Artificial Intelligence (AI) in Drug Discovery Market | Size, Growth and Forecast 2025-2029
Artificial Intelligence (AI) in Drug Discovery Market | Size, Growth and Forecast 2025-2029
Publish Date: 2026-02-25 06:04:00
Source Domain: www.pharmiweb.com
Artificial Intelligence (AI) in Drug Discovery Market Overview:
The global Artificial Intelligence (AI) in drug discovery market is projected to grow at a rate of 25-30% over the next five years. Key factors driving this growth include the increasing need to lower drug development costs and timelines, the rising adoption of AI technologies within the healthcare and life sciences sectors, the growing volume of data generated in life sciences, advancements in computing power, and the expanding collaborations between pharmaceutical companies and AI firms.
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Additionally, the approaching patent cliff, the potential of generative AI models in innovative drug design, and the rising demand for personalized medicine are all contributing to the market’s momentum. However, challenges such as high implementation costs, concerns over data privacy and security, the lack of quality and standardized data, and regulatory and ethical hurdles could pose barriers to continued growth
Competitive Landscape Analysis
The global AI in drug discovery market is highly competitive, with several key players making significant contributions to the industry. Some of the major companies in the market include:
- Atomwise Inc.
- BenchSci
- BenevolentAI
- BPGbio, Inc.
- Deep Genomics
- Exscientia
- Iktos
- Illumina, Inc.
- IBM Corporation
- Insilico Medicine
- Insitro
- Microsoft Corporation
- Nvidia Corporation
- Numedii, Inc.
- Recursion
- Schrödinger, Inc.
- Tempus Labs
- Valo Health
- Verge Genomics
- Xtalpi Inc.
Artificial Intelligence (AI) in Drug Discovery: Enhancing Efficiency and Reducing Costs
AI in drug discovery refers to the use of advanced computational techniques to improve the speed, accuracy, and efficiency of identifying and developing new medications. By leveraging machine learning (ML) and deep learning (DL) technologies, AI can analyze large chemical spaces, predict molecular…
