![]() |
市場調査レポート
商品コード
1796852
バイオインフォマティクス市場- 世界の産業規模、シェア、動向、機会、予測、製品・サービス別、タイプ別、用途別、エンドユーザー別、地域別セグメント、競合、2020年~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 |
||||||
カスタマイズ可能
|
バイオインフォマティクス市場- 世界の産業規模、シェア、動向、機会、予測、製品・サービス別、タイプ別、用途別、エンドユーザー別、地域別セグメント、競合、2020年~2030年 |
出版日: 2025年08月25日
発行: TechSci Research
ページ情報: 英文 185 Pages
納期: 2~3営業日
|
バイオインフォマティクスの世界市場規模は2024年に112億4,000万米ドル、予測期間中のCAGRは12.34%で2030年には225億9,000万米ドルに達すると予測されています。
バイオインフォマティクスは、生物学と情報技術を融合させた学際的な分野です。生物学的データと情報保存・配信・分析技術との接点を確立し、特に生物医学における様々な科学研究分野を強化します。バイオインフォマティクスは、データベース形成、データ管理、データウェアハウス、データマイニングなどの作業にソフトウェアツールを活用します。このデータマイニングは技術的発見につながり、遺伝学やゲノムの研究において重要な役割を果たしています。この市場では、タンパク質機能・解析ツール、相同性・類似性ツール、配列解析ツール、その他ツールなど、数多くのバイオインフォマティクスツールが提供されています。
市場概要 | |
---|---|
予測期間 | 2026-2030 |
市場規模:2024年 | 112億4,000万米ドル |
市場規模:2030年 | 225億9,000万米ドル |
CAGR:2025年~2030年 | 12.34% |
急成長セグメント | ゲノミクス&プロテオミクス |
最大市場 | 北米 |
Stanford Medicineが2022年1月に発表した記事によると、スタンフォード大学の科学者が行った調査により、DNA配列決定技術によりヒトゲノムの配列決定が約8時間で可能であることが示されました。このような開発により、ゲノミクス、ひいてはバイオインフォマティクス分野の需要が高まる可能性があります。バイオインフォマティクスデータストレージおよび解析アプリケーションは、老化や発がんから遺伝性疾患の予防治療まで幅広い分野の研究活動を促進するために、大量のゲノムおよびプロテオーム情報を保存することができます。この要因も、予測期間中のこの業界の成長に大きく貢献すると予想されます。
この分野は、構造ゲノミクス、機能ゲノミクス、DNAマイクロアレイ、比較ゲノミクス、医療情報など、ライフサイエンスの多様で専門的な領域を包含しています。その結果、前述のような要因が世界のバイオインフォマティクス市場の成長に寄与しています。さらに、統合ソリューションとシステムに対する需要の高まり、ヘルスケアにおける機械学習とAIの統合、ソフトウェア企業によるバイオインフォマティクスソリューションへの投資は、バイオインフォマティクスソリューション開発者に有利な市場機会を提供すると期待されています。
核酸およびタンパク質シーケンスの需要増加
データ統合のための明確な標準と共通データ形式の欠如
人工知能(AI)と機械学習
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 | |
---|---|
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: