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市场调查报告书
商品编码
1796852
生物资讯市场-全球产业规模、份额、趋势、机会和预测,按产品和服务、类型、应用、最终用户、地区和竞争细分,2020-2030 年Bioinformatics Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Product & Services, By Type, By Application, By End User, By Region and Competition, 2020-2030F |
2024 年全球生物资讯学市场价值为 112.4 亿美元,预计到 2030 年将达到 225.9 亿美元,预测期内复合年增长率为 12.34%。生物资讯学是一门融合生物学和资讯科技的跨学科领域。它建立生物资料与资讯储存、分发和分析技术之间的联繫,支持各个科学研究领域,尤其是生物医学领域的研究。生物资讯学利用软体工具完成资料库建置、资料管理、资料仓储、资料探勘等任务。这种资料探勘可以带来技术发现,并在遗传学和基因组研究中发挥重要作用。市场提供众多生物资讯工具,包括蛋白质功能和分析工具、同源性和相似性工具、序列分析工具以及其他工具。
市场概览 | |
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预测期 | 2026-2030 |
2024年市场规模 | 112.4亿美元 |
2030年市场规模 | 225.9亿美元 |
2025-2030 年复合年增长率 | 12.34% |
成长最快的领域 | 基因组学和蛋白质组学 |
最大的市场 | 北美洲 |
根据史丹佛医学院2022年1月发表的一篇文章,史丹佛大学科学家进行的研究表明,DNA定序技术可以在大约8小时内完成人类基因组定序。这样的发展将刺激基因体学的需求,进而推动生物资讯领域的发展。生物资讯资料储存和分析应用程式能够储存大量的基因组和蛋白质组信息,以促进从衰老和致癌作用到遗传疾病预防治疗等领域的研究活动。预计这一因素也将在预测期内显着促进该行业的成长。
该领域涵盖生命科学的多元化专业领域,包括结构基因组学、功能基因组学、DNA微阵列、比较基因组学和医学资讯。因此,上述因素推动了全球生物资讯学市场的成长。此外,对整合解决方案和系统的需求不断增长,机器学习和人工智慧在医疗保健领域的融合,以及软体公司对生物资讯解决方案的投资,预计将为生物资讯解决方案开发商提供丰厚的市场机会。
核酸和蛋白质定序需求不断增加
缺乏明确的资料整合标准和通用资料格式
人工智慧(AI)和机器学习
Global Bioinformatics Market was valued at USD 11.24 Billion in 2024 and is expected to reach USD 22.59 Billion by 2030 with a CAGR of 12.34% during the forecast period. Bioinformatics is an interdisciplinary field that merges biology and information technology. It establishes connections between biological data and techniques for information storage, distribution, and analysis, bolstering various areas of scientific research, particularly in biomedicine. Bioinformatics leverages software tools for tasks such as database formation, data management, data warehousing, data mining, and more. This data mining leads to technical discoveries and plays a significant role in the study of genetics and genomes. The market offers numerous bioinformatics tools, including protein functional and analysis tools, homology and similarity tools, sequence analysis tools, and miscellaneous tools.
Market Overview | |
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Forecast Period | 2026-2030 |
Market Size 2024 | USD 11.24 Billion |
Market Size 2030 | USD 22.59 Billion |
CAGR 2025-2030 | 12.34% |
Fastest Growing Segment | Genomics & Proteomics |
Largest Market | North America |
According to an article published by Stanford Medicine in January 2022, research conducted by Stanford scientists showed that a DNA sequencing technique could sequence a human genome in about 8 hours. Such developments can boost demand for genomics and, consequently, the bioinformatics sector. Bioinformatics data storage and analysis applications are capable of storing a large amount of genomic and proteomic information to facilitate research activities in fields ranging from aging and carcinogenesis to preventive therapy for genetic diseases. This factor is also expected to significantly contribute to the growth of this industry over the forecast period.
The field encompasses diverse and specialized domains of life science, including structural genomics, functional genomics, DNA microarrays, comparative genomics, and medical information. Consequently, these aforementioned factors contribute to the growth of the global bioinformatics market. Moreover, the rising demand for integrated solutions and systems, the integration of machine learning and AI in healthcare, and the investments made by software companies in bioinformatics solutions are expected to provide lucrative market opportunities for bioinformatics solution developers.
Key Market Drivers
Increasing Demand for Nucleic Acid and Protein Sequencing
The increasing demand for nucleic acid and protein sequencing technologies is expected to have a profound impact on the field of bioinformatics, fueling a surge in demand for bioinformatics tools and expertise. Nucleic acid sequencing (such as DNA and RNA sequencing) and protein sequencing are pivotal in advancing our understanding of genetics, genomics, and proteomics, and their applications span various scientific and medical disciplines. Nucleic acid and protein sequencing generate vast amounts of raw data. As sequencing technologies become more accessible and affordable, the volume of data being generated is skyrocketing. Bioinformatics plays a critical role in managing, analyzing, and interpreting these massive datasets, driving the demand for specialized software and tools. For instance, in June 2021, the U.S. Food and Drug Administration and the Center for Drug Evaluation and Research (CDER) sanctioned 26 new molecular entities (NMEs), which will drive the growth of research and development activities.
The use of sequencing data in personalized medicine, pharmacogenomics, and disease diagnostics is growing. Bioinformatics is essential for identifying genetic variations associated with diseases, drug responses, and treatment decisions. As genomic medicine gains momentum, so does the demand for bioinformatics solutions to make sense of the genomic data.
Key Market Challenges
Lack of Well-defined Standards and Common Data Formats for Integration of Data
The lack of well-defined standards and common data formats for the integration of data is a significant challenge that can potentially restrain the demand for bioinformatics. Bioinformatics relies heavily on the integration of diverse biological and biomedical data sources, including genomics, proteomics, clinical records, and more. Biological and biomedical data are generated using various technologies and platforms, leading to differences in data formats and structures. Without standardized formats, integrating data from different sources becomes challenging and time-consuming. This can result in data incompatibility issues, making it difficult to analyze and draw meaningful conclusions.
The lack of common data standards hinders interoperability between different bioinformatics tools and databases. Researchers often need to adapt or develop custom data conversion scripts or tools to bridge data format gaps, which can lead to inefficiencies in data processing.
Converting data from one format to another can introduce errors or loss of information, particularly when dealing with large and complex datasets. These errors can have significant consequences, potentially leading to inaccurate research findings or clinical decisions. Researchers and bioinformaticians spend a substantial amount of time and effort on data preprocessing tasks, such as data format conversion and normalization. This diverts resources from actual data analysis and research, slowing down scientific progress.
Key Market Trends
Artificial Intelligence (AI) and Machine Learning
AI and machine learning techniques will be increasingly applied to analyze complex biological data. These technologies can identify patterns, predict disease risk, and optimize drug discovery processes. AI and machine learning algorithms can clean, normalize, and preprocess biological data. This includes tasks such as quality control for sequencing data, removing noise, and standardizing data formats. This ensures that the data used for analysis is of high quality. Machine learning models are excellent at recognizing patterns within biological data. This capability is crucial for identifying significant genetic variations, protein-protein interactions, and gene expression patterns associated with diseases or drug responses.
AI and machine learning play a vital role in drug discovery by predicting potential drug candidates and optimizing drug development processes. These technologies can analyze molecular structures, predict drug-target interactions, and assess the safety and efficacy of compounds.
In this report, the Global Bioinformatics Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the Global Bioinformatics Market.
Global Bioinformatics market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report: