AI in Drug Discovery Market is segmented by Global AI in Drug Discovery Market Breakdown by Application (Novel Drug Candidates, Drug Optimization, Preclinical Testing, Drug Monitoring, Others) by Type (Small Molecule, Large Molecule) and by Geography (North America, South America, Europe, Asia Pacific, MEA)

Pune, Maharashtra -- (SBWire) -- 10/24/2023 --According to HTF Market Intelligence, the Global AI in Drug Discovery market to witness a CAGR of 39.5% during the forecast period (2023-2029). The Latest Released AI in Drug Discovery Market Research assesses the future growth potential of the AI in Drug Discovery market and provides information and useful statistics on market structure and size.
This report aims to provide market intelligence and strategic insights to help decision-makers make sound investment decisions and identify potential gaps and growth opportunities. Additionally, the report identifies and analyses the changing dynamics and emerging trends along with the key drivers, challenges, opportunities and constraints in the AI in Drug Discovery market. The AI in Drug Discovery market size is estimated to increase by USD 9.7 billion at a CAGR of 39.5% from 2023 to 2029. The report includes historic market data from 2023 to 2029. The market value is pegged at USD 4.3 billion.

The Major Players Covered in this Report: IBM Corporation (United States), Microsoft (United States), Google (United States), NVIDIA Corporation (United States), Atomwise, Inc. (United States), Deep Genomics (Canada), Cloud Pharmaceuticals (United States), Insilico Medicine (United States), Benevolent AI (United Kingdom), Exscientia (United Kingdom)

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Definition:
AI in drug discovery refers to the application of artificial intelligence (AI) techniques and computational methods to accelerate and enhance the process of discovering new drugs and therapeutics. This field leverages machine learning, data analysis, and other AI technologies to analyze biological data, chemical structures, and various sources of information to identify potential drug candidates, predict their properties, and optimize their development.

Market Trends:
The integration of diverse biological and chemical data sources, including genomics, proteomics, metabolomics, and chemical libraries, allows for more comprehensive analyses.
AI-driven tools are used to mine and make sense of this wealth of data.

Market Drivers:
AI-driven methods can identify existing drugs that could be repurposed for new therapeutic uses.
This approach can significantly reduce the time and cost of developing new treatments.

Market Opportunities:
AI-driven computational methods can optimize the design of new drug candidates, resulting in molecules with improved pharmacological properties.

Restraints:
Sharing sensitive patient data for research purposes raises concerns about data privacy and security. Compliance with data protection regulations, such as GDPR and HIPAA, can be a challenge.

Challenges: Using patient data for research purposes raises concerns about data privacy and security. Ensuring compliance with data protection regulations and maintaining data security is a complex issue.

Segmentation Overview Development:
In October 2022, To strengthen its own AI-based drug discovery platform, Verseon Corporation purchased Edammo, a business focused on artificial intelligence. On June 2022, A group of international investors with experience investing in the biopharmaceutical and life sciences sectors concluded a $60 million Series D financing for Insilico Medicine, a clinical-stage end-to-end artificial intelligence (AI)-driven drug development firm.

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The titled segments and sub-section of the market are illuminated below:
In-depth analysis of AI in Drug Discovery market segments by Types: Small Molecule, Large Molecule
Detailed analysis of AI in Drug Discovery market segments by Applications: Novel Drug Candidates, Drug Optimization, Preclinical Testing, Drug Monitoring, Others

Major Key Players of the Market: IBM Corporation (United States), Microsoft (United States), Google (United States), NVIDIA Corporation (United States), Atomwise, Inc. (United States), Deep Genomics (Canada), Cloud Pharmaceuticals (United States), Insilico Medicine (United States), Benevolent AI (United Kingdom), Exscientia (United Kingdom)

Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:
- The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)
- North America (United States, Mexico & Canada)
- South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)
- Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)
- Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).

Objectives of the Report:
- -To carefully analyse and forecast the size of the AI in Drug Discovery market by value and volume.
- -To estimate the market shares of major segments of the AI in Drug Discovery market.
- -To showcase the development of the AI in Drug Discovery market in different parts of the world.
- -To analyse and study micro-markets in terms of their contributions to the AI in Drug Discovery market, their prospects, and individual growth trends.
- -To offer precise and useful details about factors affecting the growth of the AI in Drug Discovery market.
- -To provide a meticulous assessment of crucial business strategies used by leading companies operating in the AI in Drug Discovery market, which include research and development, collaborations, agreements, partnerships, acquisitions, mergers, new developments, and product launches.

The market is segmented by Global AI in Drug Discovery Market Breakdown by Application (Novel Drug Candidates, Drug Optimization, Preclinical Testing, Drug Monitoring, Others) by Type (Small Molecule, Large Molecule) and by Geography (North America, South America, Europe, Asia Pacific, MEA).
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Key takeaways from the AI in Drug Discovery market report:
– Detailed consideration of AI in Drug Discovery market-particular drivers, Trends, constraints, Restraints, Opportunities, and major micro markets.
– Comprehensive valuation of all prospects and threats in the
– In-depth study of industry strategies for growth of the AI in Drug Discovery market-leading players.
– AI in Drug Discovery market latest innovations and major procedures.
– Favourable dip inside Vigorous high-tech and market latest trends remarkable the Market.
– Conclusive study about the growth conspiracy of AI in Drug Discovery market for forthcoming years.

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Major highlights from Table of Contents:
AI in Drug Discovery Market Study Coverage:
- It includes major manufacturers, emerging player's growth story, and major business segments of AI in Drug Discovery market, years considered, and research objectives. Additionally, segmentation on the basis of the type of product, application, and technology.
- AI in Drug Discovery Market Executive Summary: It gives a summary of overall studies, growth rate, available market, competitive landscape, market drivers, trends, and issues, and macroscopic indicators.
- AI in Drug Discovery Market Production by Region AI in Drug Discovery Market Profile of Manufacturers-players are studied on the basis of SWOT, their products, production, value, financials, and other vital factors.

Key Points Covered in AI in Drug Discovery Market Report:
- AI in Drug Discovery Overview, Definition and Classification Market drivers and barriers
- AI in Drug Discovery Market Competition by Manufacturers
- AI in Drug Discovery Capacity, Production, Revenue (Value) by Region (2023-2029)
- AI in Drug Discovery Supply (Production), Consumption, Export, Import by Region (2023-2029)
- AI in Drug Discovery Production, Revenue (Value), Price Trend by Type {Small Molecule, Large Molecule}
- AI in Drug Discovery Market Analysis by Application {Novel Drug Candidates, Drug Optimization, Preclinical Testing, Drug Monitoring, Others}

- AI in Drug Discovery Manufacturers Profiles/Analysis AI in Drug Discovery Manufacturing Cost Analysis, Industrial/Supply Chain Analysis, Sourcing Strategy and Downstream Buyers, Marketing
- Strategy by Key Manufacturers/Players, Connected Distributors/Traders Standardization, Regulatory and collaborative initiatives, Industry road map and value chain Market Effect Factors Analysis.

Major questions answered:
- What are influencing factors driving the demand for AI in Drug Discovery near future?
- What is the impact analysis of various factors in the Global AI in Drug Discovery market growth?
- What are the recent trends in the regional market and how successful they are?
- How feasible is AI in Drug Discovery market for long-term investment?

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