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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

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.

SKU: BH004A
Published Year: 2016
 
 

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.

TABLE OF CONTENT
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 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 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
5.1 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
7.2.1.8.1 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
8.1 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
9.1 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
10.1 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)$BILLION
10.10.3 KEY DEVELOPMENTS
LIST OF TABLES
TABLE 1 MARKET ENGINEERING AND ESTIMATION FOR BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR: CONSIDERATIONS AND CROSS MAPPING
TABLE 2 ASSUMPTION TABLE
TABLE 3 LIMITATIONS
TABLE 4 BUYERS AND SUPPLIERS IN BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
TABLE 5 KEY FACTORS CONSIDERED FOR THREAT FROM NEW ENTRANTS: BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
TABLE 6 KEY FACTORS AFFECTING BARGAINING POWER OF BUYERS: BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
TABLE 7 KEY FACTORS AFFECTING THE BARGAINING POWER OF SUPPLIERS: BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
TABLE 8 KEY FACTORS AFFECTING THREAT OF SUBSTITUTE PRODUCTS OR SERVICES: BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
TABLE 9 KEY FACTORS DETERMINING RIVALRY AMONG EXISTING FIRMS: BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
TABLE 10 KEY REGULATIONS/REGULATORY BODIES IN BIG DATA ANALYTICS IN HEALTHCARE SECTOR
TABLE 11 CONSORTIUMS IN BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
TABLE 12 SOME KEY PLAYER’S PATENTS IN BIG DATA ANALYTICS IN THE HEATHCARE SECTOR (2013-2015)
TABLE 13 KEY STANDARDS FOR BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR
TABLE 14 TYPES OF HEALTHCARE PAYERS
TABLE 15 TYPES OF HEALTHCARE SERVICE PROVIDERS
TABLE 16 THIRD PARTY CARE ORGANIZATIONS
TABLE 17 BIG DATA ANALYTICS IN THERAPEUTICS
TABLE 18 GLOBAL BIG DATA ANALYTICS MARKET IN THE HEALTHCARE SECTOR, BY COMPONENTS AND SERVICES, 2014-2022 ($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
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
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.

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