세계의 헬스케어 및 생명과학 분야 자연언어처리(NLP) 시장(2025-2033년)

Global Natural Language Processing (NLP) in Healthcare & Lifesciences Market - 2025-2033

US $ 4,350 ￦ 6,142,000

PDF & Excel (Single User License)

PDF 보고서를 1명만 이용할 수 있는 라이선스입니다. 인쇄 가능하며 인쇄물의 이용 범위는 PDF 이용 범위와 동일합니다.

US $ 4,850 ￦ 6,848,000

PDF & Excel (Multiple User License)

PDF 보고서를 동일 사업장에서 7명까지 이용할 수 있는 라이선스입니다. 인쇄 가능하며 인쇄물의 이용 범위는 PDF 이용 범위와 동일합니다.

US $ 7,850 ￦ 11,084,000

PDF & Excel (Enterprise License)

PDF 보고서를 동일 기업의 모든 분이 이용할 수 있는 라이선스입니다. 인쇄 가능하며 인쇄물의 이용 범위는 PDF 이용 범위와 동일합니다.

한글목차

세계의 헬스케어 및 생명과학 분야 자연언어처리(NLP) 시장은 2024년에 50억 7,000만 달러로 평가되었고, 2033년까지는 809억 6,000만 달러에 달할 것으로 예측되며, 예측기간 중 2025년부터 2033년까지 CAGR은 35.7%로 성장했할 전망입니다.

자연언어처리(NLP)는 대규모 환자 데이터 세트를 분석할 수 있기 때문에 헬스케어에서 인기를 얻고 있습니다. 고급 의료 알고리즘과 머신러닝을 활용함으로써 NLP는 지금까지 텍스트 데이터에 숨겨져 있던 귀중한 인사이트를 임상 기록에서 끌어낼 수 있습니다. 이 조직 크기는 비정형 데이터를 정확하게 표현할 수 있으며, 품질에 대한 귀중한 인사이트를 제공하고, 방법을 개선하며, 환자 결과를 향상시킵니다.

시장 역학 :

촉진요인 및 억제요인

인공지능 및 자연언어처리의 통합

인공지능(AI) 및 자연언어처리(NLP)의 통합은 세계 NLP 시장에 혁명을 일으켜 혁신을 가능하게 하며 업계 전반에 걸쳐 널리 채택되고 있습니다. 생성형 AI 모델과 같은 AI를 탑재한 NLP 기술은 정확한 감정 분석, 실시간 기계 번역, 대화 AI, 음성 인식을 가능하게 합니다. 의료, 은행 및 금융서비스와 보험(BFSI), 소매 등의 업계에서는 의료 기록, 환자 데이터 분석 및 고객 경험에 AI를 사용합니다.

예를 들어, 2024년 10월, 클라우드 기반 소프트웨어 제공업체인 Inovalon은 건강 관리의 위험 조정 프로세스를 간소화하기 위해 설계된 SaaS 솔루션인 AI를 갖춘 Converged Record Review를 발표했습니다. 이 솔루션은 임상 문서 가치가 있는 의료 기록과 없는 의료 기록의 식별을 자동화하여 수동 검토를 최대 50%까지 줄입니다. 이를 통해 유효한 진단 문서가 있는 기록에 리소스를 돌려보낼 수 있어 정확성과 효율성이 향상되고 낭비되는 시간이 줄어들고 위험 조정 프로그램과 관련된 비용이 절감됩니다.

데이터 프라이버시 및 보안에 대한 관심 증가

세계의 자연언어처리(NLP) 시장은 데이터의 프라이버시와 보안에 대한 우려로 어려움을 겪고 있습니다. NLP 애플리케이션은 기밀 데이터에 대한 액세스를 필요로 하는 경우가 많으며, GDPR(EU 개인정보보호규정) 및 CCPA와 같은 엄격한 규제가 위험합니다. 암호화, 익명화 및 컴플라이언스에 대한 투자는 비용 증가와 도입 프로세스의 복잡성을 초래하여 NLP 기술을 전면적으로 채택하려는 산업의 의지를 제한하고 시장 성장을 억제할 수 있습니다.

목차

제1장 조사 방법 및 조사 범위

제2장 정의 및 개요

제3장 주요 요약

제4장 시장 역학

• 영향요인
  • 성장 촉진요인
    • 인공지능 및 자연언어처리의 통합
  • 성장 억제요인
    • 데이터의 프라이버시 및 보안에 대한 우려 증가
  • 기회
  • 영향 분석

제5장 산업 분석

• Porter's Five Forces 분석
• 공급망 분석
• 가격 분석
• 규제 분석

제6장 컴포넌트별

• 서비스
• 솔루션

제7장 전개 모드별

• 온프레미스
• 클라우드

제8장 조직 규모별

• 중소기업
• 대기업

제9장 용도별

• 감정 분석
• 기계 번역
• 정보 추출
• 질문에 대한 답변
• 텍스트 요약
• 음성인식
• 기타

제10장 지역별

• 북미
  • 미국
  • 캐나다
  • 멕시코
• 유럽
  • 독일
  • 영국
  • 프랑스
  • 스페인
  • 이탈리아
  • 기타 유럽
• 남미
  • 브라질
  • 아르헨티나
  • 기타 남미
• 아시아태평양
  • 중국
  • 인도
  • 일본
  • 한국
  • 기타 아시아태평양
• 중동 및 아프리카

제11장 경쟁 구도

• 경쟁 시나리오
• 시황 및 점유율 분석
• M&A 분석

제12장 기업 프로파일

• Microsoft Corporation
  • 기업 개요
  • 제품 포트폴리오
    • 제품 설명
    • 제품의 주요 실적 평가 지표(KPI)
    • 과거 및 예측의 제품 판매
    • 제품 판매량
  • 재무 개요
    • 회사 수익
    • 지역별 수익분배
    • 수익 예측
  • 주요 발전
    • 합병 및 인수
    • 주요 제품 개발 활동
    • 규제 당국의 승인 등
  • SWOT 분석
• Google LLC
• IBM Corporation
• Amazon Web Services(AWS)
• SAS Institute Inc.
• Meta Platforms, Inc.
• OpenAI
• Baidu, Inc.
• SAP SE
• Oracle Corporation
• Hugging Face
  • 파이프라인 제품 설명
  • 제품의 주요 실적 평가 지표(KPI)
  • 주요 활동
  • 시장 진입 타임라인
  • 제품 보급률
  • 매출 예측 및 예측
• Anthropic
• Cohere
• Gong.io
• 각 시장 진출 기업에 대해서도 유사한 데이터가 제공됩니다.

제13장 부록

AJY

영문 목차

영문목차

The Global Natural Language Processing (NLP) in Healthcare & Lifesciences Market reached US$ 5.07 billion in 2024 and is expected to reach US$ 80.96 billion by 2033, growing at a CAGR of 35.7% during the forecast period 2025-2033.

Natural language processing (NLP) is gaining popularity in healthcare due to its ability to analyze large patient datasets. Utilizing advanced medical algorithms and machine learning, NLP can extract valuable insights from clinical notes, previously hidden in text data. This Organization Size can accurately represent unstructured data, providing valuable insights into quality, improving methods, and enhancing patient outcomes.

Market Dynamics: Drivers & Restraints

Integration of Artificial Intelligence with Natural Language Processing

The integration of Artificial Intelligence (AI) with Natural Language Processing (NLP) is revolutionizing the Global NLP Market, enabling innovation and widespread adoption across industries. AI-powered NLP technologies, like generative AI models, enable precise sentiment analysis, real-time machine translation, conversational AI, and speech recognition. Industries like healthcare, BFSI, and retail use AI for medical transcription, patient data analysis, and customer experiences.

For instance, in October 2024, Inovalon, a cloud-based software provider, has launched its AI-powered Converged Record Review, a SaaS solution designed to streamline the risk adjustment process in healthcare. The solution automates the identification of medical records with and without clinical documentation value, reducing manual reviews by up to 50%. This helps direct resources towards records with valid diagnosis documentation, boosting accuracy and efficiency, reducing wasted time, and lowering costs associated with risk adjustment programs.

Growing Concern over Data Privacy and Security

The Global Natural Language Processing (NLP) Market faces challenges due to data privacy and security concerns. NLP applications often require access to sensitive data, and strict regulations like GDPR and CCPA pose risks. Investments in encryption, anonymization, and compliance can increase costs and complicate deployment processes, limiting industries' willingness to fully embrace NLP technologies and restraining market growth.

Segment Analysis

The global Natural Language Processing (NLP) in Healthcare & Lifesciences Market is segmented based on Component, Deployment Mode, Organization Size, Application and Region.

Component:

Services segment is expected to dominate the Natural Language Processing (NLP) in Healthcare & Lifesciences market share

The services segment holds a major portion of the Natural Language Processing (NLP) in Healthcare & Lifesciences market share and is expected to continue to hold a significant portion of the Natural Language Processing (NLP) in Healthcare & Lifesciences market share during the forecast period.

The Global Natural Language Processing (NLP) Market is driven by advanced technologies like text analytics, speech analytics, machine translation, chatbots, and IVR systems. These tools help businesses extract insights from unstructured data, automate repetitive tasks, and enhance customer interactions. Chatbots and virtual assistants are used in customer service for personalized responses. NLP solutions also help analyze sentiments, monitor brand reputation, and improve decision-making processes. As businesses prioritize digital transformation, demand for scalable and industry-specific NLP solutions is increasing, positioning them as a cornerstone of market growth. designed to protect their fragile lungs and is part of their specialist neonatal ventilator range.

For instance, in March 2024, Quickblox, an AI-powered communication platform provider, has launched an OpenAI-approved HIPAA-compliant chatbot to improve healthcare communication. The chatbot, part of OpenAI's Business Associate Agreement, aims to provide secure communication between patients and healthcare professionals. Quickblox's SDKs, APIs, and teleconsultation app can help hospitals create HIPAA-compliant telehealth platforms, reduce wait times, and offer more flexibility in virtual healthcare.

Geographical Analysis

North America is expected to hold a significant position in the Natural Language Processing (NLP) in Healthcare & Lifesciences market share

North America holds a substantial position in the Natural Language Processing (NLP) in Healthcare & Lifesciences market and is expected to hold most of the market share due to advanced technological infrastructure and tech leaders like Microsoft, Google, Amazon, and IBM. These companies invest heavily in AI and NLP research, leading to the development of advanced solutions like generative AI models and language processing systems. The region's focus on customer engagement, particularly in BFSI, healthcare, and retail, fuels the adoption of chatbots, virtual assistants, and sentiment analysis tools. Government support and a tech-savvy population further solidify its market leadership.

For instance, in June 2023, Apixio, a healthcare-focused AI firm, has merged with ClaimLogiq, a technology company focusing on pre-payment claim accuracy for health plans. The merger will create a prominent data and analytics firm in the sector, using a sophisticated AI platform to enhance reimbursement precision, reduce care costs, and improve patient experiences.

Europe is growing at the fastest pace in the Natural Language Processing (NLP) in Healthcare & Lifesciences market

Europe holds the fastest pace in the Natural Language Processing (NLP) in Healthcare & Lifesciences market and is expected to hold most of the market share due to its emphasis on data privacy and multilingual capabilities. The GDPR regulations have increased demand for secure NLP solutions, especially in sensitive industries like healthcare and finance. The diverse linguistic landscape in Europe drives innovation in machine translation and localization solutions. European governments and organizations are investing in AI initiatives and R&D to strengthen their technological capabilities. The region's focus on automation and conversational AI further expands NLP applications in Europe.

For instance, in January 2025, Dictate.IT, part of Clanwilliam, has introduced an AI-powered clinical assistant to its clinical documentation software. The assistant automatically transcribes doctor-patient conversations, creating consultation summaries, clinical notes, and documentation from the transcript. This reduces administrative burden and allows clinicians to focus on patient care, saving time for healthcare professionals.

Competitive Landscape

The major global players in the Natural Language Processing (NLP) in Healthcare & Lifesciences market include Microsoft Corporation, Google LLC, IBM Corporation,Amazon Web Services (AWS), SAS Institute Inc, Meta Platforms, Inc., OpenAI, Baidu, Inc., SAP SE, Oracle Corporation and among others.

Key Developments

• In October 2024, Clarify Health has launched the Clarify Performance IQ Suite, the world's first AI-enabled application that assesses cost, quality, and utilization, providing opportunity analytics. The suite uses advanced machine learning and natural language processing to help health plans manage costs, improve care quality, and gain a competitive edge.
• In September 2024, HealthPlix Technologies, India's largest AI-powered EMR software provider, has launched H.A.L.O, a solution that transforms doctor-patient interactions into digital prescriptions. This first-of-its-kind technology allows doctors to generate prescriptions without typing or writing. H.A.L.O currently supports English and Hindi, with plans to add five more languages within six months.

Why Purchase the Report?

• Pipeline & Innovations: Reviews ongoing clinical trials, product pipelines, and forecasts upcoming advancements in medical devices and pharmaceuticals.
• Product Performance & Market Positioning: Analyzes product performance, market positioning, and growth potential to optimize strategies.
• Real-World Evidence: Integrates patient feedback and data into product development for improved outcomes.
• Physician Preferences & Health System Impact: Examines healthcare provider behaviors and the impact of health system mergers on adoption strategies.
• Market Updates & Industry Changes: Covers recent regulatory changes, new policies, and emerging technologies.
• Competitive Strategies: Analyzes competitor strategies, market share, and emerging players.
• Pricing & Market Access: Reviews pricing models, reimbursement trends, and market access strategies.
• Market Entry & Expansion: Identifies optimal strategies for entering new markets and partnerships.
• Regional Growth & Investment: Highlights high-growth regions and investment opportunities.
• Supply Chain Optimization: Assesses supply chain risks and distribution strategies for efficient product delivery.
• Sustainability & Regulatory Impact: Focuses on eco-friendly practices and evolving regulations in healthcare.
• Post-market Surveillance: Uses post-market data to enhance product safety and access.
• Pharmacoeconomics & Value-Based Pricing: Analyzes the shift to value-based pricing and data-driven decision-making in R&D.

The global Natural Language Processing (NLP) in Healthcare & Lifesciences market report delivers a detailed analysis with 78 key tables, more than 72 visually impactful figures, and 205 pages of expert insights, providing a complete view of the market landscape.

Target Audience 2024

• Manufacturers: Pharmaceutical, Medical Device, Biotech Companies, Contract Manufacturers, Distributors, Hospitals.
• Regulatory & Policy: Compliance Officers, Government, Health Economists, Market Access Specialists.
• Deployment Mode & Innovation: AI/Robotics Providers, R&D Professionals, Clinical Trial Managers, Pharmacovigilance Experts.
• Investors: Healthcare Investors, Venture Fund Investors, Pharma Marketing & Sales.
• Consulting & Advisory: Healthcare Consultants, Industry Associations, Analysts.
• Supply Chain: Distribution and Supply Chain Managers.
• Consumers & Advocacy: Patients, Advocacy Groups, Insurance Companies.
• Academic & Research: Academic Institutions.

Table of Contents

1. Methodology and Scope

• 1.1. Research Methodology
• 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

• 3.1. Snippet by Component
• 3.2. Snippet by Deployment Mode
• 3.3. Snippet by Organization Size
• 3.4. Snippet by Application
• 3.5. Snippet by Region

4. Dynamics

• 4.1. Impacting Factors
  • 4.1.1. Drivers
    • 4.1.1.1. Integration of Artificial Intelligence with Natural Language Processing
  • 4.1.2. Restraints
    • 4.1.2.1. Growing Concern over Data Privacy and Security
  • 4.1.3. Opportunity
  • 4.1.4. Impact Analysis

5. Industry Analysis

• 5.1. Porter's Five Force Analysis
• 5.2. Supply Chain Analysis
• 5.3. Pricing Analysis
• 5.4. Regulatory Analysis

6. By Component

• 6.1. Introduction
  • 6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
  • 6.1.2. Market Attractiveness Index, By Component
• 6.2. Services*
  • 6.2.1. Introduction
  • 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
• 6.3. Solutions

7. By Deployment Mode

• 7.1. Introduction
  • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
  • 7.1.2. Market Attractiveness Index, By Deployment Mode
• 7.2. On-Premises*
  • 7.2.1. Introduction
  • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
• 7.3. Cloud

8. By Organization Size

• 8.1. Introduction
  • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
  • 8.1.2. Market Attractiveness Index, By Organization Size
• 8.2. Small and Medium-Sized Enterprises (SMEs)*
  • 8.2.1. Introduction
  • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
• 8.3. Large Enterprises

9. By Application

• 9.1. Introduction
  • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 9.1.2. Market Attractiveness Index, By Application
• 9.2. Sentiment Analysis*
  • 9.2.1. Introduction
  • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
• 9.3. Machine Translation
• 9.4. Information Extraction
• 9.5. Question Answering
• 9.6. Text Summarization
• 9.7. Speech Recognition
• 9.8. Others

10. By Region

• 10.1. Introduction
  • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
  • 10.1.2. Market Attractiveness Index, By Region
• 10.2. North America
  • 10.2.1. Introduction
  • 10.2.2. Key Region-Specific Dynamics
  • 10.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
  • 10.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
  • 10.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
  • 10.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 10.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    • 10.2.7.1. U.S.
    • 10.2.7.2. Canada
    • 10.2.7.3. Mexico
• 10.3. Europe
  • 10.3.1. Introduction
  • 10.3.2. Key Region-Specific Dynamics
  • 10.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
  • 10.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
  • 10.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
  • 10.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 10.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    • 10.3.7.1. Germany
    • 10.3.7.2. U.K.
    • 10.3.7.3. France
    • 10.3.7.4. Spain
    • 10.3.7.5. Italy
    • 10.3.7.6. Rest of Europe
• 10.4. South America
  • 10.4.1. Introduction
  • 10.4.2. Key Region-Specific Dynamics
  • 10.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
  • 10.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
  • 10.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
  • 10.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 10.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    • 10.4.7.1. Brazil
    • 10.4.7.2. Argentina
    • 10.4.7.3. Rest of South America
• 10.5. Asia-Pacific
  • 10.5.1. Introduction
  • 10.5.2. Key Region-Specific Dynamics
  • 10.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
  • 10.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
  • 10.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
  • 10.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 10.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    • 10.5.7.1. China
    • 10.5.7.2. India
    • 10.5.7.3. Japan
    • 10.5.7.4. South Korea
    • 10.5.7.5. Rest of Asia-Pacific
• 10.6. Middle East and Africa
  • 10.6.1. Introduction
  • 10.6.2. Key Region-Specific Dynamics
  • 10.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
  • 10.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
  • 10.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
  • 10.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application

11. Competitive Landscape

• 11.1. Competitive Scenario
• 11.2. Market Positioning/Share Analysis
• 11.3. Mergers and Acquisitions Analysis

12. Company Profiles

Key Market Players

• 12.1. Microsoft Corporation*
  • 12.1.1. Company Overview
  • 12.1.2. Product Portfolio
    • 12.1.2.1. Product Description
    • 12.1.2.2. Product Key Performance Indicators (KPIs)
    • 12.1.2.3. Historic and Forecasted Product Sales
    • 12.1.2.4. Product Sales Volume
  • 12.1.3. Financial Overview
    • 12.1.3.1. Company Revenue's
    • 12.1.3.2. Geographical Revenue Shares
    • 12.1.3.3. Revenue Forecasts
  • 12.1.4. Key Developments
    • 12.1.4.1. Mergers & Acquisitions
    • 12.1.4.2. Key Product Development Activities
    • 12.1.4.3. Regulatory Approvals etc.
  • 12.1.5. SWOT Analysis
• 12.2. Google LLC
• 12.3. IBM Corporation
• 12.4. Amazon Web Services (AWS)
• 12.5. SAS Institute Inc.
• 12.6. Meta Platforms, Inc.
• 12.7. OpenAI
• 12.8. Baidu, Inc.
• 12.9. SAP SE
• 12.10. Oracle Corporation
• Similar data will be provided for each market player.

Emerging Market Players

• 12.11. Hugging Face*
  • 12.11.1. Pipeline Products Description
  • 12.11.2. Product Key Performance Indicators (KPIs)
  • 12.11.3. Key Activities
  • 12.11.4. Market Entry Timelines
  • 12.11.5. Product Penetration Rate
  • 12.11.6. Sales Estimation and Projections
• 12.12. Anthropic
• 12.13. Cohere
• 12.14. Gong.io
• Similar data will be provided for each market player.

LIST NOT EXHAUSTIVE

13. Appendix

• 13.1. About Us and Services
• 13.2. Contact Us

관련자료