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Natural Language Processing (NLP) In Healthcare And Life Sciences Global Market Reach $7.02 Billion By 2033, Key Factors behind Market's Exponential Growth
Natural Language Processing (NLP) In Healthcare And Life Sciences Global Market
The natural language processing (nlp) in healthcare and life sciences market size is expected to see exponential growth in the next few years. It will grow to $7.02 billion in 2028 at a compound annual growth rate (CAGR) of 22.3%. The growth in the forecast period can be attributed to ai-driven personalized medicine, expanding telemedicine, regulatory compliance and coding, genomics and precision medicine, healthcare data interoperability. Major trends in the forecast period include conversational ai in patient care, semantic search and knowledge graphs, ethical nlp use, real-time clinical nlp, narrative data processing.
Market Overview -
Natural language processing (NLP) in healthcare and life sciences refers to a field of Artificial Intelligence (AI) that enables machines to comprehend and communicate in human speech. It is used to discover data patterns and perform automated healthcare and life sciences tasks.
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Surge In Virtual Consultations And Electronic Health Records
The increasing adoption of digital technology in the healthcare industry is driving the growth of NLP in the healthcare and life sciences market. Digital technology in healthcare refers to using information and communication technologies in medicine and other health professions to treat patients, reduce health risks, and promote wellness. Natural language processing (NLP) is used as digital healthcare technology to analyze unstructured data and derive valuable medical insights. For instance, in August 2021, according to a US-based provider of innovative and comprehensive services and solutions, the US virtual consultation provider increased from 7% in 2020 to 32% in 2021, and there was an increase of 31% in the use of electronic health records in 2021. Further, in September 2022, according to American Medical Association, a US-based professional association organized into local and regional societies, the adoption of the average number of digital tools by physicians increased to 3.8% in 2022 in the US. Therefore, the increasing adoption of digital technology in the healthcare industry is expected to propel the growth of the NLP in the healthcare and life sciences market.
Competitive Landscape -
Major companies operating in the natural language processing (nlp) in healthcare and life sciences market report are Google LLC, Microsoft Corporation, Optum Inc., Amazon Web Services Inc., International Business Machines Corporation, 3M Company, IQVIA Holdings Inc., Cerner Corporation, Inovalon Holdings Inc., NextGen Healthcare Inc., Welltok Inc., SparkCognition Inc., HealthFusion Inc., Syapse Inc., Apixio Inc., Conversica Inc., Infermedica, Rasa Technologies, Health Fidelity Inc., Linguamatics Ltd., Dolbey Systems Inc., SparkBeyond, Lexalytics Inc., Clinithink Ltd., Semedy AG, Sentient Technologies LLC, Zyla Health, Anumana Inc., Heath Fidelity Inc., Averbis GmbH
Rising Popularity Of Technological Advancements In Nlp For Healthcare
Technological advancements are a key trend gaining popularity in the NLP in the healthcare and life sciences market. Major companies operating in the NLP in the healthcare and life sciences market are concentrating their efforts on creating innovative technologies such as Mercury NLP. For instance, in September 2021, Melax Tech Inc., a US-based natural language processing technology developer, launched Mercury NLP, an AI technology to improve healthcare research through text extraction and normalization. It is uniquely designed to provide clinical NLP pipelines to extract relevant unstructured textual medical data to facilitate quantitative analytics in the medical and pharmaceutical industries.
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Key Segments -
The natural language processing (nlp) in healthcare and life sciences market covered in this report is segmented -
1) By NLP Type: Rule-Based NLP, Statistical NLP, Hybrid NLP
2) By Component: Solutions, Services,
3) By Organization Size: Large Enterprises, Small And Midsize Enterprises (SMEs)
4) By Application: Sentiment Analysis, Drug Discovery, Clinical Trail Matching, Risk And Compliance Management, Dictation And EMR Implication, Automated Registry Reporting, AI Chatbots And Virtual Scribe, Other Applications
5) By End-User: Public Health And Government Agencies, Medical Devices, Healthcare Insurance, Pharmaceuticals, Other End-Users
Key highlights covered in the report -
1. Detailed market size forecast and historical data analysis
2. Key drivers influencing market growth
3. Identification of upcoming trends and potential opportunities in the market
4. Analysis of major players strategies, to understand competitive dynamics and market positioning
5. Evaluation of regional dynamics
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