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全球药物发现资讯学市场研究报告 - 2024 年至 2032 年行业分析、规模、份额、成长、趋势和预测Global Drug Discovery Informatics Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2024 to 2032 |
全球药物发现资讯学市场需求预计将从 2023 年的 37.8 亿美元达到 2032 年近 103.7 亿美元的市场规模,2024-2032 年研究期间复合年增长率为 11.86%。
药物发现资讯学涉及计算和资讯技术的应用来加速药物发现和开发过程。它包括一系列工具和平台,旨在促进药物发现各个阶段的资料管理、分析和视觉化——从标靶识别和验证到先导化合物优化和临床前测试。它整合了生物资讯学、化学资讯学、分子建模和系统生物学方法,以提高效率、降低成本并提高药物发现专案的成功率。透过利用人工智慧、巨量资料分析和机器学习演算法,资讯学平台使研究人员能够分析大量数据集,预测化合物活性,并优先考虑候选药物进行实验验证,从而简化新疗法的发现。
将新药推向市场的复杂性和成本不断增加,以及对创新疗法来解决未满足的医疗需求的需求,推动了对资讯学解决方案的需求。药物发现资讯学使製药公司和研究机构能够加快识别有前途的候选药物、优化分子结构并更准确地预测药理特性。运算方法和高效能运算能力的进步增强了资讯学平台的能力。人工智慧和机器学习演算法的整合改进了预测建模、虚拟筛选和分子动力学模拟,从而加速了先导化合物的识别,并减少了临床前研究所需的时间和资源。此外,大规模生物和化学数据集(包括基因组资料、蛋白质组资料和化合物库)的可用性不断增加,为药物发现资讯学提供了机会。资讯学工具使研究人员能够挖掘这些数据集以获得新的见解、生物标记发现和个人化医疗应用,从而促进整个製药业的协作和创新。然而,不同资讯学平台和专有资料库之间的互通性挑战和资料整合复杂性是药物发现资讯学市场成长的重大障碍。
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,这些工具也对全球药物发现资讯学市场的每个细分市场进行包容性评估。药物发现资讯学产业的成长和趋势为这项研究提供了一种整体方法。
药物发现资讯学市场报告的这一部分提供了国家和区域层面细分市场的详细资料,从而帮助策略师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药物发现资讯学市场当前和未来的需求。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。药物发现资讯学市场的主要参与者包括 Certara、勃林格殷格翰国际有限公司、Infosys Ltd.、Charles River Laboratories、Collaborative Drug Discovery Inc.、Eurofins DiscoverX Products、Jubliant Biosys、Selvita、Novo Informatics Pvt.。 Ltd.、ChemAxon Ltd.、奥尔巴尼分子研究公司、甲骨文、埃森哲、安捷伦科技公司、Illumina 公司。财务概览、合作、新产品开发、新产品发布和其他开发。
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The global demand for Drug Discovery Informatics Market is presumed to reach the market size of nearly USD 10.37 Billion by 2032 from USD 3.78 Billion in 2023 with a CAGR of 11.86% under the study period 2024-2032.
Drug discovery informatics involves the application of computational and informational technologies to accelerate the drug discovery and development process. It includes a range of tools & platforms designed to facilitate data management, analysis, and visualization across various stages of drug discovery-from target identification and validation to lead optimization and preclinical testing. It integrates bioinformatics, cheminformatics, molecular modeling, and systems biology approaches to enhance efficiency, reduce costs, and improve the success rate of drug discovery programs. By leveraging artificial intelligence, big data analytics, and machine learning algorithms, informatics platforms enable researchers to analyze vast datasets, predict compound activities, and prioritize candidates for experimental validation, thereby streamlining the discovery of novel therapeutics.
The increasing complexity and cost of bringing new drugs to market and the need for innovative therapies to address unmet medical needs drive demand for informatics solutions. Drug discovery informatics enables pharmaceutical companies and research institutions to expedite the identification of promising drug candidates, optimize molecular structures, and predict pharmacological properties more accurately. Advancements in computational methodologies and high-performance computing capabilities enhance the capabilities of informatics platforms. Integrating AI and machine learning algorithms improves predictive modeling, virtual screening, and molecular dynamics simulations, thereby accelerating the identification of lead compounds and reducing the time and resources required for preclinical studies. Moreover, the growing availability of large-scale biological and chemical datasets, including genomics data, proteomics data, and compound libraries, presents opportunities for drug discovery informatics. Informatics tools enable researchers to mine these datasets for novel insights, biomarker discovery, and personalized medicine applications, fostering collaboration and innovation across the pharmaceutical industry. However, interoperability challenges and data integration complexities across diverse informatics platforms and proprietary databases are significant barriers to drug discovery informatics market growth.
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 Drug Discovery Informatics. The growth and trends of Drug Discovery Informatics industry provide a holistic approach to this study.
This section of the Drug Discovery Informatics 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 Drug Discovery Informatics 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 Drug Discovery Informatics market include Certara, Boehringer Ingelheim International GmbH, Infosys Ltd., Charles River Laboratories, Collaborative Drug Discovery Inc., Eurofins DiscoverX Products, Jubliant Biosys, Selvita, Novo Informatics Pvt. Ltd., ChemAxon Ltd., Albany Molecular Research Inc., Oracle, Accenture, Agilent Technologies Inc., Illumina 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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