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Medical Markets:

Life Science Informatics: Strategies & Business Models (report)

Datacomm Research
Market Study  May 2003

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Life science informatics promises to harness the flood of data from the Human Genome Project and related research. But living organisms are complex, and designing drugs exclusively in silico is not ready for prime time. Based on months of research, this report sheds new light on the life science informatics industry: what's real, what's not, and how today's science-driven ventures can become tomorrow's profit makers.

More life science informatics vendors target drug R&D than the market can support, while few target diagnostic applications that could quickly scale up to the larger point-of-care market. That is one of the main conclusions of the new 143-page report Life Science Informatics: Strategies & Business Models, released today by Datacomm Research Company.

"Drug discovery is vital and glamorous, but the number of large pharmaceutical and biotech companies is relatively small," said Ira Brodsky, primary author of the report and President of Datacomm Research. "The opportunities for providing faster and more accurate diagnosis, treatment personalization, and effectiveness monitoring are wide open," he concluded.

Life Science Informatics: Strategies & Business Models  is the latest in Datacomm Research’s CompetitiveEdge™ series. The report is based on more than two dozen in-depth interviews and includes sections on life science informatics applications and markets, information technology infrastructure (including storage area networks, server clusters, and grid computing), and business models. More than 70 vendors—from 3rd Millenium, Inc. to Visualize, Inc.—are profiled.

Datacomm Research Company is a leader in tracking, analyzing, and forecasting emerging high tech markets. Other Datacomm reports include Third Generation Wireless, Digital Cameras, and Voice of the Internet.

Executive Summary      
     The current market       
     Opportunities & illusions           
     Business models & strategies   
     Conclusions & recommendations          
Mapping the Genome and Searching for Profits
     Life Science Informatics            
     Applications     
          Research         
          Health care      
          Pharmaceuticals            
          Agriculture      
          Veterinary       
          Food processing          
          Forensics         
          Manufacturing  
          IT applications 
Information technology (IT) infrastructure         
     Data access     
     Data storage   
     Computing architectures            
The Market     
     Pharmaceutical and biotech firms           
     Government and university research labs          
     Healthcare providers     
     Information Technology Opportunities & Requirements
Regulatory Issues          
Business models           
     Focus: Hardware          
          Computing hardware sales       
          Storage hardware sales
          Networking hardware sales      
          Instrumentation hardware sales 
     Focus: Life Science Informatics Services          
          Application Service Provider (ASP)     
          Outsourced Drug Discovery Processes
          Consulting       
     Focus: Software           
          Discipline-based tools  
          Task-based tools         
          Software: off-the-shelf 
          Software: customized for flat fee            
          Software licensing: free with charges for upgrades, support, and extras  
          Software licensing: modest upfront fee plus royalties     
          Software licenses: upfront fee plus annual maintenance and consulting    
     Focus: Systems & Other           
          Integration model         
          Eclectic model 
          Strategic collaboration/acquisition model           
          Drug discovery model  
          Healthcare applications model  
Vendor Profiles            
     3rd MILLENIUM INC.           
     ACCELRYS   
     ACLARA       
     AFFYMETRIX            
     AGILENT TECHNOLOGIES
     ALGONOMICS          
     ALKAMI BIOSYSTEMS       
     ANVIL            
     ARQULE         
     APPLIED BIOSYSTEMS GROUP     
     BIODISCOVERY       
     BIOINFORMATICS SOLUTIONS    
     BIOSENTIENTS         
     BIOTOOLS INC.        
     BLACKSTONE COMPUTING          
     CALLIDA GENOMICS         
     CB TECHNOLOGIES            
     CELERA GENOMICS            
     CEREP            
     COMPUGEN 
     CURAGEN    
     DECODE GENETICS
     DECODON    
     DELTAGEN, INC.      
     DISCOVERY PARTNERS INTERNATIONAL         
     ENTELOS INC.          
     GENEDATA  
     GENEFORMATICS, INC.     
     GENEPROT   
     GENE LOGIC
     GENODYSSEE           
     GENOME THERAPEUTICS CORP. 
     GENOMICS COLLABORATIVE      
     GENOMIC SOLUTIONS       
     GEOSPIZA    
     HEWLETT-PACKARD          
     IBM LIFE SCIENCES            
     IMAGING RESEARCH          
     INCYTE GENOMICS, INC. 
     INFORMAX  
     KSHEMA TECHNOLOGIES
     LABSTREAM
     LARGE SCALE BIOLOGY CORP.   
     LINUX NETWORX   
     LION BIOSCIENCE 
     MOLECULAR MINING        
     MOTOROLA LIFE SCIENCES         
     NANOGEN   
     NEXUS GENOMICS
     PANVERA LLC          
     PARACEL       
     PARTEK         
     PERLEGEN SCIENCES         
     PHARSIGHT  
     PHASE FORWARD 
     PHT CORPORATION            
     PHYSIOME SCIENCES        
     PLATFORM COMPUTING  
     ROSETTA INPHARMICS      
     SILCON GENETICS 
     SPOTFIRE      
     STRAND GENOMICS PVT. LTD.         
     STRUCTURAL BIOINFORMATICS INC.    
     STRUCTURAL GENOMICS
     THIRD WAVE TECHNOLOGIES     
     TIMELOGIC  
     TISSUEINFORMATICS        
     TRIPOS           
     TURBOWORX           
     UNITED DEVICES     
     VISUALIZE INC.     

Tables
Table 1 Factors Driving/Inhibiting Life Science Informatics Business
Table 2 Major life science informatics activities 
Table 3 Major supercomputer manufacturers
Table 4 Twenty largest supercomputing sites
Table 5 Comparison of supercomputers, server clusters, and grid computing
Table 6 Major manufacturers of server clusters
Table 7 Comparison of high speed network interfaces
Table 8 The largest pharmaceutical and biotech firms
Table 9 Buyer profiles for four major life science informatics market segments
Table 10 Growth in GenBank database, 1982 - 2002
Table 11 Advantages & disadvantages (for customers) of using application service providers (ASPs)
Table 12 Business model evolution for select life science informatics vendors

 

Figures
Figure 1 Major high performance computing architectures (supercomputer, server cluster, and grid)
Figure 2 Percentage of top 500 high performance computing sites dedicated to life sciences 
Figure 3 Blade server architecture saves space and reduces power consumption
Figure 4 Growth in European Molecular Biology Laboratory (EMBL) database, 1982 - 2003 
Figure 5 New drug applications, 1995 – 2003 (first part of 2003)
Figure 6 Drug development & approval process   
Figure 7 Breakdown of drug development costs, US$ millions





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