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全球人工智慧在製药和生物技术市场研究报告 - 2024 年至 2032 年行业分析、规模、份额、成长、趋势和预测Global AI in Pharma and Biotech Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2024 to 2032 |
全球製药和生物技术市场对人工智慧的需求预计将从 2023 年的 24.3 亿美元达到 2032 年近 118.8 亿美元的市场规模,2024-2051 年研究期间复合年增长率为 19.28%。
製药和生物技术领域的人工智慧利用人工智慧来增强药物发现、开发和製造的各个方面。人工智慧演算法分析大量资料集,以识别潜在的候选药物、预测临床试验结果并优化生产流程。该技术加快了研究进度、降低了成本并提高了预测模型的准确性。应用包括个人化医疗,其中人工智慧有助于根据个人基因图谱客製化治疗方案,以及日常任务的自动化,从而提高製药和生物技术行业的效率和创新。
由于生物医学资料的复杂性和数量不断增加,製药和生物技术市场的人工智慧正在显着增长,需要先进的分析工具来进行有效的处理和解释。包括机器学习和深度学习在内的人工智慧技术,透过识别潜在候选药物、预测其疗效和优化临床试验设计来触发药物发现和开发。此外,人工智慧与个人化医疗的整合正在彻底改变患者护理,允许根据个人基因图谱和病史製定量身定制的治疗计划。降低药物开发成本的努力以及加快新疗法上市时间的需求也推动了人工智慧在製药和生物技术领域的采用。人工智慧驱动的解决方案可提高生产力和决策能力,降低与研发相关的财务风险。此外,监管机构越来越认识到人工智慧在提高药品审批流程的准确性和效率方面的潜力,并鼓励製药公司投资人工智慧技术。科技公司和製药公司之间的合作正在促进创新并扩大人工智慧在药物开发和疾病管理各个阶段的应用。随着对精准医疗和高效医疗保健解决方案的需求不断增长,人工智慧在製药和生物技术领域的采用预计将继续增加,推动市场进一步扩张。然而,高昂的实施成本和资料隐私问题可能会挑战未来几年的市场成长。
研究报告涵盖波特五力模型、市场吸引力分析和价值链分析。这些工具有助于清晰地了解行业结构并评估全球范围内的竞争吸引力。此外,这些工具还对全球製药和生物技术人工智慧市场的各个细分市场进行了包容性评估。人工智慧在製药和生物技术行业的成长和趋势为本研究提供了整体方法。
製药和生物技术市场报告中的人工智慧部分提供了国家和地区层面的详细资料,从而帮助策略家确定相应产品或服务的目标人群以及即将到来的机会。
本节涵盖区域展望,重点介绍北美、欧洲、亚太地区、拉丁美洲以及中东和非洲的製药和生物技术市场对人工智慧当前和未来的需求。此外,该报告重点关注所有主要地区各个应用领域的需求、估计和预测。
该研究报告还涵盖了市场主要参与者的全面概况以及对全球竞争格局的深入了解。製药和生物技术市场人工智慧的主要参与者包括 BenevolentAI SA、Insilico Medicine、Recursion Pharmaceuticals、Atomwise Inc.、Berg LLC、Cloud Pharmaceuticals、Deep Genomics、Exscientia、SchroDinger、TwoXar Inc。例如关键併购、未来产能、合作伙伴关係、财务概况、合作、新产品开发、新产品发布和其他发展。
如果您有任何客製化要求,请写信给我们。我们的研究团队可以根据您的需求提供客製化报告。
The global demand for AI in Pharma and Biotech Market is presumed to reach the market size of nearly USD 11.88 Billion by 2032 from USD 2.43 Billion in 2023 with a CAGR of 19.28% under the study period 2024-2051.
AI in pharma and biotech uses artificial intelligence to enhance various aspects of drug discovery, development, and manufacturing. AI algorithms analyze vast datasets to identify potential drug candidates, predict clinical trial outcomes, and optimize production processes. This technology accelerates research timelines, reduces costs, and increases the accuracy of predictive models. Applications include personalized medicine, where AI helps tailor treatments to individual genetic profiles, and automation of routine tasks, improving efficiency and innovation in the pharmaceutical and biotech industries.
The AI in the pharma and biotech market is witnessing significant growth attributed to the escalating complexity and volume of biomedical data, necessitating advanced analytical tools for efficient processing and interpretation. AI technologies, including machine learning & deep learning, trigger drug discovery & development by identifying potential drug candidates, predicting their efficacy, and optimizing clinical trial designs. Additionally, the integration of AI in personalized medicine is revolutionizing patient care by allowing the development of tailored treatment plans based on individual genetic profiles and medical histories. The push for cost reduction in drug development and the need for faster time-to-market for new therapies also propel the adoption of AI in Pharma and Biotech. AI-driven solutions enhance productivity and decision-making capabilities, reducing the financial risks associated with R&D. Furthermore, regulatory bodies are increasingly recognizing the potential of AI to enhance the accuracy & efficiency of drug approval processes, encouraging pharmaceutical companies to invest in AI technologies. Collaborations between tech companies and pharmaceutical firms are fostering innovation and expanding the application of AI in various phases of drug development and disease management. As the demand for precision medicine and efficient healthcare solutions grows, the adoption of AI in pharma and biotechs is expected to continue rising, driving further market expansion. However, high implementation costs and data privacy concerns may challenge the market growth in the coming years.
The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of AI in Pharma and Biotech. The growth and trends of AI in Pharma and Biotech industry provide a holistic approach to this study.
This section of the AI in Pharma and Biotech market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.
This section covers the regional outlook, which accentuates current and future demand for the AI in Pharma and Biotech market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the AI in Pharma and Biotech market include BenevolentAI SA, Insilico Medicine, Recursion Pharmaceuticals, Atomwise Inc., Berg LLC, Cloud Pharmaceuticals, Deep Genomics, Exscientia, SchroDinger, TwoXar Inc. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
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