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

  • ID: 4495364
  • Report
  • Region: Global
  • 303 pages
  • BIS Research
1 of 7
Global Big Data in Healthcare Market to Reach $68.75 Billion by 2025

FEATURED COMPANIES

  • Aetna, Inc.
  • eClinicalWorks
  • Health Catalyst
  • MedeAnalytics, Inc.
  • Philips Healthcare
  • SAS
  • MORE

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.


Enterprisewide customers will receive an Excel spreadsheet containing data in the report such as tables/market numbers.
READ MORE
Note: Product cover images may vary from those shown
2 of 7

FEATURED COMPANIES

  • Aetna, Inc.
  • eClinicalWorks
  • Health Catalyst
  • MedeAnalytics, Inc.
  • Philips Healthcare
  • SAS
  • MORE

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

Note: Product cover images may vary from those shown
3 of 7

Loading
LOADING...

4 of 7

FEATURED COMPANIES

  • Aetna, Inc.
  • eClinicalWorks
  • Health Catalyst
  • MedeAnalytics, Inc.
  • Philips Healthcare
  • SAS
  • MORE

Amid rising healthcare costs, increasing rates of chronic diseases, aging population and declining reimbursement costs, hospitals and other healthcare organizations are under considerable pressure to prioritize investments focusing on improving outcomes and resource management. The increasing supply of health-related data from various sources has the potential to transform the healthcare delivery system, reduce costs, improve patient outcomes and provide value-based care. The volume of healthcare data accounted for over 700 exabytes in 2017 from 153 million in 2013 and is projected to grow to 2,314 exabytes by 2020. Falling storage costs, emergence of cloud-based services and subscription models, government initiatives and regulatory mandates to encourage adoption of healthcare information systems and increasing adoption of mHealth, eHealth and wearable technologies among consumers are expected to drive the growth of the market.

Organizations are employing analytical tools and artificial intelligence and machine learning techniques on this growing pool of data to derive data-driven insights to reduce healthcare costs, enhance revenue streams, develop personalized medicine, and manage proactive patient care. Among, components and services, analytics services contributed the dominant share of $5.80 billion in 2017 and are expected to be the fastest growing segment throughout the forecast period. Financial analytics is the most prominent application of big data and contributed a market share of $2.38 billion 2016, due to early application of analytics for improving financial outcomes by analysing performance across revenue cycle management, insurance claims handling and fraud detection. However, clinical analytics is the priority investment for most of the organizations and is thus expected to witness the highest CAGR of 23.77% from 2017 to 2025, to reach the value of $11.35 billion by 2025. The access to large volumes of medical data has paved way for massive advances in clinical research, development of precision medicine and clinical decision support tools, speedier drug discovery and opened new arrays for managing chronic diseases.

While North America has been the leading market for big data in healthcare due to early adoption of the technology in the region, APAC is anticipated to grow at the fastest rate in the forecast period as development of big data infrastructure, and applications has become a priority field of investment for governments of the emerging economies of India and China. However, challenges must be overcome to improve connectivity and linkage between existing databases is to realize the complete potential of data-driven health care systems. National and international platforms need to be established that can consolidate patient data over time and across different clinics.

Encouraging adoption of healthcare information systems, promoting usage of interoperable shared electronic health records (EHRs) and appropriate security measures to protect sensitive information, adoption of standard clinical terminologies, and building a more collaborative research environment will play a key role in improving the use of data analytics tools among the healthcare organizations. Substantial commitment and collaboration is demanded from all the stakeholders, along with a strong governance framework to ensure effective use of big data.

Note: Product cover images may vary from those shown
5 of 7
  • Aetna, Inc.
  • Allscripts Healthcare Solutions, Inc.
  • Cerner Corporation
  • Cognization Technology Solutions Corporation
  • Computer Programs and Systems
  • DELL
  • eClinicalWorks
  • Epic Systems
  • GE Healthcare
  • Health Catalyst
  • IBM Corporation
  • McKesson Corporation
  • MedeAnalytics, Inc.
  • Optum
  • Oracle Corporation
  • Philips Healthcare
  • Premier, Inc.
  • SAP
  • SAS
  • Siemens Healthineer
  • Tableau Software, Inc.
  • Truven Health Analytics
  • United Health Group
  • Xerox
Note: Product cover images may vary from those shown
6 of 7
7 of 7
Note: Product cover images may vary from those shown
Adroll
adroll