Wide application of computational biology in genomics, epigenomics, proteomics, and meta-genomics to understand 3D protein structural analysis, protein-protein interactions, and gene sequencing and expression along with increasing R&D in drug designing and disease modeling are key factors contributing to high CAGR of Computational Biology during the forecast period.
Market Size – USD 28.68 billion in 2018, Market Growth - CAGR of
21.7%, Market Trends –technological advancements, research and development of
advanced computational tools
According to the
current analysis of Reports and Data, the global Computational Biology market was valued at USD 2.86 billion in 2018 and is expected to
reach USD 13.77 billion by the year 2026, at a CAGR of 21.7%. Science is
massively benefitted from data processing, such as computational biology.
Computational biology is an interdisciplinary field of biology that applies
computational methods for analyzing biological data, such as genetic sequences,
cell populations, and protein samples, to discover new predictions. The
computational techniques used in computational biology include analytical
methods, mathematical modeling, and simulation. Moreover, new technologies such
as sequencing, and high-throughput experimental methods like microarray, yeast
two-hybrid, and chip-chip assays are creating enormous and increasing amounts
of data that can be analyzed and processed effectively and hassle-free using
computational techniques.
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The drive-in technological advancements have now opened
the door to a world of innovation in the field of healthcare. Computational
genetics is disciplinary of computational biology where homology and internal
biological mechanism are studied using genome sequencing. The Human Genome
Project is a classic example where the whole human genome was sequenced
successfully. Computational biology also finds application in neurology, in
which it is used to map complex interlinked pathways to visualize 3D simulation
models of the brain. The medical advantage of computational biology is
anticipated to boost the market during the forecast period. Additionally,
computational pharmacology also uses tools of computational biology to
visualize and simulate advanced drug-drug interactions in the drug designing
process.
Government funding, increasing research and developments,
increase in demand for predictive modeling and application in various
sequencing projects, such as the human genome project, are some of the factors
that support the market growth during forecast years. The rising demand for
predictive models is, therefore, expected to boost the growth of the global
computational biology market significantly. Moreover, the increasing funding
from governments as well as private organizations for R&D in this field
supports market growth. The widening application of computational tools in
genomics, drug development programs & drug designing, and other such areas
is expected to reduce the lead time of drug commercialization, therefore,
reduce the average cost. However, unfavorable government scenario, the high
initial cost and maintenance costs of the instruments, lack of standardization
and shortage of skilled workforce is likely to be a significant hindrance to
market growth.
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Further key findings from the report suggest
·
Computational Biology market is growing at a CAGR of 2% in
Asia-Pacific due to owing to increased spending on research works in
pharmacogenomics and pharmacokinetics in clinical studies for new drugs in the
region.
·
In-house services are expected to be the fastest growing service
segment during the forecast period 2019-2026. Several funding and R&D
initiatives are undertaken by private institutions, and biopharmaceutical
companies for the detection of a biomarker for drug development and disorder
are driving the market growth.
·
North America region accounted for nearly 45% of the market
share in 2018 owing to increasing R&D activities for drug discovery
processes and development of new biological computation tools.
·
Several funding and R&D initiatives are undertaken by
private institutions, and biopharmaceutical companies for the detection of a
biomarker for drug development and disorder are driving the market growth.
·
Computational Genomics segment is expected to witness lucrative
growth attributing to the recent technological advancements in cloud computing
and other IT technologies. For instance, the Epidemiology and Genomics Research
Program (EGRP) grants endowment to research-related activities and related need
for personalization in healthcare owing to genetic variations, expanding
application in non-oncology diseases,
·
Market players are adapting various organic and inorganic
expansion strategies. For instance, Paragon Genomics Introduces CleanPlex CFTR
Panel and unveils new fusion detection enables identification of known and
novel gene fusions as diagnostic and prognostic markers for tumor progression.
The CFTR Panel leverages Paragon Genomics' CleanPlex technology in a multiplex
PCR-based targeted resequencing assay designed to simplify the evaluation of
somatic and germline variants across the Cystic Fibrosis Transmembrane
Conductance Regulator (CFTR) gene.
·
Bioinformatics expanded to the development and the use of
computational tools for the biological interpretation of the large amounts of
data. There is a very heterogeneous scientific community that covers all
aspects of today’s genetic research. In the coming years the commitment to
bioinformatics and system biology will be extended even further with increased
funding and explicit commitment to both of these areas.
·
Recently, in November 2019, Alibaba funded Hong Kong biotech
firms to boost investments. The fund has invested in Hong Kong-based Prenetics,
which provides genetics testing solutions for cancer screening and
pharmacogenomics
·
The global Computational Biology market consists of major
players like include Chemical Computing Group, Compugen, Simulation Plus,
Genedata, Certara, Insilico Biotechnology, Accelrys, Rhenovia Pharma, Entelos,
Nimbus Discovery, and Rhenovia Pharma
For the purpose of this report, Reports and Data has
segmented the Computational Biology market on the basis of application,
service, end use, and region:
Service Type (Revenue, USD Million; 2016–2026)
·
In-house
·
Contract
Application Type (Revenue, USD Million; 2016–2026)
·
Cellular & Biology Simulation
o
Computational Genomics
§
Database
§
Infrastructure / Hardware
§
Software & Services
o
Computational Proteomics
o
Pharmacogenomics
o
Others
·
Drug discovery and disease modeling
o
Target identification
o
Target Validation
o
Lead Discovery
o
Lead Optimization
·
Pre-clinical drug development
o
Pharmacokinetics
o
Pharmacodynamics
·
Clinical trials
o
Phase I
o
Phase II
o
Phase III
·
Human Body Simulation Software
End Use (Revenue, USD Million; 2016–2026)
·
Academics
·
Industry
·
Commercial
Regional Outlook (Revenue in USD Million; 2016–2026)
·
North America
o
U.S.
o
Canada
·
Europe
o
Germany
o
France
o
UK
o
Spain
o
Italy
o
Rest of the Europe
·
Asia Pacific
o
China
o
India
o
Japan
o
Rest of Asia-Pacific
·
Middle East & Africa
·
Latin America
o
Brazil
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Reasons to
Purchase this report:
·
To
gain insightful information on the Computational Biology market for the period
2020-2027 to help readers better understand the global market and its commercial
landscape.
·
To
investigate production processes, major issues and challenges, and solutions to
capitalize on the growth opportunities.
·
To
study drivers and restraints that are influencing the growth of the
Computational Biology market.
·
An
examination of strategic initiatives taken by leading companies.
·
To
give market estimation and prospects for the Computational Biology market.
·
Market
estimations for 2020-2027 include the growth trends with the latest market
information and SWOT analysis.
·
To
provide information available on the past and present market scenarios of the
Computational Biology industry and draw accurate forecasts.
·
A
detailed Computational Biology market demand & supply dynamics.
·
Identify
the current opportunities in the Computational Biology Market by relying on the
upcoming projects and market size overview.
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Table of
contents
Table
of Content
Chapter
1. Market Synopsis
1.1. Market Definition
1.2. Research Scope & Premise
1.3. Methodology
1.4. Market Estimation Technique
Chapter 2. Executive Summary
2.1. Summary Snapshot, 2018 – 2026
Chapter 3. Indicative Metrics
3.1. Increasing number of clinical
studies & trials
3.2. Rising demand for predictive
models
Chapter 4. Computational Biology Segmentation & Impact
Analysis
4.1. Computational Biology
Segmentation Analysis
4.2. Computational Biology Market
Value Chain Analysis, 2016-2026
4.3. Regulatory framework
4.4. Computational Biology Market
Impact Analysis
4.4.1. Market
driver analysis
4.4.1.1. Rising demand for customized medicine
4.4.1.2. Increased cost of drug discovery process
4.4.2. Market
restraint analysis
4.4.2.1. Lack of skilled professionals to operate computational
biology
4.4.2.2. Requirement of different algorithms for different sequences
4.5. Key opportunities prioritized
4.6. Computational Biology Pricing
Analysis
4.7. Industry analysis - Porter's
4.8. Computational Biology PESTEL
Analysis
Chapter 5. Computational Biology Market By Application Type
Insights & Trends
Continued…..
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