North America Artificial Intelligence (AI) in Drug Discovery Market - Industry Trends and Forecast to 2029

Being a proficient and all-inclusive North America Artificial Intelligence (AI) in Drug Discovery Market report puts a light on primary and secondary drivers, market share, leading segments, possible sales volume, and geographical analysis. This market research report is a significant source of information about the industry, important facts and figures, expert opinions, and the newest developments across the globe. This report has reviews about key players in the market, major collaborations, merger and acquisitions along with trending innovation and business policies.

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Data Bridge Market Research analyzes that the North America Artificial Intelligence (AI) in drug discovery market is expected to reach the value of USD 14,913.08 million by 2029, at a CAGR of 54.9% during the forecast period. Software accounts for the largest technology segment in the market due to rapid developments in technological advancements to commercialize the use of AI in drug discovery market. This market report also covers pricing analysis, patent analysis, and technological advancements in depth.

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Market Overview:

AI has caught the attention and minds of medical technology practitioners in the past few years, as several companies and major research laboratories have worked to perfect these technologies for clinical use. The first commercialized demonstrations of how AI (also known as Deep Learning (DL), Machine Learning (ML), or Artificial Neural Networks (ANNs) could assist clinicians are now available. These systems could lead to a paradigm shift in clinician workflow, and increase productivity while simultaneously enhancing treatment and patient throughput. AI for drug discovery is a technology that uses machines to simulate human intelligence to solve complicated challenges in the drug development procedure. The adoption of AI solutions in the clinical trial process eliminates possible obstacles, reduces clinical trial cycle time, and increases the productivity and accuracy of the clinical trial process. Therefore, the adoption of these advanced AI solutions in drug discovery processes is gaining popularity amongst life science industry stakeholders. In the pharmaceutical sector, it aids in the discovery of novel compounds, therapeutic target identification, and the development of customized medications. AI platforms used for drug discovery can prove to be a feasible option for deriving insights into the discovery of drugs to treat and minimize the severity of various chronic diseases.

Some of the key players operating in the market are NVIDIA Corporation, IBM Corp., Atomwise Inc., Microsoft, Benevolent AI, Aria Pharmaceuticals, Inc., DEEP GENOMICS, Exscientia, Cloud, Insilico Medicine, Cyclica, NuMedii, Inc., Envisagenics, Owkin Inc., BERG LLC, Schrödinger, Inc., XtalPi Inc. and BIOAGE Inc. among others.

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