Technological advancements in the healthcare industry, the increasing burden of chronic diseases, and a spur in the adoption of third computing platforms are driving the healthcare cognitive computing market. It valued at $1,722.0 million in 2017 and it is expected to advance at a 34.0% CAGR during the forecast period (2018–2024). Cognitive computing refers to the creation of human thinking in a computerized model via pattern recognition, data mining, and natural language processing.
The increasing partnerships among leading players are trending in the healthcare cognitive computing market. For research related to chronic diseases, the cognitive computing technology is widely being employed. This has been made possible by the increasing collaborations among manufacturing companies and research institutes. For instance, NVIDIA Corporation and Nuance Communications Inc. announced in November 2017 that they were planning to equip healthcare data scientists and radiologists with machine learning. This partnership was aimed at improving patient care by highlighting key clinical findings.
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The major contributing factor in the growth of the healthcare cognitive computing market is the technological advancements in the healthcare industry. The increase in clinical trials and drug discovery has resulted in the demand for data consolidation and advanced data analytics. The cognitive computing technology has been included to simplify doctors’ task of understanding patients’ conditions and devising a suitable treatment plan. These technologies have already been adopted by many hospitals in developed countries, such as Alder Hey Children’s Hospital, in collaboration with Roald Dahl Foundation, in 2016.
The healthcare cognitive computing market is segmented by geography, technology, end user, and deployment model. Based on end user, the categories are healthcare payers, healthcare providers, medical device companies, and pharmaceutical companies. In 2017, with a contribution of $767.2 million, the largest end user of these technologies was the healthcare providers category. This was mainly due to the implementation of advanced technologies and increasing patient pool across various regions.
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The deployment model segment of the market includes the on-premises and cloud categories. The larger category in the market in 2017 was cloud computing, which is expected to exhibit a 34.5% CAGR during the forecast period. The rapid growth can be attributed to cloud’s ability to store high amounts of data in a cost-effective manner, in turn, becoming accessible to even smaller hospitals to provide the best services possible.
Thus, the market is slated to experience growth during the forecast period as the demand for storing and organizing huge amounts of healthcare data is on the rise.
