AI in Drug Discovery Market By Component (Software, Service), Technology, By Application (Immuno-oncology, Neurodegenerative, Cardiovascular, Metabolic), By End User, By Geography - Global Opportunity Analysis and Industry Forecast up to 2026

  • July, 2020
  • Domain: Healthcare - Pharmaceuticals
Pages: 203
Tables: 149
Charts: 138
Regions/Countries: 4 / 13
Companies: 20
Enquiry Hours: 10
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Artificial intelligence is the simulation of human intelligence in machines that are designed to think like humans and copy their actions. This gives potential to transform the pharmaceutical industry as well. Many pharma competitors are now investing in this technology at some level.

Research Methodology:

The AI in drug delivery market has been analyzed by utilizing the optimum combination of secondary sources and in-house methodology, along with an irreplaceable blend of primary insights. The real-time assessment of the market is an integral part of our market sizing and forecasting methodology. Our industry experts and panel of primary participants have helped in compiling relevant aspects with realistic parametric estimations for a comprehensive study. The participation share of different categories of primary participants is given below:

Global AI in Drug Discovery Market

There is a significant increase in the number of applications that focuses on the target and drug discovery, preclinical and clinical development, and post approval activities.  AI can help in improving the drug approval rates, reduce development costs, swift availability of medications and help patients comply with their treatments. The global AI in the drug discovery market has a high demand due to its increasing need to shorten the drug discovery process in order to get drugs faster for treating various incurable and viral diseases. Moreover, AI plays an important role to understand the mechanism of disease by determining biomarkers and creating data or models for the drug discovery process which will ultimately drive the market over the next few years.

To use the opportunity of diversifying the drug pipelines, AI-enabled prediction tools can improve the speed, accuracy, and preclinical testing and also it can open new research leads by availing more competitive R&D strategies. Failure to demonstrate value compared to available therapies is a key factor undermining clinical trial progression. Finding new niches of competitive advantage could reduce withdrawals and improve asset sales.

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AI in Drug Discovery Market

AI in drug discovery research report is segregated into following segments:

By Component

  • Software
  • Services

By Technology

  • Machine Learning
    • Deep Learning
    • Supervised Learning
    • Reinforcement Learning
    • Unsupervised Learning
    • Other Machine Learning
  • Other Technologies

By Application

  • Immuno-oncology
  • Neurodegenerative Diseases
  • Cardiovascular Diseases
  • Metabolic Diseases
  • Other Applications        

By End User

  • Pharmaceutical & Biotechnology Companies
  • Contract Research Organizations
  • Research Centers, Academic & Government Institutes

The market value of AI in Drug Discovery recorded in 2020 is $343.78 million and predictions are made on its future growth at a CAGR of 43.24%. There are four major factors which are the result of its increasing growth:

  • Requisite control on Cost and Time of Drug Discovery & Development
  • Demanding requirement of precision medicine
  • Expanding Cross-Industry Collaborations and Partnerships
  • Growing number of troublemakers of AI drug discovery

AI in drug discovery has enlightened the productivity of medical facilities, and on the same page has helped in boosting care facilities. Extensive medical facilities always try to opt for better services and latest technologies with minimum space for mistakes. This technology has fastened the drug construction procedures for cases which need specialized medicinal attention, which subsequently decreases failure risks and also the cost of research & development procedures.

Some of the vital players within the space of AI in Drug Discovery are as follows;

  • IBM Corporation
  • Microsoft Corporation
  • Google Inc.
  • NVIDIA Corporation
  • Pfizer, Merck
  • GSK
  • Novartis
  • AstraZeneca
  • Abbvie
  • Elli Lilly
  • Atomwise, Inc
  • Deep Genomics
  • Cloud Pharmaceuticals
  • Exscientia
  • Cyclica
  • Numerate
  • Envisagenics
  • OWKIN, Inc.
  • Verge Genomics

Another important factor of reducing the drug price has pressured the drug manufacturers to boost the production of AI for the drug discovery market. Efficient working of AI reduced the failure rate of clinical trials and also eradicated the cost of length research and development in drug discovery. Another factor which can bolster the anticipated growth of the Global AI for the drug discovery market is the lack of skilled health care professionals.

Currently, only one out of ten drugs are approved after clinical trials. Mostly because of lack of effectiveness and safety issues. Considering the growing cost of bringing a drug into the market, a minimum of ten percent improvement in the prediction of accuracy can save billions of dollars invested on drug development for AI in Drug Discovery vendors which compensate for both the residential as well as commercial sectors. So, improving the accuracy of predictions on the efficacy and safety of drugs is highly required. With a predicted CAGR of 43.24%, we have a lot of opportunities at our disposal and this report will help in understanding the current market dynamics, changing needs, and innovations that might be needed to make the user experience enriching.

  • This report would be the foundation for any research on the AI in Drug Discovery, vendor capabilities, SWOT of the vendors and framework for data analysis for further advanced innovation
  • An insight to the major competitors in the market, their journey and the competitive edge which one should have to beat other players is given
  • The report contains an understanding of technological innovations and advanced solutions for the AI in Drug Discovery.
  1. Executive Summary
    1. Focused Approach & Technological Acceptance Driving High Market Griwth       
  2. Industry Outlook    
    1. Industry Snapshot         
      1. Industry Overview
      2. Key Trends             
  3. Market Snapshot    
    1. Market Definition          
    2. Market Outlook             
    3. PEST Analysis  
    4. Porter’s Five Force Analysis       
  4. Market Characteristics         
    1. Market Evolution           
    2. Advantages / Disadvantages of Market
    3. Market Segmentation 
    4. Market Dynamics          
      1. Drivers     
        1. Increasing number of cross-industry alliances and partnerships  
        2. Necessity to control drug discovery & development prices and decrease time      
      2. Restraint 
        1. Limited availability of data sets 
      3. Opportunities       
        1. Growing biotechnology industry
        2. Emerging markets          
      4. DRO Impact Analysis          
  5. AI in Drug Discovery Market, By Offering    
    1. Overview          
    2. Software           
    3. Service
  6. AI in Drug Discovery Market, By Technology              
    1. Overview          
    2. Machine Learning          
      1. Deep Learning       
      2. Supervised Learning           
      3. Reinforcement Learning   
      4. Unsupervised Learning     
      5. Other Machine Learning   
    3. Other Technologies      
  7. AI in Drug Discovery Market, By Application              
    1. Overview          
    2. Immuno-oncology        
    3. Neurodegenerative Diseases   
    4. Cardiovascular Diseases             
    5. Metabolic Diseases      
    6. Other Applications        
  8. AI in Drug Discovery Market, By End-User   
    1. Overview          
    2. Pharmaceutical & Biotechnology Companies     
    3. Contract Research Organizations            
    4. Research Centers, Academic & Government Institutes  
  9. AI in Drug Discovery Market, By Geography
    1. Overview          
    2. North America
      1. North America AI in Drug Discovery Market, By Geography
      2. North America AI in Drug Discovery Market, By Offering    
      3. North America AI in Drug Discovery Market, By Technology              
      4. North America AI in Drug Discovery Market, By Application               
      5. North America AI in Drug Discovery Market, By End-user   
      6. The U.S. AI in Drug Discovery Market          
        1. The U.S. AI in Drug Discovery Market, By Offering             
        2. The U.S. AI in Drug Discovery Market, By Technology      
        3. The U.S. AI in Drug Discovery Market, By Application       
        4. The U.S. AI in Drug Discovery Market, By End-user           
      7. Canada AI in Drug Discovery Market            
        1. Canada AI in Drug Discovery Market, By Offering              
        2. Canada AI in Drug Discovery Market, By Technology        
        3. Canada AI in Drug Discovery Market, By Application         
        4. Canada AI in Drug Discovery Market, By End-user             
      8. Mexico AI in Drug Discovery Market            
        1. Mexico AI in Drug Discovery Market, By Offering
        2. Mexico AI in Drug Discovery Market, By Technology        
        3. Mexico AI in Drug Discovery Market, By Application         
        4. Mexico AI in Drug Discovery Market, By End-user             
    3. Europe
      1. Europe AI in Drug Discovery Market, By Geography              
      2. Europe AI in Drug Discovery Market, By Technology             
      3. Europe AI in Drug Discovery Market, By Application              
      4. Europe AI in Drug Discovery Market, By End-user  
      5. The U.K. AI in Drug Discovery Market          
        1. The U.K. AI in Drug Discovery Market, By Offering            
        2. The U.K. AI in Drug Discovery Market, By Technology      
        3. The U.K. AI in Drug Discovery Market, By Application       
        4. The U.K. AI in Drug Discovery Market, By End-user           
      6. Germany AI in Drug Discovery Market        
        1. Germany AI in Drug Discovery Market, By Offering           
        2. Germany AI in Drug Discovery Market, By Offering           
        3. Germany AI in Drug Discovery Market, By Application     
        4. Germany AI in Drug Discovery Market, By End-user         
      7. France AI in Drug Discovery Market             
        1. France AI in Drug Discovery Market, By Offering
        2. France AI in Drug Discovery Market, By Technology         
        3. France AI in Drug Discovery Market, By Application          
        4. France AI in Drug Discovery Market, By End-user              
      8. Rest of Europe AI in Drug Discovery Market             
        1. Rest of Europe AI in Drug Discovery Market, By Offering
        2. Rest of Europe AI in Drug Discovery Market, By Technology         
        3. Rest of Europe AI in Drug Discovery Market, By Application          
        4. Rest of Europe AI in Drug Discovery Market, By End-user
    4. Asia Pacific       
      1. Asia Pacific AI in Drug Discovery Market, By Geography      
      2. Asia Pacific AI in Drug Discovery Market, By Offering            
      3. Asia Pacific AI in Drug Discovery Market, By Technology     
      4. Asia Pacific AI in Drug Discovery Market, By Application      
      5. Asia Pacific AI in Drug Discovery Market, By End-user          
      6. Japan AI in Drug Discovery Market
        1. Japan AI in Drug Discovery Market, By Offering  
        2. Japan AI in Drug Discovery Market, By Technology           
        3. Japan AI in Drug Discovery Market, By Application            
        4. Japan AI in Drug Discovery Market, By End-user
      7. China AI in Drug Discovery Market
        1. China AI in Drug Discovery Market, By Offering  
        2. China AI in Drug Discovery Market, By Technology           
        3. China AI in Drug Discovery Market, By Application            
        4. China AI in Drug Discovery Market, By End-user
      8. India AI in Drug Discovery Market 
        1. India AI in Drug Discovery Market, By Offering   
        2. India AI in Drug Discovery Market, By Technology             
        3. India AI in Drug Discovery Market, By Application             
        4. India AI in Drug Discovery Market, By End-user  
      9. Rest of Asia Pacific AI in Drug Discovery Market     
        1. Rest of Asia Pacific AI in Drug Discovery Market, By Offering        
        2. Rest of Asia Pacific AI in Drug Discovery Market, By Technology  
        3. Rest of Asia Pacific AI in Drug Discovery Market, By Application  
        4. Rest of Asia Pacific AI in Drug Discovery Market, By End-user       
    5. Rest of the World          
      1. Rest of the World AI in Drug Discovery Market, By Offering
      2. Rest of the World AI in Drug Discovery Market, By Technology        
      3. Rest of the World AI in Drug Discovery Market, By Application         
      4. Rest of the World AI in Drug Discovery Market, By End-user             
  10. Competitive Landscape       
    1. Growth Strategies Analysis         
    2. Market Developments 
      1. Expansions        
      2. Product Launches & Exhibitions
  11. Vendor Profiles       
    1. Microsoft Corporation  
      1. Company Overview       
      2. Financial Landscape       
      3. Product/Service Landscape        
    2. IBM Corporation             
      1. Company Overview       
      2. Financial Landscape       
      3. Product/Service Landscape        
    3. Alphabet Inc.    
      1. Company Overview       
      2. Financial Landscape       
      3. Product/Service Landscape        
    4. NVIDIA Corporation       
      1. Company Overview       
      2. Financial Landscape       
      3. Product/Service Landscape        
    5. Atomwise, Inc  
      1. Company Overview       
      2. Product/Service Landscape        
    6. Deep Genomics Inc        
      1. Company Overview       
      2. Product/Service Landscape        
    7. Cloud Pharmaceuticals Inc           
      1. Company Overview       
      2. Product/Service Landscape        
    8. Insilico Medicine Inc      
      1. Company Overview       
      2. Product/Service Landscape        
    9. BenevolentAI Ltd            
      1. Company Overview       
      2. Product/Service Landscape        
    10. Exscientia           
      1. Company Overview       
      2. Product/Service Landscape        
  12. Companies to Watch             
    1. Cyclica Inc          
      1. Company Overview       
      2. Product/Service Landscape        
    2. BioAge Labs Inc
      1. Company Overview       
      2. Product/Service Landscape        
    3. NuMedii Inc       
      1. Company Overview       
      2. Product/Service Landscape        
    4. Envisagenics Inc
      1. Company Overview       
      2. Product/Service Landscape        
    5. Owkin Inc           
      1. Company Overview       
      2. Product/Service Landscape        
    6. Xtalpi, Inc           
      1. Company Overview       
      2. Product/Service Landscape        
    7. Verge Genomics              
      1. Company Overview       
      2. Product/Service Landscape        
    8. Berg LLC              
      1. Company Overview       
      2. Product/Service Landscape        
    9. Numerate (Takeda pharmaceutical company limited)      
      1. Company Overview       
      2. Financial Landscape       
      3. Product/Service Landscape        
    10. Twoxar, Incorporated (Twoxar, Incorporated)    
      1. Company Overview       
      2. Product/Service Landscape        
  13. Annexure   
    1. Report Scope    
    2. Research Methodology
      1. Data Collation & In-house Estimation     
      2. Market Triangulation     
      3. Forecasting        
    3. Study Declarations          
    4. Report Assumptions      
    5. Stakeholders    
    6. Abbreviations

Research Framework

Infoholic research works on a holistic 360° approach in order to deliver high quality, validated and reliable information in our market reports. The Market estimation and forecasting involves following steps:

  • Data Collation (Primary & Secondary)
  • In-house Estimation (Based on proprietary data bases and Models)
  • Market Triangulation
  • Forecasting

Market related information is congregated from both primary and secondary sources.

Primary sources

involved participants from all global stakeholders such as Solution providers, service providers, Industry associations, thought leaders etc. across levels such as CXOs, VPs and managers. Plus, our in-house industry experts having decades of industry experience contribute their consulting and advisory services.

Secondary sources

include public sources such as regulatory frameworks, government IT spending, government demographic indicators, industry association statistics, and company publications along with paid sources such as Factiva, OneSource, Bloomberg among others.

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