Published on : Nov 22, 2018
Albany, New York, November 22, 2018: With the prospect of providing creative insights and automating tedious work, healthcare sector is reaping benefits from cognitive computing and artificial intelligence. Cognitive computing has made it possible to access the health data that were previously inaccessible. Assimilation regarding finding solutions for long-standing conditions along with policy decisions to reduce healthcare costs have made it indispensable for healthcare to embrace cognitive computing/artificial intelligence. These assimilations are according to the report titled “Cognitive Computing and Artificial Intelligence Systems Market in Healthcare,” which has been recently added to the repository of Market Research Hub.
Healthcare is witnessing disruption through massive growth in data. Footprint of medical data is estimated to double every 73 day by 2020. Cognitive computing has made healthcare providers make faster, coherent, better and cost-efficient decisions. Moreover, patients get the leverage to assess their health. These have pushed the healthcare sector which has been bolstered by cognitive computing and artificial intelligence.
Cognitive computing and artificial intelligence have enabled researchers to decipher the relationships among proteins, genes, phenotypes, pathways and diseases. Artificial intelligence market garnering traction could be attributed to its assistance in sifting the critical aspect of a patient’s case. The disruption of the AI has made individualized treatment plans possible.
The efforts of IBM’s cognitive computing in health care received accolades from all corners. In April, 2015, world witnessed IBM Watson and the Watson health care platform which aims at enhancing the ability of researchers, doctors and insurers by sifting through the large amount of personal health data. Further, IBM joined hands with New York’s memorial Sloan-Kettering cancer center to use Watson technology for the cancer treatment. IBM also partnered with Apple to provide real-time feedback and recommendations to augment personal health care.
Surge in the processing power and potency of artificial intelligence and dearth of skilled healthcare professional have pushed the market. However, apprehension from healthcare professionals in adapting the AI is one of the roadblocks.
Cognitive Computing and Artificial Intelligence Systems Market in Healthcare: Report Content
The analysis of this report provides a thorough assessment on the cognitive computing and artificial intelligence system market in health care. Besides, the report includes major drivers for the cognitive computing and artificial intelligence, opportunities, challenges and trends. Moreover, the report delineates the role of supply chain members ranging from researchers to manufacturers.
The report furnishes an in-depth analysis on the prominent companies operating for cognitive computing and artificial intelligence in health care. A few of the eminent players are Apple Inc., IBM, Microsoft Corp., and Alphabet Inc.
The report also incorporates the market segmentation in health care for Cognitive computing and artificial intelligence systems. The market is fragmented on the basis of offering, technology, end user, application and geography. Apart from that, report also covers predominant stakeholders, product portfolios and recent developments.
Cognitive Computing and Artificial Intelligence Systems Market in Healthcare: Research Methodology
An exhaustive research methodology has been embraced with regards to furnishing a research approach incorporating of secondary and primary research. The analysis in the report is the result of an in-depth secondary research, primary interviews and in-house reviews by panel of experts.
The secondary research is collated from company websites, SEC filings and presentations by investors, industry white paper and statistical database. Besides, the primary research embodies face to face interviews, phonic interviews and e-mail interaction. To provide the readers with authentic report, a panel of expert assesses the data collected from various sources.
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