Healthcare Natural Language Processing Market Poised to Surge to US$ 18.5 Billion by 2033, Fueled by Impressive 18.0% CAGR

Healthcare Natural Language Processing Market

Healthcare Natural Language Processing Market is anticipated to culminate at approximately US$ 3.5 Billion by the culmination of 2023, the worldwide market is poised for a compelling trajectory, exhibiting a robust CAGR of 18.0% that is set to propel its valuation to around US$ 18.5 Billion by 2033. Illuminated through an in-depth analysis conducted by Future Market Insights, the sphere of text and voice processing technologies emerges as the market vanguard, poised to command a substantial share of approximately 34.7% within the global landscape throughout the year 2023.

One of the key drivers and investors in the natural language processing business is large corporations. The usage of natural language is projected to expand as these firms adopt deep learning, as well as supervised and unsupervised machine learning technologies for various applications. Large enterprises are adopting these technologies for a variety of reasons, including cost and risk.

The majority of large end-user firms in a variety of industries are primarily using these language processing technologies to improve their internal and external operations. Furthermore, because the return on investment in technology is not necessarily monetary, most small businesses consider it a dangerous investment.

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A list of Key Players Covered in the Healthcare Natural Language Processing Market Are:

  • Apple Inc
  • NLP Technologies
  • NEC Corporation
  • Microsoft Corporation
  • IBM Corporation

Customers’ demand for better healthcare services is likely to positively impact the healthcare natural language processing market adoption trends. The top companies in the global natural language processing in healthcare and life sciences business are concentrating their efforts on increasing the integration of digital innovations in the healthcare sector. 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.

As per the healthcare natural language processing market study by Future Market Insights, because key players are focused on research and development in natural language processing platforms used in the healthcare industry, the global natural language processing (NLP) in the healthcare and life sciences market is predicted to rise significantly.

Regulatory barriers to the language processing deployment and high training costs for NLP models are two main problems limiting the healthcare natural language processing market share’s growth.

The Health Insurance Portability and Accountability Act Rules of India state that healthcare data security is the most important element in the healthcare and life sciences industry, citing an increase in cyber-attacks on healthcare organisations and cybercriminals developing increasingly sophisticated tools and methods to attack healthcare natural language processing organisations.

Key Takeaways

  • The rising demand for predictive analytics technology to reduce risks and improve substantial medical issues, increasing demands for improving EHR data usability to improve healthcare delivery and outcomes, and an increasing need to analyse and extract insights from narrative text and huge amounts of clinical data are all driving the demand of healthcare natural language processing.
  • The US healthcare natural language processing market size is expected to reach US$ 3 Bn by 2032.
  • The information extraction segment is expected to grow at a modest CAGR of 17.3% throughout the forecast period.
  • During the forecast period, the hybrid cloud category is predicted to develop at the quickest rate in the natural language processing market.
  • The healthcare natural language processing market share is valued at US$ 3.1 Bn in 2022, and it is expected to reach US$ 14.6 Bn by 2032.

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Competitive Landscape

The healthcare natural language processing market is fiercely competitive, with several significant competitors vying for more market share. These market leaders have been concentrating on growing their customer bases in international nations, as well as creating new inventive solutions, as well as pursuing agreements and mergers to enhance their market share and profitability.

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.

Key Players

  • Apple Inc
  • NLP Technologies
  • NEC Corporation
  • Microsoft Corporation
  • IBM Corporation

Key Segments

By Technology:

  • Machine Translation
  • Information Extraction
  • Automatic Summarization
  • Text and Voice Processing

By Region:

  • North America
  • Europe
  • Asia Pacific
  • Middle East & Africa
  • South America

About Future Market Insights (FMI)

Future Market Insights, Inc. (ESOMAR certified, Stevie Award – recipient market research organization and a member of Greater New York Chamber of Commerce) provides in-depth insights into governing factors elevating the demand in the market. It discloses opportunities that will favor the market growth in various segments on the basis of Source, Application, Sales Channel and End Use over the next 10-years.

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About the Author

Nikhil Kaitwade

Associate Vice President at Future Market Insights, Inc. has over a decade of experience in market research and business consulting. He has successfully delivered 1500+ client assignments, predominantly in Automotive, Chemicals, Industrial Equipment, Oil & Gas, and Service industries.
His core competency circles around developing research methodology, creating a unique analysis framework, statistical data models for pricing analysis, competition mapping, and market feasibility analysis. His expertise also extends wide and beyond analysis, advising clients on identifying growth potential in established and niche market segments, investment/divestment decisions, and market entry decision-making.
Nikhil holds an MBA degree in Marketing and IT and a Graduate in Mechanical Engineering. Nikhil has authored several publications and quoted in journals like EMS Now, EPR Magazine, and EE Times.

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