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 2021 to 2029.

"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 2020. The lead of this segment is anticipated to continue through the forecast period.

"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.

"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.

"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.

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.

Historical & Forecast Period

This study report represents analysis of each segment from 2023 to 2033 considering 2024 as the base year. Compounded Annual Growth Rate (CAGR) for each of the respective segments estimated for the forecast period of 2025 to 2033.

The current report comprises of quantitative market estimations for each micro market for every geographical region and qualitative market analysis such as micro and macro environment analysis, market trends, competitive intelligence, segment analysis, porters five force model, top winning strategies, top investment markets, emerging trends and technological analysis, case studies, strategic conclusions and recommendations and other key market insights.

Research Methodology

The complete research study was conducted in three phases, namely: secondary research, primary research, and expert panel review. key data point that enables the estimation of Computational Biology market are as follows:

• Research and development budgets of manufacturers and government spending
• Revenues of key companies in the market segment
• Number of end users and consumption volume, price and value.
• Geographical revenues generate by countries considered in the report
• Micro and macro environment factors that are currently influencing the Computational Biology market and their expected impact during the forecast period.

Market forecast was performed through proprietary software that analyzes various qualitative and quantitative factors. Growth rate and CAGR were estimated through intensive secondary and primary research. Data triangulation across various data points provides accuracy across various analyzed market segments in the report. Application of both top down and bottom-up approach for validation of market estimation assures logical, methodical and mathematical consistency of the quantitative data.

Key questions answered in this report

• What are the key micro and macro environmental factors that are impacting the growth of Computational Biology market?
• What are the key investment pockets with respect to product segments and geographies currently and during the forecast period?
• Estimated forecast and market projections up to 2033.
• Which segment accounts for the fastest CAGR during the forecast period?
• Which market segment holds a larger market share and why?
• Are low and middle-income economies investing in the Computational Biology market?
• Which is the largest regional market for Computational Biology market?
• What are the market trends and dynamics in emerging markets such as Asia Pacific, Latin America, and Middle East & Africa?
• Which are the key trends driving Computational Biology market growth?
• Who are the key competitors and what are their key strategies to enhance their market presence in the Computational Biology market worldwide?