![]() |
市场调查报告书
商品编码
1953676
蛋白质定序市场-全球产业规模、份额、趋势、机会及预测(依产品/服务、应用、最终用途、地区及竞争格局划分,2021-2031年)Protein Sequencing Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Product & Service, By Application, By End Use, By Region & Competition, 2021-2031F |
||||||
全球蛋白质定序市场预计将从 2025 年的 16.9 亿美元成长到 2031 年的 27.5 亿美元,复合年增长率为 8.45%。
该过程能够精确识别蛋白质中的氨基酸序列,从而阐明其功能和结构。由于蛋白质体学在药物研发和个人化医疗中的重要性日益凸显,市场对蛋白质体学的需求也不断增长。慢性疾病的日益普遍是推动这项需求的另一个因素,也使得人们迫切需要新的生物标记来辅助早期检测和治疗后续观察。例如,美国癌症协会 (ACS) 预计,到 2024 年,美国将新增超过 200 万例癌症病例,凸显了在肿瘤学领域进行先进蛋白质体学分析的迫切性。
| 市场概览 | |
|---|---|
| 预测期 | 2027-2031 |
| 市场规模:2025年 | 16.9亿美元 |
| 市场规模:2031年 | 27.5亿美元 |
| 复合年增长率:2026-2031年 | 8.45% |
| 成长最快的细分市场 | 蛋白质定序服务 |
| 最大的市场 | 北美洲 |
然而,定序工具的成本和技术复杂性是该产业面临的重大障碍。由于蛋白质无法像基因组DNA那样扩增,因此要准确鑑定低丰度分子需要高度灵敏且昂贵的设备。这种巨大的资金需求,加上全球范围内能够分析复杂数据的合格生物资讯学家短缺,限制了该技术在小规模实验室的应用,并阻碍了其快速扩张。
公共和私人投资对蛋白质体学研究的不断增长正成为市场的主要驱动力,推动高灵敏度定序平台从原型阶段走向商业化。资本的涌入使新兴生技公司能够克服设备成本高昂的难题,并扩大产能。例如,Alamar Biosciences在2024年2月发布的题为「Alamar Biosciences完成1.28亿美元C轮资金筹措」的新闻稿中指出,该公司获得了大量资金,用于加速其自动化蛋白质组学系统的发布,这表明投资者对先进蛋白质分析技术充满信心。这种雄厚的资金实力也促进了市场整合,使公司能够在高成本下业务永续营运。根据Standard Biotools在2024年1月发布的题为「Standard Biotools完成与SomaLogic的合併」的新闻稿,合併后的公司在2023财年(按备考基准)的收入约为1.8亿美元,表明该行业已实现显着的规模经济效益。
此外,将生物资讯学和人工智慧融入蛋白质体学工作流程,正成为消除复杂定序资料解读瓶颈的关键驱动力。人工智慧演算法已被证明对快速、准确的定序和转译后修饰检测至关重要,而这些工作传统上需要大量的人工操作。这些技术进步正在重塑药物研发策略,并催生出专注于基于人工智慧的药物发现的重要合作关係。 2024年1月,礼来公司宣布与Isomorphic Labs达成“礼来战略合作”,承诺预付4500万美元,利用人工智能进行多靶点药物发现,这标誌着蛋白质组学领域向计算方法的重大转变。透过自动化复杂的数据分析,这些创新减少了对稀缺生物资讯专业知识的依赖,并加快了从定序到治疗标靶确认的整个过程。
全球蛋白质定序市场面临许多重大障碍:定序设备成本高且技术复杂。由于蛋白质无法像基因组物质那样扩增,因此需要高灵敏度且昂贵的设备才能有效检测低丰度分子。这项要求推高了设备价格,对许多潜在用户构成了难以克服的障碍。因此,这些先进技术的应用往往仅限于资金雄厚的机构,而无法承担巨额资本投入的小规模研究机构则被拒之门外。
考虑到整个产业的结构,这种财务壁垒尤其具有破坏性。根据欧洲医疗技术协会(MedTech Europe)2024年的数据,中小企业约占医疗技术领域的90%。由于这些预算有限的小规模营业单位主导市场,高昂的设备成本直接阻碍了蛋白质定序的广泛应用和扩充性。此外,缺乏具备分析复杂数据能力的合格生物资讯学家也造成了营运瓶颈,进一步孤立了那些无力聘请此类专业人员的小规模实验室。
基于半导体的定序晶片的转变正在改变整个产业。这项技术无需扩增或复杂的光学设备即可实现单分子蛋白质检测。这项技术进步使得胺基酸序列可以直接在固体元件上读取,显着降低了分析工具的成本和物理尺寸,同时提高了对微量蛋白质的灵敏度。为了克服传统批量技术的局限性,早期采用者正在将这些平台整合到他们的常规流程中,这使得方法的商业性可行性更加清晰。例如,Quantum-Si公司在2025年3月发布的新闻稿《Quantum-Si公布2024年第四季及全年财务业绩》中报告称,其营收同比增长183%,达到310万美元,凸显了市场对半导体驱动的蛋白质组学技术的强劲需求。
同时,蛋白质定序和多体学研究的融合正在重塑实验方法。研究人员致力于将基因组资讯与表型蛋白质体学结果连结起来,推动建构整合的工作流程,从而实现对群体层级蛋白质和DNA的分析,进而更全面地了解疾病进程。大型生物银行计划主导这一趋势,建立大规模生物数据集,以支持高通量药物发现和生物标记验证。例如,Illumina在2025年1月的新闻稿中宣布:“Illumina启动试点蛋白质组学项目,旨在与英国生物样本库和生物製药公司合作分析5万个检体”,该计划旨在生成来自5万名受试者的基于次世代定序的蛋白质组学数据,展现了当前多体学整合工作的巨大规模。
The Global Protein Sequencing Market is projected to expand from USD 1.69 Billion in 2025 to USD 2.75 Billion by 2031, reflecting a compound annual growth rate of 8.45%. This process, which entails identifying the exact amino acid sequence within a protein to decipher its function and structure, is seeing increased demand due to the growing importance of proteomics in drug development and personalized medicine. The rise in chronic disease prevalence acts as a further catalyst, creating a need for new biomarkers to aid in early detection and treatment monitoring. For instance, the American Cancer Society estimates that the United States will surpass 2 million new cancer cases in 2024, highlighting the urgent necessity for sophisticated proteomic profiling within oncology.
| Market Overview | |
|---|---|
| Forecast Period | 2027-2031 |
| Market Size 2025 | USD 1.69 Billion |
| Market Size 2031 | USD 2.75 Billion |
| CAGR 2026-2031 | 8.45% |
| Fastest Growing Segment | Protein Sequencing Services |
| Largest Market | North America |
However, the industry encounters substantial obstacles related to the expense and technical intricacy of sequencing tools. Because proteins cannot be amplified like genomic DNA, high-sensitivity and costly equipment are required to accurately identify low-abundance molecules. This heavy financial requirement, coupled with a worldwide shortage of qualified bioinformaticians who can analyze the resulting complex data, limits the technology's adoption in smaller labs and hinders its ability to scale rapidly.
Market Driver
Increasing investments from both public and private sectors in proteomics research function as a major market stimulant, facilitating the movement of sensitive sequencing platforms from the prototype stage to commercial availability. This surge in funding enables newer biotechnology companies to surmount the steep financial barriers linked to equipment costs and to expand their production capacities. For example, a press release from Alamar Biosciences in February 2024 titled 'Alamar Biosciences Closes $128 Million Series C Financing' noted that the firm obtained significant funds to speed up the release of its automated proteomics system, demonstrating robust investor faith in advanced protein analysis. This financial strength also supports market consolidation, allowing firms to maintain operations despite high costs; as per Standard BioTools Inc.'s January 2024 press release 'Standard BioTools Completes Merger with SomaLogic', the merged organization announced pro forma full-year 2023 revenue of roughly $180 million, indicating significant economic scale in the industry.
Additionally, the incorporation of bioinformatics and artificial intelligence into proteomic workflows acts as a crucial driver by resolving data interpretation bottlenecks associated with complex sequencing. AI algorithms are proving essential for rapid and precise de novo sequencing and the detection of post-translational modifications, processes that formerly demanded extensive manual effort. These technological improvements are reshaping pharmaceutical approaches, resulting in significant partnerships focused on AI-based discovery. As announced in January 2024 by Eli Lilly and Company in 'Lilly enters into strategic collaboration with Isomorphic Labs', the company committed to a $45 million upfront payment to utilize AI for multi-target drug discovery, marking a substantial pivot towards computational methods in proteomics. By automating complex data analysis, these innovations lessen reliance on scarce bioinformatics experts and accelerate the progression from sequencing to therapeutic target confirmation.
Market Challenge
The Global Protein Sequencing Market faces a major obstacle due to the exorbitant cost and technical intricacy of sequencing instruments. Because proteins do not support amplification like genomic materials, effective detection of low-abundance molecules requires highly sensitive and expensive equipment. This necessity drives up the price of machinery, establishing a formidable barrier for numerous prospective users. As a result, the deployment of these advanced technologies is frequently restricted to well-funded institutions, effectively locking out smaller research labs that cannot sustain such heavy capital expenditures.
This financial barrier is especially detrimental considering the structure of the broader industry. Data from MedTech Europe in 2024 indicates that small to medium-sized enterprises make up roughly 90% of the medical technology sector. Given that these smaller entities with tighter budgets dominate the market, the prohibitive cost of instrumentation directly hampers the widespread adoption and scalability of protein sequencing. Moreover, the shortage of qualified bioinformaticians skilled in analyzing the intricate data produced forms an operational choke point, further deterring smaller laboratories that lack the means to recruit such specialized staff.
Market Trends
The industry is being transformed by a transition toward semiconductor-based sequencing chips, which facilitate single-molecule protein detection without requiring amplification or intricate optical setups. This technological advancement enables amino acid sequences to be read directly on solid-state devices, drastically lowering the cost and physical size of analysis tools while improving sensitivity for proteins present in low quantities. The commercial feasibility of this method is gaining clarity as early users incorporate these platforms into their regular processes to overcome the constraints of conventional bulk techniques. For instance, Quantum-Si's press release from March 2025, 'Quantum-Si Reports Fourth Quarter and Full Year 2024 Financial Results', noted a 183% year-over-year revenue jump to $3.1 million, highlighting the surging demand for these semiconductor-driven proteomic technologies.
Concurrently, the merging of protein sequencing with multiomics research is redefining experimental approaches, as researchers aim to link genomic information with phenotypic proteomic outputs. This movement fosters the creation of unified workflows that permit the analysis of both proteins and DNA on a population level, offering a more complete picture of disease processes. Major biobanking projects are leading this charge, building extensive biological datasets to aid high-throughput drug development and biomarker confirmation. As an example, Illumina, Inc. announced in a January 2025 press release titled 'Illumina launches pilot proteomics program with UK Biobank and biopharma collaborators to analyze 50,000 samples' that it has begun a project to produce next-generation sequencing-based proteomics data for 50,000 subjects, demonstrating the vast scale of current multiomics integration efforts.
Report Scope
In this report, the Global Protein Sequencing 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 Protein Sequencing Market.
Global Protein Sequencing 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: