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市场调查报告书
商品编码
1654658

2025 年至 2033 年医疗保健和生命科学市场中的全球自然语言处理 (NLP)

Global Natural Language Processing (NLP) in Healthcare & Lifesciences Market - 2025-2033
出版日期: | 出版商: DataM Intelligence | 英文 205 Pages | 商品交期: 最快1-2个工作天内

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简介目录

2024 年，全球医疗保健和生命科学市场的自然语言处理 (NLP) 规模达到 50.7 亿美元，预计到 2033 年将达到 809.6 亿美元，在 2025-2033 年预测期内的复合年增长率为 35.7%。

自然语言处理 (NLP) 因其分析大型患者资料集的能力而在医疗保健领域越来越受欢迎。利用先进的医学演算法和机器学习，NLP 可以从临床记录中提取先前隐藏在文字资料中的有价值的见解。该组织规模可以准确地表示非结构化资料，提供有关品质的宝贵见解，改进方法并改善患者治疗效果。

市场动态：

驱动因素与约束因素

人工智慧与自然语言处理的融合

人工智慧 (AI) 与自然语言处理 (NLP) 的结合正在彻底改变全球 NLP 市场，推动各行业的创新和广泛采用。生成式 AI 模型等人工智慧 NLP 技术可实现精确的情绪分析、即时机器翻译、会话式 AI 和语音辨识。医疗保健、BFSI 和零售等行业使用 AI 进行医疗转录、患者资料分析和客户体验。

例如，2024 年 10 月，云端软体供应商 Inovalon 推出了由人工智慧驱动的融合记录审查，这是一种旨在简化医疗保健风险调整流程的 SaaS 解决方案。该解决方案可自动识别具有和不具有临床文件价值的医疗记录，将人工审查减少高达 50%。这有助于将资源用于具有有效诊断文件的记录，提高准确性和效率，减少浪费的时间并降低与风险调整计划相关的成本。

对资料隐私和安全的担忧日益加剧

全球自然语言处理 (NLP) 市场因资料隐私和安全问题而面临挑战。 NLP 应用程式通常需要存取敏感资料，而 GDPR 和 CCPA 等严格的法规带来了风险。对加密、匿名化和合规性的投资会增加成本并使部署过程复杂化，从而限制行业全面接受 NLP 技术的意愿并抑制市场成长。

目录

第 1 章：方法与范围

第 2 章：定义与概述

第 3 章：执行摘要

第 4 章：动态

  • 影响因素
    • 驱动程式
      • 人工智慧与自然语言处理的融合
    • 限制
      • 对资料隐私和安全的担忧日益加剧
    • 机会
    • 影响分析

第五章：产业分析

  • 波特五力分析
  • 供应链分析
  • 定价分析
  • 监管分析

第 6 章：按组件

  • 服务
  • 解决方案

第 7 章：按部署模式

  • 本地
  • 云

第 8 章：按组织规模

  • 中小型企业
  • 大型企业

第九章：按应用

  • 情绪分析
  • 机器翻译
  • 资讯撷取
  • 问答
  • 文字摘要
  • 语音辨识
  • 其他的

第 10 章：按地区

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 西班牙
    • 义大利
    • 欧洲其他地区
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地区
  • 亚太
    • 中国
    • 印度
    • 日本
    • 韩国
    • 亚太其他地区
  • 中东和非洲

第 11 章：竞争格局

  • 竞争格局
  • 市场定位/份额分析
  • 併购分析

第 12 章：公司简介

  • Microsoft Corporation
    • 公司概况
    • 产品组合
      • 产品描述
      • 产品关键绩效指标 (KPI)
      • 历史和预测产品销售量
      • 产品销售量
    • 财务概览
      • 公司收入
      • 地区收入份额
      • 收入预测
    • 关键进展
      • 合併与收购
      • 关键产品开发活动
      • 监管部门批准等
    • SWOT 分析
  • Google LLC
  • IBM Corporation
  • Amazon Web Services (AWS)
  • SAS Institute Inc.
  • Meta Platforms, Inc.
  • OpenAI
  • Baidu, Inc.
  • SAP SE
  • Oracle Corporation
  • Similar data will be provided for each market player.
  • 拥抱脸
    • 管道产品描述
    • 产品关键绩效指标 (KPI)
    • 主要活动
    • 市场进入时间表
    • 产品渗透率
    • 销售估计和预测
  • 人择
  • 凝聚
  • Gong.io
  • 将为每个市场参与者提供类似的资料。

第 13 章：附录

简介目录
Product Code: HCIT3281

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