封面
市场调查报告书
商品编码
1888083

2025年全球药物重定位人工智慧市场报告

Artificial Intelligence In Drug Repurposing Global Market Report 2025

出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

价格
简介目录

近年来,人工智慧在药物重定位领域的市场规模迅速扩张,预计将从2024年的8.7亿美元成长到2025年的10.5亿美元,复合年增长率达20.5%。这一增长归因于慢性病和罕见疾病病例的增加、研发投入的增加、监管支持的加强、医疗保健成本的上升以及製药公司与人工智慧公司之间合作的加强等因素。

预计未来几年,人工智慧在药物重定位领域的市场规模将呈指数级增长,到2029年将达到21.9亿美元,复合年增长率(CAGR)为20.2%。预测期内的成长要素包括:对经济高效的药物开发需求不断增长、基于人工智慧的预测分析得到广泛应用、疾病复杂性日益增加、云端基础设施的普及以及现有已获认证核可药的再利用机会不断增加。预测期内的关键趋势包括:机器学习和生成式人工智慧应用的创新、预测建模和数据分析的进步、用于假设生成的大规模语言模型的技术进步、云端基础的人工智慧药物发现平台的创新以及多体学数据整合系统的技术改进。

未来几年,精准医疗需求的不断增长预计将推动人工智慧在药物重定位领域的市场发展。精准医疗是一种基于个人独特基因、行为和环境来客製化疾病预防和治疗方案的医疗方法。随着患者和医疗服务提供者越来越倾向于根据个体的基因特征和生活方式量身定制治疗方案,以提高疗效并减少副作用,个人化治疗的日益普及正在推动精准医疗的扩张。人工智慧在药物重定位领域的治疗方法,透过识别与个别基因和分子特征相符的现有药物,为精准医疗提供支持,从而实现更精准、更个人化的治疗方案。例如,根据美国非营利组织个人化医疗联盟(Personalized Medicine Coalition)的数据显示,截至2024年2月,美国食品药物管理局(FDA)在2023年核准了16种针对罕见疾病的个人化治疗方案,较2022年的6种核准增加。因此,精准医疗需求的不断增长正在推动人工智慧在药物重定位领域的市场发展。

在药物重定位人工智慧市场中,主要企业致力于将先进技术整合到药物重定位领域,例如电脑辅助药物重定位系统。该系统透过对文献和生物资讯进行数据驱动分析,系统地识别现有药物的新治疗适应症。电脑辅助药物重定位系统是一个技术平台,它利用人工智慧、机器学习和资料探勘技术,系统地分析现有药物、化合物和生物资料。例如,2023年11月,总部位于美国的基于人工智慧的精准医疗解决方案提供商Tempus宣布与总部位于美国的临床阶段生物技术公司Recursion达成一项价值高达1.6亿美元的多年战略合作协议。透过此次合作,Recursion将获得Tempus庞大的匿名化多模态肿瘤资料资料库,以支援主导生物标记的治疗开发。透过将 Tempus 的大型患者资料集与 Recursion 的人工智慧驱动的药物发现能力相结合,该伙伴关係将加强肿瘤学领域的药物重新定位倡议,展示先进的计算平台和真实世界临床数据的融合如何加速发现新的治疗机会。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场:宏观经济情景,包括利率、通货膨胀、地缘政治、贸易战和关税,以及新冠疫情及其復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球人工智慧(AI)赋能药物重定位市场:PESTEL分析(政治、社会、技术、环境、法律因素、驱动因素和限制因素)
  • 终端用户产业分析
  • 全球人工智慧药物重定位市场:成长率分析
  • 全球人工智慧药物重定位市场表现:规模与成长,2019-2024年
  • 全球人工智慧药物重定位市场预测:规模与成长,2024-2029年,2034年
  • 全球人工智慧(AI)赋能药物重定位市场:潜在市场规模(TAM)

第六章 市场细分

  • 全球药物重定位人工智慧市场:按组件、性能和预测划分,2019-2024年、2024-2029年、2034年
  • 软体和平台
  • 服务
  • 全球人工智慧药物重定位市场:依技术、效能和预测划分,2019-2024年、2024-2029年、2034年
  • 机器学习或深度学习
  • 自然语言处理(NLP)
  • 知识图谱和基于网路的人工智慧
  • 生成式人工智慧和大规模语言模型(LLM)
  • 电脑视觉
  • 全球人工智慧药物重定位市场:部署、效能与预测(2019-2024年、2024-2029年、2034年)
  • 云端基础的
  • 本地部署
  • 全球药物重定位人工智慧市场依治疗领域划分,表现及预测(2019-2024年、2024-2029年、2034年)
  • 肿瘤学
  • 神经病学
  • 心血管疾病
  • 感染疾病
  • 免疫学
  • 代谢性疾病
  • 罕见疾病
  • 全球人工智慧药物重定位市场(依最终用户、效能和预测划分,2019-2024年、2024-2029年、2034年)
  • 製药和生物技术公司
  • 受託研究机构(CRO)
  • 学术研究机构
  • 医疗保健提供者
  • 其他的
  • 全球药物重定位人工智慧市场:软体和平台细分、按类型划分、实际结果和预测(2019-2024 年、2024-2029 年、2034 年)
  • 预测分析工具
  • 机器学习框架
  • 数据整合系统
  • 药物发现平台
  • 临床试验模拟工具
  • 全球药物重定位人工智慧市场:服务细分、按类型划分、实际结果和预测(2019-2024年、2024-2029年、2034年)
  • 咨询服务
  • 资料管理服务
  • 模型训练与优化服务
  • 实施和整合服务
  • 支援和维护服务

第七章 区域和国家分析

  • 全球人工智慧药物重定位市场:按地区、绩效和预测划分,2019-2024年、2024-2029年、2034年
  • 全球人工智慧药物重定位市场:按国家、绩效和预测(2019-2024 年、2024-2029 年、2034 年)

第八章 亚太市场

第九章:中国市场

第十章 印度市场

第十一章 日本市场

第十二章:澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章:西欧市场

第十六章英国市场

第十七章:德国市场

第十八章:法国市场

第十九章:义大利市场

第二十章:西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章:加拿大市场

第26章 南美洲市场

第27章:巴西市场

第28章 中东市场

第29章:非洲市场

第三十章:竞争格局与公司概况

  • 人工智慧在药物重定位市场的应用:竞争格局
  • 人工智慧在药物重定位市场的应用:公司概况
    • IBM Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Evogene Ltd. Overview, Products and Services, Strategy and Financial Analysis
    • Ginkgo Bioworks Holdings Inc. Overview, Products and Services, Strategy and Financial Analysis
    • BioAge Labs Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Insilico Medicine Inc. Overview, Products and Services, Strategy and Financial Analysis

第31章:其他领先和创新企业

  • BostonGene Corporation
  • ISOMORPHIC LABS
  • Recursion Pharmaceuticals Inc.
  • Deep Genomics Inc.
  • Healx Ltd.
  • Owkin Inc.
  • BullFrog AI Holdings Inc.
  • Aicura Medical GmbH
  • Kantify
  • Ignota Labs Ltd.
  • OrphAI Therapeutics
  • Nabla Bio
  • Atomwise Inc.
  • BioXcel Therapeutics Inc.
  • Graph AI

第32章 全球市场竞争基准化分析与仪錶板

第33章 重大併购

第34章 近期市场趋势

第35章:高潜力市场国家、细分市场与策略

  • 2029年人工智慧在药物重定位市场的应用:提供新机会的国家
  • 2029年人工智慧在药物重定位市场的应用:提供新机会的细分领域
  • 2029年人工智慧在药物重定位市场的应用:成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章附录

简介目录
Product Code: r39458

Artificial intelligence in drug repurposing refers to the use of artificial intelligence techniques to identify new medical applications for existing drugs. It applies advanced data analytics, machine learning, and predictive modeling to examine biological, chemical, and clinical data for potential therapeutic matches. This approach speeds up drug discovery, lowers research costs, and improves the efficiency of pharmaceutical development.

The primary components of artificial intelligence in drug repurposing include software and platforms and services. Software and platforms consist of digital tools and environments that facilitate the development, deployment, and utilization of applications and services. It employs various technologies such as machine learning or deep learning, natural language processing, knowledge graphs and network-based artificial intelligence, generative artificial intelligence and large language models, and computer vision. The different deployment modes include cloud-based and on-premises. Various therapeutic areas include oncology, neurology, cardiovascular diseases, infectious diseases, immunology, metabolic disorders, and rare diseases, and they serve several end-users, including pharmaceutical and biotechnology companies, contract research organizations, academic and research institutes, healthcare providers, and others.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the information technology sector, particularly in hardware manufacturing, data infrastructure, and software deployment. Higher duties on imported semiconductors, circuit boards, and networking equipment have raised production and operational costs for tech firms, cloud service providers, and data centers. Companies relying on globally sourced components for laptops, servers, and consumer electronics are facing longer lead times and increased pricing pressures. In parallel, tariffs on specialized software tools and retaliatory measures from key international markets have disrupted global IT supply chains and reduced overseas demand for U.S.-developed technologies. To navigate these challenges, the sector is accelerating investments in domestic chip fabrication, diversifying supplier bases, and adopting AI-driven automation to enhance operational resilience and cost efficiency.

The artificial intelligence in drug repurposing market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence in drug repurposing market statistics, including artificial intelligence in drug repurposing industry global market size, regional shares, competitors with a artificial intelligence in drug repurposing market share, detailed artificial intelligence in drug repurposing market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in drug repurposing industry. This artificial intelligence in drug repurposing market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The artificial intelligence in drug repurposing market size has grown exponentially in recent years. It will grow from $0.87 billion in 2024 to $1.05 billion in 2025 at a compound annual growth rate (CAGR) of 20.5%. The growth during the historic period can be attributed to the increasing prevalence of chronic and rare diseases, the rising research and development expenditure, the growing regulatory support, the rising healthcare costs, and the increasing collaborations between pharmaceutical companies and artificial intelligence firms.

The artificial intelligence in drug repurposing market size is expected to see exponential growth in the next few years. It will grow to $2.19 billion in 2029 at a compound annual growth rate (CAGR) of 20.2%. The growth during the forecast period can be attributed to the growing demand for cost-effective drug development, the increasing use of artificial intelligence-powered predictive analytics, the rising prevalence of complex diseases, the growing adoption of cloud infrastructure, and the increasing repurposing opportunities for existing approved drugs. Key trends in the forecast period include innovations in machine learning and generative artificial intelligence applications, developments in predictive modeling and data analytics, technological advancements in large language models for hypothesis generation, innovations in cloud-based artificial intelligence drug discovery platforms, and technological enhancements in multi-omics data integration systems.

The increasing demand for precision medicine is expected to drive the growth of the artificial intelligence in drug repurposing market in the coming years. Precision medicine is a healthcare approach that customizes disease prevention and treatment based on an individual's unique genes, behaviors, and environment. The growing preference for personalized treatments is fueling the expansion of precision medicine, as patients and healthcare providers increasingly seek therapies tailored to individual genetic and lifestyle profiles for improved effectiveness and fewer side effects. Artificial intelligence-driven drug repurposing supports precision medicine by identifying existing drugs that match an individual's genetic or molecular characteristics, enabling more accurate and personalized treatment solutions. For example, in February 2024, according to the Personalized Medicine Coalition, a United States-based nonprofit organization, the Food and Drug Administration approved sixteen personalized therapies targeting rare diseases in 2023, a significant increase compared to six approvals in 2022. Therefore, the rising demand for precision medicine is propelling the growth of the artificial intelligence in drug repurposing market.

Key companies operating in the artificial intelligence in drug repurposing market are concentrating on integrating advanced technologies in drug repositioning, such as computational drug repositioning systems, which systematically identify new therapeutic indications for existing drugs using data-driven analysis of literature and biological information. A computational drug repositioning system refers to a technology-based platform that employs artificial intelligence, machine learning, and data mining to systematically analyze existing drugs, compounds, and biological data. For instance, in November 2023, Tempus, a United States-based provider of artificial intelligence-based precision medicine solutions, announced a multi-year strategic collaboration with Recursion, a United States-based clinical-stage biotechnology company, valued at up to one hundred sixty million dollars over five years. The collaboration grants Recursion access to Tempus' extensive library of de-identified, multimodal oncology data to support biomarker-driven therapeutic development. By leveraging Tempus' large-scale patient datasets alongside Recursion's artificial intelligence-enabled discovery capabilities, the partnership strengthens oncology drug repurposing initiatives, demonstrating how advanced computational platforms combined with real-world clinical data can accelerate the identification of new treatment opportunities.

In January 2024, Cosmos Health Incorporated, a United States-based diversified healthcare company, acquired Cloudscreen for an undisclosed amount. Through this acquisition, Cosmos Health aims to strengthen drug repurposing capabilities and speed up the identification of new therapeutic applications for existing drugs. Cloudscreen is a United States-based company specializing in artificial intelligence-powered drug repurposing solutions.

Major players in the artificial intelligence in drug repurposing market are IBM Corporation, Evogene Ltd., Ginkgo Bioworks Holdings Inc., BioAge Labs Inc., Insilico Medicine Inc., BostonGene Corporation, ISOMORPHIC LABS, Recursion Pharmaceuticals Inc., Deep Genomics Inc., Healx Ltd., Owkin Inc., BullFrog AI Holdings Inc., Aicura Medical GmbH, Kantify, Ignota Labs Ltd., OrphAI Therapeutics, Nabla Bio, Atomwise Inc., BioXcel Therapeutics Inc., and Graph AI.

North America was the largest region in the artificial intelligence in drug repurposing market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in artificial intelligence in drug repurposing report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the artificial intelligence in drug repurposing market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence in drug repurposing market includes revenues earned by entities by providing services such as predictive modelling, target identification, drug-disease interaction analysis, virtual screening, and clinical data mining. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Artificial Intelligence In Drug Repurposing Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on artificial intelligence in drug repurposing market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 15 geographies.
  • Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, post-pandemic supply chain realignment, inflation and interest rate fluctuations, and evolving regulatory landscapes.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • Report will be updated with the latest data and delivered to you within 2-3 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

Where is the largest and fastest growing market for artificial intelligence in drug repurposing ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence in drug repurposing market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Component: Software And Platforms; Services
  • 2) By Technology: Machine Learning Or Deep Learning; Natural Language Processing (NLP); Knowledge Graphs And Network-Based Artificial Intelligence; Generative Artificial Intelligence And Large Language Models (LLMs); Computer Vision
  • 3) By Deployment: Cloud-Based; On-Premises
  • 4) By Therapeutic: Oncology; Neurology; Cardiovascular Diseases; Infectious Diseases; Immunology; Metabolic Disorders; Rare Diseases
  • 5) By End-User: Pharmaceutical And Biotechnology Companies; Contract Research Organizations (CROs); Academic And Research Institutes; Healthcare Providers; Other End-Users
  • Subsegments:
  • 1) By Software And Platforms: Predictive Analytics Tools; Machine Learning Frameworks; Data Integration Systems; Drug Discovery Platforms; Clinical Trial Simulation Tools
  • 2) By Services: Consulting Services; Data Management Services; Model Training And Optimization Services; Implementation And Integration Services; Support And Maintenance Services
  • Companies Mentioned: IBM Corporation; Evogene Ltd.; Ginkgo Bioworks Holdings Inc.; BioAge Labs Inc.; Insilico Medicine Inc.; BostonGene Corporation; ISOMORPHIC LABS; Recursion Pharmaceuticals Inc.; Deep Genomics Inc.; Healx Ltd.; Owkin Inc.; BullFrog AI Holdings Inc.; Aicura Medical GmbH; Kantify; Ignota Labs Ltd.; OrphAI Therapeutics; Nabla Bio; Atomwise Inc.; BioXcel Therapeutics Inc.; Graph AI.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Artificial Intelligence In Drug Repurposing Market Characteristics

3. Artificial Intelligence In Drug Repurposing Market Trends And Strategies

4. Artificial Intelligence In Drug Repurposing Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global Artificial Intelligence In Drug Repurposing Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Artificial Intelligence In Drug Repurposing PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Artificial Intelligence In Drug Repurposing Market Growth Rate Analysis
  • 5.4. Global Artificial Intelligence In Drug Repurposing Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Artificial Intelligence In Drug Repurposing Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Artificial Intelligence In Drug Repurposing Total Addressable Market (TAM)

6. Artificial Intelligence In Drug Repurposing Market Segmentation

  • 6.1. Global Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Software And Platforms
  • Services
  • 6.2. Global Artificial Intelligence In Drug Repurposing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Machine Learning Or Deep Learning
  • Natural Language Processing (NLP)
  • Knowledge Graphs And Network-Based Artificial Intelligence
  • Generative Artificial Intelligence And Large Language Models (LLMs)
  • Computer Vision
  • 6.3. Global Artificial Intelligence In Drug Repurposing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Cloud-Based
  • On-Premises
  • 6.4. Global Artificial Intelligence In Drug Repurposing Market, Segmentation By Therapeutic, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Oncology
  • Neurology
  • Cardiovascular Diseases
  • Infectious Diseases
  • Immunology
  • Metabolic Disorders
  • Rare Diseases
  • 6.5. Global Artificial Intelligence In Drug Repurposing Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Pharmaceutical And Biotechnology Companies
  • Contract Research Organizations (CROs)
  • Academic And Research Institutes
  • Healthcare Providers
  • Other End-Users
  • 6.6. Global Artificial Intelligence In Drug Repurposing Market, Sub-Segmentation Of Software And Platforms, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Predictive Analytics Tools
  • Machine Learning Frameworks
  • Data Integration Systems
  • Drug Discovery Platforms
  • Clinical Trial Simulation Tools
  • 6.7. Global Artificial Intelligence In Drug Repurposing Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Consulting Services
  • Data Management Services
  • Model Training And Optimization Services
  • Implementation And Integration Services
  • Support And Maintenance Services

7. Artificial Intelligence In Drug Repurposing Market Regional And Country Analysis

  • 7.1. Global Artificial Intelligence In Drug Repurposing Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Artificial Intelligence In Drug Repurposing Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Artificial Intelligence In Drug Repurposing Market

  • 8.1. Asia-Pacific Artificial Intelligence In Drug Repurposing Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Artificial Intelligence In Drug Repurposing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Artificial Intelligence In Drug Repurposing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Artificial Intelligence In Drug Repurposing Market

  • 9.1. China Artificial Intelligence In Drug Repurposing Market Overview
  • 9.2. China Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Artificial Intelligence In Drug Repurposing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Artificial Intelligence In Drug Repurposing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Artificial Intelligence In Drug Repurposing Market

  • 10.1. India Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Artificial Intelligence In Drug Repurposing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Artificial Intelligence In Drug Repurposing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Artificial Intelligence In Drug Repurposing Market

  • 11.1. Japan Artificial Intelligence In Drug Repurposing Market Overview
  • 11.2. Japan Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Artificial Intelligence In Drug Repurposing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Artificial Intelligence In Drug Repurposing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Artificial Intelligence In Drug Repurposing Market

  • 12.1. Australia Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Artificial Intelligence In Drug Repurposing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Artificial Intelligence In Drug Repurposing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Artificial Intelligence In Drug Repurposing Market

  • 13.1. Indonesia Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Artificial Intelligence In Drug Repurposing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Artificial Intelligence In Drug Repurposing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Artificial Intelligence In Drug Repurposing Market

  • 14.1. South Korea Artificial Intelligence In Drug Repurposing Market Overview
  • 14.2. South Korea Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Artificial Intelligence In Drug Repurposing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Artificial Intelligence In Drug Repurposing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Artificial Intelligence In Drug Repurposing Market

  • 15.1. Western Europe Artificial Intelligence In Drug Repurposing Market Overview
  • 15.2. Western Europe Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Artificial Intelligence In Drug Repurposing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Artificial Intelligence In Drug Repurposing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Artificial Intelligence In Drug Repurposing Market

  • 16.1. UK Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Artificial Intelligence In Drug Repurposing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Artificial Intelligence In Drug Repurposing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Artificial Intelligence In Drug Repurposing Market

  • 17.1. Germany Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Artificial Intelligence In Drug Repurposing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Artificial Intelligence In Drug Repurposing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Artificial Intelligence In Drug Repurposing Market

  • 18.1. France Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Artificial Intelligence In Drug Repurposing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Artificial Intelligence In Drug Repurposing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Artificial Intelligence In Drug Repurposing Market

  • 19.1. Italy Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Artificial Intelligence In Drug Repurposing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Artificial Intelligence In Drug Repurposing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Artificial Intelligence In Drug Repurposing Market

  • 20.1. Spain Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Artificial Intelligence In Drug Repurposing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Artificial Intelligence In Drug Repurposing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Artificial Intelligence In Drug Repurposing Market

  • 21.1. Eastern Europe Artificial Intelligence In Drug Repurposing Market Overview
  • 21.2. Eastern Europe Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Artificial Intelligence In Drug Repurposing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Artificial Intelligence In Drug Repurposing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Artificial Intelligence In Drug Repurposing Market

  • 22.1. Russia Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Artificial Intelligence In Drug Repurposing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Artificial Intelligence In Drug Repurposing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Artificial Intelligence In Drug Repurposing Market

  • 23.1. North America Artificial Intelligence In Drug Repurposing Market Overview
  • 23.2. North America Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Artificial Intelligence In Drug Repurposing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Artificial Intelligence In Drug Repurposing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Artificial Intelligence In Drug Repurposing Market

  • 24.1. USA Artificial Intelligence In Drug Repurposing Market Overview
  • 24.2. USA Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Artificial Intelligence In Drug Repurposing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Artificial Intelligence In Drug Repurposing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Artificial Intelligence In Drug Repurposing Market

  • 25.1. Canada Artificial Intelligence In Drug Repurposing Market Overview
  • 25.2. Canada Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Artificial Intelligence In Drug Repurposing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Artificial Intelligence In Drug Repurposing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Artificial Intelligence In Drug Repurposing Market

  • 26.1. South America Artificial Intelligence In Drug Repurposing Market Overview
  • 26.2. South America Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Artificial Intelligence In Drug Repurposing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Artificial Intelligence In Drug Repurposing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Artificial Intelligence In Drug Repurposing Market

  • 27.1. Brazil Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Artificial Intelligence In Drug Repurposing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Artificial Intelligence In Drug Repurposing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Artificial Intelligence In Drug Repurposing Market

  • 28.1. Middle East Artificial Intelligence In Drug Repurposing Market Overview
  • 28.2. Middle East Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Artificial Intelligence In Drug Repurposing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Artificial Intelligence In Drug Repurposing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Artificial Intelligence In Drug Repurposing Market

  • 29.1. Africa Artificial Intelligence In Drug Repurposing Market Overview
  • 29.2. Africa Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Artificial Intelligence In Drug Repurposing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Artificial Intelligence In Drug Repurposing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Artificial Intelligence In Drug Repurposing Market Competitive Landscape And Company Profiles

  • 30.1. Artificial Intelligence In Drug Repurposing Market Competitive Landscape
  • 30.2. Artificial Intelligence In Drug Repurposing Market Company Profiles
    • 30.2.1. IBM Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Evogene Ltd. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Ginkgo Bioworks Holdings Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. BioAge Labs Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Insilico Medicine Inc. Overview, Products and Services, Strategy and Financial Analysis

31. Artificial Intelligence In Drug Repurposing Market Other Major And Innovative Companies

  • 31.1. BostonGene Corporation
  • 31.2. ISOMORPHIC LABS
  • 31.3. Recursion Pharmaceuticals Inc.
  • 31.4. Deep Genomics Inc.
  • 31.5. Healx Ltd.
  • 31.6. Owkin Inc.
  • 31.7. BullFrog AI Holdings Inc.
  • 31.8. Aicura Medical GmbH
  • 31.9. Kantify
  • 31.10. Ignota Labs Ltd.
  • 31.11. OrphAI Therapeutics
  • 31.12. Nabla Bio
  • 31.13. Atomwise Inc.
  • 31.14. BioXcel Therapeutics Inc.
  • 31.15. Graph AI

32. Global Artificial Intelligence In Drug Repurposing Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Artificial Intelligence In Drug Repurposing Market

34. Recent Developments In The Artificial Intelligence In Drug Repurposing Market

35. Artificial Intelligence In Drug Repurposing Market High Potential Countries, Segments and Strategies

  • 35.1 Artificial Intelligence In Drug Repurposing Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Artificial Intelligence In Drug Repurposing Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Artificial Intelligence In Drug Repurposing Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer