The global NLP in healthcare and life sciences market share is expected to witness significant growth in the coming years. NLP technology has revolutionized the way healthcare professionals and researchers analyze and interpret vast amounts of unstructured data, such as medical records, clinical notes, research papers, and patient feedback.

One of the key factors driving the market share of NLP in healthcare and life sciences is the increasing adoption of electronic health records (EHRs) across healthcare facilities worldwide. The integration of NLP technology with EHR systems enables efficient extraction of relevant information from these records, facilitating better clinical decision-making, improved patient care, and enhanced operational efficiency.

Moreover, the rising demand for personalized medicine and precision healthcare has further propelled the need for advanced NLP solutions. By leveraging NLP algorithms, healthcare providers can extract valuable insights from patient data to develop tailored treatment plans based on individual characteristics, genetic profiles, and medical history.

The NLP in Healthcare and Life Sciences Market Size was valued at USD 2.35 billion in 2022 and is expected to reach USD 9.54 billion by 2030, and grow at a CAGR of 19.1% over the forecast period 2023-2030.

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KEY MARKET SEGMENTATION:

By Component:

  • Solution
  • Services

By Deployment Mode:

  • Cloud
  • On-premises

By Organization Size:

  • Large enterprises
  • Small and medium-sized enterprises (SMEs)

By NLP:

  • Rule-based
  • Hybrid
  • Statistical

By Application:

  • IVR
  • Summarization and Categorization
  • Pattern and Image Recognition
  • Predictive Risk Analytics
  • Text and Speech Analytics
  • Reporting and Visualization
  • Other

By End User:

  • NLP for Physician
  • NLP for Clinical Operators
  • NLP for Patients
  • NLP for Researchers

Some of the major key players are as follows: IBM, 3M, Health Fidelity, Inc., Linguamatics, Cerner Corporation, Dolbey, Apixio, Amazon.com, Microsoft Corporation, and other players.

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