AI for Drug Discovery Market Size, Strategy, Business Outlook to 2027 - Atomwise, Insilico Medicine, BIOAGE, Numerate, NuMedii, Envisagenics, Cloud, BenevolentAI, twoXAR, 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.

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.

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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.

Table of Content:
1 Introduction
1.1 Scope of Study

2 Key Takeaways

3 AI for Drug Discovery Market Landscape
3.1 Market Overview
3.2 Market Segmentation
3.3 PEST Analysis

4 AI for Drug Discovery Market - Key Industry Dynamics
4.1 Key Market Drivers
4.2 Key Market Restraints
4.3 Key Market Opportunities
4.4 Future Trends
4.5 Impact Analysis

5 AI for Drug Discovery Market Analysis- Global
5.1 Global AI for Drug Discovery Market Overview
5.2 Global AI for Drug Discovery Market Forecasts and Analysis
5.3 Market Positioning/Market Share
5.4 Performance of Key Players
5.5 Expert Opinions AI for Drug Discovery Market

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