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    Major players operating in the global natural language processing in the healthcare and life sciences market include 3M, Cerner Corporation, IBM Corporation, Microsoft Corporation, Hewlett Packard Enterprise Development LP, Health Fidelity, Inc., Centene Corporation, Inovalon, Amazon.com, Inc., Averbis GmbH, Clinithink, Wave Health Technologies, SparkCognition, Lexalytics, Conversica Inc., Dolbey Systems, Inc., and Alphabet Inc.

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    NLP Technologies
    NEC Corporation
    Microsoft Corporation
    IBM Corporation
    Global Healthcare Natural Language Processing Industry Key Segments

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    Information Extraction
    Automatic Summarization
    Text and Voice Processing
    By Region:

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    Europe
    Asia Pacific
    Middle East & Africa
    South America
    Comparative View of the Adjacent Healthcare Natural Language Processing Market The Global Healthcare Natural Language Processing Industry is experiencing a remarkable surge, fueled by the transformative power of advanced language technologies. According to a recent analysis by Future Market Insights (FMI), the market is projected to reach a staggering US$18.5 billion by 2033, propelled by a robust Compound Annual Growth Rate (CAGR) of 18.0% from 2023. This translates to a significant jump from its estimated valuation of approximately US$3.5 billion at the end of 2023. In the realm of NLP, text and voice processing technologies emerge as the market vanguard, commanding a substantial share of approximately 34.7% within the global landscape throughout 2023. This shift is indicative of a paradigmatic transformation in the healthcare industry, driven by cutting-edge innovations in natural language processing. 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Language processing is an artificial intelligence (AI) subset that promotes human-machine interaction. Text analytics and natural language processing (NLP) technology are also being used by large-scale social media platforms to measure and supervise social media activity such as political evaluations and hate speeches. These tools are used by platforms such as Facebook and Twitter to manage published material. The increased importance of web data for successful marketing and decision-making is expected to drive up demand for information extraction product applications. Mobile chatbots are expected to change the marketing and commerce industries in the coming years. 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