Artificial intelligence (AI) for Drug Discovery Market Outlook to 2027 by Global Top Players - Atomwise, Insilico Medicine, BIOAGE, Numerate, NuMedii, Envisagenics, Cloud Pharmaceuticals

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 crossindustry 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 AIbased 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 Companies Covered in this Report:
Atomwise, Insilico Medicine, BIOAGE, Numerate, NuMedii, Envisagenics, Cloud Pharmaceuticals, BenevolentAI, twoXAR, Incorporated, Exscientia

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The "Global AI for Drug Discovery Market Analysis to 2027" is a specialized and indepth study of the medical device industry with a focus on the global market trend. The report aims to provide an overview of global market with detailed market segmentation by game type, 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 AI for Drug Discovery market players and offers key trends and opportunities in the market.

The reports cover key developments in the 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 market in the global market. Below mentioned is the list of few companies engaged in the AI for Drug Discovery 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 product, source and application. It also provides market size and forecast till 2027 for overall market with respect to five major regions, namely; North America, Europe, AsiaPacific (APAC), Middle East and Africa (MEA) and South & Central America.

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Fundamentals of Table of Content:

1 Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered
1.4 Market Analysis by Type       
1.5 Market by Application
1.6 Study Objectives
1.7 Years Considered

2 Global Growth Trends
2.1 AI for Drug Discovery Market Size
2.2 AI for Drug Discovery Growth Trends by Regions
2.3 Industry Trends

3 Market Share by Key Players
3.1 AI for Drug Discovery Market Size by Manufacturers
3.2 AI for Drug Discovery Key Players Head office and Area Served
3.3 Key Players AI for Drug Discovery Product/Solution/Service
3.4 Date of Enter into AI for Drug Discovery Market
3.5 Mergers & Acquisitions, Expansion Plans

4 Breakdown Data by Product
4.1 Global AI for Drug Discovery Sales by Product
4.2 Global AI for Drug Discovery Revenue by Product
4.3 AI for Drug Discovery Price by Product

5 Breakdown Data by End User
5.1 Overview
5.2 Global AI for Drug Discovery Breakdown Data by End User

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This release was published on openPR.