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市場調查報告書
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1978426

2026年全球醫藥回收人工智慧市場報告

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個工作天內

價格
簡介目錄

近年來，人工智慧在藥物再利用領域的市場規模迅速擴張。預計該市場規模將從2025年的10.5億美元成長到2026年的12.7億美元，年複合成長率達20.3%。過去幾年的成長被認為歸因於多種因素，例如藥物研發投入的增加、公開生物醫學資料集的普及、計算生物學工具的進步、縮短治療方法上市時間的需求，以及製藥公司與人工智慧Start-Ups之間合作的加強。

預計未來幾年，人工智慧在藥物再利用領域的市場將快速成長，到2030年將達到26.3億美元，複合年成長率（CAGR）為20.1%。預測期內的成長要素包括：人工智慧輔助臨床決策支援的擴展、生成式人工智慧在分子分析中應用的增加、突發公共衛生事件中對快速藥物再利用的需求、真實世界數據分析的增強以及對精準醫療研發管線投資的增加。預測期內的關鍵趨勢包括：基於多組體學資料的人工智慧驅動的藥物標靶匹配、利用知識圖譜發現的藥物再利用管線、加速虛擬篩檢和臨床試驗模擬、用於跨機構研究的聯邦學習以及用於臨床藥物再利用決策的可解釋人工智慧。

未來幾年，精準醫療需求的不斷成長預計將推動人工智慧在藥物再利用領域的應用。精準醫療是一種基於個人獨特的基因、行為和環境來客製化疾病預防和治療方案的醫療方法。隨著患者和醫療服務提供者越來越傾向於尋求根據其個別基因特徵和生活方式量身定做的治療方法，以提高療效並減少副作用，人們對個人化醫療的日益青睞正在推動精準醫療的擴張。人工智慧在藥物再利用領域的應用，透過識別與個別基因和分子特徵相符的現有藥物，為精準醫療提供支持，從而實現更精準、更個人化的治療方案。例如，根據美國非營利組織個人化醫療聯盟（Personalized Medicine Coalition）的數據顯示，截至2024年2月，美國食品藥物管理局（FDA）在2023年核准了16種針對罕見疾病的個人化療法，較2022年的6種核准顯著增加。因此，對精準醫療日益成長的需求正在推動人工智慧在藥物再利用領域的市場成長。

在藥物再利用人工智慧市場中，主要企業正致力於將先進技術整合到藥物再利用中，例如「電腦輔助藥物再利用系統」（CDR）。該系統透過對文獻和生物資訊進行數據驅動的分析，系統地識別現有藥物的新治療適應症。 CDR 指的是利用人工智慧、機器學習和資料探勘技術來系統化分析現有藥物、化合物和生物資料的技術平台。例如，2023 年 11 月，總部位於美國的 AI 精準醫療解決方案提供商 Tempus 宣布與總部位於美國的臨床階段生物技術公司 Recursion 達成一項價值高達 1.6 億美元的多年戰略合作協議。這項合作將使 Recursion 能夠存取 Tempus 龐大的匿名化多模態腫瘤資料庫，以支持生物標記主導的治療開發。透過將 Tempus 的大型患者資料集與 Recursion 的人工智慧驅動的藥物發現能力相結合，此次夥伴關係將加強腫瘤領域的藥物再利用舉措，並展示如何將先進的計算平台與真實世界的臨床數據相結合，從而加速發現新的治療機會。

目錄

第1章：執行摘要

第2章 市場特徵

  • 市場定義和範圍
  • 市場區隔
  • 主要產品和服務概述
  • 全球人工智慧藥物再利用市場：吸引力評分及分析
  • 成長潛力分析、競爭評估、策略適宜性評估、風險狀況評估

第3章 市場供應鏈分析

  • 供應鏈與生態系概述
  • 清單：主要原料、資源和供應商
  • 主要經銷商和通路合作夥伴名單
  • 主要最終用戶列表

第4章：全球市場趨勢與策略

  • 關鍵科技與未來趨勢
    • 生物技術、基因組學和精準醫療
    • 人工智慧（AI）和自主人工智慧
    • 數位化、雲端運算、巨量資料、網路安全
    • 金融科技、區塊鏈、監管科技與數位金融
    • 永續性、氣候技術、循環經濟
  • 主要趨勢
    • 基於多組體學數據的AI驅動藥物標靶匹配
    • 利用知識圖譜發現的重複使用管道
    • 加速虛擬篩檢與臨床試驗模擬
    • 聯邦學習在跨機構研究的應用
    • 用於臨床應用決策的可解釋人工智慧

第5章 終端用戶產業市場分析

  • 製藥和生物技術公司
  • 合約研究組織（CRO）
  • 學術研究機構
  • 醫療保健提供者
  • 政府研究機構

第6章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅的影響、關稅戰和貿易保護主義對供應鏈的影響，以及 COVID-19 疫情對市場的影響。

第7章：全球策略分析架構、目前市場規模、市場對比及成長率分析

  • 全球藥物再利用人工智慧市場：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 全球人工智慧市場規模、對比及成長率分析（用於藥物再利用）
  • 全球人工智慧市場在藥物再利用領域的表現：規模與成長，2020-2025年
  • 全球人工智慧在藥物再利用領域的市場預測：規模與成長，2025-2030年及2035年預測

第8章：全球市場總規模（TAM）

第9章 市場細分

  • 按組件
  • 軟體和平台、服務
  • 透過技術
  • 機器學習或深度學習、自然語言處理 (NLP)、知識圖譜和基於網路的人工智慧、生成式人工智慧和大型語言模型 (LLM)、電腦視覺
  • 不同的發展
  • 基於雲端，本地部署
  • 透過癒合區域
  • 腫瘤學、神經病學、心血管疾病、感染疾病、免疫學、代謝性疾病、罕見疾病
  • 最終用戶
  • 製藥和生物技術公司、合約研究組織 (CRO)、學術研究機構、醫療保健提供者和其他最終用戶
  • 按類型細分：軟體和平台
  • 預測分析工具、機器學習架構、資料整合系統、藥物發現平台、臨床試驗模擬工具
  • 按類型細分：服務
  • 諮詢服務、資料管理服務、模型訓練和最佳化服務、實施和整合服務、支援和維護服務

第10章 市場與產業指標：依國家分類

第11章 區域與國別分析

  • 全球人工智慧在藥物再利用領域的市場：按地區分類，實際結果和預測，2020-2025年、2025-2030年、2035年
  • 全球人工智慧在藥物再利用領域的市場：按國家/地區分類，實際結果和預測，2020-2025年、2025-2030年預測、2035年預測

第12章 亞太市場

第13章：中國市場

第14章：印度市場

第15章：日本市場

第16章：澳洲市場

第17章：印尼市場

第18章：韓國市場

第19章 台灣市場

第20章：東南亞市場

第21章 西歐市場

第22章英國市場

第23章：德國市場

第24章：法國市場

第25章：義大利市場

第26章：西班牙市場

第27章 東歐市場

第28章：俄羅斯市場

第29章 北美市場

第30章：美國市場

第31章：加拿大市場

第32章：南美洲市場

第33章：巴西市場

第34章 中東市場

第35章：非洲市場

第36章 市場監理與投資環境

第37章：競爭格局與公司概況

  • 人工智慧在藥物再利用領域的市場：競爭格局和市場佔有率（2024 年）
  • 人工智慧在藥物再利用領域的市場：公司估值矩陣
  • 人工智慧在藥物再利用領域的市場：公司概況
    • IBM Corporation
    • Evogene Ltd.
    • Ginkgo Bioworks Holdings Inc.
    • BioAge Labs Inc.
    • Insilico Medicine Inc.

第38章 其他大型企業和創新企業

  • 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 全球市場競爭基準分析與儀錶板

第40章 重大併購

第41章 具有高市場潛力的國家、細分市場與策略

  • 2030年人工智慧在藥物再利用領域的市場展望：提供新機會的國家
  • 2030年人工智慧在藥物再利用領域的市場展望：新興細分市場機會
  • 2030年人工智慧在藥物再利用市場的應用：成長策略
    • 基於市場趨勢的策略
    • 競爭對手的策略

第42章附錄

簡介目錄
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.
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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