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市场调查报告书
商品编码
1909990
2040 年生物製药的未来Future of Bio-Pharma Industry, 2040 |
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人工智慧 (AI) 的应用将为生物製药价值链带来变革性成长。
生物製药产业在过去几十年中不断发展演变。本研究分析了2040年将影响生物製药产业未来发展的十大趋势。
生物製药的未来将由人工智慧和机器学习(尤其是生成式人工智慧)的创新,以及转化医学和合成生物学的进步所驱动。未来生物製剂的临床开发将专注于个人化医疗,并在药物开发过程中更多地采用分散式临床试验。在生物製剂生产方面,药物递送技术的新方法和进步将彻底改变药物的给药方式。这将改善药物传递的治疗效果,最终带来更好的治疗结果。
随着企业推行绿色环保措施和永续原料采购以减少对环境的影响,製造业和供应链的永续性变得越来越重要。
在商业方面,数位疗法和无人机配送等新兴技术将发挥日益重要的作用。就不断扩张的生物製药市场而言,新兴市场,尤其是中国,预计将在未来几年内成为生物製药研发和商业化的关键区域,其重要性日益凸显。生物製药监管环境将持续发展以适应科学进步,美国FDA和EMA等监管机构将加强与生物製药公司的合作,以确保患者能够及时获得挽救生命的治疗。未来几年,主要市场中基于价值的生物製剂报销体系将更加突出。
大型科技公司正透过人工智慧驱动的蛋白质预测、分子筛检和标靶辨识平台,彻底革新药物发现领域。云端原生模拟和新兴的量子运算正在缩短临床前开发週期,而研发即服务(R&DaaS)模式则使生物製药公司无需大量内部投资即可使用这些工具。
Adoption of Artificial Intelligence Is Driving Transformational Growth Across the Biopharma Value Chain
The biopharma industry has been evolving over the past few decades. This study analyses the top ten trends that will impact the future of the biopharma industry through 2040.
The future of biopharma will be driven by innovation in AI and ML, particularly generative AI, and by advancements in translational medicine and synthetic biology. Future clinical development of biologics will focus on personalized medicine and will leverage more decentralized clinical trials in the drug development process. In biologics manufacturing, novel approaches and advancements in drug delivery will transform how medications are administered. This will improve therapeutic outcomes in drug delivery and transform the way medications are administered, thereby improving therapeutic outcomes.
Sustainability in manufacturing and supply chain will become more important as companies increasingly focus on reducing their environmental footprint by adopting green practices and sustainably sourcing raw materials.
On the commercial side, new age technologies (such as digital therapeutics and drone delivery) will play an increasingly greater role. In terms of biopharma market expansion, emerging markets will gain importance - especially China, which will become an important region for biopharma R&D to commercialization in the coming years. The biopharma regulatory landscape will continue to evolve to keep pace with scientific advancements, while agencies such as the US FDA and EMA will collaborate more with biopharmaceutical companies to ensure patients have timely access to life-saving therapies. Value-based reimbursement will gain greater prominence in the coming years for biologics in major markets.
Big tech will revolutionize drug discovery through AI-driven platforms for protein prediction, molecular screening, and target identification. Cloud-native simulations and emerging quantum computing will accelerate preclinical timelines, while R&D-as-a-service models will give biopharma access to these tools without heavy in-house investment.