An international Artificial Intelligence (AI) in Drug Discovery market report is a window to the Healthcare industry which explains what market definition, classifications, applications, engagements and market trends are. This market report delivers comprehensive analysis of the market structure along with estimations of the various segments and sub-segments of the market. The report also recognizes and analyses the rising trends along with major drivers, challenges and opportunities in the market. This market research report gives clear idea about strategic analysis of mergers, expansions, acquisitions, partnerships, and investment. Artificial Intelligence (AI) in Drug Discovery report helps gain an extreme sense of evolving industry movements before competitors.

Nowadays, businesses get highly benefited with the different segments covered in the market research report which provides better market insights to them with which they can drive the business into the right direction. The universal Artificial Intelligence (AI) in Drug Discovery market analysis report serves a lot for the business and gives solution for the toughest business questions. Market drivers and market restraints help businesses to get idea about the production strategy. The report helps strengthen organization and make better decisions for driving business on the right track. With the use of integrated approaches and latest technology for the best results Artificial Intelligence (AI) in Drug Discovery report has been generated.

Data Bridge Market Research analyzes that the global Artificial Intelligence (AI) in drug discovery market is expected to reach the value of USD 24,618.25 million by 2029, at a CAGR of 53.3% during the forecast period. Software accounts for the largest technology segment in the market due to rapid developments in technological advancements to commercialize the use of AI in drug discovery market. This market report also covers pricing analysis, patent analysis and technological advancements in depth.

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 Driver:

  • Rise in incidence of chronic diseases propels need for AI in drug discovery

The incidence of chronic diseases is increasing at a rapid pace across the globe. According to the Centers for Disease Control and Prevention (CDC), six in 10 adults in the U.S. have a chronic disease. Furthermore, the CDC also highlights that chronic diseases such as heart disease and diabetes are the leading causes of death in the U.S. Such statistics shed light on the growing prevalence of chronic diseases and the need to bring down the fatality rate caused due to these diseases.

AI platforms used for drug discovery can prove to be a feasible option for deriving insights into the discovery of drugs to treat and minimize the severity of various chronic diseases. Thus, these factors are expected to act as a driver for the market growth during the forecast period.

  • Strategic collaborations, partnerships and products launch

AI has the potential to transform drug discovery by rapidly accelerating the R&D timeline, making drug development cheaper and faster and improving the probability of approval. AI can also increase the effectiveness of drug repurposing research.

An increase in cross-industry alliances and collaborations drives the market. Rise in relevance of AI in drug discovery & development and a surge in funding for R&D activities, including AI technology in the field of drug research, are projected to propel the global market growth. Hence, increase in cross-industry collaborations and partnerships is driving the market.

Some key players mentioned in the report are:

 NVIDIA Corporation, IBM Corp., Atomwise Inc., Microsoft, Benevolent AI, Aria Pharmaceuticals, Inc., DEEP GENOMICS, Exscientia, Cloud, Insilico Medicine, Cyclica, NuMedii, Inc., Envisagenics, Owkin Inc., BERG LLC, Schrödinger, Inc., XtalPi Inc. and BIOAGE Inc

Key Insights that Study is going to provide:

·         The 360-degree Artificial Intelligence (AI) in Drug Discovery overview based on a global and regional level

·         Market Share & Sales Revenue by Key Players & Emerging Regional Players

·         A separate chapter on Market Entropy to gain insights on Leaders aggressiveness towards market [Merger & Acquisition / Recent Investment and Key Developments]

·         May vary depending upon availability and feasibility of data with respect to Industry targeted

·         Patent Analysis** No of patents / Trademark filed in recent years.

·         A complete and useful guide for new market aspirants

·         Forecast information will drive strategic, innovative and profitable business plans and SWOT analysis of players will pave the way for growth opportunities, risk analysis, investment feasibility and recommendations

·         Various Artificial Intelligence (AI) in Drug Discovery industry leading players are studied with respect to their company profile, product portfolio, capacity, price, cost, and revenue.

Key Market Segmentation:

By Application (Novel Drug Candidates, Drug Optimization and Repurposing Preclinical Testing and Approval, Drug Monitoring, Finding New Diseases Associated Targets and Pathways, Understanding Disease Mechanisms, Aggregating and Synthesizing Information, Formation & Qualification of Hypotheses, De Novo Drug Design, Finding Drug Targets of an Old Drug and Others), Technology (Machine Learning, Deep Learning, Natural Language Processing and Others), Drug Type (Small Molecule and Large Molecule)

The countries covered in the Global Artificial Intelligence (AI) in Drug Discovery Market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.

Table of Contents:

Executive Summary

Market Landscape

Market Sizing

Five Forces Analysis

Market Segmentation by End-user

Customer Landscape

Geographic Landscape

Key leading countries

Vendor Landscape

Vendor Analysis

Appendix

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