Healthcare Predictive Analytics Market to Grow at 22% CAGR by 2028 | IMARC Group
What is the Size of Healthcare Predictive Analytics Market ? :
The latest research study “Healthcare Predictive Analytics Market: Global Industry
Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028” by
IMARC Group, finds that the global healthcare
predictive analytics market size reached US$ 7.8 Billion in 2022.
Looking forward, IMARC Group expects the market to reach a value of US$ 27.6
Billion by 2028, exhibiting a growth rate (CAGR) of 22% during 2023-2028.
Healthcare predictive analytics represents advanced software
systems that can automatically analyze a large amount of historical and current
data to offer actionable insights, enhance decision-making, and optimize
treatment outcomes within the healthcare industry. They include several
solutions, such as clinical data analytics, financial data analytics, research
data analytics, operation management, etc. Healthcare predictive analytics
services aid in facilitating more effective courses of treatment, predicting a
patient's vulnerability to a particular medical condition, ensuring improved
scheduling for both patients and staff, and allowing effective resource
allocation. They also assist in remote monitoring, treatment course designing,
prognosis, clinical decision support, etc. Consequently, they find extensive
utilization in healthcare and pharmaceutical sectors across the globe.
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Competitive Landscape with Key Players:
The competitive landscape of the industry has also been examined
along with the profiles of the key players being
- Allscripts
Healthcare Solutions Inc
- Cerner
Corporation
- IBM
Corporation
- McKesson
Corporation
- MedeAnalytics
Inc
- Microsoft
Corporation
- Oracle
Corporation
- SAS
Institute Inc
- UnitedHealth
Group Incorporated
- Verisk
Analytics
Global Healthcare Predictive Analytics Market Development and
Growth:
The growing healthcare industry across countries and the
escalating adoption of electronic health record (EHR) systems to effectively manage
patient outcomes and provide complete, accurate, and up-to-date information are
primarily driving the healthcare predictive analytics market. In addition to
this, the elevating integration of advanced technologies, including the
internet of things (IoT) and big data that help to collect patient records and
test results, analyze disease patterns, and increase patient comfort and
convenience, is acting as another significant growth-inducing factor. Apart
from this, the shifting preferences toward the system, owing to its
cost-effectiveness and efficient fraud detection and decision-making
capabilities, are also positively influencing the global market. Moreover, the
expanding geriatric population, which is prone to chronic diseases, and the
inflating investments by government bodies to make significant improvements in
healthcare infrastructure are expected to propel the healthcare predictive
analytics market in the coming years.
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Key Market Segmentation:
Breakup by Product:
- Hardware
- Software
and Services
Breakup by Deployment Mode:
- On-premises
- Cloud-based
Breakup by Application:
- Clinical
Data Analytics
- Financial
Data Analytics
- Research
Data Analytics
- Operations
Management
- Others
Breakup by End User:
- Healthcare
Payer
- Healthcare
Provider
- Others
Breakup by Region:
- North
America: (United States, Canada)
- Asia
Pacific: (China, Japan, India, South Korea, Australia, Indonesia, Others)
- Europe:
(Germany, France, United Kingdom, Italy, Spain, Russia, Others)
- Latin
America: (Brazil, Mexico, Others)
- Middle
East and Africa
Key Highlights of the Report:
- Market
Performance (2017-2022)
- Market
Outlook (2023-2028)
- Porter’s
Five Forces Analysis
- Market
Drivers and Success Factors
- SWOT
Analysis
- Value
Chain
- Comprehensive
Mapping of the Competitive Landscape
Note: If you need specific information that
is not currently within the scope of the report, we can provide it to you as a
part of the customization.
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