Market Snapshot
| Study Period: | 2018 - 2026 |
| Base Year: | 2020 |
| Fastest Growing Market: | Asia Pacific |
| Largest Market: | North America |
| CAGR: | 16.24 % |
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Market Overview
The Big Data Healthcare Market was valued at USD 23,749.33 million in 2020, and it is expected to reach USD 58,404.24 million by 2026, registering a CAGR of 16.24% during the forecast period.
The COVID-19 pandemic is driving the critical need for cutting-edge technological tools and innovation in the areas of public health, medicine, and wellness, which is likely to drive the big data healthcare market during the pandemic. In June 2020, the UK government collaborated with Palantir, a US-based Big Data firm, to investigate the patient data to further respond to the COVID-19 pandemic.
Big Data analytics in healthcare is the complex process of examining Big Data to discover information, including hidden patterns, market trends, unknown correlations, and customer preferences, helping organizations make informed clinical and business decisions. The increase in demand for Big Data solutions for population health management and the rise in the need for business intelligence to optimize health administration and strategy are expected to drive market growth.
In order to cope with the management of such huge data, continuous technological innovations in big analytics tools are very important and thus, creating enormous opportunities for the key players in the market to develop and launch new data analytics software and systems. For instance, in December 2020, MedArrive launched a new care management platform that enables healthcare providers and payors to extend services into the home, scaling access to high-quality healthcare and meaningfully reducing costs for providers and their patients.
However, high incidences of a security breach, coupled with a lack of skilled labor, are the major factors restraining the growth of the Big Data healthcare market.
Scope of the Report
As per the scope of the report, Big Data in healthcare refers to the abundant health data amassed from numerous sources, including electronic health records (EHRs), medical imaging, genomic sequencing, payor records, pharmaceutical research, wearables, and medical devices, to name a few. It is, therefore, a complex process of examining Big Data to discover information, including hidden patterns, market trends, unknown correlations, and customer preferences, which can help organizations to make informed clinical and business decisions. The Big Data Healthcare market is segmented by Component (Software and Services), Deployment (On-premise and Cloud-based), Application (Financial Analytics, Clinical Data Analytics, Operational Analytics, and Population Health Analytics), and Geography (North America, Europe, Asia-Pacific, Middle-East and Africa, and South America). The market report also covers the estimated market sizes and trends for 17 different countries across major regions globally. The report offers the value (in USD million) for the above segments.
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| Software | |
| Services |
| By Deployment | |
| On-premise | |
| Cloud |
| By Application | |
| Financial Analytics | |
| Clinical Data Analytics | |
| Operational Analytics | |
| Population Health Analytics |
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Key Market Trends
The Clinical Data Analytics Segment of Big Data Analytics is Expected to Register a High Growth Rate
Clinical data analytics in the healthcare sector plays a vital role in preventing, treating, and predicting diseases, thereby increasing the quality of care. Several healthcare institutes and enterprises are inclining towards the adoption of clinical analytics as a part of their operations to offer preventive care by efficiently monitoring patient data and offer distinct attention to increasing the effectiveness of their services.
Big Data healthcare also offers better insights to patients who are at high risk of illness, and thus, healthcare providers prescribe treatments and make clinical decisions with greater accuracy.
Various organizations are increasingly investing in clinical data analytics for analyzing patient data to improve patient care. For instance, in January 2020, Health Data Research UK (HDR UK) raised GBP 1 million funding to improve patient care through analyzing large-scale data as part of the Better Care Partnership across the United Kingdom.
The adoption of digital patient records is increasing, as electronic medical records help organizations offer better care and analysis of patient's various conditions.
Furthermore, in 2019, a project funded by JDRF, and led by Wayne Bequette, professor of chemical and biological engineering at Rensselaer Polytechnic Institute, aims to use AI and Big Data analytics to evaluate information from thousands of continuous glucose monitors and insulin pumps. Researchers use this information to improve algorithms that control these devices.
Clinical data analytics is a part of the response to COVID-19, as the healthcare organizations and government are using patients’ data to tackle and enable themselves in better handling of the crisis. For instance, in June 2020, the National Institutes of Health has launched a centralized national data analytics platform to gather COVID-19 patient data to fasten the treatments across the United States.
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North America Holds a Large Share of the Big Data Healthcare Market
The North American region has dominated the overall Big Data healthcare market due to the rise in advancements in IoT and increase in demand for analytical models on patient information for better service delivery, government policies.
The region has a vast array of patient information. To easily analyze this data, pharmaceutical companies have been aggregating years of research and development data into medical databases, while payers and providers have digitized their patient records over the last decade.
Several companies are collaborating in order to support Big Data and improve healthcare. For instance, in May 2020, Blue Health Intelligence (BHI) and Datavant partnered to enable Big Data and analytics, which will improve the healthcare sector. Similarly, in February 2020, Ottawa hospital in Canada partnered with Israeli data analytics provider (MDClone), which will democratize the data across the organization and will provide greater visibility.
Furthermore, the rising cases of COVID-19 in the North American Region are creating a demand for Big Data to analyze and understand how the ongoing pandemic in the region is augmenting the adoption of Big Data analytics in the North American region's healthcare systems. For instance, in December 2020, the US Department of Health and Human Services (HHS) initiated a special platform for the COVID-19 data and started publishing the health details, admissions, deaths, new cases details of the patients got affected with COVID-19 in the country.
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Competitive Landscape
The Big Data Analytics Market is highly competitive, and some of the key players in the market studied include Allscripts, GE Healthcare, Oracle Corporation, IBM, Epic Systems, Cerner Corporation, and Optum Inc. The majority of the key player involved in the research of Big Data healthcare are established in the developed countries. For instance, in August 2019, BlueDot, a digital health company that uses Big Data analytics to track and anticipate the spread of infectious diseases, announced that it closed a USD 7 million Series A financing. The investment brings BlueDot’s total funding to USD 9.5 million. The Co-operators and BDC Capital co-lead investment will expand AI-driven infectious disease global early warning system into global markets.
Recent Developments
In November 2020, Change Healthcare launched an innovative national data resource solution called Social Determinants of Health (SDoH) Analytics, a resource to help health systems, insurers, and life sciences organizations explore how geodemographic factors affect patients outcomes.
In October 2020, GE Healthcare launched Edison HealthLink, a new computing technology that provides a set of healthcare-specific services, including HIPAA compliant data aggregation, connectivity, advanced visualization, AI, and non-AI algorithm orchestration that developers can leverage to build and deploy clinical applications and workflows.
Table of Contents
1. INTRODUCTION
1.1 Study Assumptions and Market Definition
1.2 Scope of the Study
2. RESEARCH METHODOLOGY
3. EXECUTIVE SUMMARY
4. MARKET DYNAMICS
4.1 Market Overview
4.2 Market Drivers
4.2.1 Increase in Demand for Analytics Solutions for Population Health Management
4.2.2 Rise in Need for Business Intelligence to Optimize Health Administration and Strategy
4.2.3 Surge in Adoption of Big Data in the Healthcare Industry
4.3 Market Restraints
4.3.1 Security Concerns Related to Sensitive Patients Medical Data
4.3.2 Lack of Skilled and Expert Staff
4.4 Porter's Five Forces Analysis
4.4.1 Threat of New Entrants
4.4.2 Bargaining Power of Buyers/Consumers
4.4.3 Bargaining Power of Suppliers
4.4.4 Threat of Substitute Products
4.4.5 Intensity of Competitive Rivalry
5. MARKET SEGMENTATION
5.1 By Component
5.1.1 Software
5.1.2 Services
5.2 By Deployment
5.2.1 On-premise
5.2.2 Cloud
5.3 By Application
5.3.1 Financial Analytics
5.3.2 Clinical Data Analytics
5.3.3 Operational Analytics
5.3.4 Population Health Analytics
5.4 Geography
5.4.1 North America
5.4.1.1 United States
5.4.1.2 Canada
5.4.1.3 Mexico
5.4.2 Europe
5.4.2.1 Germany
5.4.2.2 United Kingdom
5.4.2.3 France
5.4.2.4 Italy
5.4.2.5 Spain
5.4.2.6 Rest of Europe
5.4.3 Asia-Pacific
5.4.3.1 China
5.4.3.2 Japan
5.4.3.3 India
5.4.3.4 Australia
5.4.3.5 South Korea
5.4.3.6 Rest of Asia-Pacific
5.4.4 Middle-East and Africa
5.4.4.1 GCC
5.4.4.2 South Africa
5.4.4.3 Rest of Middle-East and Africa
5.4.5 South America
5.4.5.1 Brazil
5.4.5.2 Argentina
5.4.5.3 Rest of South America
6. COMPETITIVE LANDSCAPE
6.1 Company Profiles
6.1.1 Allscripts Healthcare Solutions Inc.
6.1.2 Cerner Corporation
6.1.3 DELL EMC
6.1.4 Epic Systems Corporation
6.1.5 General Electric Company (GE Healthcare)
6.1.6 SAS INSTITUTE INC.
6.1.7 International Business Machines Corporation (IBM)
6.1.8 Innovaccer Inc.
6.1.9 Oracle Corporation
6.1.10 Optum Inc.
6.1.11 ExlService Holdings Inc.
6.1.12 Health Fidelity Inc.
6.1.13 Apixio
6.1.14 Lumiata
6.1.15 Flatiron Health
*List Not Exhaustive7. MARKET OPPORTUNITIES AND FUTURE TRENDS
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Frequently Asked Questions
What is the study period of this market?
The Global Big Data Healthcare Market market is studied from 2018 - 2026.
What is the growth rate of Global Big Data Healthcare Market?
The Global Big Data Healthcare Market is growing at a CAGR of 16.24% over the next 5 years.
What is Global Big Data Healthcare Market size in 2018?
The Global Big Data Healthcare Market is valued at 23749 Million USD in 2018.
What is Global Big Data Healthcare Market size in 2026?
The Global Big Data Healthcare Market is valued at 58404 Million USD in 2026.
Which region has highest growth rate in Global Big Data Healthcare Market?
Asia Pacific is growing at the highest CAGR over 2021- 2026.
Which region has largest share in Global Big Data Healthcare Market?
North America holds highest share in 2020.
Who are the key players in Global Big Data Healthcare Market?
Allscripts Healthcare, LLC, IBM, Oracle Corporation, Cerner Corporation, General Electric Company (GE Healthcare) are the major companies operating in Global Big Data Healthcare Market.
