The global Computational Biology Market is forecasted to be worth USD 16.58 Billion by 2027, according to a current analysis by Emergen Research. Computational biology is used to analyze biological data such as cell populations, genetic sequences, and protein samples and also discover new predictions.

The growing application of computational biology in proteomics, genomics, and epigenomics, & gene sequencing is driving the demand for the market.

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The report further analyzes the factors and initiatives contributing to the growth of the market. The study suggests that the leading companies are capitalizing on the opportunities emerging in the market and are expected to benefit from the options. The shift in consumer preferences and growing demand will contribute to the growth of the market.

Key market players included in the study are:

Chemical Computing Group, Compugen, Simulation Plus, Genedata, Certara, Insilico Biotechnology, Accelrys, Rhenovia Pharma, Entelos, Nimbus Discovery, among others.

In July 2020, the U.S. Department of Energy announced a funding of USD 5 million in computational biology for six new research projects. The purpose of the funding is to develop new analytical tools and software for managing an increase in the quantity of genomics and other data resulting from the study of microbes and other biological systems.

• Service-Type Outlook (Revenue, USD Billion; 2017-2027)

• In-House
• Contract

• Application Outlook (Revenue, USD Billion; 2017-2027)

• Cellular & Biology Simulation
• Computational Genomics

• Database
• Infrastructure / Hardware
• Software & Services

• Computational Proteomics
• Pharmacogenomics
• Others
• Drug discovery and disease modeling
• Target identification
• Target Validation
• Lead Discovery
• Lead Optimization
• Pre-clinical drug development
• Pharmacokinetics
• Pharmacodynamics
• Clinical trials
• Phase I
• Phase II
• Phase III
• Human Body Simulation Software

• End-Use Outlook (Revenue, USD Billion; 2017-2027)

• Academics
• Industry
• Commercial

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The commercial end-use segment dominated the computational biology market. Increased usage of the technology for personalized medicine and drug designing by pharmaceutical companies is propelling its demand. Several genetic disorders require specific customized treatment, which is creating a trend for personalized medicine.

The complete regional analysis covers:

• North America (U.S., Canada, Mexico)
• Europe (U.K., Italy, Germany, France, Rest of EU)
• Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
• Latin America (Chile, Brazil, Argentina, Rest of Latin America)
• Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)

Table of Content

Chapter 1. Methodology & Sources

1.1. Market Definition

1.2. Research Scope

1.3. Methodology

1.4. Research Sources

1.4.1. Primary

1.4.2. Secondary

1.4.3. Paid Sources

1.5. Market Estimation Technique

Chapter 2. Executive Summary

2.1. Summary Snapshot, 2019-2027

Chapter 3. Key Insights

Chapter 4. Computational Biology Market Segmentation & Impact Analysis

4.1. Computational Biology Market Material Segmentation Analysis

4.2. Industrial Outlook

4.2.1. Market indicators analysis

4.2.2. Market drivers analysis

4.2.2.1. Rising demand for customized medicine

4.2.2.2. Increased cost of drug discovery process

4.2.3. Market restraints analysis

4.2.3.1. Lack of skilled professionals to operate computational biology

4.2.3.2. Requirement of different algorithms for different sequences

4.3. Technological Insights

4.4. Regulatory Framework

4.5. Porter's Five Forces Analysis

4.6. Competitive Metric Space Analysis

4.7. Price trend Analysis

4.8. Covid-19 Impact Analysis

Chapter 5. Computational Biology Market By Service Type Insights & Trends Revenue (USD Million)

5.1. Service Type Dynamics & Market Share, 2019 & 2027

5.1.1. In-House

5.1.2. Contract

Chapter 6. Computational Biology Market By Application Insights & Trends Revenue (USD Million)

6.1. Application Dynamics & Market Share, 2019 & 2027

6.1.1. Cellular & Biology Simulation

6.1.1.1. Computational Genomics

6.1.1.1.1. Database

6.1.1.1.2. Infrastructure / Hardware

6.1.1.1.3. Software & Services

6.1.1.2. Computational Proteomics

6.1.1.3. Pharmacogenomics

6.1.1.4. Others

6.1.2. Drug discovery and disease modeling

6.1.2.1. Target identification

6.1.2.2. Target Validation

6.1.2.3. Lead Discovery

6.1.2.4. Lead Optimization

6.1.3. Pre-clinical drug development

6.1.3.1. Pharmacokinetics

6.1.3.2. Pharmacodynamics

6.1.4. Clinical trials

6.1.4.1. Phase I

6.1.4.2. Phase II

6.1.4.3. Phase III

6.1.5. Human Body Simulation Software

Continue…!

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Contact Information:

Contact Us:

Eric Lee

Corporate Sales Specialist

Emergen Research | Web: www.emergenresearch.com

Direct Line: +1 (604) 757-9756

E-mail: sales@emergenresearch.com

Facebook | LinkdIn | Twitter | Blogs