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波士顿咨询:2025端到端人工智能转型驱动下的生物制药行业未来研究报告(英文版)(28页).pdf

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1、Executive PerspectivesDecember 2025BiopharmaThe Future of Biopharma with E2E AI Transformation2Copyright 2025 by Boston Consulting Group.All rights reserved.IntroductionWe meet often with CEOs to discuss AI-a topic that is both captivating and rapidly changing.After working with over 2,000 clients i

2、n the past 2+years,we are sharing our most recent learning in a new series designed to help CEOs navigate AI.With most sectors going through major shifts,the focus in 2025 is on how to leverage AI to fully transform organizations and create new sources of competitive advantage.In this edition,we dis

3、cuss the future of Biopharma and the role AI will play in turbocharging growth.We address key questions on the minds of Biopharma executives:How can AI reshape competitiveness in Biopharma?What does it mean to operate as an AI-first enterprise end-to-end?How are leading players creating value with A

4、I today?What pragmatic steps should I take to scale impact?This document is a guide for Biopharma executives to cut through the hype around AI and understand what creates value now and in the future.In this BCG Executive Perspective,we articulate the vision and value of the future of Biopharma with

5、AI3Copyright 2025 by Boston Consulting Group.All rights reserved.Executive summary|The future of Biopharma with E2E AI transformationWHY now is the right time to actWHAT leading Biopharma companies are doing to create value leveraging AIHOW to start the journey to become an AI-first enterprise Marke

6、t pressures require transformations across R&D,ops,and commercial;rising R&D costs and longer timelines are unsustainable;AI has already shown it can cut discovery from 4-5 years to 8 months and accelerate trials by 20%AI is now a proven enterprise enabler;beyond pilots,scaled use is driving+23%yiel

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根据《》标记中的内容,以下是全文关键点的概括: 1. **AI在生物制药领域的应用**:AI正在重塑生物制药行业的研发、运营和商业环节,通过缩短研发周期、提高生产效率和优化临床试验设计来提升竞争力。 2. **AI带来的价值**: - 研发:AI驱动的分子设计将平均发现周期缩短20-45%,AI增强的临床试验设计将试验执行加速10-20%。 - 商业:AI辅助的现场合作人员提高了20-30%的FTE效率,AI辅助的产量优化提高了15-30%的批次产量。 - 运营和供应链:AI辅助的产量优化提高了批次产量,AI驱动的维护和预测优化了库存管理。 3. **AI实施策略**: - **部署**:采用现成的AI工具来提高日常工作效率。 - **重塑**:重新设计端到端的工作流程和流程。 - **创新**:开发AI原生产品和服务。 4. **AI实施的关键**: - **数据**:确保数据质量、丰富性和更新频率。 - **技术**:构建或购买适合需求的定制解决方案。 - **人才**:吸引和培养AI人才。 - **流程**:定义新的工作方式以加速价值创造。 5. **AI实施的成功因素**: - **领导力**:将AI视为战略优先事项。 - **投资**:对AI进行长期资本承诺。 - **人才**:建立精英AI团队。 - **文化**:培养AI优先思维。
"AI如何重塑生物制药竞争力?" "成为AI优先企业,企业该怎么做?" "生物制药AI应用,未来趋势揭秘!"
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