The global Computational Biology Market is forecasted to be worth USD 16.58 Billion by 2027, according to a current analysis by Emergen Research. The report gathers viable information on the most established industry players, sales and distribution channels, regional spectrum, estimated market share and size, and revenue estimations over the forecast timeframe. The report emphasizes the demands and ongoing trends of the global Computational Biology market, more importantly, across the major regions of the market. Additionally, our analysts have included SWOT analysis and Porter's Five Forces analysis in the report to offer a better understanding of the competitive spectrum of this ever-evolving industry.
The comprehensive study performs an in-depth analysis of the Computational Biology industry and lays immense emphasis on the major driving forces and restraints expected to govern the overall business for the forecast period, 2020 - 2027. Most importantly, researchers assessing the business environment take a closer look at the past and present trends as well as the future prospect to offer business owners, stakeholders and field marketing executives an intellectual understanding of the winning strategies.
The advent of innovative technologies such as sequencing, and high-throughput experimental methods like yeast two-hybrid, microarray, and chip-chip assays are generating a demand for mathematical modeling, analytical methods, and simulations for effective and hassle-free analysis of the data. Advancement in technology has opened up many options for innovation in the healthcare sector. Computational biology is used to analyze biological data such as cell populations, genetic sequences, and protein samples and also discover new predictions. Increased government funding, investments in research and development, and a rise in demand for predictive modeling for usage in various sequencing projects are driving the demand for the computational biology market.
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Several companies are doing clinical studies in pharmacogenomics, and an increase in the number of clinical trials will propel the demand for the market in the coming years. An upsurge in the design and development of personalized medicine and disease modeling will also impact the demand. Computational biology also reduces the risk of human involvement in the clinical testing process, which further boosts the demand for the market's product.
Key Highlights From The Report
- The In-House service-type segment is anticipated to grow with the fastest CAGR of 22.8% during the forecast period. Several Biopharma companies are undertaking clinical trials in their own buildings to avoid extra cost and also to prevent the risk of leakage of their pipeline projects. Moreover, as technology is becoming affordable, more companies are opting for in-house service.
- 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.
The latest report offers a profound analysis of the present market scenario, its key product types, end-user landscape, application outlook, leading regions, competitive terrain, and the leading companies' detailed profiles. The study performs a historical assessment of the Computational Biology from 2017 to 2018, focusing on the market trends, revenue share, growth rate, production capacity, pricing structure, and other vital aspects during that period. The report sheds light on the mergers and acquisitions, collaborations, joint ventures, brand promotions and product launches, agreements and partnerships, and corporate and government deals.
The global Computational Biology market consists of various segments, including product type outlook, application spectrum, end-user overview, leading regions, and the competitive analysis. The report further provides information regarding the value chain, emerging market sectors, and the technological advancements in the industry to benefit readers and businesses looking to invest in this industry.
Key Market Competitors Profiled in the Report:
Chemical Computing Group, Compugen, Simulation Plus, Genedata, Certara, Insilico Biotechnology, Accelrys, Rhenovia Pharma, Entelos, Nimbus Discovery, among others.
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The global Computational Biology market report evaluates the latest economic scenario in terms of value and volume. It highlights the key growth drivers, restraints, production capacity, demand & supply ratio, import/export status, growth rate, and other critical aspects. Additionally, the report also performs SWOT analysis, Porter's Five Forces analysis, speculation attainability investigation, and venture return investigation.
Global Computational Biology Market Geographical Landscape - Synopsis:
- The report closely studies the growth trajectory of the global Computational Biology market. It brings to light the global dominance of the leading regional segments, including North America, Asia Pacific, Europe, Latin America, and the Middle East & Africa.
- The study elaborates on the crucial information pertaining to the regional market share. It simultaneously focuses on the significant details about the growth patterns of each regional market.
- Moreover, the report encases an exhaustive geographical study of the market, emphasizing the business growth prospects and market barriers for each of the key market regions.
For the purpose of this report, Emergen Research has segmented into the global Computational Biology Market on the basis of service-type, application, end-use, and region:
- Service-Type Outlook (Revenue, USD Billion; 2017-2027)
- Application Outlook (Revenue, USD Billion; 2017-2027)
- Cellular & Biology Simulation
- Infrastructure / Hardware
- Software & Services
- Drug discovery and disease modeling
- Pre-clinical drug development
- Clinical trials
- Human Body Simulation Software
- End-Use Outlook (Revenue, USD Billion; 2017-2027)
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Table of Content
Table of ContentChapter 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 TechniqueChapter 2. Executive Summary 2.1. Summary Snapshot, 2019-2027Chapter 3. Key InsightsChapter 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 126.96.36.199. Rising demand for customized medicine 188.8.131.52. Increased cost of drug discovery process 4.2.3. Market restraints analysis 184.108.40.206. Lack of skilled professionals to operate computational biology 220.127.116.11. 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
Key Objectives of the Report:
- Analysis and estimation of the Computational Biology market size and share for the projected period of 2020-2027
- Extensive analysis of the key players of the market by SWOT analysis and Porter's Five Forces analysis to impart a clear understanding of the competitive landscape
- Study of current and emerging trends, restraints, drivers, opportunities, challenges, growth prospects, and risks of the global Computational Biology market
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