Cognitive computing in Healthcare Market : Industry Analysis, Opportunity Assessment and Forecast upto 2025
Cognitive computing is the presentation of human thought process in computerized model. It helps machine to think, interpret and conclude like human brain. Using machine learning algorithms that use pattern recognition, data mining, predictive modelling and natural language processing, the machine can replicate the way the human brain works. Today cognitive computing is helping in decision making not only in healthcare but also in other industries like finance, customer services, education, research and many more. The growth of cognitive computing market in healthcare is due to huge demand of organizations to incorporate advanced data analytics technology into their business processes so as to provide more efficient results and improved patient diagnosis, research and various clinical operations. Moreover there is lot amount of large, unstructured and complex data which needs to be analyzed so as to enhance patient care. Obtain Report Details @ http://www.transparencymarketresearch.com/cognitive-computing-in-healthcaremarket.html Existing big data analytics systems are not able to process these data sets hence business organizations are shifting towards the cognitive computing. However for driving efficient results cognitive computing systems for healthcare should be adaptive and should be able to mimic human brain and surroundings as well as it should be highly interactive and should be able to interact with all systems such as processor, cloud services, devices and user. Artificial intelligence (AI) with the emergence of Internet of things (IoT) is expected to drive the cognitive market which is expected to grow rapidly during the forecast period. Global cognitive computing in healthcare market can be categorized on the basis of technology such as natural language processing (nlp), machine learning, automated reasoning, and other technologies. Among technology segment natural language processing segment is expected generated the maximum revenue in global cognitive computing in healthcare market and is followed by machine learning.