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市場調查報告書
商品編碼
1400595
預測毒理學中的人工智慧市場規模—按技術(機器學習、自然語言處理、電腦視覺)、毒性終點(基因毒性、肝毒性、神經毒性、心臟毒性)、組件、最終用戶和全球預測,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 |
由於全球對高效藥物開發方法的需求不斷成長,預測毒理學中的人工智慧市場規模預計從 2023 年到 2032 年將以超過 29.5% 的CAGR擴大。考慮到製藥業尋求加速藥物發現和開發過程的創新方法,人工智慧已成為一種變革性工具。人工智慧驅動的預測毒理學模型能夠及早識別潛在毒性,從而簡化決策並減少耗時且昂貴的實驗測試的需要。
此外,不斷成長的道德考慮以及盡量減少動物實驗的監管壓力迫使多個行業採用替代方法。例如,印度政府授權修訂《新藥和臨床試驗規則》(2023 年),以消除在研究(特別是藥物測試)中使用動物。這種向永續研發方法的零殘忍和人道實踐的轉變將促進產業成長。
預測毒理學產業中的人工智慧分為成分、技術、毒性終點、最終用戶和區域。
根據組成部分,服務領域的市場佔有率在2022 年產生了可觀的收入,預計到2032 年將實現可觀的成長。人工智慧驅動的服務在預測毒理學中至關重要,因為它們為製藥和化學行業提供了對潛在毒性問題的寶貴見解。藥物開發和產品測試。此外,對準確、高效的毒理學預測的需求不斷成長,對基於人工智慧的服務的需求激增,以增強決策和監管合規性。
就最終用戶而言,預計化學和化妝品領域的人工智慧預測毒理學市場將在2023 年至2032 年實現強勁成長。這可歸因於化學和化妝品行業對安全評估和監管合規性的重視程度不斷提高。基於人工智慧的預測毒理學解決方案為潛在風險和成分毒性提供了寶貴的見解。對化學配方和化妝品中準確毒性預測的需求不斷成長也可能推動該領域的擴張。
從地區來看,亞太地區預測毒理學產業的人工智慧預計將在2023 年至2032 年間呈現顯著的成長速度。這歸因於製藥和生物技術產業的不斷擴大,以及該地區對人工智慧技術投資的增加。隨著監管機構強調安全評估,人工智慧應用被廣泛部署,為毒性測試提供高效、準確的預測模型。此外,產業參與者與研究機構之間不斷加強的合作也將加速區域產業擴張。
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.