DUBLIN, Aug. 16, 2022 \/PRNewswire\/ --The \"Artificial Intelligence (AI) In Drug Discovery Global Market Report 2022, By Technology, By Drug Type, By Therapeutic Type, By End-Users\" report has been added to ResearchAndMarkets.com's offering.<\/p>\n
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The global artificial intelligence (AI) in drug discovery market is expected to grow from $791.83 million in 2021 to $1042.30 million in 2022 at a compound annual growth rate (CAGR) of 31.6%. The market is expected to reach $2994.52 million in 2026 at a CAGR of 30.2%.<\/p>\n
The artificial intelligence (AI) in drug discovery market consists of sales of AI for drug discovery and related services. Artificial Intelligence (AI) for drug discovery is a technology that uses a simulation of human intelligence process by machines to tackle complex problems in the drug discovery process. It helps to find new molecules to identify drug targets and develop personalized medicines in the pharmaceutical industry.<\/p>\n
The main technologies in artificial intelligence (AI) in drug discovery are deep learning and machine learning. Deep learning is a machine learning and artificial intelligence (AI) technique that mimics how humans acquire knowledge. Data science, which covers statistics and predictive modelling, incorporates deep learning as a key component.<\/p>\n
The different drug types include small molecule, large molecules and involves various types of therapies such as metabolic disease, cardiovascular disease, oncology, neurodegenerative diseases, others. It is implemented in several end-users including pharmaceutical companies, biopharmaceutical companies, academic and research institutes, others.<\/p>\n
The rise in demand for a reduction in the overall time taken for the drug discovery process is a key driver propelling the growth of the artificial intelligence (AI) in drug discovery market. Traditionally, it takes three to five years for animal models to identify and optimize molecules before they are evaluated in humans whereas start-ups based on AI have been identifying and designing new drugs in a matter of few days or months.<\/p>\n
For instance, in 2020, the British start-up Exscientia and Japan's Sumitomo Dainippon Pharma have used artificial intelligence to produce an obsessive-compulsive disorder (OCD) medication, decreasing the development time from four years to less than one year. The reduction in overall time taken for the drug discovery process drives the artificial intelligence (AI) in drug discovery market's growth.<\/p>\n
The shortage of skilled professionals is expected to hamper the AI in drug discovery market. The employees have to re-train or learn new skill sets to work efficiently on the complex AI machines to get the desired results for the drug. The shortage of skills acts as a major hindrance to drug discovery through AI, discouraging companies from adopting AI-based machines for drug discovery.<\/p>\n
ScopeMarkets Covered:1) By Technology: Deep Learning; Machine Learning2) By Drug Type: Small Molecule; Large Molecules3) By Therapeutic Type: Metabolic Disease; Cardiovascular Disease; Oncology; Neurodegenerative Diseases; Others4) By End-Users: Pharmaceutical Companies; Biopharmaceutical Companies; Academic And Research Institutes; Others<\/p>\n
Key Topics Covered: <\/p>\n
1. Executive Summary<\/p>\n
2. Artificial Intelligence (AI) In Drug Discovery Market Characteristics<\/p>\n
3. Artificial Intelligence (AI) In Drug Discovery Market Trends And Strategies<\/p>\n
4. Impact Of COVID-19 On Artificial Intelligence (AI) In Drug Discovery<\/p>\n
5. Artificial Intelligence (AI) In Drug Discovery Market Size And Growth<\/p>\n
6. Artificial Intelligence (AI) In Drug Discovery Market Segmentation<\/p>\n
7. Artificial Intelligence (AI) In Drug Discovery Market Regional And Country Analysis8. Asia-Pacific Artificial Intelligence (AI) In Drug Discovery Market<\/p>\n
9. China Artificial Intelligence (AI) In Drug Discovery Market<\/p>\n
10. India Artificial Intelligence (AI) In Drug Discovery Market<\/p>\n
11. Japan Artificial Intelligence (AI) In Drug Discovery Market<\/p>\n
12. Australia Artificial Intelligence (AI) In Drug Discovery Market<\/p>\n
13. Indonesia Artificial Intelligence (AI) In Drug Discovery Market<\/p>\n
14. South Korea Artificial Intelligence (AI) In Drug Discovery Market<\/p>\n
15. Western Europe Artificial Intelligence (AI) In Drug Discovery Market<\/p>\n
16. UK Artificial Intelligence (AI) In Drug Discovery Market<\/p>\n
17. Germany Artificial Intelligence (AI) In Drug Discovery Market<\/p>\n
18. France Artificial Intelligence (AI) In Drug Discovery Market<\/p>\n
19. Eastern Europe Artificial Intelligence (AI) In Drug Discovery Market<\/p>\n
20. Russia Artificial Intelligence (AI) In Drug Discovery Market<\/p>\n
21. North America Artificial Intelligence (AI) In Drug Discovery Market<\/p>\n
22. USA Artificial Intelligence (AI) In Drug Discovery Market<\/p>\n
23. South America Artificial Intelligence (AI) In Drug Discovery Market<\/p>\n
24. Brazil Artificial Intelligence (AI) In Drug Discovery Market<\/p>\n
25. Middle East Artificial Intelligence (AI) In Drug Discovery Market<\/p>\n
26. Africa Artificial Intelligence (AI) In Drug Discovery Market<\/p>\n
27. Artificial Intelligence (AI) In Drug Discovery Market Competitive Landscape And Company Profiles<\/p>\n
28. Key Mergers And Acquisitions In The Artificial Intelligence (AI) In Drug Discovery Market<\/p>\n
29. Artificial Intelligence (AI) In Drug Discovery Market Future Outlook and Potential Analysis<\/p>\n
30. Appendix<\/p>\n
Companies Mentioned<\/p>\n
IBM Corporation<\/p>\n
Microsoft<\/p>\n
Atomwise Inc.<\/p>\n
Deep Genomics<\/p>\n
Cloud Pharmaceuticals<\/p>\n
Insilico Medicine<\/p>\n
Benevolent AI<\/p>\n
Exscientia<\/p>\n
Cyclica<\/p>\n
BIOAGE<\/p>\n
Numerate<\/p>\n
Numedii<\/p>\n
Envisagenics<\/p>\n
twoXAR<\/p>\n
OWKIN Inc.<\/p>\n
XtalPi<\/p>\n
Berg LLC<\/p>\n
Google<\/p>\n
Verge Genomics<\/p>\n
For more information about this report visit https:\/\/www.researchandmarkets.com\/r\/5onrkw<\/a><\/p>\n Media Contact:<\/p>\n Research and MarketsLaura Wood, Senior Managerpress@researchandmarkets.com<\/a><\/p>\n For E.S.T Office Hours Call +1-917-300-0470For U.S.\/CAN Toll Free Call +1-800-526-8630For GMT Office Hours Call +353-1-416-8900<\/p>\n U.S. Fax: 646-607-1907Fax (outside U.S.): +353-1-481-1716<\/p>\n Logo: https:\/\/mma.prnewswire.com\/media\/539438\/Research_and_Markets_Logo.jpg<\/a><\/p>\n Cision<\/p>\n
![https:\/\/mma.prnewswire.com\/media\/539438\/Research_and_Markets_Logo.jpg<\/a><\/p>\nCision<\/p>\nView original content:https:\/\/www.prnewswire.com\/news-releases\/artificial-intelligence-in-drug-discovery-global-market-to-grow-from-1-04-billion-to-2-99-billion-by-2026--301606403.html<\/a><\/p>\nSOURCE Research and Markets<\/p>\n<\/p>\nRead the rest here:\nArtificial Intelligence In Drug Discovery Global Market to Grow from $1.04 Billion to $2.99 Billion by 2026 - Yahoo Finance<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" DUBLIN, Aug. 16, 2022 \/PRNewswire\/ --The \"Artificial Intelligence (AI) In Drug Discovery Global Market Report 2022, By Technology, By Drug Type, By Therapeutic Type, By End-Users\" report has been added to ResearchAndMarkets.com's offering. <\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[27374],"tags":[],"class_list":["post-51009","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence"],"_links":{"self":[{"href":"https:\/\/euvolution.com\/open-source-convergence\/wp-json\/wp\/v2\/posts\/51009"}],"collection":[{"href":"https:\/\/euvolution.com\/open-source-convergence\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/euvolution.com\/open-source-convergence\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/euvolution.com\/open-source-convergence\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/euvolution.com\/open-source-convergence\/wp-json\/wp\/v2\/comments?post=51009"}],"version-history":[{"count":0,"href":"https:\/\/euvolution.com\/open-source-convergence\/wp-json\/wp\/v2\/posts\/51009\/revisions"}],"wp:attachment":[{"href":"https:\/\/euvolution.com\/open-source-convergence\/wp-json\/wp\/v2\/media?parent=51009"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/euvolution.com\/open-source-convergence\/wp-json\/wp\/v2\/categories?post=51009"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/euvolution.com\/open-source-convergence\/wp-json\/wp\/v2\/tags?post=51009"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}](\"https:\/\/mma.prnewswire.com\/media\/539438\/Research_and_Markets_Logo.jpg\"){kind=link}