AI for Drug Discovery Market Specifies Prime Growth by 2027 | Insilico Medicine, Numerate, NuMedii, Exscientia, twoXAR

Drug discovery is the preliminary step in the process of a novel drug identification and its therapeutic target. Artificial intelligence (AI) is commonly used in the healthcare industry for drug discovery. Artificial intelligence technology has the ability to recognize drug targets, and play a significant role in drug design, discovery, identification and screening of molecules instantly and effectively. Drug discovery or new drug target are being estimated based on potency, bioavailability, efficacy, and toxicity.

The AI for drug discovery market is expected to grow during the forecast period due to the increasing number of cross-industry partnerships & collaborations, a significant growth in venture capital investments, rise in importance of drug discovery and increase in funding of the R&D activities for the use of AI technology in the field of drug discovery. However, limited awareness, unwillingness among medical practitioners to adopt AI-based technologies, unclear regulatory guidelines for medical software and lack of interoperability among AI solutions offered by different vendors are likely to hamper the growth of the market in the forecast period.

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The Covid-19 (coronavirus) pandemic is impacting society and the overall economy across the world. The impact of this pandemic is growing day by day as well as affecting the supply chain. The COVID-19 crisis is creating uncertainty in the stock market, massive slowing of supply chain, falling business confidence, and increasing panic among the customer segments. The overall effect of the pandemic is impacting the production process of several industries. This report on ‘AI for Drug Discovery Market’ provides the analysis on impact on Covid-19 on various business segments and country markets. The reports also showcase market trends and forecast to 2027, factoring the impact of Covid -19 Situation.

The global AI for drug discovery market is segmented on the basis of drug type, technology, application, and end user. On the basis of drug type, the market is classified as small molecule and large molecules. Based on technology, the market is classified as deep learning and machine learning. Based on application, the market is classified as metabolic disease, cardiovascular disease, oncology, neurodegenerative diseases, and others. On the basis of end user, the market is classified as pharmaceutical & biotechnological companies, academic & research institutes, and others.

The researchers have analysed the competitive advantages of those involved in the industries or in the In AI for Drug Discovery industry. While historical years were taken as 2020 – 2027, the base year for the study was 2020. Similarly, the report has given its projection for the year 2020 apart from the outlook for years 2020 – 2027.

The objective of the researchers is to find out the sales, value, and status of the In AI for Drug Discovery industry at the international levels. While the status covers the years of 2020 – 2027, the forecast is for the period 2020 – 2027 that will enable market players to not only plan but also execute strategies based on the market needs.

The Prominent/Emerging Players in the AI for Drug Discovery Market Research includes:

  • Atomwise, Inc.
  • Insilico Medicine
  • BIOAGE
  • Numerate
  • NuMedii, Inc.
  • Envisagenics
  • Cloud Pharmaceuticals, Inc.
  • BenevolentAI
  • twoXAR, Incorporated
  • Exscientia

Report Scope:

  • This report is a business analysis that examines market trends for AI for Drug Discovery. The report includes sections on the following topics
  • Current prevalence of AI for Drug Discovery, trend analysis and factors influencing future incidence.
  • Market analysis by treatment type, including annual incidence and trend analysis.
  • Risk factors and other drivers that may impact the future incidence of AI for Drug Discovery.
  • Review of the major market opportunities by identifying specific high-growth and emerging market opportunities.
  • Market share and information on key market players.
  • Analysis and forecast of the revenues for AI for Drug Discovery for the global market, major market subsegments subdivided by geographic region and further, by selected country.
  • Detailed review of the current products, their indications for all identified market segments.
  • Profile of the individual market subsegments within the major market segments analyzed and the distinguishing features of each of the market subsegments.

Report Includes:

  • Detailed overview of the AI for Drug Discovery and corresponding global markets
  • Country specific data and analysis for France, Germany, Italy, U.K., Spain, Russia, India, China, Japan, United States, Canada, Middle East and Africa
  • Evaluation of market dynamics with a focus on increasing prevalence of AI for Drug Discovery cases, technological advancements
  • A look into regulatory environment, new products launces and technological advancements, and current strategies within the market

Continued..

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