The Business Research Company’s report goes into great detail on the artificial intelligence (AI) in drug discovery market size and growth, artificial intelligence (AI) in drug discovery market regional analysis, artificial intelligence (AI) in drug discovery market competitive landscape, and other critical information needed to excel in the artificial intelligence (AI) in drug discovery industry.

Major players in the artificial intelligence (AI) in drug discovery market include IBM Corporation, Benevolent AI, Nvidia Corporation, Exscientia, Concreto HealthAI

TBRC’s comprehensive market report based on extensive research will assist you in seamlessly devising your approaches in order to match key market player strategies.

The artificial intelligence (AI) in drug discovery market is expected to grow from $0.79 billion in 2021 to $2.99 billion in 2026 at a rate of 30.5%. The artificial intelligence (AI) in drug discovery market size is then expected to grow at a CAGR of 25.4% from 2026 and reach $9.29 billion in 2031.

North America was the largest region in the global artificial intelligence (AI) in drug discovery market, accounting for 44.0% of the total in 2021.

The artificial intelligence (AI) in drug discovery market consists of sales of AI software used in drug discovery and related services. Artificial Intelligence for drug discovery is a technology that uses a simulation of human intelligence process by machines to tackle complex problems in drug discovery. It helps to find new molecules to identify drug targets and develop personalized medicines in the pharmaceutical industry. The market includes software licenses required for AI in drug discovery.

The rising adoption of cloud-based applications and services by pharmaceutical companies will contribute to the growth of AI in the drug discovery market.

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Artificial Intelligence (AI) tools are now widely used for molecular target identification and selection in pharmaceutical industry. Target identification and selection is defined as discovering a possible molecular target with a specific biological action which is anticipated to have a defined therapeutic activity. These molecular targets are either genes proteins or small molecules which further require evaluation of functional genomics, structural genomics, proteomics, and cell-based assays (in-vitro), animal research (in-vivo) assays. AI uses a large drug information bank which includes drug candidates, gene expression protein-protein interactions and clinical data records from publicly available resource for anticipating the therapeutic potential.

TBRC’s Global Artificial Intelligence (AI) In Drug Discovery Market Report Is Segmented:

By Technology: Context-Aware Processing, Natural Language Processing, Querying Method, Deep Learning

By Drug Type: Small Molecule, Large Molecules

By Therapeutic type: Metabolic Disease, Cardiovascular Disease, Oncology, Neurodegenerative Diseases, Respiratory Diseases, Anti-Infective Diseases, Other Therapeutic Areas

By End-Users: Pharmaceutical Companies, Biopharmaceutical Companies, Academic And Research Institutes, Others

By Geography: North America, South America, Asia-Pacific, Eastern Europe, Western Europe, Middle East and Africa.

The Artificial Intelligence (AI) In Drug Discovery Market Report 2022 is one of a series of new reports from The Business Research Company that provides an overview of the artificial intelligence (AI) in drug discovery market globally and regionally, analyzes and forecasts market size, share, artificial intelligence (AI) in drug discovery market players, artificial intelligence (AI) in drug discovery market segments, leading competitor revenues, profiles and market shares.

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