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Global Big Data in Healthcare Market: Analysis and Forecast, 2017-2025 (Focus on Components and Services, Applications, Competitive Landscape and Country Analysis)

March 2018 | 303 pages | ID: G28B824CF730EN
BIS Research Inc.

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Health data has been growing at unprecedented rates, driven by fall in storage costs, emergence of cloud storage, growing regulatory mandates and the increasing government initiatives to promote adoption of healthcare information systems. The increasing adoption of wearable devices, at-home testing services and mhealth applications that are empowering patients to proactively manage their health are further contributing to the pool of personal data. The availability of large volumes of health information has paved way for massive advances in clinical research, development of precision medicine and clinical decision support tools, quicker drug discovery and more detailed view of population health, which has opened new arrays for managing chronic diseases.

The global big data in healthcare market amounted to $11.45 billion in 2016 and is expected to witness a double-digit growth throughout the forecast period of 2017-2025.

The research study is a compilation of various segmentations including the market breakdown by components and services, by application, and by region. This report provides a detailed market analysis and forecast of hardware, software and services, and prescriptive, descriptive and predictive analytics services. Additionally, it also includes analysis of applications of big data for clinical analytics, financial analytics, and operational analytics.

The market has been analyzed based on various micro and macro trends influencing it. While highlighting the key driving and restraining forces for this dynamic market, the report also provides a comprehensive section on competitive landscape, industry attractiveness, market share analysis, and competitive benchmarking within the global big data in the healthcare market.

The following key questions have been addressed in the report:
  • How has the big data in healthcare market evolved in the past and how is it anticipated to evolve during the forecast period from 2017 to 2025?
  • What are the major market factors propelling the growth of the market?
  • What are the various challenges that the industry is facing which need to be addressed?
  • Who are the key players across components, services, applications and regions for big data in healthcare?
  • What are the key developmental strategies adopted by the key players to stand out in this market?
  • What were the market shares of the different data analytics services providers in 2017?
  • How will the market for each component and application of big data in healthcare market grow during the forecast period? What will be the revenue generated by each segment by the end of 2025?
  • Which applications are an investment priority in different regions and why? What will be the revenue generated through each application through the forecast period?
The report also includes an exhaustive analysis of the market for each geographical region, namely North America, Europe, Asia-Pacific, Latin America and RoW. Each geographical region analysis details the individual push and pull forces, and market for components and services and analytics applications, in addition to the key players from that region.

The report also examines the role of the leading market players involved in the industry. The company profiles section highlights significant information about the key companies, such as their product portfolio, financial positions, and the SWOT analysis of these players. Some of the key players in the big data in healthcare market are McKesson Corporation, Allscripts, Epic Systems, Cerner Corporation, SAP, SAS, and Tableau, among others.
EXECUTIVE SUMMARY

1 REPORT SCOPE AND METHODOLOGY

1.1 Scope of the Report
1.2 Key Objectives
1.3 Research Methodology
  1.3.1 Key Data Points From Primary Sources
  1.3.2 Key Data Points from Secondary Sources
  1.3.3 Data Triangulation
  1.3.4 Bottom-Up Approach (Segmental Analysis)
  1.3.5 Top-Down Approach (Segmental Analysis)
  1.3.6 Assumptions and Limitations
  1.3.7 Assumptions and Limitations for Market Estimation and Forecast

2 MARKET OVERVIEW

2.1 Big Data Overview
2.3 Big Data Users in Healthcare

3 MARKET DYNAMICS

3.1 Impact Analysis of Market Drivers and Challenges
3.2 Market Drivers
3.3 Market Challenges
3.4 Market Opportunities

4 COMPETITIVE LANDSCAPE

4.1 Market Share Analysis
4.2 Key Developments and Strategies
  4.2.1 Product Launches
  4.2.2 Mergers and Acquisitions
  4.2.3 Collaborations, Partnerships and Agreements

5 INDUSTRY ANALYSIS

5.1 Regulatory Scenario
5.2 Consortiums and Associations
5.3 Standards

6 GLOBAL BIG DATA IN HEALTHCARE MARKET BY COMPONENTS AND SERVICES

6.1 Overview
6.2 Hardware
  6.2.1 Data Storage
  6.2.2 Servers
  6.2.3 Networking
6.3 Software
  6.3.1 Electronic Health Records
  6.3.2 Practice Management Software
  6.3.3 Revenue Cycle Management Software
  6.3.4 Workforce Management Software
6.4 Analytics Services
  6.4.1 Descriptive Analytics
  6.4.2 Prescriptive Analytics
  6.4.3 Predictive Analytics

7 GLOBAL BIG DATA IN HEALTHCARE MARKET BY APPLICATION

7.1 Overview
7.2 Clincial Data Analytics
  7.2.1 Quality Care
  7.2.2 Population Health Management
  7.2.3 Clinical Decision Support
  7.2.4 Precision Medicine
  7.2.5 Reporting Compliance
7.3 Financial Analytics
  7.3.1 Claims Processing
  7.3.2 Revenue Cycle Management Software
  7.3.3 Risk Assesment
7.4 Operational Analytics
  7.4.1 Workforce Analytics
  7.4.2 Supply Chain Analytics

8 GLOBAL BIG DATA IN HEALTHCARE MARKET BY REGION

8.1 Overview
8.2 North America
  8.2.1 The U.S.
  8.2.2 Canada
8.3 Europe
  8.3.1 The U.K
  8.3.2 France
  8.3.3 Spain
  8.3.4 Italy
  8.4.5 Germany
  8.4.6 Others
8.4 Asia Pacific
  8.4.1 China
  8.4.2 Japan
  8.4.3 India
  8.4.4 Australia
  8.4.5 Others
8.5 Rest of the World
  8.5.1 Latin America
  8.5.2 Middle East and Africa

9 COMPANY PROFILES

9.1 Aetna, Inc.
  9.1.1 Aetna, Inc. Overview
  9.1.2 Active Health Management Overview
  9.1.3 Product Portfolio
  9.1.4 Financials
    9.1.4.1 Financial Summary
  9.1.5 SWOT Analysis
9.2 Allscripts Healthcare Solutions, Inc.
  9.2.1 Overview
  9.2.2 Product Portfolio
  9.2.3 Financials
    9.2.3.1 Financial Summary
  9.2.4 SWOT Analysis
9.3 Cerner Corporation
  9.3.1 Overview
  9.3.2 Product Portfolio
  9.3.3 Financials
    9.3.3.1 Financial Summary
  9.3.4 SWOT Analysis
9.4 Cognization Technology Solutions Corporation
  9.4.1 Overview
  9.4.2 Product Portfolio
  9.4.3 Financials
    9.4.3.1 Financial Summary
  9.4.4 SWOT Analysis
9.5 Computer Programs and Systems
  9.5.1 Overview
  9.5.2 Product Portfolio
  9.5.3 Financials
    9.5.3.1 Financial Summary
  9.5.4 SWOT Analysis
9.6 DELL
  9.6.1 Overview
  9.6.2 Product Portfolio
  9.6.3 Financials
    9.6.3.1 Financial Summary
  9.6.4 SWOT Analysis
9.7 Epic Systems
  9.7.1 Overview
  9.7.2 Product Portfolio
  9.7.3 Corporate Summary
  9.7.4 SWOT Analysis
9.8 eClinicalWorks
  9.8.1 Overview
  9.8.2 Product Portfolio
  9.8.3 Corporate Summary
  9.8.4 SWOT Analysis
9.9 GE Healthcare
  9.9.1 Overview
  9.9.2 Product Portfolio
  9.9.3 Financials
    9.9.3.1 Financial Summary
  9.9.4 SWOT Analysis
9.10 Health Catalyst
  9.10.1 Overview
  9.10.2 Product Portfolio
  9.10.3 Corporate Summary
  9.10.4 SWOT Analysis
9.11 IBM Corporation
  9.11.1 IBM Corporation Overview
  9.11.2 Truven Health Analytics Overview
  9.11.3 IBM Product Portfolio
  9.11.4 Truven Health Analytics Product Portfolio
  9.11.5 Financials
    9.11.5.1 Financial Summary
  9.11.6 SWOT Analysis
9.12 McKesson Corporation
  9.12.1 Overview
  9.12.2 Product Portfolio
  9.12.3 Financials
    9.12.3.1 Financial Summary
  9.12.4 SWOT Analysis
9.13 MedeAnalytics, Inc.
  9.13.1 Overview
  9.13.2 Product Portfolio
  9.13.3 Corporate Summary
  9.13.4 SWOT Analysis
9.14 Optum
  9.14.1 Optum Overview
  9.14.2 United Health Group Overview
  9.14.3 Product Portfolio
  9.14.4 Financials
    9.14.4.1 Financial Summary
  9.14.5 SWOT Analysis
9.15 Oracle Corporation
  9.15.1 Overview
  9.15.2 Product Portfolio
  9.15.3 Financials
    9.15.3.1 Financial Summary
  9.15.4 SWOT Analysis
9.16 Philips Healthcare
  9.16.1 Overview
  9.16.2 Product Portfolio
  9.16.3 Financials
    9.16.3.1 Financial Summary
  9.16.4 SWOT Analysis
9.17 Premier, Inc.
  9.17.1 Overview
  9.17.2 Product Portfolio
  9.17.3 Financials
    9.17.3.1 Financial Summary
  9.17.4 SWOT Analysis
9.18 SAP
  9.18.1 Overview
  9.18.2 Product Portfolio
  9.18.3 Financials
    9.18.3.1 Financial Summary
  9.18.4 SWOT Analysis
9.19 SAS
  9.19.1 Overview
  9.19.2 Product Portfolio
  9.19.3 Corporate Summary
  9.19.4 SWOT Analysis
9.20 Siemens Healthineer
  9.20.1 Siemens Healthineer Overview
  9.20.2 Siemens Overview
  9.20.3 Product Portfolio
  9.20.4 Financials
    9.20.4.1 Financial Summary
  9.20.5 SWOT Analysis
9.21 Tableau Software, Inc.
  9.21.1 Overview
  9.21.2 Product Portfolio
  9.21.3 Financials
    9.21.3.1 Financial Summary
  9.21.4 SWOT Analysis
9.22 Xerox
  9.22.1 Overview
  9.22.2 Product Portfolio
  9.22.3 Financials
    9.22.3.1 Financial Summary
  9.22.4 SWOT Analysis

LIST OF TABLES

1 IMPACT ANALYSIS OF DRIVERS

2 IMPACT ANALYSIS OF CHALLENGES

3 PRODUCT LAUNCHES

4 MERGERS AND ACQUISITIONS

5 COLLABORATIONS, PARTNERSHIPS AND AGREEMENTS

6 REGULATORY BODIES

7 CONSORTIUMS/ASSOCIATIONS

8 KEY STANDARDS FOR BIG DATA IN HEALTHCARE

9 TABLE: SOME OF THE BIG DATA IN HEALTHCARE HARDWARE VENDORS

10 TABLE: SOME OF THE BIG DATA IN HEALTHCARE HARDWARE VENDORS

11 SOME OF THE BIG DATA IN HEALTHCARE SERVICE PROVIDERS

12 KEY BIG DATA IN HEALTHCARE INITIATIVES TAKEN IN EUROPE

13 KEY INITIATIVES TAKEN BY THE CHINESE GOVERNMENT IN FAVOR OF HEALTHCARE IT

14 THE U.S. BIG DATA IN HEALTHCARE MARKET BY COMPONENT, 2016-2025 ($MILLION)

15 CANADA BIG DATA IN HEALTHCARE MARKET BY COMPON+C16ENT, 2016-2025 ($MILLION)

16 THE U.K. BIG DATA IN HEALTHCARE MARKET BY COMPONENT, 2016-2025 ($MILLION)

17 FRANCE BIG DATA IN HEALTHCARE MARKET BY COMPONENT, 2016-2025 ($MILLION)

18 GERMANY BIG DATA IN HEALTHCARE MARKET BY COMPONENT, 2016-2025 ($MILLION)

19 SPAIN BIG DATA IN HEALTHCARE MARKET BY COMPONENT, 2016-2025 ($MILLION)

20 ITALY BIG DATA IN HEALTHCARE MARKET BY COMPONENT, 2016-2025 ($MILLION)

21 OTHERS BIG DATA IN HEALTHCARE MARKET BY COMPONENT, 2016-2025 ($MILLION)

22 CHINA BIG DATA IN HEALTHCARE MARKET BY COMPONENT, 2016-2025 ($MILLION)

23 JAPAN BIG DATA IN HEALTHCARE MARKET BY COMPONENT, 2016-2025 ($MILLION)

24 INDIA BIG DATA IN HEALTHCARE MARKET BY COMPONENT, 2016-2025 ($MILLION)

25 OTHERS BIG DATA IN HEALTHCARE MARKET BY COMPONENT, 2016-2025 ($MILLION)

26 LATAM BIG DATA IN HEALTHCARE MARKET BY COMPONENT, 2016-2025 ($MILLION)

27 MIDDLE EAST AND AFRICA BIG DATA IN HEALTHCARE MARKET BY COMPONENT, 2016-2025 ($MILLION)

28 OVERVIEW - AETNA, INC.

29 OVERVIEW - ALLSCRIPTS HEALTHCARE SOLUTIONS, INC.

30 OVERVIEW - ACTIVE HEALTH MANAGEMENT

31 OVERVIEW - CERNER CORPORATION

32 OVERVIEW - COGNIZATION TECHNOLOGY SOLUTIONS CORPORATION

33 OVERVIEW - COMPUTER PROGRAMS AND SYSTEMS

34 OVERVIEW - DELL

35 OVERVIEW - EPIC SYSTEMS

36 OVERVIEW - ECLINICALWORKS

37 OVERVIEW - GE HEALTHCARE

38 OVERVIEW - HEALTH CATALYST

39 OVERVIEW - IBM CORPORATION

40 OVERVIEW - TRUVEN HEALTH ANALYTICS

41 OVERVIEW - MCKESSON CORPORATION

42 OVERVIEW - MEDEANALYTICS, INC.

43 OVERVIEW - OPTUM

44 OVERVIEW - UNITED HEALTH GROUP

45 OVERVIEW - CORPORATION

46 OVERVIEW - PHILIPS HEALTHCARE

47 OVERVIEW - PREMIER, INC.

48 OVERVIEW - SAP

49 OVERVIEW - SAS

50 OVERVIEW - SIEMENS HEALTHINEER

51 OVERVIEW - SIEMENS+C29

52 OVERVIEW - TABLEAU SOFTWARE, INC.

53 OVERVIEW - XEROX

LIST OF FIGURES

1 MARKET DRIVERS AND CHALLENGES

2 GLOBAL BIG DATA IN HEALTHCARE MARKET BY COMPONENT, 2016

3 GLOBAL BIG DATA IN HEALTHCARE MARKET BY COMPONENT, 2025

4 GLOBAL BIG DATA IN HEALTHCARE MARKET BY APPLICATION, 2016 & 2025

5 GLOBAL BIG DATA IN HEALTHCARE MARKET BY REGION, 2016

6 GLOBAL BIG DATA IN HEALTHCARE MARKET BY REGION, 2025

7 GLOBAL BIG DATA IN HEALTHCARE MARKET CAGR % (2017-2025) BY COUNTRY

8 SCOPE OF THE REPORT

9 THE SECONDARY DATA SOURCES USED IN THIS STUDY

10 BOTTOM UP APPROACH

11 TOP DOWN APPROACH

12 BIG DATA USERS IN HEALTHCARE INDUSTRY

13 MARKET DYNAMICS GLOBAL BIG DATA IN THE HEALTHCARE MARKET

14 ADOPTION OF EHR AMONG NON-FEDERAL ACUTE CARE HOSPITALS IN THE U.S.: 2009-2015

15 MARKET SHARE DATA ANALYTICS IN HEALTHCARE

16 EHR MARKET SHARE

17 SHARE OF DIFFERENT STRATEGIES IN THE MARKET

18 SEGMENTATION OF THE BIG DATA IN HEALTHCARE MARKET BY COMPONENT

19 GLOBAL BIG DATA IN HEALTHCARE MARKET BY COMPONENT ($MILLION

20 IMPORTANCE OF HARDWARE COMPONENTS IN BIG DATA ANALYTICS IN THE HEALTHCARE SECTOR

21 SOFTWARE BY TYPE

22 EHR ADOPTION RATES AMONG PHYSICIANS: TOP 10 COUNTRIES

23 ELECTRONIC HEALTH PURCHASE: KEY DRIVERS

24 ADVANTAGES OF PRACTICE MANAGEMENT SOFTWARE

25 ADVANTAGES OF REVENUE CYCLE MANAGEMENT SOFTWARE

26 ADVANTAGES OF WORKFORCE MANAGEMENT SOFTWARE

27 SEGMENTATION OF HEALTHCARE ANALYTICS APPLICATIONS

28 GLOBAL BIG DATA IN HEALTHCARE MARKET BY APPLICATION

29 USE OF CLINICAL DATA ANALYTICS

30 USE OF CLINICAL DATA ANALYTICS IN RECENT HEALTHCARE INITIATIVES

31 APPLICATIONS OF CLINICAL DATA ANALYTICS

32 BENEFITS OF CLINICAL DATA ANALYTICS IN QUALITY CARE

33 POPULATION HEALTH MANAGEMENT PROCEDURE

34 BENEFITS OF CLINICAL DATA ANALYTICS IN POPULATION HEALTH MANAGEMENT

35 CLINICAL DECISION SUPPORT PROCESS

36 BENEFITS OF CLINICAL DECISION SUPPORT IN BIG DATA HEALTHCARE

37 BENEFITS OF BIG DATA ANALYTICS IN PRECISION HEALTH

38 BENEFITS OF BIG DATA ANALYTICS IN REPORTING AND COMPLIANCE

39 FINANCIAL ANALYTICS SUB-SEGMENTS

40 CLAIMS PROCESSING PROCEDURE

41 BENEFITS OF CLAIMS PROCESSING

42 PROCESS FOR REVENUE CYCLE MANAGEMENT

43 STEPS IN RISK ASSESSMENT

44 SOME FINANCIAL RISKS ASSOCIATED WITH HEALTHCARE INDUSTRY

45 BENEFITS OF BIG DATA ANALYTICS IN RISK ASSESSMENT

46 OPERATIONAL ANALYTICS SUB-SEGMENTS

47 IMPORTANT ELEMENTS IN WORKFORCE ANALYTICS

48 BENEFITS OF WORKFORCE ANALYTICS

49 PROCESS OF SUPPLY CHAIN IN HEALTHCARE

50 BENEFITS OF SUPPLY CHAIN ANALYTICS IN HEALTHCARE

51 GLOBAL BIG DATA IN HEALTHCARE MARKET BY REGION ($MILLION)

52 DRIVERS AND CHALLENGES IN THE HEALTHCARE BIG DATA ANALYTICS MARKET IN NORTH AMERICAN REGION

53 NORTH AMERICA BIG DATA IN HEALTHCARE MARKET BY COMPONENT ($MILLION)

54 NORTH AMERICA BIG DATA IN HEALTHCARE MARKET BY APPLICATION ($MILLION)

55 NORTH AMERICA BIG DATA IN HEALTHCARE MARKET BY COUNTRY ($MILLION)

56 THE U.S. BIG DATA IN HEALTHCARE MARKET, 2016-2025 ($MILLION)

57 PERCENTAGE OF RESPONDENTS SPENDING 1-5% OF THEIR OPERATING BUDGET ON BIG DATA ANALYTICS

58 TOP CURRENT AND FUTURE ANALYTICS DRIVERS IN THE U.S

59 BIG DATA ANALYTICS INVESTMENT PRIORITIES IN THE U.S. HOSPITALS

60 SEGMENTS WITNESSING EARLY ADOPTION OF HEALTHCARE ANALYTICS IN CANADA

61 CANADA ACTIVE EHR USERS

62 CURRENT AND FUTURE STATE OF CANADIAN HEALTHCARE ANALYTICS

63 CANADA BIG DATA IN HEALTHCARE MARKET, 2016-2025 ($MILLION)

64 TOTAL IT BUDGET AS PERCENTAGE OF ANNUAL HOSPITAL BUDGET

65 EUROPE BIG DATA IN HEALTHCARE MARKET BY COMPONENTS ($MILLION

66 EUROPE BIG DATA IN HEALTHCARE MARKET BY APPLICATION ($MILLION)

67 EUROPE BIG DATA IN HEALTHCARE MARKET BY COUNTRY ($MILLION)

68 THE U.K. BIG DATA IN HEALTHCARE MARKET, 2016-2025 ($MILLION)

69 FRANCE BIG DATA IN HEALTHCARE MARKET, 2016-2025 ($MILLION)

70 SPAIN BIG DATA IN HEALTHCARE MARKET, 2016-2025 ($MILLION)

71 ITALY BIG DATA IN HEALTHCARE MARKET, 2016-2025 ($MILLION)

72 GERMANY BIG DATA IN HEALTHCARE MARKET, 2016-2025 ($MILLION)

73 OTHERS BIG DATA IN HEALTHCARE MARKET, 2016-2025 ($MILLION)

74 APAC BIG DATA IN HEALTHCARE MARKET BY COMPONENTS ($BILLION)

75 APAC BIG DATA IN HEALTHCARE MARKET BY APPLICATION ($MILLION)

76 APAC BIG DATA IN HEALTHCARE MARKET BY COUNTRY ($MILLION)

77 CLINICAL INFORMATION SYSTEM IMPLEMENTATION RATES IN CHINA, 2013-2014

78 CHINA BIG DATA IN HEALTHCARE MARKET, 2016-2025 ($MILLION)

79 JAPAN BIG DATA IN HEALTHCARE MARKET, 2016-2025 ($MILLION)

80 INDIA BIG DATA IN HEALTHCARE MARKET, 2016-2025 ($MILLION)

81 AUSTRALIA BIG DATA IN HEALTHCARE MARKET, 2016-2025 ($MILLION)

82 OTHERS BIG DATA IN HEALTHCARE MARKET, 2016-2025 ($MILLION)

83 ROW BIG DATA IN HEALTHCARE MARKET BY COMPONENTS

84 ROW BIG DATA IN HEALTHCARE MARKET BY APPLICATION ($MILLION)

85 MIDDLE EAST AD AFRICA BIG DATA IN HEALTHCARE MARKET, 2016-2025 ($MILLION)

86 LATAM BIG DATA IN HEALTHCARE MARKET, 2016-2025 ($MILLION)

87 ACTIVE HEALTH MANAGEMENT PRODUCT PORTFOLIO

88 AETNA INC.: OVERALL FINANCIALS (2014-2016)

89 AETNA INC.: REVENUE BY BUSINESS SEGMENT (2014-2016)

90 AETNA INC.: REVENUE BY REGION (2014-2016)

91 ACTIVE HEALTH MANAGEMENT SWOT ANALYSIS

92 ALLSCRIPTS HEALTHCARE SOLUTIONS INC. PRODUCT PORTFOLIO

93 ALLSCRIPTS HEALTHCARE SOLUTIONS, INC.: OVERALL FINANCIALS (2014-2016)

94 ALLSCRIPTS HEALTHCARE SOLUTIONS, INC.: REVENUE BY REGION (2014-2016)

95 ALLSCRIPTS HEALTHCARE SOLUTIONS, INC. REVENUE BY BUSINESS SEGMENT (2014-2016)

96 ALLSCRIPTS SWOT ANALYSIS

97 CERNER CORPORATION: PRODUCT PORTFOLIO

98 CERNER CORPORATION: OVERALL FINANCIALS (2014-2016)

99 CERNER CORPORATION: NET REVENUE BY REGION (2014-2016)

100 CERNER CORPORATION SWOT ANALYSIS

101 COGNIZANT TECHNOLOGY SOLUTIONS PRODUCT PORTFOLIO

102 COGNIZANT TECHNOLOGY SOLUTIONS CORPORATION OVERALL FINANCIAL (2014-2016)

103 COGNIZANT TECHNOLOGY SOLUTIONS CORPORATION NET REVENUE BY REGION (2014-2016)

104 COGNIZANT TECHNOLOGY SOLUTIONS CORPORATION NET REVENUE BY BUSINESS SEGMENT (2014-2016)

105 COGNIZANT TECHNOLOGY SOLUTIONS SWOT ANALYSIS

106 COMPUTER PROGRAMS AND SYSTEMS, INC. PRODUCT PORTFOLIO

107 COMPUTER PROGRAMS AND SYSTEMS, INC: OVERALL FINANCIALS(2014-2016

108 COMPUTER PROGRAMS AND SYSTEMS,INC: REVENUE BY SEGMENT (2014-2016)

109 COMPUTER PROGRAMS AND SYSTEMS ,INC :REVENUE(U.S.),2014-2016

110 COMPUTER PROGRAMS AND SYSTEMS ,INC :REVENUE(ROW),2014-2016

111 COMPUTER PROGRAMS AND SYSTEMS, INC. SWOT ANALYSIS

112 DELL: OVERALL FINANCIALS (2014-2016

113 DELL: NET REVENUE BY BUSINESS SEGMENT (2014-2015

114 DELL: NET REVENUE BY REGION (2014-2015)

115 DELL SWOT ANALYSIS

116 EPIC SYSTEMS PRODUCT PORTFOLIO

117 EPIC SYSTEMS SWOT ANALYSIS

118 ECLINICALWORKS PRODUCT PORTFOLIO

119 ECLINICALWORKS SWOT ANALYSIS

120 GE HEALTHCARE PRODUCT PORTFOLIO

121 GE CORPORATION: OVERALL FINANCIALS (2014-2016)

122 GE CORPORATION: NET REVENUE BY REGION (2014-2016)

123 GE CORPORATION: NET REVENUE BY BUSINESS SEGMENT (2014-2016)

124 GE CORPORATION: PERCENTAGE OF REVENUES BY HEALTHCARE SUB SEGMENTS : 2016

125 GE HEALTHCARE SWOT ANALYSIS

126 HEALTH CATALYST PRODUCT PORTFOLIO

127 HEALTH CATALYST SWOT ANALYSIS

128 IBM CORPORATION : OVERALL FINANCIALS (2014-2016)

129 IBM CORPORATION : NET REVENUE BY REGION (2014-2016)

130 IBM CORPORATION: NET REVENUE BY BUSINESS SEGMENTS (2014-2016)

131 IBM CORPORATION SWOT ANALYSIS

132 MCKESSON CORPORATION PRODUCT PORTFOLIO

133 MCKESSON CORPORATION: OVERALL FINANCIALS (2015-2017)

134 MCKESSON CORPORATION: NET REVENUE BY BUSINESS SEGMENT (2015-2017)

135 MCKESSON CORPORATION SWOT ANALYSIS

136 MEDEANALYTICS INC. PRODUCT PORTFOLIO

137 MEDEANALYTICS INC. SWOT ANALYSIS

138 OPTUM PRODUCT PORTFOLIO

139 UNITED HEALTH GROUP : OVERALL FINANCIALS (2014-2016)

140 UNITED HEALTH GROUP : NET REVENUE BY BUSINESS SEGMENTS (2014-2016)+C27

141 UNITED HEALTH GROUP : NET REVENUE BY BUSINESS SEGMENT (2014-2016)

142 OPTUM SWOT ANALYSIS

143 ORACLE CORPORATION PRODUCT PORTFOLIO

144 ORACLE CORPORATION: OVERALL FINANCIALS (2015-2017)

145 ORACLE CORPORATION NET REVENUE BY REGION (2015-2017)

146 ORACLE CORPORATION NET REVENUE BY BUSINESS SEGMENT (2015-2017)

147 ORACLE CORPORATION SWOT ANALYSIS

148 PHILIPS HEALTHCARE PRODUCT PORTFOLIO

149 PHILIPS HEALTHCARE OVERALL FINANCIALS (2015-2017)

150 PHILIPS HEALTHCARE NET REVENUE BY REGION (2015-2017)

151 PHILIPS HEALTHCARE REVENUE BY BUSINESS SEGMENT (2015-2017)

152 PHILIPS HEALTHCARE SWOT ANALYSIS

153 PREMIER INC. PRODUCT PORTFOLIO

154 PREMIER INC.: OVERALL FINANCIALS (2014-2016)

155 PREMIER INC. REVENUE BY BUSINESS SEGMENT (2014-2016)

156 PREMIER INC. REVENUE BY BUSINESS SEGMENT (2014-2016)

157 PREMIER INC. SWOT ANALYSIS

158 SAP PRODUCT PORTFOLIO

159 SAP OVERALL FINANCIALS (2015-2017)

160 SAP NET REVENUE BY REGION (2015-2017)

161 SAP REVENUE BY BUSINESS SEGMENT (2015-2017)

162 SAP: CLOUD SUBSCRIPTIONS AND SUPPORT REVENUE BY REGION (2014-2016)

163 SAP: CLOUD AND SOFTWARE REVENUE BY REGION (2014-2016)

164 SAP SWOT ANALYSIS

165 SAS PRODUCT PORTFOLIO

166 SAS SWOT ANALYSIS

167 SIEMENS: PRODUCT PORTFOLIO

168 SIEMENS: OVERALL FINANCIALS (2014-2016)

169 SIEMENS: NET REVENUE BY REGION (2014-2016)

170 SIEMENS: NET REVENUE BY BUSINESS SEGMENT (2014-2016)

171 SIEMENS HEALTHINEERS SWOT ANALYSIS

172 TABLEAU SOFTWARE,INC. PRODUCT PORTFOLIO

173 TABLEAU SOFTWARE, INC.: OVERALL FINANCIALS (2014-2016)

174 TABLEAU SOFTWARE, INC.: NET REVENUE BY BUSINESS SEGMENTS (2014-2016)

175 TABLEAU SOFTWARE, INC.: NET REVENUE BY REGION (2014-2016)

176 TABLEAU SOFTWARE,INC. SWOT ANALYSIS

177 XEROX OVERALL FINANCIALS(2014-2016)

178 XEROX NET REVENUE BY BUSINESS SEGMENT (2014-2016)

179 XEROX NET REVENUE BY REGION (2014-2016)

180 XEROX SWOT ANALYSIS


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