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1654658

2025 年至 2033 年醫療保健和生命科學市場中的全球自然語言處理 (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個工作天內

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簡介目錄

2024 年,全球醫療保健和生命科學市場的自然語言處理 (NLP) 規模達到 50.7 億美元,預計到 2033 年將達到 809.6 億美元,在 2025-2033 年預測期內的複合年成長率為 35.7%。

自然語言處理 (NLP) 因其分析大型患者資料集的能力而在醫療保健領域越來越受歡迎。利用先進的醫學演算法和機器學習,NLP 可以從臨床記錄中提取先前隱藏在文字資料中的有價值的見解。該組織規模可以準確地表示非結構化資料,提供有關品質的寶貴見解,改進方法並改善患者治療效果。

市場動態:

促進因素與約束因素

人工智慧與自然語言處理的融合

人工智慧 (AI) 與自然語言處理 (NLP) 的結合正在徹底改變全球 NLP 市場,推動各行業的創新和廣泛採用。生成式 AI 模型等人工智慧 NLP 技術可實現精確的情緒分析、即時機器翻譯、會話式 AI 和語音辨識。醫療保健、BFSI 和零售等行業使用 AI 進行醫療轉錄、患者資料分析和客戶體驗。

例如,2024 年 10 月,雲端軟體供應商 Inovalon 推出了由人工智慧驅動的融合記錄審查,這是一種旨在簡化醫療保健風險調整流程的 SaaS 解決方案。該解決方案可自動識別具有和不具有臨床文件價值的醫療記錄,將人工審查減少高達 50%。這有助於將資源用於具有有效診斷文件的記錄,提高準確性和效率,減少浪費的時間並降低與風險調整計劃相關的成本。

對資料隱私和安全的擔憂日益加劇

全球自然語言處理 (NLP) 市場因資料隱私和安全問題而面臨挑戰。 NLP 應用程式通常需要存取敏感資料,而 GDPR 和 CCPA 等嚴格的法規帶來了風險。對加密、匿名化和合規性的投資會增加成本並使部署過程複雜化,從而限制行業全面接受 NLP 技術的意願並抑制市場成長。

目錄

第 1 章:方法與範圍

第 2 章:定義與概述

第 3 章:執行摘要

第 4 章:動態

  • 影響因素
    • 驅動程式
      • 人工智慧與自然語言處理的融合
    • 限制
      • 對資料隱私和安全的擔憂日益加劇
    • 機會
    • 影響分析

第5章:產業分析

  • 波特五力分析
  • 供應鏈分析
  • 定價分析
  • 監管分析

第 6 章:按組件

  • 服務
  • 解決方案

第 7 章:按部署模式

  • 本地

第 8 章:按組織規模

  • 中小型企業
  • 大型企業

第9章:按應用

  • 情緒分析
  • 機器翻譯
  • 資訊擷取
  • 問答
  • 文字摘要
  • 語音辨識
  • 其他

第 10 章:按地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 西班牙
    • 義大利
    • 歐洲其他地區
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地區
  • 亞太
    • 中國
    • 印度
    • 日本
    • 韓國
    • 亞太其他地區
  • 中東和非洲

第 11 章:競爭格局

  • 競爭格局
  • 市場定位/佔有率分析
  • 併購分析

第 12 章:公司簡介

  • Microsoft Corporation
    • 公司概況
    • 產品組合
      • 產品描述
      • 產品關鍵績效指標 (KPI)
      • 歷史和預測產品銷售量
      • 產品銷售量
    • 財務概覽
      • 公司收入
      • 地區收入佔有率
      • 收入預測
    • 關鍵進展
      • 合併與收購
      • 關鍵產品開發活動
      • 監管部門批准等
    • 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.
  • 擁抱臉
    • 管道產品描述
    • 產品關鍵績效指標 (KPI)
    • 主要活動
    • 市場進入時間表
    • 產品滲透率
    • 銷售估計和預測
  • 人擇
  • 凝聚
  • Gong.io
  • 將為每個市場參與者提供類似的資料。

第 13 章:附錄

簡介目錄
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