Big Data Analytics in Healthcare Market Forecast, Trend Analysis & Competition Tracking – Global Market insights 2017 to 2026

Published on : Jan-2018 | List of Tables : 148 | List of Figures : 114 | No. of Pages : 170 | Report Code : FACT369MR |

Big data analytics (BDA) is a combination of data management tools, techniques, and application for effectively analysing big data sets, in order to derive information on business processes and customer interactions. Big data analytics can process both structure as well as unstructured data obtained from various sources.

Big Data Analytics Enhancing Decision Making Capacity of Healthcare Enterprises

Big data analytics has paved a new path for healthcare organizations to devise actionable insights, boost up the outcomes, reduce time to value, and organize their future vision. This approach has been deemed helpful in providing insightful information to healthcare enterprises with regard to their planning, measurements, and management. The evaluated results further help in enhancing decision making capacity of these enterprises. By recording disease outbreaks and analyzing disease patterns, big data analytics approach can improve public health issues. Large quantity of data help in determining needs, offering required services, and predicting & preventing future crises. Big data analytics approach also helps in evaluating standard medical data, structured or unstructured, for predicting patients at risk and providing them with effective care.

global big data analytics in healthcare market

Drive toward electronic medical records, coupled with favorable government policies has further driven the adoption of big data analytics in healthcare sector. However, majority of medical professionals lack the skill set needed for leveraging information offered by the big data analytics, which continues to be a major restraint for growth of the market. Government and healthcare organizations are therefore focusing on proper training of professionals for making them capable of utilizing the data obtained in a meaningful manner for better drafting of healthcare policies and improving patient outcomes.

Fact.MR’s recently compiled report estimates the global market for big data analytics in healthcare to register an outstanding expansion during the forecast period (2017-2026). Revenues from global sales of big data analytics in healthcare sector are estimated to exceed US$ 45,000 Mn by 2026-end.

Market Taxonomy

Region

Spender Type

Tool Type

Application Type

Deployment Type

North America

Healthcare Payer

Data Warehouse Analytics

Access Clinical Information

Cloud-based

Latin America

Healthcare Provider

Financial Analytics

Access Operational Information

On-premises

Europe

 

Production Reporting

Access Transactional Data

 

Japan

 

CRM Analytics

Other Applications

 

APEJ

 

Predictive Analytics

   

MEA

 

Visual Analytics

   
   

Risk Management Analytics

   
   

Supply chain Analytics

   
   

Test Analytics

   

(Additional information, including cross-sectional data and country-wise analysis & forecast is available in the report)

APEJ to be Fastest Expanding Market for Big Data Analytics in Healthcare during 2017-2026

Asia-Pacific excluding Japan (APEJ) is expected to remain the fast-expanding market for big data analytics in healthcare. North America is also expected to showcase a promising growth in the market, which can be mainly attributed to big data initiatives of the federal government. Initiatives such as HITECH Act are promoting big data and reducing healthcare expenses in North America. Europe will also account for a major portion of the market’s revenue share during the forecast period.

On the back of rising pressure of curbing healthcare costs, growing adherence toward electronic health records (EHRs), emphasis on improving patient outcomes and reducing hospital readmission rates have spurred the adoption of CRM analytics tool. CRM analytics will remain the most lucrative tool in the market, followed by financial analytics, production reporting, and supply chain analytics, which are increasingly adopted for complying with federal mandates regarding ICD-10 code sets’ implementation.

Key Research Findings from Fact.MR’s Report on Big Data Analytics in Healthcare Market

  • Healthcare provider will continue to be the dominant spender in the global big data analytics in healthcare market
  • Access operational information will remain the fastest expanding application of big data analytics in healthcare, followed by access transactional data
  • Sales of cloud-based deployment of big data analytics in healthcare will register the highest CAGR through 2026

Competition Tracking

Competition in the global big data analytics in healthcare market is expected to intensify on the back of mergers and partnerships between prominent players. New marker entrant face barriers such as high deployment cost, and find it difficult to cope up with well-established players in terms of innovation and quality. Key market players identified by the report include IBM Corporation, OptumHealth Care Solutions, Microsoft Corp, McKesson, MedeAnalytics, Verisk Analytics, Allscripts Healthcare Solutions, Oracle Corp, Zephyr Health, Cisco Systems Inc., Infosys, SAS Institute, Alteryx, SAP SE, and Denodo Technologies Inc.

NoteThe insights mentioned here are of the respective analysts, and do not reflect the position of Fact.MR

Growth of the global big data analytics in healthcare market is anticipated to remain influenced by a slew of factors including surging government initiatives for increasing EHR adoption, rising pressure to curtail healthcare costs, soaring availability of big data in healthcare, growing venture capital investments, increasing focus to improve patient outcomes, and soaring technological advancements. This Fact.MR report analyzes the expansion of global big data analytics in healthcare market till date, and provides key insights on the growth of the market during the forecast period, 2017-2022.

Scope

The scope of Fact.MR’s report is to analyze the global big data analytics in healthcare market for the forecast period 2017-2022 and provide readers an unbiased and accurate analysis. Medical device manufacturers, research institutes, and raw material suppliers in the global big data analytics in healthcare market can benefit from the analysis offered in this report. This report offers a comprehensive analysis, which can be of interest to leading trade magazines and medical journals pertaining to big data analytics in healthcare.

Summary

The report commences with a brief information of the global big data analytics in healthcare market. This executive summary sets the tone for the rest of the report, providing users the scope of the report. The executive summary includes important facts and statistics on the global big data analytics in healthcare market.

Overview

The next section offers an overview of the global big data analytics in healthcare market. This comprises an introduction to the market, along with a standard definition of the product – big data analytics in healthcare. In this section, market value and year-over-year growth is offered to the readers. Year-over-year growth provides readers with a broader view of growth patterns over the forecast period.

The report’s succeeding section focuses on drivers, restraints and key trends from macroeconomic, demand, and supply perspectives. Impact analysis of weighted average model-based growth drivers is contained in the report for better provision of decision-making insights to clients.

In order to offer readers with up-to-date information about the latest advancements in the global big data analytics in healthcare market, the report provides updates about market opportunities, which can benefit leading manufacturers of big data analytics in healthcare. With continuous evolution of the healthcare sector, keeping a record of latest developments and trends is fundamental for big data analytics in healthcare manufacturers to formulate key business strategies. Detailed insights about raw material sourcing, supply chain, regulatory approvals, pricing analysis, list of distributors, and cost structure are provided in this section.

The Fact.MR report offers segment-wise analysis & forecast to cover the wide scope of global big data analytics in healthcare market. Key segments that guide expansion of the global big data analytics in healthcare market include spender type, tool type, application type, deployment type, and region. In this segmentation analysis, a detailed country-wise forecast across all key market parameters is also included.

The report’s last section comprises of the global big data analytics in healthcare market competitive landscape, to provide readers with the dashboard view of company analysis and market players. This competitive intelligence is based on the providers’ categories across value chain, and their presence in the global big data analytics in healthcare market.

Research Methodology

Fact.MR is committed to offer unbiased and independent market research solutions to its clients. Each market report of Fact.MR is compiled after months of exhaustive research. We bank on a mix of tried-and-tested and innovative research methodologies to offer the most comprehensive and accurate information. Our main sources of research include,

  • Primary research
  • Secondary research
  • Trade research
  • Focused interviews
  • Social media analysis

1. Global Economic Outlook

2. Global Big Data & Analytics in Healthcare Market - Executive Summary

3. Global Big Data & Analytics in Healthcare Market Overview
3.1. Introduction
       3.1.1. Global Big Data & Analytics in Healthcare Market Taxonomy
       3.1.2. Global Big Data & Analytics in Healthcare Market Definition
3.2. Global Big Data & Analytics in Healthcare Market Size (US$ Mn) and Forecast, 2012-2026
       3.2.1. Global Big Data & Analytics in Healthcare Market Y-o-Y Growth
3.3. Global Big Data & Analytics in Healthcare Market Dynamics
3.4. Value Chain
3.5. Architecture of Big Data Analytics
3.6. Modern Data Platform (Technology Roadmap)
3.7. Integration of Data Sets for Major Opportunities
3.8. Client Survey about Deployment of Big Data & Analytics Technology
3.9 Four Dimensions (4 V's) of Big Data 
3.10. Outline of Big Data Analytics in Healthcare Methodology
3.11 Global Healthcare Spending of Top 10 Countries
3.12 United States Healthcare Spending by type of services/products & Major source of Funds, 2016
3.13. Key Participants Market Presence (Intensity Map) By Region

4. Global Big Data & Analytics in Healthcare Market Analysis and Forecast 2012-2026 
4.1. Global Big Data & Analytics in Healthcare Market Size and Forecast By Spender Type, 2012-2026
       4.1.1. Healthcare Payer  Market Size and Forecast, 2012-2026
                4.1.1.1. Revenue (US$ Mn) Comparison, By Region
                4.1.1.2. Market Share Comparison, By Region
                4.1.1.3. Y-o-Y growth Comparison, By Region
       4.1.2. Healthcare Provider Market Size and Forecast, 2012-2026
                4.1.2.1. Revenue (US$ Mn) Comparison, By Region
                4.1.2.2. Market Share Comparison, By Region
                4.1.2.3. Y-o-Y growth Comparison, By Region
4.2. Global Big Data & Analytics in Healthcare Market Size and Forecast By Tool Type, 2012-2026
       4.2.1. Data Warehouse Analytics Market Size and Forecast, 2012-2026
                4.2.1.1. Revenue (US$ Mn) Comparison, By Region
                4.2.1.2. Market Share Comparison, By Region
                4.2.1.3. Y-o-Y growth Comparison, By Region
       4.2.2. Financial Analytics Market Size and Forecast, 2012-2026
                4.2.2.1. Revenue (US$ Mn) Comparison, By Region
                4.2.2.2. Market Share Comparison, By Region
                4.2.2.3. Y-o-Y growth Comparison, By Region
       4.2.3. Production Reporting Market Size and Forecast, 2012-2026
                4.2.3.1. Revenue (US$ Mn) Comparison, By Region
                4.2.3.2. Market Share Comparison, By Region
                4.2.3.3. Y-o-Y growth Comparison, By Region
       4.2.4. CRM Analytics  Market Size and Forecast, 2012-2026
                4.2.4.1. Revenue (US$ Mn) Comparison, By Region
                4.2.4.2. Market Share Comparison, By Region
                4.2.4.3. Y-o-Y growth Comparison, By Region
       4.2.5. Predictive Analytics Market Size and Forecast, 2012-2026
                4.2.5.1. Revenue (US$ Mn) Comparison, By Region
                4.2.5.2. Market Share Comparison, By Region
                4.2.5.3. Y-o-Y growth Comparison, By Region
       4.2.6. Visual Analytics Market Size and Forecast, 2012-2026
                4.2.6.1. Revenue (US$ Mn) Comparison, By Region
                4.2.6.2. Market Share Comparison, By Region
                4.2.6.3. Y-o-Y growth Comparison, By Region
       4.2.7. Risk Management Analytics Market Size and Forecast, 2012-2026
                4.2.7.1. Revenue (US$ Mn) Comparison, By Region
                4.2.7.2. Market Share Comparison, By Region
                4.2.7.3. Y-o-Y growth Comparison, By Region
       4.2.8. Supply chain Analytics Market Size and Forecast, 2012-2026
                4.2.8.1. Revenue (US$ Mn) Comparison, By Region
                4.2.8.2. Market Share Comparison, By Region
                4.2.8.3. Y-o-Y growth Comparison, By Region
       4.2.9. Test Analytics Market Size and Forecast, 2012-2026
                4.2.9.1. Revenue (US$ Mn) Comparison, By Region
                4.2.9.2. Market Share Comparison, By Region
                4.2.9.3. Y-o-Y growth Comparison, By Region
4.3. Global Big Data & Analytics in Healthcare Market Size and Forecast By Application Type, 2012-2026
       4.3.1. Access Clinical Information  Market Size and Forecast, 2012-2026
                4.3.1.1. Revenue (US$ Mn) Comparison, By Region
                4.3.1.2. Market Share Comparison, By Region
                4.3.1.3. Y-o-Y growth Comparison, By Region
       4.3.2. Access Operational Information Market Size and Forecast, 2012-2026
                4.3.2.1. Revenue (US$ Mn) Comparison, By Region
                4.3.2.2. Market Share Comparison, By Region
                4.3.2.3. Y-o-Y growth Comparison, By Region
       4.3.3. Access Transactional Data Market Size and Forecast, 2012-2026
                4.3.3.1. Revenue (US$ Mn) Comparison, By Region
                4.3.3.2. Market Share Comparison, By Region
                4.3.3.3. Y-o-Y growth Comparison, By Region
       4.3.4. Other Applications Market Size and Forecast, 2012-2026
                4.3.4.1. Revenue (US$ Mn) Comparison, By Region
                4.3.4.2. Market Share Comparison, By Region
                4.3.4.3. Y-o-Y growth Comparison, By Region
4.4. Global Big Data & Analytics in Healthcare Market Size and Forecast By Deployment Type, 2012-2026
       4.4.1. Cloud-based Market Size and Forecast, 2012-2026
                4.4.1.1. Revenue (US$ Mn) Comparison, By Region
                4.4.1.2. Market Share Comparison, By Region
                4.4.1.3. Y-o-Y growth Comparison, By Region
       4.4.2. On-premises Market Size and Forecast, 2012-2026
                4.4.2.1. Revenue (US$ Mn) Comparison, By Region
                4.4.2.2. Market Share Comparison, By Region
                4.4.2.3. Y-o-Y growth Comparison, By Region

5. North America Big Data & Analytics in Healthcare Market Size and Forecast, 2012-2026
5.1. North America Outlook 
5.2. North America ICT Market Outlook 
5.3. North America Big Data & Analytics in Healthcare Market Outlook 
5.4. Revenue (US$ Mn) Comparison, By Country 
       5.4.1. US Market Size and Forecast (US$ Mn), 2012-2026
       5.4.2. Canada Market Size and Forecast (US$ Mn), 2012-2026
5.5. Revenue (US$ Mn) Comparison, By Spender Type 
5.6. Revenue (US$ Mn) Comparison, By Tool Type 
5.7. Revenue (US$ Mn) Comparison, By Application Type 
5.8. Revenue (US$ Mn) Comparison, By Deployment Type 

6. Latin America Big Data & Analytics in Healthcare Market Size and Forecast, 2012-2026
6.1. Latin America Outlook 
6.2. Latin America ICT Market Outlook 
6.3. Latin America Big Data & Analytics in Healthcare Market Outlook 
6.4. Revenue (US$ Mn) Comparison, By Country 
       6.4.1. Brazil Market Size and Forecast (US$ Mn), 2012-2026
       6.4.2. Mexico Market Size and Forecast (US$ Mn), 2012-2026
       6.4.3. Argentina Market Size and Forecast (US$ Mn), 2012-2026
       6.4.4. Rest of Latin America Market Size and Forecast (US$ Mn), 2012-2026
6.5. Revenue (US$ Mn) Comparison, By Spender Type 
6.6. Revenue (US$ Mn) Comparison, By Tool Type 
6.7. Revenue (US$ Mn) Comparison, By Application Type 
6.8. Revenue (US$ Mn) Comparison, By Deployment Type 

7. Europe Big Data & Analytics in Healthcare Market Size and Forecast, 2012-2026
7.1. Europe Outlook 
7.2. Europe ICT Market Outlook 
7.3. Europe Big Data & Analytics in Healthcare Market Outlook 
7.4. Revenue (US$ Mn) Comparison, By Country 
       7.4.1. Germany Market Size and Forecast (US$ Mn), 2012-2026
       7.4.2. U.K. Market Size and Forecast (US$ Mn), 2012-2026
       7.4.3. France Market Size and Forecast (US$ Mn), 2012-2026
       7.4.4. Spain Market Size and Forecast (US$ Mn), 2012-2026
       7.4.5. Italy Market Size and Forecast (US$ Mn), 2012-2026
       7.4.6. Rest of Europe Market Size and Forecast (US$ Mn), 2012-2026
7.5. Revenue (US$ Mn) Comparison, By Spender Type 
7.6. Revenue (US$ Mn) Comparison, By Tool Type 
7.7. Revenue (US$ Mn) Comparison, By Application Type 
7.8. Revenue (US$ Mn) Comparison, By Deployment Type 

8. Japan Big Data & Analytics in Healthcare Market Size and Forecast, 2012-2026
8.1. Japan Outlook 
8.2. Japan ICT Market Outlook 
8.3. Japan Big Data & Analytics in Healthcare Market Outlook 
8.4. Japan Revenue (US$ Mn) Comparison
       8.4.1. Japan  Market Size and Forecast (US$ Mn), 2012-2026
8.5. Revenue (US$ Mn) Comparison, By Spender Type 
8.6. Revenue (US$ Mn) Comparison, By Tool Type 
8.7. Revenue (US$ Mn) Comparison, By Application Type 
8.8. Revenue (US$ Mn) Comparison, By Deployment Type 

9. APEJ Big Data & Analytics in Healthcare Market Size and Forecast, 2012-2026
9.1. APEJ Outlook 
9.2. APEJ ICT Market Outlook 
9.3. APEJ Big Data & Analytics in Healthcare Market Outlook 
9.4. Revenue (US$ Mn) Comparison, By Country 
       9.4.1. China Market Size and Forecast (US$ Mn), 2012-2026
       9.4.2. India Market Size and Forecast (US$ Mn), 2012-2026
       9.4.3. Australia & New Zealand Market Size and Forecast (US$ Mn), 2012-2026
       9.4.4. Malaysia Market Size and Forecast (US$ Mn), 2012-2026
       9.4.5. Singapore Market Size and Forecast (US$ Mn), 2012-2026
       9.4.6. Rest of APEJ Market Size and Forecast (US$ Mn), 2012-2026
9.5. Revenue (US$ Mn) Comparison, By Spender Type 
9.6. Revenue (US$ Mn) Comparison, By Tool Type 
9.7. Revenue (US$ Mn) Comparison, By Application Type 
9.8. Revenue (US$ Mn) Comparison, By Deployment Type 

10. MEA Big Data & Analytics in Healthcare Market Size and Forecast, 2012-2026
10.1. MEA Outlook 
10.2. MEA ICT Market Outlook 
10.3. MEA Big Data & Analytics in Healthcare Market Outlook 
10.4. Revenue (US$ Mn) Comparison, By Country 
       10.4.1. GCC Countries Market Size and Forecast (US$ Mn), 2012-2026
       10.4.2. South Africa Market Size and Forecast (US$ Mn), 2012-2026
       10.4.3. Israel Market Size and Forecast (US$ Mn), 2012-2026
       10.4.4. Rest of MEA Market Size and Forecast (US$ Mn), 2012-2026
10.5. Revenue (US$ Mn) Comparison, By Spender Type 
10.6. Revenue (US$ Mn) Comparison, By Tool Type 
10.7. Revenue (US$ Mn) Comparison, By Application Type 
10.8. Revenue (US$ Mn) Comparison, By Deployment Type 

11. Global Big Data & Analytics in Healthcare Market Company Share, Competition Landscape and Company Profiles
11.1. Company Share Analysis
11.2. Competition Landscape
11.3. Company Profiles
       11.3.1. IBM Corporation
       11.3.2. Microsoft Corp.
       11.3.3. Oracle Corp.
       11.3.4. Infosys Ltd.
       11.3.5. SAS Institute Inc.
       11.3.6 Cognizant Technology Solutions Corp 
       11.3.7 Cisco Systems, Inc.
       11.3.8 SAP SE
       11.3.9. Salesforce.com, Inc.
       11.3.10. Alteryx, Inc.
       11.3. 11. Optum Inc.
       11.3.12. Zephyr Health, Inc.
       11.3. 13. Cerner Corporation
       11.3.14. Verisk Analytics, Inc.
       11.3.15. MedeAnalytics, Inc.
       11.3.16. Denodo Technologies Inc.
       11.3.17.  Tableau Software, Inc.
       11.3.18. Accenture PLC
       11.3.19. Sisense Inc.
       11.3.20. Domo, Inc.
       11.3.21. Logi Analytics, Inc.
       11.3.22. Hitachi Vantara Limited
       11.3.23. Birst, Inc.
       11.3.24. Pyramid Analytics B.V.
       11.3.25. Metric Insights Inc.
       11.3.26. TIBCO Software Inc.
       11.3.27. InnovAccer Inc.
       11.3.28. GE Healthcare Inc.
       11.3.29 Yellowfin International Pty Ltd
       11.3.30 datapine GmbH

12. Research Methodology

13. Secondary and Primary Sources

14. Assumptions and Acronyms

15. Disclaimer

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Big Data Analytics in Healthcare Market Forecast, Trend Analysis & Competition Tracking – Global Market insights 2017 to 2026