AI in Drug Discovery Market to Grow with A Healthy Growth Rate $4.0 billion by 2030, at CAGR of +45% | PathAI, Inc., Berg Health, Atomwise, Insitro, Cyclica

The global AI in Drug Discovery Market in terms of revenue was estimated to be worth $0.6 billion in 2022 and is poised to reach $4.0 billion by 2030, growing at a CAGR of +45 from 2023 to 2030.

AI (Artificial Intelligence) is poised to revolutionize the drug discovery industry in the near future, offering the immense potential to accelerate and enhance the process of developing new pharmaceuticals. With its ability to analyze vast amounts of data, identify patterns, and generate insights, AI has already proven to be a valuable tool in various stages of drug discovery, including target identification, lead optimization, and clinical trial design. By leveraging machine learning algorithms, AI can efficiently screen large libraries of compounds, predict their properties, and identify potential drug candidates with higher accuracy and speed than traditional methods.

At Global AI in Drug Discovery Market, we are dedicated to providing comprehensive information and insights into the industry worldwide. As a leading authority in the market, we strive to be the go-to resource for industry professionals, researchers, and consumers seeking accurate and up-to-date information on all aspects of production, consumption, and trends.

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Key Players covered in the global AI In Drug Discovery Market are:
Exscientia, GNS Healthcare, Cloud Pharmaceuticals, Inc., Benevolent AI, PathAI, Inc., Berg Health, Atomwise, Insitro, Cyclica, BlackThorn Therapeutics, Insilico Medicine, Notable Labs, Standigm, Recursion Pharmaceuticals, BioSymetrics, and others.

The report delivers a comprehensive study of all the segments and shares information regarding the leading regions in the market. This report also states import/export consumption, supply and demand Figures, cost, industry share, policy, price, revenue, and gross margins.

AI in Drug Discovery Market By Type:
• Small Molecules
• Large Molecules

AI in Drug Discovery Market By Application:
• Oncology
• Infectious Diseases
• Neurological Disorders
• Rare Diseases
• Metabolic Diseases
• Cardiovascular Diseases
• Others

Geographically, this report is segmented into several key regions, with sales, revenue, market share and growth Rate of AI In Drug Discovery in these regions, covering
North America (United States, Canada)
Europe (Germany, France, U.K., Italy, Russia)
Asia-Pacific (China, Japan, South Korea, Southeast Asia, India, Australia, Taiwan, Indonesia, Thailand, Malaysia)
Latin America (Mexico, Brazil, Colombia, Argentina)
Middle East and Africa (Turkey, Saudi Arabia, UAE)

Points Covered in the Report
• The points that are discussed within the report are the major market players that are involved in the market such as market players, raw material suppliers, equipment suppliers, end users, traders, distributors etc.
• The complete profile of the companies is mentioned. And the capacity, production, price, revenue, cost, gross, gross margin, sales volume, sales revenue, consumption, growth rate, import, export, supply, future strategies, and the technological developments that they are making are also included within the report. This report analyzed 12 years data history and forecast.
• The growth factors of the market are discussed in detail wherein the different end users of the market are explained in detail.
• Data and information by market player, by region, by type, by application etc., and custom research can be added according to specific requirements.
• The report contains the SWOT analysis of the market. Finally, the report contains the conclusion part where the opinions of the industrial experts are included.

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The Report on AI In Drug Discovery Market covers the blend of major points, that are fueling or limiting the growth of the companies. In addition to this, it emphasizes some important points, which helps to ascertain global opportunities rapidly. This report provides a deep insight into the market wrapping all its essential traits. Furthermore, it deliberates the new project's SWOT analysis to get a complete overview of existing circumstances.

Table of Content:-
Chapter 1 Global AI In Drug Discovery Market Overview
Chapter 2 Market Data Analysis
Chapter 3 Market Technical Data Analysis
Chapter 4 Market Government Policy and News
Chapter 5 Market Demand in 2023
Chapter 6 Market Status and Forecast 2023-2030
Chapter 7 Global AI In Drug Discovery Market Key Vendors
Chapter 8 Up and Down Stream Industry Analysis
Chapter 9 Marketing Strategy - Market Analysis
Chapter 10 Market Development Trend Analysis
Chapter 11 Global AI In Drug Discovery Market New Project Investment Feasibility Analysis

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