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ヘルスケアとライフサイエンスにおける自然言語処理（NLP）の世界市場：2025年～2033年

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

出版日
ページ情報
英文 205 Pages
納期
即日から翌営業日
カスタマイズ可能
適宜更新あり
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=144.06円
ヘルスケアとライフサイエンスにおける自然言語処理（NLP）の世界市場：2025年～2033年
出版日: 2025年02月13日
発行: DataM Intelligence
ページ情報: 英文 205 Pages
納期: 即日から翌営業日
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  • 概要
  • 目次
概要

ヘルスケアとライフサイエンスにおける自然言語処理（NLP）の世界市場は、2024年に50億7,000万米ドルに達し、2033年までには809億6,000万米ドルに達すると予測され、予測期間中の2025年から2033年のCAGRは35.7%で成長する見込みです。

自然言語処理（NLP）は、大規模な患者データセットを分析できることから、ヘルスケアで人気を集めています。高度な医療アルゴリズムと機械学習を活用することで、NLPはこれまでテキストデータに隠されていた貴重な洞察を臨床記録から引き出すことができます。この組織サイズは、非構造化データを正確に表現することができ、品質に関する貴重な洞察を提供し、方法を改善し、患者の転帰を向上させます。

市場力学：

促進要因と抑制要因

人工知能と自然言語処理の統合

人工知能（AI）と自然言語処理（NLP）の統合は、世界のNLP市場に革命をもたらし、イノベーションを可能にし、業界全体で広く採用されています。生成AIモデルのようなAIを搭載したNLPテクノロジーは、正確な感情分析、リアルタイムの機械翻訳、会話AI、音声認識を可能にします。ヘルスケア、BFSI、小売などの業界では、医療記録、患者データ分析、顧客体験にAIを使用しています。

例えば、2024年10月、クラウドベースのソフトウェア・プロバイダであるInovalonは、ヘルスケアにおけるリスク調整プロセスを合理化するために設計されたSaaSソリューション、AIを搭載したConverged Record Reviewを発表しました。このソリューションは、臨床文書価値のある医療記録とない医療記録の識別を自動化し、手作業によるレビューを最大50％削減します。これにより、有効な診断文書がある記録にリソースを振り向けることができ、正確性と効率が向上し、無駄な時間が削減され、リスク調整プログラムに関連するコストが削減されます。

データプライバシーとセキュリティへの関心の高まり

世界の自然言語処理（NLP）市場は、データのプライバシーとセキュリティに対する懸念から課題に直面しています。NLPアプリケーションは機密データへのアクセスを必要とすることが多く、GDPRやCCPAのような厳しい規制がリスクとなっています。暗号化、匿名化、コンプライアンスへの投資は、コスト増と導入プロセスの複雑化を招き、NLP技術を全面的に採用しようとする業界の意欲を制限し、市場の成長を抑制する可能性があります。

目次

第1章 調査手法と調査範囲

第2章 定義と概要

第3章 エグゼクティブサマリー

第4章 市場力学

  • 影響要因
    • 促進要因
      • 人工知能と自然言語処理の統合
    • 抑制要因
      • データのプライバシーとセキュリティに対する懸念の高まり
    • 機会
    • 影響分析

第5章 産業分析

  • ポーターのファイブフォース分析
  • サプライチェーン分析
  • 価格分析
  • 規制分析

第6章 コンポーネント別

  • サービス
  • ソリューション

第7章 展開モード別

  • オンプレミス
  • クラウド

第8章 組織規模別

  • 中小企業
  • 大企業

第9章 用途別

  • 感情分析
  • 機械翻訳
  • 情報抽出
  • 質問への回答
  • テキスト要約
  • 音声認識
  • その他

第10章 地域別

  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • スペイン
    • イタリア
    • その他欧州地域
  • 南米
    • ブラジル
    • アルゼンチン
    • その他南米
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • 韓国
    • その他アジア太平洋
  • 中東・アフリカ

第11章 競合情勢

  • 競合シナリオ
  • 市況・シェア分析
  • M&A分析

第12章 企業プロファイル

  • Microsoft Corporation
    • 会社概要
    • 製品ポートフォリオ
      • 製品説明
      • 製品の主要業績評価指標（KPI）
      • 過去および予測の製品販売
      • 製品販売量
    • 財務概要
      • 会社の収益
      • 地域別収益分配
      • 収益予測
    • 主な発展
      • 合併と買収
      • 主な製品開発活動
      • 規制当局の承認等
    • SWOT分析
  • Google LLC
  • IBM Corporation
  • Amazon Web Services（AWS）
  • SAS Institute Inc.
  • Meta Platforms, Inc.
  • OpenAI
  • Baidu, Inc.
  • SAP SE
  • Oracle Corporation
  • Hugging Face
    • パイプライン製品の説明
    • 製品の主要業績評価指標（KPI）
    • 主な活動
    • 市場参入のタイムライン
    • 製品普及率
    • 売上予測と予測
  • Anthropic
  • Cohere
  • Gong.io
  • 各市場参入企業に対しても同様のデータが提供されます。

第13章 付録

目次
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