![]() |
市场调查报告书
商品编码
1400595
预测毒理学中的人工智慧市场规模—按技术(机器学习、自然语言处理、电脑视觉)、毒性终点(基因毒性、肝毒性、神经毒性、心臟毒性)、组件、最终用户和全球预测,2023 -2032 年AI in Predictive Toxicology Market Size-By Technology (Machine Learning, Natural Language Processing, Computer Vision), Toxicity Endpoints (Genotoxicity, Hepatotoxicity, Neurotoxicity, Cardiotoxicity), Component, End User & Global Forecast, 2023-2032 |
由于全球对高效药物开发方法的需求不断增长,预测毒理学中的人工智慧市场规模预计从 2023 年到 2032 年将以超过 29.5% 的CAGR扩大。考虑到製药业寻求加速药物发现和开发过程的创新方法,人工智慧已成为一种变革性工具。人工智慧驱动的预测毒理学模型能够及早识别潜在毒性,从而简化决策并减少耗时且昂贵的实验测试的需要。
此外,不断增长的道德考虑以及尽量减少动物实验的监管压力迫使多个行业采用替代方法。例如,印度政府授权修订《新药和临床试验规则》(2023 年),以消除在研究(特别是药物测试)中使用动物。这种向永续研发方法的零残忍和人道实践的转变将促进产业成长。
预测毒理学产业中的人工智慧分为成分、技术、毒性终点、最终用户和区域。
根据组成部分,服务领域的市场份额在2022 年产生了可观的收入,预计到2032 年将实现可观的增长。人工智慧驱动的服务在预测毒理学中至关重要,因为它们为製药和化学行业提供了对潜在毒性问题的宝贵见解。药物开发和产品测试。此外,对准确、高效的毒理学预测的需求不断增长,对基于人工智慧的服务的需求激增,以增强决策和监管合规性。
就最终用户而言,预计化学和化妆品领域的人工智慧预测毒理学市场将在2023 年至2032 年实现强劲增长。这可归因于化学和化妆品行业对安全评估和监管合规性的重视程度不断提高。基于人工智慧的预测毒理学解决方案为潜在风险和成分毒性提供了宝贵的见解。对化学配方和化妆品中准确毒性预测的需求不断增长也可能推动该领域的扩张。
从地区来看,亚太地区预测毒理学产业的人工智慧预计将在2023 年至2032 年间呈现显着的成长速度。这归因于製药和生物技术产业的不断扩大,以及该地区对人工智慧技术投资的增加。随着监管机构强调安全评估,人工智慧应用被广泛部署,为毒性测试提供高效、准确的预测模型。此外,产业参与者与研究机构之间不断加强的合作也将加速区域产业扩张。
AI in Predictive Toxicology Market size is projected to expand at over 29.5% CAGR from 2023-2032 propelled by the growing demand for efficient drug development methods worldwide. AI has emerged as a transformative tool considering the innovative approaches sought by the pharmaceutical sector to accelerate drug discovery and development processes. AI-powered predictive toxicology models enable the early identification of potential toxicities, for streamlining decision-making and reducing the need for time-consuming and costly experimental testing.
Furthermore, the rising ethical considerations along with regulatory pressures to minimize animal experimentation are compelling several industries to adopt alternative methods. For instance, the Government of India authorized an amendment to the New Drugs and Clinical Trial Rules (2023) to eliminate the use of animals in research, particularly drug testing. This shift towards cruelty-free and humane practices for sustainable R&D approaches will boost the industry growth.
The AI in predictive toxicology industry is segmented into component, technology, toxicity endpoint, end user, and region.
Based on component, the market share from the services segment generated substantial revenue in 2022 and is estimated to record considerable growth through 2032. AI-driven services are essential in predictive toxicology as they provide pharmaceutical and chemical sectors with valuable insights into potential toxicity issues during drug development and product testing. Additionally, the growing demand for accurate and efficient toxicology predictions is surging the need for AI-based services for enhanced decision-making and regulatory compliance.
In terms of end user, the AI in predictive toxicology market from the chemical & cosmetics segment is anticipated to depict robust growth from 2023 to 2032. This can be attributed to rising prioritization of the chemical and cosmetics sectors on safety assessments and regulatory compliance. AI-based predictive toxicology solutions offer valuable insights into potential risks and the toxicity of ingredients. The growing need for accurate toxicity predictions in chemical formulations and cosmetic products is also likely to fuel the segment expansion.
Regionally, the Asia Pacific AI in predictive toxicology industry is poised to exhibit a notable growth rate between 2023 and 2032. This is attributed to the expanding pharmaceutical and biotechnology industries coupled with the increasing investments in AI technologies across the region. With regulatory agencies emphasizing safety assessments, AI applications are widely deployed to offer efficient and accurate predictive models for toxicity testing. Moreover, the rising collaborative efforts between industry players and research institutions will also accelerate the regional industry expansion.