AI in Drug Discovery Market Report Overview

The report encompasses the latest revenue and trends within the AI in Drug Discovery market. It provides an introduction to the AI in Drug Discovery market, defining its scope, structure, and strategies for proactive and pre-planned management. The report hones in on the factors that impact the AI in Drug Discovery Market in both positive and negative ways. Additionally, it assists in gauging the prospective growth of the AI in Drug Discovery Market in the upcoming forecast years. The report serves as a valuable tool for shaping market strategies and understanding the contextual landscape of the AI in Drug Discovery industry.

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AI in Drug Discovery Market Report Scope and Research Methodology

The primary objective of the Global AI in Drug Discovery Market report is to deliver a comprehensive analysis of the market in accessible language for stakeholders. The research has involved segmenting the AI in Drug Discovery market into major categories, which were further subdivided into various sub-segments. The report offers a detailed examination of drivers, opportunities, restraints, and challenges within the AI in Drug Discovery industry, segmented both regionally and by segment.

The report on the AI in Drug Discovery Market furnishes an exhaustive analysis, incorporating historical data, insightful perspectives, facts, and statistically validated market statistics. These statistics are based on a well-founded set of assumptions and methodologies. The collection of data for the AI in Drug Discovery market report relied on both primary and secondary research methods. This amalgamated data was meticulously analyzed to produce precise and reliable findings.

Incorporating secondary research, the report delves into annual and financial reports of leading players, while primary research involves interviews with key opinion leaders and experts within the AI in Drug Discovery industry, including frontline personnel, entrepreneurs, and marketing professionals. The estimation of the AI in Drug Discovery market size was achieved through a bottom-up approach. The report employs SWOT analysis to outline the strengths and weaknesses of the AI in Drug Discovery Market, and leverages PESTLE and PORTER analyses to outline the impacts of macroeconomic and microeconomic factors on the global AI in Drug Discovery Market.

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AI in Drug Discovery Market Regional Insights

Geographically, the report is segmented into several key countries, with AI in Drug Discovery market size, growth rate, import and export of AI in Drug Discovery market in these countries, which cover North America, U.S., Canada, Mexico, Europe, UK, Germany, France, Spain, Italy, Rest of Europe, Asia Pacific, China, India, Japan, Australia, South Korea, ASEAN Countries, Rest of APAC, South America, Brazil, and the Middle East and Africa.

AI in Drug Discovery Market Segmentation

by Offering

Software
Services
Hardware

The market for AI in drug discovery is divided into two segments based on offerings: 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 therapeutic areas, 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 several 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.

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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 Report are:

• What is AI in Drug Discovery?
• Which segment held the largest share in the AI in Drug Discovery market?
• Which are the key factors driving the AI in Drug Discovery market growth?
• Which region holds the maximum share in the AI in Drug Discovery market?
• What is the expected CAGR of the AI in Drug Discovery market during the forecast period?
• Who are the major players in the AI in Drug Discovery market?
• What key trends are expected to emerge in the AI in Drug Discovery market in the coming years?

Key Offerings:

• A detailed Analysis of the Market Overview
• Market Share, Size & Forecast by Revenue 
• Market Dynamics – Growth Drivers, Restraints, Investment Opportunities, and Key Trends
• Market Segmentation – A detailed analysis by Route of administration, Application, Facility of use and Region and Region
• Competitive Landscape – Top Key Vendors and Other Prominent Vendors

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