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市场调查报告书
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1978426

2026年全球医药回收人工智慧市场报告

Artificial Intelligence In Drug Repurposing Global Market Report 2026
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

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简介目录

近年来，人工智慧在药物再利用领域的市场规模迅速扩张。预计该市场规模将从2025年的10.5亿美元成长到2026年的12.7亿美元，年复合成长率达20.3%。过去几年的成长被认为归因于多种因素，例如药物研发投入的增加、公开生物医学资料集的普及、计算生物学工具的进步、缩短治疗方法上市时间的需求，以及製药公司与人工智慧Start-Ups之间合作的加强。

预计未来几年，人工智慧在药物再利用领域的市场将快速成长，到2030年将达到26.3亿美元，复合年增长率（CAGR）为20.1%。预测期内的成长要素包括：人工智慧辅助临床决策支援的扩展、生成式人工智慧在分子分析中应用的增加、突发公共卫生事件中对快速药物再利用的需求、真实世界数据分析的增强以及对精准医疗研发管线投资的增加。预测期内的关键趋势包括：基于多组体学资料的人工智慧驱动的药物标靶匹配、利用知识图谱发现的药物再利用管线、加速虚拟筛检和临床试验模拟、用于跨机构研究的联邦学习以及用于临床药物再利用决策的可解释人工智慧。

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再利用领域的应用。精准医疗是一种基于个人独特的基因、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寻求根据其个别基因特征和生活方式量身定制的治疗方法，以提高疗效并减少副作用，人们对个人化医疗的日益青睐正在推动精准医疗的扩张。人工智慧在药物再利用领域的应用，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疗法，较2022年的6种核准显着增加。因此，对精准医疗日益增长的需求正在推动人工智慧在药物再利用领域的市场成长。

在药物再利用人工智慧市场中，主要企业正致力于将先进技术整合到药物再利用中，例如「电脑辅助药物再利用系统」（CDR）。该系统透过对文献和生物资讯进行数据驱动的分析，系统地识别现有药物的新治疗适应症。 CDR 指的是利用人工智慧、机器学习和资料探勘技术来系统化分析现有药物、化合物和生物资料的技术平台。例如，2023 年 11 月，总部位于美国的 AI 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。这项合作将使 Recursion 能够存取 Tempus 庞大的匿名化多模态肿瘤资料库，以支持生物标记主导的治疗开发。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，此次伙伴关係将加强肿瘤领域的药物再利用倡议，并展示如何将先进的计算平台与真实世界的临床数据相结合，从而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

  • 市场定义和范围
  • 市场区隔
  • 主要产品和服务概述
  • 全球人工智慧药物再利用市场：吸引力评分及分析
  • 成长潜力分析、竞争评估、策略适宜性评估、风险状况评估

第三章 市场供应链分析

  • 供应链与生态系概述
  • 清单：主要原料、资源和供应商
  • 主要经销商和通路合作伙伴名单
  • 主要最终用户列表

第四章：全球市场趋势与策略

  • 关键科技与未来趋势
    • 生物技术、基因组学和精准医疗
    • 人工智慧（AI）和自主人工智慧
    • 数位化、云端运算、巨量资料、网路安全
    • 金融科技、区块链、监管科技与数位金融
    • 永续性、气候技术、循环经济
  • 主要趋势
    • 基于多组体学数据的AI驱动药物标靶匹配
    • 利用知识图谱发现的重复使用管道
    • 加速虚拟筛检与临床试验模拟
    • 联邦学习在跨机构研究的应用
    • 用于临床应用决策的可解释人工智慧

第五章 终端用户产业市场分析

  • 製药和生物技术公司
  • 合约研究组织（CRO）
  • 学术研究机构
  • 医疗保健提供者
  • 政府研究机构

第六章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税的影响、关税战和贸易保护主义对供应链的影响，以及 COVID-19 疫情对市场的影响。

第七章：全球策略分析架构、目前市场规模、市场对比及成长率分析

  • 全球药物再利用人工智慧市场：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 全球人工智慧市场规模、对比及成长率分析（用于药物再利用）
  • 全球人工智慧市场在药物再利用领域的表现：规模与成长，2020-2025年
  • 全球人工智慧在药物再利用领域的市场预测：规模与成长，2025-2030年及2035年预测

第八章：全球市场总规模（TAM）

第九章 市场细分

  • 按组件
  • 软体和平台、服务
  • 透过技术
  • 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型语言模型 (LLM)、电脑视觉
  • 不同的发展
  • 基于云端，本地部署
  • 透过癒合区域
  • 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
  • 最终用户
  • 製药和生物技术公司、合约研究组织 (CRO)、学术研究机构、医疗保健提供者和其他最终用户
  • 按类型细分：软体和平台
  • 预测分析工具、机器学习架构、资料整合系统、药物发现平台、临床试验模拟工具
  • 按类型细分：服务
  • 咨询服务、资料管理服务、模型训练和最佳化服务、实施和整合服务、支援和维护服务

第十章 市场与产业指标：依国家划分

第十一章 区域与国别分析

  • 全球人工智慧在药物再利用领域的市场：按地区划分，实际结果和预测，2020-2025年、2025-2030年、2035年
  • 全球人工智慧在药物再利用领域的市场：按国家/地区划分，实际结果和预测，2020-2025年、2025-2030年预测、2035年预测

第十二章 亚太市场

第十三章：中国市场

第十四章：印度市场

第十五章：日本市场

第十六章：澳洲市场

第十七章：印尼市场

第十八章：韩国市场

第十九章 台湾市场

第二十章：东南亚市场

第21章 西欧市场

第22章英国市场

第23章：德国市场

第24章：法国市场

第25章：义大利市场

第26章：西班牙市场

第27章 东欧市场

第28章：俄罗斯市场

第29章 北美市场

第三十章：美国市场

第31章：加拿大市场

第32章：南美洲市场

第33章：巴西市场

第34章 中东市场

第35章：非洲市场

第三十六章 市场监理与投资环境

第37章：竞争格局与公司概况

  • 人工智慧在药物再利用领域的市场：竞争格局和市场份额（2024 年）
  • 人工智慧在药物再利用领域的市场：公司估值矩阵
  • 人工智慧在药物再利用领域的市场：公司概况
    • IBM Corporation
    • Evogene Ltd.
    • Ginkgo Bioworks Holdings Inc.
    • BioAge Labs Inc.
    • Insilico Medicine Inc.

第38章 其他大型企业和创新企业

  • 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39章 全球市场竞争基准分析与仪錶板

第四十章 重大併购

第41章 具有高市场潜力的国家、细分市场与策略

  • 2030年人工智慧在药物再利用领域的市场展望：提供新机会的国家
  • 2030年人工智慧在药物再利用领域的市场展望：新兴细分市场机会
  • 2030年人工智慧在药物再利用市场的应用：成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第42章附录

简介目录
Product Code: IT4MAIDR02_G26Q1

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.

Tariffs are influencing the artificial intelligence in drug repurposing market by increasing the cost of imported high-performance computing infrastructure, specialized accelerators, and laboratory data acquisition equipment used in AI-driven discovery workflows. Pharmaceutical and biotechnology companies in North America and Europe are most affected due to reliance on global supply chains for compute and research hardware, which can raise project costs and extend timelines. Contract research organizations may also face higher operational expenses when scaling AI platforms. However, tariffs are encouraging regional investment in local data centers, cloud-based research environments, and more efficient AI models that reduce compute requirements while maintaining discovery accuracy.

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 $1.05 billion in 2025 to $1.27 billion in 2026 at a compound annual growth rate (CAGR) of 20.3%. The growth in the historic period can be attributed to rising r&d costs in pharmaceutical development, availability of public biomedical datasets, growth of computational biology tools, need to accelerate time to market for therapies, increasing collaboration between pharma and AI startups.

The artificial intelligence in drug repurposing market size is expected to see exponential growth in the next few years. It will grow to $2.63 billion in 2030 at a compound annual growth rate (CAGR) of 20.1%. The growth in the forecast period can be attributed to growth of AI-assisted clinical decision support, increasing use of generative AI for molecule insights, need for faster repurposing during health crises, expansion of real-world evidence analytics, rising investments in precision medicine pipelines. Major trends in the forecast period include AI-driven drug-target matching from multi-omics data, repurposing pipelines using knowledge graph discovery, virtual screening and trial simulation acceleration, federated learning for cross-institution research, explainable AI for clinical repurposing decisions.

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 companies operating 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., Graph AI.

North America was the largest region in the artificial intelligence in drug repurposing market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence in drug repurposing market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the artificial intelligence in drug repurposing market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, 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 Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses 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.

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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, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, 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. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
  • The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
  • The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
  • The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
  • 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 technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
  • The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
  • The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
  • 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.
  • Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
  • 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 company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

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 Area: 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; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
  • Regions: Asia-Pacific; South East Asia; 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: Word, PDF or Interactive Report
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Table of Contents

1. Executive Summary

  • 1.1. Key Market Insights (2020-2035)
  • 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
  • 1.3. Major Factors Driving the Market
  • 1.4. Top Three Trends Shaping the Market

2. Artificial Intelligence In Drug Repurposing Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global Artificial Intelligence In Drug Repurposing Market Attractiveness Scoring And Analysis
    • 2.4.1. Overview of Market Attractiveness Framework
    • 2.4.2. Quantitative Scoring Methodology
    • 2.4.3. Factor-Wise Evaluation
  • Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
    • 2.4.4. Market Attractiveness Scoring and Interpretation
    • 2.4.5. Strategic Implications and Recommendations

3. Artificial Intelligence In Drug Repurposing Market Supply Chain Analysis

  • 3.1. Overview of the Supply Chain and Ecosystem
  • 3.2. List Of Key Raw Materials, Resources & Suppliers
  • 3.3. List Of Major Distributors and Channel Partners
  • 3.4. List Of Major End Users

4. Global Artificial Intelligence In Drug Repurposing Market Trends And Strategies

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Biotechnology, Genomics & Precision Medicine
    • 4.1.2 Artificial Intelligence & Autonomous Intelligence
    • 4.1.3 Digitalization, Cloud, Big Data & Cybersecurity
    • 4.1.4 Fintech, Blockchain, Regtech & Digital Finance
    • 4.1.5 Sustainability, Climate Tech & Circular Economy
  • 4.2. Major Trends
    • 4.2.1 AI-Driven Drug-Target Matching From Multi-Omics Data
    • 4.2.2 Repurposing Pipelines Using Knowledge Graph Discovery
    • 4.2.3 Virtual Screening And Trial Simulation Acceleration
    • 4.2.4 Federated Learning For Cross-Institution Research
    • 4.2.5 Explainable AI For Clinical Repurposing Decisions

5. Artificial Intelligence In Drug Repurposing Market Analysis Of End Use Industries

  • 5.1 Pharmaceutical And Biotechnology Companies
  • 5.2 Contract Research Organizations (Cros)
  • 5.3 Academic And Research Institutes
  • 5.4 Healthcare Providers
  • 5.5 Government Research Agencies

6. Artificial Intelligence In Drug Repurposing Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global Artificial Intelligence In Drug Repurposing Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

  • 7.1. Global Artificial Intelligence In Drug Repurposing PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 7.2. Global Artificial Intelligence In Drug Repurposing Market Size, Comparisons And Growth Rate Analysis
  • 7.3. Global Artificial Intelligence In Drug Repurposing Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
  • 7.4. Global Artificial Intelligence In Drug Repurposing Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global Artificial Intelligence In Drug Repurposing Total Addressable Market (TAM) Analysis for the Market

  • 8.1. Definition and Scope of Total Addressable Market (TAM)
  • 8.2. Methodology and Assumptions
  • 8.3. Global Total Addressable Market (TAM) Estimation
  • 8.4. TAM vs. Current Market Size Analysis
  • 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. Artificial Intelligence In Drug Repurposing Market Segmentation

  • 9.1. Global Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Software And Platforms, Services
  • 9.2. Global Artificial Intelligence In Drug Repurposing Market, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ 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
  • 9.3. Global Artificial Intelligence In Drug Repurposing Market, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Cloud-Based, On-Premises
  • 9.4. Global Artificial Intelligence In Drug Repurposing Market, Segmentation By Therapeutic Area, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Oncology, Neurology, Cardiovascular Diseases, Infectious Diseases, Immunology, Metabolic Disorders, Rare Diseases
  • 9.5. Global Artificial Intelligence In Drug Repurposing Market, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Pharmaceutical And Biotechnology Companies, Contract Research Organizations (CROs), Academic And Research Institutes, Healthcare Providers, Other End-Users
  • 9.6. Global Artificial Intelligence In Drug Repurposing Market, Sub-Segmentation Of Software And Platforms, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Predictive Analytics Tools, Machine Learning Frameworks, Data Integration Systems, Drug Discovery Platforms, Clinical Trial Simulation Tools
  • 9.7. Global Artificial Intelligence In Drug Repurposing Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Consulting Services, Data Management Services, Model Training And Optimization Services, Implementation And Integration Services, Support And Maintenance Services

10. Artificial Intelligence In Drug Repurposing Market, Industry Metrics By Country

  • 10.1. Global Artificial Intelligence In Drug Repurposing Market, Average Selling Price By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $
  • 10.2. Global Artificial Intelligence In Drug Repurposing Market, Average Spending Per Capita (Employed) By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $

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

  • 11.1. Global Artificial Intelligence In Drug Repurposing Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 11.2. Global Artificial Intelligence In Drug Repurposing Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. Asia-Pacific Artificial Intelligence In Drug Repurposing Market

  • 12.1. 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
  • 12.2. Asia-Pacific Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. China Artificial Intelligence In Drug Repurposing Market

  • 13.1. China Artificial Intelligence In Drug Repurposing Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 13.2. China Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. India Artificial Intelligence In Drug Repurposing Market

  • 14.1. India Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Japan Artificial Intelligence In Drug Repurposing Market

  • 15.1. Japan Artificial Intelligence In Drug Repurposing Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 15.2. Japan Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Australia Artificial Intelligence In Drug Repurposing Market

  • 16.1. Australia Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. Indonesia Artificial Intelligence In Drug Repurposing Market

  • 17.1. Indonesia Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. South Korea Artificial Intelligence In Drug Repurposing Market

  • 18.1. South Korea Artificial Intelligence In Drug Repurposing Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 18.2. South Korea Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. Taiwan Artificial Intelligence In Drug Repurposing Market

  • 19.1. Taiwan Artificial Intelligence In Drug Repurposing Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 19.2. Taiwan Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. South East Asia Artificial Intelligence In Drug Repurposing Market

  • 20.1. South East Asia 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
  • 20.2. South East Asia Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. Western Europe Artificial Intelligence In Drug Repurposing Market

  • 21.1. Western Europe 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
  • 21.2. Western Europe Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. UK Artificial Intelligence In Drug Repurposing Market

  • 22.1. UK Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. Germany Artificial Intelligence In Drug Repurposing Market

  • 23.1. Germany Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. France Artificial Intelligence In Drug Repurposing Market

  • 24.1. France Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Italy Artificial Intelligence In Drug Repurposing Market

  • 25.1. Italy Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Spain Artificial Intelligence In Drug Repurposing Market

  • 26.1. Spain Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Eastern Europe Artificial Intelligence In Drug Repurposing Market

  • 27.1. Eastern Europe 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
  • 27.2. Eastern Europe Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. Russia Artificial Intelligence In Drug Repurposing Market

  • 28.1. Russia Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. North America Artificial Intelligence In Drug Repurposing Market

  • 29.1. North America 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
  • 29.2. North America Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. USA Artificial Intelligence In Drug Repurposing Market

  • 30.1. USA Artificial Intelligence In Drug Repurposing Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 30.2. USA Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. Canada Artificial Intelligence In Drug Repurposing Market

  • 31.1. Canada Artificial Intelligence In Drug Repurposing Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 31.2. Canada Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. South America Artificial Intelligence In Drug Repurposing Market

  • 32.1. South America 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
  • 32.2. South America Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Brazil Artificial Intelligence In Drug Repurposing Market

  • 33.1. Brazil Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Middle East Artificial Intelligence In Drug Repurposing Market

  • 34.1. Middle East 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
  • 34.2. Middle East Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Africa Artificial Intelligence In Drug Repurposing Market

  • 35.1. Africa 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
  • 35.2. Africa Artificial Intelligence In Drug Repurposing Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

36. Artificial Intelligence In Drug Repurposing Market Regulatory and Investment Landscape

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

  • 37.1. Artificial Intelligence In Drug Repurposing Market Competitive Landscape And Market Share 2024
    • 37.1.1. Top 10 Companies (Ranked by revenue/share)
  • 37.2. Artificial Intelligence In Drug Repurposing Market - Company Scoring Matrix
    • 37.2.1. Market Revenues
    • 37.2.2. Product Innovation Score
    • 37.2.3. Brand Recognition
  • 37.3. Artificial Intelligence In Drug Repurposing Market Company Profiles
    • 37.3.1. IBM Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.2. Evogene Ltd. Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.3. Ginkgo Bioworks Holdings Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.4. BioAge Labs Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.5. Insilico Medicine Inc. Overview, Products and Services, Strategy and Financial Analysis

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

  • 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

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

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

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

  • 41.1. Artificial Intelligence In Drug Repurposing Market In 2030 - Countries Offering Most New Opportunities
  • 41.2. Artificial Intelligence In Drug Repurposing Market In 2030 - Segments Offering Most New Opportunities
  • 41.3. Artificial Intelligence In Drug Repurposing Market In 2030 - Growth Strategies
    • 41.3.1. Market Trend Based Strategies
    • 41.3.2. Competitor Strategies

42. Appendix

  • 42.1. Abbreviations
  • 42.2. Currencies
  • 42.3. Historic And Forecast Inflation Rates
  • 42.4. Research Inquiries
  • 42.5. The Business Research Company
  • 42.6. Copyright And Disclaimer