市場調查報告書
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全球人工智慧在製藥和生物技術市場研究報告 - 2024 年至 2032 年行業分析、規模、佔有率、成長、趨勢和預測Global AI in Pharma and Biotech Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2024 to 2032 |
全球製藥和生物技術市場對人工智慧的需求預計將從 2023 年的 24.3 億美元達到 2032 年近 118.8 億美元的市場規模,2024-2051 年研究期間複合年成長率為 19.28%。
製藥和生物技術領域的人工智慧利用人工智慧來增強藥物發現、開發和製造的各個方面。人工智慧演算法分析大量資料集,以識別潛在的候選藥物、預測臨床試驗結果並最佳化生產流程。該技術加快了研究進度、降低了成本並提高了預測模型的準確性。應用包括個人化醫療,其中人工智慧有助於根據個人基因圖譜客製化治療方案,以及日常任務的自動化,從而提高製藥和生物技術行業的效率和創新。
由於生物醫學資料的複雜性和數量不斷增加,製藥和生物技術市場的人工智慧正在顯著成長,需要先進的分析工具來進行有效的處理和解釋。包括機器學習和深度學習在內的人工智慧技術,透過識別潛在候選藥物、預測其療效和最佳化臨床試驗設計來觸發藥物發現和開發。此外,人工智慧與個人化醫療的整合正在徹底改變患者護理,允許根據個人基因圖譜和病史製定量身定做的治療計劃。降低藥物開發成本的努力以及加快新療法上市時間的需求也推動了人工智慧在製藥和生物技術領域的採用。人工智慧驅動的解決方案可提高生產力和決策能力,降低與研發相關的財務風險。此外,監管機構越來越認知到人工智慧在提高藥品核准流程的準確性和效率方面的潛力,並鼓勵製藥公司投資人工智慧技術。科技公司和製藥公司之間的合作正在促進創新並擴大人工智慧在藥物開發和疾病管理各個階段的應用。隨著對精準醫療和高效醫療保健解決方案的需求不斷成長,人工智慧在製藥和生物技術領域的採用預計將繼續增加,推動市場進一步擴張。然而,高昂的實施成本和資料隱私問題可能會挑戰未來幾年的市場成長。
研究報告涵蓋波特五力模型、市場吸引力分析和價值鏈分析。這些工具有助於清晰地了解行業結構並評估全球範圍內的競爭吸引力。此外,這些工具還對全球製藥和生物技術人工智慧市場的各個細分市場進行了包容性評估。人工智慧在製藥和生物技術行業的成長和趨勢為本研究提供了整體方法。
製藥和生物技術市場報告中的人工智慧部分提供了國家和地區層面的詳細資料,從而幫助策略家確定相應產品或服務的目標人群以及即將到來的機會。
本節涵蓋區域展望,重點介紹北美、歐洲、亞太地區、拉丁美洲以及中東和非洲的製藥和生物技術市場對人工智慧當前和未來的需求。此外,該報告重點關注所有主要地區各個應用領域的需求、估計和預測。
該研究報告還涵蓋了市場主要參與者的全面概況以及對全球競爭格局的深入了解。製藥和生物技術市場人工智慧的主要參與者包括 BenevolentAI SA、Insilico Medicine、Recursion Pharmaceuticals、Atomwise Inc.、Berg LLC、Cloud Pharmaceuticals、Deep Genomics、Exscientia、SchroDinger、TwoXar Inc。例如關鍵併購、未來產能、合作夥伴關係、財務概況、合作、新產品開發、新產品發布和其他發展。
如果您有任何客製化要求,請寫信給我們。我們的研究團隊可以根據您的需求提供客製化報告。
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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