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세계의 신약개발 AI 시장 - 규모, 점유율, 성장 분석 : 컴포넌트별, 기술별, 용도별, 지역별 산업 예측(2024-2031년)

AI In Drug Discovery Market Size, Share, Growth Analysis, By Component (Software, Services), By Technology (Machine Learning, Deep Learning), By Application, By Region - Industry Forecast 2024-2031

발행일: | 리서치사: SkyQuest | 페이지 정보: 영문 157 Pages | 배송안내 : 3-5일 (영업일 기준)

    
    
    



※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

신약개발 AI 세계 시장 규모는 2022년에 18억 달러로 평가되었고, 2023년의 23억 4,000만 달러에서 2031년에는 193억 5,000만 달러로 성장할 것으로 예상되며 예측 기간중(2024-2031년)의 CAGR은 30.2%로 나타날 전망입니다.

생명과학 분야에서 혁신적인 치료법의 요구와 제조 능력을 강화하여 AI를 활용한 의약품 개발 솔루션 수요가 급증하고 있습니다. 화합물의 스크리닝과 임상시험의 성공률을 향상시킴으로써 창약에 혁명을 가져오고 있습니다. 임상시험에 대한 AI의 통합은 정확성, 효율성을 높이고 개발주기를 단축함으로써 상황을 일변시키고 있습니다. 특히 제약기업과 AI기업과의 전략적 제휴는 크게 증가하고 있으며, 약물의 신속화에 있어서의 AI의 중요한 역할이 부각되고 있습니다.

목차

소개

  • 조사의 목적
  • 조사 범위
  • 정의

조사 방법

  • 정보 조달
  • 2차 데이터와 1차 데이터의 방법
  • 시장 규모 예측
  • 시장의 전제조건과 제한

주요 요약

  • 세계 시장 전망
  • 공급과 수요 동향 분석
  • 부문별 기회 분석

시장 역학과 전망

  • 시장 개요
  • 시장 규모
  • 시장 역학
    • 성장 촉진요인과 기회
    • 억제요인과 과제
  • Porter's Five Forces 분석과 영향
    • 경쟁 기업간 경쟁 관계
    • 대체품의 위협
    • 구매자의 협상력
    • 신규 진입업자의 위협
    • 공급기업의 협상력

주요 시장 인사이트

  • 중요성공요인
  • 경쟁도
  • 주요 투자 기회
  • 시장 생태계
  • 시장의 매력 지수(2023년)
  • PESTEL 분석
  • 거시경제지표
  • 밸류체인 분석
  • 가격 분석
  • 기술의 진보
  • 규제 상황
  • 특허 분석
  • 사례 연구
  • 스타트업 분석

신약개발 AI 시장 규모 : 컴포넌트별 & CAGR(2024-2031)

  • 시장 개요
  • 소프트웨어
    • 머신러닝
    • 딥러닝
    • 기타
  • 서비스
    • 구현 서비스
    • 유지보수 및 지원
    • 기타

신약개발 AI 시장 규모 : 기술별 & CAGR(2024-2031)

  • 시장 개요
  • 머신러닝
    • 지도 학습
    • 비지도 학습
    • 강화 학습
  • 딥러닝
  • 자연언어처리(NLP)
  • 기타

신약개발 AI 시장 규모 : 용도별 & CAGR(2024-2031)

  • 시장 개요
  • 타겟 식별
  • 분자 스크리닝
  • 리드 최적화
  • 전임상시험
  • 임상시험
  • 기타

신약개발 AI 시장 규모 : 치료 영역별 & CAGR(2024-2031)

  • 시장 개요
  • 종양학
  • 신경퇴행성 질환
  • 심혈관 질환
  • 대사성 질환
  • 감염증
  • 기타

신약개발 AI 시장 규모 : 최종 용도별 & CAGR(2024-2031)

  • 시장 개요
  • 제약·바이오테크놀러지 기업
  • 계약연구기관(CRO)
  • 학술연구기관
  • 기타

신약개발 AI 시장 규모 & CAGR(2024-2031)

  • 북미
    • 미국
    • 캐나다
  • 유럽
    • 영국
    • 독일
    • 스페인
    • 프랑스
    • 이탈리아
    • 기타 유럽
  • 아시아태평양
    • 중국
    • 인도
    • 일본
    • 한국
    • 기타 아시아태평양
  • 라틴아메리카
    • 브라질
    • 기타 라틴아메리카
  • 중동 및 아프리카
    • GCC 국가
    • 남아프리카
    • 기타 중동 및 아프리카

경쟁 정보

  • 상위 5개사 비교
  • 주요 기업의 시장 포지셔닝(2023년)
  • 주요 시장 기업이 채용한 전략
  • 시장의 최근 동향
  • 기업의 시장 점유율 분석(2023년)
  • 주요 기업의 기업 프로파일
    • 기업 개요
    • 제품 포트폴리오 분석
    • 부문별 점유율 분석
    • 수익의 전년대비 비교(2021-2023)

주요 기업 프로파일

  • IBM Corporation
  • NVIDIA Corporation
  • Microsoft Corporation
  • Exscientia
  • Atomwise, Inc.
  • BenevolentAI
  • Insilico Medicine
  • Cyclica
  • Schrodinger, Inc.
  • Cloud Pharmaceuticals, Inc.
  • BioSymetrics
  • XtalPi Inc.
  • Deep Genomics
  • Numerate, Inc.
  • Berg LLC
  • OWKIN, Inc.
  • TwoXAR, Inc.
  • Verge Genomics
  • Recursion Pharmaceuticals
  • PathAI

결론과 권장사항

JHS 25.01.14

Global AI in Drug Discovery Market size was valued at USD 1.80 billion in 2022 and is poised to grow from USD 2.34 billion in 2023 to USD 19.35 billion by 2031, growing at a CAGR of 30.2% during the forecast period (2024-2031).

The demand for AI-powered drug development solutions is surging in response to the need for innovative medical cures and enhanced manufacturing capabilities in the life sciences sector. Technologies like machine learning and deep learning are revolutionizing drug discovery by improving initial compound screening and clinical trial success rates. With a growing influx of funding, investments, and startups focused on AI applications, the market is poised for accelerated growth. AI's integration into clinical trials is transforming the landscape by enhancing accuracy, efficiency, and reducing development cycles. Notably, strategic collaborations between pharma companies and AI firms rose significantly from 2015 to 2020, highlighting AI's vital role in expediting drug discovery. The versatility of AI technologies, including data mining and customization, further propels this upward trajectory.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Ai In Drug Discovery market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Ai In Drug Discovery Market Segmental Analysis

Global AI in Drug Discovery Market is segmented by component, technology, application, therapeutic area, end use and region. Based on component, the market is segmented into software and services. Based on technology, the market is segmented into machine learning, deep learning, natural language processing (NLP) and others. Based on application, the market is segmented into target identification, molecule screening, lead optimization, preclinical testing, clinical trials and others. Based on therapeutic area, the market is segmented into oncology, neurodegenerative diseases, cardiovascular diseases, metabolic diseases, infectious diseases and others. Based on end use, the market is segmented into pharmaceutical & biotechnology companies, contract research organizations (CROs), academic & research institutes and others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global Ai In Drug Discovery Market

A significant driver of the Global AI in Drug Discovery market is the escalating investment in medical technology. As organizations strive for rapid advancements in drug discovery, substantial funding is directed towards research and development initiatives, especially in artificial intelligence and machine learning. These technologies not only streamline the identification of viable drug candidates but also significantly shorten the duration of clinical trials. Consequently, this leads to more efficient drug development processes, resulting in drugs reaching the market faster and at a reduced cost. The focus on innovative healthcare solutions continues to propel growth in this sector, underlining its essential role in modern therapeutics.

Restraints in the Global Ai In Drug Discovery Market

One of the main obstacles hindering the global AI in drug discovery market is the challenge of data security and privacy. Given the sensitive nature of healthcare data, there is a significant risk of breaches, leading to ethical and legal concerns. Companies in this sector must navigate strict regulations regarding data privacy and cybersecurity, which can elevate operational costs and result in delays in the adoption of AI-driven drug development solutions. As a result, the apprehension surrounding data handling can impede the growth and efficiency of AI applications in the pharmaceutical industry.

Market Trends of the Global Ai In Drug Discovery Market

The global AI in drug discovery market is witnessing a significant trend driven by the increasing application of AI in preclinical and clinical research. By leveraging advanced AI models, researchers are now able to identify biomarkers for disease progression, refine clinical trial designs, and predict patient responses with greater precision. This not only mitigates the risk of trial failures but also accelerates the testing process, ensuring timely identification of promising drug candidates. Enhanced accuracy in trial procedures and improved patient enrollment strategies are further propelling this trend, positioning AI as a crucial element in revolutionizing drug development and expediting the path to market for new therapeutics.

Table of Contents

Introduction

  • Objectives of the Study
  • Scope of the Report
  • Definitions

Research Methodology

  • Information Procurement
  • Secondary & Primary Data Methods
  • Market Size Estimation
  • Market Assumptions & Limitations

Executive Summary

  • Global Market Outlook
  • Supply & Demand Trend Analysis
  • Segmental Opportunity Analysis

Market Dynamics & Outlook

  • Market Overview
  • Market Size
  • Market Dynamics
    • Driver & Opportunities
    • Restraints & Challenges
  • Porters Analysis & Impact
    • Competitive rivalry
    • Threat of substitute
    • Bargaining power of buyers
    • Threat of new entrants
    • Bargaining power of suppliers

Key Market Insights

  • Key Success Factors
  • Degree of Competition
  • Top Investment Pockets
  • Market Ecosystem
  • Market Attractiveness Index, 2023
  • PESTEL Analysis
  • Macro-Economic Indicators
  • Value Chain Analysis
  • Pricing Analysis
  • Technological Advancement
  • Regulatory Landscape
  • Patent Analysis
  • Case Studies
  • Startup Analysis

Global AI in Drug Discovery Market Size by Component & CAGR (2024-2031)

  • Market Overview
  • Software
    • Machine Learning
    • Deep Learning
    • Others
  • Services
    • Implementation Services
    • Maintenance & Support
    • Others

Global AI in Drug Discovery Market Size by Technology & CAGR (2024-2031)

  • Market Overview
  • Machine Learning
    • Supervised Learning
    • Unsupervised Learning
    • Reinforcement Learning
  • Deep Learning
  • Natural Language Processing (NLP)
  • Others

Global AI in Drug Discovery Market Size by Application & CAGR (2024-2031)

  • Market Overview
  • Target Identification
  • Molecule Screening
  • Lead Optimization
  • Preclinical Testing
  • Clinical Trials
  • Others

Global AI in Drug Discovery Market Size by Therapeutic Area & CAGR (2024-2031)

  • Market Overview
  • Oncology
  • Neurodegenerative Diseases
  • Cardiovascular Diseases
  • Metabolic Diseases
  • Infectious Diseases
  • Others

Global AI in Drug Discovery Market Size by End Use & CAGR (2024-2031)

  • Market Overview
  • Pharmaceutical & Biotechnology Companies
  • Contract Research Organizations (CROs)
  • Academic & Research Institutes
  • Others

Global AI in Drug Discovery Market Size & CAGR (2024-2031)

  • North America, (Component, Technology, Application, Therapeutic Area, End Use)
    • US
    • Canada
  • Europe, (Component, Technology, Application, Therapeutic Area, End Use)
    • UK
    • Germany
    • Spain
    • France
    • Italy
    • Rest of Europe
  • Asia-Pacific, (Component, Technology, Application, Therapeutic Area, End Use)
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia Pacific
  • Latin America, (Component, Technology, Application, Therapeutic Area, End Use)
    • Brazil
    • Rest of Latin America
  • Middle East & Africa, (Component, Technology, Application, Therapeutic Area, End Use)
    • GCC Countries
    • South Africa
    • Rest of Middle East & Africa

Competitive Intelligence

  • Top 5 Player Comparison
  • Market Positioning of Key Players, 2023
  • Strategies Adopted by Key Market Players
  • Recent Developments in the Market
  • Company Market Share Analysis, 2023
  • Company Profiles of All Key Players
    • Company Details
    • Product Portfolio Analysis
    • Company's Segmental Share Analysis
    • Revenue Y-O-Y Comparison (2021-2023)

Key Company Profiles

  • IBM Corporation
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • NVIDIA Corporation
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Microsoft Corporation
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Exscientia
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Atomwise, Inc.
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • BenevolentAI
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Insilico Medicine
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Cyclica
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Schrodinger, Inc.
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Cloud Pharmaceuticals, Inc.
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • BioSymetrics
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • XtalPi Inc.
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Deep Genomics
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Numerate, Inc.
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Berg LLC
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • OWKIN, Inc.
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • TwoXAR, Inc.
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Verge Genomics
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Recursion Pharmaceuticals
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • PathAI
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments

Conclusion & Recommendation

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