The growing adoption of cloud-based applications and the expiration of patented drugs will pave the way for new generic and OTC medicines, which will influence market demand. The advancement in deep learning and machine learning will allow pharmaceutical companies to reorganize molecule binding properties with high accuracy.
The Global Intelligent Drug Discovery Market report assesses the historical and current data along with a thorough analysis of the market dynamics. The report also sheds light on the significant market growth driving and restraining factors that are anticipated to influence the market growth through the forecast period.
Machine learning help in optimizing therapy by integrating clinical and biomedical data with computational models. It is used to build software for combinational therapies and testing drugs. Machine learning offers a lucrative potential for drug discovery and personalized medicine.
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The report entails an organized database of the Intelligent Drug Discovery market dynamics that helps market analysts estimate the global market growth rate over the projected timeline. Therefore, the report, published by Emergen Research, is a detail-oriented compilation of the crucial aspects of the Intelligent Drug Discovery market, including the key players’ product offerings, the wide application range of these products, the major market segments, leading market contenders, their company profiles, pricing strategies, production capacities, revenue generation schemes, technological advancements, and many others.
Key participants include IBM Corporation, Microsoft Corporation, Google, NVIDIA Corporation, Cloud Pharmaceuticals, Inc., Atomwise, Inc., Insilico Medicine, Exscientia, Bioage, and Envisagenics, among others.
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Main chapters covered in this report:
Part 01: Market Overview
Part 02: Market Size, by regions
Part 03: Market Revenue, by countries
Part 04: Market Competition, by key players
Part 05: Company Profiles
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One of the report’s central components is the broad Intelligent Drug Discovery market segmentation that includes the product type gamut, application spectrum, end-user industry landscape, significant geographical regions, and the top market contenders.
- Offering Outlook (Revenue, USD Billion; 2017-2027)
- Software
- Services
- Technology Outlook (Revenue, USD Billion; 2017-2027)
- Machine Learning
- Supervised Learning
- Deep Learning
- Reinforcement Learning
- Unsupervised Learning
- Other Technologies
- Machine Learning
- Application Outlook (Revenue, USD Billion; 2017-2027)
- Neurodegenerative Diseases
- Metabolic Diseases
- Immuno-Oncology
- Cardiovascular Disease
- Others
- End-User Outlook (Revenue, USD Billion; 2017-2027)
- Contract Research Organizations
- Pharmaceutical & Biotechnology Companies
- Research Centers and Academic & Government Institutes
The global Intelligent Drug Discovery market has been categorized on the basis of key geographical regions into North America, Asia Pacific, Europe, Latin America, and Middle East & Africa. It evaluates the presence of the global Intelligent Drug Discovery market in the major regions with regards to market share, market size, revenue contribution, sales network and distribution channel, and other key elements.
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Key Questions Addressed in the Report:
- Who are the leading players of the Intelligent Drug Discovery industry?
- Which region is expected to dominate the market in the coming years?
- What are the key applications of the Intelligent Drug Discovery market?
- Which segment is expected to garner traction during the coming years?
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