| 出版社 | MarketsandMarkets |
| 出版年月 | 2025年5月 |
NLP in Healthcare & Life Sciences Market – Global Forecast To 2030
本調査レポートでは、ヘルスケアとライフサイエンス市場におけるNLPを、提供内容（ソフトウェアおよびサービス）、導入形態（クラウドおよびオンプレミス）、NLPの種類（自然言語理解（NLU）および自然言語生成（NLG））、NLP技術（光学式文字認識（OCR）、固有表現抽出（NER）、感情分析、テキスト分類、トピックモデリング、テキスト要約、その他のNLP技術）、用途（患者ケアおよびエンゲージメント、臨床業務および意思決定支援、バイオメディカル研究および医薬品開発、管理および運用管理、ゲノミクスおよび精密医療、医療教育および知識普及、その他の用途）、エンドユーザー（企業（臨床開業医、医療研究者、医療管理者、健康保険および保険支払専門家、製薬およびバイオテクノロジー企業、その他のエンドユーザー）、地域（北米、ヨーロッパ、アジア太平洋、中東およびアフリカ、ラテンアメリカ）に基づいて分類しています。
The NLP in healthcare & life sciences market is expanding rapidly, with a projected market size rising from USD 5.18 billion in 2025 to USD 16.01 billion by 2030, at a CAGR of 25.3% during the forecast period. The substantial increase in unstructured clinical data, including electronic health records, physician notes, and pathology reports, drives the demand for NLP technologies to derive actionable insights. Simultaneously, clinical decision support is gaining importance, with NLP enabling real-time diagnostics and treatment recommendations in precision medicine. However, outdated IT systems can be incompatible with modern NLP tools, posing integration and interoperability challenges. As healthcare systems modernize, NLP is poised to become a cornerstone of data-driven, personalized care delivery.
ヘルスケアとライフサイエンス市場におけるNLPは急速に拡大しており、市場規模は2025年の51億8,000万米ドルから2030年には160億1,000万米ドルに拡大すると予測されています。予測期間中の年平均成長率（CAGR）は25.3%です。電子カルテ、医師の診断書、病理報告書など、非構造化臨床データの大幅な増加により、実用的な洞察を導き出すNLP技術の需要が高まっています。同時に、臨床意思決定支援の重要性が高まっており、NLPは精密医療におけるリアルタイムの診断と治療推奨を可能にします。しかし、時代遅れのITシステムは最新のNLPツールと互換性がない場合があり、統合と相互運用性の課題が生じています。ヘルスケアシステムの近代化に伴い、NLPはデータ主導型の個別化ケア提供の基盤となることが期待されています。
The report includes a study of key players offering NLP in healthcare & life sciences. It profiles major vendors in the NLP in healthcare & life sciences market. The major market players include Microsoft (US), Google (US), IBM (US), AWS (US), IQVIA (US), Oracle (US), Inovalon (US), Dolbey Systems (US), Averbis (Germany), SAS Institute (US), Solventum (US), Press Ganey (US), Ellipsis Health (US), Lexalytics (US), NVIDIA (US), GE Healthcare (US), Clinithink (US), HPE (US), Oncora Medical (US), Flatiron Health (US), Datavant (US), Edifecs (US), John Snow Labs (US), ITRex Group (US), KMS Healthcare (US), Appinventiv (India), Reveal HealthTech (US), Veritis (US), Optum (US), Health Catalyst (US), AMBOSS (Germany), Maruti Techlabs (India), DeepScribe (US), ForeSee Medical (US), Gnani.ai (India), Notable Health (US), Biofourmis (US), Suki AI (US), Wave Health Technologies (US), Corti (Denmark), CloudMex (US), Emtelligent (Canada), Enlitic (US), and Deep 6 AI (US).
healthcare-lifesciences-nlp-market-ecosystem
The report provides insights on the following pointers:
- Analysis of key drivers (NLP makes EHR data actionable by extracting insights from text and large datasets, enhanced decision-making by analyzing complex, unstructured clinical data and supports predictive analytics to identify trends and reduce risks).), restraints (Legacy IT systems hinder compatibility with modern NLP tools and high deployment costs and need for skilled personnel) ), opportunities (Real-time, personalized clinical decision support from diverse data, AI assistants streamlines patient engagement and documentation and multilingual translation improves global healthcare access)), and challenges (Integration with existing workflows requires major adjustments and lack of standardized frameworks for validating NLP effectiveness)).
- Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the NLP in healthcare & life sciences market.
- Market Development: Comprehensive information about lucrative markets – the report analyzes the NLP in healthcare & life sciences market across varied regions.
- Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the NLP in healthcare & life sciences market.
- Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players like Microsoft (US), Google (US), IBM (US), AWS (US), IQVIA (US), Oracle (US), Inovalon (US), Dolbey Systems (US), Averbis (Germany), SAS Institute (US), Solventum (US), Press Ganey (US), Ellipsis Health (US), Lexalytics (US), NVIDIA (US), GE Healthcare (US), Clinithink (US), HPE (US), Oncora Medical (US), Flatiron Health (US), Datavant (US), Edifecs (US), John Snow Labs (US), ITRex Group (US), KMS Healthcare (US), Appinventiv (India), Reveal HealthTech (US), Veritis (US), Optum (US), Health Catalyst (US), AMBOSS (Germany), Maruti Techlabs (India), DeepScribe (US), ForeSee Medical (US), Gnani.ai (India), Notable Health (US), Biofourmis (US), Suki AI (US), Wave Health Technologies (US), Corti (Denmark), CloudMex (US), Emtelligent (Canada), Enlitic (US), and Deep 6 AI (US). The report also helps stakeholders understand the pulse of the NLP in healthcare & life sciences market and provides them with information on key market drivers, restraints, challenges, and opportunities.