Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market, By Component Type (Technology (Interactive Voice Response, Optical Character Recognition, Pattern and Image Recognition, Auto Coding, Text Analytics, Speech Analytics), and Services), By Application (Drug Discovery, EHRs, Clinical Trial Analytics, Adverse Event Reporting, Others), By Deployment Mode (On-premise, Cloud), and By Region (North America, Latin America, Europe, Asia Pacific, Middle East, and Africa) is estimated to be valued at US$ 4.98 Billion in 2023 and is expected to exhibit a CAGR of 30.5% during the forecast period (2023-2030), as highlighted in a new report published by Coherent Market Insights.
Market players are focused on development of roducts, which will drive the global natural language processing (NLP) in healthcare and life sciences market. For instance, in December 2019, Amazon Web Services Inc. updated its natural language processing service for healthcare providers with a new feature that lets them link to information from medical ontologies
Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market– Impact of Coronavirus (COVID-19) Pandemic
Since the COVID-19 virus outbreak in December 2019, the disease has spread to over 100 countries across the globe, and the World Health Organization has declared it a public health emergency. According to the World Health Organization’s report, the manifestation of coronavirus disease (COVID-19) has resulted in more than 203 million infected individuals worldwide as of August 12, 2021.
COVID-19 can affect the economy in three main ways: by directly affecting production and demand, by creating disruptions in distribution channels, and through its financial impact on firms and financial markets. Due to nationwide lockdowns, several countries, such as China, India, Saudi Arabia, UAE, Egypt, and others, faced problems with regards to the transportation of drugs from one place to another.
Moreover, market players operating in the global natural language processing (NLP) in healthcare and life sciences market faced major challenges on various fronts due to the COVID-19 pandemic. The major challenges include supply of raw materials required for manufacturing instruments due to irregularities in transportation facilities. Moreover, distributors of products experienced irregular demand for products from retailers due to the increasing number of patients suffering from COVID-19 and other life-threatening disorders.
Furthermore, various key players in the market are focusing on utilizing natural language processing for evaluating the treatments for COVID-19 during the pandemic.
For instance, The Linguamatics, an iQvia company, implemented ‘The Linguamatics NLP COVID-19 Evidence Hub’, which integrates the COVID-19 related information (which includes treatment for COVID-19 and the number of COVID-19 patients around the world) and is included in two document sets, such as the ‘COVID-19 Open Research Dataset (CORD19)’ and COVID-19 full text papers, with MEDLINE, ClinicalTrials.gov, PubMed Central, and U.S. FDA drug labels stored in the linguamatics natural language processing cloud platform.
Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market: Key Developments
In May 2021, Microsoft Corporation, a Technology Firm, introduced its first product features powered by GPT- 3, the powerful natural language model developed by OpenAI, which will help users build apps without needing to know how to write computer code or formulas.
In December 2020, Cerner Corporation, Computers and information technology company announced an agreement to acquire Kantar Health, a division of Kantar Group, for US$ 375 million in cash, subject to adjustment. The acquisition is expected to allow Cerner’s Learning Health Network client consortium to more directly engage with life sciences for funded research studies.
In December 2020, IBM Corporation, an American multinational technology corporation launched a new AI (Artificial intelligence) called Reading Comprehension, which surfaces answers from databases of enterprise documents in response to natural language questions, assigning a confidence score to each response.
In February 2019, 3M, Multinational conglomerate company acquired M*Modal, a company that provides cloud-based clinical documentation solutions for speech recognition, medical transcription, Clinical Documentation Improvement (CDI), and coding with strategic acquisition investment. The acquisition aimed to expand the capabilities of 3M’s health information systems business. The total investment in the acquisition was around US$1.0 billion.
Browse 36 Market Data Tables and 26 Figures spread through 180 Pages and in-depth TOC on “Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market”- Forecast to 2030, Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market, By Component Type [Technology (Interactive Voice Response, Optical Character Recognition, Pattern and Image Recognition, Auto Coding, Text Analytics, Speech Analytics), and Services], By Application (Drug Discovery, EHRs, Clinical Trial Analytics, Adverse Event Reporting, Others), By Deployment Mode (On-premise, Cloud), and by Region (North America, Latin America, Europe, Asia Pacific, Middle East, and Africa).
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Key Takeaways of the Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market:
- The global natural language processing (NLP) in healthcare and life sciences market is expected to exhibit a CAGR of 30.5% during the forecast period. The merger with emerging economies offers lucrative growth opportunities for players in the global natural language processing (NLP) in healthcare and life sciences market.
- Among application, the EHRs segment is expected to hold a dominant position in the global natural language processing (NLP) in healthcare and life sciences market during the forecast period. An electronic health record is a digital version of a patient’s paper chart, and EHRs are patient-centered documents that have information about the patient’s health and are accessible to healthcare professionals. Electronic health records (EHR) may contain a patient’s medical history, diagnoses, medications, allergies, radiology images, immunization dates, treatment plans, and laboratory results.
- Among region, North America is expected to be the dominant region in the global natural language processing (NLP) in healthcare and life sciences market, owing to the key players focus on product launches. For instance, in March 2019, Inference Solutions, a provider of intelligent virtual agents for sales and service, launched Studio 6.0, which integrates NLP and conversational artificial intelligence (AI) technologies from Google and IBM to help businesses eliminate complex interactive voice response (IVR) menus, and simple speech-enabled, directed dialogue systems.
- Major players operating in the global natural language processing (NLP) in healthcare and life sciences market are 3M, Cerner Corporation, IBM Corporation, Microsoft Corporation, Health Fidelity, Inc., IQVIA Holdings Inc., Dolbey Systems, Inc., Centene Corporation, Alphabet Inc., Nexocode, Averbis GmbH, Clinithink, Wave Health Technologies, Inovalon, Lexalytics, Conversica Inc., SparkCognition, and Hewlett Packard Enterprise Development LP.
