查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1527325

全球產生人工智慧醫療保健市場規模研究，按應用程式（治療、診斷、藥物發現、研究）、最終用戶（醫院和診所、醫療保健組織等）以及 2022-2032 年區域預測

Global Generative AI in Healthcare Market Size study, by Application (Treatment, Diagnosis, Drug Discovery, Research), by End User (Hospitals and Clinics, Healthcare Organizations, Others), and Regional Forecasts 2022-2032
出版日期: | 出版商: Bizwit Research & Consulting LLP | 英文 285 Pages | 商品交期: 2-3個工作天內

價格
簡介目錄

醫療保健市場中的全球生成人工智慧到 2023 年價值約為 21.6 億美元，預計在 2024 年至 2032 年的預測期內將以 34.98% 的複合年成長率成長。醫療保健領域的生成人工智慧 (AI) 代表了創新前沿，利用先進的深度學習演算法來產生有價值的輸出，例如醫學影像、文字摘要和新型藥物化合物。該技術在加強患者護理、加速研究和簡化營運效率方面顯示出了變革潛力。特別是，生成式人工智慧在自然語言處理方面表現出色，透過總結和解釋大量臨床文獻來幫助醫療保健專業人員，從而使他們了解最新的研究進展。此外，人工智慧驅動的藥物發現徹底改變了潛在藥物化合物的識別，顯著縮短了開發新療法的時間。

全球醫療保健市場中的生成式人工智慧是由生成式人工智慧技術在醫學影像分析中的迅速採用所推動的，其在藥物發現和開發中的不可或缺的作用是市場成長的關鍵驅動力。這項先進技術利用複雜的演算法和機器學習模型來產生高品質的醫學影像，增強影像解析度，並協助各種醫療狀況的早期檢測和診斷。生成式人工智慧提高醫學影像分析的準確性和效率的能力正在改變診斷實​​踐，使醫療保健專業人員能夠做出更明智的決策並提供更好的患者護理。此外，生成式人工智慧在醫療保健中的整合正在促進個人化醫療、預測分析和治療計劃的創新，進一步推動市場擴張。此外，在醫院工作流程管理系統中部署生成式人工智慧有望促進市場擴張。然而，與資料隱私和安全相關的挑戰對生成式人工智慧在醫療保健領域的廣泛實施構成了重大障礙。

全球生成人工智慧醫療保健市場研究涵蓋的關鍵區域包括亞太地區、北美、歐洲、拉丁美洲和世界其他地區。 2023 年，北美憑藉其強大的醫療基礎設施和主要行業參與者的強大影響力，佔據了市場佔有率。此外，在有利的政府措施和龐大的患者群體的推動下，預計亞太地區在預測期內將出現最快的成長。

本報告中介紹的主要市場參與者包括

辛特格拉

微軟

Abridge人工智慧公司

谷歌有限責任公司

IBM 沃森健康公司

InSilico 醫學

英偉達公司

亞馬遜

甲骨文

開放人工智慧公司

目錄

第 1 章：醫療保健市場中的全球生成式人工智慧執行摘要

  • 全球生成式人工智慧在醫療保健市場規模及預測（2022-2032）
  • 區域概要
  • 分部摘要
    • 按申請
    • 按最終用戶
  • 主要趨勢
  • 經濟衰退的影響
  • 分析師推薦與結論

第 2 章：全球醫療保健市場產生人工智慧的定義與研究假設

  • 研究目的
  • 市場定義
  • 研究假設
    • 包容與排除
    • 限制
    • 供給側分析
      • 可用性
      • 基礎設施
      • 監管環境
      • 市場競爭
      • 經濟可行性（消費者的角度）
    • 需求面分析
      • 監理框架
      • 技術進步
      • 環境考慮
      • 消費者意識和接受度
  • 估算方法
  • 研究涵蓋的年份
  • 貨幣兌換率

第 3 章：醫療保健市場動態中的全球生成式人工智慧

  • 市場促進因素
    • 越來越多採用人工智慧進行醫學影像分析
    • 人工智慧驅動的藥物發現過程的興起
    • 透過人工智慧增強醫院工作流程管理
  • 市場挑戰
    • 資料隱私和安全問題
    • 實施成本高
  • 市場機會
    • 人工智慧研究投資不斷增加
    • 新興市場擴張
    • 人工智慧技術進步

第 4 章：全球醫療保健市場生成式人工智慧產業分析

  • 波特的五力模型
    • 供應商的議價能力
    • 買家的議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭競爭
    • 波特五力模型的未來方法
    • 波特的 5 力影響分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社會的
    • 技術性
    • 環境的
    • 合法的
  • 頂級投資機會
  • 最佳制勝策略
  • 顛覆性趨勢
  • 產業專家視角
  • 分析師推薦與結論

第 5 章：全球醫療保健市場產生人工智慧市場規模與預測：按應用分類 - 2022-2032

  • 細分儀表板
  • 全球醫療保健市場生成式人工智慧：2022 年和 2032 年應用收入趨勢分析
    • 治療
    • 診斷
    • 藥物發現
    • 研究

第 6 章：全球醫療保健市場生成人工智慧市場規模和預測：按最終用戶分類 - 2022-2032

  • 細分儀表板
  • 醫療保健市場的全球生成式人工智慧：2022 年和 2032 年最終用戶收入趨勢分析
    • 醫院和診所
    • 醫療機構
    • 其他

第 7 章：全球醫療保健市場產生人工智慧市場規模與預測：按地區 - 2022-2032

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 西班牙
    • 義大利
    • 歐洲其他地區
  • 亞太
    • 中國
    • 印度
    • 日本
    • 澳洲
    • 韓國
    • 亞太地區其他地區
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 拉丁美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 南非
    • 中東和非洲其他地區

第 8 章：競爭情報

  • 重點企業SWOT分析
  • 頂級市場策略
  • 公司簡介
    • Syntegra
      • 關鍵訊息
      • 概述
      • 財務（視數據可用性而定）
      • 產品概要
      • 市場策略
    • Microsoft
    • Abridge AI Inc.
    • Google LLC
    • IBM Watson Health Corporation
    • InSilico Medicine
    • NVIDIA Corporation
    • Amazon
    • Oracle
    • Open AI Inc.

第 9 章：研究過程

  • 研究過程
    • 資料探勘
    • 分析
    • 市場預測
    • 驗證
    • 出版
  • 研究屬性
簡介目錄

Global Generative AI in Healthcare Market, valued at approximately USD 2.16 billion in 2023, is anticipated to grow with an impressive CAGR of 34.98% over the forecast period 2024-2032. Generative artificial intelligence (AI) in healthcare represents a frontier of innovation, utilizing advanced deep learning algorithms to produce valuable outputs such as medical images, textual summaries, and novel drug compounds. This technology has shown transformative potential in enhancing patient care, accelerating research, and streamlining operational efficiencies. In particular, generative AI excels in natural language processing, assisting healthcare professionals by summarizing and interpreting extensive clinical literature, thereby keeping them abreast of the latest research developments. Additionally, AI-driven drug discovery has revolutionized the identification of potential pharmaceutical compounds, significantly reducing the timeline for developing new treatments and therapies.

The Global Generative AI in Healthcare Market is driven by burgeoning adoption of generative AI technology for medical image analysis and its integral role in drug discovery and development are pivotal drivers of market growth. This advanced technology leverages sophisticated algorithms and machine learning models to generate high-quality medical images, enhance image resolution, and assist in the early detection and diagnosis of various medical conditions. The ability of generative AI to improve the accuracy and efficiency of medical image analysis is transforming diagnostic practices, enabling healthcare professionals to make more informed decisions and provide better patient care. Additionally, the integration of generative AI in healthcare is fostering innovations in personalized medicine, predictive analytics, and treatment planning, further propelling market expansion. Furthermore, the deployment of generative AI in hospital workflow management systems is poised to enhance market expansion. However, challenges related to data privacy and security present significant obstacles to the widespread implementation of generative AI in healthcare.

The key regions considered for Global Generative AI in Healthcare Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. In 2023, North America dominated the market share, attributed to its robust healthcare infrastructure and the strong presence of key industry players. Furthermore, the Asia-Pacific region is projected to witness the fastest growth during the forecast period, driven by favorable government initiatives and a large patient population base.

Major market players featured in this report include

Syntegra

Microsoft

Abridge AI Inc.

Google LLC

IBM Watson Health Corporation

InSilico Medicine

NVIDIA Corporation

Amazon

Oracle

Open AI Inc

The detailed segments and sub-segment of the market are explained below:

By Application

  • Treatment
  • Diagnosis
  • Drug Discovery
  • Research

By End User

  • Hospitals and Clinics
  • Healthcare Organizations
  • Others

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • ROE
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • RoAPAC
  • Latin America
  • Brazil
  • Mexico
  • RoLA
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • RoMEA

Years considered for the study are as follows:

  • Historical year - 2022
  • Base year - 2023
  • Forecast period - 2024 to 2032

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2022 to 2032.
  • Annualized revenues and regional level analysis for each market segment.
  • Detailed analysis of geographical landscape with Country level analysis of major regions.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations on future market approach.
  • Analysis of competitive structure of the market.
  • Demand side and supply side analysis of the market

Table of Contents

Chapter 1. Global Generative AI in Healthcare Market Executive Summary

  • 1.1. Global Generative AI in Healthcare Market Size & Forecast (2022-2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. By Application
    • 1.3.2. By End User
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Generative AI in Healthcare Market Definition and Research Assumptions

  • 2.1. Research Objective
  • 2.2. Market Definition
  • 2.3. Research Assumptions
    • 2.3.1. Inclusion & Exclusion
    • 2.3.2. Limitations
    • 2.3.3. Supply Side Analysis
      • 2.3.3.1. Availability
      • 2.3.3.2. Infrastructure
      • 2.3.3.3. Regulatory Environment
      • 2.3.3.4. Market Competition
      • 2.3.3.5. Economic Viability (Consumer's Perspective)
    • 2.3.4. Demand Side Analysis
      • 2.3.4.1. Regulatory frameworks
      • 2.3.4.2. Technological Advancements
      • 2.3.4.3. Environmental Considerations
      • 2.3.4.4. Consumer Awareness & Acceptance
  • 2.4. Estimation Methodology
  • 2.5. Years Considered for the Study
  • 2.6. Currency Conversion Rates

Chapter 3. Global Generative AI in Healthcare Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Increasing adoption of AI for medical image analysis
    • 3.1.2. Rise in AI-driven drug discovery processes
    • 3.1.3. Enhanced hospital workflow management through AI
  • 3.2. Market Challenges
    • 3.2.1. Data privacy and security concerns
    • 3.2.2. High implementation costs
  • 3.3. Market Opportunities
    • 3.3.1. Growing investments in AI research
    • 3.3.2. Expansion in emerging markets
    • 3.3.3. Technological advancements in AI

Chapter 4. Global Generative AI in Healthcare Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
    • 4.1.6. Futuristic Approach to Porter's 5 Force Model
    • 4.1.7. Porter's 5 Force Impact Analysis
  • 4.2. PESTEL Analysis
    • 4.2.1. Political
    • 4.2.2. Economical
    • 4.2.3. Social
    • 4.2.4. Technological
    • 4.2.5. Environmental
    • 4.2.6. Legal
  • 4.3. Top investment opportunity
  • 4.4. Top winning strategies
  • 4.5. Disruptive Trends
  • 4.6. Industry Expert Perspective
  • 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Generative AI in Healthcare Market Size & Forecasts by Application 2022-2032

  • 5.1. Segment Dashboard
  • 5.2. Global Generative AI in Healthcare Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 5.2.1. Treatment
    • 5.2.2. Diagnosis
    • 5.2.3. Drug Discovery
    • 5.2.4. Research

Chapter 6. Global Generative AI in Healthcare Market Size & Forecasts by End User 2022-2032

  • 6.1. Segment Dashboard
  • 6.2. Global Generative AI in Healthcare Market: End User Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 6.2.1. Hospitals and Clinics
    • 6.2.2. Healthcare Organizations
    • 6.2.3. Others

Chapter 7. Global Generative AI in Healthcare Market Size & Forecasts by Region 2022-2032

  • 7.1. North America Generative AI in Healthcare Market
    • 7.1.1. U.S. Generative AI in Healthcare Market
      • 7.1.1.1. Application breakdown size & forecasts, 2022-2032
      • 7.1.1.2. End User breakdown size & forecasts, 2022-2032
    • 7.1.2. Canada Generative AI in Healthcare Market
  • 7.2. Europe Generative AI in Healthcare Market
    • 7.2.1. U.K. Generative AI in Healthcare Market
    • 7.2.2. Germany Generative AI in Healthcare Market
    • 7.2.3. France Generative AI in Healthcare Market
    • 7.2.4. Spain Generative AI in Healthcare Market
    • 7.2.5. Italy Generative AI in Healthcare Market
    • 7.2.6. Rest of Europe Generative AI in Healthcare Market
  • 7.3. Asia-Pacific Generative AI in Healthcare Market
    • 7.3.1. China Generative AI in Healthcare Market
    • 7.3.2. India Generative AI in Healthcare Market
    • 7.3.3. Japan Generative AI in Healthcare Market
    • 7.3.4. Australia Generative AI in Healthcare Market
    • 7.3.5. South Korea Generative AI in Healthcare Market
    • 7.3.6. Rest of Asia Pacific Generative AI in Healthcare Market
  • 7.4. Latin America Generative AI in Healthcare Market
    • 7.4.1. Brazil Generative AI in Healthcare Market
    • 7.4.2. Mexico Generative AI in Healthcare Market
    • 7.4.3. Rest of Latin America Generative AI in Healthcare Market
  • 7.5. Middle East & Africa Generative AI in Healthcare Market
    • 7.5.1. Saudi Arabia Generative AI in Healthcare Market
    • 7.5.2. South Africa Generative AI in Healthcare Market
    • 7.5.3. Rest of Middle East & Africa Generative AI in Healthcare Market

Chapter 8. Competitive Intelligence

  • 8.1. Key Company SWOT Analysis
  • 8.2. Top Market Strategies
  • 8.3. Company Profiles
    • 8.3.1. Syntegra
      • 8.3.1.1. Key Information
      • 8.3.1.2. Overview
      • 8.3.1.3. Financial (Subject to Data Availability)
      • 8.3.1.4. Product Summary
      • 8.3.1.5. Market Strategies
    • 8.3.2. Microsoft
    • 8.3.3. Abridge AI Inc.
    • 8.3.4. Google LLC
    • 8.3.5. IBM Watson Health Corporation
    • 8.3.6. InSilico Medicine
    • 8.3.7. NVIDIA Corporation
    • 8.3.8. Amazon
    • 8.3.9. Oracle
    • 8.3.10. Open AI Inc.

Chapter 9. Research Process

  • 9.1. Research Process
    • 9.1.1. Data Mining
    • 9.1.2. Analysis
    • 9.1.3. Market Estimation
    • 9.1.4. Validation
    • 9.1.5. Publishing
  • 9.2. Research Attributes