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Computational Biology Market By Application (Cellular And Biological Simulation, Disease Modelling And Drug Discovery, Preclinical Drug Development, Clinical Trials, Human Body Simulation), By Component (Hardware, Software & Services, Databases), By Service Type (In-house, Contract Services), By End User (Industrial Applications, Research And Academia) - Growth, Future Prospects & Competitive Analysis, 2018 – 2026

Computational biology is an interdisciplinary science that has been persistently advancing through the previous decades by using the power of mathematics and computation. The primary goal of computational biology is to use large-scale computational methods in cellular, structural, and molecular biology to answer emerging biological questions that were previously intractable using traditional approaches. The foundation of computational biology lies in computer science, statistics, chemistry, biochemistry, mathematics, genomics, genetics, molecular biology, neuroscience, animation, anatomy, visualization, etc. Researchers have come up with a wide range of computational methods to study areas such as structure prediction, cell signaling, metabolic networks, protein design, and gene regulation.

Therefore, computational biology involves the use of biological data for the construction of relations and algorithms in biological systems for the analysis of biological similarities and differences. Computational biology is primarily applied in cancer research, genomics and proteomics, pharmacology, neuroscience, genomics, and modeling. The field of computational modeling comprises computer-aided biological models that aim to design algorithms for accurate visualization of simulations for examining biological complexities. Similarly, computational neuroscience applies computational biology to understanding neurological pathways and brain models. Computational biology is also used in pharmacology in the form of visual simulations for understanding drug interactions.

The increase in bioinformatics research is the prime factor driving the growth of the computational biology market. Its widening application in genomics, drug development programs, drug designing, and other lucrative areas is anticipated to reduce the lead time to drug commercialization and, therefore, reduce the average cost as against conventional methods. Such grounds are therefore anticipated to drive stable growth of the computational biology market during the forecast period from 2018 to 2026.

Market Synopsis

Disease Modeling and Drug Discovery: Leading the Applications Worldwide

Based on the application areas, the global computational biology market is segmented into cellular and biological simulation, disease modeling and drug discovery, preclinical drug development, clinical trials, and human body simulation. As the lead time and average costs for commercializing any drug have been continuously increasing to reach the billion mark in the last few decades, there is a dire need for devising new methods to speed up the process while containing the costs. Along with this, the large-scale failure of clinical trials in the early phases of development has also led to the dominance of disease modeling and drug discovery applications in 2017. This segment's lead is expected to last throughout the forecast period.

Future Market Size Will Be Determined by Software and Databases

Hardware, software, and services, as well as databases, are the tools that together make practical computational biology. Computational biology is mainly composed of algorithms and logic created through biological data computation and databases comprising genomic data; hardware processor units for computation also form an integral part of this field.

As the major applications of computational biology proliferate in other life-science industries, the demand for these tools will correspondingly proliferate. Software, services, and databases are the key segments that occupy the largest revenue share in the global computational biology market. The constant need for periodic updating of software and databases and the significantly high costs of these items contribute to the dominance of these segments.

current restrictions on in-house affordability to facilitate the demand for contract services

Based on service type, the computational biology market is segmented into in-house and contract services. Outsourcing to service institutions is the key trend observed in this market. Computational biology requires high-processing and sophisticated computing technologies, which cannot be a core competency of every pharmaceutical or life-sciences company. Furthermore, outside of major pharma giants, the affordability of these technologies may be an issue. Therefore, for several pharmaceutical and life-science players, outsourcing computational biology activities remains the only plausible resort.

The United States leads the global computational biology market due to greater awareness and a supportive business environment.

The major regions that contribute to the global computational biology market are North America, Europe, Asia Pacific, Latin America, the Middle East, and Africa. Among these, North America is the clear leader in the global market in terms of revenue; higher quantities of investments in life-science research and development of drugs and diagnostics; and phenomenal technological advancements in biotechnology are the key contributors to the dominance of the North American market. Europe closely follows the lead of North America. The rapid adoption of novel biotechnologies, greater awareness, availability of required skill sets, and favorable affordability are the characteristic features of the European market.

Asia-Pacific is the fastest-growing regional market for computational biology. The region's expanding contract research services industry, aided by favorable government policies and a growing pool of skilled labor, has prompted several companies to outsource their computational requirements to Asia Pacific service providers.

Periods of History and Forecast

This research report presents the analysis of each considered segment for the period from 2016 to 2026, using 2017 as the base year for estimations. Compounded annual growth rates (CAGRs) for each segment are calculated for the forecast period from 2018 to 2026.

Report Scope by Segments

The report also presents insights into the competitive landscape prevalent in the global computational biology market, along with a profile of key companies operating in the industry. Such major market players profiled in this report include Rhenovia Pharma SAS, Chemical Computing Group Inc., Compugen, Ltd., Accelrys, Insilico Biotechnology AG, Nimbus Discovery LLC, Entelos, Simulation Plus, Inc., Genedata AG, Leadscope, Inc., and Certara.

Key questions are answered in this report.

  • What is the size of the global market for computational biology in 2017, and how will it fare through 2026?
  • What is the status of the disease modeling and drug discovery segment, and what reasons lead to its dominance?
  • How are software, services, and databases segmented? Which are the largest segments in the global market?
  • How are contract research organizations challenging the position of in-house services?
  • Will Asia-Pacific majorly challenge the dominance of the North American market?
  • At what CAGR will emerging markets in Asia Pacific, Latin America, and the Middle East and Africa grow during the forecast period from 2016 to 2026?
  • Which strategies are being employed by the market players for maintaining and augmenting market share?

Frequently Asked Question:

The market for Computational Biology Market is expected to reach USD$ XX Bn in 2026.

The Computational Biology Market is expected to see significant CAGR growth over the coming years, at XX%.

The report is forecasted from 2018 -2026.

The base year of this report is 2017.

Rhenovia Pharma SAS, Chemical Computing Group Inc., Compugen, Ltd., Accelrys, Insilico Biotechnology AG, Nimbus Discovery LLC, Entelos, Simulation Plus, Inc. are some of the major players in the global market.

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Published Date:  Oct 2018
Category:  Biotechnology
Report ID:   59364
Report Format:   PDF
Pages:   120
Rating:    4.1 (66)
Delivery Time: 24 Hours to 48 Hours   
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