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表紙：個別化医療における生成AIの市場レポート：2030年までの動向、予測、競合分析
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個別化医療における生成AIの市場レポート：2030年までの動向、予測、競合分析

Generative AI in Personalized Medicine Market Report: Trends, Forecast and Competitive Analysis to 2030
出版日: | 発行: Lucintel | ページ情報: 英文 150 - page report | 納期: 3営業日

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個別化医療における生成AIの市場レポート：2030年までの動向、予測、競合分析
出版日: 2024年01月29日
発行: Lucintel
ページ情報: 英文 150 - page report
納期: 3営業日
ご注意事項 :
本レポートは最新情報反映のため適宜更新し、内容構成変更を行う場合があります。ご検討の際はお問い合わせください。
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  • 概要
  • 目次
概要

個別化医療における生成AI市場の動向と予測

世界の個別化医療における生成AI市場の将来は、病院や診療所、臨床調査、ヘルスケア機関、診断センター市場での機会があり、有望に見えます。世界の個別化医療における生成AI市場は、2024年から2030年にかけて39.5%のCAGRで成長すると予想されています。この市場の主な促進要因は、慢性疾患の有病率の増加、精密医療への傾向の高まり、患者中心のケアに対する需要の高まりです。

個別化医療における生成AI市場の洞察

Lucintelは、クラウドベースはその柔軟性、適応性、アクセスしやすさ、費用対効果の高さにより、予測期間中にさらに高い成長が見込まれると予測しています。

この市場では、効果的な診断と治療計画のニーズの高まりにより、病院と診療所が最も高い成長を遂げると予想されています。

Microsoft、Apple、NvidiaなどAIに投資する主要企業の存在により、北米は予測期間を通じて最大の地域であり続けるでしょう。

よくある質問

Q1.市場の成長予測は：

A1.世界の個別化医療における生成AI市場は、2024年から2030年にかけて39.5%のCAGRで成長すると予想されています。

Q2.個別化医療における生成AI市場の成長に影響を与える主な要因は何ですか：

A2.この市場の主な促進要因は、慢性疾患の有病率の増加、精密医療への傾向の高まり、患者中心のケアに対する需要の高まりです。

Q3.市場の主要セグメントは：

A3.個別化医療における生成AI市場の将来は、病院や診療所、臨床調査、ヘルスケア機関、診断センター市場での機会があり、有望に見えます。

Q4.個別化医療における生成AIの主要な企業はどこですか：

A4.個別化医療における生成AI市場企業の一部は次のとおりです。

  • バタフライネットワーク
  • ディープゲノミクス
  • グーグル
  • IBMワトソン・ヘルス
  • マイクロソフト
  • アイドック
  • インシリコ医学
  • パスAI
  • テンセント・ホールディングス
  • ニューラリンク株式会社

Q5.今後、最大となる市場セグメントは：

A5. Lucintelは、クラウドベースはその柔軟性、適応性、アクセスしやすさ、費用対効果の高さにより、予測期間中にさらに高い成長が見込まれると予測しています。

Q6.市場において、今後5年間に最大になると予想される地域は：

A6. Microsoft、Apple、NvidiaなどAIに投資する主要企業の存在により、北米は予測期間を通じて最大の地域であり続けるでしょう。

Q7.レポートのカスタマイズは可能か：

A7.はい、Lucintelは追加費用なしで10%のカスタマイズを提供します。

目次

第1章 エグゼクティブサマリー

第2章 世界の個別化医療における生成AI市場：市場力学

  • イントロダクション、背景、分類
  • サプライチェーン
  • 業界の促進要因と課題

第3章 2018年から2030年までの市場動向と予測分析

  • マクロ経済動向（2018～2023年）と予測（2024～2030年）
  • 世界の個別化医療における生成AI市場の動向（2018～2023年）と予測（2024～2030年）
  • 導入モデル別の世界の個別化医療における生成AI市場
    • オンプレミス
    • クラウドベース
  • 個別化医療療法による世界の個別化医療における生成AI市場
    • 医薬品
    • ゲノム医療
  • エンドユース別の世界の個別化医療における生成AI市場
    • 病院と診療所
    • 臨床調査
    • ヘルスケア機関
    • 診断センター

第4章 2018年から2030年までの地域別の市場動向と予測分析

  • 地域別の世界の個別化医療における生成AI市場
  • 北米の個別化医療における生成AI市場
  • 欧州の個別化医療における生成AI市場
  • アジア太平洋の個別化医療における生成AI市場
  • その他地域の個別化医療における生成AI市場

第5章 競合の分析

  • 製品ポートフォリオ分析
  • 運用上の統合
  • ポーターのファイブフォース分析

第6章 成長機会と戦略的分析

  • 成長機会分析
    • 導入モデル別の世界の個別化医療における生成AI市場の成長機会
    • 個別化医療療法による世界の個別化医療における生成AI市場の成長機会
    • エンドユース別の世界の個別化医療における生成AI市場の成長機会
    • 地域別の世界の個別化医療における生成AI市場の成長機会
  • 世界の個別化医療における生成AI市場の新たな動向
  • 戦略的分析
    • 新製品の開発
    • 世界の個別化医療における生成AI市場の能力拡大
    • 世界の個別化医療における生成AI市場の合併、買収、合弁事業
    • 認証とライセンシング

第7章 有力企業の企業プロファイル

  • Butterfly Network
  • Deep Genomics
  • Google
  • IBM Watson Health
  • Microsoft Corporation
  • Aidoc
  • Insilico Medicine
  • PathAI
  • Tencent Holdings
  • Neuralink Corporation
目次

Generative AI in Personalized Medicine Trends and Forecast

The future of generative AI in the global personalized medicine market looks promising with opportunities in the hospital and clinic, clinical research, healthcare organization, and diagnostic center markets. Generative AI in the global personalized medicine market is expected to grow with a CAGR of 39.5% from 2024 to 2030. The major drivers for this market are increasing prevalence of chronic diseases, growing inclination towards precision medicine, and rising demand for patient-centered care.

A more than 150-page report is developed to help in your business decisions.

Generative AI in Personalized Medicine by Segment

The study includes a forecast for generative AI in the global personalized medicine by deployment model, personalized medicine therapeutics, end use, and region.

Generative AI in Personalized Medicine Market by Deployment Model [Shipment Analysis by Value from 2018 to 2030]:

  • On-Premise
  • Cloud Based

Generative AI in Personalized Medicine Market by Personalized Medicine Therapeutics [Shipment Analysis by Value from 2018 to 2030]:

  • Pharmaceutical
  • Genomic Medicine

Generative AI in Personalized Medicine Market by End Use [Shipment Analysis by Value from 2018 to 2030]:

  • Hospitals and Clinics
  • Clinical Research
  • Healthcare Organizations
  • Diagnostic Centers

Generative AI in Personalized Medicine Market by Region [Shipment Analysis by Value from 2018 to 2030]:

  • North America
  • Europe
  • Asia Pacific
  • The Rest of the World

List of Generative AI Companies in Personalized Medicine Market

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies generative AI companies in personalized medicine market cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the generative AI comapnies in personalized medicine market are profiled in this report include-

  • Butterfly Network
  • Deep Genomics
  • Google
  • IBM Watson Health
  • Microsoft Corporation
  • Aidoc
  • Insilico Medicine
  • PathAI
  • Tencent Holdings
  • Neuralink Corporation

Generative AI in Personalized Medicine Market Insights

Lucintel forecasts that cloud based is expected to witness the higher growth over the forecast period due to its flexibility, adaptability, accessibility, and cost-effectiveness.

Within this market, hospitals and clinics is expected to witness the highest growth due to the growing need for effective diagnosis and treatment planning.

North America will remain the largest region over the forecast period due to the existence of key players investing in AI, such as Microsoft, Apple, and Nvidia.

Features of the Generative AI in the Global Personalized Medicine Market

Market Size Estimates: Generative AI in personalized medicine market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: Generative AI in personalized medicine market size by deployment model, personalized medicine therapeutics, end use, and region in terms of value ($B).

Regional Analysis: Generative AI in personalized medicine market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different deployment models, personalized medicine therapeutics, end uses, and regions for generative AI in the personalized medicine market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of generative AI in the personalized medicine market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

FAQ

Q1. What is the growth forecast for generative AI in personalized medicine market?

Answer: Generative AI in the global personalized medicine market is expected to grow with a CAGR of 39.5% from 2024 to 2030.

Q2. What are the major drivers influencing the growth of generative AI in personalized medicine market?

Answer: The major drivers for this market are increasing prevalence of chronic diseases, growing inclination towards precision medicine, and rising demand for patient-centered care.

Q3. What are the major segments for generative AI in personalized medicine market?

Answer: The future of the generative AI in personalized medicine market looks promising with opportunities in the hospital and clinic, clinical research, healthcare organization, and diagnostic center markets.

Q4. Who are the key generative AI companies in personalized medicine market?

Answer: Some of the key generative AI companies in personalized medicine market are as follows:

  • Butterfly Network
  • Deep Genomics
  • Google
  • IBM Watson Health
  • Microsoft Corporation
  • Aidoc
  • Insilico Medicine
  • PathAI
  • Tencent Holdings
  • Neuralink Corporation

Q5. Which generative AI in personalized medicine market segment will be the largest in future?

Answer: Lucintel forecasts that cloud based is expected to witness the higher growth over the forecast period due to its flexibility, adaptability, accessibility, and cost-effectiveness.

Q6. In generative AI in personalized medicine market, which region is expected to be the largest in next 5 years?

Answer: North America will remain the largest region over the forecast period due to the existence of key players investing in AI, such as Microsoft, Apple, and Nvidia.

Q7. Do we receive customization in this report?

Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

  • Q.1. What are some of the most promising, high-growth opportunities for generative AI in the personalized medicine market by deployment model (on-premise and cloud based), personalized medicine therapeutics (pharmaceutical and genomic medicine), end use (hospitals and clinics, clinical research, healthcare organizations, and diagnostic centers), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
  • Q.2. Which segments will grow at a faster pace and why?
  • Q.3. Which region will grow at a faster pace and why?
  • Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
  • Q.5. What are the business risks and competitive threats in this market?
  • Q.6. What are the emerging trends in this market and the reasons behind them?
  • Q.7. What are some of the changing demands of customers in the market?
  • Q.8. What are the new developments in the market? Which companies are leading these developments?
  • Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
  • Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
  • Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Generative AI in the Global Personalized Medicine Market: Market Dynamics

  • 2.1: Introduction, Background, and Classifications
  • 2.2: Supply Chain
  • 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2018 to 2030

  • 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
  • 3.2. Generative AI in the Global Personalized Medicine Market Trends (2018-2023) and Forecast (2024-2030)
  • 3.3: Generative AI in the Global Personalized Medicine Market by Deployment Model
    • 3.3.1: On-premise
    • 3.3.2: Cloud Based
  • 3.4: Generative AI in the Global Personalized Medicine Market by Personalized Medicine Therapeutics
    • 3.4.1: Pharmaceutical
    • 3.4.2: Genomic Medicine
  • 3.5: Generative AI in the Global Personalized Medicine Market by End Use
    • 3.5.1: Hospitals and Clinics
    • 3.5.2: Clinical Research
    • 3.5.3: Healthcare Organizations
    • 3.5.4: Diagnostic Centers

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

  • 4.1: Generative AI in the Global Personalized Medicine Market by Region
  • 4.2: Generative AI in the North American Personalized Medicine Market
    • 4.2.2: Generative AI in the North American Personalized Medicine Market by End Use: Hospitals and Clinics, Clinical Research, Healthcare Organizations, and Diagnostic Centers
  • 4.3: Generative AI in the European Personalized Medicine Market
    • 4.3.1: Generative AI in the European Personalized Medicine Market by Deployment Model: On-premise and Cloud Based
    • 4.3.2: Generative AI in the European Personalized Medicine Market by End Use: Hospitals and Clinics, Clinical Research, Healthcare Organizations, and Diagnostic Centers
  • 4.4: Generative AI in the APAC Personalized Medicine Market
    • 4.4.1: Generative AI in the APAC Personalized Medicine Market by Deployment Model: On-premise and Cloud Based
    • 4.4.2: Generative AI in the APAC Personalized Medicine Market by End Use: Hospitals and Clinics, Clinical Research, Healthcare Organizations, and Diagnostic Centers
  • 4.5: Generative AI in the ROW Personalized Medicine Market
    • 4.5.1: Generative AI in the ROW Personalized Medicine Market by Deployment Model: On-premise and Cloud Based
    • 4.5.2: Generative AI in the ROW Personalized Medicine Market by End Use: Hospitals and Clinics, Clinical Research, Healthcare Organizations, and Diagnostic Centers

5. Competitor Analysis

  • 5.1: Product Portfolio Analysis
  • 5.2: Operational Integration
  • 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

  • 6.1: Growth Opportunity Analysis
    • 6.1.1: Growth Opportunities for Generative AI in the Global Personalized Medicine Market by Deployment Model
    • 6.1.2: Growth Opportunities for Generative AI in the Global Personalized Medicine Market by Personalized Medicine Therapeutics
    • 6.1.3: Growth Opportunities for Generative AI in the Global Personalized Medicine Market by End Use
    • 6.1.4: Growth Opportunities for Generative AI in the Global Personalized Medicine Market by Region
  • 6.2: Emerging Trends of Generative AI in the Global Personalized Medicine Market
  • 6.3: Strategic Analysis
    • 6.3.1: New Product Development
    • 6.3.2: Capacity Expansion of Generative AI in the Global Personalized Medicine Market
    • 6.3.3: Mergers, Acquisitions, and Joint Ventures of Generative AI in the Global Personalized Medicine Market
    • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

  • 7.1: Butterfly Network
  • 7.2: Deep Genomics
  • 7.3: Google
  • 7.4: IBM Watson Health
  • 7.5: Microsoft Corporation
  • 7.6: Aidoc
  • 7.7: Insilico Medicine
  • 7.8: PathAI
  • 7.9: Tencent Holdings
  • 7.10: Neuralink Corporation