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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

Industry Outlook

Computational biology is an interdisciplinary science that is being persistently advancing through the previous decades by using the power of mathematics and computation. The primary aim of computational biology is to employ large-scale computational methods to the fields of cellular, structural and molecular biology for answering emerging biological questions which were earlier not possible to be tackled with traditional approaches. The foundation of computational biology lies in computer science, statistics, chemistry, biochemistry, mathematics, genomics, genetics, molecular biology, neuroscience, animation, anatomy, visualization etc. thousands have 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 use of biological data for construction of relations and algorithms in biological systems for analysis of biological similarities and differences. Computational biology is majorly applied in cancer research, genomics and proteomics, pharmacology, neuroscience, genomics and biomodeling. The field of computational biomodeling 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 for understanding neurological pathways and brain models. Computational biology is also used in pharmacology in the form of visual simulations for understanding drug interactions. Increase in bioinformatics research is the prime factor driving the growth of 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 therefore reduce the average cost as against conventional methods. Such grounds are therefore anticipated to drive stable growth of computational biology market during the forecast period from 2018 to 2026.

Market Synopsis

Computational Biology Market

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"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 modelling and drug discovery, preclinical drug development, clinical trials and human body simulation. As the lead time and average costs for commercializing any drug to the market has been continuously increasing to reach the billion mark in the last decades, there is a dire need for devising new methods to speed up the process while containing the costs. Along with this, high scale of failure of clinical trials in early phases of development has also led to the dominance of disease modeling and drug discovery application in 2017. The lead of this segment is anticipated to continue through the forecast period.

Computational Biology Market

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"Software and Databases to Determine the Market Size in the Future"

Hardware, software and services, and databases are the tools that together make practical computational biology. Computational biology is mainly formed of algorithms and logics 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. constant need for periodic updating software and databases and significantly large costs of these items contribute to the dominance of these segments.

Computational Biology Market

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"Current Restrictions on In-house Affordability to Facilitate the Demand for Contract Services"

Based on service type, 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 process and sophisticated computing technologies, which cannot be a core competency of every pharmaceutical or life-sciences company. Furthermore, affordability to these technologies may also be an issue, barring major pharma giants. Therefore, for several pharmaceutical and life-science players, outsourcing of computational biology activities remain the only plausible resort.

Computational Biology Market

"United States Leads the Global Computational Biology Market due to Greater Awareness and Supportive Business Environment"

The major regions that cumulate to the global computational biology market are North America, Europe, Asia Pacific, Latin America and Middle East & 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 North America market. Europe closely follows the lead of North America. Rapid adoption of novel biotechnologies, greater awareness and availability of required skill sets and favorable affordability are the characteristic features of Europe market. Asia Pacific is the fastest progression regional market for computational biology. Proliferating contract research services industry in the region, facilitated by favorable government policies, and growing pool of skilled workforce has urged several companies to outsource their computational requirements to service providers in Asia Pacific.

Computational Biology Market

Computational Biology Market

Historical & Forecast Period

This research report presents the analysis of each considered segment for the period from 2016 to 2026, having 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

Research Period  2016-2026
Base Year 2017
Forecast Period  2018-2026
Historical Year  2016
Unit  USD Million

 By Application (2016–2026; US$ Mn)
 • Cellular and Biological Simulation
 • Computational Genomics
 • Computational Proteomics
 • Pharmacogenomics
 • Transcriptomics/Metabolomics
 • Disease Modelling and Drug Discovery
 • Target Identification
 • Target Validation
 • Lead Discovery
 • Lead Optimization
 • Preclinical Drug Development
 • Pharmacokinetics
 • Pharmacodynamics
 • Clinical Trials
 • Human Body Simulation

 By Components (2016–2026; US$ Mn)
 • Hardware
 • Software & Services
 • Databases

 By Service Type (2016–2026; US$ Mn)
 • In-house
 • Contract Services

 By End User (2016–2026; US$ Mn)
 • Industrial Applications
 • Research and Academia

 Geography Segment (2016–2026; US$ Mn)
 • North America (United States and Canada)
 • Europe (U.K., Germany, Rest of Europe)
 • Asia Pacific (China, Japan, Rest of Asia Pacific)
 • Latin America (Brazil, Mexico, Rest of Latin America)
 • Middle East and Africa (GCC, Rest of MEA)

The report also presents insights on the competitive landscape prevalent in the global computational biology market along with profiling 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 answered in this report

  • What is the market size of the global computational biology market in 2017 and how will the market fare through 2026?
  • What is the status of disease modelling and drug discovery segment and what reasons lead to the dominance of this segment?
  • How software and services, and databases segment are the largest segments in the global market?
  • How contract research organizations are challenging the position of in-house services?
  • Will Asia Pacific majorly challenge the dominance of North America market?
  • At what CAGR will emerging markets of Asia Pacific, Latin America and Middle East & Africa markets growth during the forecast period from 2016 to 2026?
  • Which strategies are being employed by the market players for sustenance and augmenting market share?
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Published Date:  Oct 2018
Category:  Biotechnology
Report ID:   59364
Report Format:   PDF
Pages:   120
Rating:    4.1 (66)
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