Transparency Market Research
Computational Biology Market - Global Industry Analysis, Size, Share, Growth, Trends And Forecast, 2012 – 2018
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Published Date: MAY 2013
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REPORT DESCRIPTION Computational Biology Market - Global Industry Analysis, Size, Share, Growth, Trends And Forecast, 2012 – 2018 The computational biology market is predicted to have a notable growth owing to its wide use by biotechnology and pharmaceutical companies to reduce the incidences of late stage failures of their drugs and to thereby curb R&D expenditure. Computational biology is also assisting in reducing the extensive use of humans in trials and is therefore useful for pediatric trials, trials on pregnant women and orphan disease research. This report analyses the global market for computational biology by two main types of studies-cellular modeling and disease modeling. Each of these segments has been further analyzed by various studies with use of simulation, right from drug discovery to drug development. The market has also been bifurcated on the basis of tools which include databases, software and IT infrastructure. The computational biology services market highlights the trend of in-house and contract computational biology. The end users market studies the usage pattern of academic research institutes and commercial industry. All the above mentioned segments are analyzed on the basis of market size in terms of USD million
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and their forecasts for the period 2012 to 2018 have also been provided. The CAGR (%) for each market segment has been estimated for the forecast period 2012 to 2018, considering 2011 as the base year. Geographically, this market has been divided into four major regions which include North America, Europe, Asia and RoW (Rest of the world). Market sizes, forecasts and % CAGR for each region have been provided. The major drivers, restraints, challenges and growth opportunities and other qualitative dynamics have been considered in the market overview section of this report. The competitive landscape of this industry has been covered under market share analysis by key players. Our recommendation chapter provides assistance to industry players on ways to enter this market or to establish sustainable competitive advantage. The global computational biology market is segmented as follows: Computational Biology Market, By Types
Cellular & Biological Simulation o
Computational Genomics
o
Computational Proteomics
o
Pharmacogenomics
o
Others (Transcriptomics/ Metabolomics)
Disease Modeling and Simulation o
Drug Discovery
Target Identification
Target Validation
Lead Discovery
Lead Optimization
Drug Development o
Preclinical
Pharmacokinetics
Pharmacodynamics
Clinical trials o
Phase I
o
Phase II
o
Phase III
Human Body Simulation Software
Computational Biology Market, By Services
In-House
Contract
Computational Biology Market, By End Users
Academics
Industry/ Commercial Players
Computational Biology Market, By Geography
North America
Europe
Asia
Rest of the World (RoW)
Industry/ Commercial Players
TABLE OF CONTENTS Chapter 1 Introduction 1.1 Report Description 1.2 Market Segmentation 1.3 Scope Of The Report 1.4 Research Methodology 1.4.1 Sources 1.4.1.1 Secondary Research 1.4.1.2 Primary Research
1.4.1.3 Models 1.5 Assumptions
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Chapter 2 Executive Summary 2.1 Market Snapshot: Global Computational Biology Market (2011 & 2018) 2.2 Global Computational Biology Market, by Types, 2011 (USD Million)
Chapter 3 Global Computational Biology Market Dynamics 3.1 Market Overview 3.2 Drivers 3.2.1 Failure Of Drug Candidates in Late Stage of Clinical Trials 3.2.1.1 Average Cost to Develop One New Drug (1975 -2011) (USD Million) 3.2.1.2 Trend of Rise in Failure of Phase II Clinical Trials (2006- 2012) 3.2.1.3 Reasons For Failure (%) in Phase II & Phase III 3.2.2 Enhanced Computational Tools 3.2.3 Improved Government Funding &Industrial Support 3.3 Restraints 3.3.1 Lack of Standardization 3.3.2 Non-Verified Predictive Models 3.4 Challenges 3.4.1 Shortage of Skilled Resources 3.4.2 Data Storage 3.5 Opportunities 3.5.1 Cloud Computing
3.5.2 Modelling And Simulations in Paediatrics Drug Development 3.6 Porters Five Forces Analysis 3.6.1 Bargaining Power of Suppliers 3.6.2 Bargaining Power of Buyers 3.6.3 Threat of New Entrants 3.6.4 Threat Of Substitutes 3.6.5 Competitive Rivalry 3.7 Market Attractiveness Analysis 3.7.1 Market Attractiveness Analysis: Global Computational Biology Market, by Geography 3.8 End User Analysis 3.8.1 End User Analysis: Global Computational Biology Market, 2011 & 2018 (%)
Chapter 4 Global Computational Biology Market, by Applications 4.1 Introduction 4.1.1 Cellular Modelling and Simulation 4.1.1.1 Computational Genomics 4.1.1.1.1 Global Computational Genomics Market Revenues, 2010 – 2018 (USD Million) 4.1.1.2 Computational Proteomics 4.1.1.2.1 Global Computational Proteomics Market Revenues, 2010 – 2018 (USD Million) 4.1.1.3 Pharmacogenomics 4.1.1.3.1 Global Computational Pharmacogenomics Market Revenues, 2010 – 2018 (USD Million) 4.1.1.4 Others (Metabolomics/ Transcriptomics) 4.1.1.4.1 Global Computational Others (Metabolomics/Transcriptomics) Market Revenue, 2010 – 2018 (USD Million) 4.1.2 Disease Modelling And Simulation Applications / CADD (Computer Aided Drug Design)
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4.1.2.1 Drug Discovery 4.1.2.1.1 Global Computational Drug Discovery Market Revenues, 2010 – 2018 (USD Million) 4.1.2.1.2 Target Identification 4.1.2.1.2.1 Global Computational Target Identification Market Revenues, 2010 – 2018 (USD Million) 4.1.2.1.3 Target Validation 4.1.2.1.3.1 Global Computational Target Validation Market Revenues, 2010 – 2018 (USD Million) 4.1.2.1.4 Lead Identification/Discovery 4.1.2.1.4.1 Global Computational Lead Identification Market Revenues, 2010 – 2018 (USD Million) 4.1.2.1.5 Lead Optimization 4.1.2.1.5.1 Global Computational Lead Optimization Market Revenues, 2010 – 2018 (USD Million) 4.1.2.1 Drug Development 4.1.2.1.1 Preclinical 4.1.2.1.1.1 Global Computational Preclinical Trials Market Revenues, 2010 – 2018 (USD Million) 4.1.2.1.2 Clinical Trials 4.1.2.1.2.1 Global Computational Clinical Trials Market Revenues, 2010 – 2018 (USD Million) 4.1.2.1.2.2 Phase I 4.1.2.1.2.3 Global Computational Clinical Trials Phase I Market Revenues, 2010 – 2018 (USD Million) 4.1.2.1.2.4 Phase II 4.1.2.1.2.5 Global Computational Clinical Trials Phase II Market Revenues, 2010 – 2018 (USD Million)
4.1.2.1.2.6 Phase III 4.1.2.1.2.7 Global Computational Clinical Trials Phase III Market Revenues, 2010 – 2018 (USD Million) 4.1.2.1.3 Human Body Simulation Software 4.1.2.1.3.1 Global Computational Human Simulation Software Market Revenues, 2010 – 2018 (USD Million)
Chapter 5 Global Computational Biology Market, by Tools 5.1 Overview 5.2 Database 5.2.1 Global Computational Biology Database Market Revenues, 2010 – 2018 (USD Million) 5.3 IT Infrastructure (Hardware) 5.3.1 Global Computational Biology Hardware Market Revenues, 2010 – 2018 (USD Million) 5.4 Analysis Software & Services 5.4.1 Global Computational Biology Software Market Revenues, 2010 – 2018 (USD Million)
Chapter 6 Global Computational Biology Market, by Services 6.1 Overview 6.2 In-House Computational Biology 6.2.1 Global In-House Computational Biology Market Revenues, 2010 – 2018 (USD Million) 6.3 External/Contract Computational Biology 6.3.1 Global Contract Computational Biology Market Revenues, 2010 – 2018 (USD Million)
Chapter 7 Global Computational Biology Market, by Geography 7.1 Overview
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7.2 North America 7.2.1 North America Computational Biology Market Revenues, 2010 – 2018 (USD Million) 7.3 Europe 7.3.1 Europe Computational Biology Market Revenues, 2010 – 2018 (USD Million) 7.4 Asia 7.4.1 Asia Computational Biology Market Revenues, 2010 – 2018 (USD Million) 7.5 ROW 7.5.1 Row Computational Biology Market Revenues, 2010 – 2018 (USD Million)
Chapter 8 Market Share Analysis 8.1 Market Share by Key Players 8.1.1 Global Computational Biology Market Share Analysis of Key Players, 2011 (%)
Chapter 9 Recommendations 9.1 Success Strategies 9.1.1 Rigorous Research and Development (R&D) Initiatives 9.1.2 Investing in Emerging Economies 9.1.3 Investing in High-End Technologies 9.1.4 Collaborations, Mergers and Acquisitions 9.2 Barriers to be Considered 9.2.1 High Cost of Investment
Chapter 10 Company Profiles 10.1 Accelrys 10.1.1 Company Overview 10.1.2 Financial Overview 10.1.3 Product Portfolio And Services 10.1.4 Business Strategy 10.1.5 Recent Developments 10.2 Certara 10.2.1 Company Profile 10.2.2 Financial Overview 10.2.3 Product Portfolio And Services 10.2.4 Business Strategy 10.2.5 Recent Developments 10.3 Chemical Computing Group Inc. 10.3.1 Company Profile 10.3.2 Financial Overview 10.3.3 Product Portfolio 10.3.4 Business Strategy 10.3.5 Recent Developments 10.4 Compugen, Ltd 10.4.1 Company Profile 10.4.2 Financial Overview 10.4.3 Business Strategy 10.4.4 Recent Developments 10.5 Entelos 10.5.1 Company Profile 10.5.2 Financial Overview
10.5.3 Product Portfolio And Services 10.5.4 Business Strategy
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10.5.5 Recent Developments 10.6 Genedata AG 10.6.1 Company Profile 10.6.2 Financial Overview 10.6.3 Product Portfolio And Services 10.6.4 Business Strategy 10.6.5 Recent Developments 10.7 Insilico Biotechnology AG 10.7.1 Company Profile 10.7.2 Financial Overview 10.7.3 Product Portfolio 10.7.4 Business Strategy 10.7.5 Recent Developments 10.8 Leadscope, Inc 10.8.1 Company Profile 10.8.2 Financial Overview 10.8.3 Product Portfolio 10.8.4 Business Strategy 10.8.5 Recent Developments 10.9 Nimbus Discovery LLC 10.9.1 Company Profile
10.9.2 Financial Overview 10.9.3 Product Portfolio 10.9.4 Business Strategy 10.9.5 Recent Developments 10.10 Rhenovia Pharma SAS 10.10.1 Company Profile 10.10.2 Financial Overview 10.10.3 Product Portfolio And Services 10.10.4 Business Startegy 10.10.5 Recent Developments 10.11 Schrodinger 10.11.1 Company Overview 10.11.2 Financial Overview 10.11.3 Product Portfolio And Services 10.11.4 Business Strategy 10.11.5 Recent Developments 10.12 Simulation Plus, Inc. 10.12.1 Company Profile 10.12.2 Financial Overview 10.12.3 Product Portfolio And Services 10.12.4 Business Strategy 10.12.5 Recent Developments
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