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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
상품코드 : 1619278
리서치사 : SkyQuest
발행일 : 2024년 12월
페이지 정보 : 영문 157 Pages
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한글목차

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

조사 방법

주요 요약

시장 역학과 전망

주요 시장 인사이트

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

신약개발 AI 시장 규모 : 기술별 & CAGR(2024-2031)

신약개발 AI 시장 규모 : 용도별 & CAGR(2024-2031)

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

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

신약개발 AI 시장 규모 & CAGR(2024-2031)

경쟁 정보

주요 기업 프로파일

결론과 권장사항

JHS
영문 목차

영문목차

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

Research Methodology

Executive Summary

Market Dynamics & Outlook

Key Market Insights

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

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

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

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

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

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

Competitive Intelligence

Key Company Profiles

Conclusion & Recommendation

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