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

Published Year: 2016
SKU: BH00355SA

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Report Description

Several forces are triggering the boost in the overall demand for Big Data integration in the healthcare industry. Governmental ag

View Updated Report: Global Big Data in Healthcare Market: Analysis and Forecast, 2017-  2025

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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.

View the update report- Global Big Data in Healthcare Market: Analysis and Forecast 2017-2025 

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 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.

Key Questions Answered in this Report

What are the key market trends and developments in 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?

Market Overview

The healthcare industry is in a period of rapid change. Advancements in the fields of genetics, biomedical, and information techno

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    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    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    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

3    EXECUTIVE SUMMARY

4    MARKET OVERVIEW

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 SECTOR
4.2    MARKET DYNAMICS
4.2.1    MARKET DRIVERS FOR BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
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    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    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    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
7.2.1.8.1    REGULATIONS
7.2.1.8.1.1    HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT (HIPAA)
7.2.1.8.1.2    HEALTH INFORMATION TECHNOLOGY FOR ECONOMIC AND CLINICAL HEALTH (HITECH) ACT
7.2.1.8.1.3    OTHER REGULATIONS/REGULATORY BODIES
7.2.1.8.2    MARKET TRENDS
7.2.1.8.3    KEY DEVELOPMENTS
7.2.1.8.4    KEY PARTICIPANTS
7.2.2    BIG DATA ANAYLTICS IN HEALTHCARE INDUSTRY, BY SOFTWARE TYPE AND DEPLOYMENT MODEL
7.2.2.1    MARKET STATISTICS
7.2.2.2    HEALTHCARE 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 SOFTWARES
7.2.2.2.5    OTHERS
7.2.2.3    BIG DATA ANALYTICS IN HEALTHCARE SECTOR, BY 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    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 SECTOR, BY ANALYTIC SERVICE APPLICATIONS

8    BIG DATA ANALYTICS IN HEALTHCARE SECTOR, BY ANALYTIC SERVICE APPLICATIONS
8.1    INTRODUCTION
8.1.1    MARKET STATISTICS
8.2    CLINICAL DATA ANALYTICS
8.2.1    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    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    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
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 SECTOR, BY GEOGRAPHY

9    BIG DATA ANALYTICS IN HEALTHCARE SECTOR, 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 PORTABILITYAND 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
9.3.2.1    MARKET TRENDS
9.3.2.2    MARKET DEVELOPMENTS
9.3.2.3    PARTICIPANTS
9.3.2.4    REGULATIONS
9.3.2.4.1    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)
9.5.2.5    KINGDOM OF SAUDI ARABIA (KSA)

10    KEY MARKET PLAYERS PROFILE

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
10.1    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

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 SECTOR
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    TYPES 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    MARKETING ENGINEERING AND ESTIMATION FOR BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR: CONSIDERATIONS AND CROSS MAPPING
TABLE 22    GLOBAL BIG DATA ANALYTICS SOFTWARE MARKET IN THE HEALTHCARE SECTOR, BY GEOGRAPHY, 2014-2022 ($MILLION)
TABLE 23    SOFTWARE DEPLOYMENT TYPE: KEY DEVELOPMENTS
TABLE 24    MARKETING ENGINEERING AND ESTIMATION FOR BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR: CONSIDERATIONS AND CROSS MAPPING
TABLE 25    GLOBAL BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR, BY ANALYTICS SERVICE TYPE, 2014-2022 ($BILLION)
TABLE 26    GLOBAL BIG DATA ANALYTICS SERVICES MARKET IN THE HEALTHCARE SECTOR, BY ANALYTIC SERVICE APPLICATIONS, 2014-2022 ($BILLION)
TABLE 27    GLOBAL BIG DATA ANALYTICS SERVICE MARKET IN THE HEALTHCARE SECTOR, BY GEOGRAPHY, 2014-2022 ($MILLION)
TABLE 28    KEY DEVELOPMENTS: HEALTHCARE ANALYTICS SERVICE TYPE
TABLE 29    GLOBAL BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR, BY ANALYTIC SERVICE APPLICATIONS, 2014-2022 ($BILLION)
TABLE 30    MARKETING ENGINEERING AND ESTIMATION FOR BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR: CONSIDERATIONS AND CROSS MAPPING
TABLE 31    GLOBAL BIG DATA CLINICAL ANALYTICS IN THE HEALTHCARE SECTOR, BY SERVICE TYPE, 2014-2022 ($MILLION)
TABLE 32    GLOBAL BIG DATA CLINICAL ANALYTICS IN THE HEALTHCARE SECTOR BY GEOGRAPHY, 2014-2022 ($MILLION)
TABLE 33    KEY DEVELOPMENTS IN CLINICAL DATA ANALYTICS
TABLE 34    MARKETING ENGINEERING AND ESTIMATION FOR BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR: CONSIDERATIONS AND CROSS MAPPING
TABLE 35    GLOBAL BIG DATA FINANCIAL ANALYTICS IN THE HEALTHCARE SECTOR, BY SERVICE TYPE, 2014-2022 ($MILLION)
TABLE 36    GLOBAL BIG DATA FINANCIAL ANALYTICS IN THE HEALTHCARE SECTOR BY GEOGRAPHY, 2014-2022 ($MILLION)
TABLE 37    KEY DEVELOPMENTS IN FINANCIAL ANALYTICS IN HEALTHCARE INDUSTRY
TABLE 38    MARKETING ENGINEERING AND ESTIMATION FOR BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR: CONSIDERATIONS AND CROSS MAPPING
TABLE 39    GLOBAL BIG DATA OPERATIONAL ANALYTICS IN THE HEALTHCARE SECTOR, BY SERVICE TYPE, 2014-2022 ($MILLION)
TABLE 40    GLOBAL BIG DATA OPERATIONAL ANALYTICS IN THE HEALTHCARE SECTOR BY GEOGRAPHY, 2014-2022 ($MILLION)
TABLE 41    KEY DEVELOPMENTS IN HEALTHCARE OPERATIONAL ANALYTICS
TABLE 42    GLOBAL BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR BY GEOGRAPHY
TABLE 43    NORTH AMERICAN COUNTRIES: KEY FACTORS DRIVING THE BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
TABLE 44    MARKETING ENGINEERING AND ESTIMATION FOR BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR: CONSIDERATIONS AND CROSS MAPPING
TABLE 45    NORTH AMERICA’S BIG DATA ANALYTICS MARKET IN THE HEALTHCARE SECTOR, BY COMPONENTS AND SERVICES, 2014-2022 ($BILLION)
TABLE 46    NORTH AMERICA’S BIG DATA ANALYTICS MARKET IN THE HEALTHCARE SECTOR, BY ANALYTIC SERVICE APPLICATIONS, 2014-2022 ($MILLION)
TABLE 47    EUROPEAN COUNTRIES: KEY FACTORS DRIVING BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
TABLE 48    MARKETING ENGINEERING AND ESTIMATION FOR BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR: CONSIDERATIONS AND CROSS MAPPING
TABLE 49    EUROPE’S BIG DATA ANALYTICS MARKET IN THE HEALTHCARE SECTOR, BY COMPONENTS AND SERVICES, 2014-2022 ($MILLION)
TABLE 50    EUROPE’S BIG DATA ANALYTICS MARKET IN THE HEALTHCARE SECTOR, BY ANALYTIC SERVICE APPLICATIONS, 2014-2022 ($MILLION)
TABLE 51    KEY DEVELOPMENTS IN THE DATA ANALYTICS IN THE HEALTHCARE SECTOR: EUROPE
TABLE 52    APAC COUNTRIES: FACTORS DRIVING BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
TABLE 53    MARKETING ENGINEERING AND ESTIMATION FOR BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR: CONSIDERATIONS AND CROSS MAPPING
TABLE 54    APAC’S BIG DATA ANALYTICS MARKET IN THE HEALTHCARE SECTOR, BY COMPONENTS AND SERVICES, 2014-2022 ($MILLION)
TABLE 55    APAC’S BIG DATA ANALYTICS MARKET IN THE HEALTHCARE SECTOR, BY ANALYTIC SERVICE APPLICATIONS, 2014-2022 ($BILLION)
TABLE 56    APAC: KEY DEVELOPMENTS IN HEALTHCARE ANALYTICS
TABLE 57    MENA COUNTRIES: FACTORS DRIVING BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
TABLE 58    MARKETING ENGINEERING AND ESTIMATION FOR BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR: CONSIDERATIONS AND CROSS MAPPING
TABLE 59    ROW’S BIG DATA ANALYTICS MARKET IN THE HEALTHCARE SECTOR, BY COMPONENTS AND SERVICES, 2014-2022 ($MILLION)
TABLE 60    ROW’S BIG DATA ANALYTICS MARKET IN THE HEALTHCARE SECTOR, BY ANALYTIC SERVICE APPLICATIONS, 2014-2022 ($MILLION)
TABLE 61    MENA REGION: KEY DEVELOPMENTS IN HEALTHCARE ANALYTICS
TABLE 62    CERNER CORPORATION: OVERALL FINANCIALS, FROM JANUARY 2015 TILL JULY 4, 2015 ($BILLION)
TABLE 63    CERNER: KEY DEVELOPMENTS AND STRATEGIES (2013-2015)
TABLE 64    COGNIZANT: OVERALL FINANCIALS, FROM JANUARY 2015 TILL JUNE 30, 2015 ($BILLION)
TABLE 65    COGNIZANT: KEY DEVELOPMENTS AND STRATEGIES (2013-2015)
TABLE 66    DELL: KEY DEVELOPMENTS AND STRATEGIES (2012-2014)
TABLE 67    EPIC SYSTEM CORPORATION: KEY DEVELOPMENTS AND STRATEGIES (2013-2015)
TABLE 68    GE: OVERALL FINANCIALS, JANUARY 2015 TILL JUNE 30, 2015 ($BILLION)
TABLE 69    GE HEALTHCARE: KEY DEVELOPMENTS AND STRATEGIES (2013-2015)
TABLE 70    MCKESSON: OVERALL FINANCIALS, 2015 ($BILLION)
TABLE 71    MCKESSON: KEY DEVELOPMENTS AND STRATEGIES (2013-2015)
TABLE 72    OPTUM: OVERALL FINANCIALS, FROM JANUARY 2015 TILL MARCH 31, 2015 ($BILLION)
TABLE 73    OPTUM: KEY DEVELOPMENTS AND STRATEGIES (2013-2015)
TABLE 74    PHILIPS: OVERALL FINANCIALS, FROM JANUARY 2015 TILL JUNE 30, 2015 ($BILLION)
TABLE 75    PHILIPS: KEY DEVELOPMENTS AND STRATEGIES (2013-2015)
TABLE 76    SIEMENS: OVERALL FINANCIALS, FROM JANUARY 2015 TILL JULY 30, 2015 ($BILLION)
TABLE 77    SIEMENS: KEY DEVELOPMENTS AND STRATEGIES (2013-2015)
TABLE 78    XEROX: OVERALL FINANCIALS, FROM JANUARY 2015 TILL JUNE 30, 2015 ($BILLION)
TABLE 79    XEROX: KEY DEVELOPMENTS AND STRATEGIES (2013-2015)

LIST OF FIGURES

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    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 SECTOR: 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 DEVELOPMENTS: 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 SECTOR, 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    REVENUE CYCLE MANAGEMENT SOFTWARE MERITS IN BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
FIGURE 77    KEY PLAYERS IN REVENUE CYCLE MANAGEMENT SOFTWARE IN BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
FIGURE 78    WORKFORCE MANAGEMENT SOFTWARE BENEFITS IN BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
FIGURE 79    WORKFORCE MANAGEMENT SOFTWARE KEY PROVIDERS IN BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
FIGURE 80    SOFTWARE DEPLOYMENT TYPE IN BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
FIGURE 81    SOME KEY PLAYERS PROVIDING ON PREMISE SOFTWARE DEPLOYMENT IN BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
FIGURE 82    SOFTWARE ON DEMAND: SOME KEY PROVIDERS IN BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
FIGURE 83    HEALTHCARE ANALYTICS SERVICES
FIGURE 84    BENEFITS OF DESCRIPTIVE ANALYTICS IN HEALTHCARE
FIGURE 85    SOME KEY PLAYERS IN HEALTHCARE DESCRIPTIVE ANALYTICS
FIGURE 86    BENEFITS OF PREDICTIVE ANALYTICS IN HEALTHCARE
FIGURE 87    SOME KEY PLAYERS IN HEALTHCARE PREDICTIVE ANALYTICS
FIGURE 88    BENEFITS OF PRESCRIPTIVE ANALYTICS IN HEALTHCARE
FIGURE 89    SOME KEY PLAYERS IN HEALTHCARE PRESCRIPTIVE ANALYTICS
FIGURE 90    SEGMENTATION OF HEALTHCARE ANALYTICS APPLICATIONS
FIGURE 91    HEALTHCARE ORGANIZATIONS ANALYTICS INVESTMENT PRIORITY
FIGURE 92    ANALYTICS SERVICE APPLICATIONS: STATISTICAL COVERAGE
FIGURE 93    CLINICAL DATA ANALYTICS APPLICATIONS
FIGURE 94    BENEFITS OF CLINICAL DATA ANALYTICS IN QUALITY CARE
FIGURE 95    POPULATION HEALTH MANAGEMENT PROCEDURE
FIGURE 96    BENEFITS OF BIG DATA ANALYTICS IN POPULATION HEALTH MANAGEMENT
FIGURE 97    CLINICAL DECISION SUPPORT PROCESS
FIGURE 98    BENEFITS OF BIG DATA ANALYTICS IN CLINICAL DECISION SUPPORT
FIGURE 99    BENEFITS OF BIG DATA ANALYTICS IN PRECISION HEALTH
FIGURE 100    BENEFITS OF BIG DATA ANALYTICS IN REPORTING AND COMPLIANCE
FIGURE 101    HEALTHCARE FINANCIAL ANALYTICS APPLICATIONS
FIGURE 102    CLAIMS PROCESSING PROCEDURE
FIGURE 103    BENEFITS OF BIG DATA ANALYTICS IN CLAIMS PROCESSING
FIGURE 104    HEALTHCARE REVENUE CYCLE
FIGURE 105    BENEFITS OF BIG DATA ANALYTICS IN HEALTHCARE REVENUE CYCLE MANAGEMENT
FIGURE 106    RISK ASSESSMENT STEPS
FIGURE 107    SOME FINANCIAL RISK ASSOCIATED WITH HEALTHCARE INDUSTRY
FIGURE 108    SOME BENEFITS OF BIG DATA ANALYTICS IN RISK ASSESSMENT
FIGURE 109    SOME KEY PLAYERS IN HEALTHCARE FINANCIAL ANALYTICS
FIGURE 110    HEALTHCARE OPERATIONAL ANALYTICS SUBSEGMENTS
FIGURE 111    WORKFORCE MANAGEMENT IMPORTANT ELEMENTS
FIGURE 112    BENEFITS OF WORKFLOW ANALYTICS IN HEALTHCARE
FIGURE 113    SUPPLY CHAIN HEALTHCARE
FIGURE 114    BENEFITS OF SUPPLY CHAIN ANALYTICS IN HEALTHCARE
FIGURE 115    SOME KEY PROVIDERS OF HEALTHCARE OPERATIONAL ANALYTICS
FIGURE 116    BIG DATA ANALYTICS IN HEALTHCARE INDUSTRY BY GEOGRAPHY
FIGURE 117    GEOGRAPHICAL MARKET STATISTICS: BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
FIGURE 118    GEOGRAPHICAL ANALYSIS: STATISTICAL COVERAGE
FIGURE 119    KEY FACTORS FOR GROWTH IN BIG DATA ANALYTICS IN THE HEALTHCARE INDUSTRY: NORTH AMERICA
FIGURE 120    KEY MARKET PLAYERS FOR BIG DATA ANALYTICS IN HEALTHCARE INDUSTRY: NORTH AMERICA
FIGURE 121    NORTH AMERICA: KEY REGULATIONS FOR BIG DATA ANAYTICS IN HEALTHCARE
FIGURE 122    KEY FACTORS FOR GROWTH IN BIG DATA ANALYTICS IN THE HEALTHCARE INDUSTRY: EUROPE
FIGURE 123    SOME KEY PLAYERS IN BIG DATA ANALYTICS IN THE HEALTHCARE INDUSTRY: EUROPE
FIGURE 124    ASIA PACIFIC: CHALLENGES IN THE IMPLEMENTATION OF BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
FIGURE 125    ASIA PACIFIC: KEY FACTORS THAT WILL DRIVE THE BIG DATA ANALYTICS MARKET IN THE HEALTHCARE SECTOR
FIGURE 126    ASIA PACIFIC: SOME OF THE KEY PLAYERS IN HEALTHCARE ANALYTICS
FIGURE 127    ROW: KEY FACTORS THAT WILL DRIVE THE GROWTH OF BIG DATA ANALYTICS IN HEALTHCARE SECTOR
FIGURE 128    MIDDLE EAST: KEY PARTICIPANTS IN HEALTHCARE ANALYTICS
FIGURE 129    MENA: KEY REGULATORY BODIES FOR DATA PROTECTION
FIGURE 130    CERNER CORPORATION: OVERALL FINANCIALS, 2012-2014 ($BILLION)
FIGURE 131    COGNIZANT: OVERALL FINANCIALS, 2012-2014 ($BILLION)
FIGURE 132    COGNIZANT: NET REVENUE, BY SEGMENTS, 2014 ($BILLION)
FIGURE 133    DELL: OVERALL FINANCIALS, 2011-2013 ($BILLION)
FIGURE 134    DELL: NET REVENUE, BY SEGMENTS, 2013 ($BILLION)
FIGURE 135    GE: OVERALL FINANCIALS, 2012-2014 ($BILLION)
FIGURE 136    GE: NET REVENUE, BY BUSINESS SEGMENTS, 2014 (PERCENTAGE)
FIGURE 137    MCKESSON: OVERALL FINANCIALS, 2012-2014 ($BILLION)
FIGURE 138    MCKESSON: NET REVENUE BY BUSINESS SEGMENT, 2014 AND 2015 ($BILLION)
FIGURE 139    OPTUM: OVERALL FINANCIALS, 2012-2014 ($BILLION)
FIGURE 140    OPTUM: NET REVENUE, BY BUSINESS, 2014 ($BILLION)
FIGURE 141    PHILIPS: OVERALL FINANCIALS, 2012-2014 ($BILLION)
FIGURE 142    PHILIPS: NET REVENUE BY BUSINESS SEGMENTS
FIGURE 143    SIEMENS: OVERALL FINANCIALS, 2012-2014 ($BILLION)
FIGURE 144    SIEMENS: NET REVENUE, BY SEGMENTS, 2014 ($BILLION)
FIGURE 145    XEROX: OVERALL FINANCIALS, 2012-2014 ($BILLION)
FIGURE 146    XEROX: NET REVENUE BY BUSINESS SEGMENT

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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