Artificial Intelligence (AI) in Drug Discovery Market is estimated to grow at a CAGR of 40.5% to an estimated value of USD 3,932.87 million by 2027 with factors such as lack of data sets and dearth of skilled labor will act as a restrain to the growth of the market in the forecast period of 2020 to 2027.
Some of the factors like the growing awareness among the patients and physicians about the benefits of artificial intelligence and taking up of cloud based applications and services are driving the growth of the market.
According to Data Bridge Market Research the artificial intelligence (AI) in drug discovery market in developing regions is witnessing a growth in terms of its adoption rate, due to growth of pharmaceutical industries by collaborating with other industries and growing need to reduce drug discovery and cost along with lessen time. Postponement in patent expiry is also anticipated to enhance the growth of market. Furthermore, development of biotechnology industries will create new opportunities for the growth of the market.
Now the question is which are the regions that artificial intelligence (AI) in drug discovery market players should target? Data Bridge Market Research has forecasted North America to dominate the due to the high pervasiveness of pharmaceutical companies and rising research activities.
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Artificial intelligence (AI) in drug discovery market on the basis of countries is segmented into U.S., Canada, Mexico, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia- Pacific, Brazil, Argentina, Rest of South America, South Africa, Saudi Arabia, UAE, Egypt, Israel, Rest of Middle East & Africa.
All country based analysis of the artificial intelligence (AI) in drug discovery market is further analyzed based on maximum granularity into further segmentation. Based on offering, artificial intelligence (AI) in drug discovery market is segmented into software and services. On the basis of technology, artificial intelligence (AI) in drug discovery market is segmented into machine learning and other technologies. Based on drug type, artificial intelligence (AI) in drug discovery market is segmented into small molecule and large molecules. On the basis of application, artificial intelligence (AI) in drug discovery market is segmented into immuno-oncology, neurodegenerative diseases, cardiovascular disease, metabolic diseases and other applications. Artificial intelligence (AI) in drug discovery market has also been segmented based on the end user into pharmaceutical & biotechnology companies, contract research organizations, research centres and academic & government institutes.
Artificial intelligence for drug discovery is a system that uses and numerous algorithms that add value to the drug discovery management processes. The growing cases of exceptional diseases and demand for customized drugs are the key thing that drives Al's growth in drug discovery industry.
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Key Market Competitors Covered in the report
Above are the key players covered in the report, to know about more and exhaustive list of artificial intelligence (AI) in drug discovery companies, contact us https://www.databridgemarketresearch.com/toc/?dbmr=global-artificial-intelligence-ai-in-drug-discovery-market
Data collection and base year analysis is done using data collection modules with large sample sizes. The market data is analysed and estimated using market statistical and coherent models. Also market share analysis and key trend analysis are the major success factors in the market report. To know more please request an analyst call or can drop down your enquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market, and primary (industry expert) validation. Apart from this, data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Top to Bottom Analysis and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
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