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The Computational Biology Market grew from USD 6.25 billion in 2023 to USD 7.42 billion in 2024. It is expected to continue growing at a CAGR of 18.91%, reaching USD 21.01 billion by 2030. Speak directly to the analyst to clarify any post sales queries you may have.
Computational biology, a field at the intersection of biology and computer science, involves using computational techniques to model biological systems and solve complex biological problems. Its scope encompasses bioinformatics, systems biology, and the development of algorithms to analyze biological data. The necessity of computational biology arises from the increasing volume of biological data generated by advances in technology like next-generation sequencing and healthcare-related research, necessitating sophisticated methods for data integration and interpretation. Applications include drug discovery, personalized medicine, genetic research, and understanding complex biological systems and diseases. The end-use scope spans pharmaceutical companies, biotechnological firms, research institutions, and academic centers. With the growing demand for novel therapeutics and the emphasis on precision medicine, computational biology is seeing significant market growth fueled by advancements in AI and machine learning which enhance data analysis and predict outcomes more accurately. Key growth factors include technological advancements, increasing R&D investments, and collaborations between academic and commercial entities. However, challenges such as the high cost of technology, complexities in data management, and a shortage of skilled professionals can impede market growth. Potential opportunities lie in improving data analytics, harnessing AI for complex problem solving, and expanding personalized medicine applications. There are opportunities in integrating computational biology with other high-tech fields such as bioinformatics, thereby opening new research and innovation avenues. It's crucial for businesses to focus on cloud computing solutions to manage large datasets and to foster collaboration across sectors to accelerate innovation. Despite its promising potential, navigating ethical considerations, data privacy concerns, and ensuring the reproducibility of computational methods remain critical challenges. Nonetheless, the market is dynamic and poised for expansion, offering robust avenues for innovation and business development in the biological sciences.
Understanding Market Dynamics in the Computational Biology Market
The Computational Biology Market is rapidly evolving, shaped by dynamic supply and demand trends. These insights provide companies with actionable intelligence to drive investments, develop strategies, and seize emerging opportunities. A comprehensive understanding of market dynamics also helps organizations mitigate political, geographical, technical, social, and economic risks while offering a clearer view of consumer behavior and its effects on manufacturing costs and purchasing decisions.- Market Drivers
- Rising Need for Personalized Medicine
- Growing Bioinformatics Research and Increasing Number of Clinical Studies
- Adoption of Computational Biology in Oncology Therapeutics
- Market Restraints
- Dearth of Skilled Professionals to Operate Computational Tools
- Market Opportunities
- Accelerating Use of Bioinformatics and Multiscale Biological Modeling in Cell Modeling
- Increased Funding in Bioinformatics Coupled with Advancements in the Field of Computational Biology
- Market Challenges
- Insufficiency of Interoperability and Multiplatform Capabilities and Lack of Well-Defined Standards
Exploring Porter’s Five Forces for the Computational Biology Market
Porter’s Five Forces framework further strengthens the insights of the Computational Biology Market, delivering a clear and effective methodology for understanding the competitive landscape. This tool enables companies to evaluate their current competitive standing and explore strategic repositioning by assessing businesses’ power dynamics and market positioning. It is also instrumental in determining the profitability of new ventures, helping companies leverage their strengths, address weaknesses, and avoid potential pitfalls.Applying PESTLE Analysis to the Computational Biology Market
External macro-environmental factors deeply influence the performance of the Computational Biology Market, and the PESTLE analysis provides a comprehensive framework for understanding these influences. By examining Political, Economic, Social, Technological, Legal, and Environmental elements, this analysis offers organizations critical insights into potential opportunities and risks. It also helps businesses anticipate changes in regulations, consumer behavior, and economic trends, enabling them to make informed, forward-looking decisions.Analyzing Market Share in the Computational Biology Market
The Computational Biology Market share analysis evaluates vendor performance. This analysis provides a clear view of each vendor’s standing in the competitive landscape by comparing key metrics such as revenue, customer base, and other critical factors. Additionally, it highlights market concentration, fragmentation, and trends in consolidation, empowering vendors to make strategic decisions that enhance their market position.Evaluating Vendor Success with the FPNV Positioning Matrix in the Computational Biology Market
The Computational Biology Market FPNV Positioning Matrix is crucial in evaluating vendors based on business strategy and product satisfaction levels. By segmenting vendors into four quadrants - Forefront (F), Pathfinder (P), Niche (N), and Vital (V) - this matrix helps users make well-informed decisions that best align with their unique needs and objectives in the market.Key Company Profiles
The report delves into recent significant developments in the Computational Biology Market, highlighting leading vendors and their innovative profiles. These include Thermo Fisher Scientific Inc., SOPHiA GENETICS, Eurofins Scientific SE, Chemical Computing Group Inc., Nimbus Discovery Llc, Simulation Plus Inc., Instem Group, Ocean Genomics, DNASTAR, Inc., Waters Corporation, DNAnexus, Inc., Rosa & Co. Llc, BGI Group, Dassault Systèmes SE, Biomax Informatics AG, PerkinElmer, Inc., ProFound Therapeutics, Insilico Medicine, WuXi NextCODE, Genedata AG, Schrodinger, Inc., QIAGEN N.V., Agilent Technologies, Inc., Pluto Bioinformatics, Illumina, Inc., and Compugen Ltd..Market Segmentation & Coverage
This research report categorizes the Computational Biology Market to forecast the revenues and analyze trends in each of the following sub-markets:- Services
- Contract
- In-house
- Application
- Cellular Biological Simulation
- Clinical Trials
- Drug Discovery & Disease Modelling
- Human Body Simulation Software
- Preclinical Drug Development
- End-Use
- Academics
- Commercial
- Region
- Americas
- Argentina
- Brazil
- Canada
- Mexico
- United States
- California
- Florida
- Illinois
- New York
- Ohio
- Pennsylvania
- Texas
- Asia-Pacific
- Australia
- China
- India
- Indonesia
- Japan
- Malaysia
- Philippines
- Singapore
- South Korea
- Taiwan
- Thailand
- Vietnam
- Europe, Middle East & Africa
- Denmark
- Egypt
- Finland
- France
- Germany
- Israel
- Italy
- Netherlands
- Nigeria
- Norway
- Poland
- Qatar
- Russia
- Saudi Arabia
- South Africa
- Spain
- Sweden
- Switzerland
- Turkey
- United Arab Emirates
- United Kingdom
- Americas
The report provides a detailed overview of the market, exploring several key areas:
- Market Penetration: A thorough examination of the current market landscape, featuring comprehensive data from leading industry players and analyzing their reach and influence across the market.
- Market Development: The report identifies significant growth opportunities in emerging markets and assesses expansion potential within established segments, providing a roadmap for future development.
- Market Diversification: In-depth coverage of recent product launches, untapped geographic regions, significant industry developments, and strategic investments reshaping the market landscape.
- Competitive Assessment & Intelligence: A detailed analysis of the competitive landscape, covering market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, technological advancements, and innovations in manufacturing by key market players.
- Product Development & Innovation: Insight into groundbreaking technologies, R&D efforts, and product innovations that will drive the market in future.
Additionally, the report addresses key questions to assist stakeholders in making informed decisions:
- What is the current size of the market, and how is it expected to grow?
- Which products, segments, and regions present the most attractive investment opportunities?
- What are the prevailing technology trends and regulatory factors influencing the market?
- How do top vendors rank regarding market share and competitive positioning?
- What revenue sources and strategic opportunities guide vendors' market entry or exit decisions?
Table of Contents
1. Preface
2. Research Methodology
4. Market Overview
5. Market Insights
6. Computational Biology Market, by Services
7. Computational Biology Market, by Application
8. Computational Biology Market, by End-Use
9. Americas Computational Biology Market
10. Asia-Pacific Computational Biology Market
11. Europe, Middle East & Africa Computational Biology Market
12. Competitive Landscape
List of Figures
List of Tables
Companies Mentioned
The leading players in the Computational Biology market, which are profiled in this report, include:- Thermo Fisher Scientific Inc.
- SOPHiA GENETICS
- Eurofins Scientific SE
- Chemical Computing Group Inc.
- Nimbus Discovery Llc
- Simulation Plus Inc.
- Instem Group
- Ocean Genomics
- DNASTAR, Inc.
- Waters Corporation
- DNAnexus, Inc.
- Rosa & Co. Llc
- BGI Group
- Dassault Systèmes SE
- Biomax Informatics AG
- PerkinElmer, Inc.
- ProFound Therapeutics
- Insilico Medicine
- WuXi NextCODE
- Genedata AG
- Schrodinger, Inc.
- QIAGEN N.V.
- Agilent Technologies, Inc.
- Pluto Bioinformatics
- Illumina, Inc.
- Compugen Ltd.
Methodology
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Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 180 |
| Published | October 2024 |
| Forecast Period | 2024 - 2030 |
| Estimated Market Value ( USD | $ 7.42 Billion |
| Forecasted Market Value ( USD | $ 21.01 Billion |
| Compound Annual Growth Rate | 18.9% |
| Regions Covered | Global |
| No. of Companies Mentioned | 27 |
