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市場調查報告書
商品編碼
1953676
蛋白質定序市場-全球產業規模、佔有率、趨勢、機會及預測(依產品/服務、應用、最終用途、地區及競爭格局分類,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 |
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全球蛋白質定序市場預計將從 2025 年的 16.9 億美元成長到 2031 年的 27.5 億美元,複合年成長率為 8.45%。
該過程能夠精確識別蛋白質中的氨基酸序列,從而闡明其功能和結構。由於蛋白質體學在藥物研發和個人化醫療中的重要性日益凸顯,市場對蛋白質體學的需求也不斷成長。慢性疾病的日益普遍是推動這項需求的另一個因素,也使得人們迫切需要新的生物標記來輔助早期檢測和治療後續觀察。例如,美國癌症協會 (ACS) 預計,到 2024 年,美國將新增超過 200 萬例癌症病例,凸顯了在腫瘤學領域進行先進蛋白質體學分析的迫切性。
| 市場概覽 | |
|---|---|
| 預測期 | 2027-2031 |
| 市場規模:2025年 | 16.9億美元 |
| 市場規模:2031年 | 27.5億美元 |
| 複合年成長率:2026-2031年 | 8.45% |
| 成長最快的細分市場 | 蛋白質定序服務 |
| 最大的市場 | 北美洲 |
然而,定序工具的成本和技術複雜性是該產業面臨的重大障礙。由於蛋白質無法像基因組DNA那樣擴增,因此要準確鑑定低豐度分子需要高度靈敏且昂貴的設備。這種巨大的資金需求,加上全球範圍內能夠分析複雜數據的合格生物資訊學家短缺,限制了該技術在小規模實驗室的應用,並阻礙了其快速擴張。
公共和私人投資對蛋白質體學研究的不斷成長正成為市場的主要驅動力,推動高靈敏度定序平台從原型階段走向商業化。資本的湧入使新興生技公司能夠克服設備成本高昂的難題,並擴大產能。例如,Alamar Biosciences在2024年2月發布的題為「Alamar Biosciences完成1.28億美元C輪資金籌措」的新聞稿中指出,該公司獲得了大量資金,用於加速其自動化蛋白質組學系統的發布,這表明投資者對先進蛋白質分析技術充滿信心。這種雄厚的資金實力也促進了市場整合,使公司能夠在高成本下業務永續營運。根據Standard Biotools在2024年1月發布的題為「Standard Biotools完成與SomaLogic的合併」的新聞稿,合併後的公司在2023會計年度(按備考基準)的收入約為1.8億美元,表明該行業已實現顯著的規模經濟效益。
此外,將生物資訊學和人工智慧融入蛋白質體學工作流程,正成為消除複雜定序資料解讀瓶頸的關鍵驅動力。人工智慧演算法已被證明對快速、準確的定序和轉譯後修飾檢測至關重要,而這些工作傳統上需要大量的人工操作。這些技術進步正在重塑藥物研發策略,並催生出專注於基於人工智慧的藥物發現的重要合作關係。 2024年1月,禮來公司宣布與Isomorphic Labs達成“禮來戰略合作”,承諾預付4500萬美元,利用人工智慧進行多靶點藥物發現,這標誌著蛋白質組學領域向計算方法的重大轉變。透過自動化複雜的數據分析,這些創新減少了對稀缺生物資訊專業知識的依賴,並加快了從定序到治療標靶確認的整個過程。
全球蛋白質定序市場面臨許多重大障礙:定序設備成本高且技術複雜。由於蛋白質無法像基因組物質那樣擴增,因此需要高靈敏度且昂貴的設備才能有效檢測低豐度分子。這項要求推高了設備價格,對許多潛在用戶構成了難以克服的障礙。因此,這些先進技術的應用往往僅限於資金雄厚的機構,而無法承擔巨額資本投入的小規模研究機構則被拒之門外。
考慮到整個產業的結構,這種財務壁壘尤其具有破壞性。根據歐洲醫療技術協會(MedTech Europe)2024年的數據,中小企業約佔醫療技術領域的90%。由於這些預算有限的小規模營業單位主導市場,高昂的設備成本直接阻礙了蛋白質定序的廣泛應用和擴充性。此外,缺乏具備分析複雜數據能力的合格生物資訊學家也造成了營運瓶頸,進一步孤立了那些無力聘請此類專業人員的小規模實驗室。
基於半導體的定序晶片的轉變正在改變整個產業。這項技術無需擴增或複雜的光學設備即可實現單分子蛋白質檢測。這項技術進步使得胺基酸序列可以直接在固體元件上讀取,顯著降低了分析工具的成本和物理尺寸,同時提高了對微量蛋白質的靈敏度。為了克服傳統批量技術的局限性,早期採用者正在將這些平台整合到他們的常規流程中,這使得方法的商業性可行性更加清晰。例如,Quantum-Si公司在2025年3月發布的新聞稿《Quantum-Si公佈2024年第四季及全年財務業績》中報告稱,其營收同比成長183%,達到310萬美元,凸顯了市場對半導體驅動的蛋白質組學技術的強勁需求。
同時,蛋白質定序和多體學研究的融合正在重塑實驗方法。研究人員致力於將基因組資訊與表現型蛋白質體學結果連結起來,推動建構整合的工作流程,從而實現對群體層級蛋白質和DNA的分析,進而更全面地了解疾病進程。大型生物銀行計劃主導這一趨勢,建立大規模生物資料集,以支持高通量藥物發現和生物標記驗證。例如,Illumina在2025年1月的新聞稿中宣布:“Illumina啟動試點蛋白質組學項目,旨在與英國生物樣本庫和生物製藥公司合作分析5萬個檢體”,該計劃旨在生成來自5萬名受試者的基於次世代定序的蛋白質組學數據,展現了當前多體學整合工作的巨大規模。
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: