The growing initiative to promote the adoption of healthcare information and the rising advent of cloud will drive the demand for Big Data in the Healthcare market.
The global Big Data in Healthcare Market is forecasted to be worth USD 78.03 Billion by 2027, according to a current analysis by Emergen Research. An increasing cost of healthcare, a rise in chronic diseases, a growing geriatric population, and a fall in reimbursement cost will propel the demand for the market.
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Healthcare sectors are under immense pressure to focus on investment improving resource and outcomes management. Deployment of analytical tools, artificial intelligence, and machine learning techniques on the growing amount of data to enhance revenue, reduce healthcare costs, and personalized medicine, which will propel the demand for the market.
Big Data in Healthcare Market Drivers
Market growth is majorly driven by the advancement in the epigenomics, metabolomics, proteomics, genomics, transcriptomics, and pharmacogenomics, which are responsible for the considerable generation of non-structural medical data.
The growing use cases of the big data in healthcare for multiple bio-sciences applications, mainly in genomic sequencing and also in discovery of drug have driven the market growth. The increasing availability of the cost effective big data in healthcare services and software has propelled their market demand in the healthcare segment.
Market Size – USD 19.93 Billion in 2019, Market Growth – CAGR of 19.6%, Market trends – The infiltration of the internet in the Healthcare sector.
Key participants include Cerner Corporation, GE Healthcare, IBM Corporation, Allscripts, DELL EMC, Microsoft Corporation, Optum Inc., Oracle Corporation, Cognizant, and Mckesson, among others.
The report discovers market’s total sale that is generated by a particular firms over a time period. Industry experts calculate share by taking into account the product sales over a period and then dividing it by the overall sales of the Black Phosphorus industry over a defined period. Subject matter experts further use this metric to offer a general idea of the share and size of a firm and its immediate rivals. By providing an in-depth knowledge of the position a company as well as an entrepreneur holds in the Black Phosphorus market
- Component Outlook (Revenue, USD Billion; 2017-2027)
- Deployment Outlook (Revenue, USD Billion; 2017-2027)
- Analytics Type Outlook (Revenue, USD Billion; 2017-2027)
- Predictive Analytics
- Descriptive Analytics
- Prescriptive Analytics
- Diagnostic Analytics
- Application Outlook (Revenue, USD Billion; 2017-2027)
- Clinical Analytics
- Financial Analytics
- Operational Analytics
- End-User Outlook (Revenue, USD Billion; 2017-2027)
- Hospitals and Clinics
- Finance and Insurance Agents
- Research Organization
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The North American region dominated the market in terms of revenue share due to the rapid adaptation of AI and IoT. Considerable market trend in the North American region is the increasing preference of the value-based model of the pay-for-service model that takes into validation the success rate of the patient’s treatment rather than focusing on the healthcare workers for only performing the procedure.
The research provides answers to the following key questions:
What will be the growth rate and the market size of the Big Data in Healthcare industry for the forecast period 2020-2027?
What are the major driving forces expected to impact the development of the Big Data in Healthcare market across different regions?
Who are the major driving forces expected to decide the fate of the industry worldwide?
Who are the prominent market players making a mark in the Big Data in Healthcare market with their winning strategies?
Which industry trends are likely to shape the future of the industry during the forecast period 2020-2027?
What are the key barriers and threats believed to hinder the development of the industry?
What are the future opportunities in the Big Data in Healthcare market?
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The global Big Data in Healthcare market research is carried out at the different stages of the business lifecycle from the production of a product, cost, launch, application, consumption volume and sale. The research offers valuable insights into the marketplace from the beginning including some sound business plans chalked out by prominent market leaders to establish a strong foothold and expand their products into one that’s better than others.
Table of Content
Chapter 1. Methodology & Sources
1.1. Market Definition
1.2. Research Scope
1.4. Research Sources
1.4.3. Paid Sources
1.5. Market Estimation Technique
Chapter 2. Executive Summary
2.1. Summary Snapshot, 2019-2027
Chapter 3. Key Insights
Chapter 4. Big Data in Healthcare Market Segmentation & Impact Analysis
4.1. Big Data in Healthcare Market Material Segmentation Analysis
4.2. Industrial Outlook
4.2.1. Market indicators analysis
4.2.2. Market drivers analysis
126.96.36.199. Increase in the demand for analytics solutions for population health management
188.8.131.52. Surge in adoption of big data among the end users in healthcare industry
4.2.3. Market restraints analysis
184.108.40.206. Lack of skilled and expert staff
4.3. Technological Insights
4.4. Regulatory Framework
4.5. Porter’s Five Forces Analysis
4.6. Competitive Metric Space Analysis
4.7. Price trend Analysis
4.8. Covid-19 Impact Analysis
Chapter 5. Big Data in Healthcare Market By Component Insights & Trends Revenue (USD Million)
5.1. Component Dynamics & Market Share, 2019 & 2027
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