North America NLP in Healthcare and Life Sciences Market Size, Share, and COVID-19 Impact Analysis, By NLP Type (Rule-based, Statistical, Hybrid, and Others), By End User (NLP for Physician, NLP for Patients, NLP for Researchers, NLP for Clinical Operators, and Others), and North America NLP in Healthcare and Life Sciences Market Insights, Industry Trend, Forecasts to 2035

North America NLP in Healthcare and Life Sciences Market Insights Forecasts to 2035

• The North America NLP in Healthcare and Life Sciences Market Size Was Estimated at USD 3,102.6 Million in 2024
• The Market Size is Expected to Grow at a CAGR of around 30.93% from 2025 to 2035
• The North America NLP in Healthcare and Life Sciences Market Size is Expected to Reach USD 60,156.3 Million by 2035

According to a Research Report Published by Spherical Insights & Consulting, the North America NLP in Healthcare and Life Sciences Market is anticipated to reach USD 60,156.3 million by 2035, growing at a CAGR of 30.93% from 2025 to 2035. The primary drivers of the market are the rising adoption of AI-powered analytics, demand for precision medicine, regulatory support, and the need to manage vast amounts of unstructured healthcare data.

Market Overview

The North American NLP in healthcare and life sciences market focuses on the use of natural language processing technologies to convert unstructured medical and biomedical data (e.g., clinical notes, electronic health records, genomics information, and research articles) into meaningful insights that improve patient care, research, and operational efficiency. It covers a wide range of technologies, such as smart assistants and robots for patient contact, optical character recognition for document scanning, named entity recognition for medical word identification, and natural language generation for automated reporting. Key end users include healthcare providers who use NLP for diagnoses and workflow optimization, payers who use it for claims administration and fraud detection, and pharmaceutical and life sciences companies who use it for drug discovery, genomics, and biomedical research.

Moreover, the increasing demand for evaluating and extracting vital insights about medical history and healthcare data from descriptive language and enormous amounts of clinical data is primarily responsible for the market's growth. NLP technology helps to convert narrative data or discussions between patients and healthcare professionals into free text, which is eventually stored in electronic health record systems (EHRs). Because of the advantages of NLP, an increasing number of healthcare organizations are integrating it into their systems. The market for NLP in the healthcare and life sciences sectors is rapidly expanding as a result of rising demand from the healthcare industry. Key end users include healthcare providers who use NLP for diagnoses and workflow optimization, payers who use it for claims administration and fraud detection, and pharmaceutical and life sciences companies who use it for drug discovery, genomics, and biomedical research.

Arintra, the leading GenAI-native autonomous medical coding platform for healthcare providers, has secured a $21 million Series A round. Peak XV Partners led the investment, which included participation from Endeavor Health Ventures, Y Combinator, Counterpart Ventures, Spider Capital, Ten13, and other strategic investors. The investment will help Arintra flourish as it becomes more widely used by health systems and physician groups nationally.

Report Coverage

This research report categorises the market for the North America NLP in healthcare and life sciences market based on various segments and regions, and forecasts revenue growth and analyses trends in each submarket. The report analyses the key growth drivers, opportunities, and challenges influencing the North America NLP in healthcare and life sciences market. Recent market developments and competitive strategies, such as expansion, product launch, development, partnership, merger, and acquisition, have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key market players and analyses their core competencies in each sub-segment of the North America NLP in healthcare and life sciences market.

Driving Factors

The North American NLP in healthcare and life sciences market is being driven by several variables, contributing to the growing need to analyse massive amounts of unstructured medical data, such as clinical notes and genomic information, the rising demand for predictive analytics to improve diagnosis and treatment outcomes, and the adoption of AI-driven tools that improve patient engagement through chatbots and smart assistants. NLP also helps to improve clinical decision support, streamline workflows, and reduce administrative hassles for providers and consumers, raising the demand in the market. While integrating NLP with EHR can transform billions of unstructured data points into structured data, hence boosting the diagnostic and prognostic models. NLP models extract and analyze patient information from clinical narratives in an accurate and efficient manner. Favorable government policies in the nation promote digitization and compliance, while breakthroughs in precision medicine and genomics research broaden the variety of NLP applications, cementing North America's position as the market leader.

Restraining Factors

The North American NLP in healthcare and life sciences market faces key restraints such as data privacy concerns, high implementation costs, integration challenges with legacy systems, shortage of skilled professionals, regulatory & compliance barriers, and risks of bias in AI models.

Market segmentation

The North America NLP in healthcare and life sciences market share is classified into NLP type and end user.

• The hybrid segment held a substantial share in 2024 and is anticipated to grow at a remarkable CAGR during the forecast period.

The North America NLP in healthcare and life sciences market is divided by NLP type into rule-based, statistical, hybrid, and others. Among these, the hybrid segment held a substantial share in 2024 and is anticipated to grow at a remarkable CAGR during the forecast period. The segment is driven by combining rule-based methodologies with statistical and machine learning techniques to increase accuracy and adaptability. Its ability to combine language principles with modern algorithms makes it especially useful for complicated healthcare applications like medical coding, clinical decision support, and genomics research, resulting in widespread acceptance throughout the industry.

• The NLP for physicians segment dominated the market in 2024 and is anticipated to grow at a substantial CAGR over the forecast period.

The North America NLP in healthcare and life sciences market is segmented by end user into NLP for physicians, NLP for patients, NLP for researchers, NLP for clinical operators, and others. Among these, the NLP for physician segment dominated the market in 2024 and is anticipated to grow at a substantial CAGR over the forecast period. This is the leading segment driven by generating and depending on large amounts of unstructured data derived from clinical notes, diagnostic findings, and patient histories through doctors. They can use NLP to efficiently extract valuable insights, improve diagnostic precision, and boost evidence-based decision-making. This domination stems from technology's direct impact on improving patient outcomes while also reducing the documentation burden and effort for physicians.

Competitive Analysis:

The report offers the appropriate analysis of the key organisations/companies involved within North America NLP in healthcare and life sciences market, along with a comparative evaluation primarily based on their product offering, business overviews, geographic presence, enterprise strategies, segment market share, and SWOT analysis. The report also provides an elaborative analysis focusing on the current news and developments of the companies, which includes product development, innovations, joint ventures, partnerships, mergers & acquisitions, strategic alliances, and others. This allows for the evaluation of the overall competition within the market.

List of Key Companies

Microsoft

Google (Alphabet)

IBM

Amazon Web Services (AWS)

IQVIA

Philips Healthcare

Humana

Linguamatics (an IQVIA company)

Others

Recent Developments:

• In March 2025, Microsoft Dragon Copilot was launched as a voice AI assistant that integrates Dragon Medical One and DAX Copilot. It enhances clinical documentation, automates tasks, and reduces clinician burnout by providing real-time, voice-enabled NLP solutions within EHR workflows. Microsoft also works with major U.S. EHR providers to integrate multimodal NLP.

• In November 2024, Google Cloud partnered with DeliverHealth to improve AI-powered clinical documentation using Gemini 1.5 Pro models. In December 2025, Google Cloud introduced its Med-PaLM 3 model, integrating advanced NLP for real-time clinical decision support in U.S. hospitals and for pharmaceutical R&D.

Key Target Audience

• Market Players
• Investors
• End-users
• Government Authorities 
• Consulting and Research Firm
• Venture capitalists
• Value-Added Resellers (VARs)

Market Segment

This study forecasts revenue at North America, regional, and country levels from 2020 to 2035. Spherical Insights has segmented the North America NLP in healthcare and life sciences market based on the below-mentioned segments:

North America NLP In Healthcare and Life Sciences Market, By NLP Type

• Rule-Based
• Statistical
• Hybrid
• Others

North America NLP In Healthcare and Life Sciences Market, By End User

• NLP For Physicians
• NLP For Patients
• NLP For Researchers
• NLP For Clinical Operators
• Others