ヘルスケア・ライフサイエンスにおけるNLPの世界市場規模、シェア、動向分析：技術別、最終用途別、地域別、セグメント別予測（2024年～2030年）

ヘルスケア・ライフサイエンスにおけるNLP市場の成長と動向：

世界のヘルスケア・ライフサイエンスにおけるNLPの市場規模は、2030年までに370億米ドルに達する見込みです。

Grand View Research, Inc.の最新レポートによると、予測期間中のCAGRは34.7%で成長すると予測されています。同市場の成長は、ケアデリバリーと患者エンゲージメントを強化する需要の高まり、重大な健康上の懸念を改善するための予測分析のニーズの高まり、臨床意思決定支援の強化への注目の高まり、ヘルスケアにおけるAI統合への投資の高まりに起因しています。

高度な臨床意思決定支援に対する需要の高まりが、ヘルスケア・ライフサイエンスにおけるNLPの採用を促進しています。自然言語処理（NLP）は、従来の臨床意思決定支援システムの能力を超えた、さまざまなソースからの複雑な情報の抽出を可能にすることで、ソリューションを提供します。これにより、医師の語りや患者のメモなどの非構造化データを取り込むことで、意思決定が強化されます。NLPの統合は、臨床意思決定支援を改善し、患者データをより深く理解し、最終的にはより良いヘルスケア結果と十分な情報に基づいた医療行為を促進することを目的としています。例えば、2030年11月、医療情報と分析のリーダーであるエルゼビア・ヘルスは、医療分野における人工知能機能を提供するオープンエビデンスと戦略的提携を結びました。この提携は、高度な臨床判断支援システムであるクリニカルキーAIの開発を目的としています。このシステムは、最新のエビデンスに基づく医療コンテンツと高度な生成AIを融合させ、患者ケア中のヘルスケア専門家を支援します。このシステムは自然言語インターフェースを備えており、医療現場でのトレーニングや意思決定に不可欠な、継続的に更新されるエビデンスに基づく調査とともにコンテンツにアクセスできます。

人工知能（AI）・機械学習（ML）技術は、正確な診断プロセスのためにますます利用されるようになっており、主に、調整された患者データを通じてCOVID-19陽性者を特定する際に利用されています。2020年にNCBIによって発表された研究では、AIを強化したアルゴリズムが、当初は医療従事者によって陰性と誤診された25人の患者サンプル内のCOVID-19陽性症例の68％の同定に成功したことが示されました。ヘルスケアにおけるAIとMLの導入は、患者の転帰を改善し、機器のダウンタイムを最小限に抑え、医療費を削減し、市場拡大に貢献することを目指しています。パンデミックの発生は、患者・投薬管理、診断、システム相互運用性、クレーム処理、ワークフロー強化、サイバーセキュリティ対策におけるAI主導型技術の統合を大幅に後押ししています。

さらに、IBM、Microsoft、Google（Alphabet Inc.）、IQVIA、Dolbey Systems, Inc.などの市場の主要企業は、製品の発売、パートナーシップ、事業拡大、提携、M&Aなど、さまざまな戦略を採用しています。これらの戦略的イニシアティブを通じて、市場企業は市場での地位を強化し、顧客基盤を拡大しようとしています。例えば、2023年4月、グーグル・クラウドは、医療保険の事前承認と請求処理の効率を高めるために、AI対応のClaims Acceleration Suiteを発表しました。Claims Data Activatorを活用したこのソリューションは、非構造化データを構造化データに変換することで、医療保険制度や提供者の管理負担を軽減し、コストを削減することを目的としています。データ変換プロセスには、Document AI、Healthcare Natural Language API、Healthcare APIなどの技術を活用しています。これにより、より迅速で、より多くの情報に基づいた意思決定が容易になり、患者ケアを改善できる可能性があります。

ヘルスケア・ライフサイエンスにおけるNLP市場レポートハイライト

• 市場は技術別に、スマートアシスタンス、光学式文字認識、自動コーディング、テキスト分析、音声分析、分類・カテゴリー化に区分されます。スマートアシスタンスセグメントは2023年に18.71%の最大市場シェアを占めました。患者ケアと服薬アドヒアランスの強化に対する需要の高まりが、ヘルスケア分野におけるスマートアシスタンスの需要を促進しています。
• 最終用途別では、市場は提供者、支払者、ライフサイエンス企業、その他に区分されます。ライフサイエンス企業は、2023年に43.73%の大きな市場シェアを占めました。
• 北米は2023年に43.60%の収益シェアで市場を独占しました。この背景には、洗練されたヘルスケアインフラの存在、政府の支援政策、確立されたITインフラ、高いデジタルリテラシーがあります。さらに、アジア太平洋は、2024年～2030年のCAGRが37.0%で最も速い成長が見込まれています。
• 同市場の注目すべき企業としては、IBM、マイクロソフト、グーグル（アルファベット）、IQVIA、ドルビーシステムズなどが挙げられます。

目次

第1章 調査手法と範囲

第2章 エグゼクティブサマリー

第3章 ヘルスケア・ライフサイエンスにおけるNLP市場の変数、動向、範囲

• 市場系統の見通し
  • 親市場の見通し
  • 関連/補助市場見通し
• 業界分析
  • ユーザー視点分析
  • 主なエンドユーザー
• 技術展望
• 規制の枠組み
• 市場力学
  • 市場促進要因分析
  • 市場抑制要因分析
  • 業界の課題と機会の分析
• ヘルスケア・ライフサイエンスにおけるNLP市場の分析ツール
  • ポーターの分析
  • PESTEL分析
• 米国のヘルスケア支払者のコア事務処理ソリューション業界における主要取引と戦略的提携の分析
• COVID-19の影響
• ケーススタディ：ヘルスケア・ライフサイエンスにおけるNLP市場の実際の導入成功事例

第4章 ヘルスケア・ライフサイエンスにおけるNLP市場：技術の推定・動向分析

• 定義と範囲
• 技術市場シェア分析（2023年・2030年）
• セグメントダッシュボード
• ヘルスケア・ライフサイエンスにおけるNLP市場：技術別（2018年～2030年）
• スマートアシスタンス
• 光学式文字認識
• 自動コーディング
• テキスト分析
• 音声分析
• 分類・カテゴリー化

第5章 ヘルスケア・ライフサイエンスにおけるNLP市場：最終用途の推定・動向分析

• 定義と範囲
• 最終用途市場シェア分析（2023年・2030年）
• セグメントダッシュボード
• ヘルスケア・ライフサイエンスにおけるNLP市場：最終用途別（2018年～2030年）
• 提供者
• 支払者
• ライフサイエンス企業
• その他

第6章 ヘルスケア・ライフサイエンスにおけるNLP市場：国、配信、用途、最終用途別の地域推定・動向分析

• 定義と範囲
• 地域市場シェア分析（2023年・2030年）
• 地域市場ダッシュボード
• 地域市場のスナップショット
• SWOT分析
• ヘルスケア・ライフサイエンスにおけるNLPの市場シェア：地域別（2023年・2030年）
• 北米
• 欧州
• アジア太平洋
• ラテンアメリカ
• 中東・アフリカ

第7章 競合情勢

• 主要市場参入企業による最近の動向と影響分析
• 企業分類
• 企業の市場シェア/ポジション分析
• 企業ヒートマップ分析
• 戦略マッピング
  • 事業拡大
  • 合併と買収
  • パートナーシップとコラボレーション
  • 新しい技術の導入
  • 研究開発
• 企業プロファイル
  • IBM
  • Microsoft
  • Google（Alphabet Inc.）
  • IQVIA
  • Dolbey Systems, Inc.
  • Averbis
  • Press ganey
  • lexalytics
  • Clinithink
  • Hewlett Packard Enterprise
  • Apixio
  • Edifecs
  • JohnSnow Labs
  • Itrex Group
  • Itrex Group
  • CloudMedx
  • BenevolentAI
  • Tempus

List of Tables

• Table 1 List of secondary sources
• Table 2 List of abbreviations
• Table 3 North America NLP in Healthcare and Life Sciences market estimates and forecasts, by technique, 2018 - 2030 (USD Million)
• Table 4 North America NLP in Healthcare and Life Sciences market estimates and forecasts, by end use, 2018 - 2030 (USD Million)
• Table 5 U.S. NLP in Healthcare and Life Sciences market estimates and forecasts, by technique, 2018 - 2030 (USD Million)
• Table 6 U.S. NLP in Healthcare and Life Sciences market estimates and forecasts, by end use, 2018 - 2030 (USD Million)
• Table 7 Canada NLP in Healthcare and Life Sciences market estimates and forecasts, by technique, 2018 - 2030 (USD Million)
• Table 8 Canada NLP in Healthcare and Life Sciences market estimates and forecasts, by end use, 2018 - 2030 (USD Million)
• Table 9 Mexico NLP in Healthcare and Life Sciences market estimates and forecasts, by technique, 2018 - 2030 (USD Million)
• Table 10 Mexico NLP in Healthcare and Life Sciences market estimates and forecasts, by end use, 2018 - 2030 (USD Million)
• Table 11 Europe NLP in Healthcare and Life Sciences market estimates and forecasts, by technique, 2018 - 2030 (USD Million)
• Table 12 Europe NLP in Healthcare and Life Sciences market estimates and forecasts, by end use, 2018 - 2030 (USD Million)
• Table 13 UK NLP in Healthcare and Life Sciences market estimates and forecasts, by technique, 2018 - 2030 (USD Million)
• Table 14 UK NLP in Healthcare and Life Sciences market estimates and forecasts, by end use, 2018 - 2030 (USD Million)
• Table 15 Germany NLP in Healthcare and Life Sciences market estimates and forecasts, by technique, 2018 - 2030 (USD Million)
• Table 16 Germany NLP in Healthcare and Life Sciences market estimates and forecasts, by end use, 2018 - 2030 (USD Million)
• Table 17 France NLP in Healthcare and Life Sciences market estimates and forecasts, by technique, 2018 - 2030 (USD Million)
• Table 18 France NLP in Healthcare and Life Sciences market estimates and forecasts, by end use, 2018 - 2030 (USD Million)
• Table 19 Italy NLP in Healthcare and Life Sciences market estimates and forecasts, by technique, 2018 - 2030 (USD Million)
• Table 20 Italy NLP in Healthcare and Life Sciences market estimates and forecasts, by end use, 2018 - 2030 (USD Million)
• Table 21 Spain NLP in Healthcare and Life Sciences market estimates and forecasts, by technique, 2018 - 2030 (USD Million)
• Table 22 Spain NLP in Healthcare and Life Sciences market estimates and forecasts, by end use, 2018 - 2030 (USD Million)
• Table 23 Sweden NLP in Healthcare and Life Sciences market estimates and forecasts, by technique, 2018 - 2030 (USD Million)
• Table 24 Sweden NLP in Healthcare and Life Sciences market estimates and forecasts, by end use, 2018 - 2030 (USD Million)
• Table 25 Denmark NLP in Healthcare and Life Sciences market estimates and forecasts, by technique, 2018 - 2030 (USD Million)
• Table 26 Denmark NLP in Healthcare and Life Sciences market estimates and forecasts, by end use, 2018 - 2030 (USD Million)
• Table 27 Norway NLP in Healthcare and Life Sciences market estimates and forecasts, by technique, 2018 - 2030 (USD Million)
• Table 28 Norway NLP in Healthcare and Life Sciences market estimates and forecasts, by end use, 2018 - 2030 (USD Million)
• Table 29 Asia Pacific NLP in Healthcare and Life Sciences market estimates and forecasts, by technique, 2018 - 2030 (USD Million)
• Table 30 Asia Pacific NLP in Healthcare and Life Sciences market estimates and forecasts, by end use, 2018 - 2030 (USD Million)
• Table 31 Japan NLP in Healthcare and Life Sciences market estimates and forecasts, by technique, 2018 - 2030 (USD Million)
• Table 32 Japan NLP in Healthcare and Life Sciences market estimates and forecasts, by end use, 2018 - 2030 (USD Million)
• Table 33 China NLP in Healthcare and Life Sciences market estimates and forecasts, by technique, 2018 - 2030 (USD Million)
• Table 34 China NLP in Healthcare and Life Sciences market estimates and forecasts, by end use, 2018 - 2030 (USD Million)
• Table 35 India NLP in Healthcare and Life Sciences market estimates and forecasts, by technique, 2018 - 2030 (USD Million)
• Table 36 India NLP in Healthcare and Life Sciences market estimates and forecasts, by end use, 2018 - 2030 (USD Million)
• Table 37 Australia NLP in Healthcare and Life Sciences market estimates and forecasts, by technique, 2018 - 2030 (USD Million)
• Table 38 Australia NLP in Healthcare and Life Sciences market estimates and forecasts, by end use, 2018 - 2030 (USD Million)
• Table 39 South Korea NLP in Healthcare and Life Sciences market estimates and forecasts, by technique, 2018 - 2030 (USD Million)
• Table 40 South Korea NLP in Healthcare and Life Sciences market estimates and forecasts, by end use, 2018 - 2030 (USD Million)
• Table 41 Thailand NLP in Healthcare and Life Sciences market estimates and forecasts, by technique, 2018 - 2030 (USD Million)
• Table 42 Thailand NLP in Healthcare and Life Sciences market estimates and forecasts, by end use, 2018 - 2030 (USD Million)
• Table 43 Latin America NLP in Healthcare and Life Sciences market estimates and forecasts, by technique, 2018 - 2030 (USD Million)
• Table 44 Latin America NLP in Healthcare and Life Sciences market estimates and forecasts, by end use, 2018 - 2030 (USD Million)
• Table 45 Brazil NLP in Healthcare and Life Sciences market estimates and forecasts, by technique, 2018 - 2030 (USD Million)
• Table 46 Brazil NLP in Healthcare and Life Sciences market estimates and forecasts, by end use, 2018 - 2030 (USD Million)
• Table 47 Argentina NLP in Healthcare and Life Sciences market estimates and forecasts, by technique, 2018 - 2030 (USD Million)
• Table 48 Argentina NLP in Healthcare and Life Sciences market estimates and forecasts, by end use, 2018 - 2030 (USD Million)
• Table 49 MEA NLP in Healthcare and Life Sciences market estimates and forecasts, by technique, 2018 - 2030 (USD Million)
• Table 50 MEA NLP in Healthcare and Life Sciences market estimates and forecasts, by end use, 2018 - 2030 (USD Million)
• Table 51 South Africa NLP in Healthcare and Life Sciences market estimates and forecasts, by technique, 2018 - 2030 (USD Million)
• Table 52 South Africa NLP in Healthcare and Life Sciences market estimates and forecasts, by end use, 2018 - 2030 (USD Million)
• Table 53 Saudi Arabia NLP in Healthcare and Life Sciences market estimates and forecasts, by technique, 2018 - 2030 (USD Million)
• Table 54 Saudi Arabia NLP in Healthcare and Life Sciences market estimates and forecasts, by end use, 2018 - 2030 (USD Million)
• Table 55 UAE NLP in Healthcare and Life Sciences market estimates and forecasts, by technique, 2018 - 2030 (USD Million)
• Table 56 UAE NLP in Healthcare and Life Sciences market estimates and forecasts, by end use, 2018 - 2030 (USD Million)
• Table 57 Kuwait NLP in Healthcare and Life Sciences market estimates and forecasts, by technique, 2018 - 2030 (USD Million)
• Table 58 Kuwait NLP in Healthcare and Life Sciences market estimates and forecasts, by end use, 2018 - 2030 (USD Million)

List of Figures

• Fig. 1 NLP in Healthcare and Life Sciences Market Segmentation
• Fig. 2 Information Procurement
• Fig. 3 Data Analysis Models
• Fig. 4 Market Formulation and Validation
• Fig. 5 Data Validating & Publishing
• Fig. 6 Market Snapshot
• Fig. 7 Segment Snapshot
• Fig. 8 Competitive Landscape Snapshot
• Fig. 9 NLP in Healthcare and Life Sciences Market Size and Growth Prospects (USD Billion)
• Fig. 10 NLP in Healthcare and Life Sciences Market: Market Dynamics
• Fig. 11 NLP in Healthcare and Life Sciences Market: PORTER's Analysis
• Fig. 12 NLP in Healthcare and Life Sciences Market: PESTEL Analysis
• Fig. 13 NLP in Healthcare and Life Sciences Market Share by Technique 2023 & 2030 (USD Billion)
• Fig. 14 NLP in Healthcare and Life Sciences Market,by Technique: Market Share, 2023 & 2030
• Fig. 15 Smart Assistance Market Estimates & Forecasts, 2018 - 2030 (Revenue, USD Billion)
• Fig. 16 Optical Character Recognition Market Estimates & Forecasts, 2018 - 2030 (Revenue, USD Billion)
• Fig. 17 Auto Coding Market Estimates & Forecasts, 2018 - 2030 (Revenue, USD Billion)
• Fig. 18 Text Analytics Market Estimates & Forecasts, 2018 - 2030 (USD Million)
• Fig. 19 Speech Analytics Market Estimates & Forecasts, 2018 - 2030 (USD Million)
• Fig. 20 Classification and categorization Market Estimates & Forecasts, 2018 - 2030 (USD Million)
• Fig. 21 NLP in Healthcare and Life Sciences Market, by End Use: Key Takeaways
• Fig. 22 NLP in Healthcare and Life Sciences Market, by End Use: Market Share, 2023 & 2030
• Fig. 23 Providers Market Estimates & Forecasts, 2018 - 2030 (Revenue, USD Billion)
• Fig. 24 Payers Market Estimates & Forecasts, 2018 - 2030 (Revenue, USD Billion)
• Fig. 25 Life Science Companies Market Estimates & Forecasts, 2018 - 2030 (Revenue, USD Billion)
• Fig. 26 Others Market Estimates & Forecasts, 2018 - 2030 (Revenue, USD Billion)
• Fig. 27 NLP in Healthcare and Life Sciences Market Revenue, by Region, 2023 & 2030 (USD Million)
• Fig. 28 Regional Marketplace: Key Takeaways
• Fig. 29 Regional Marketplace: Key Takeaways
• Fig. 30 North America NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• Fig. 31 U.S. NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• Fig. 32 Canada NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• Fig. 33 Mexico NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• Fig. 34 Europe NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• Fig. 35 UK NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030) (USD Million)
• Fig. 36 Germany NLP in Healthcare and Life Sciences Market Estimates and Forecasts, (2018 - 2030) (USD Million)
• Fig. 37 France NLP in Healthcare and Life Sciences Market Estimates and Forecasts, (2018 - 2030) (USD Million)
• Fig. 38 Italy NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030) (USD Million)
• Fig. 39 Spain NLP in Healthcare and Life Sciences Market Estimates and Forecasts, (2018 - 2030) (USD Million)
• Fig. 40 Sweden NLP in Healthcare and Life Sciences Market Estimates and Forecasts, (2018 - 2030) (USD Million)
• Fig. 41 Denmark NLP in Healthcare and Life Sciences Market Estimates and Forecasts, (2018 - 2030) (USD Million)
• Fig. 42 Norway NLP in Healthcare and Life Sciences Market Estimates and Forecasts, (2018 - 2030) (USD Million)
• Fig. 43 Asia Pacific NLP in Healthcare and Life Sciences Market Estimates and Forecast, 2018 - 2030 (USD Million)
• Fig. 44 Japan NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• Fig. 45 China NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• Fig. 46 India NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• Fig. 47 Australia NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• Fig. 48 South Korea NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• Fig. 49 Thailand NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• Fig. 50 Latin America NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• Fig. 51 Brazil NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• Fig. 52 Argentina NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• Fig. 53 MEA NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• Fig. 54 Saudi Arabia NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• Fig. 55 South Africa NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• Fig. 56 UAE NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• Fig. 57 Kuwait NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• Fig. 58 Key Company Categorization
• Fig. 59 Company Market Positioning
• Fig. 60 Key Company Market Share Analysis, 2023
• Fig. 61 Strategic Framework

NLP In Healthcare And Life Sciences Market Growth & Trends:

The global NLP in healthcare and life sciences market size is expected to reach USD 37.0 billion by 2030. It is projected to grow at a CAGR of 34.7% over the forecast period, according to a new report by Grand View Research, Inc. The growth of the market is attributed to the increasing demand to enhance care delivery and patient engagement, the growing need for predictive analytics to improve significant health concerns, the rising focus on enhancing clinical decision support, and the growing investment for AI integration in healthcare.

The increasing demand for advanced clinical decision support is driving the adoption of NLP in healthcare and life sciences. Natural Language Processing (NLP) offers a solution by enabling the extraction of complex information from various sources beyond the capabilities of conventional clinical decision support systems. This enhances decision-making by incorporating unstructured data, such as physician narratives and patient notes. Integrating NLP aims to improve clinical decision support, providing a more thorough understanding of patient data and ultimately facilitating better healthcare outcomes and well-informed medical actions. For instance, in November 2030, Elsevier Health, a medical information and analytics leader, entered a strategic alliance with OpenEvidence, a provider of artificial intelligence capabilities in the medical field. This collaboration aims to develop ClinicalKey AI, an advanced clinical decision support system. This system merges up-to-date, evidence-based medical content with advanced generative AI to assist healthcare professionals during patient care. It features a natural language interface that provides access to content alongside continuously updated evidence-based research crucial for medical training and decision-making at the point of care.

Artificial Intelligence (AI) and Machine Learning (ML) technologies were increasingly utilized for precise diagnostic processes, mostly in identifying COVID-19-positive individuals through tailored patient data. A study published by NCBI in 2020 demonstrated that AI-enhanced algorithms successfully identified 68% of COVID-19-positive cases within a sample of 25 patients, initially misdiagnosed as negative by medical practitioners. The deployment of AI and ML in healthcare aims to improve patient outcomes, minimize equipment downtime, and reduce medical costs, contributing to market expansion. The onset of the pandemic has significantly boosted the integration of AI-driven technologies in patient and medication management, diagnostics, system interoperability, claims handling, workflow enhancement, and cybersecurity measures.

Moreover, some of the key players in the market, such as IBM, Microsoft, Google (Alphabet Inc.), IQVIA, and Dolbey Systems, Inc., among others, are adopting various strategies such as product launches, partnerships, expansions, collaborations, and mergers & acquisitions. Through these strategic initiatives, market players are trying to strengthen their market positions and expand their customer base. For instance, in April 2023, Google Cloud introduced its AI-enabled Claims Acceleration Suite to enhance health insurance prior authorization and claims processing efficiency. Utilizing the Claims Data Activator, this solution aims to mitigate administrative burdens and reduce costs for health plans and providers by transforming unstructured data into structured data. It leverages technologies such as Document AI, Healthcare Natural Language API, and Healthcare API for data conversion processes. This facilitates quicker, more informed decision-making, potentially improving patient care.

NLP In Healthcare And Life Sciences Market Report Highlights:

• The market is segmented by technique into smart assistance, optical character recognition, auto coding, text analytics, speech analytics, and classification and categorization. The smart assistance segment held the largest market share of 18.71% in 2023. The increasing demand for enhanced patient care and medication adherence fuels the demand for smart assistance in the healthcare sector.
• Based on end use, the market is segmented into providers, payers, Life Science Companies, and others. Life Science Companies accounted for a significant market share of 43.73% in 2023, driven by the Increasing awareness regarding the benefits associated with the adoption of NLP.
• North America dominated the market with a revenue share of 43.60% in 2023. This is attributed to the presence of sophisticated healthcare infrastructure, supportive government policies, well-established IT infrastructure, and high digital literacy. Moreover, Asia Pacific is anticipated to witness the fastest growth at a CAGR of 37.0% from 2024 to 2030.
• Some of the notable companies in the market are IBM, Microsoft, Google (Alphabet Inc.), IQVIA, and Dolbey Systems, Inc., among others.

Table of Contents

Chapter 1. Methodology and Scope

• 1.1. Market Segmentation and Scope
• 1.2. Market Definitions
• 1.3. Research Methodology
• 1.4. Information Procurement
  • 1.4.1. Purchased Database
  • 1.4.2. GVR's Internal Database
• 1.5. Details of primary research
• 1.6. Market Formulation & Validation
• 1.7. Model Details
  • 1.7.1. Commodity flow analysis (Model 1)
    • 1.7.1.1. Approach 1: Commodity flow approach
• 1.8. Research Scope and Assumptions
  • 1.8.1. List of Secondary Sources
  • 1.8.2. List of Primary Sources
  • 1.8.3. Objectives

Chapter 2. Executive Summary

• 2.1. Market Outlook
• 2.2. Segment Outlook
  • 2.2.1. Technique Outlook
  • 2.2.2. End Use Outlook
• 2.3. Competitive Insights

Chapter 3. NLP in Healthcare and Life Sciences Market Variables, Trends, & Scope

• 3.1. Market Lineage Outlook
  • 3.1.1. Parent Market Outlook
  • 3.1.2. Related/Ancillary Market Outlook
• 3.2. Industry Analysis
  • 3.2.1. User Perspective Analysis
  • 3.2.2. Key End Users
• 3.3. Technology Outlook
• 3.4. Regulatory Framework
• 3.5. Market Dynamics
  • 3.5.1. Market Drivers Analysis
  • 3.5.2. Market Restraints Analysis
  • 3.5.3. Industry Challenges and Opportunity Analysis
• 3.6. NLP in Healthcare and Life Sciences Market Analysis Tools
  • 3.6.1. Porter's Analysis
    • 3.6.1.1. Bargaining power of the suppliers
    • 3.6.1.2. Bargaining power of the buyers
    • 3.6.1.3. Threats of substitution
    • 3.6.1.4. Threats from new entrants
    • 3.6.1.5. Competitive rivalry
  • 3.6.2. PESTEL Analysis
    • 3.6.2.1. Political landscape
    • 3.6.2.2. Economic and Social landscape
    • 3.6.2.3. Technological landscape
    • 3.6.2.4. Environmental landscape
    • 3.6.2.5. Legal landscape
• 3.7. Major Deals & Strategic Alliances Analysis in the U.S. Healthcare Payers Core Administrative Processing Solutions Industry
• 3.8. Impact of COVID-19
• 3.9. Case Studies: Real-World Implementation Success Stories of NLP in Healthcare and Life Sciences Market

Chapter 4. NLP in Healthcare and Life Sciences Market: Technique Estimates & Trend Analysis

• 4.1. Definition and Scope
• 4.2. Technique Market Share Analysis, 2023 & 2030
• 4.3. Segment Dashboard
• 4.4. NLP in Healthcare and Life Sciences Market: By Technique, 2018 to 2030
• 4.5. Smart Assistance
  • 4.5.1. Smart Assistance Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
• 4.6. Optical Character Recognition
  • 4.6.1. Optical Character Recognition Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
• 4.7. Auto Coding
  • 4.7.1. Auto Coding Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
• 4.8. Text Analytics
  • 4.8.1. Text Analytics Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
• 4.9. Speech Analytics
  • 4.9.1. Speech Analytics Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
• 4.10. Classification and categorization
  • 4.10.1. Classification and categorization Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)

Chapter 5. NLP in Healthcare and Life Sciences Market: End Use Estimates& Trend Analysis

• 5.1. Definition and Scope
• 5.2. End Use Market Share Analysis, 2023 & 2030
• 5.3. Segment Dashboard
• 5.4. NLP in Healthcare and Life Sciences Market: By End Use, 2018 to 2030
• 5.5. Providers
  • 5.5.1. Providers Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
• 5.6. Payers
  • 5.6.1. Payers Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
• 5.7. Life Science Companies
  • 5.7.1. Life Science Companies Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
• 5.8. Others
  • 5.8.1. Others Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)

Chapter 6. NLP in Healthcare and Life Sciences Market: Regional Estimates & Trend Analysis by Country, Delivery, Application, End Use

• 6.1. Definition and Scope
• 6.2. Regional Market Share Analysis, 2023 & 2030
• 6.3. Regional Market Dashboard
• 6.4. Regional Market Snapshot
• 6.5. SWOT Analysis
  • 6.5.1. North America
  • 6.5.2. Europe
  • 6.5.3. Asia Pacific
  • 6.5.4. Latin America
  • 6.5.5. Middle East & Africa
• 6.6. NLP in Healthcare and Life Sciences Market Share, By Region, 2023 & 2030, USD Million
• 6.7. North America
  • 6.7.1. North America NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.7.2. U.S.
    • 6.7.2.1. Key Country Dynamics
    • 6.7.2.2. Regulatory Landscape/Reimbursement Scenario
    • 6.7.2.3. Competitive Insights
    • 6.7.2.4. U.S. NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.7.3. Canada
    • 6.7.3.1. Key Country Dynamics
    • 6.7.3.2. Regulatory Landscape/Reimbursement Scenario
    • 6.7.3.3. Competitive Insights
    • 6.7.3.4. Canada NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.7.4. Mexico
    • 6.7.4.1. Key Country Dynamics
    • 6.7.4.2. Regulatory Landscape/Reimbursement Scenario
    • 6.7.4.3. Competitive Insights
    • 6.7.4.4. Mexico NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• 6.8. Europe
  • 6.8.1. Europe NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.8.2. UK
    • 6.8.2.1. Key Country Dynamics
    • 6.8.2.2. Regulatory Landscape/Reimbursement Scenario
    • 6.8.2.3. Competitive Insights
    • 6.8.2.4. U.K. NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.8.3. Germany
    • 6.8.3.1. Key Country Dynamics
    • 6.8.3.2. Regulatory Landscape/Reimbursement Scenario
    • 6.8.3.3. Competitive Insights
    • 6.8.3.4. Germany NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.8.4. France
    • 6.8.4.1. Key Country Dynamics
    • 6.8.4.2. Regulatory Landscape/Reimbursement Scenario
    • 6.8.4.3. Competitive Insights
    • 6.8.4.4. France NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.8.5. Italy
    • 6.8.5.1. Key Country Dynamics
    • 6.8.5.2. Regulatory Landscape/Reimbursement Scenario
    • 6.8.5.3. Competitive Insights
    • 6.8.5.4. Italy NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.8.6. Spain
    • 6.8.6.1. Key Country Dynamics
    • 6.8.6.2. Regulatory Landscape/Reimbursement Scenario
    • 6.8.6.3. Competitive Insights
    • 6.8.6.4. Spain NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.8.7. Sweden
    • 6.8.7.1. Key Country Dynamics
    • 6.8.7.2. Regulatory Landscape/Reimbursement Scenario
    • 6.8.7.3. Competitive Insights
    • 6.8.7.4. Sweden NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.8.8. Denmark
    • 6.8.8.1. Key Country Dynamics
    • 6.8.8.2. Regulatory Landscape/Reimbursement Scenario
    • 6.8.8.3. Competitive Insights
    • 6.8.8.4. Denmark NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.8.9. Norway
    • 6.8.9.1. Key Country Dynamics
    • 6.8.9.2. Regulatory Landscape/Reimbursement Scenario
    • 6.8.9.3. Competitive Insights
    • 6.8.9.4. Norway NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• 6.9. Asia Pacific
  • 6.9.1. Asia Pacific NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.9.2. Japan
    • 6.9.2.1. Key Country Dynamics
    • 6.9.2.2. Regulatory Landscape/Reimbursement Scenario
    • 6.9.2.3. Competitive Insights
    • 6.9.2.4. Japan NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.9.3. China
    • 6.9.3.1. Key Country Dynamics
    • 6.9.3.2. Regulatory Landscape/Reimbursement Scenario
    • 6.9.3.3. Competitive Insights
    • 6.9.3.4. China NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.9.4. India
    • 6.9.4.1. Key Country Dynamics
    • 6.9.4.2. Regulatory Landscape/Reimbursement Scenario
    • 6.9.4.3. Competitive Insights
    • 6.9.4.4. India NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.9.5. Australia
    • 6.9.5.1. Key Country Dynamics
    • 6.9.5.2. Regulatory Landscape/Reimbursement Scenario
    • 6.9.5.3. Competitive Insights
    • 6.9.5.4. Australia NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.9.6. South Korea
    • 6.9.6.1. Key Country Dynamics
    • 6.9.6.2. Regulatory Landscape/Reimbursement Scenario
    • 6.9.6.3. Competitive Insights
    • 6.9.6.4. South Korea NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.9.7. Thailand
    • 6.9.7.1. Key Country Dynamics
    • 6.9.7.2. Regulatory Landscape/Reimbursement Scenario
    • 6.9.7.3. Competitive Insights
    • 6.9.7.4. Thailand NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• 6.10. Latin America
  • 6.10.1. Latin America NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.10.2. Brazil
    • 6.10.2.1. Key Country Dynamics
    • 6.10.2.2. Regulatory Landscape/Reimbursement Scenario
    • 6.10.2.3. Competitive Insights
    • 6.10.2.4. Brazil NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.10.3. Argentina
    • 6.10.3.1. Key Country Dynamics
    • 6.10.3.2. Regulatory Landscape/Reimbursement Scenario
    • 6.10.3.3. Competitive Insights
    • 6.10.3.4. Argentina NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• 6.11. Middle East and Africa
  • 6.11.1. Middle East and Africa NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.11.2. South Africa
    • 6.11.2.1. Key Country Dynamics
    • 6.11.2.2. Regulatory Landscape/Reimbursement Scenario
    • 6.11.2.3. Competitive Insights
    • 6.11.2.4. South Africa NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.11.3. Saudi Arabia
    • 6.11.3.1. Key Country Dynamics
    • 6.11.3.2. Regulatory Landscape/Reimbursement Scenario
    • 6.11.3.3. Competitive Insights
    • 6.11.3.4. Saudi Arabia NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.11.4. UAE
    • 6.11.4.1. Key Country Dynamics
    • 6.11.4.2. Regulatory Landscape/Reimbursement Scenario
    • 6.11.4.3. Competitive Insights
    • 6.11.4.4. UAE NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.11.5. Kuwait
    • 6.11.5.1. Key Country Dynamics
    • 6.11.5.2. Regulatory Landscape/Reimbursement Scenario
    • 6.11.5.3. Competitive Insights
    • 6.11.5.4. Kuwait NLP in Healthcare and Life Sciences Market Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 7. Competitive Landscape

• 7.1. Recent Developments & Impact Analysis by Key Market Participants
• 7.2. Company Categorization
• 7.3. Company Market Share/Position Analysis
• 7.4. Company Heat Map Analysis
• 7.5. Strategy Mapping
  • 7.5.1. Expansion
  • 7.5.2. Mergers & Acquisition
  • 7.5.3. Partnerships & Collaborations
  • 7.5.4. New Technique Launches
  • 7.5.5. Research And Development
• 7.6. Company Profiles
  • 7.6.1. IBM
    • 7.6.1.1. Participant's Overview
    • 7.6.1.2. Financial Performance
    • 7.6.1.3. Technology/Solutions Benchmarking
    • 7.6.1.4. Recent Developments
  • 7.6.2. Microsoft
    • 7.6.2.1. Participant's Overview
    • 7.6.2.2. Financial Performance
    • 7.6.2.3. Technology/Solutions Benchmarking
    • 7.6.2.4. Recent Developments
  • 7.6.3. Google (Alphabet Inc.)
    • 7.6.3.1. Participant's Overview
    • 7.6.3.2. Financial Performance
    • 7.6.3.3. Technology/Solutions Benchmarking
    • 7.6.3.4. Recent Developments
  • 7.6.4. IQVIA
    • 7.6.4.1. Participant's Overview
    • 7.6.4.2. Financial Performance
    • 7.6.4.3. Technology/Solutions Benchmarking
    • 7.6.4.4. Recent Developments
  • 7.6.5. Dolbey Systems, Inc.
    • 7.6.5.1. Participant's Overview
    • 7.6.5.2. Financial Performance
    • 7.6.5.3. Technology/Solutions Benchmarking
    • 7.6.5.4. Recent Developments
  • 7.6.6. Averbis
    • 7.6.6.1. Participant's Overview
    • 7.6.6.2. Financial Performance
    • 7.6.6.3. Technology/Solutions Benchmarking
    • 7.6.6.4. Recent Developments
  • 7.6.7. Press ganey
    • 7.6.7.1. Participant's Overview
    • 7.6.7.2. Financial Performance
    • 7.6.7.3. Technology/Solutions Benchmarking
    • 7.6.7.4. Recent Developments
  • 7.6.8. lexalytics
    • 7.6.8.1. Participant's Overview
    • 7.6.8.2. Financial Performance
    • 7.6.8.3. Technology/Solutions Benchmarking
    • 7.6.8.4. Recent Developments
  • 7.6.9. Clinithink
    • 7.6.9.1. Participant's Overview
    • 7.6.9.2. Financial Performance
    • 7.6.9.3. Technology/Solutions Benchmarking
    • 7.6.9.4. Recent Developments
  • 7.6.10. Hewlett Packard Enterprise
    • 7.6.10.1. Participant's Overview
    • 7.6.10.2. Financial Performance
    • 7.6.10.3. Technology/Solutions Benchmarking
    • 7.6.10.4. Recent Developments
  • 7.6.11. Apixio
    • 7.6.11.1. Participant's Overview
    • 7.6.11.2. Financial Performance
    • 7.6.11.3. Technology/Solutions Benchmarking
    • 7.6.11.4. Recent Developments
  • 7.6.12. Edifecs
    • 7.6.12.1. Participant's Overview
    • 7.6.12.2. Financial Performance
    • 7.6.12.3. Technology/Solutions Benchmarking
    • 7.6.12.4. Recent Developments
  • 7.6.13. JohnSnow Labs
    • 7.6.13.1. Participant's Overview
    • 7.6.13.2. Financial Performance
    • 7.6.13.3. Technology/Solutions Benchmarking
    • 7.6.13.4. Recent Developments
  • 7.6.14. Itrex Group
    • 7.6.14.1. Participant's Overview
    • 7.6.14.2. Financial Performance
    • 7.6.14.3. Technology/Solutions Benchmarking
    • 7.6.14.4. Recent Developments
  • 7.6.15. Itrex Group
    • 7.6.15.1. Participant's Overview
    • 7.6.15.2. Financial Performance
    • 7.6.15.3. Technology/Solutions Benchmarking
    • 7.6.15.4. Recent Developments
  • 7.6.16. CloudMedx
    • 7.6.16.1. Participant's Overview
    • 7.6.16.2. Financial Performance
    • 7.6.16.3. Technology/Solutions Benchmarking
    • 7.6.16.4. Recent Developments
  • 7.6.17. BenevolentAI
    • 7.6.17.1. Participant's Overview
    • 7.6.17.2. Financial Performance
    • 7.6.17.3. Technology/Solutions Benchmarking
    • 7.6.17.4. Recent Developments
  • 7.6.18. Tempus
    • 7.6.18.1. Participant's Overview
    • 7.6.18.2. Financial Performance
    • 7.6.18.3. Technology/Solutions Benchmarking
    • 7.6.18.4. Recent Developments