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个人化医疗市场中的产生人工智慧报告：到 2030 年的趋势、预测和竞争分析
市场调查报告书
商品编码
1416291

个人化医疗市场中的产生人工智慧报告：到 2030 年的趋势、预测和竞争分析

Generative AI in Personalized Medicine Market Report: Trends, Forecast and Competitive Analysis to 2030
出版日期: | 出版商: Lucintel | 英文 150 - page report | 商品交期: 3个工作天内

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简介目录

个人化医疗的生成人工智慧市场趋势与预测

全球生成式人工智慧在个人化医疗市场的未来看起来充满希望，医院和诊所、临床研究、医疗机构和诊断中心市场都充满机会。预计 2024 年至 2030 年，全球个人化医疗市场中的生成人工智慧将以 39.5% 的复合年增长率成长。该市场的主要驱动因素是慢性病盛行率不断上升、精准医疗趋势不断增长以及以患者为中心的照护需求不断增长。

个人化医疗中的生成人工智慧市场洞察

Lucintel 预测，由于其弹性、适应性、可近性和成本效益，云端基础将在预测期内实现更高的成长。

由于对有效诊断和治疗计划的需求不断增长，医院和诊所预计将见证该市场的最高成长。

由于微软、苹果和英伟达等投资人工智慧的主要企业的存在，北美在整个预测期内仍将是最大的地区。

常问问题

Q1.市场成长预测是多少：

A1. 个人化医疗的全球生成人工智慧市场预计从 2024 年到 2030 年将以 39.5% 的复合年增长率成长。

Q2. 影响个人化医疗市场中产生人工智慧成长的关键因素有哪些：

A2. 该市场的主要驱动力是慢性病患病率的增加、精准医疗的趋势不断增长以及对以患者为中心的护理的需求不断增长。

Q3.市场的主要细分市场是：

A3. 个人化医疗市场中的生成人工智慧前景广阔，在医院和诊所、临床研究、医疗机构和诊断中心市场都有机会。

Q4. 个人化医疗领域的生成人工智慧主要公司有哪些？

A4. 个人化医疗市场中的一些生成人工智慧公司是：

  • 蝴蝶网络
  • 深度基因体学
  • Google
  • IBM 沃森健康
  • 微软
  • 伊多克
  • In Silico医学
  • 路径人工智慧
  • 腾讯控股
  • 纽瑞林克有限公司

Q5.未来最大的细分市场是什么？

A5.Lucintel 预计，由于其弹性、适应性、可访问性和成本效益，云端基础将在预测期内实现更高的成长。

Q6.未来五年预计哪些地区的市场成长最大？

A6. 由于微软、苹果和英伟达等投资人工智慧的主要企业的存在，北美在整个预测期内仍将是最大的地区。

Q7. 可以客製化报告吗？

A7。

目录

第一章执行摘要

第二章个人化医疗中的全球生成人工智慧市场：市场动态

  • 简介、背景、分类
  • 供应链
  • 产业驱动因素与挑战

第三章 2018-2030年市场趋势及预测分析

  • 宏观经济趋势（2018-2023）与预测（2024-2030）
  • 全球个人化医疗生成人工智慧市场趋势（2018-2023）与预测（2024-2030）
  • 按实施模型分類的个人化医疗全球生成人工智慧市场
    • 本地
    • 云端基础
  • 透过个人化医疗治疗的全球个人化医疗的生成人工智慧市场
    • 药品
    • 基因组医学
  • 全球个人化医疗生成人工智慧市场（按最终用途）
    • 医院和诊所
    • 临床调查
    • 医疗机构
    • 诊断中心

第四章 2018-2030年区域市场趋势及预测分析

  • 全球个人化医疗生成人工智慧市场（按地区）
  • 北美个人化医疗的生成人工智慧市场
  • 欧洲个人化医疗的生成人工智慧市场
  • 亚太地区个人化医疗的生成人工智慧市场
  • 其他地区个人化医疗的生成人工智慧市场

第五章 竞争分析

  • 产品系列分析
  • 营运整合
  • 波特五力分析

第六章 成长机会与策略分析

  • 成长机会分析
    • 全球个人化医疗生成人工智慧市场成长机会（按部署模型）
    • 全球个人化医疗和个人化医疗疗法的生成人工智慧市场的成长机会
    • 全球生成人工智慧在个人化医疗市场的成长机会（以最终用途）
    • 全球个人化医疗生成人工智慧市场成长机会（按地区）
  • 全球个人化医疗生成人工智慧市场新趋势
  • 战略分析
    • 新产品开发
    • 扩大全球个人化医疗生成人工智慧市场的容量
    • 全球个人化医疗生成人工智慧市场的併购和合资企业
    • 认证和许可

第七章主要企业概况

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

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