The growing popularity of big data applications, the growing demand for health care workforces and patients, the potential for artificial care based on artificial intelligence (AI) technology, improving patient medical outcomes, and expanding precision medicine (precision) Medicine), emerging markets such as the mainland and India, which are in urgent need of development investment, will drive AI to develop in the global health care market. According to a report by Allied Market Research, the size of AI in the global health care market was approximately $1.441 billion in 2016 and is estimated to reach $22.79 billion in 2023. The compound annual growth rate (CAGR) for the period is 48.7. %. Among them, North America is the largest contributor in 2016, and it is estimated that this trend will continue in the future; it is estimated that the fastest growth in the period from 2017 to 2023 will be in the Asia-Pacific region, with the largest growth being in the mainland. The health care industry is indispensable in assisting in the analysis of complex medical imaging such as computed tomography (CT scan) or magnetic resonance imaging (MRI), preservation of electronic health records (EHR) and electronic medical records (EMR), and is of course based on AI technology and equipment. However, research suggests that the lack of standard regulations and guidelines, as well as the reluctance of health care professionals to AI technology, will hinder further adoption and market growth of AI. In 2016, the fastest growing segment of the user segment was the pharmaceutical and biotechnology company; the fastest growing segment between 2017 and 2023 was hardware, and the fastest growing application was to reduce drug dose errors and health care. The supplier segmentation is expected to continue to dominate the market as it currently does. Due to the surge in demand for minimally invasive surgery with a wide range of AI-assisted technologies, robot-assisted surgery accounted for the largest share in 2016, with an estimated CAGR of 46.1%. Due to the increase in the application of data exploration and image recognition, the deep learning application segment has the fastest growth rate in 2016; the largest contribution in 2016 is the natural language processing (NLP) application segment, which is expected to remain in the period from 2017 to 2023. Live in market dominance.
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April 03, 2023