Global big data in healthcare market was valued over $ 12 billion in 2018 and is projected to grow at a CAGR of over 16% owing to increasing adoption of cloud analytics and storage. Health related data is growing at a rapid pace driven by the government initiatives to promote the adoption of healthcare information system and introduction of cloud storage. Moreover, increasing adoption of mobile health apps and wearable devices, are further stressing on the need for managing large amount of data to obtain critical information, thereby driving the demand for big data in healthcare sector. Additionally, elevating popularity of electronic prescriptions eliminates the need for paper-based prescriptions, which is further positively influencing the growth of the market.

Big data in healthcare market can be segmented based on component, deployment, analytics type, application, end user and region. On the basis of component, the market can be segmented into hardware, software and service. Software is the largest segment in the market and is poised to grow at brisk rate during the forecast period as well due to growing need for analysis of electronic patient data which is growing at a rapid pace. In terms of deployment, the market can be bifurcated into on-premise and cloud. On-premise is the dominant segment, however, cloud segment is expected to grow at the highest rate during the forecast period owing to myriad of benefits, such as efficient resource utilization, low maintenance and no capital cost, offered by cloud deployment.

Regionally, the market for big data in healthcare is gaining traction and expanding to various regions including Asia-Pacific, North America, Europe, South America and Middle East & Africa. Owing to the early adoption of technology and presence of major players in the region, North America dominated the market and is likely to continue its dominance in the coming years as well.

The major players operating in big data in healthcare market include Allscripts Healthcare Solutions, Inc., Cerner Corp., DELL EMC, Epic Systems Corp., GE Healthcare, Hewlett Packard Enterprise (HPE), International Business Machines Corporation (IBM), Microsoft Corporation, Oracle Corp., Optum Inc., etc. Major companies are developing advanced technologies and launching new products in order to stay competitive in the market. Other competitive strategies include mergers & acquisitions and new product developments. Since 2005, IBM is working on the development of its big data and analytics and has over 6800 patents to its name. IBM acquired Truven Health Analytics, which is aiding the company to strengthen its position in the market.

Years considered for this report:

Historical Years: 2014-2017

Base Year: 2018

Estimated Year: 2019

Forecast Period: 2020–2024

Objective of the Study:

  • To analyze and forecast the market size of global big data in healthcare market.
  • To classify and forecast global big data in healthcare market based on component, deployment, analytics type, application, end user and regional distribution.
  • To identify drivers and challenges for global big data in healthcare market.
  • To examine competitive developments such as expansions, new product launches, mergers & acquisitions, etc., in global big data in healthcare market.
  • To conduct pricing analysis for global big data in healthcare market.
  • To identify and analyze the profile of leading players operating in global big data in healthcare market.


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Some of the leading players in global big data in healthcare market include Allscripts Healthcare Solutions, Inc., Cerner Corp., DELL EMC, Epic Systems Corp., GE Healthcare, Hewlett Packard Enterprise (HPE), International Business Machines Corporation (IBM), Microsoft Corporation, Oracle Corp., Optum Inc., etc.

TechSci Research performed both primary as well as exhaustive secondary research for this study. Initially, TechSci Research sourced a list of service providers across the globe. Subsequently, TechSci Research conducted primary research surveys with the identified companies. While interviewing, the respondents were also enquired about their competitors. Through this technique, TechSci Research could include the service providers which could not be identified due to the limitations of secondary research. TechSci Research analyzed the service offerings, distribution channels and presence of all major service providers across the globe.

TechSci Research calculated the market size of global big data in healthcare market using a bottom-up approach, wherein data for various end-user segments was recorded and forecast for the future years. TechSci Research sourced these values from the industry experts and company representatives and externally validated through analyzing historical data of these product types and applications for getting an appropriate, overall market size. Various secondary sources such as company websites, news articles, press releases, company annual reports, investor presentations and financial reports were also studied by TechSci Research.


Key Target Audience:

  • Hospitals and Clinics
  • Research organizations and consulting companies
  • Government bodies such as regulating authorities and policy makers
  • Organizations, forums and alliances related to big data in healthcare 

The study is useful in providing answers to several critical questions that are important for the industry stakeholders such as service providers and partners, end users, etc., besides allowing them in strategizing investments and capitalizing on market opportunities.

Report Scope:

In this report, global big data in healthcare market has been segmented into following categories, in addition to the industry trends which have also been detailed below:

  • Market, By Component:
    • Hardware
      • Data Storage
      • Routers
      • Firewalls
      • Virtual Private Networks
      • E-Mail Servers
      • Others
    • Software
      • Electronic Health Record Software
      • Practice Management
      • Workforce Management
    • Service
  • Market, By Deployment:
    • On-premise
    • Cloud
  • Market, By Analytics Type:
    • Descriptive
    • Predictive
    • Prescriptive
  •  Market, By Application:
    • Clinical Data Analytics
    • Financial Analytics
    • Operational Analytics
  • Market, By End User:
    • Hospitals & Clinics
    • Finance & Insurance Agencies
    • Research Organizations
  • Market, By Region:
    • North America
      • United States
      • Mexico
      • Canada
    • Europe
      • Germany
      • United Kingdom
      • France
      • Spain
      • Italy
    • Asia-Pacific
      • China
      • India 
      • Japan
      • Australia
      • Singapore
    • Middle East & Africa
      • South Africa
      • Saudi Arabia
      • UAE
    • South America
      • Brazil
      • Argentina
      • Colombia

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in global big data in healthcare market.

Available Customizations:

With the given market data, TechSci Research offers customizations according to a company’s specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

In case you don’t find what you are looking for, please get in touch with our custom research team at sales@techsciresearch.com

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In case you don’t find what you are looking for, please get in touch with our custom research team at sales@techsciresearch.com

1.    Product Overview

2.    Research Methodology

3.    Executive Summary

4.    Voice of Customer

5.    Global Big Data in Healthcare Market Outlook

5.1.  Market Size & Forecast

5.1.1.     By Value

5.2.  Market Share & Forecast

5.2.1.     By Component (Hardware; Software; Service)

5.2.1.1.         Hardware (Data Storage; Routers; Firewalls; Virtual Private Networks; E-Mail Servers; Others)

5.2.1.2.         Software (Electronic Health Record Software; Practice Management; Workforce Management)

5.2.2.     By Deployment (On-premise; Cloud)

5.2.3.     By Analytics Type (Descriptive; Predictive; Prescriptive)

5.2.4.     By Application (Clinical Data Analytics; Financial Analytics; Operational Analytics)

5.2.5.     By End User (Hospitals & Clinics; Finance & Insurance Agencies; Research Organizations)

5.2.6.     By Company (2018)

5.3.  Market Attractiveness Index

6.    North America Big Data in Healthcare Market Outlook

6.1.  Market Size & Forecast          

6.1.1.     By Value

6.2.  Market Share & Forecast

6.2.1.     By Component (Software; Service)

6.2.2.     By Deployment (On-premise; Cloud)

6.2.3.     By Analytics Type (Descriptive; Predictive; Prescriptive; Diagnostic)

6.2.4.     By Application (Clinical Data Analytics; Financial Analytics; Operational Analytics)

6.2.5.     By Country (United States; Canada; Mexico and Rest of North America)

6.3.  North America: Country Analysis

6.3.1.     United States Big Data in Healthcare Market Outlook

6.3.1.1.         Market Size & Forecast

6.3.1.1.1.             By Value

6.3.1.2.         Market Share & Forecast

6.3.1.2.1.             By Component (Software; Service)

6.3.1.2.2.             By Deployment (On-premise; Cloud)

6.3.1.2.3.             By Analytics Type (Descriptive; Predictive; Prescriptive; Diagnostic)

6.3.2.     Canada Big Data in Healthcare Market Outlook

6.3.2.1.         Market Size & Forecast

6.3.2.1.1.             By Value

6.3.2.2.         Market Share & Forecast

6.3.2.2.1.             By Component (Software; Service)

6.3.2.2.2.             By Deployment (On-premise; Cloud)

6.3.2.2.3.             By Analytics Type (Descriptive; Predictive; Prescriptive; Diagnostic)

6.3.3.     Mexico Big Data in Healthcare Market Outlook

6.3.3.1.         Market Size & Forecast

6.3.3.1.1.             By Value

6.3.3.2.         Market Share & Forecast

6.3.3.2.1.             By Component (Software; Service)

6.3.3.2.2.             By Deployment (On-premise; Cloud)

6.3.3.2.3.             By Analytics Type (Descriptive; Predictive; Prescriptive; Diagnostic)

7.    Europe Big Data in Healthcare Market Outlook

7.1.  Market Size & Forecast          

7.1.1.     By Value

7.2.  Market Share & Forecast

7.2.1.     By Component (Software; Service)

7.2.2.     By Deployment (On-premise; Cloud)

7.2.3.     By Analytics Type (Descriptive; Predictive; Prescriptive; Diagnostic)

7.2.4.     By Application (Clinical Data Analytics; Financial Analytics; Operational Analytics)

7.2.5.     By Country (France; Germany; UK; Italy; Spain and Rest of Europe)

7.3.  Europe: Country Analysis

7.3.1.     France Big Data in Healthcare Market Outlook

7.3.1.1.         Market Size & Forecast

7.3.1.1.1.             By Value

7.3.1.2.         Market Share & Forecast

7.3.1.2.1.             By Component (Software; Service)

7.3.1.2.2.             By Deployment (On-premise; Cloud)

7.3.1.2.3.             By Analytics Type (Descriptive; Predictive; Prescriptive; Diagnostic)

7.3.2.     Germany Big Data in Healthcare Market Outlook

7.3.2.1.         Market Size & Forecast

7.3.2.1.1.             By Value

7.3.2.2.         Market Share & Forecast

7.3.2.2.1.             By Component (Software; Service)

7.3.2.2.2.             By Deployment (On-premise; Cloud)

7.3.2.2.3.             By Analytics Type (Descriptive; Predictive; Prescriptive; Diagnostic)

7.3.3.     United Kingdom Big Data in Healthcare Market Outlook

7.3.3.1.         Market Size & Forecast

7.3.3.1.1.             By Value

7.3.3.2.         Market Share & Forecast

7.3.3.2.1.             By Component (Software; Service)

7.3.3.2.2.             By Deployment (On-premise; Cloud)

7.3.3.2.3.             By Analytics Type (Descriptive; Predictive; Prescriptive; Diagnostic)

7.3.4.     Italy Big Data in Healthcare Market Outlook

7.3.4.1.         Market Size & Forecast

7.3.4.1.1.             By Value

7.3.4.2.         Market Share & Forecast

7.3.4.2.1.             By Component (Software; Service)

7.3.4.2.2.             By Deployment (On-premise; Cloud)

7.3.4.2.3.             By Analytics Type (Descriptive; Predictive; Prescriptive; Diagnostic)

7.3.5.     Spain Big Data in Healthcare Market Outlook

7.3.5.1.         Market Size & Forecast

7.3.5.1.1.             By Value

7.3.5.2.         Market Share & Forecast

7.3.5.2.1.             By Component (Software; Service)

7.3.5.2.2.             By Deployment (On-premise; Cloud)

7.3.5.2.3.             By Analytics Type (Descriptive; Predictive; Prescriptive; Diagnostic)

8.    Asia-Pacific Big Data in Healthcare Market Outlook

8.1.  Market Size & Forecast          

8.1.1.     By Value

8.2.  Market Share & Forecast

8.2.1.     By Component (Software; Service)

8.2.2.     By Deployment (On-premise; Cloud)

8.2.3.     By Analytics Type (Descriptive; Predictive; Prescriptive; Diagnostic)

8.2.4.     By Application (Clinical Data Analytics; Financial Analytics; Operational Analytics)

8.2.5.     By Country (China; India; Japan; South Korea; Australia; and Rest of Asia Pacific)

8.3.  Asia-Pacific: Country Analysis

8.3.1.     China Big Data in Healthcare Market Outlook

8.3.1.1.         Market Size & Forecast

8.3.1.1.1.             By Value

8.3.1.2.         Market Share & Forecast

8.3.1.2.1.             By Component (Software; Service)

8.3.1.2.2.             By Deployment (On-premise; Cloud)

8.3.1.2.3.             By Analytics Type (Descriptive; Predictive; Prescriptive; Diagnostic)

8.3.2.     India Big Data in Healthcare Market Outlook

8.3.2.1.         Market Size & Forecast

8.3.2.1.1.             By Value

8.3.2.2.         Market Share & Forecast

8.3.2.2.1.             By Component (Software; Service)

8.3.2.2.2.             By Deployment (On-premise; Cloud)

8.3.2.2.3.             By Analytics Type (Descriptive; Predictive; Prescriptive; Diagnostic)

8.3.3.     Japan Big Data in Healthcare Market Outlook

8.3.3.1.         Market Size & Forecast

8.3.3.1.1.             By Value

8.3.3.2.         Market Share & Forecast

8.3.3.2.1.             By Component (Software; Service)

8.3.3.2.2.             By Deployment (On-premise; Cloud)

8.3.3.2.3.             By Analytics Type (Descriptive; Predictive; Prescriptive; Diagnostic)

8.3.4.     Singapore Big Data in Healthcare Market Outlook

8.3.4.1.         Market Size & Forecast

8.3.4.1.1.             By Value

8.3.4.2.         Market Share & Forecast

8.3.4.2.1.             By Component (Software; Service)

8.3.4.2.2.             By Deployment (On-premise; Cloud)

8.3.4.2.3.             By Analytics Type (Descriptive; Predictive; Prescriptive; Diagnostic)

8.3.5.     Australia Big Data in Healthcare Market Outlook

8.3.5.1.         Market Size & Forecast

8.3.5.1.1.             By Value

8.3.5.2.         Market Share & Forecast

8.3.5.2.1.             By Component (Software; Service)

8.3.5.2.2.             By Deployment (On-premise; Cloud)

8.3.5.2.3.             By Analytics Type (Descriptive; Predictive; Prescriptive; Diagnostic)

9.    Middle East and Africa Big Data in Healthcare Market Outlook

9.1.  Market Size & Forecast          

9.1.1.     By Value

9.2.  Market Share & Forecast

9.2.1.     By Component (Software; Service)

9.2.2.     By Deployment (On-premise; Cloud)

9.2.3.     By Analytics Type (Descriptive; Predictive; Prescriptive; Diagnostic)

9.2.4.     By Application (Clinical Data Analytics; Financial Analytics; Operational Analytics)

9.2.5.     By Country (UAE; Saudi Arabia; South Africa and Rest of Middle East & Africa)

9.3.  MEA: Country Analysis

9.3.1.     South Africa Big Data in Healthcare Market Outlook

9.3.1.1.         Market Size & Forecast

9.3.1.1.1.             By Value

9.3.1.2.         Market Share & Forecast

9.3.1.2.1.             By Component (Software; Service)

9.3.1.2.2.             By Deployment (On-premise; Cloud)

9.3.1.2.3.             By Analytics Type (Descriptive; Predictive; Prescriptive; Diagnostic)

9.3.2.     Saudi Arabia Big Data in Healthcare Market Outlook

9.3.2.1.         Market Size & Forecast

9.3.2.1.1.             By Value

9.3.2.2.         Market Share & Forecast

9.3.2.2.1.             By Component (Software; Service)

9.3.2.2.2.             By Deployment (On-premise; Cloud)

9.3.2.2.3.             By Analytics Type (Descriptive; Predictive; Prescriptive; Diagnostic)

9.3.3.     UAE Big Data in Healthcare Market Outlook

9.3.3.1.         Market Size & Forecast

9.3.3.1.1.             By Value

9.3.3.2.         Market Share & Forecast

9.3.3.2.1.             By Component (Software; Service)

9.3.3.2.2.             By Deployment (On-premise; Cloud)

9.3.3.2.3.             By Analytics Type (Descriptive; Predictive; Prescriptive; Diagnostic)

10.  South America Big Data in Healthcare Market Outlook

10.1.              Market Size & Forecast

10.1.1.  By Value

10.2.              Market Share & Forecast

10.2.1.  By Component (Software; Service)

10.2.2.  By Deployment (On-premise; Cloud)

10.2.3.  By Analytics Type (Descriptive; Predictive; Prescriptive; Diagnostic)

10.2.4.  By Application (Clinical Data Analytics; Financial Analytics; Operational Analytics)

10.2.5.  By Country (Brazil; Argentina; Colombia; and Rest of South America)

10.3.              South America: Country Analysis

10.3.1.  Brazil Big Data in Healthcare Market Outlook

10.3.1.1.      Market Size & Forecast

10.3.1.1.1.           By Value

10.3.1.2.      Market Share & Forecast

10.3.1.2.1.           By Component (Software; Service)

10.3.1.2.2.           By Deployment (On-premise; Cloud)

10.3.1.2.3.           By Analytics Type (Descriptive; Predictive; Prescriptive; Diagnostic)

10.3.2.  Argentina Big Data in Healthcare Market Outlook

10.3.2.1.      Market Size & Forecast

10.3.2.1.1.           By Value

10.3.2.2.      Market Share & Forecast

10.3.2.2.1.           By Component (Software; Service)

10.3.2.2.2.           By Deployment (On-premise; Cloud)

10.3.2.2.3.           By Analytics Type (Descriptive; Predictive; Prescriptive; Diagnostic)

10.3.3.  Colombia Big Data in Healthcare Market Outlook

10.3.3.1.      Market Size & Forecast

10.3.3.1.1.           By Value

10.3.3.2.      Market Share & Forecast

10.3.3.2.1.           By Component (Software; Service)

10.3.3.2.2.           By Deployment (On-premise; Cloud)

10.3.3.2.3.           By Analytics Type (Descriptive; Predictive; Prescriptive; Diagnostic)

11.  Market Dynamics

11.1.              Drivers

11.2.              Challenges

12.  Market Trends & Developments

13.  Competitive Landscape

13.1.              Competition Outlook

13.2.              Company Profiles

13.2.1.  Allscripts Healthcare Solutions, Inc.

13.2.2.  Cerner Corp.

13.2.3.  DELL EMC

13.2.4.  Epic Systems Corp.

13.2.5.  GE Healthcare

13.2.6.  Hewlett Packard Enterprise (HPE)

13.2.7.  International Business Machines Corporation (IBM)

13.2.8.  Microsoft Corporation

13.2.9.  Oracle Corp.

13.2.10.                Optum Inc.

14.  Strategic Recommendations

(Note: The companies list can be customized based on the client requirements.)

In case you don’t find what you are looking for, please get in touch with our custom research team at sales@techsciresearch.com