AI in Drug Discovery Market Overview

Using AI in Drug Discovery The market's size was estimated at USD 0.15 billion in 2023, and between 2024 and 2030, its total income is projected to increase by 29.6% to reach over USD 1.95 million.

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AI in Drug Discovery Market Report Scope and Research Methodology

The portfolio, technology adoption, financial standing, merger and acquisition, joint ventures and strategic alliances are involved in the competitive environment for the AI in Drug Discovery market. The report is an in-depth analysis of the AI in Drug Discovery market provided with key findings including Pricing, investments, expansion plans, and physical presence in the AI in Drug Discovery market. The bottom-up approach was used to understand the AI in Drug Discovery market size estimation and growth rates in the report. The report provides information on the drivers, restraints, opportunities and challenges of the AI in Drug Discovery market.

The AI in Drug Discovery Market report portrays the scope of the industry, including the segmentation by product type and end-use industry, and examines various emerging opportunities while analyzing supply chain dynamics with market size estimates, growth, and competition including soil survey. The research method gathers large amounts of data into a brief survey using primary and secondary data collection, rigorous research methods, quality assurance procedures, and ethical considerations, and provides users gain insights that can be used for informed decisions in the AI in Drug Discovery industry.

AI in Drug Discovery Market Regional Insights

Regional analysis is conducted to assess the status of the AI in Drug Discovery market in countries belonging to North America, Europe, Asia Pacific, Latin America, the Middle East, and Africa. The report provides a comprehensive analysis of several factors such as market size, growth rate, and import-export activities, across different regions. The AI in Drug Discovery market is segmented broadly into these regions, allowing for a detailed understanding of the market landscape and dynamics in each geographical area.

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AI in Drug Discovery Market Segmentation  :

by Offering

Software
Services
Hardware

The market for AI in drug discovery is divided into two segments: software and hardware services. Over the course of the projected period, software is anticipated to dominate the market. Pharmaceutical businesses may now more effectively analyze large datasets, model molecular interactions, and forecast therapeutic efficacy thanks to AI software platforms. For tasks like virtual screening, biomarker identification, and drug repurposing, these software solutions incorporate cutting-edge technology like deep learning, natural language processing, and predictive analytics. Software is still essential to the AI ecosystem since it drives the fundamental operations of AI in drug development, even though hardware and services also play a role.

by Therapeutic

Area Oncology
Neurology
Cardiovascular Diseases
Metabolic Diseases
Immunology
Others

The market is divided into several segments, including immunology, metabolic diseases, cardiovascular diseases, neurology, and oncology. In 2023, oncology will hold the biggest proportion of the AI drug discovery market. Given its enormous potential to revolutionize cancer treatment, oncology stands out as the most beneficial therapeutic field for AI in drug discovery. Traditional drug development strategies are long and expensive since cancer is one of the most complicated and heterogeneous diseases, with each kind displaying distinct genetic and molecular profiles.

by Technology

Machine Learning
Natural Language Processing
Others

by Application

Target Selection and Validation
Drug Screening and Lead Optimization
Clinical Studies
Preclinical studies
Others

The market for AI in drug discovery is divided into segments based on application, including pharmacology, drug design, drug screening, and drug repurposing. The market is dominated by AI used in drug design and screening.The AI utilized in drug scanning, according to MMR findings, demonstrated that 70% of antimicrobial activity could correctly anticipate the medication's hazardous qualities with a mere 4% error rate.AI is frequently used to identify inhibitory molecules for particular proteins.

AI in Drug Discovery Market Key Players : 

1. GNS Healthcare (US)
2. BioSymetrics (US)
3. BPGbio, Inc (US)
4. Atomwise Inc (US)
5. Insitro (US)
6. NVIDIA Corporation (US)
7. IBM Corporation (US)
8. Microsoft Corporation (US)
9. Aria Pharmaceuticals, Inc. (US)
10. Insilico Medicine (US)
11. NuMedii, Inc. (US)
12. Owkin Inc. (US)
13. Schrödinger, Inc. (US)
14. DEEP GENOMICS (Canada)
15. Cyclica (Canada)
16. BenevolentAI (UK)
17. Exscientia (UK)
18. Iktos (France)
19. Euretos (Netherlands)
20. Evaxion Biotech A/S (Denmark)
21. XtalPi Inc (China)
22. Standigm (South Korea)

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Key questions answered in the AI in Drug Discovery Market are:

• What is AI in Drug Discovery?
• What was the AI in Drug Discovery market size in 2023?
• What is the growth rate of the AI in Drug Discovery Market?
• Which are the factors expected to drive the AI in Drug Discovery market growth?
• What are the different segments of the AI in Drug Discovery Market?
• What growth strategies are the players considering to increase their presence in AI in Drug Discovery?
• What are the upcoming industry applications and trends for the AI in Drug Discovery Market?
• What segments are covered in the AI in Drug Discovery Market?
• Who are the leading companies and what are their portfolios in AI in Drug Discovery Market?
• What segments are covered in the AI in Drug Discovery Market?
• Who are the key players in the AI in Drug Discovery market?

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Key Offerings:

• Market Size, Share, Size & Forecast by Different Segment 
• Market Dynamics – Growth Drivers, Restraints, Opportunities, and Key Trends by Region
• Market Segmentation – A detailed analysis by segment with their sub-segments and Region
• Competitive Landscape – Profiles of selected key players by region from a strategic perspective
• Competitive landscape – Market Leaders, Market Followers, Regional player
• Competitive benchmarking of key players by region
• PESTLE Analysis
• PORTER’s analysis
• Value chain and supply chain analysis
• Legal Aspects of Business by Region
• Lucrative business opportunities with SWOT analysis
• Recommendations

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