Natural Language Processing (NLP) in Healthcare and Life Sciences Market to Witness Huge Growth by Key Players: 3M, Cerner, Nuance, Health Fidelity, Dolbey, Microsoft, IBM, Google, AWS and Others.

According to Market Study Report, Natural Language Processing (NLP) in Healthcare and Life Sciences Market provides a comprehensive analysis of the Natural Language Processing (NLP) in Healthcare and Life Sciences Market segments, including their dynamics, size, growth, regulatory requirements, competitive landscape, technological trends and emerging opportunities of global industry. This report also provides market landscape and market share information in the Natural Language Processing (NLP) in Healthcare and Life Sciences Market. An exclusive data offered in this report is collected by research and industry experts team.

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The Natural Language Processing (NLP) in Healthcare and Life Sciences Market size is projected to grow from USD 1.5 Billion in 2020 to USD 3.7 Billion by 2025, at a Compound Annual Growth Rate (CAGR) of 20.5% during the forecast period. This report spread across 185 pages, profiling 16 companies and supported with 121 tables and 51 figures are now available in this research.

Top Companies Profiled in the Natural Language Processing (NLP) in Healthcare and Life Sciences Market:
o 3M (US)
o Cerner (US)
o Nuance (US)
o Health Fidelity (US)
o Dolbey (US)
o Microsoft (US)
o IBM (US)
o Google (US)
o AWS (US)
o Apixio (US)
o Averbis (Germany)
o Linguamatics (UK)
o Clinithink (Georgia)
o Wave Health Technologies (Georgia)
o Inovalon (US)
o Lexalytics (US)

"Cloud deployment mode to grow at a rapid pace during the forecast period"
Most vendors in the NLP in healthcare and life sciences market offer cloud-based NLP solutions to maximize profits and automate the equipment maintenance process, effectively. The adoption of cloud-based NLP solutions is expected to grow, owing to benefits, such as easy maintenance of generated data, cost-effectiveness, agility, flexibility, scalability, and effective management of these solutions. Companies prefer to adopt cloud-based NLP solutions, as these support their regional, cross-regional, or cross-country data recovery strategies.

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"Pattern and image recognition to grow at the highest CAGR during the forecast period"
The NLP in healthcare and life sciences market by application is segmented into six categories: Interactive Voice Response (IVR), pattern and image recognition, auto coding, classification and categorization, text and speech analytics, and others (information extraction and report generation). The computer vision and Machine Learning (ML) algorithms detect precancerous lesions using the minutest details in tissue imagery, thus increasing the sensitivity and accuracy of cancer screening tests.

"Asia Pacific to grow at the highest CAGR during the forecast period"
Asia Pacific (APAC) is expected to grow at the highest CAGR during the forecast period. Healthcare companies in the region have started deploying NLP solutions that will help them generate statistical data and make faster patient care decisions. Countries such as China, India, and Japan further focus on enhancing their management of data to enable computer-aided diagnoses and enhance rapid improvements in the performance for diagnosing and prognosis-prediction.

Breakdown of primary participants' profile:
o By Company: Tier I: 32%, Tier II: 44%, and Tier III: 24%
o By Designation: C-Level Executives: 65%, Directors: 23%, and Others: 12%
o By Region: North America: 44%, Europe: 32%, APAC: 18%, MEA: 3%, and Latin America: 3%

Competitive Landscape of Natural Language Processing (NLP) in Healthcare and Life Sciences Market:
1 Microquadrant Overview
2 Competitive Leadership Mapping
2.1 Visionary Leaders
2.2 Innovators
2.3 Dynamic Differentiators
2.4 Emerging Companies

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Reason to access this report:
The report will help the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall NLP in healthcare and life sciences market and the sub segments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and to plan suitable go-to-market strategies.

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