The global healthcare big data analytics market reached a value of US$ 31.8 Billion in 2021. Looking forward, IMARC Group expects the market to reach US$ 71.6 Billion by 2027, exhibiting a CAGR of 14.1% during 2022-2027. Keeping in mind the uncertainties of COVID-19, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end use sectors. These insights are included in the report as a major market contributor.

Big data analytics is a type of advanced analytics which consists of a set of statistical algorithms and predictive models supported by high-performance analytics systems. With high-powered computing systems, these solutions offer several business benefits in the healthcare industry such as effective marketing, new revenue opportunities, better operational efficiency and improved patient care. At present, various healthcare organizations ranging from multi-provider groups and single-physician offices to large hospital networks are increasingly adopting big data analytics. This rise can be attributed to the multiple advantages of this service which include detecting healthcare fraud quickly and efficiently, and analyzing clinical trials and patient records.

In the coming years, the existing healthcare data volume is expected to grow significantly owing to the rapid change in healthcare reimbursement models. Owing to this, organizations in the industry are leveraging big data analytics to reduce inefficiency in clinical operations, research and development, and public healthcare. In clinical activities, these solutions help in conducting comparative effectiveness research for defining more cost-effective and clinically relevant ways for diagnosing and treating patients. Similarly, in research and development, big data analytics enables operators to create predictive models for lowering attrition and producing more targeted R&D pipeline in drugs and devices. Moreover, big data analytics helps in analyzing and tracking disease patterns, outbreaks and transmission for improving public health surveillance. Such benefits and advantages are currently driving the demand for big data analytics market in the healthcare industry.

Key Market Segmentation:
IMARC Group provides an analysis of the key trends in each sub-segment of the global healthcare big data analytics market, along with forecasts at the global and regional level from 2022-2027. Our report has categorized the market based on component, analytics type, delivery model, application, and end-user.

Breakup by Component:

Electronic Health Record Software
Practice Management
Workforce Management
Data Storage
Virtual Private Networks
E-Mail Servers

Breakup by Analytics Type:

Descriptive Analytics
Predictive Analytics
Prescriptive Analytics
Cognitive Analytics

Breakup by Delivery Model:

On-Premise Delivery Model
On-Demand Delivery Model

Breakup by Application:

Financial Analytics
Clinical Analytics
Operational Analytics

Breakup by End-User:

Hospitals and Clinics
Finance and Insurance Agencies
Research Organizations

Breakup by Region:

North America
Asia Pacific
Middle East and Africa
Latin America

Competitive Landscape:

The report has also analysed the competitive landscape of the market with some of the key players being Allscripts Healthcare Solutions, Cerner, IBM, Cotiviti, Oracle, Health Catalyst, Inovalon, Optum, Citiustech, Mckesson, Medeanalytics, SAS Institute, SCIO Health Analytics, Vitreoshealth, Wipro, Cognizant, Siemens Healthcare, Hewlett-Packard, Koninklijke Philips, GE Healthcare, etc. Key Questions Answered in This Report:

How has the global healthcare big data analytics market performed so far and how will it perform in the coming years?
What are the key regional markets in the global healthcare big data analytics industry?
What has been the impact of COVID-19 on the global healthcare big data analytics market?
What is the breakup of the market based on the component?
What is the breakup of the market based on the analytics type?
What is the breakup of the market based on the delivery model?
What is the breakup of the market based on the application?
What is the breakup of the market based on the end-user?
What are the various stages in the value chain of the global big data analytics in healthcare industry?
What are the key driving factors and challenges in the global big data analytics in healthcare industry?
What is the structure of the global big data analytics in healthcare industry and who are the key players?
What is the degree of competition in the global big data analytics in healthcare industry?