AI for Drug Discovery Market Insights to 2027 | Atomwise, Insilico Medicine, Numerate, NuMedii, Envisagenics, Cloud Pharmaceuticals, BenevolentAI, twoXAR, Exscientia

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.

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.

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Some of the Leading Key Players Operating in this Study include

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

The "Global AI for Drug Discovery Market Analysis to 2027" is a specialized and in-depth study of the healthcare IT industry with a special focus on the global market trend analysis. The report aims to provide an overview of enteral feeding formulas market with detailed market segmentation by drug type, technology, application, end user and geography. The global AI for drug discovery market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading enteral feeding formulas market players and offers key trends and opportunities in the market.

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.

REGIONAL FRAMEWORK

The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides overview and forecast of the global AI for Drug Discovery market based on various segments. It also provides market size and forecast estimates from year 2017 to 2027 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South & Central America. The AI for Drug Discovery market by each region is later sub-segmented by respective countries and segments. The report covers analysis and forecast of 18 countries globally along with current trend and opportunities prevailing in the region.

The report analyzes factors affecting AI for Drug Discovery market from both demand and supply side and further evaluates market dynamics effecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA and South & Central America after evaluating political, economic, social and technological factors effecting the AI for Drug Discovery market in these regions.

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Key Elements that the report acknowledges:

– Market size and growth rate during forecast period.

– Key factors driving the “AI for Drug Discovery” market.

– Key market trends cracking up the growth of the “AI for Drug Discovery” market.

– Challenges to market growth.

– Key vendors of “AI for Drug Discovery” market.

– Detailed SWOT analysis.

– Opportunities and threats faces by the existing vendors in Global “AI for Drug Discovery” market.

– Trending factors influencing the market in the geographical regions.

– Strategic initiatives focusing the leading vendors.
– PEST analysis of the market in the five major regions.

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This release was published on openPR.