Edison, NJ -- (SBWIRE) -- 05/28/2020 -- Latest Research Study on Global Big Data Analytics in Healthcare Market published by AMA, offers a detailed overview of the factors influencing the global business scope. Global Big Data Analytics in Healthcare Market research report shows the latest market insights with upcoming trends and breakdown of the products and services. The report provides key statistics on the market status, size, share, growth factors, Challenges and Current Scenario Analysis of the Global Big Data Analytics in Healthcare. This Report also covers the emerging player's data, including: competitive situation, sales, revenue and global market share of top manufacturers are IBM (United States), Optum, Inc. (United States), Cerner (United States), SAS Institute, Inc. (United States), Allscripts Healthcare Solutions (United States), McKesson (United States), General Electric Healthcare (United States), Hewlett Packard Enterprise (United States), Microsoft (United States), Oracle (United States), Dell (United States) and Health Catalyst (United States).
Analyst at AMA have conducted special survey and have connected with opinion leaders and Industry experts from various region to minutely understand impact on growth as well as local reforms to fight the situation. A special chapter in the study presents Impact Analysis of COVID-19 on Global Big Data Analytics in Healthcare Market along with tables and graphs related to various country and segments showcasing impact on growth trends. According to Market Analyst at AMA, the Global Big Data Analytics in Healthcare market may see a growth rate of 18.21%
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Big data in healthcare is used to manage large and complex data sets that are not manageable with traditional software and/or hardware. The increasing cost of healthcare, the prevalence of chronic diseases, and the rise in the elderly population around the world driving the demand for transformation of the healthcare industry from a hospital-centered system to a patient-centered environment. Big data in the healthcare market has high growth prospects owing to increasing spending on technological advancement in the healthcare industry. Further, the growing adoption of cloud-based analytics solutions in the healthcare industry expected to drive market growth over the forecasted period.
Market Drivers
- Government Initiatives to Support Digitization in the Healthcare Industry
- Increasing Adoption of Big Data Analytics Solutions in the Healthcare Industry
Market Trend
- Technological Development in Drug Discovery and Genomic Sequencing
- Emergence of Telehealth
Restraints
- High Cost of Analytics Solutions
- Dearth of Skilled Personnel
Opportunities
- Rising Adoption of Cloud-Based Analytics Solutions in the Healthcare Industry
- Growing Healthcare Infrastructure in the Developing Economies
Challenges
- Patient Data Confidentiality
- Reluctance to Adopt Healthcare Analytics in Emerging Economies
The Global Big Data Analytics in Healthcare Market segments and Market Data Break Down are illuminated below:
Application (Clinical Analytics, Financial Analytics, Operational Analytics), Deployment (On-Premise, Cloud), Component (Software, Services), Analytics (Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, Diagnostic Analytics), End User (Hospitals & Clinics, Finance & Insurance Agencies, Research Organizations)
Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa
Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.
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Strategic Points Covered in Table of Content of Global Big Data Analytics in Healthcare Market:
Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Global Big Data Analytics in Healthcare market
Chapter 2: Exclusive Summary – the basic information of the Global Big Data Analytics in Healthcare Market.
Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges & Opportunities of the Global Big Data Analytics in Healthcare
Chapter 4: Presenting the Global Big Data Analytics in Healthcare Market Factor Analysis, Post COVID Impact 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 2014-2019
Chapter 6: Evaluating the leading manufacturers of the Global Big Data Analytics in Healthcare market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile
Chapter 7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2020-2025)
Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source
Finally, Global Big Data Analytics in Healthcare Market is a valuable source of guidance for individuals and companies in their decision framework.
Data Sources & Methodology
The primary sources involves the industry experts from the Global Big Data Analytics in Healthcare Market including the management organizations, processing organizations, analytics service providers of the industry's value chain. All primary sources were interviewed to gather and authenticate qualitative & quantitative information and determine the future prospects.
In the extensive primary research process undertaken for this study, the primary sources – Postal Surveys, telephone, Online & Face-to-Face Survey were considered to obtain and verify both qualitative and quantitative aspects of this research study. When it comes to secondary sources Company's Annual reports, press Releases, Websites, Investor Presentation, Conference Call transcripts, Webinar, Journals, Regulators, National Customs and Industry Associations were given primary weight-age.
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