AI in Drug Discovery Market Dynamics: Key Drivers, Challenges, and Opportunities
AI in Drug Discovery Market Overview:
Maximize Market Research is a Business Consultancy Firm that has published a detailed analysis of the AI in Drug Discovery Market. The report includes key business insights, demand analysis, pricing analysis, and competitive landscape. The analysis in the report provides an in-depth aspect at the current status of the AI in Drug Discovery market, with forecasts outspreading to the year 2032.
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AI in Drug Discovery Market Scope and Methodology:
Maximize market research covers competitive landscape, key competitors and their market shares for better understanding of the industry. The report also discusses new product developments and technology trends. The report provides a detailed overview of the AI in Drug Discovery market through both quantitative and qualitative analysis. The report aims to help readers develop business strategies and assess their position in the market by providing a comprehensive analysis of the competitive landscape. The purpose of the report is to provide the necessary information to make an informed decision regarding the AI in Drug Discovery market. In addition, the report delivers information on revenue, sales volume, and average price of the entire market and sub-segments in various segments and regions to assist portable notebook manufacturers, new entrants, and companies involved in the industry chain market.
AI in Drug Discovery Market Regional Insights:
In a regional analysis, the AI in Drug Discovery market is segmented into North America, South America, Europe, the Middle East and Africa, and Asia Pacific. These regions are classified as corresponding countries such as the United States, Canada, Mexico, United Kingdom, Germany, France, Spain, Italy, Rest of Europe, China, India, Japan, Australia, and South Korea.
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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 2024, 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
By application, the AI in Drug Discovery Market is divided into four segments: pharmacology, drug design, drug screening, and drug repurposing. The market is dominated by AI employed in drug design and drug 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.
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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 is the growth rate of the AI in Drug Discovery Market?
- What is the CAGR at which the AI in Drug Discovery market will grow during the forecast period?
- What are the different segments of the AI in Drug Discovery Market?
- Which is the fastest-growing region in the AI in Drug Discovery market?
- Which are the factors expected to drive the AI in Drug Discovery market growth?
- What growth strategies are the players considering to increase their presence in AI in Drug Discovery?
- What are the upcoming opportunities and trends for the AI in Drug Discovery Market?
- What are the recent industry trends that can be implemented to generate additional revenue streams for the 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?
- Who are the leading companies and what are their portfolios in AI in Drug Discovery Market?
Key Offerings:
- Past Market Size and Competitive Landscape
- Past Pricing and price curve by region
- 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
- Legal Aspects of Business by Region
- Lucrative business opportunities with SWOT analysis
- Recommendations
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