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市場調查報告書
商品編碼
1909990
生物製藥的未來,2040年Future of Bio-Pharma Industry, 2040 |
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人工智慧(AI)的應用將為生物製藥價值鏈帶來變革性成長。
生物製藥產業在過去幾十年中不斷發展演變。本研究分析了2040年將影響生物製藥產業未來發展的十大趨勢。
生物製藥的未來將由人工智慧和機器學習(尤其是生成式人工智慧)的創新,以及轉化醫學和合成生物學的進步所驅動。未來生物製劑的臨床開發將專注於個人化醫療,並在藥物開發過程中更多地採用分散式臨床試驗。在生物製劑生產方面,藥物遞送技術的新方法和進步將徹底改變藥物的給藥方式。這將改善藥物傳遞的治療效果,最終帶來更好的治療結果。
隨著企業推行綠色環保措施和永續原料採購以減少對環境的影響,製造業和供應鏈的永續性變得越來越重要。
在商業方面,數位療法和無人機配送等新興技術將發揮日益重要的作用。就不斷擴張的生物製藥市場而言,新興市場,尤其是中國,預計將在未來幾年內成為生物製藥研發和商業化的關鍵區域,其重要性日益凸顯。生物製藥監管環境將持續發展以適應科學進步,美國FDA和EMA等監管機構將加強與生物製藥公司的合作,以確保患者能夠及時獲得挽救生命的治療。未來幾年,主要市場中基於價值的生物製劑償付體系將更加突出。
大型科技公司正透過人工智慧驅動的蛋白質預測、分子篩檢和標靶辨識平台,徹底革新藥物發現領域。雲端原生模擬和新興的量子運算縮短臨床前開發週期,而研發即服務(R&DaaS)模式則使生物製藥公司無需大量內部投資即可使用這些工具。
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.