亚太药物发现市场规模、份额和趋势分析报告----2033年工业概况和预测

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亚太药物发现市场规模、份额和趋势分析报告----2033年工业概况和预测

亚太药物发现市场人工智能(AI),通过应用(新药候选者、药物优化和重新使用前药测试和批准、药物监测、发现与新疾病有关的指标和途径、了解疾病机制、聚合和合成信息、假药的形成和资格、德诺沃药物设计、寻找旧药和其他药物的药物目标)、技术(机器学习、深入学习、自然语言加工等)、药物类型(小分子和大分子)、提供(软件和服务)、指示(免疫肿瘤学、神经病、心血管病、Metabolic Dism等)、最终使用(合同研究组织、医药和生物技术公司、研究中心和学术研究所等) -- -- 工业趋势和预测至2033年

  • Healthcare
  • Aug 2022
  • Asia-Pacific
  • 350 页面
  • 桌子數: 220
  • 图号: 60

Asia Pacific Artificial Intelligence Ai In Drug Discovery Market

市场规模(十亿美元)

CAGR :  % Diagram

Chart Image USD 660.36 Million USD 17,753.93 Million 2025 2033
Diagram Forecast Period
2026 –2033
Diagram Market Size (Base Year)
USD 660.36 Million
Diagram Market Size (Forecast Year)
USD 17,753.93 Million
Diagram CAGR
%
Diagram Major Markets Players
  • Evotec SE(德国)
  • BioNTech SE(德国)

亚太药物发现市场人工智能(AI),通过应用(新药候选者、药物优化和重新使用前药测试和批准、药物监测、发现与新疾病有关的指标和途径、了解疾病机制、聚合和合成信息、假药的形成和资格、德诺沃药物设计、寻找旧药和其他药物的药物目标)、技术(机器学习、深入学习、自然语言加工等)、药物类型(小分子和大分子)、提供(软件和服务)、指示(免疫肿瘤学、神经病、心血管病、Metabolic Dism等)、最终使用(合同研究组织、医药和生物技术公司、研究中心和学术研究所等) -- -- 工业趋势和预测至2033年

亚太药物发现中的人工智能(AI)市场概况

亚太药物发现市场人工智能价值2025年6.6036亿美元预计将达到到2033年,177.5393亿美元,生长在一个2026至2033年的CAGR为50.9%本区域新兴经济体和发达经济体越来越多地采用由AI驱动的药物研究平台,对精密医学的投资不断增加,对更快和具有成本效益的药物开发进程的需求日益增加,这些都推动了市场的强劲扩张。

慢性和复杂疾病日益加重的负担,加上需要减少与传统药物发现相关的时间和成本,正在加快将机器学习,深层学习,和遗传性AI工具纳入早期研究. 此外,政府支持数字保健倡议、扩大生物技术启动生态系统以及制药公司与AI技术供应商之间的协作正在进一步推动采用。 AI驱动的目标识别,引领优化,预测模型建设,正日益成为整个亚太市场的现代药物发现工作流程的重要组成部分.

主要市场趋势和见解

  • 中国在药物发现市场主导了亚洲人工智能(AI),2025年收入份额最大,为38.6%,辅以强大的药物制造能力,生物技术企业的AI快速融合,以及政府对生命科学创新的重大支持投资.
  • 机器学习部分在2025年占据了42.6%的市场份额,其驱动力是其在预测模型、复合筛选和药物目标相互作用分析方面的广泛应用。
  • 印度预计将是增长最快的国家,在2026年至2033年的CAGR为19.4%,其推动力包括扩大合同研究组织、增加数字保健的采用以及增加AI创业企业和制药公司之间的合作。
  • 深处 学习是增长最快的技术,预计将登记23.1%的CAGR,这反映了对其处理蛋白质结构和基因组序列等复杂生物数据的优越能力的需求激增。
  • 小分子部分在2025年占了58.7%收入份额的毒品类别中占了主导地位,它与AI驱动的筛选平台和已确立的制造工艺具有很强的兼容性.
  • 软件占市场的63.2%,因为软件广泛采用AI平台、预测分析工具和药物模型系统。
  • 在老年人口中,阿尔茨海默病和帕金森病的发病率不断上升的推动下,Nerodegenerative Disease是增长最快的指标类别,CAGR为22.8%。

市场大小和预测

  • 全球市场价值(2025):6.6036亿美元
  • 预期市场价值(2033):17,753.93万美元
  • CAGR(2026-2033年):50.9%
  • 2025年领先国家:中国
  • 最快增长的国家:印度

Asia-Pacific Artificial Intelligence (AI) in Drug Discovery Market

报告范围和范围亚太药物发现市场的人工智能(AI)

属性

亚太人造情报(AI)药物发现关键市场透视

覆盖部分

  • 应用:新药候选者、药物优化和重新使用前临床测试和批准、药物监测、发现新疾病相关目标和途径、了解疾病机制、汇总和合成信息、假药的形成和资格、De Novo药物设计、寻找旧药的药物目标及其他
  • 按技术分列:机器学习、深层学习、自然语言处理等
  • 按药物类型: 小分子和大分子
  • 通过提供:软件和服务
  • 通过说明:免疫肿瘤学、神经内分泌性疾病、心血管疾病、内分泌性疾病等
  • 按最终使用合同研究组织、制药和生物技术公司、研究中心和学术机构及其他

涵盖国家

亚太

中国

* 日本

• 印度

韩国

新加坡

马来西亚

澳大利亚

泰国

印度尼西亚

菲律宾

亚太其他地区

关键市场玩家

• 妇女科学(吴.

• 妇女慈善机构(吴.

• 妇女异形实验室(吴.

• 妇女总统选举(德国)

• 妇女生化科技 SE(德国)

Merck KGaA(德国)

拜尔集团(德国)

AstraZeneca(英国)

GSK plc(英国)

萨诺菲(法国)

Servier(法国)

· 奥金(法国)

· Ginkgo生物工程(美国)

· 药品回收公司(美国)

· Schrödinger公司(美国)

诺华集团(瑞士)

* Roche控股公司(瑞士)

· Johnson & Johnson服务公司(美国)

· 辉瑞公司(美国)

• Insilico医学(香港)

市场机会

· 越来越多地采用新分子设计的基因AI

增加大规模基因组、临床和现实世界保健数据集的提供

· 对AI带动的药物研制和更快的审批途径的监管支持增加

添加数据信息集的值

除了对市场价值、增长率、分割、地理覆盖和主要角色等市场假设的深刻见解外,由数据桥市场研究编写的市场报告还包括深入的专家分析、病人流行病学、管道分析、定价分析和监管框架。

亚太药物发现市场趋势中的人工智能

趋势:扩大AI-Driven精密药物发现平台

亚洲的制药和生物技术公司正日益转向AI驱动的精密药物发现平台,以提高早期研发的速度、准确性和成功率。 这些平台整合了机器学习,基因AI,和多相通数据(基因组学,蛋白质组学,和元相通),以比传统方法更高效地识别出新的药物目标并优化铅化合物. 这种转变还使个人化的医学方法成为可能,特别是在肿瘤学和罕见疾病方面,在这种疾病中,病人特有的生物数据可以通过计算模型来预测治疗反应。

例如,2025年1月,Insilico Medicine扩展了中国由AI驱动的药物发现业务,加强了肿瘤药物候选者的管道,采用了以深入学习为基础的分子生成和强化学习模式。 这一发展突出了AI平台如何从实验工具转向整个亚洲的核心药物发现基础设施.

亚太药物发现市场动态中的人工智能

关键市场驱动力:对具有成本效益和加快药物开发的需求增加

整个亚洲的癌症、心血管疾病和神经系统疾病的发病率不断上升,给制药公司带来了巨大压力,要求它们加快药物发现时间,同时减少研发开支。 传统的药物开发往往要花十多年时间才能达到高故障率,从而使基于AI的解决方案对减少风险和提高效率具有很高的吸引力. AI技术可以对数十亿化合物进行虚拟筛选,预测毒性分析,并更快地优化铅,这大大降低了对昂贵实验室实验的依赖. 这在亚洲尤其重要,因为在亚洲,制药公司正在扩大创新能力,但与西方市场相比,仍然面临成本限制。

例如,2024年3月,Exscientia与一家设在日本的制药公司合作,加速AI辅助精密肿瘤药物设计. 该伙伴关系利用自动分子模型和主动学习算法来缩短化合物选择周期并改进候选人的质量。

关键限制/挑战:有限的数据标准化和高度整合的复杂性

尽管有强劲的采用势头,但药物发现市场的亚洲AI面临着与分散的生物医学数据集和研究机构、医院和生物技术公司的数据质量不一致有关的重大挑战。 AI系统需要大型的,标准化的,有详细说明的数据集来提供准确的预测,但许多组织在各国各自为政的数据环境和监管差异上挣扎. 此外,将AI平台与遗留的制药研发工作流程相融合是复杂的,因为许多公司仍然依赖传统的实验管道. 这导致业务效率低下,培训模式有限,以及AI驱动的对现实世界药物开发的洞察力部署较慢.

例如,2023年6月,印度的多家生物技术公司报告说,由于临床试验数据集不一致和多个研究机构的基因组数据来源分散,在验证基于AI的药物发现模型方面出现延误。 这反映了在整个区域统一采用人工智能方面存在更广泛的结构性限制。

主要市场机会:扩大AI-Enabled药物发现生态系统和协作

亚洲市场的主要机会在于迅速扩大合作生态系统,包括制药公司、AI创业企业、学术机构和政府支持的研究组织。 这些协作使得能够共享高性能计算基础设施,大型生物数据集,以及高级AI算法,大大降低了创新的入门障碍. 以云为基础的平台正在进一步使AI药物发现工具的获取民主化,使得较小的生物技术公司和研究实验室能够参与高层药物开发,而无需大量基础设施投资. 这种基于生态系统的方法在中国、韩国和日本等国家尤为有力,这些国家的国家举措正在积极促进AI驱动的保健创新。

例如,2025年9月,由韩国生物技术公司组成的联合体推出了一个全国AI药物发现平台,旨在支持协作研究、大规模虚拟筛选和共享复合图书馆。 这一举措表明生态系统层面的一体化正如何成为本区域的主要增长驱动力。

亚太发现市场范围内的人工智能

亚太药物发现市场人工智能(AI)按应用、技术、药物类型、提供、指示和最终用途划分。

  • 通过应用程序

在应用的基础上,药物发现市场的亚太AI被划分为新药候选,药物优化和再用,临床前测试和批准,药物监测,寻找与疾病相关的新目标和途径,了解疾病机制,汇总和综合信息,假说形成和资质,去新药设计,寻找旧药的药物靶等. 小说"候选药物"部分在2025年占据了29.8%的市场份额,由AI带动的早期药物发现管道的强劲需求所驱动. 整个亚太的制药公司正越来越多地使用AI模型,以更快、更成功地确定新的化学实体。 这一段得益于大规模基因组数据集和提高预测模型的准确性. 基于AI的虚拟筛选和分子模拟工具正在显著地缩短临床前发现时间. 对肿瘤学和罕见疾病研究的投资不断增加,这进一步加强了需求。 基因AI的持续进步正在增强复合新颖性和效率.

De Novo Drug Design段预计在2026年至2033年22.4%的CAGR中增长最快,由越来越多的使用基因AI和深层学习模型来创造出全新的分子结构所驱动. 这种方法消除了对现有复合图书馆的依赖,并可以更快地确定高潜力的药物候选人。 制药公司越来越多地采用AI驱动的基因化学平台来进行精密医学开发. 对高特异性肿瘤和神经退化性疾病疗法的需求正在加速采用。 以云为基础的计算基础设施进一步支持了再设计模型的可扩展性。 扩大AI创业企业与生物技术公司之间的合作也正在推动整个亚太市场的增长。

  • 按技术分列

以技术为基础,将市场分入机器学习,深度学习,自然语言加工等. 机器学习部分在2025年占了42.6%的市场份额,因为它广泛应用于预测模型、复合筛选和药物目标相互作用分析。 机器学习算法被制药公司广泛用于分析大型生物数据集并找出潜在的药物候选者. 该技术在早期研究中对于提高准确度和降低假阳性结果具有很高的效力. 与化学信息学和生物信息学平台的紧密结合正在进一步加强其采用. 不断提高算法效率和数据可用性,可加强市场主导. 它仍然是亚太地区大多数AI药物发现系统的基础技术.

深度学习部分预计在2026年至2033年23.1%的CAGR中增长最快,其驱动力在于其处理蛋白质结构和基因组序列等复杂生物数据的优越能力. 深入的学习模型能够更准确地预测药物-目标相互作用和疾病路径。 越来越多的高性能计算基础设施正在加速各研究组织的采用。 制药公司正在利用深神经网络进行基因药物设计和毒性预测。 对精密医学和个性化疗法的需求正在进一步增加。 以变压器为基础的模型的快速进步正在显著地增强药物发现能力.

  • 按药物类型

根据药物类型,市场被分入小分子和大分子药物. 小分子部分在2025年以58.7%的股权支配了市场,其驱动力是其与AI驱动的筛选平台和已确立的制造工艺的强烈兼容. 小分子更容易在计算上建模,使得它们成为基于AI的虚拟筛选和优化的理想. 制药公司更喜欢这一段,因为开发成本较低,监管路径也更快. 它被广泛用于肿瘤学,心血管和代谢疾病研究. AI技术大大加强了本段的铅识别和结构活性关系分析. 强大的历史数据可用性进一步支持模型培训和预测准确性.

在2026年至2033年的CAGR为21.7%的情况下,由于对生物逻辑学、单克隆抗体和蛋白质疗法的需求不断增长,大分子段的生长速度预计将最快。 AI被越来越多地用于模拟复杂的蛋白质结构并预测生物相互作用. 结构生物学和计算蛋白质折叠方面的进展正在加速采用。 制药公司正在大量投资于癌症和自体免疫疾病的生物记录学。 基于AI的优化工具正在提高大分子的稳定性和功效. 整个亚太的生物药物管道不断增长,这进一步推动了部分的扩展。

  • 通过提供

在提供的基础上,市场被分割成软件和服务. 软件部分在广泛采用AI平台、预测分析工具以及药物模型系统推动下,在2025年占了63.2%的市场份额。 软件解决方案是AI驱动的药物发现工作流程的核心,能够模拟,数据集成和复合筛选. 制药公司正越来越多地投资于综合AI平台来进行端到端的药物开发. 基于云的软件部署正在增强可扩展性和可获取性。 持续更新和算法改进正在加强软件的采用. 研发工作流程对自动化的强烈需求正在进一步加强支配地位。

由于对AI咨询、示范培训和数据管理服务的需求不断增加,预计服务业部门在2026年至2033年的CAGR增长最快,达到20.9%。 许多制药公司缺乏内部AI专门知识,越来越依赖外部服务提供商。 CRO和AI创业公司提供专门的药物发现支助服务。 一体化、定制化和维护服务对大赦国际的采用至关重要。 扩大药品研发的外包趋势进一步推动了增长。 人工智能系统日益复杂,也增加了对管理服务的需求。

  • 通过指示

根据指示,市场被划分为免疫肿瘤,神经退化性疾病,心血管疾病,代谢疾病等. 免疫肿瘤部分在2025年占了39.5%的市场主导地位,其驱动力是全球癌症负担沉重,并大力关注亚太的精确肿瘤研究. AI被广泛用于识别肿瘤生物标记,预测免疫反应,并设计定向疗法. 制药公司在AI分析公司的支持下对癌症药物管道进行了大量投资. 肿瘤数据集的提供率高,可以提高模型精度和发现速度. 越来越多地采用免疫疗法,进一步加强了部门主导地位。 癌症治疗战略的持续创新有助于持续增长。

由于老年人口中阿尔茨海默病和帕金森病的发病率上升,2026年至2033年的CAGR为22.8%,Nerodegeneral Disease是增长最快的。 AI越来越多地用于识别早期生物标记并预测疾病的发展. 该领域的药物发现得益于神经学数据集中AI驱动的模式识别. 有限的治疗方案正在推动研发方面的高投资。 制药公司正在利用AI加快CNS药物开发. 对早期诊断和干预的日益重视正在进一步支持扩展。

  • 按最终使用

根据最终用途,市场分为合同研究组织、制药和生物技术公司、研究中心和学术机构等。 制药和生物技术公司部分在2025年占了52.4%的市场份额,其驱动力是强大的投资能力和直接参与药物开发管道。 这些公司是AI技术的早期采用者,以提高发现和临床发展的效率. 将AI纳入内部研发工作流程正在改善决策并降低故障率. 大型数据集和专有化合物为模型培训提供了强大的优势. 与AI公司的战略伙伴关系正在进一步加强能力。 持续的数字转型举措支持长期主导地位。

合同研究组织(CROs)部分预计将是2026年至2033年21.9%的CAGR增长最快的部分,因为制药公司越来越多地外包药物发现活动。 国家办事处正在采用人工智能平台,以提供更快和更符合成本效益的研究服务。 扩大虚拟药物发现模式正在提高服务效率。 对灵活研发能力的需求日益增加,这推动了外包趋势。 国家办事处正在投资先进的AI基础设施,以保持竞争力。 国家办事处与生物技术初创企业之间日益加强的合作正在进一步加快增长。

亚太药物发现市场区域分析中的人工智能

中国在药物发现市场主导了亚洲人工智能(AI),2025年收入份额最大,为38.6%,辅以强大的药物制造能力,生物技术企业的AI快速融合,以及政府对生命科学创新的重大支持投资. 该国还受益于广泛的基因组数据库、迅速发展的生物技术生态系统以及AI技术供应商与制药公司之间日益加强的合作。 机能学习和深度学习平台跨越目标识别,引领优化,精准医学应用的部署不断增多,进一步加快了市场增长. 不断推进计算生物学,有利于创新的监管支持,日益重视加快新药研发,不断增强中国在亚太市场的领导地位.

印度人工智能在药物发现市场洞察

药物发现市场的印度AI正在出现强劲增长,原因是医药外包活动扩大,生物技术初创企业越来越多地采用AI,以及政府日益重视数字保健创新。 该国日益壮大的契约研究组织生态系统和大量具备熟练的数据科学人才,正在支持AI在早期药物开发中迅速融合. 此外,慢性病发病率不断上升,对具有成本效益的药物发现解决方案的需求也不断增加,这正在加速在制药公司和学术机构中采用。 全球制药公司同印度生物技术公司之间日益加强的合作正在进一步加强市场扩张。

日本人工智能(AI)药物发现市场透视

日本的药物发现市场AI在强大的药物研发基础设施、先进的计算生物学能力以及越来越多地采用精密医学方法的驱动下正在稳步增长。 制药公司和研究机构越来越多地利用AI进行分子筛选、生物标志发现和毒性预测。 此外,政府支持医疗保健数字化转型,增加对与老龄化有关的疾病研究的投资,正在推动AI的采用。 整合机器人,大数据分析,深度学习平台等,进一步提高了日本药物发现效率.

中国人工智能(AI)药物发现市场透视

由于政府对AI和生物技术创新的大力支持,大型制药制造能力,以及生命科学研发投资的增加,中国AI在药物发现市场中迅速扩张. 该国受益于庞大的生物医学数据集、强大的AI启动生态系统以及制药公司与技术提供者之间日益加强的合作。 AI被广泛用于目标识别,铅优化和肿瘤药物开发. 不断扩大国内生物技术企业规模,加大参与全球药物发现伙伴关系,进一步加强了中国在本地区的领导.

韩国人工智能在"药物发现市场透视"中

韩国AI在药物发现市场中稳步增长,原因是政府主导的强有力的创新方案,先进的数字保健基础设施,以及对基于AI的生物技术研究增加投资. 制药公司和学术机构越来越多地采用AI平台进行药物筛选、蛋白质模型制作和临床试验优化。 该国强大的半导体和数据基础设施也支持AI药物发现所需的高性能计算. 此外,生物技术公司和AI创业企业之间日益加强的合作正在加快精密医学和罕见疾病治疗方面的创新.

亚太药物发现市场份额人工智能

亚太人工智能(AI)在药物发现行业中主要由名副其实的公司领导,包括:

  • 外科(英国).
  • 仁爱会 (英国).
  • 异形实验室 (英国).
  • Evotec SE(德国)
  • BioNTech SE(德国)
  • 默克·克加阿(德国)
  • 拜耳公司(德国)
  • AstraZeneca (英国).
  • GSK plc (英国).
  • 萨诺菲(法国)
  • 塞尔维耶(法国)
  • 奥金(法国)
  • 银戈生物工程(美国).
  • 复用药(美国).
  • 施罗德丁格尔公司(美国)
  • 诺华公司(瑞士)
  • 罗什控股公司(瑞士)
  • Johnson & Johnson服务公司(美国)
  • 辉瑞股份有限公司(美国)
  • 仁西利科医学(香港)

亚太发现药物市场人工智能的最新发展

  • 2025年2月,Exscientia将其AI驱动的药物发现协作扩展到了整个亚太,以加快精密肿瘤学和免疫学药物开发方案. 该举措将机器学习模型与自动化化学和生物测试系统相融合,以精简药物发现工作流程并降低研发成本. 它还旨在提高早期管道的成功率,进一步加强该区域作为迅速扩大的AI动力制药创新中心的地位。
  • 2024年6月,Insilico Medicine宣布将其AI设计的药物INS018 055推进到第二阶段临床试验,进一步验证了它的基因AI药物发现平台. 药物针对的是异病性肺纤维化,并展示了基于AI的目标识别和分子生成技术所产生的有希望的结果. 这一发展突出了人工智能系统在提供临床上可行的药物候选物方面日益成熟,并加强了亚太在下一代药物创新方面的日益领先地位。
  • 2023年3月,Insilico Medicine发表了其AI-发现的药物INS018 055在"自然医学"中的临床试验结果,验证了基因AI在药物开发中的有效性. 该药物为异病性肺纤维化所开发,其设计采用了基于AI的分子生成和深层学习系统,证实AI所生成的化合物能成功发展为人类临床试验. 这一里程碑大大缩短了早期发现时间,标志着整个亚太由AI驱动的生物技术创新的突破
  • 2022年6月,Exscientia扩大了与日本的杉生制药公司的合作,以推进AI设计的以肿瘤学和神经科学疗法为重点的药物发现方案. 该伙伴关系将AI-动力分子设计与药物研发工作流程相整合,提高领先识别和优化的效率,并同时缩短开发时间. 这种合作反映出日本越来越多地采用精密医学的AI,并表明全球AI公司与亚洲制药公司之间跨界伙伴关系的作用越来越大。
  • 2021年8月,位于中国的AI药物发现公司XtalPi在香港证券交易所完成了IPO,标志着AI生物技术部门在亚洲最大的公开上市. 上市大大提高了投资者对AI驱动的药物发现平台的信心,并凸显出该区域计算化学和基于AI的分子模拟技术日益商业化. XtalPi利用量子物理,机器学习,和云计算来加快早期药物发现和化合物优化,强化了中国作为AI带动生命科学创新关键枢纽的地位.


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目录

1 INTRODUCTION

1.1 OBJECTIVES OF THE STUDY

1.2 MARKET DEFINITION

1.3 OVERVIEW OF ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET

1.4 CURRENCY AND PRICING

1.5 LIMITATIONS

1.6 MARKETS COVERED

2 MARKET SEGMENTATION

2.1 MARKETS COVERED

2.2 GEOGRAPHICAL SCOPE

2.3 YEARS CONSIDERED FOR THE STUDY

2.4 DBMR TRIPOD DATA VALIDATION MODEL

2.5 PRIMARY INTERVIEWS WITH KEY OPINION LEADERS

2.6 MULTIVARIATE MODELLING

2.7 MARKET APPLICATION COVERAGE GRID

2.8 SOURCE LIFELINE CURVE

2.9 DBMR MARKET POSITION GRID

2.1 VENDOR SHARE ANALYSIS

2.11 SECONDARY SOURCES

2.12 ASSUMPTIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHT

4.1 PESTEL ANALYSIS

4.2 PORETSR’S FIVE FORCES

5 MARKET OVERVIEW

5.1 DRIVERS

5.1.1 THE RISE IN INCIDENCE OF CHRONIC DISEASES PROPELS NEED FOR ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY

5.1.2 STRATEGIC COLLABORATIONS, PARTNERSHIPS, AND PRODUCTS LAUNCH

5.1.3 REDUCTION IN TOTAL TIME INVOLVED IN DRUG DISCOVERY PROCESS

5.1.4 ADVANCEMENT OF ARTIFICIAL INTELLIGENCE IN THE HEALTHCARE INDUSTRY

5.2 RESTRAINTS

5.2.1 HIGH COST ASSOCIATED WITH TECHNOLOGY AND TECHNICAL LIMITATIONS

5.2.2 DISADVANTAGES AND RISKS ASSOCIATED WITH AI IN DRUG DISCOVERY

5.2.3 LACK OF AVAILABLE QUALITY DATA

5.3 OPPORTUNITIES

5.3.1 RISE IN THE INVESTMENTS FOR R&D

5.3.2 RISING HEALTHCARE INFRASTRUCTURE

5.3.3 DEVELOPMENT OF NOVEL TOOLS

5.4 CHALLENGES

5.4.1 THE ASIA PACIFIC SHORTAGE OF AI TALENT

5.4.2 ETHICAL, LEGAL, AND REGULATORY ISSUES FOR AI ADOPTION IN THE PHARMACEUTICAL SCIENCES

6 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING

6.1 OVERVIEW

6.2 SOFTWARE

6.2.1 INTEGRATED

6.2.2 STANDALONE

6.3 SERVICES

7 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY

7.1 OVERVIEW

7.2 MACHINE LEARNING (ML)

7.2.1 SUPERVISED LEARNING

7.2.2 UNSUPERVISED LEARNING

7.2.3 REINFORCEMENT LEARNING

7.3 DEEP LEARNING

7.4 NATURAL LANGUAGE PROCESSING (NLP)

7.5 OTHERS

8 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET , BY DRUG TYPE

8.1 OVERVIEW

8.2 SMALL MOLECULE

8.3 LARGE MOLECULE

9 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION

9.1 OVERVIEW

9.2 NOVEL DRUG CANDIDATES

9.2.1 PREDICT BIOACTIVITY OF SMALL MOLECULE

9.2.2 IDENTIFY BIOLOGICS TARGET

9.2.3 OTHERS

9.3 DRUG OPTIMISATION AND RE-PURPOSING PRE-CLINICAL TESTING AND APPROVAL

9.4 DRUG MONITORING

9.5 AGGREGATING AND SYNTHESIZING INFORMATION

9.6 DE NOVO DRUG DESIGN

9.7 FINDING DRUG TARGETS OF AN OLD DRUG

9.8 FORMATION & QUALIFICATION OF HYPOTHESES

9.9 UNDERSTANDING DISEASE MECHANISMS

9.1 FINDING NEW DISEASE-ASSOCIATED TARGETS AND PATHWAYS

9.11 OTHERS

10 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION

10.1 OVERVIEW

10.2 IMMUNE-ONCOLOGY

10.2.1 BREAST CANCER

10.2.2 LUNG CANCER

10.2.3 COLORECTAL CANCER

10.2.4 PROSTATE CANCER

10.2.5 PANCREATIC CANCER

10.2.6 BRAIN CANCER

10.2.7 LEUKEMIA

10.2.8 OTHERS

10.3 NEURODEGENERATIVE DISEASES

10.4 CARDIOVASCULAR DISEASES

10.5 METABOLIC DISEASES

10.6 OTHERS

11 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET , BY END USE

11.1 OVERVIEW

11.2 CONTRACT RESEARCH ORGANIZATIONS

11.3 PHARMACEUTICAL & BIOTECHNOLOGY COMPANIES

11.4 RESEARCH CENTERS AND ACADEMIC INSTITUTES

11.5 OTHERS

12 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION

12.1 ASIA-PACIFIC

12.1.1 CHINA

12.1.2 JAPAN

12.1.3 SOUTH KOREA

12.1.4 INDIA

12.1.5 AUSTRALIA & NEW ZEALAND

12.1.6 SINGAPORE

12.1.7 THAILAND

12.1.8 MALAYSIA

12.1.9 INDONESIA

12.1.10 PHILIPPINES

12.1.11 REST OF ASIA-PACIFIC

13 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: COMPANY LANDSCAPE

13.1 COMPANY SHARE ANALYSIS: ASIA PACIFIC

14 SWOT ANALYSIS

15 COMPANY PROFILES

15.1 NVIDIA CORPORATION

15.1.1 COMPANY SNAPSHOT

15.1.2 REVENUE ANALYSIS

15.1.3 COMPANY SHARE ANALYSIS

15.1.4 PRODUCT PORTFOLIO

15.1.5 RECENT DEVELOPMENTS

15.2 MICROSOFT

15.2.1 COMPANY SNAPSHOT

15.2.2 REVENUE ANALYSIS

15.2.3 COMPANY SHARE ANALYSIS

15.2.4 PRODUCT PORTFOLIO

15.2.5 RECENT DEVELOPMENT

15.3 IBM CORP

15.3.1 COMPANY SNAPSHOT

15.3.2 REVENUE ANALYSIS

15.3.3 COMPANY SHARE ANALYSIS

15.3.4 PRODUCT PORTFOLIO

15.3.5 RECENT DEVELOPMENT

15.4 SCHRÖDINGER, INC.

15.4.1 COMPANY SNAPSHOT

15.4.2 REVENUE ANALYSIS

15.4.3 COMPANY SHARE ANALYSIS

15.4.4 PRODUCT PORTFOLIO

15.4.5 RECENT DEVELOPMENTS

15.5 BERG LLC

15.5.1 COMPANY SNAPSHOT

15.5.2 COMPANY SHARE ANALYSIS

15.5.3 PRODUCT PORTFOLIO

15.5.4 RECENT DEVELOPMENTS

15.6 ARDIGEN

15.6.1 COMPANY SNAPSHOT

15.6.2 PRODUCT PORTFOLIO

15.6.3 RECENT DEVELOPMENTS

15.7 EXSCIENTIA

15.7.1 COMPANY SNAPSHOT

15.7.2 REVENUE ANALYSIS

15.7.3 PRODUCT PORTFOLIO

15.7.4 RECENT DEVELOPMENTS

15.8 ARIA PHARMACEUTICALS, INC.

15.8.1 COMPANY SNAPSHOT

15.8.2 PRODUCT PORTFOLIO

15.8.3 RECENT DEVELOPMENTS

15.9 ATOMWISE INC.

15.9.1 COMPANY SNAPSHOT

15.9.2 PRODUCT PORTFOLIO

15.9.3 RECENT DEVELOPMENTS

15.1 BENEVOLENT AI

15.10.1 COMPANY SNAPSHOT

15.10.2 REVENUE ANALYSIS

15.10.3 PRODUCT PORTFOLIO

15.10.4 RECENT DEVELOPMENTS

15.11 BIOAGE INC.,

15.11.1 COMPANY SNAPSHOT

15.11.2 PRODUCT PORTFOLIO

15.11.3 RECENT DEVELOPMENTS

15.12 CLOUD

15.12.1 COMPANY SNAPSHOT

15.12.2 PRODUCT PORTFOLIO

15.12.3 RECENT DEVELOPMENT

15.13 CYCLICA

15.13.1 COMPANY SNAPSHOT

15.13.2 PRODUCT PORTFOLIO

15.13.3 RECENT DEVELOPMENTS

15.14 DEEP GENOMICS

15.14.1 COMPANY SNAPSHOT

15.14.2 PRODUCT PORTFOLIO

15.14.3 RECENT DEVELOPMENTS

15.15 ENVISAGENICS

15.15.1 COMPANY SNAPSHOT

15.15.2 PRODUCT PORTFOLIO

15.15.3 RECENT DEVELOPMENTS

15.16 INSILICO MEDICINE

15.16.1 COMPANY SNAPSHOT

15.16.2 PRODUCT PORTFOLIO

15.16.3 RECENT DEVELOPMENTS

15.17 NUMEDII, INC.

15.17.1 COMPANY SNAPSHOT

15.17.2 PRODUCT PORTFOLIO

15.17.3 RECENT DEVELOPMENT

15.18 OWKIN INC.

15.18.1 COMPANY SNAPSHOT

15.18.2 PRODUCT PORTFOLIO

15.18.3 RECENT DEVELOPMENT

15.19 XTALPI INC.

15.19.1 COMPANY SNAPSHOT

15.19.2 PRODUCT PORTFOLIO

15.19.3 RECENT DEVELOPMENTS

16 QUESTIONNAIRE

17 RELATED REPORTS

表格列表

TABLE 1 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)

TABLE 2 ASIA PACIFIC SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)

TABLE 3 ASIA PACIFIC SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)

TABLE 4 ASIA PACIFIC SERVICES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)

TABLE 5 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)

TABLE 6 ASIA PACIFIC MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)

TABLE 7 ASIA PACIFIC MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)

TABLE 8 ASIA PACIFIC DEEP LEARNING IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)

TABLE 9 ASIA PACIFIC NATURAL LANGUAGE PROCESSING (NLP) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)

TABLE 10 ASIA PACIFIC OTHERS IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)

TABLE 11 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)

TABLE 12 ASIA PACIFIC SMALL MOLECULE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)

TABLE 13 ASIA PACIFIC LARGE MOLECULE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)

TABLE 14 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)

TABLE 15 ASIA PACIFIC NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)

TABLE 16 ASIA PACIFIC NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)

TABLE 17 ASIA PACIFIC DRUG OPTIMISATION AND RE-PURPOSING PRE-CLINICAL TESTING AND APPROVAL IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)

TABLE 18 ASIA PACIFIC DRUG MONITORING IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)

TABLE 19 ASIA PACIFIC AGGREGATING AND SYNTHESIZING INFORMATION IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)

TABLE 20 ASIA PACIFIC DE NOVO DRUG DESIGN IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)

TABLE 21 ASIA PACIFIC FINDING DRUG TARGETS OF AN OLD DRUG IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)

TABLE 22 ASIA PACIFIC FORMATION & QUALIFICATION OF HYPOTHESES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)

TABLE 23 ASIA PACIFIC UNDERSTANDING DISEASE MECHANISMS IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)

TABLE 24 ASIA PACIFIC FINDING NEW DISEASE-ASSOCIATED TARGETS AND PATHWAYS IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)

TABLE 25 ASIA PACIFIC OTHERS IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)

TABLE 26 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)

TABLE 27 ASIA PACIFIC IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)

TABLE 28 ASIA PACIFIC IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)

TABLE 29 ASIA PACIFIC NEURODEGENERATIVE DISEASES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)

TABLE 30 ASIA PACIFIC CARDIOVASCULAR DISEASES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)

TABLE 31 ASIA PACIFIC METABOLIC DISEASES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)

TABLE 32 ASIA PACIFIC OTHERS IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)

TABLE 33 GLOB ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)

TABLE 34 ASIA PACIFIC CONTRACT RESEARCH ORGANIZATIONS IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)

TABLE 35 ASIA PACIFIC PHARMACEUTICAL & BIOTECHNOLOGY COMPANIES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)

TABLE 36 ASIA PACIFIC RESEARCH CENTRES AND ACADEMIC INSTITUTES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)

TABLE 37 ASIA PACIFIC OTHERS IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)

TABLE 38 ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY COUNTRY, 2020-2029 (USD MILLION)

TABLE 39 ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)

TABLE 40 ASIA-PACIFIC SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)

TABLE 41 ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)

TABLE 42 ASIA-PACIFIC MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)

TABLE 43 ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)

TABLE 44 ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)

TABLE 45 ASIA-PACIFIC NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)

TABLE 46 ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)

TABLE 47 ASIA-PACIFIC IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)

TABLE 48 ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)

TABLE 49 CHINA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)

TABLE 50 CHINA SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)

TABLE 51 CHINA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)

TABLE 52 CHINA MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)

TABLE 53 CHINA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)

TABLE 54 CHINA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)

TABLE 55 CHINA NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)

TABLE 56 CHINA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)

TABLE 57 CHINA IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)

TABLE 58 CHINA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)

TABLE 59 JAPAN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)

TABLE 60 JAPAN SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)

TABLE 61 JAPAN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)

TABLE 62 JAPAN MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)

TABLE 63 JAPAN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)

TABLE 64 JAPAN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)

TABLE 65 JAPAN NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)

TABLE 66 JAPAN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)

TABLE 67 JAPAN IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)

TABLE 68 JAPAN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)

TABLE 69 SOUTH KOREA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)

TABLE 70 SOUTH KOREA SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)

TABLE 71 SOUTH KOREA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)

TABLE 72 SOUTH KOREA MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)

TABLE 73 SOUTH KOREA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)

TABLE 74 SOUTH KOREA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)

TABLE 75 SOUTH KOREA NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)

TABLE 76 SOUTH KOREA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)

TABLE 77 SOUTH KOREA IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)

TABLE 78 SOUTH KOREA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)

TABLE 79 INDIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)

TABLE 80 INDIA SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)

TABLE 81 INDIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)

TABLE 82 INDIA MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)

TABLE 83 INDIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)

TABLE 84 INDIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)

TABLE 85 INDIA NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)

TABLE 86 INDIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)

TABLE 87 INDIA IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)

TABLE 88 INDIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)

TABLE 89 AUSTRALIA & NEW ZEALAND ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)

TABLE 90 AUSTRALIA & NEW ZEALAND SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)

TABLE 91 AUSTRALIA & NEW ZEALAND ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)

TABLE 92 AUSTRALIA & NEW ZEALAND MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)

TABLE 93 AUSTRALIA & NEW ZEALAND ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)

TABLE 94 AUSTRALIA & NEW ZEALAND ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)

TABLE 95 AUSTRALIA & NEW ZEALAND NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)

TABLE 96 AUSTRALIA & NEW ZEALAND ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)

TABLE 97 AUSTRALIA & NEW ZEALAND IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)

TABLE 98 AUSTRALIA & NEW ZEALAND ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)

TABLE 99 SINGAPORE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)

TABLE 100 SINGAPORE SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)

TABLE 101 SINGAPORE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)

TABLE 102 SINGAPORE MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)

TABLE 103 SINGAPORE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)

TABLE 104 SINGAPORE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)

TABLE 105 SINGAPORE NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)

TABLE 106 SINGAPORE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)

TABLE 107 SINGAPORE IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)

TABLE 108 SINGAPORE AARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)

TABLE 109 THAILAND ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)

TABLE 110 THAILAND SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)

TABLE 111 THAILAND ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)

TABLE 112 THAILAND MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)

TABLE 113 THAILAND ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)

TABLE 114 THAILAND ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)

TABLE 115 THAILAND NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)

TABLE 116 THAILAND ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)

TABLE 117 THAILAND IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)

TABLE 118 THAILAND ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)

TABLE 119 MALAYSIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)

TABLE 120 MALAYSIA SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)

TABLE 121 MALAYSIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)

TABLE 122 MALAYSIA MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)

TABLE 123 MALAYSIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)

TABLE 124 MALAYSIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)

TABLE 125 MALAYSIA NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)

TABLE 126 MALAYSIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)

TABLE 127 MALAYSIA IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)

TABLE 128 MALAYSIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)

TABLE 129 INDONESIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)

TABLE 130 INDONESIA SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)

TABLE 131 INDONESIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)

TABLE 132 INDONESIA MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)

TABLE 133 INDONESIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)

TABLE 134 INDONESIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)

TABLE 135 INDONESIA NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)

TABLE 136 INDONESIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)

TABLE 137 INDONESIA IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)

TABLE 138 INDONESIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)

TABLE 139 PHILIPPINES ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)

TABLE 140 PHILIPPINES SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)

TABLE 141 PHILIPPINES ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)

TABLE 142 PHILIPPINES MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)

TABLE 143 PHILIPPINES ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)

TABLE 144 PHILIPPINES ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)

TABLE 145 PHILIPPINES NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)

TABLE 146 PHILIPPINES ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)

TABLE 147 PHILIPPINES IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)

TABLE 148 PHILIPPINES ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)

TABLE 149 REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)

图片列表

FIGURE 1 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: SEGMENTATION

FIGURE 2 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: DATA TRIANGULATION

FIGURE 3 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: DROC ANALYSIS

FIGURE 4 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: ASIA PACIFIC VS REGIONAL MARKET ANALYSIS

FIGURE 5 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: COMPANY RESEARCH ANALYSIS

FIGURE 6 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: INTERVIEW DEMOGRAPHICS

FIGURE 7 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: MARKET APPLICATION COVERAGE GRID

FIGURE 8 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: DBMR MARKET POSITION GRID

FIGURE 9 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: VENDOR SHARE ANALYSIS

FIGURE 10 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: SEGMENTATION

FIGURE 11 THE GROWING NEED TO CURB DRUG DISCOVERY COSTS AND REDUCE TIME INVOLVED IN THE DRUG DEVELOPMENT PROCESS, THE RISING ADOPTION OF CLOUD-BASED APPLICATIONS AND SERVICES, AND THE IMPENDING PATENT EXPIRY OF BLOCKBUSTER DRUGS ARE EXPECTED TO DRIVE THE GROWTH OF THE ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET IN THE FORECAST PERIOD OF 2022 TO 2029

FIGURE 12 SOFTWARE IS EXPECTED TO ACCOUNT FOR THE LARGEST SHARE OF THE ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET IN 2022 AND 2029

FIGURE 13 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES OF THE ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET

FIGURE 14 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY OFFERING, 2021

FIGURE 15 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY OFFERING, 2022-2029 (USD MILLION)

FIGURE 16 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY OFFERING, CAGR (2022-2029)

FIGURE 17 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY OFFERING, LIFELINE CURVE

FIGURE 18 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY TECHNOLOGY, 2021

FIGURE 19 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY TECHNOLOGY, 2022-2029 (USD MILLION)

FIGURE 20 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY TECHNOLOGY, CAGR (2022-2029)

FIGURE 21 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY TECHNOLOGY, LIFELINE CURVE

FIGURE 22 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET : BY DRUG TYPE, 2021

FIGURE 23 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET : BY DRUG TYPE, 2022-2029 (USD MILLION)

FIGURE 24 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET : BY DRUG TYPE, CAGR (2022-2029)

FIGURE 25 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET : BY DRUG TYPE, LIFELINE CURVE

FIGURE 26 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY APPLICATION, 2021

FIGURE 27 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY APPLICATION, 2020-2029 (USD MILLION)

FIGURE 28 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY APPLICATION, CAGR (2022-2029)

FIGURE 29 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY APPLICATION, LIFELINE CURVE

FIGURE 30 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY INDICATION, 2021

FIGURE 31 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY INDICATION, 2020-2029 (USD MILLION)

FIGURE 32 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY INDICATION, CAGR (2022-2029)

FIGURE 33 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY INDICATION, LIFELINE CURVE

FIGURE 34 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY END USE, 2021

FIGURE 35 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY END USE, 2022-2029 (USD MILLION)

FIGURE 36 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET : BY END USE, CAGR (2022-2029)

FIGURE 37 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET : BY END USE, LIFELINE CURVE

FIGURE 38 ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: SNAPSHOT (2021)

FIGURE 39 ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY COUNTRY (2021)

FIGURE 40 ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY COUNTRY (2022 & 2029)

FIGURE 41 ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY COUNTRY (2021 & 2029)

FIGURE 42 ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY OFFERING (2022-2029)

FIGURE 43 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: COMPANY SHARE 2021 (%)

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研究方法

数据收集和基准年分析是使用具有大样本量的数据收集模块完成的。该阶段包括通过各种来源和策略获取市场信息或相关数据。它包括提前检查和规划从过去获得的所有数据。它同样包括检查不同信息源中出现的信息不一致。使用市场统计和连贯模型分析和估计市场数据。此外,市场份额分析和关键趋势分析是市场报告中的主要成功因素。要了解更多信息,请请求分析师致电或下拉您的询问。

DBMR 研究团队使用的关键研究方法是数据三角测量,其中包括数据挖掘、数据变量对市场影响的分析和主要(行业专家)验证。数据模型包括供应商定位网格、市场时间线分析、市场概览和指南、公司定位网格、专利分析、定价分析、公司市场份额分析、测量标准、全球与区域和供应商份额分析。要了解有关研究方法的更多信息,请向我们的行业专家咨询。

可定制

Data Bridge Market Research 是高级形成性研究领域的领导者。我们为向现有和新客户提供符合其目标的数据和分析而感到自豪。报告可定制,包括目标品牌的价格趋势分析、了解其他国家的市场(索取国家列表)、临床试验结果数据、文献综述、翻新市场和产品基础分析。目标竞争对手的市场分析可以从基于技术的分析到市场组合策略进行分析。我们可以按照您所需的格式和数据样式添加您需要的任意数量的竞争对手数据。我们的分析师团队还可以为您提供原始 Excel 文件数据透视表(事实手册)中的数据,或者可以帮助您根据报告中的数据集创建演示文稿。

常见问题

到2029年, " 发现毒品市场 " 中的亚太人工智能将价值34.24404亿美元。
药物发现市场中的亚太人工智能(AI)增长率到2029年将达到50.9%.
慢性病发病率的上升促使AI在药物发现、战略合作、伙伴关系和产品发布方面对AI的需求,是亚太发现药物市场人工智能(AI)的增长动力。
应用、技术、药物类型、提供、指示和最终使用是《发现药物市场》中亚太人工智能研究的依据。
亚太药物发现市场人工智能(AI)的主要公司有NVIDIA公司、IBM公司、Atomwise公司、微软、慈善AI、Aria制药公司、DEEP GENOMICS、Excientia、Cloud、Insilico Medicine、Cyclica、Numedii、Envisagens、Owkin Inc.、BERG LLC、Schrödinger、XtalPi和BIOAGE Inc.

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