Artificial Intelligence in Drug Discovery Market Size, Major Strategies, Key Companies, Revenue Share Analysis, 2021–20

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The increasing demand for new drugs, the rising number of new diseases and increasing collaborations among various firms is expected to drive the market in the forecast period.

The global Artificial Intelligence in Drug Discovery market report assesses the Artificial Intelligence in Drug Discovery industry in the global market with regards to the industry trends, industry growth, size, share, drivers, restraints, opportunities, challenges, cost analysis, market size in terms of value or volume, extensive profiling of the companies, competitive landscape, product portfolio, and other key elements during forecast period. The study also provides deeper insights into the market with regards to the scope and application of the market to impart a better understanding of the market.

Furthermore, the report covers various important aspects of the industry such current and emerging trends, updated outlines, growth factors, restraints, growth prospects and opportunities, regulatory framework and government policies, macro and micro economic factors, and other factors that enable to draw projections for the estimated market growth in the forecast period.

Artificial Intelligence in Drug Discovery Market Size – USD 253.8 Million in 2019, Growth – CAGR of 31.9%, Trends– Major key players are investing into research and development to revive their patented products and produce new products.

Key companies operating in the global market and profiled in the report include:

 NVIDIA Corporation, Deep Genomics, Cloud Pharmaceuticals, IBM Corporation, Microsoft and Google, Insilico Medicine, BenevolentAI, Cyclica, BERG LLC, and Envisagenics. 

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For the purpose of this report, Reports and Data has segmented the Artificial Intelligence in Drug Discovery Market on the basis of drug type, offerings, technology, application, end use and region:

By Drug Type Outlook (Revenue in Million USD; 2017–2027)

  • Small Molecule
  • Large Molecule

By Offerings Outlook (Revenue in Million USD; 2017–2027)

  • Software
  • Services

By Technology Outlook (Revenue in Million USD; 2017–2027)

  • Deep Learning
  • Machine Learning
  • Others

By Application Outlook (Revenue in Million USD; 2017–2027)

  • Metabolic Diseases
  • Neurodegenerative Diseases
  • Cardiovascular Diseases
  • Oncology
  • Others

By End Use Outlook (Revenue in Million USD; 2017–2027)

  • Pharmaceutical Medical Device Manufacturing Companies
  • Life Sciences Biotechnology Research Organizations
  • Hospitals Healthcare Facilities

 Regional analysis covers:

  • North America (U.S., Canada, Mexico)
  • Europe (U.K., Italy, Germany, France, Rest of Europe)
  • Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
  • Latin America (Chile, Brazil, Argentina, Rest of Latin America)
  • Middle East Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)

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Key Queries Addressed in the Report

* The report is optimally designed on the basis of in-depth research weighing historical events and developments as well as current market scenario that tend to induce a remunerative output in global Folic Acid market.

* The report also induces significant details about market size and dimensions, also evaluating various risks and challenges that vendors face for effective growth restoration, challenging COVID-19 aftermath.

* The report also sheds insightful details on market segmentation besides including a barrier analysis and opportunity evaluation based on various triangulation methodologies.

The report utilizes advanced analytical tools to research, gather, and analyze data. The in-depth research report has been formulated through extensive primary and secondary research and the data has been further validated and verified from industry experts, professionals, and research analysts. The report also offers strategic recommendations to key market players and novice players to overcome barriers and limitations and gain a robust footing in the market.

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