Artificial Intelligence (AI) In Drug Discovery Market Report 2020: Global Outlook, Research, Trends And Forecast To 2023

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The Business Research Company offers “Artificial Intelligence (AI) In Drug Discovery Global Market Report 2020-30: COVID-19 Growth And Change” in its research report store. It is the most comprehensive report available on this market and will help gain a truly global perspective as it covers 60 geographies. The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by region and by country. It also compares the market’s historic and forecast growth, and highlights important trends and strategies that players in the market can adopt.

The global artificial intelligence (AI) in drug discovery market is expected to decline from $0.37 billion in 2019 to $0.36 million in 2020 at a compound annual growth rate (CAGR) of -1.33%. The decline is mainly due to the COVID-19 outbreak that has led to restrictive containment measures involving social distancing, remote working, and the closure of industries and other commercial activities resulting in operational challenges. The entire supply chain has been disrupted, impacting the market negatively. The market is then expected to recover and reach $1.1 billion in 2023 at a CAGR of 42.9%.

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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.

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.

Artificial Intelligence (AI) In Drug Discovery Market Segmentation: –
By Technology
1. Deep Learning
2. Machine Learning

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By Drug Type
1. Small Molecule
2. Large Molecules

Few Points From Table Of Content
1. Executive Summary
2. Artificial Intelligence (AI) In Drug Discovery Market Characteristics
3. Artificial Intelligence (AI) In Drug Discovery Market Size And Growth
4. Artificial Intelligence (AI) In Drug Discovery Market Segmentation
5. Artificial Intelligence (AI) In Drug Discovery Market Regional And Country Analysis
……………
25. Artificial Intelligence (AI) In Drug Discovery Market Competitive Landscape And Company Profiles
26. Key Mergers And Acquisitions In The Artificial Intelligence (AI) In Drug Discovery Market
27. Artificial Intelligence (AI) In Drug Discovery Market Trends And Strategies
28. Artificial Intelligence (AI) In Drug Discovery Market Future Outlook and Potential Analysis
29. Appendix

The report covers the trends and market dynamics of the artificial intelligence (AI) in drug discovery market in major countries – Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, and USA. The report also includes consumer surveys and various future opportunities for the market.

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Some of the key players involved in the artificial intelligence (AI) in drug discovery market are IBM Corporation, Microsoft, Atomwise Inc., Deep Genomics, Cloud Pharmaceuticals, Insilico Medicine, Benevolent AI

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The Business Research Company has published over 1000 industry reports, covering over 2500 market segments and 60 geographies. The reports draw on 150,000 datasets, extensive secondary research, and exclusive insights from interviews with industry leaders. The reports are updated with a detailed analysis of the impact of COVID-19 on various markets after WHO declared COVID-19 as a pandemic.

This release was published on openPR.

(Excerpt) Read more Here | 2020-09-18 12:54:03

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