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¼¼°èÀÇ Á¦¾à ¹× ¹ÙÀÌ¿ÀÅ×Å©³î·¯Áö¿ë AI ½ÃÀå Á¶»ç º¸°í¼ : »ê¾÷ ºÐ¼®, ±Ô¸ð, Á¡À¯À², ¼ºÀå, µ¿Çâ, ¿¹Ãø(2024-2032³â)Global AI in Pharma and Biotech Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2024 to 2032 |
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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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