Predictive Analytics in Healthcare Market Product Type, Including Sales, Revenue, Price, Market Share and Growth Rate to 2027 | Microsoft Corporation, Verisk Analytics

Jan 11, 2022 (Market Intelligence Data): This report provides an in-depth look at the “Predictive Analytics in Healthcare Market” including supporting technologies, key trends, market drivers, challenges, standardization, regulatory environment, deployment models, operator case studies, opportunities, future Give an evaluation. Roadmaps, value chains, ecosystem player profiles. and strategy. The report also provides SWOT analysis and forecast for Predictive Analytics in Healthcare from 2022 to 2027.

Over the next five years the Predictive Analytics in Healthcare market will register a 29.1% CAGR in terms of revenue.

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The leading Predictive Analytics in Healthcare market players listed are:

Allscripts Healthcare Solutions, Cerner Corporation, IBM Corporation, Information Builders, MedeAnalytics, Optum, Oracle Corporation, SAS Institute, Microsoft Corporation, Verisk Analytics

Key Market Trends

Clinical Data Analytics is expected to Witness Lucrative Growth

Predictive modeling, part of clinical data analytics, is being used by the healthcare providers to estimate the risk percentage to an individual’s health. The clinical data analytics help the patients and caregivers with post-operation issues, such as surgical site infections, poor physical function, and reaction to medicines and allergies, as healthcare providers are equipped with the patients’ historical medical data, which has been provided through the electronic health records. Moreover, with clinical data analytics, patients can explain their health conditions to different doctors repeatedly. This can be achieved through an acute analysis of their clinical data, further providing preventive care.

The growth of clinical data analytics is expected to reduce healthcare costs, increase the accessibility of big data in healthcare industry, and technological advancements. The patient data captured, shared, and aggregated by these applications is the primary source of the data that healthcare organizations analyze using these clinical analytic tools.

Types of Products:

Software
Hardware
Service

Application spectrum:

Healthcare Payer
Healthcare Provider
Others

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North America is Expected to Dominate the Market

The healthcare infrastructure in the United States is experiencing positive trends in the predictive analytics domain. Studies have shown that since last few years, more than 40% of healthcare executives reported a 50% increase in data volume. As the data sets become bigger and more difficult to handle, health systems and payers are increasingly adopting predictive analytics.

Healthcare organizations are also realizing that social determinants of health contribute to the wellbeing of a patient more than the medical issues. In 2016, both social determinants of health along with drug usage and emergency room admissions data rapidly drove the predictive model for identifying cost risks of population clusters.

Regions and Countries Level Analysis:

Geographical Breakdown: The regional and country breakdowns section gives an analysis of the market in each geography and the size of the Predictive Analytics in Healthcare market by geography and compares their historic and forecast growth. It covers the impact and recovery path of Covid 19 for all regions, key developed countries and major emerging markets.

Countries: Argentina, Australia, Austria, Belgium, Brazil, Canada, Chile, China, Colombia, Czech Republic, Denmark, Egypt, Finland, France, Germany, Hong Kong, India, Indonesia, Ireland, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, New Zealand, Nigeria, Norway, Peru, Philippines, Poland, Portugal, Romania, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Switzerland, Thailand, Turkey, UAE, UK, USA, Venezuela, Vietnam

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Highlights of the report:

A complete backdrop analysis, which includes an assessment of the parent market
Important changes in Predictive Analytics in Healthcare market dynamics
Market segmentation up to the second or third level
Historical, current, and projected size of the market from the standpoint of both value and volume
Reporting and evaluation of recent industry developments
Predictive Analytics in Healthcare Market shares and strategies of key players
Emerging niche segments and regional Predictive Analytics in Healthcare market
An objective assessment of the trajectory of the Predictive Analytics in Healthcare market
Recommendations to companies for strengthening their foothold in the market

Strategic Points Covered in Table of Content of Global Predictive Analytics in Healthcare Market:

Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Predictive Analytics in Healthcare market

Chapter 2: Exclusive Summary – the basic information of the Predictive Analytics in Healthcare Market.

Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges & Opportunities of the Predictive Analytics in Healthcare market.

Chapter 4: Presenting the Predictive Analytics in Healthcare Market Factor Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.

Chapter 5: Displaying the by Type, End User and Region/Country 2016-2021

Chapter 6: Evaluating the leading manufacturers of the Predictive Analytics in Healthcare market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile

Chapter 7: To evaluate the Predictive Analytics in Healthcare market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2022-2027)

Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source

To be Continued…

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