Artificial Intelligence (AI) In Drug Discovery Market is Expected to Reach a Valuation of USD 3,932.87 Million by 2027 | Microsoft NVIDIA Corporation IBM Corporation Atomwise, Inc. DEEP GENOMICS

Artificial Intelligence (AI) in Drug Discovery Market research report conducts study on production capacity, consumption, import, and export for all major regions across the globe. The report is a professional in-depth study on the current state of the market. Analysis and discussion of important industry trends, market size, and market share estimates are revealed in the report. This report covers a very important aspect which is competitive intelligence and with this businesses can gain a competitive advantage to thrive in the market. This market analysis report also encompasses far-reaching research on the current conditions of the Industry, the potential of the market in the present, and the future prospects. What is more, this market research report also contains details about market analysis, market definition, market segmentation, key development areas, competitive analysis, and research methodology. and also shows all the recent developments, product launches, joint ventures, mergers, and acquisitions by the several key players and brands that are driving the market by systemic company profiles.

Artificial Intelligence (AI) In Drug Discovery Market is estimated to grow at 40.50% for 2020-2027 with factors such as unavailability of skilled labor and lack of data sets which will hinder the growth of the market in emerging economies.

Artificial intelligence (AI) in drug discovery market has shown an exceptional penetration in developed economies in North America. Increasing number of research and development activities along with prevalence of various market players which will likely to enhance the growth of the market.

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COVID-19 Impact Analysis:

The report seeks to track the evolution of the market growth pathways and publish a medical crisis in an exclusive section publishing an analysis of the impact of COVID-19 on the market. The new analysis of the COVID-19 pandemic provides a clear assessment of the impact on the market and the expected volatility of the market during the forecast period. Various factors that can affect the general dynamics of the market during the forecast period (2021-2028), including current trends, growth opportunities, limiting factors, etc., are discussed in detail in this market research.

Scope of the Report

Offering (Software, Services)

Technology (Machine Learning, Other Technologies)

Drug Type (Small Molecule, Large Molecules)

Application (Immuno-Oncology, Neurodegenerative Diseases, Cardiovascular Disease, Metabolic Diseases, Other Applications)

End-User (Pharmaceutical & Biotechnology Companies, Contract Research Organizations, Research Centres and Academic & Government Institutes)

Geographical Regions: North America Country (United States, Canada), South America, Asia Country (China, Japan, India, Korea), Europe Country (Germany, UK, France, Italy), Other Country (Middle East, Africa, GCC)

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Key Players:

Microsoft
NVIDIA Corporation
IBM Corporation
Atomwise, Inc.
DEEP GENOMICS
Cloud Pharmaceuticals, Inc.
Insilico Medicine
BenevolentAI Ltd
Exscientia
Cyclica Inc.
Numerate
NuMedii, Inc.
Global Artificial Intelligence (AI) in Drug Discovery Market Scope and Market Size

Artificial intelligence (AI) in drug discovery market is segmented on the basis of offering, technology, drug type, application and end user. The growth amongst these segments will help you analyse meagre growth segments in the industries, and provide the users with valuable market overview and market insights to help them in making strategic decisions for identification of core market applications.

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. Machine learning has been further segmented into deep learning, supervised learning, reinforcement learning, unsupervised learning and other machine learning technologies.

Based on drug type, artificial intelligence (AI) in drug discovery market is segmented into small molecule and large molecules.

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