계산 생물학 세계 시장 규모는 2022년에 57억 달러로 평가되었고, 2023년 67억 5,000만 달러에서 2031년에는 262억 6,000만 달러로 성장할 것으로 예측 기간 중(2024-2031년)의 CAGR은 18.5%에서 발전할 전망입니다.
계산 생물학 시장은 창약 연구 개발 증가, 예측 모델에 대한 수요의 급증, 정부에 의한 자금 원조 이니셔티브 등을 배경으로 급성장을 이루고 있습니다. 유전체학과 약리학을 포함한 생물학적 시스템의 상세한 탐색이 가능합니다. BeiGene과 Ambrx와 같은 공동 연구는 확장 유전 암호와 같은 혁신적인 플랫폼을 통합하여 의약품 개발을 강화하고 있습니다. 실패율의 상승에 대응하기 위해 제약회사는 예측 모델링으로 이동하고 있으며, 시장은 크게 확대되는 태세에 있습니다.
Global Computational Biology Market size was valued at USD 5.7 billion in 2022 and is poised to grow from USD 6.75 billion in 2023 to USD 26.26 billion by 2031, growing at a CAGR of 18.5% during the forecast period (2024-2031).
The computational biology market is experiencing rapid growth, driven by increasing drug discovery R&D, a surge in demand for predictive models, and government funding initiatives. Leveraging theoretical concepts and computer simulations, this multidisciplinary field enables detailed exploration of biological systems, including genomics and pharmacology. Notable advancements include the Human Genome Project, which showcased the power of computing in genetic mapping. Collaborations, such as that between BeiGene and Ambrx, are enhancing drug development by integrating innovative platforms like the Expanded Genetic Code. With pharmaceutical companies shifting towards predictive modeling in response to rising costs and failure rates in clinical trials, the market is poised for significant expansion. Increased investment from both public and private sectors continues to bolster this dynamic sector.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Computational Biology market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Computational Biology Market Segmental Analysis
Global Computational Biology Market is segmented by service, application, end-use and region. Based on service, the market is segmented into databases, infrastructure & hardware and software platform. Based on application, the market is segmented into drug discovery & disease modelling, preclinical drug development, clinical trial, computational genomics, computational proteomics and others. Based on end-use, the market is segmented into academic & research, pharmaceutical industry and industrial. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Computational Biology Market
The global Computational Biology market is projected to witness significant growth driven by the increasing demand for advanced computational tools for genome sequencing. As more sophisticated software becomes accessible, scientists can efficiently conduct tasks such as creating PCR primers, identifying restriction enzyme cut sites, and converting DNA sequences into amino acids. The expanding databases and sequence analysis tools empower researchers to extract valuable insights regarding gene structures and functions, thereby enhancing the drug development process. By pinpointing functionally relevant protein sequences from extensive datasets, these computational approaches facilitate the discovery of new therapeutic targets and enable the engineering of synthetic DNA sequences, which further promotes innovation and commercialization in biotechnology. This rapid advancement in sequencing technology and analytical tools is expected to substantially boost market revenue in the coming years.
Restraints in the Global Computational Biology Market
The global computational biology market faces significant constraints primarily due to a scarcity of skilled professionals and a lack of standardized practices. Expertise in this field requires a strong foundation in programming, mathematics, and statistics, along with a comprehensive understanding of cloud computing and biological sciences. The interdisciplinary nature of computational biology often results in an absence of a cohesive curriculum, which may impede the ability of recent graduates to enhance their skill sets effectively. Furthermore, the field currently lacks established methods for addressing issues such as allergic reactions and post-surgical complications, potentially hindering market revenue growth in the future.
Market Trends of the Global Computational Biology Market
The global computational biology market is experiencing a robust upward trend, primarily fueled by the surge in clinical studies focused on pharmacogenomics, which enhances understanding of diverse patient populations' biological frameworks. This growing emphasis on personalized medicine, along with the need for rapid drug discovery and streamlined scientific research processes, is driving demand for computational biology solutions. Moreover, the increasing integration of computational tools across epigenomics, proteomics, and metagenomics sectors is pivotal in elucidating protein structures and interactions. Coupled with significant advancements in disease modeling and drug development, alongside heightened R&D investment from both private and public entities, the market is poised for sustained growth.