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Natural Language Processing (NLP) In Healthcare And Life Sciences Market is expected to generate a revenue of USD 9.57 Billion by 2031, Globally, at 19.82% CAGR: Verified Market Research®

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Verified Market Research® a leading provider of business intelligence and market analysis is thrilled to announce the release of its comprehensive and authoritative report on the, “Natural Language Processing (NLP) In Healthcare And Life Sciences Market Size and Forecast,” This in-depth study offers industry leaders, innovators, and decision-makers an exclusive opportunity to gain critical insights into the transformative potential of NLP technologies within the healthcare and life sciences sectors.

LEWES, Del., Dec. 13, 2024 /PRNewswire/ — The Global Natural Language Processing (NLP) In Healthcare And Life Sciences Market Size is projected to grow at a CAGR of 19.82% from 2024 to 2031, according to a new report published by Verified Market Research®. The report reveals that the market was valued at USD 2.25 Billion in 2024 and is expected to reach USD 9.57 Billion by the end of the forecast period.

The healthcare and life sciences industries are undergoing a paradigm shift fueled by technological advancements. Natural Language Processing (NLP), a cornerstone of artificial intelligence, is playing a pivotal role in revolutionizing patient care, drug discovery, and administrative processes. The new report explores how NLP is enabling efficient clinical documentation, enhancing patient engagement, optimizing clinical trials, and advancing precision medicine.

Key Insights of the Report Include:

Market Overview: Analysis of current market trends, growth drivers, and challenges shaping the adoption of NLP in healthcare and life sciences.Emerging Technologies: Insights into advancements in deep learning, machine learning, and conversational AI for medical applications.Key Applications: Examination of NLP’s impact on clinical data management, disease diagnosis, drug development, and health record analysis.Competitive Landscape: Profiles of industry leaders, emerging players, and key innovators reshaping the market dynamics.Strategic Insights: Actionable recommendations to capitalize on opportunities, mitigate risks, and drive business growth.

Who Should Leverage This Report?

This report is an indispensable tool for:

Healthcare Providers: Improve operational efficiency and patient outcomes with cutting-edge NLP tools.Life Sciences Companies: Accelerate R&D efforts and streamline drug discovery processes.Technology Innovators: Gain a competitive edge by understanding market needs and trends.Investors: Identify high-growth opportunities and emerging market leaders.

Stay ahead of the curve in the ever-evolving Natural Language Processing (NLP) In Healthcare And Life Sciences Market. For more information or to request a sample copy of the report, please visit: https://www.verifiedmarketresearch.com/download-sample?rid=24681

Browse in-depth TOC on “Global Natural Language Processing (NLP) In Healthcare And Life Sciences Market Size

202 – Pages
126 – Tables
37 – Figures

Report Scope

REPORT ATTRIBUTES

DETAILS

STUDY PERIOD

2021-2031

BASE YEAR

2024

FORECAST PERIOD

2024-2031

HISTORICAL PERIOD

2021-2023

UNIT

Value (USD Billion)

KEY COMPANIES PROFILED

The Lubrizol Corporation, BASF SE, Evonik Industries AG, Clariant Corporation, SABIC, SEPPIC, The Dow Chemical Company, Solvay, Huntsman International LLC, Stepan Company, Sasol Ltd, India Glycols Ltd, Ineos Group Ltd.

SEGMENTS COVERED

Component, NLP Types, Application, End-User, and Geography.

CUSTOMIZATION SCOPE

Free report customization (equivalent up to 4 analyst’s working days) with purchase. Addition or alteration to country, regional & segment scope.

Global Natural Language Processing (NLP) In Healthcare And Life Sciences Market Overview

Advancements in AI and Machine Learning: Rapid breakthroughs in AI and machine learning technologies are driving the Natural Language Processing (NLP) in Healthcare and Life Sciences market. These advancements improve NLP algorithms, allowing for more reliable data extraction and interpretation from unstructured medical information. The end result is better diagnostic efficiency and patient care, which accelerates market growth. Stakeholders that invest in cutting-edge AI will gain major competitive advantages in this transformational industry.

Growing Adoption of EHR Systems: The increase in Electronic Health Record (EHR) use is a key driver of Natural Language Processing (NLP) in the Healthcare and Life Sciences Market. NLP tools are critical for evaluating EHR data to uncover meaningful insights, streamline documentation, and improve physician processes. As regulatory mandates stimulate digitization, the demand for advanced NLP solutions will expand, providing firms with a profitable growth opportunity to address shifting market needs.

Rising Focus on Personalized Medicine: The growing emphasis on individualized medicine is driving demand for Natural Language Processing (NLP) in the Healthcare and Life Sciences markets. NLP offers more precise analysis of genomic data, patient histories, and research findings, allowing medicines to be tailored to individual patients. Companies that use NLP for individualized care can capitalize on this expanding trend, ensuring their place in a market poised for sustainable growth.

To Purchase a Comprehensive Report Analysis: https://www.verifiedmarketresearch.com/select-licence?rid=24681

High Implementation Costs: Despite its disruptive potential, Natural Language Processing (NLP) in the Healthcare and Life Sciences Market faces significant implementation costs. Implementing NLP solutions necessitates significant investment in infrastructure, training, and integration with existing systems. This financial barrier may inhibit small- and medium-sized businesses, potentially impeding market adoption. However, cost-effective solutions provide a growth opportunity for agile industry participants.

Data Privacy and Security Concerns: Natural Language Processing (NLP) in the Healthcare and Life Sciences Market is limited by severe data privacy requirements such as HIPAA and GDPR. Ensuring compliance while using patient data for NLP applications can be difficult and resource-intensive. Businesses that address these concerns with powerful, safe, and compliant NLP tools can differentiate themselves, acquire trust, and drive growth in the face of these hurdles.

Limited NLP Proficiency in Healthcare: A lack of specialist understanding in NLP across healthcare organizations limits the market’s growth. Understanding, implementing, and administering NLP systems can be complex, delaying adoption. Companies that provide user-friendly, training-inclusive solutions can reduce this barrier, extending the Natural Language Processing (NLP) in Healthcare and Life Sciences Market and empowering healthcare professionals to use this game-changing technology.

Geographical Dominance

North America leads the Natural Language Processing (NLP) in Healthcare and Life Sciences Market due to advanced healthcare infrastructure, significant R&D spending, and early adoption of AI technology. This leadership promotes innovation and establishes industry standards, hence speeding global market growth. Meanwhile, Asia-Pacific, with its expanding healthcare IT usage and enormous patient population, is emerging as a high-growth sector, providing competitive prospects for global firms.

Key Players

The “Global Natural Language Processing (NLP) In Healthcare And Life Sciences Market” study report will provide a valuable insight with an emphasis on the global market.  The major players in the market are The Lubrizol Corporation, BASF SE, Evonik Industries AG, Clariant Corporation, SABIC, SEPPIC, The Dow Chemical Company, Solvay, Huntsman International LLC, Stepan Company, Sasol Ltd, India Glycols Ltd, Ineos Group Ltd.

Natural Language Processing (NLP) In Healthcare And Life Sciences Market Segment Analysis

Based on the research, Verified Market Research has segmented the market into Component, NLP Types, Application, End-User and Geography.

Natural Language Processing (NLP) In Healthcare And Life Sciences Market, by ComponentSolutionServicesNatural Language Processing (NLP) In Healthcare And Life Sciences Market, by NLP TypesRule-based natural language processingStatistical natural language processingHybrid natural language processingNatural Language Processing (NLP) In Healthcare And Life Sciences Market, by ApplicationInteractive Voice Response (IVR)Pattern & Image RecognitionAuto CodingClassification & CategorizationText & Speech AnalyticsNatural Language Processing (NLP) In Healthcare And Life Sciences Market, by End-UserPhysiciansResearchersPatientsClinical OperatorsNatural Language Processing (NLP) In Healthcare And Life Sciences Market, by GeographyNorth AmericaU.SCanadaMexicoEuropeGermanyFranceU.KRest of EuropeAsia PacificChinaJapanIndiaRest of Asia PacificROWMiddle East & AfricaLatin America

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Visualize Natural Language Processing (NLP) In Healthcare And Life Sciences Market using Verified Market Intelligence -:

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With a team of 500+ Analysts and subject matter experts, VMR leverages internationally recognized research methodologies for data collection and analyses, covering over 15,000 high impact and niche markets. This robust team ensures data integrity and offers insights that are both informative and actionable, tailored to the strategic needs of businesses across various industries.

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Mastech Digital to Announce Second Quarter 2026 Financial Results; Participate in Upcoming Investor Conference

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PITTSBURGH, July 24, 2026 /PRNewswire/ — Mastech Digital, Inc. (NYSE American: MHH) (“Mastech Digital”), a leading provider of Digital Transformation IT Services, today announced the date for the release of its financial results for the second quarter ended June 30, 2026, and its participation in an upcoming investor conference.

Second Quarter 2026 Earnings:

Mastech Digital will report its financial results for the second quarter 2026 before the market opens on Thursday, August 6, 2026. Management will host a live conference call and webcast at 9:00 a.m. Eastern Time on that day to discuss the Company’s financial performance and operating results.  The conference call will be hosted by Nirav Patel, President and CEO, and Kannan Sugantharaman, Chief Financial and Operations Officer.

Those wishing to participate via webcast should access the call through Mastech Digital’s Investor Relations website at https://investors.mastechdigital.com. Those wishing to participate via telephone may dial in at 1-800-715-9871 (USA) or 1-646-307-1963 (International) with the passcode 7506988. The replay will be available via webcast through Mastech Digital’s Investor Relations website.

Upcoming Investor Conference:

Mr. Sugantharaman will host a fireside chat at the Sidoti Micro-Cap Investor Conference on Wednesday, August 19, 2026, at 9:15 a.m. Eastern Time.

Mastech Digital management is scheduled to host virtual one-on-one and small group meetings with investors during the conference on August 19-20, 2026. Investors interested in arranging a meeting should contact their Sidoti representative or reach out to the Mastech Digital investor relations team at investors@mastechdigital.com.

About Mastech Digital, Inc.

Mastech Digital (NYSE American: MHH) is a leading provider of Digital Transformation IT Services. The Company offers Data Management, Analytics & AI Solutions, and IT Staffing Services with a digital-first approach. A minority-owned enterprise, Mastech Digital is headquartered in Pittsburgh, PA, with offices across the U.S., Canada, Europe, and India. Visit us at www.mastechdigital.com.

Investor Relations Contact:
investors@mastechdigital.com 

 

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SOLAI Limited Announces Extraordinary General Meeting

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AKRON, Ohio, July 24, 2026 /PRNewswire/ — SOLAI Limited (NYSE: SLAI) (“SOLAI” or the “Company”) (previously known as “BIT Mining Limited”), a technology-driven personal AI and digital infrastructure provider, today announced that it will hold its extraordinary general meeting of shareholders at 428 South Seiberling Street, Akron, Ohio, US on August 14, 2026 at 10:00 a.m., New York time.

Holders of record of ordinary shares and preference shares of the Company at the close of business on July 20, 2026, New York time (the “Record Date”) are entitled to receive notice of, and to attend and vote at, the extraordinary general meeting or any adjournment thereof. Holders of the Company’s American Depositary Shares (“ADSs”) who wish to exercise their voting rights for the underlying ordinary shares must act through the depositary of the Company’s ADS program, Deutsche Bank Trust Company Americas.

The notice of the extraordinary general meeting, which sets forth the resolutions to be submitted to shareholder approval at the extraordinary general meeting is available on the Investor Relations section of the Company’s website at https://ir.solai.com

About SOLAI Limited

SOLAI Limited (previously known as “BIT Mining Limited”) (NYSE: SLAI) (previously traded under “BTCM”) is a technology-driven personal AI and digital infrastructure provider. Building upon its historical legacy in digital asset mining and blockchain network operations, the Company is leveraging extensive experience in large-scale hardware deployment, data center operations, and high-performance computing to build the foundational infrastructure for personal AI computing and digital asset ecosystems globally.

For more information:

SOLAI Limited
ir@solai.com
ir.solai.com
www.solai.com 

Christensen Advisory
Jason Ng
Tel: +852-2117-0861
Email: solai@christensencomms.com 

 

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/U P D A T E — TrendAI/

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This release has been updated to include new information provided by TrendAI. The complete, corrected release follows, with additional details at the end:

TrendAI™ Adopts Claude Opus 5 to Advance Vulnerability Prioritization and Virtual Patching

As a participant in Anthropic’s Cyber Verification Program, TrendAI applies frontier reasoning to convert vulnerability intelligence into faster protection across hybrid environments

DALLAS, July 24, 2026 /PRNewswire/ — TrendAI™, the enterprise AI security leader from Trend Micro Incorporated (TYO: 4704; TSE: 4704), today announced it is adopting Claude Opus 5, Anthropic’s latest and most capable Opus model, to help security teams convert vulnerability intelligence into immediate protection, from prioritization to virtual patching. The move builds on TrendAI’s collaboration with Anthropic on Claude Opus 4.8, extending the same defensive focus to a model that delivers step-change gains in advanced reasoning, agentic workflows, and long-horizon analysis. As AI makes finding vulnerabilities easier than ever, the harder problem becomes protecting organizations faster than software can be permanently patched, and that is where TrendAI is putting Opus 5 to work.

As a participant in Anthropic’s Cyber Verification Program, which credentials organizations for the defensive use of frontier AI models, TrendAI is positioned to apply Claude Opus 5 to defensive security as access becomes available. The model is Zero Data Retention compatible, supporting TrendAI’s governance and data-protection requirements as it scales AI across security operations.

The work extends to TrendAI Threat Research, where frontier AI models are combined with our proprietary frontier intelligence engine and human expertise to generate pre-disclosure intelligence. Those insights power TrendAI Vision One™, delivering stronger detection, deeper forensic insights, and proactive protection through virtual patching.

Rachel Jin, Chief Platform and Business Officer, Head of TrendAI™:
“With Claude Opus 5, TrendAI can move from vulnerability intelligence to action faster than ever, prioritizing what matters most by exploitability and business impact. Finding the vulnerability was always the hard part. Now the challenge is protecting organizations faster than software can be permanently patched, and frontier reasoning is what changes that equation, extending all the way to virtual patching that protects customers before a vendor fix ships. This is what it means to secure the AI age, fearlessly.”

These capabilities support TrendAI Vision One™ in helping security analysts, AppSec teams, and SOC teams prioritize exposure, map attack paths, and accelerate mitigation, including virtual patching, across hybrid environments, moving vulnerability management from a static scanning process into a faster, context-aware risk mitigation workflow.

About TrendAI™
TrendAI™, the global AI security leader and enterprise business unit of Trend Micro, empowers organizations with full AI visibility and consolidated security that inspires confidence, drives innovation, and eliminates risk. Trusted by the largest enterprises and governments across 185 countries, TrendAI™ secures the entire organization, from identities, to infrastructure, to data. Global Fortune 500 companies rely on TrendAI™ to cut risk and stop threats up to three months earlier, powered by world-leading threat and attack intelligence. Through deep ecosystem partnerships with market leaders like NVIDIA, Anthropic, AWS, Google, and Microsoft, TrendAI™ empowers your organization to securely drive forward at the speed of AI. AI Fearlessly. Learn more: trendaisecurity.com

About Anthropic
Anthropic is an AI safety and research company dedicated to building reliable, interpretable, and steerable AI systems. Its Claude family of models, including Claude Opus 5, enables advanced capabilities across a wide range of applications, including code understanding and security analysis.

Update: The latest version of this release includes additional statements from TrendAI related to the original announcement.

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