Market Overview:
The global computational biology market is expected to grow at a CAGR of 10.8% from 2018 to 2030. The growth of the market can be attributed to the increasing demand for computational biology services from pharmaceutical and biotechnology companies, rising prevalence of chronic diseases, and growing investments in life sciences research. Based on type, the global computational biology market is segmented into in-house and contract services. The in-house segment is further divided into software providers and service providers. The contract services segment is further divided into bioinformatics services, wet lab services, data management & analysis services, cheminformatics & structure elucidation services, pharmacogenomics sequencing & analysisservices ,and other contractservices .The bioinformatics servicesegmentis expected to grow at a CAGR of 11% during the forecast period owingto its abilitytosolve complexbiological problemsand provide comprehensive solutions for drug discovery and development processes.
Product Definition:
Computational biology is a term that encompasses the application of computer science and information technology to the study of biological problems. It includes the development and application of software tools for modeling, simulation, analysis, interpretation, and prediction in molecular biology, genetics, biochemistry and other life sciences.
In-House:
In-house is a method used to generate and analyze data for the purpose of research. It's an important part of computational biology as it helps in gaining insights into biological processes. In-house also reduces the cost associated with purchasing expensive software, hardware and servers which further boosts its growth factor in this market.
Computational biology is a field that uses computers to simulate or model biological systems so that scientists can understand them better.
Contract:
Contract is a software system that helps in managing and running experiments, tasks, and projects of computational biology. It provides automation for repetitive tasks involved in data analysis & processing as well as project management. The Contract system has been developed by the developers working collectively to address challenges faced by researchers performing work on large scale computing projects associated with molecular biology, genomics, proteomics etc.
Application Insights:
The cellular and biological simulation segment dominated the global computational biology market in terms of revenue share in 2017. The growth is attributed to rising demand for personalized medicine, which requires a high level of precision during drug development. Computational cell modeling helps decipher the biological functions of cells by simulating their molecular interactions. It also provides insights into physiological processes such as gene expression, protein localization, and cell motility through dynamic simulation models based on realistic 3D cellular architecture.
Pharmacogenomics is anticipated to grow at a lucrative rate over the forecast period due to its wide applications across various therapeutic areas including cancer & genetic disease diagnostics & drug discovery & nutraceuticals research along with its growing adoption in clinical trials worldwide.
Regional Analysis:
North America dominated the global market in 2017. This can be attributed to the presence of a large number of players, funding programs for genomic studies, and an increase in government initiatives for developing novel therapeutics. The region is expected to maintain its dominance throughout the forecast period owing to continuous efforts by companies operating within it as well as those from other regions to gain a competitive edge.
Asia Pacific is anticipated to grow at a lucrative rate over the forecast period owing to increasing investments by governments and private entities coupled with rising awareness among people regarding their genetic makeup and associated diseases.
Growth Factors:
- Increasing demand for personalized medicines
- Rising prevalence of chronic diseases
- Growing number of public and private research institutes
- Proliferation of big data analytics in healthcare industry
- Advancements in genomic sequencing technologies
Scope Of The Report
Report Attributes
Report Details
Report Title
Computational Biology Market Research Report
By Type
In-House, Contract
By Application
Cellular & Biological Simulation, Pharmacogenomics, Drug Discovery, Drug Development, Lead Optimization, Lead Discovery, Pharmacokinetics, Disease Modeling, Clinical Trials
By Companies
Chemical Computing, Accelrys, Certara, Compugen, Entelos, Insilico Biotechnology, Genedata, Leadscope, Simulation Plus, Schrodinger, Rhenovia Pharma, Nimbus Discovery
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
220
Number of Tables & Figures
154
Customization Available
Yes, the report can be customized as per your need.
Global Computational Biology Market Report Segments:
The global Computational Biology market is segmented on the basis of:
Types
In-House, Contract
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Cellular & Biological Simulation, Pharmacogenomics, Drug Discovery, Drug Development, Lead Optimization, Lead Discovery, Pharmacokinetics, Disease Modeling, Clinical Trials
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Chemical Computing
- Accelrys
- Certara
- Compugen
- Entelos
- Insilico Biotechnology
- Genedata
- Leadscope
- Simulation Plus
- Schrodinger
- Rhenovia Pharma
- Nimbus Discovery
Highlights of The Computational Biology Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- In-House
- Contract
- By Application:
- Cellular & Biological Simulation
- Pharmacogenomics
- Drug Discovery
- Drug Development
- Lead Optimization
- Lead Discovery
- Pharmacokinetics
- Disease Modeling
- Clinical Trials
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Computational Biology Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
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- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Computational biology is the application of computer science and engineering principles to problems in biology. It encompasses a wide range of research activities, from understanding how proteins interact with each other to modeling the behavior of entire populations of organisms.
Some of the key players operating in the computational biology market are Chemical Computing, Accelrys, Certara, Compugen, Entelos, Insilico Biotechnology, Genedata, Leadscope, Simulation Plus, Schrodinger, Rhenovia Pharma, Nimbus Discovery.
The computational biology market is expected to grow at a compound annual growth rate of 10.8%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Computational Biology Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Computational Biology Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Computational Biology Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Computational Biology Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Computational Biology Market Size & Forecast, 2020-2028
4.5.1 Computational Biology Market Size and Y-o-Y Growth
4.5.2 Computational Biology Market Absolute $ Opportunity
Chapter 5 Global Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Market Size Forecast by Type
5.2.1 In-House
5.2.2 Contract
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Market Size Forecast by Applications
6.2.1 Cellular & Biological Simulation
6.2.2 Pharmacogenomics
6.2.3 Drug Discovery
6.2.4 Drug Development
6.2.5 Lead Optimization
6.2.6 Lead Discovery
6.2.7 Pharmacokinetics
6.2.8 Disease Modeling
6.2.9 Clinical Trials
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Computational Biology Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Computational Biology Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Analysis and Forecast
9.1 Introduction
9.2 North America Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Market Size Forecast by Type
9.6.1 In-House
9.6.2 Contract
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Market Size Forecast by Applications
9.10.1 Cellular & Biological Simulation
9.10.2 Pharmacogenomics
9.10.3 Drug Discovery
9.10.4 Drug Development
9.10.5 Lead Optimization
9.10.6 Lead Discovery
9.10.7 Pharmacokinetics
9.10.8 Disease Modeling
9.10.9 Clinical Trials
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Analysis and Forecast
10.1 Introduction
10.2 Europe Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Market Size Forecast by Type
10.6.1 In-House
10.6.2 Contract
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Market Size Forecast by Applications
10.10.1 Cellular & Biological Simulation
10.10.2 Pharmacogenomics
10.10.3 Drug Discovery
10.10.4 Drug Development
10.10.5 Lead Optimization
10.10.6 Lead Discovery
10.10.7 Pharmacokinetics
10.10.8 Disease Modeling
10.10.9 Clinical Trials
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Market Size Forecast by Type
11.6.1 In-House
11.6.2 Contract
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Market Size Forecast by Applications
11.10.1 Cellular & Biological Simulation
11.10.2 Pharmacogenomics
11.10.3 Drug Discovery
11.10.4 Drug Development
11.10.5 Lead Optimization
11.10.6 Lead Discovery
11.10.7 Pharmacokinetics
11.10.8 Disease Modeling
11.10.9 Clinical Trials
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Analysis and Forecast
12.1 Introduction
12.2 Latin America Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Market Size Forecast by Type
12.6.1 In-House
12.6.2 Contract
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Market Size Forecast by Applications
12.10.1 Cellular & Biological Simulation
12.10.2 Pharmacogenomics
12.10.3 Drug Discovery
12.10.4 Drug Development
12.10.5 Lead Optimization
12.10.6 Lead Discovery
12.10.7 Pharmacokinetics
12.10.8 Disease Modeling
12.10.9 Clinical Trials
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Market Size Forecast by Type
13.6.1 In-House
13.6.2 Contract
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Market Size Forecast by Applications
13.10.1 Cellular & Biological Simulation
13.10.2 Pharmacogenomics
13.10.3 Drug Discovery
13.10.4 Drug Development
13.10.5 Lead Optimization
13.10.6 Lead Discovery
13.10.7 Pharmacokinetics
13.10.8 Disease Modeling
13.10.9 Clinical Trials
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Computational Biology Market: Competitive Dashboard
14.2 Global Computational Biology Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Chemical Computing
14.3.2 Accelrys
14.3.3 Certara
14.3.4 Compugen
14.3.5 Entelos
14.3.6 Insilico Biotechnology
14.3.7 Genedata
14.3.8 Leadscope
14.3.9 Simulation Plus
14.3.10 Schrodinger
14.3.11 Rhenovia Pharma
14.3.12 Nimbus Discovery
