  • TABLE 4 BUYERS AND SUPPLIERS IN BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • TABLE 5 KEY FACTORS CONSIDERED FOR THREAT FROM NEW ENTRANTS: BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • TABLE 6 KEY FACTORS AFFECTING BARGAINING POWER OF BUYERS: BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • TABLE 7 KEY FACTORS AFFECTING THE BARGAINING POWER OF SUPPLIERS: BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • TABLE 8 KEY FACTORS AFFECTING THREAT OF SUBSTITUTE PRODUCTS OR SERVICES: BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • TABLE 9 KEY FACTORS DETERMINING RIVALRY AMONG EXISTING FIRMS: BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • TABLE 10 KEY REGULATIONS/REGULATORY BODIES IN BIG DATA ANALYTICS IN HEALTHCARE
  • TABLE 11 CONSORTIUMS IN BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • TABLE 12 SOME KEY PLAYER'S PATENTS IN BIG DATA ANALYTICS IN THE HEATHCARE SECTOR (2013-2015)
  • TABLE 13 KEY STANDARDS FOR BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • TABLE 14 TYPE OF HEALTHCARE PAYERS
  • TABLE 15 TYPES OF HEALTHCARE SERVICE PROVIDERS
  • TABLE 16 THIRD PARTY CARE ORGANIZATIONS
  • TABLE 17 BIG DATA ANALYTICS IN THERAPEUTICS
  • TABLE 18 GLOBAL BIG DATA ANALYTICS MARKET IN THE HEALTHCARE SECTOR, BY COMPONENTS AND SERVICES, 2014-2022 ($BILLION)
  • TABLE 19 MARKETING ENGINEERING AND ESTIMATION FOR BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR: CONSIDERATIONS AND CROSS MAPPING
  • TABLE 20 GLOBAL BIG DATA ANALYTICS HARDWARE IN THE HEALTHCARE SECTOR, BY GEOGRAPHY, 2014- 2022 ($MILLION)
  • TABLE 21 KEY DEVELPOMENTS: HARDWARE
  • TABLE 22 MARKETING ENGINEERING AND ESTIMATION FOR BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR: CONSIDERATIONS AND CROSS MAPPING
  • TABLE 23 GLOBAL BIG DATA ANALYTICS SOFTWARE MARKET IN THE HEALTHCARE SECTOR, BY GEOGRAPHY, 2014-2022 ($MILLION)
  • TABLE 24 REVENUE CYCLE MANAGEMENT SOFTWARE MERITS IN BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • TABLE 25 SOFTWARE DEPLOYMENT TYPE: KEY DEVELOPMENTS
  • TABLE 26 MARKETING ENGINEERING AND ESTIMATION FOR BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR: CONSIDERATIONS AND CROSS MAPPING
  • TABLE 27 GLOBAL BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR, BY ANALYTICS SERVICE TYPE, 2014- 2022 ($BILLION)
  • TABLE 28 GLOBAL BIG DATA ANALYTICS SERVICES MARKET IN THE HEALTHCARE SECTOR, BY ANALYTIC SERVICE APPLICATIONS, 2014-2022 ($BILLION)
  • TABLE 29 GLOBAL BIG DATA ANALYTICS SERVICE MARKET IN THE HEALTHCARE SECTOR, BY GEOGRAPHY, 2014-2022 ($MILLION)
  • TABLE 30 KEY DEVELOPMENTS: HEALTHCARE ANALYTICS SERVICE TYPE
  • TABLE 31 GLOBAL BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR, BY ANALYTIC SERVICE APPLICATIONS, 2014-2022 ($BILLION)
  • TABLE 32 MARKETING ENGINEERING AND ESTIMATION FOR BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR: CONSIDERATIONS AND CROSS MAPPING
  • TABLE 33 GLOBAL BIG DATA CLINICAL ANALYTICS IN THE HEALTHCARE SECTOR, BY SERVICE TYPE, 2014- 2022 ($MILLION)
  • TABLE 34 GLOBAL BIG DATA CLINICAL ANALYTICS IN THE HEALTHCARE SECTOR BY GEOGRAPHY, 2014-2022 ($MILLION)
  • TABLE 35 KEY DEVELOPMENTS IN CLINICAL DATA ANALYTICS
  • TABLE 36 MARKETING ENGINEERING AND ESTIMATION FOR BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR: CONSIDERATIONS AND CROSS MAPPING
  • TABLE 37 GLOBAL BIG DATA FINANCIAL ANALYTICS IN THE HEALTHCARE SECTOR, BY SERVICE TYPE, 2014- 2022 ($MILLION)
  • TABLE 38 GLOBAL BIG DATA FINANCIAL ANALYTICS IN THE HEALTHCARE SECTOR BY GEOGRAPHY, 2014-2022 ($MILLION)
  • TABLE 39 KEY DEVELOPMENTS IN FINANCIAL ANALYTICS IN HEALTHCARE INDUSTRY
  • TABLE 40 MARKETING ENGINEERING AND ESTIMATION FOR BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR: CONSIDERATIONS AND CROSS MAPPING
  • TABLE 41 GLOBAL BIG DATA OPERATIONAL ANALYTICS IN THE HEALTHCARE SECTOR, BY SERVICE TYPE, 2014-2022 ($MILLION)
  • TABLE 42 GLOBAL BIG DATA OPERATIONAL ANALYTICS IN THE HEALTHCARE SECTOR BY GEOGRAPHY, 2014- 2022 ($MILLION)
  • TABLE 43 KEY DEVELOPMENTS IN HEALTHCARE OPERATIONAL ANALYTICS
  • TABLE 44 GLOBAL BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR, BY GEOGRAPHY
  • TABLE 45 NORTH AMERICAN COUNTRIES: KEY FACTORS DRIVING THE BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • TABLE 46 MARKETING ENGINEERING AND ESTIMATION FOR BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR: CONSIDERATIONS AND CROSS MAPPING
  • TABLE 47 NORTH AMERICA'S BIG DATA ANALYTICS MARKET IN THE HEALTHCARE SECTOR, BY COMPONENTS AND SERVICES, 2014-2022 ($BILLION)
  • TABLE 48 NORTH AMERICA'S BIG DATA ANALYTICS MARKET IN THE HEALTHCARE SECTOR, BY ANALYTIC SERVICE APPLICATIONS, 2014-2022 ($MILLION)
  • TABLE 49 KEY DEVELOPMENTS IN BIG DATA ANALYTICS IN HEALTHCARE INDUSTRY: NORTH AMERICA
  • TABLE 50 EUROPEAN COUNTRIES: KEY FACTORS DRIVING BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • TABLE 51 MARKETING ENGINEERING AND ESTIMATION FOR BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR: CONSIDERATIONS AND CROSS MAPPING
  • TABLE 52 EUROPE'S BIG DATA ANALYTICS MARKET IN THE HEALTHCARE SECTOR, BY COMPONENTS AND SERVICES, 2014-2022 ($MILLION)
  • TABLE 53 EUROPE'S BIG DATA ANALYTICS MARKET IN THE HEALTHCARE SECTOR, BY ANALYTIC SERVICE APPLICATIONS, 2014-2022 ($MILLION)
  • TABLE 54 KEY DEVELOPMENTS IN THE DATA ANALYTICS IN THE HEALTHCARE SECTOR: EUROPE
  • TABLE 55 APAC COUNTRIES: FACTORS DRIVING BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • TABLE 56 MARKETING ENGINEERING AND ESTIMATION FOR BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR: CONSIDERATIONS AND CROSS MAPPING
  • TABLE 57 APAC'S BIG DATA ANALYTICS MARKET IN THE HEALTHCARE SECTOR, BY COMPONENTS AND SERVICES, 2014-2022 ($MILLION)
  • TABLE 58 APAC'S BIG DATA ANALYTICS MARKET IN THE HEALTHCARE SECTOR, BY ANALYTIC SERVICE APPLICATIONS, 2014-2022 ($BILLION)
  • TABLE 59 APAC: KEY DEVELOPMENTS IN HEALTHCARE ANALYTICS
  • TABLE 60 MENA COUNTRIES: FACTORS DRIVING BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • TABLE 61 MARKETING ENGINEERING AND ESTIMATION FOR BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR: CONSIDERATIONS AND CROSS MAPPING
  • TABLE 62 ROW'S BIG DATA ANALYTICS MARKET IN THE HEALTHCARE SECTOR, BY COMPONENTS AND SERVICES, 2014-2022 ($MILLION)
  • TABLE 63 ROW'S BIG DATA ANALYTICS MARKET IN THE HEALTHCARE SECTOR, BY ANALYTIC SERVICE APPLICATIONS, 2014-2022 ($MILLION)
  • TABLE 64 MENA REGION: KEY DEVELOPMENTS IN HEALTHCARE ANALYTICS
  • TABLE 65 CERNER CORPORATION: OVERALL FINANCIALS, FROM JANUARY 2015 TILL JULY 4, 2015 ($BILLION)
  • TABLE 66 CERNER: KEY DEVELOPMENTS AND STRATEGIES (2013-2015)
  • TABLE 67 COGNIZANT: OVERALL FINANCIALS, FROM JANUARY 2015 TILL JUNE 30, 2015 ($BILLION)
  • TABLE 68 COGNIZANT: KEY DEVELOPMENTS AND STRATEGIES (2013-2015)
  • TABLE 69 DELL: KEY DEVELOPMENTS AND STRATEGIES (2012-2014)
  • TABLE 70 EPIC SYSTEM CORPORATION: KEY DEVELOPMENTS AND STRATEGIES (2013-2015)
  • TABLE 71 GE: OVERALL FINANCIALS, JANUARY 2015 TILL JUNE 30, 2015 ($BILLION)
  • TABLE 72 GE HEALTHCARE :KEY DEVELOPMENTS AND STRATEGIES (2013-2015)
  • TABLE 73 MCKESSON: OVERALL FINANCIALS, 2015 ($BILLION)
  • TABLE 74 MCKESSON: KEY DEVELOPMENTS AND STRATEGIES (2013-2015)
  • TABLE 75 OPTUM: OVERALL FINANCIALS, FROM JANUARY 2015 TILL MARCH 31, 2015 ($BILLION)
  • TABLE 76 OPTUM: KEY DEVELOPMENTS AND STRATEGIES (2013-2015)
  • TABLE 77 PHILIPS: OVERALL FINANCIALS, FROM JANUARY 2015 TILL JUNE 30, 2015 ($BILLION)
  • TABLE 78 PHILIPS: KEY DEVELOPMENTS AND STRATEGIES (2013-2015)
  • TABLE 79 SIEMENS: OVERALL FINANCIALS, FROM JANUARY 2015 TILL JULY 30, 2015 ($BILLION)
  • TABLE 80 SIEMENS: KEY DEVELOPMENTS AND STRATEGIES (2013-2015)
  • TABLE 81 XEROX: OVERALL FINANCIALS, FROM JANUARY 2015 TILL JUNE 30, 2015 ($BILLION)
  • TABLE 82 XEROX: KEY DEVELOPMENTS AND STRATEGIES (2013-2015)

List of Figures

  • FIGURE 1 REPORT COVERAGE SNAPSHOT: BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • FIGURE 2 MARKET CLASSIFICATION
  • FIGURE 3 KEY ELEMENTS CONSIDERED FOR DETAILED ANALYSIS OF EACH CLASSIFICATION IN BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • FIGURE 4 BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR: MARKET SEGMENTATION BY HARDWARE
  • FIGURE 5 BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR: MARKET SEGMENTATION BY SOFTWARE
  • FIGURE 6 BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR: MARKET SEGMENTATION BY ANALYTIC SERVICE TYPE
  • FIGURE 7 BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR: MARKET SEGMENTATION BY ANALYTIC SERVICE APPLICATIONS
  • FIGURE 8 KEY STAKEHOLDERS
  • FIGURE 9 RESEARCH FLOW
  • FIGURE 10 DEMAND SIDE FACTORS
  • FIGURE 11 SUPPLY SIDE FACTORS
  • FIGURE 12 BIG DATA IN HEALTHCARE MARKET: RESEARCH PARAMETERS
  • FIGURE 13 DATA POINTS FROM SECONDARY SOURCES
  • FIGURE 14 DATA POINTS FROM PRIMARY SOURCES
  • FIGURE 15 DATA TRIANGULATION
  • FIGURE 16 BOTTOM UP APPROACH
  • FIGURE 17 TOP DOWN APPROACH
  • FIGURE 18 YEARS CONSIDERED
  • FIGURE 19 BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR: MARKET SIZE, 2015-2022 ($BILLION)
  • FIGURE 20 GLOBAL BIG DATA ANALYTICS MARKET IN THE HEALTHCARE SECTOR, BY COMPONENTS AND SERVICES, 2015-2022 ($BILLION)
  • FIGURE 21 BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR MARKET, BY APPLICATIONS, 2015-2022 (%)
  • FIGURE 22 BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR MARKET, BY GEOGRAPHY
  • FIGURE 23 UNSTRUCTURED DATA SOURCES IN THE HEALTHCARE ORGANIZATIONS
  • FIGURE 24 RELATIONSHIP BETWEEN STRUCTURED AND UNSTRUCTURED BIG DATA
  • FIGURE 25 STRUCTURED BIG DATA: KEY BENEFITS
  • FIGURE 26 BIG DATA ATTRIBUTES
  • FIGURE 27 BIG DATA EVOLUTION
  • FIGURE 28 BIG DATA ANALYTICS: KEY BENEFITS
  • FIGURE 29 BIG DATA ANALYTICS INVESTMENT IN DIFFERENT INDUSTRY VERTICALS
  • FIGURE 30 BIG DATA ANALYTICS SPENDING BY REGION
  • FIGURE 31 BIG DATA SOURCES IN HEALTHCARE
  • FIGURE 32 BIG DATA ANALYTICS IN HEALTHCARE: KEY BENEFITS
  • FIGURE 33 MARKET DYNAMICS
  • FIGURE 34 KEY MARKET DRIVERS: BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • FIGURE 35 KEY GOVERNMENT INITIATIVES IN BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • FIGURE 36 MOBILE HEALTHCARE APPLICATIONS USED BY PHYSICIANS
  • FIGURE 37 THE U.S. CONSUMER SURVEY
  • FIGURE 38 INCREASE IN HEALTHCARE COST: KEY FACTORS
  • FIGURE 39 BIG DATA ANALYTICS CURBS HEALTHCARE COSTS
  • FIGURE 40 KEY CHALLENGES: BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • FIGURE 41 BIG DATA INTEROPERABILITY: KEY BARRIER
  • FIGURE 42 KEY HEALTH DATA CONCERNS FOR THE U.S. CONSUMERS
  • FIGURE 43 KEY STEPS FOR THE SECURITY OF PHI
  • FIGURE 44 MARKET OPPORTUNITIES: BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • FIGURE 45 KEY VALUE BASED CARE MODELS
  • FIGURE 46 COMPETITIVE OVERVIEW: BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • FIGURE 47 KEY MARKET DEVELOPMENT STRATEGIES
  • FIGURE 48 KEY TRENDS: BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • FIGURE 49 KEY PARTNERSHIPS, COLLABORATIONS AND JOINT VENTURES
  • FIGURE 50 PARTNERSHIPS AND COLLABORATION: KEY PLAYERS IN BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • FIGURE 51 KEY PRODUCT DEVELOPMENTS: BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • FIGURE 52 PRODUCT DEVELOPMENT: KEY PLAYERS IN BIG DATA ANALYTICS IN THE HEALTCARE SECTOR
  • FIGURE 53 KEY AQUISITIONS: BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • FIGURE 54 ACQUSITIONS: KEY PLAYERS IN THE BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • FIGURE 55 PORTER FIVE FORCES ANALYSIS FRAMEWORK
  • FIGURE 56 IMPACT OF EACH PORTER'S FIVE FORCES ON THE BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • FIGURE 57 INDUSTRY ANALYSIS SEGMENTS
  • FIGURE 58 VALUE CHAIN: BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • FIGURE 59 HEALTHCARE BIG DATA USERS
  • FIGURE 60 BIG DATA ANALYTICS IN KEY THERAPEUTICS
  • FIGURE 61 BIG DATA ANALYTICS IN HEALTHCARE, BY COMPONENTS AND SERVICES
  • FIGURE 62 COMPONENTS AND SERVICES: STATISTICAL COVERAGE
  • FIGURE 63 IMPORTANCE OF HARDWARE COMPONENTS IN BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • FIGURE 64 TYPES OF HEALTHCARE INFORMATION BREACH
  • FIGURE 65 BREACH OF HEALTH INFORMATION SOURCES
  • FIGURE 66 FACTORS RESPONSIBLE FOR HEALTHCARE INFORMATION BREACH
  • FIGURE 67 BIG DATA ANALYTICS IN HEALTHCARE INDUSTRY, BY HARDWARE COMPONENT TYPES
  • FIGURE 68 BIG DATA ANALYTICS IN HEALTHCARE INDUSTRY, SOFTWARE TYPES AND DEPLOYMENT TYPE
  • FIGURE 69 HISTORY OF EHR IN THE U.S.
  • FIGURE 70 BENEFITS OF EHR SOFTWARE
  • FIGURE 71 EHR PURCHASE: KEY DRIVERS
  • FIGURE 72 SOME KEY PLAYERS IN EHR SOFTWARE
  • FIGURE 73 PRACTICE MANAGEMENT SOFTWARE ADVANTAGES IN BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • FIGURE 74 KEY PLAYERS IN PRACTICE MANAGEMENT SOFTWARE IN BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • FIGURE 75 HEALTHCARE REVENUE CYCLE
  • FIGURE 76 KEY PLAYERS IN REVENUE CYCLE MANAGEMENT SOFTWARE IN BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • FIGURE 77 WORKFORCE MANAGEMENT SOFTWARE BENEFITS IN BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • FIGURE 78 WORKFORCE MANAGEMENT SOFTWARE KEY PROVIDERS IN BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • FIGURE 79 SOFTWARE DEPLOYMENT TYPE IN BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • FIGURE 80 SOME KEY PLAYERS PROVIDING ON PREMISE SOFTWARE DEPLOYMENT IN BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • FIGURE 81 SOFTWARE ON DEMAND: SOME KEY PROVIDERS IN BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • FIGURE 82 HEALTHCARE ANALYTICS SERVICES
  • FIGURE 83 BENEFITS OF DESCRIPTIVE ANALYTICS IN HEALTHCARE
  • FIGURE 84 SOME KEY PLAYERS IN HEALTHCARE DESCRIPTIVE ANALYTICS
  • FIGURE 85 BENEFITS OF PREDICTIVE ANALYTICS IN HEALTHCARE
  • FIGURE 86 SOME KEY PLAYERS IN HEALTHCARE PREDICTIVE ANALYTICS
  • FIGURE 87 BENEFITS OF PRESCRIPTIVE ANALYTICS IN HEALTHCARE
  • FIGURE 88 SOME KEY PLAYERS IN HEALTHCARE PRESCRIPTIVE ANALYTICS
  • FIGURE 89 SEGMENTATION OF HEALTHCARE ANALYTICS APPLICATIONS
  • FIGURE 90 HEALTHCARE ORGANIZATIONS ANALYTICS INVESTMENT PRIORITY
  • FIGURE 91 ANALYTICS SERVICE APPLICATIONS: STATISTICAL COVERAGE
  • FIGURE 92 CLINICAL DATA ANALYTICS APPLICATIONS
  • FIGURE 93 BENEFITS OF CLINICAL DATA ANALYTICS IN QUALITY CARE
  • FIGURE 94 POPULATION HEALTH MANAGEMENT PROCEDURE
  • FIGURE 95 BENEFITS OF BIG DATA ANALYTICS IN POPULATION HEALTH MANAGEMENT
  • FIGURE 96 CLINICAL DECISION SUPPORT PROCESS
  • FIGURE 97 BENEFITS OF BIG DATA ANALYTICS IN CLINICAL DECISION SUPPORT
  • FIGURE 98 BENEFITS OF BIG DATA ANALYTICS IN PRECISION HEALTH
  • FIGURE 99 BENEFITS OF BIG DATA ANALYTICS IN REPORTING AND COMPLIANCE
  • FIGURE 100 HEALTHCARE FINANCIAL ANALYTICS APPLICATIONS
  • FIGURE 101 CLAIMS PROCESSING PROCEDURE
  • FIGURE 102 BENEFITS OF BIG DATA ANALYTICS IN CLAIMS PROCESSING
  • FIGURE 103 HEALTHCARE REVENUE CYCLE
  • FIGURE 104 BENEFITS OF BIG DATA ANALYTICS IN HEALTHCARE REVENUE CYCLE MANAGEMENT
  • FIGURE 105 RISK ASSESSMENT STEPS
  • FIGURE 106 SOME FINANCIAL RISK ASSOCIATED WITH HEALTHCARE INDUSTRY
  • FIGURE 107 SOME BENEFITS OF BIG DATA ANALYTICS IN RISK ASSESSMENT
  • FIGURE 108 SOME KEY PLAYERS IN HEALTHCARE FINANCIAL ANALYTICS
  • FIGURE 109 HEALTHCARE OPERATIONAL ANALYTICS SUBSEGMENTS
  • FIGURE 110 WORKFORCE MANAGEMENT IMPORTANT ELEMENTS
  • FIGURE 111 BENEFITS OF WORKFLOW ANALYTICS IN HEALTHCARE
  • FIGURE 112 SUPPLY CHAIN HEALTHCARE
  • FIGURE 113 BENEFITS OF SUPPLY CHAIN ANALYTICS IN HEALTHCARE
  • FIGURE 114 SOME KEY PROVIDERS OF HEALTHCARE OPERATIONAL ANALYTICS
  • FIGURE 115 BIG DATA ANALYTICS IN HEALTHCARE INDUSTRY BY GEOGRAPHY
  • FIGURE 116 GEOGRAPHICAL MARKET STATISTICS: BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • FIGURE 117 GEOGRAPHICAL ANALYSIS: STATISTICAL COVERAGE
  • FIGURE 118 KEY FACTORS FOR GROWTH IN BIG DATA ANALYTICS IN THE HEALTHCARE INDUSTRY: NORTH AMERICA
  • FIGURE 119 KEY MARKET PLAYERS FOR BIG DATA ANALYTICS IN HEALTHCARE INDUSTRY: NORTH AMERICA
  • FIGURE 120 NORTH AMERICA: KEY REGULATIONS FOR BIG DATA ANAYTICS IN HEALTHCARE
  • FIGURE 121 KEY FACTORS FOR GROWTH IN BIG DATA ANALYTICS IN THE HEALTHCARE INDUSTRY: EUROPE
  • FIGURE 122 SOME KEY PLAYERS IN BIG DATA ANALYTICS IN THE HEALTHCARE INDUSTRY: EUROPE
  • FIGURE 123 ASIA PACIFIC: CHALLENGES IN THE IMPLEMENTATION OF BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
  • FIGURE 124 ASIA PACIFIC: KEY FACTORS THAT WILL DRIVE THE BIG DATA ANALYTICS MARKET IN THE HEALTHCARE SECTOR
  • FIGURE 125 ASIA PACIFIC: SOME OF THE KEY PLAYERS IN HEALTHCARE ANALYTICS
  • FIGURE 126 ROW: KEY FACTORS THAT WILL DRIVE THE GROWTH OF BIG DATA ANALYTICS IN HEALTHCARE
  • FIGURE 127 MIDDLE EAST: KEY PARTICIPANTS IN HEALTHCARE ANALYTICS
  • FIGURE 128 MENA: KEY REGULATORY BODIES FOR DATA PROTECTION
  • FIGURE 129 CERNER CORPORATION: OVERALL FINANCIALS, 2012-2014 ($BILLION)
  • FIGURE 130 COGNIZANT: OVERALL FINANCIALS, 2012-2014 ($BILLION)
  • FIGURE 131 COGNIZANT: NET REVENUE, BY SEGMENTS, 2014 ($BILLION)
  • FIGURE 132 DELL: OVERALL FINANCIALS, 2011-2013 ($BILLION)
  • FIGURE 133 DELL: NET REVENUE, BY SEGMENTS, 2013 ($BILLION)
  • FIGURE 134 GE: OVERALL FINANCIALS, 2012-2014 ($BILLION)
  • FIGURE 135 GE: NET REVENUE, BY BUSINESS SEGMENTS, 2014 (PERCENTAGE)
  • FIGURE 136 MCKESSON: OVERALL FINANCIALS, 2012-2014 ($BILLION)
  • FIGURE 137 MCKESSON: NET REVENUE BY BUSINESS SEGMENT, 2014 AND 2015 ($BILLION)
  • FIGURE 138 OPTUM: OVERALL FINANCIALS, 2012-2014 ($BILLION)
  • FIGURE 139 OPTUM: NET REVENUE, BY BUSINESS, 2014 ($BILLION)
  • FIGURE 140 PHILIPS: OVERALL FINANCIALS, 2012-2014 ($BILLION)
  • FIGURE 141 PHILIPS: NET REVENUE BY BUSINESS SEGMENTS
  • FIGURE 142 SIEMENS: OVERALL FINANCIALS, 2012-2014 ($BILLION)
  • FIGURE 143 SIEMENS: NET REVENUE, BY SEGMENTS, 2014 ($BILLION)
  • FIGURE 144 XEROX: OVERALL FINANCIALS, 2012-2014 ($BILLION)
  • FIGURE 145 XEROX: NET REVENUE BY BUSINESS SEGMENT
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