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AI in Drug Discovery Market Size, Industry Report by Business Opportunity, Global Trend, Future Growth, Emerging Technologies| Microsoft, NVIDIA, IBM, Atomwise

The Data Bridge Market Research has announced the addition of the “Global Artificial Intelligence (AI) in Drug Discovery Market Size, Share, Growth, Industry Trends and Forecast 2021-2027”report to their offering. Artificial Intelligence (AI) in Drug Discovery Market Report provides the in-depth Analysis of Market Influence Factors, Restraints, Trends, Growth Drivers and Opportunities till 2027. This Report can used to predict the future of that Market Players. And also this report helps to face any challenges and take advantage of lucrative prospects available in the Global Artificial Intelligence (AI) in Drug Discovery Industry. This market analysis report considers various factors that have direct or indirect effect on the growth of business which includes historic data, present market trends, environment, technological innovation, upcoming technologies and the technical progress in the Artificial Intelligence (AI) in Drug Discovery industry.

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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The Updated Free Sample Report Includes:

  • 2021 Latest updated research report with Overview, Definition, TOC, updated Top market players
  • COVID-19 Pandemic Impact on Businesses
  • 350+ Pages Research Report
  • Provide Chapter-wise guidance on Request
  • Updated 2021 Regional Analysis with Graphical Representation of Size, Share & Trends
  • Updated Research Report Includes List of table & figures
  • Report Includes updated 2021 Top Market Players with their latest Business Strategy, Sales Volume, and Revenue Analysis
  • Data Bridge Market Research updated research methodology

Besides, Artificial Intelligence (AI) in Drug Discovery Market Research Report makes clients aware about the various strategies that are used by key players of the market. These strategies mainly include new product launches, expansions, agreements, joint ventures, partnerships, acquisitions, and others that boost their footprints in this market. The analysis and forecasting of market data using best statistical and coherent models, market share analysis and key trend analysis are the major accomplishing factors in the steadfast Artificial Intelligence (AI) in Drug Discovery market report. Moreover, intricate market insights are turned into simpler version with the help of proven tools and techniques and then provided to the users.


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.

The Segments and Sub-Section of Artificial Intelligence (AI) in Drug Discovery Market are shown below:

By Offering (Software, Services),

By Technology (Machine Learning, Other Technologies)

By Drug Type (Small Molecule, Large Molecules)

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

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

The Top Driving Players Operating in the Market Covered in this report:

  • Microsoft
  • NVIDIA Corporation
  • IBM Corporation
  • Atomwise, Inc
  • Cloud Pharmaceuticals, Inc
  • Insilico Medicine
  • BenevolentAI Ltd
  • Exscientia
  • Cyclica Inc
  • Numerate
  • NuMedii, Inc
  • Envisagenics
  • twoXAR, Incorporated
  • XtalPi Inc

Complete Report is Available (Including Full TOC, List of Tables & Figures, Graphs, and Chart) @

The overall market size has been derived using both primary and secondary source. The research process begins with an exhaustive secondary research using internal and external sources to obtain qualitative and quantitative information related to the market. It also provides the overview and forecast for the global Artificial Intelligence (AI) in Drug Discovery market based on all the segmentation provided with respect to five major reasons such as North America, Europe, Asia-Pacific, Middle East and Africa, and South America. Also, primary interview were conducted with industry participants and commentators in order to validate data and analysis. The participants who typically take part in such a process include industry expert such as VPs, business development managers, market intelligence managers and national sales managers, and external consultant such as valuation experts, research analysts and key opinion leaders specializing in the Artificial Intelligence (AI) in Drug Discovery industry.

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.

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 (AI) in Drug Discovery Market Competitive Analysis

The Competitive Analysis chapter of the report highlights key developments of the major players in the Artificial Intelligence (AI) in Drug Discovery Market. The report provides insights into the most recent mergers, acquisitions, partnerships, and other strategic alliances in the Artificial Intelligence (AI) in Drug Discovery Market. In addition, each company’s pricing, sales, advertising, and marketing strategies are included in the report.

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Reason to Buy                          

  • Save and reduce time carrying out entry-level research by identifying the growth, size, leading players and segments in the global Artificial Intelligence (AI) in Drug Discovery market.
  • Highlights key business priorities in order to guide the companies to reform their business strategies and establish themselves in the wide geography.
  • The key findings and recommendations highlight crucial progressive industry trends in the Artificial Intelligence (AI) in Drug Discovery market, thereby allowing players to develop effective long term strategies in order to garner their market revenue.
  • Develop/modify business expansion plans by using substantial growth offering developed and emerging markets.
  • Scrutinize in-depth global market trends and outlook coupled with the factors driving the market, as well as those restraining the growth at a certain extent.
  • Enhance the decision-making process by understanding the strategies that underpin commercial interest with respect to products, segmentation and industry verticals.

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Last Updated: 15-Jun-2021