Artificial Intelligence For Drug Development and Discovery Market Forecasted to Cross Valuation of USD 4.8 Bn by 2027

 Allied Market Research added new research on Artificial Intelligence For Drug Development and Discovery Market- Opportunity Analysis and Industry Forecast, 2022–2030. The Artificial Intelligence For Drug Development and Discovery market explores comprehensive study on various segments like size, share, development, innovation, sales and overall growth of major players. The research is based on primary and secondary data sources and it consists both qualitative and quantitative detailing. 

Some of the key players involved in the study are Alphabet Inc., Atomwise, Inc., Benevolent AI, Cloud Pharmaceutical, Deep Genomics, Exscientia, IBM Corporation, Insilico Medicine Inc., Microsoft Corporation, and Nvidia Corporation.

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The artificial intelligence for drug discovery and development market size was valued at $0.52 billion in 2019 and is projected to reach $4.81 billion by 2027, registering a CAGR of 31.6% from 2020 to 2027. Drug discovery is the initial step in the process of a novel drug candidate’s identification and its therapeutic target. Artificial intelligence has been extensively used in the healthcare industry, specifically utilized in finding new drugs. As artificial intelligence plays an important role in discovery, design, recognition, and screening of molecules effectively in shorter time. Moreover, presence of a smaller number of competitors, higher adoption rate, and effectiveness of AI in finding of a novel drug are anticipated to provide lucrative opportunities for the growth of the global artificial intelligence for drug discovery and development market.

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Executive Summary: It covers a summary of the most vital studies, the Worldwide Artificial Intelligence For Drug Development and Discovery market increasing rate, modest circumstances, market trends, drivers and problems as well as macroscopic pointers.

Study Analysis: This covers major players, vital market segments, the scope of the products offered in the Artificial Intelligence For Drug Development and Discovery market, the years measured and the study points.

Competitive Analysis: In this segment each player is screened based on a products, services, value, SWOT analysis, growth and other significant features.

Geographic Analysis: This Artificial Intelligence For Drug Development and Discovery market report analyses data on the basis of production, sales, imports & exports, and key players in all regional markets.

Artificial Intelligence For Drug Development and Discovery Market Segments and Sub-segments::

Artificial Intelligence For Drug Development and Discovery Market by Key Players: Alphabet Inc., Atomwise, Inc., Benevolent AI, Cloud Pharmaceutical, Deep Genomics, Exscientia, IBM Corporation, Insilico Medicine Inc., Microsoft Corporation, and Nvidia Corporation

Artificial Intelligence For Drug Development and Discovery Market By Type: Target Identification, Molecule Screening, De Novo Drug Design & Drug Optimization, and Preclinical & Clinical Testing

Artificial Intelligence For Drug Development and Discovery Market By Indication: Oncology, Neurology, Infectious Disease and Others

Artificial Intelligence For Drug Development and Discovery Market By End User: Pharmaceutical & Biotechnology Companies, and Contract Research Organization

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Interpretative Tools Used in Market Analysis: The methodical tools including SWOT analysis, Porter's five forces analysis, and investment return examination were used while breaking down the development of the key players performing in the market.

Growth Indicators in the Market: This section of the report covers the indicators that contains mergers & acquisitions, R&D, new product development, joint ventures, and associations of leading participants working in the market.

Key Questions Answered:
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Table of Content
Chapter One: Industry Overview
Chapter Two: Major Segmentation (Classification, Application and etc.) Analysis
Chapter Three: Production Market Analysis
Chapter Four: Sales Market Analysis
Chapter Five: Consumption Market Analysis
Chapter Six: Production, Sales and Consumption Market Comparison Analysis
Chapter Seven: Major Manufacturers Production and Sales Market Comparison Analysis
Chapter Eight: Competition Analysis by Players
Chapter Nine: Marketing Channel Analysis
Chapter Ten: New Project Investment Feasibility Analysis
Chapter Eleven: Manufacturing Cost Analysis
Chapter Twelve: Industrial Chain, Sourcing Strategy and Downstream Buyers