Global AI for Drug Discovery Market Analysis 2019 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.
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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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.
Top Leading Market Players:
- Atomwise, Inc.
- Insilico Medicine
- NuMedii, Inc.
- Cloud Pharmaceuticals, Inc.
- twoXAR, Incorporated
AI for drug discovery market as organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals and others such as patents and events. Inorganic growth strategies activities witnessed in the market were acquisitions, and partnership & collaborations. These activities have paved way for expansion of business and customer base of market players. The market payers from AI for drug discovery market are anticipated to lucrative growth opportunities in the future with the rising demand for AI for drug discovery in the global market
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Market Segments In AI for Drug Discovery:
The global AI for drug discovery market is segmented on the basis:
- drug type,
- and end user.
On the basis of drug type, the market is classified as:
- small molecule
- large molecules.
Based on technology, the market is classified as:
- deep learning
- machine learning.
Based on application, the market is classified as
- metabolic disease,
- cardiovascular disease,
- neurodegenerative diseases,
- and others.
On the basis of end user, the market is classified as:
- pharmaceutical & biotechnological companies,
- academic & research institutes,
- and others.
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.
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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• Global AI for Drug Discovery Market Overview • Economic Impact on Market • Market Competition • Global AI for Drug Discovery Market Analysis by Application • Industrial Chain, Sourcing Strategy and Downstream Buyers • Marketing Strategy Analysis, Distributors/Traders • Global AI for Drug Discovery Market Effect, Factors, Analysis • Global AI for Drug Discovery Market Forecast
What Our Report Offers:
• Save and reduce time carrying out entry-level research by identifying the growth, size, leading players and segments in the Global AI for Drug Discovery Market.
- Highlights key business priorities in order to assist companies to realign their business strategies.
- The key findings and recommendations highlight crucial progressive industry trends in the AI for Drug Discovery, thereby allowing players to develop effective long term strategies.
- Develop/modify business expansion plans by using substantial growth offering developed and emerging markets.
- Scrutinize in-depth global market trends and outlook coupled with the factors driving the market, as well as those hindering it.
- Enhance the decision-making process by understanding the strategies that underpin commercial interest with respect to products, segmentation and industry verticals.
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