한글목차

최근 몇 년동안 제약 업계는 디지털 전환의 물결에 휩쓸려 제약 가치사슬의 다양한 측면에서 첨단 기술의 통합이 진행되고 있습니다. 인공지능(AI)과 빅데이터는 신약 개발 강화부터 임상시험 설계 최적화까지 혁신을 주도하는 최전선에 있습니다.

신약 개발 과정은 매우 비싸고 시간이 많이 소요되는 과정입니다. 최근 기술 동향에도 불구하고 연구개발(R&D)의 성공률은 매우 낮으며, 효율성과 성과를 개선하기 위해 AI와 같은 혁신 기술의 필요성이 강조되고 있습니다.

이 보고서는 Drug Discovery 분야 AI 시장을 조사했으며, 의료, 거시경제, 기술, 규제 동향이 Drug Discovery 분야 AI에 미치는 영향에 대한 생각과 예측을 정리한 것입니다.

목차

도표

표 리스트

• 참여 기업
• 테마별 브리핑
• 동향
• 업계 분석
• 밸류체인
• 기업
• 의약품 개발 카드
• 약어
• 기타 정보
• 저자에 대해
• 테마별 조사 방법

영문목차

In recent years, the pharma industry has been taken over by a wave of digital transformation, leading to the integration of advanced technologies across different aspects of the pharma value chain.

Artificial intelligence (AI) and big data are at the forefront of driving innovation, from enhancing drug discovery to optimizing clinical trial design.

The drug discovery process is a very expensive and time-consuming process. Despite recent technological advancements, the success rate of research and development (R&D) is very low, adding emphasis to the need for innovative technologies, such as AI, to improve efficiency and outcomes.

This report consolidates GlobalData's latest thinking and forecasts around how the healthcare, macroeconomic, technology, and regulatory trends will impact the AI in drug discovery, as well as providing insights into the leading players and future disruptors across the value chain, and providing insights into key drugs and markets from GlobalData's Pharma Intelligence Center. Additionally, this report is designed to provide strategic planners, competitive intelligence professionals and key stakeholders in the pharmaceutical industry a clear view of the opportunities and risks over the foreseeable future for AI.

Scope

• A dedicated report examining the pivotal healthcare, technological, macroeconomic, and regulatory trends shaping the AI-driven drug discovery landscape. This report also provides an in-depth analysis of how these trends are poised to either accelerate progress or create obstacles for the growth of the AI in drug discovery market.

Reasons to Buy

• Understand the key trends accelerating or hindering the AI in drug discovery space.
• See market forecasts for different therapies within AI up to 2028.
• Understand recent and influential developments in AI.
• Review of leaders and disruptors across the AI value chain.

Table of Contents

Table of Contents

List of Figures

List of Tables

• Players
• Thematic Briefing
• Trends
• Industry Analysis
• Value Chain
• Companies
• Drug Development Scorecard
• Abbreviations
• Further Reading
• About the Authors
• Our Thematic Research Methodology