세계의 약물 재창출 분야 AI 시장 보고서(2025년)
Artificial Intelligence In Drug Repurposing Global Market Report 2025
상품코드 : 1888083
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 250 Pages
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한글목차

세계의 약물 재창출 분야 AI 시장 규모는 최근 급격하게 확대하고 있습니다. 2024년 8억 7,000만 달러에서 2025년에는 10억 5,000만 달러로, CAGR 20.5%로 성장이 전망되고 있습니다. 이 성장은 만성질환과 희소질환 증가, 연구개발비 확대, 규제면 지원 강화, 의료비 상승, 제약기업과 AI 기업 간의 연계 강화 등 요인에 기인할 것으로 예측됩니다.

약물 재창출 분야 AI 시장 규모는 앞으로 수년간 급격한 성장이 예상됩니다. 2029년까지 21억 9,000만 달러에 달하고 CAGR은 20.2%가 될 전망입니다. 예측 기간 중 성장 요인으로는 비용 효율적인 의약품 개발에 대한 수요 증가, AI를 활용한 예측 분석 기술의 보급, 복잡한 질환 증가, 클라우드 인프라의 채용 확대, 기존 승인 의약품의 재이용 기회 증가 등을 들 수 있습니다. 예측 기간의 주요 동향으로는 머신러닝 및 생성형 AI 용도의 혁신, 예측 모델링 및 데이터 분석의 진전, 가설 생성을 위한 대규모 언어 모델의 기술적 진보, 클라우드 기반 AI 신약개발 플랫폼의 혁신, 멀티오믹스 데이터 통합 시스템의 기술적 강화 등이 있습니다.

정밀의료에 대한 수요 증가는 향후 수년간 약물 재창출 분야 AI 시장의 성장을 이끌 것으로 예측됩니다. 정밀의료는 개인의 고유한 유전자, 행동, 환경에 따라 질병 예방과 치료를 사용자 정의하는 의료 접근법입니다. 효과의 향상과 부작용의 경감을 요구해, 환자와 의료 제공업체가 개인의 유전적 특성이나 생활 양식에 맞춘 치료법을 점점 요구하는 가운데, 맞춤형 치료에 대한 선호 고조가 정밀의료의 확대를 촉진하고 있습니다. 약물 재창출 분야 AI는 개인의 유전적, 분자적 특성에 맞는 기존 약제를 특정함으로써 정밀의료를 지원하고 보다 정확하고 맞춤 치료 솔루션을 실현합니다. 예를 들어 미국 비영리 단체인 'Personalized Medicine Coalition'에 따르면 2024년 2월 현재 미국 식품의약국(FDA)은 2023년 희소질환을 대상으로 16개 맞춤형 치료를 승인했으며 2022년 6건 승인에서 상당한 증가를 보이고 있습니다. 따라서 정밀의료에 대한 수요 증가가 약물 재창출 분야 AI 시장 성장을 가속하고 있습니다.

약물 재창출 분야 AI 시장에서 활동하는 주요 기업은 기존 의약품의 새로운 치료 적응증을 문헌이나 생물학적 정보의 데이터 구동형 분석에 의해 체계적으로 특정하는 컴퓨터 지원 약물 재창출 시스템 등 약물 재창출 분야 첨단 기술의 통합에 주력하고 있습니다. 컴퓨터 지원 약물 재창출 시스템은 AI, 머신러닝, 데이터 마이닝을 활용하고 기존 의약품, 화합물 및 생물학적 데이터를 체계적으로 분석하는 기술 기반을 말합니다. 예를 들어, 2023년 11월에는 미국을 기반으로 하는 AI 기반 정밀의료 솔루션 제공업체인 Tempus가 미국을 기반으로 하는 임상 단계의 생명공학 기업인 Recursion과 5년간 최대 1억 6,000만 달러 규모의 다년간 전략적 제휴를 발표했습니다. 이 제휴를 통해 Recursion은 Tempus의 광범위한 익명화된 멀티모달 종양학 데이터 라이브러리에 액세스할 수 있어 바이오마커 중심의 치료 개발을 지원합니다. Tempus의 대규모 환자 데이터세트와 Recursion의 AI를 활용한 창약 능력을 결합하여 본 파트너십은 종양학 분야에서의 약물 재창출 이니셔티브를 강화하고, 첨단 컴퓨팅 플랫폼과 실제 임상 데이터의 융합이 새로운 치료 기회의 특정을 가속화할 수 있는 방법을 입증하고 있습니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 : 금리, 인플레이션, 지정학, 무역전쟁과 관세, 그리고 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별/국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

제36장 부록

JHS
영문 목차

영문목차

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

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 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.

Scope

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

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

6. Artificial Intelligence In Drug Repurposing Market Segmentation

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

8. Asia-Pacific Artificial Intelligence In Drug Repurposing Market

9. China Artificial Intelligence In Drug Repurposing Market

10. India Artificial Intelligence In Drug Repurposing Market

11. Japan Artificial Intelligence In Drug Repurposing Market

12. Australia Artificial Intelligence In Drug Repurposing Market

13. Indonesia Artificial Intelligence In Drug Repurposing Market

14. South Korea Artificial Intelligence In Drug Repurposing Market

15. Western Europe Artificial Intelligence In Drug Repurposing Market

16. UK Artificial Intelligence In Drug Repurposing Market

17. Germany Artificial Intelligence In Drug Repurposing Market

18. France Artificial Intelligence In Drug Repurposing Market

19. Italy Artificial Intelligence In Drug Repurposing Market

20. Spain Artificial Intelligence In Drug Repurposing Market

21. Eastern Europe Artificial Intelligence In Drug Repurposing Market

22. Russia Artificial Intelligence In Drug Repurposing Market

23. North America Artificial Intelligence In Drug Repurposing Market

24. USA Artificial Intelligence In Drug Repurposing Market

25. Canada Artificial Intelligence In Drug Repurposing Market

26. South America Artificial Intelligence In Drug Repurposing Market

27. Brazil Artificial Intelligence In Drug Repurposing Market

28. Middle East Artificial Intelligence In Drug Repurposing Market

29. Africa Artificial Intelligence In Drug Repurposing Market

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

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

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

36. Appendix

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