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Global Computational Biology Market (2023-2028) Competitive Analysis, Impact of Covid-19, Ansoff Analysis

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  • 172 Pages
  • February 2024
  • Infogence Global Research
  • ID: 5684648

Demand for Bioinformatics Tools and Skills Has Increased as Genome Sequencing Programs Have Resulted in the Exponential Growth of Sequence Databases

The Global Computational Biology Market is estimated to be USD 5.15 Bn in 2023 and is expected to reach USD 11.17 Bn by 2028 growing at a CAGR of 16.75%.

Market Dynamics

Market dynamics are forces that impact the prices and behaviors of the Global Computational Biology Market stakeholders. These forces create pricing signals which result from the changes in the supply and demand curves for a given product or service. Forces of Market Dynamics may be related to macro-economic and micro-economic factors. There are dynamic market forces other than price, demand, and supply. Human emotions can also drive decisions, influence the market, and create price signals.

As the market dynamics impact the supply and demand curves, decision-makers aim to determine the best way to use various financial tools to stem various strategies for speeding the growth and reducing the risks.

Market Segmentations

  • The Global Computational Biology Market is segmented based on Services, Application, End User, and Geography.
  • By Services, the market is classified into Contract and In-house.
  • By Application, the market is classified into Cellular Biological Simulation, Clinical Trials, Drug Discovery & Disease Modelling, Human Body Simulation Software, and Preclinical Drug Development.
  • By End User, the market is classified into Academics, and Commercial.
  • By Geography, the market is classified into Americas, Europe, Middle-East & Africa, and Asia-Pacific.

Company Profiles

The report provides a detailed analysis of the competitors in the market. It covers the financial performance analysis for the publicly listed companies in the market. The report also offers detailed information on the companies' recent development and competitive scenario. Some of the companies covered in this report are Agilent Technologies, Inc., Applied Biological Materials, Inc., BGI Group, Biomax Informatics Ag, Chemical Computing Group, Inc., Compugen Ltd., Dassault Systemes SE, DNAnexus, Inc., DNASTAR, Eurofins Scientific SE, Genedata Ag, Genomatix GmbH , GNS Healthcare , Illumina, Inc., Insilico Biotechnology Ag, Luminex Corp., Nimbus Discovery LLC, Partek, Inc., PerkinElmer, Inc., QIAGEN, Rosa & Co. LLC, Simulation Plus, Inc., SOPHiA GENETICS, Thermo Fisher Scientific, Waters Corp., etc.

Countries Studied

  • America (Argentina, Brazil, Canada, Chile, Colombia, Mexico, Peru, United States, Rest of Americas)
  • Europe (Austria, Belgium, Denmark, Finland, France, Germany, Italy, Netherlands, Norway, Poland, Russia, Spain, Sweden, Switzerland, United Kingdom, Rest of Europe)
  • Middle-East and Africa (Egypt, Israel, Qatar, Saudi Arabia, South Africa, United Arab Emirates, Rest of MEA)
  • Asia-Pacific (Australia, Bangladesh, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Sri Lanka, Thailand, Taiwan, Rest of Asia-Pacific)

Competitive Quadrant

The report includes Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments, growth in market share, etc.

Ansoff Analysis

  • The report presents a detailed Ansoff matrix analysis for the Global Computational Biology Market. Ansoff Matrix, also known as Product/Market Expansion Grid, is a strategic tool used to design strategies for the growth of the company. The matrix can be used to evaluate approaches in four strategies viz. Market Development, Market Penetration, Product Development and Diversification. The matrix is also used for risk analysis to understand the risk involved with each approach.
  • The publisher analyses the Global Computational Biology Market using the Ansoff Matrix to provide the best approaches a company can take to improve its market position.
  • Based on the SWOT analysis conducted on the industry and industry players, the publisher has devised suitable strategies for market growth.

Why buy this report?

  • The report offers a comprehensive evaluation of the Global Computational Biology Market. The report includes in-depth qualitative analysis, verifiable data from authentic sources, and projections about market size. The projections are calculated using proven research methodologies.
  • The report has been compiled through extensive primary and secondary research. The primary research is done through interviews, surveys, and observation of renowned personnel in the industry.
  • The report includes an in-depth market analysis using Porter's 5 forces model and the Ansoff Matrix. In addition, the impact of Covid-19 on the market is also featured in the report.
  • The report also includes the regulatory scenario in the industry, which will help you make a well-informed decision. The report discusses major regulatory bodies and major rules and regulations imposed on this sector across various geographies.
  • The report also contains the competitive analysis using Positioning Quadrants, the Proprietary competitive positioning tool.

Report Highlights:

  • A complete analysis of the market, including parent industry
  • Important market dynamics and trends
  • Market segmentation
  • Historical, current, and projected size of the market based on value and volume
  • Market shares and strategies of key players
  • Recommendations to companies for strengthening their foothold in the market

Table of Contents

1 Report Description
1.1 Study Objectives
1.2 Market Definition
1.3 Currency
1.4 Years Considered
1.5 Language
1.6 Key Stakeholders
2 Research Methodology
2.1 Research Process
2.2 Data Collection and Validation
2.2.1 Secondary Research
2.2.2 Primary Research
2.2.3 Models
2.3 Market Size Estimation
2.3.1 Bottom-Up Approach
2.3.2 Top-Down Approach
2.4 Assumptions of the Study
2.5 Limitations of the Study
3 Executive Summary
3.1 Introduction
3.2 Market Size, Segmentations and Outlook
4 Market Dynamics
4.1 Drivers
4.1.1 Increased Unmet Medical Needs and Rising Demand for Personalized Medicine
4.1.2 Adoption of Computational Biology in Oncology Therapeutics
4.1.3 Expanding use of Computational Tools in Genomics, Epi-genomics, Proteomics, and Meta-genomics
4.2 Restraints
4.2.1 Insufficiency of Interoperability and Multiplatform Capabilities
4.3 Opportunities
4.3.1 Increased Funding in Bioinformatics coupled with Advancements in the Field of Computational Biology
4.4 Challenges
4.4.1 Lack of Well-Defined Standards and Common Data Formats for the Integration of Data
4.4.2 Dearth of Skilled Professionals to operate Computational Tools
5 Market Analysis
5.1 Regulatory Scenario
5.2 Porter's Five Forces Analysis
5.3 Impact of COVID-19
5.4 Ansoff Matrix Analysis
6 Global Computational Biology Market, By Services
6.1 Introduction
6.2 Contract
6.3 In-house
7 Global Computational Biology Market, By Application
7.1 Introduction
7.2 Cellular Biological Simulation
7.3 Clinical Trials
7.4 Drug Discovery & Disease Modelling
7.5 Human Body Simulation Software
7.6 Preclinical Drug Development
8 Global Computational Biology Market, By End User
8.1 Introduction
8.2 Academics
8.3 Commercial
9 Americas’ Computational Biology Market
9.1 Introduction
9.2 Argentina
9.3 Brazil
9.4 Canada
9.5 Chile
9.6 Colombia
9.7 Mexico
9.8 Peru
9.9 United States
9.10 Rest of Americas
10 Europe’sComputational Biology Market
10.1 Introduction
10.2 Austria
10.3 Belgium
10.4 Denmark
10.5 Finland
10.6 France
10.7 Germany
10.8 Italy
10.9 Netherlands
10.10 Norway
10.11 Poland
10.12 Russia
10.13 Spain
10.14 Sweden
10.15 Switzerland
10.16 United Kingdom
10.17 Rest of Europe
11 Middle East and Africa’s Computational Biology Market
11.1 Introduction
11.2 Egypt
11.3 Israel
11.4 Qatar
11.5 Saudi Arabia
11.6 South Africa
11.7 United Arab Emirates
11.8 Rest of MEA
12 APAC's Global Computational Biology Market
12.1 Introduction
12.2 Australia
12.3 Bangladesh
12.4 China
12.5 India
12.6 Indonesia
12.7 Japan
12.8 Malaysia
12.9 Philippines
12.10 Singapore
12.11 South Korea
12.12 Sri Lanka
12.13 Thailand
12.14 Taiwan
12.15 Rest of Asia-Pacific
13 Competitive Landscape
13.1 Competitive Quadrant
13.2 Market Share Analysis
13.3 Strategic Initiatives
13.3.1 M&A and Investments
13.3.2 Partnerships and Collaborations
13.3.3 Product Developments and Improvements
14 Company Profiles
14.1 Agilent Technologies, Inc.
14.2 Applied Biological Materials, Inc.
14.3 BGI Group
14.4 Biomax Informatics Ag
14.5 Chemical Computing Group, Inc.
14.6 Compugen Ltd.
14.7 Dassault Systemes SE
14.8 DNAnexus, Inc.
14.10 Eurofins Scientific SE
14.11 Genedata Ag
14.12 Genomatix GmbH
14.13 GNS Healthcare
14.14 Illumina, Inc.
14.15 Insilico Biotechnology Ag
14.16 Luminex Corp.
14.17 Nimbus Discovery LLC
14.18 Partek, Inc.
14.19 PerkinElmer, Inc.
14.20 QIAGEN
14.21 Rosa & Co. LLC
14.22 Simulation Plus, Inc.
14.24 Thermo Fisher Scientific
14.25 Waters Corp.
15 Appendix
15.1 Questionnaire

Companies Mentioned

  • Agilent Technologies, Inc.
  • Applied Biological Materials, Inc.
  • BGI Group
  • Biomax Informatics Ag
  • Chemical Computing Group, Inc.
  • Compugen Ltd.
  • Dassault Systemes SE
  • DNAnexus, Inc.
  • Eurofins Scientific SE
  • Genedata Ag
  • Genomatix GmbH
  • GNS Healthcare
  • Illumina, Inc.
  • Insilico Biotechnology Ag
  • Luminex Corp.
  • Nimbus Discovery LLC
  • Partek, Inc.
  • PerkinElmer, Inc.
  • Rosa & Co. LLC
  • Simulation Plus, Inc.
  • Thermo Fisher Scientific
  • Waters Corp.