AI for Drug Discovery Market Competitive Analysis with Growth Forecast Till 2027 with Leading Players Cloud Pharmaceuticals, BenevolentAI, twoXAR, Incorporated, Exscientia

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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Leading Industry Players Involving in this study:

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

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 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.

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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 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.

The target audience for the report on the AI for Drug Discovery market:

- Manufactures
- Market analysts
- Senior executives
- Business development managers
- Technologists
- R&D staff
- Distributors
- Investors
- Governments
- Equity research firms
- Consultants

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Reasons to Buy the Report:

- Learn about the driving factors, affecting the market growth.

- Imbibe the advancements and progress in the market during the forecast period.

- Understand where the market opportunities lies.

- Compare and evaluate various options affecting the market.

- Pick up on the leading market players within the market.

- Envision the restrictions and restrains that are likely to hamper the market.

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