Learn about the global artificial intelligence (AI) in drug discovery market through The Business Research Company, which provides information on artificial intelligence (AI) in drug discovery market size, artificial intelligence (AI) in drug discovery market drivers and restraints, artificial intelligence (AI) in drug discovery market players, the COVID-19 impact on the artificial intelligence (AI) in drug discovery market, and more.

The artificial intelligence (AI) in drug discovery market size is expected to grow from $0.79 billion in 2021 to $2.99 billion in 2026 at a rate of 30.5%. The global 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.

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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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.

Global Artificial Intelligence (AI) In Drug Discovery Market Segments Include:
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: The market is segmented into North America, South America, Asia-Pacific, Eastern Europe, Western Europe, Middle East and Africa. Among these regions, 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.

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 artificial intelligence (AI) in drug discovery market report covers:

Major Market Players: IBM Corporation, Benevolent AI, Nvidia Corporation, Exscientia, Concreto HealthAI

Regions: Asia-Pacific, China, Western Europe, Eastern Europe, North America, USA, South America, Middle East and Africa.

Countries: Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA.

Time Series: Five years historic (2016-21) and ten years forecast (2022-2026-2031)

The Artificial Intelligence (AI) In Drug Discovery Market Report 2022 – Market Size, Trends, And Global Forecast 2022-2026 is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) in drug discovery market overviews, analyzes and forecasts market size, share, artificial intelligence (AI) in drug discovery market players, artificial intelligence (AI) in drug discovery market segments and geographies, leading competitor revenues, profiles and market shares.

TBRC’s artificial intelligence (AI) in drug discovery market report identifies top countries and segments for opportunities and strategies based on market trends and leading competitors’ approaches.

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