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Global Big Data in Healthcare Market, By Component (Software & Service), By Software(Electronic Healthcare Record, Practice Management, Workforce Management),  By Deployment (On-premise & Cloud), By Analytics Type (Descriptive; Predictive & Prescriptive), By Application (Financial Analytics, Clinical Data Analytics, & Operational Analytics), By End User, By Region, Competition, Forecast & Opportunities, 2024

Global Big Data in Healthcare Market, By Component (Software & Service), By Software(Electronic Healthcare Record, Practice Management, Workforce Management), By Deployment (On-premise & Cloud), By Analytics Type (Descriptive; Predictive & Prescriptive), By Application (Financial Analytics, Clinical Data Analytics, & Operational Analytics), By End User, By Region, Competition, Forecast & Opportunities, 2024

Global big data in healthcare market was valued at around $ 14.6 billion in 2018 and is projected to grow at a CAGR of 20% to reach $ 42.7 billion by 2024 owing to increasing adoption of Electronic Health Record (EHR), control healthcare spending, advance patient outcomes, etc. 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, software, deployment, analytics type, application, end user and region. Based on component, the market can be segmented into 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. By Software, the market is segmented into Electronic Health Record, Practice Management, and Workforce Management. Electronic. The Electronic health record software accounted to highest market share in 2018 and is anticipated to continue its dominance during the forecast years. 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. Based on analytics type, the market is segmented into descriptive analytics, predictive analytics, and prescriptive analytics. Based on application, the market is bifurcated into financial analytics, clinical data analytics, and operational analytics. The financial analytics segment accounted for the highest market share in 2018 and is anticipated to dominate the big data in healthcare market during the forecast years. Based on end user segment, the market is segmented into hospitals & clinics, finance & insurance, and research organization. The finance and insurance agencies are foreseen to attract the highest market share and be the major users of big data in healthcare market owing to the awareness and adoption of health insurance penetration across the globe.

Regionally, the market for big data in healthcare is gaining traction and expanding to various regions across the globe. 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., Optum, Inc., Premier, Inc., McKesson Corporation, GE Healthcare, Hewlett Packard Enterprise (HPE), International Business Machines Corporation (IBM), Microsoft Corporation, Oracle Corp, 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 6,800 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
-bjective 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 identify and analyze the profile of leading players operating in global big data in healthcare market.
Some of the leading players in global big data in healthcare market include Allscripts Healthcare Solutions, Inc., Cerner Corp., Optum, Inc., Premier, Inc., McKesson Corporation, GE Healthcare, Hewlett Packard Enterprise (HPE), International Business Machines Corporation (IBM), Microsoft Corporation, Oracle Corp., Philips Healthcare, 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:
• Big Data Players, Healthcare providers and other stakeholders
• Government bodies such as regulating authorities and policy makers
• Organizations, forums and alliances related to big data in healthcare
• Market Research and Consulting Firms
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:
- 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
Japan
India
Australia
Singapore
- Middle East & Africa
Saudi Arabia
UAE
South Africa
- 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).
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 (Software; Service)
5.2.1.1. 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)
6.2.4. By Application (Clinical Data Analytics; Financial Analytics; Operational Analytics)
6.2.5. By Country (United States; Canada; Mexico)
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)
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)
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)
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)
7.2.4. By Application (Clinical Data Analytics; Financial Analytics; Operational Analytics)
7.2.5. By Country (Germany; UK; France; Spain; Italy and Rest of Europe)
7.3. Europe: Country Analysis
7.3.1. Germany 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)
7.3.2. United Kingdom 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)
7.3.3. France 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)
7.3.4. Spain 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)
7.3.5. Italy 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)
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)
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)
8.3.2. Japan 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)
8.3.3. India 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)
8.3.4. Australia 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)
8.3.5. Singapore 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)
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)
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. Saudi Arabia 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)
9.3.2. UAE 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)
9.3.3. South Africa 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)
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)
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)
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)
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)
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. Optum Inc.
13.2.4. Premier, Inc.
13.2.5. McKesson Corporation
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. GE Healthcare

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

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Report Title: Global Big Data in Healthcare Market, By Component (Software & Service), By Software(Electronic Healthcare Record, Practice Management, Workforce Management), By Deployment (On-premise & Cloud), By Analytics Type (Descriptive; Predictive & Prescriptive), By Application (Financial Analytics, Clinical Data Analytics, & Operational Analytics), By End User, By Region, Competition, Forecast & Opportunities, 2024


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