The Business Research Company’s Natural Language Processing (NLP) In Healthcare And Life Sciences Global Market Report 2023 is the most detailed report available on the market, including broad forecast periods and multiple geographies. The report covers the historic period – 2010-2021, and the forecast period – 2023-2032. The Natural Language Processing (NLP) In Healthcare And Life Sciences Global Market Report 2023 evaluates natural language processing (nlp) in healthcare and life sciences market size, growth rate, drivers, trends, and major companies.
The report provides a global perspective by covering 60 geographies and focusing on major economies in each region – Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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The global NLP in healthcare and life sciences market is expected to grow from $2.09 billion in 2022 to $2.56 billion in 2023 at a compound annual growth rate (CAGR) of 22.6%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic. The war between these two countries has led to economic sanctions on multiple countries, surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and resulted in increased interest rates affecting many markets across the globe. The NLP in healthcare and life sciences market is expected to reach $5.68 billion in 2027 at a CAGR of 22.1%.
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 Accenture PLC, 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.
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The natural language processing (nlp) in healthcare and life sciences market segments in the report are:
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
The table of contents in TBRC’s natural language processing (nlp) in healthcare and life sciences market report includes:
1. Executive Summary
2. NLP In Healthcare And Life Sciences Market Characteristics
3. NLP In Healthcare And Life Sciences Market Trends And Strategies
4. NLP In Healthcare And Life Sciences Market – Macro Economic Scenario
5. NLP In Healthcare And Life Sciences Market Segmentation
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26. South America NLP In Healthcare And Life Sciences Market
27. Brazil NLP In Healthcare And Life Sciences Market
28. Middle East NLP In Healthcare And Life Sciences Market
29. Africa NLP In Healthcare And Life Sciences Market
30. NLP In Healthcare And Life Sciences Market Competitive Landscape And Company
Top Major Players:
- Google LLC
- Microsoft Corporation
- Optum Inc
- Amazon Web Services Inc
- International Business Machines Corporation
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