Global Big Data in Healthcare Market Research Report, Trends & Forecast

A quick peek into the report

Market Overview

The global big data in healthcare market was estimated to be worth $14.25 billion in 2017, and is expected to grow over $68.75 billion by 2

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.

Key Questions Answered in this 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 2

Report Description

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

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 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.

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