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Follow on Google News | ![]() AI-Powered Drug Discovery Market Forecast to 2032 Amid Biotech Boom and Precision Medicine SurgeAI is transforming drug discovery, driving faster, cost-effective development. The market is set for strong growth by 2032, fueled by biotech and precision medicine.
Market Size and Forecast to 2032 The AI in drug discovery market was valued at USD 1850.26 Million in 2024 to USD 14725.63 Million by 2032, growing at a CAGR of 29.6% during the forecast period (2025-2032). This expansion is fueled by the escalating cost and complexity of traditional drug discovery methods, which often span over a decade and require investments in the billions. AI promises to reduce both time and cost, making it an increasingly attractive solution for pharmaceutical companies and research institutions. North America currently holds the largest market share, supported by a strong presence of major pharmaceutical companies, robust research infrastructure, and aggressive adoption of AI technologies. However, Asia-Pacific is emerging as the fastest-growing region, with countries like China and India investing heavily in biotechnology, AI research, and healthcare infrastructure. Top Players in AI in Drug Discovery Market 1. IBM Corporation 2. NVIDIA Corporation 3. Microsoft Corporation 4. Exscientia 5. Atomwise, Inc. 6. BenevolentAI 7. Insilico Medicine 8. Cyclica 9. Schrödinger, Inc. 10. Cloud Pharmaceuticals, Inc. 11. BioSymetrics 12. XtalPi Inc. 13. Deep Genomics 14. Numerate, Inc. 15. Berg LLC 16. OWKIN, Inc. 17. TwoXAR, Inc. 18. Verge Genomics 19. Recursion Pharmaceuticals 20. PathAI Future Outlook Looking ahead to 2032, the AI in drug discovery market will continue to evolve, shaped by advancements in algorithm development, integration of multi-omics data, and increasing collaboration between tech and pharma sectors. The successful deployment of AI in high-profile drug discovery cases will likely boost confidence and investment in the space. Read AI in Drug Discovery Market Report Today - https://www.skyquestt.com/ The future of drug discovery lies in intelligent automation, data-driven decision-making, and cross-disciplinary innovation. As AI continues to mature and regulatory frameworks adapt, its role in transforming healthcare and delivering breakthrough treatments will become increasingly central. End
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