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市場調查報告書
商品編碼
1796852
生物資訊市場-全球產業規模、佔有率、趨勢、機會和預測,按產品和服務、類型、應用、最終用戶、地區和競爭細分,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 年全球生物資訊學市場價值為 112.4 億美元,預計到 2030 年將達到 225.9 億美元,預測期內複合年成長率為 12.34%。生物資訊學是一門融合生物學和資訊科技的跨學科領域。它建立生物資料與資訊儲存、分發和分析技術之間的聯繫,支持各個科學研究領域,尤其是生物醫學領域的研究。生物資訊學利用軟體工具完成資料庫建置、資料管理、資料倉儲、資料探勘等任務。這種資料探勘可以帶來技術發現,並在遺傳學和基因組研究中發揮重要作用。市場提供眾多生物資訊工具,包括蛋白質功能和分析工具、同源性和相似性工具、序列分析工具以及其他工具。
市場概覽 | |
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預測期 | 2026-2030 |
2024年市場規模 | 112.4億美元 |
2030年市場規模 | 225.9億美元 |
2025-2030 年複合年成長率 | 12.34% |
成長最快的領域 | 基因組學和蛋白質組學 |
最大的市場 | 北美洲 |
根據史丹佛醫學院2022年1月發表的一篇文章,史丹佛大學科學家進行的研究表明,DNA定序技術可以在大約8小時內完成人類基因組定序。這樣的發展將刺激基因體學的需求,進而推動生物資訊領域的發展。生物資訊資料儲存和分析應用程式能夠儲存大量的基因組和蛋白質組資訊,以促進從衰老和致癌作用到遺傳疾病預防治療等領域的研究活動。預計這一因素也將在預測期內顯著促進該行業的成長。
該領域涵蓋生命科學的多元化專業領域,包括結構基因組學、功能基因組學、DNA微陣列、比較基因組學和醫學資訊。因此,上述因素推動了全球生物資訊學市場的成長。此外,對整合解決方案和系統的需求不斷成長,機器學習和人工智慧在醫療保健領域的融合,以及軟體公司對生物資訊解決方案的投資,預計將為生物資訊解決方案開發商提供豐厚的市場機會。
核酸和蛋白質定序需求不斷增加
缺乏明確的資料整合標準和通用資料格式
人工智慧(AI)和機器學習
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: