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市場調查報告書
商品編碼
1800768
蛋白質體學市場報告(按分析類型、組件類型、技術、應用、最終用戶(臨床診斷實驗室、研究機構等)和地區)2025 年至 2033 年Proteomics Market Report by Analysis Type, Component Type, Technology, Application, End-User (Clinical Diagnostic Laboratories, Research Organizations, and Others), and Region 2025-2033 |
2024年,全球蛋白質體學市場規模達415億美元。展望未來, IMARC Group預計到2033年,該市場規模將達到1,394億美元,2025-2033年期間的複合年成長率(CAGR)為13.68%。目前,北美佔據市場主導地位,這得益於其強大的科研基礎設施以及製藥和生物技術公司的強勁發展。推動該市場發展的因素主要包括質譜技術的快速進步、慢性病發病率的上升以及個人化醫療的快速發展。此外,機器學習(ML)和人工智慧(AI)的日益融合正在升級蛋白質分析和資料解讀。
蛋白質體學市場因單細胞蛋白質體學的興起而不斷擴張。單細胞蛋白質體學能夠深入了解細胞異質性,從而實現更精準的疾病建模和標靶治療。學術機構與生技公司之間的合作正在加速創新,使研究能夠更快地轉化為實用的診斷和治療方案。質譜、蛋白質微陣列和新一代定序(NGS)的技術進步也提高了資料的準確性、通量和成本效益。蛋白質體學儀器的自動化和小型化程度不斷提高,提高了效率,減少了樣本量,並降低了營運成本。此外,蛋白質體學與基因組學和代謝組學等其他組學平台的整合,使得全面的生物學分析成為可能,進一步拓寬了其應用範圍。政府資金投入、對生物標記發現的監管支持,以及蛋白質體學在農業和環境監測領域應用的不斷增加,也促進了市場的成長。
慢性病和傳染病發生率不斷上升
慢性病和傳染病的高發病率極大地推動了市場的成長。隨著癌症、糖尿病、心血管疾病和傳染病等疾病的日益普遍,人們越來越需要在分子層面上了解疾病機制。根據美國國立衛生研究院 (NIH) 的數據,預計到 2024 年,美國將新增 2,001,140 例癌症病例。蛋白質體學使研究人員和臨床醫生能夠識別疾病特異性的生物標記、監測病情進展並開發標靶療法。它還有助於早期診斷,這對於有效管理慢性病至關重要。個人化醫療和精準治療的需求進一步推動了蛋白質體學工具的使用,因為它們可以更深入地分析蛋白質的相互作用和功能。
增加醫藥研發活動
日益成長的醫藥研發活動正在對市場產生正面影響。 《2025 年瑞士生技報告》指出,2024 年瑞士的研發支出達到 26 億瑞士法郎(31.6 億美元),私人企業貢獻了 14 億瑞士法郎。隨著製藥公司加大對藥物發現和開發的投入,對能夠深入了解蛋白質結構、功能和相互作用的先進工具的需求也日益成長。蛋白質體學使研究人員能夠識別和驗證潛在的藥物標靶,了解疾病途徑,並在分子層面評估藥物的療效和毒性。隨著標靶療法的開發,蛋白質體學對於檢測疾病特異性生物標記並相應地制定治療方案變得至關重要。此外,生物製劑和生物相似藥的普及進一步加劇了對精確蛋白質分析的需求。
人工智慧應用不斷成長
人工智慧的普及簡化了資料分析、提高了模式識別能力並加速了生物標記的發現。根據IMARC Group的數據,2024 年全球人工智慧市場規模價值 1,156.2 億美元。蛋白質體學會產生大量複雜的資料集,需要先進的計算工具才能準確解釋。人工智慧演算法(尤其是機器學習)有助於識別與特定疾病相關的細微蛋白質表現模式,從而實現更快、更精確的診斷和藥物開發。人工智慧還透過將蛋白質組學資料與其他生物資料集結合,增強了個人化醫療中的預測模型。這種技術協同作用縮短了研究時間,提高了學術和藥物研究的效率。此外,面向人工智慧的自動化可最大限度地減少人為錯誤並降低營運成本。隨著各組織將人工智慧整合到其蛋白質體學工作流程中,疾病檢測和治療方面的創新繼續快速發展。根據蛋白質體學市場報告,這種技術趨勢在塑造產業未來方面發揮著重要作用。
學術機構與生技公司之間的合作
學術機構與生物技術公司之間日益增多的聯盟,透過將研究創新與商業落地相結合,顯著促進了蛋白質組學市場的成長。學術機構提供深厚的科學知識和前沿發現,而生技公司則提供資源、基礎設施和專業知識,將這些發現轉化為市場應用。此類合作加速了新型蛋白質體學技術、診斷工具和療法的開發。合資企業有助於彌合基礎研究與實際臨床需求之間的差距,從而縮短創新週期。這些合作通常能夠吸引公共和私營部門的資金,從而支持大規模蛋白質體學研究和先進的生物標記識別。人才、設備和資料庫的共享,進一步增強了研究成果和商業潛力。
單細胞蛋白質體學的出現
單細胞蛋白質體學的出現使研究人員能夠在單一細胞層級分析蛋白質,從而深入了解細胞異質性和疾病機制。與對來自眾多細胞的訊號進行平均的批量分析不同,單細胞技術可以捕捉每個細胞獨特的蛋白質組學譜,從而更深入地了解細胞行為、免疫反應和癌症進展。這種粒度水平對於開發個人化醫療至關重要,因為它有助於識別與疾病相關的稀有細胞類型或亞群。高解析度質譜和微流體平台的日益普及,使得單細胞蛋白質體學更加可行且更具可擴展性。隨著研究人員和製藥公司擴大採用這種方法,它正在為生物標記發現和治療標靶開闢新的途徑。
NGS技術進步
NGS 的技術進步正在增強多組學整合,並拓展生物學洞察的深度。雖然 NGS 主要用於基因組和轉錄組分析,但其與蛋白質體學的協同作用使我們能夠更全面地了解細胞功能。研究人員可以將基因表現資料與蛋白質表現和修飾關聯起來,從而改善生物標記識別和疾病建模。單細胞測序和空間轉錄組學等創新技術正在實現組織內基因和蛋白質網路的高解析度映射。這些技術使得基於基因組背景設計蛋白質體學實驗變得更加容易,從而提高了準確性和相關性。 NGS 的廣泛應用也促進了數據驅動的研究策略,推動了對互補蛋白質體學工具的需求。隨著 NGS 平台的不斷發展,它們將繼續支持和拓展蛋白質體學市場的應用。
結構蛋白質體學關注蛋白質相互作用、結構和功能的詳細分析。該領域是研究疾病機制和藥物開發所必需的。先進的儀器和技術促進了該領域的發展,有助於高解析度結構理解。全球領先的研究機構和公司正在投資結構蛋白質體學,以開發創新的治療方案。
功能蛋白質體學致力於在生物學背景下識別蛋白質的相互作用和功能。該學科利用先進技術來研究蛋白質修飾、活性和網路的動態變化。在全球蛋白質體學市場中,功能性蛋白質體學在推動個人化醫療、藥物研發和疾病診斷領域的創新方面發揮著至關重要的作用。透過洞察蛋白質路徑和機制,它促進了標靶治療和生物標記識別的發展,從而顯著提高醫療的有效性和準確性。
蛋白質表現蛋白質體學研究細胞內蛋白質形成的定性和定量方面。它包括高通量技術,用於比較和分析不同治療或條件下的蛋白質表現量。在全球蛋白質體學市場前景中,該子領域對於理解疾病機制、識別生物標記和創新治療策略至關重要。能夠熟練地監測蛋白質表現在多種刺激下的變化,有助於開發更有效率、更個人化的醫療方案,並實現疾病的早期檢測。
核心蛋白質體學服務包括利用色譜和質譜等先進技術進行蛋白質鑑定、定量和分析。這些服務使研究人員能夠解析複雜的蛋白質相互作用和功能,從而簡化治療標靶、疾病機制和生物標記識別的探索。專業的資料採集、解析和樣品製備對於獲得準確的結果至關重要。
生物資訊軟體及相關服務為資料視覺化和分析提供了關鍵工具。這些服務包含用於蛋白質結構預測、序列比對和功能註釋的演算法。將生物資訊學與蛋白質組學結合,可以將原始資料重新配置為有意義的生物學見解,從而推動研究發展,並促進藥物開發和個人化醫療的進步。例如,2023年10月,高清空間蛋白質組學開發商Ionpath推出了方便用戶使用的生物資訊工具MIBIplus和MIBIsight,它們透過使用質譜法研究與免疫腫瘤學相關的各種蛋白質,提供可控的資料解釋。
蛋白質微陣列佔據主要市場佔有率
蛋白質微陣列在蛋白質體學市場展現出高通量平台的優勢,能夠同時分析大量蛋白質樣本。透過將蛋白質固定在固體表面,這些陣列能夠快速定量和檢測,促進全球蛋白質體學市場的治療開發、生物標記發現和診斷。例如,2024年2月,Infinity Bio公司推出了基於MIPSA技術的新技術,該技術利用蛋白質微陣列方法分析抗體-抗原結合。總部位於馬裡蘭州的PTX Capital和Blackbird BioVentures公司向Infinity Bio公司提供了400萬美元的資金用於開發這項技術,該技術能夠以高度程式化的方式生產大量蛋白質或胜肽陣列。它還有助於在單一反應中結合全長蛋白質和胜肽,使研究人員能夠研究抗體與完整蛋白質3D結構的相互作用,並收集作為抗體表位的特定胜肽序列的資訊。
蛋白質表現譜分析是一項關鍵技術,能夠定量和鑑定特定生物樣本中的蛋白質。該技術能夠對疾病機制和細胞功能進行有價值的分析,並透過定位與多種疾病相關的特定蛋白質標記物來促進個人化醫療和標靶治療的發展。
蛋白質體挖掘是一種包容性方法,它涵蓋對整個蛋白質組的系統性評估,以發現新的蛋白質並理解其功能。這種方法推動了藥物開發和生物標記發現的進步,並有助於深入了解眾多疾病的潛在治療標靶和生物學過程。
翻譯後修飾 (PTM) 分析針對蛋白質合成後的化學修飾。這些修飾極大地影響蛋白質的穩定性、功能和相互作用。在全球蛋白質體學市場中,PTM 分析有助於闡明複雜的調控機制,促進創新診斷和治療方法的發展。
研究機構主導市場
透過利用蛋白質體學資料,研究機構可以發現新的藥物標靶,闡明疾病機制,並促進有效治療方法的開發,從而推動生物技術和製藥領域的進步。例如,領先的蛋白質組學公司Olink Holding AB於2024年7月推出了其Olink認證服務提供者網路,該網路將代表全球的服務實驗室和合約研究組織(CRO)。
北美引領市場,佔據最大的蛋白質體學市場佔有率
該報告還對所有主要區域市場進行了全面分析,包括北美(美國和加拿大);歐洲(德國、法國、英國、義大利、西班牙、俄羅斯等);亞太地區(中國、日本、印度、韓國、澳洲、印尼等);拉丁美洲(巴西、墨西哥等);以及中東和非洲。報告指出,北美是最大的區域市場,佔據蛋白質體學市場收入的最大佔有率。
北美市場正在顯著成長,主要得益於研發投入的大幅增加以及醫療基礎設施的升級。此外,慢性病發病率的上升以及對個人化醫療的日益關注,也推動了市場的成長。此外,政府的大力支持和資金支持也促進了蛋白質體學技術在學術和臨床研究中的應用。例如,2023年9月,Multiomics CRO Psomagen在北美為10X Genomics Xenium推出了太空生物學服務。 Psomagen的Xenium服務整合了多種組學平台,包括蛋白質組學、基因組學和轉錄組學。
(請注意,這只是關鍵參與者的部分列表,完整列表在報告中提供。)
The global proteomics market size reached USD 41.5 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 139.4 Billion by 2033, exhibiting a growth rate (CAGR) of 13.68% during 2025-2033. North America currently dominates the market, driven by its robust research infrastructure and strong presence of pharmaceutical and biotech companies. The market is primarily driven by rapid technological advancements in mass spectrometry, increasing incidents of chronic diseases, and rapid shift towards personalized medicines. Moreover, increasing integration of machine learning (ML) and artificial intelligence (AI) are upgrading protein analysis and data interpretation.
The proteomics market is expanding due to the rise of single-cell proteomics, which offers deep insights into cellular heterogeneity, enabling more accurate disease modeling and therapeutic targeting. Collaborations between academic institutions and biotech companies are accelerating innovations, allowing quicker translation of research into practical diagnostic and therapeutic solutions. Technological advancements in mass spectrometry, protein microarrays, and NGS are also enhancing data accuracy, throughput, and cost-efficiency. Improved automation and miniaturization of proteomics instruments are refining efficiency, reducing sample volumes, and lowering operational costs. Moreover, the integration of proteomics with other omics platforms like genomics and metabolomics is enabling comprehensive biological analysis, further broadening its applications. Government funding, regulatory support for biomarker discovery, and increasing utilization of proteomics in agriculture and environmental monitoring are also contributing to the market growth.
Growing incidence of chronic and infectious diseases
High incidence of chronic and infectious ailments is significantly fueling the growth of the market. As conditions like cancer, diabetes, cardiovascular disorders, and infectious diseases are becoming more widespread, there is a rising need to understand disease mechanisms at the molecular level. As per the NIH, in 2024, it was anticipated that there would be 2,001,140 new cancer cases in the United States. Proteomics enables researchers and clinicians to identify disease-specific biomarkers, monitor disease progression, and develop targeted therapies. It also aids in early diagnosis, which is critical in managing chronic illnesses effectively. The demand for personalized medicine and precision treatment is further promoting the use of proteomics tools, as they allow a deeper analysis of protein interactions and functions.
Increasing pharmaceutical R&D activities
The growing pharmaceutical R&D activities are positively influencing the market. As stated in the Swiss Biotech Report 2025, R&D expenditure in Switzerland amounted to SFr2.6 Billion (USD 3.16 Billion) in 2024, with SFr1.4 Billion contributed by private companies. As pharmaceutical companies are wagering on drug discovery and development, there is a rising demand for advanced tools that can offer insights into protein structures, functions, and interactions. Proteomics enables researchers to identify and validate potential drug targets, understand disease pathways, and assess drug efficacy and toxicity at the molecular level. With a strong focus on developing targeted therapies, proteomics is becoming essential for detecting disease-specific biomarkers and tailoring treatments accordingly. Additionally, the adoption of biologics and biosimilars has further intensified the need for precise protein analysis.
Rising AI adoption
Increasing AI adoption is streamlining data analysis, improving pattern recognition, and accelerating biomarker discovery. As per the IMARC Group, the global AI market size was valued at USD 115.62 Billion in 2024. Proteomics generates massive, complex datasets that require advanced computational tools for accurate interpretation. AI algorithms, particularly ML, help identify subtle protein expression patterns linked to specific diseases, enabling faster and more precise diagnostics and drug development. AI also enhances predictive modeling in personalized medicine by integrating proteomic data with other biological datasets. This technological synergy reduces research timelines and boosts efficiency in both academic and pharmaceutical research. Furthermore, AI-oriented automation minimizes human error and lowers operational costs. As organizations are integrating AI into their proteomics workflows, innovations in disease detection and treatment continue to advance rapidly. According to the proteomics market report, this technological trend plays an important role in shaping the future of the industry.
Partnerships between academic institutes and biotech companies
Increasing alliances between academic institutes and biotech companies are significantly bolstering the proteomics market growth by combining research innovations with commercial execution. Academic institutions offer deep scientific knowledge and cutting-edge discoveries, while biotech firms provide resources, infrastructure, and expertise to translate these findings into market-ready applications. Such partnerships accelerate the development of novel proteomic technologies, diagnostic tools, and therapeutics. Joint ventures help bridge the gap between basic research and real-world clinical needs, leading to faster innovation cycles. These collaborations often attract funding from both public and private sectors, enabling large-scale proteomic studies and advanced biomarker identification. The shared access to talent, equipment, and databases is further strengthening research output and commercial potential.
Emergence of single-cell proteomics
The emergence of single-cell proteomics is allowing researchers to analyze proteins at an individual cell level, offering insights into cellular heterogeneity and disease mechanisms. Unlike bulk analysis, which averages signals from numerous cells, single-cell techniques capture the unique proteomic profile of each cell, enabling deeper understanding of cell behavior, immune responses, and cancer progression. This level of granularity is crucial for developing personalized medicine, as it helps identify rare cell types or subpopulations involved in disease. The growing utilization of high-resolution mass spectrometry and microfluidic platforms has made single-cell proteomics more feasible and scalable. As researchers and pharmaceutical companies are adopting this approach, it is opening new avenues for biomarker discovery and therapeutic targeting.
Technological advancements in NGS
Technological advancements in NGS are enhancing multi-omics integration and expanding the depth of biological insights. While NGS is primarily used for genomic and transcriptomic analysis, its synergy with proteomics allows a more complete understanding of cellular function. Researchers can correlate gene expression data with protein expression and modifications, leading to improved biomarker identification and disease modeling. Innovations, such as single-cell sequencing and spatial transcriptomics, are enabling high-resolution mapping of gene and protein networks within tissues. These technologies make it easier to design proteomic experiments informed by genomic context, enhancing accuracy and relevance. The widespread availability of NGS also fosters data-driven research strategies, driving the demand for complementary proteomics tools. As NGS platforms are evolving, they continue to support and broaden applications in the proteomics market.
Structural proteomics is concerned with detailed analysis of protein interactions, structures, and functions. This field is required for studying disease mechanism and drug development. Advanced instruments and techniques boost growth, facilitating high-resolution structural comprehensions. Leading research institutions and companies are globally investing in structural proteomics to develop innovative therapeutic solutions.
Functional proteomics emphasizes on recognizing protein interactions and functions within a biological context. This discipline leverages advanced techniques to examine the dynamics of protein modifications, activities, and networks. In the global proteomics market, functional proteomics plays a crucial role by spurring innovations in personalized medicine, drug discovery, and disease diagnostics. By offering discernments into protein pathways and mechanisms, it encourages the development of targeted therapies and biomarker identification, substantially improving the efficacy and accuracy of medical treatments.
Protein expression proteomics examines the qualitative and quantitative aspects of protein formation within cells. It includes high-throughput techniques to compare and profile protein expression levels across various treatments or conditions. In the global proteomics market outlook, this subfield is pivotal for comprehending disease mechanisms, identifying biomarkers, and innovating novel therapeutic strategies. The proficiency of monitoring protein expression changes in response to numerous stimuli facilitates the development of enhanced and effective personalized medical initiatives and early detection of diseases.
Core proteomics services include the protein identification, quantification, and analysis by leveraging advanced techniques such as chromatography and mass spectrometry. These services permit researchers to interpret complex protein interactions and functions, streamlining discoveries in therapeutic targets, disease mechanisms, and biomarker identification. Specialization in data acquisition, interpretation, and sample preparation is crucial for accurate results.
Bioinformatics software and related services provide crucial tools for data visualization and analysis. These services feature algorithms for protein structural prediction, sequence alignment, and functional annotation. Incorporating bioinformatics with proteomics propels research by reconfiguring raw data into meaningful biological insights, endorsing advancements in drug development and personalized medicine. For instance, in October 2023, Ionpath, a high-definition spatial proteomics developer, launched user-friendly bioinformatics tools named MIBIplus and MIBIsight that offers controlled data interpretation by using mass spectrometry to study various proteins associated with immune-oncology.
Protein microarrays represent the leading market segment
Protein microarrays demonstrate a high-throughput platform in proteomics market, allowing simultaneous analysis of numerous protein samples. By immobilizing proteins on solid surfaces, these arrays foster rapid quantification and detection, promoting therapeutic development, biomarker discovery and diagnostics within the global proteomics market. For instance, in February 2024, Infinity Bio launched new technology, based on MIPSA technology, that leverages protein microarray method to analyze antibody-antigen binding. Maryland-based PTX Capital and Blackbird BioVentures granted USD 4 million fund to Infinity for the development of this technology, allowing the production of large arrays of proteins or peptides in a highly programmed manner. It also aids in combining full-length proteins and peptides in a single reaction, which allows researchers to study antibodies interaction with the 3D structure of full proteins and collect information on the specific peptide sequences that function as antibody epitopes.
Protein expression profiling is a pivotal technique permitting the quantification and identification of proteins within a specific biological sample. This process offers valuable analysis of disease mechanisms and cellular functions, promoting the development of personalized medicine and targeted therapeutics by locating specific protein markers associated with numerous conditions.
Proteome mining is an inclusive approach that encompasses the systematic assessment of the entire proteome to discover novel proteins and apprehend their functions. This method propels advancements in drug development and biomarker discovery, presenting an in-depth understanding of potential therapeutic targets and biological processes for numerous diseases.
Post-translational modification (PTM) analysis targets the chemical modifications post the synthesis of proteins. These modifications greatly influence protein stability, function, and interactions. In the global proteomics market, PTM analysis aids in elucidating complex regulatory mechanisms, promoting the development of innovative diagnostics and treatments.
Research organizations dominate the market
By utilizing proteomic data, research organizations uncover new drug targets, expound disease mechanisms, and boost the development of effective treatments, consequently spurring advancements in biotechnological and pharmaceutical sectors. For instance, in July 2024, Olink Holding AB, a leading proteomics company, launched its network of Olink Certified Service Providers that will represent service labs and contract research organization (CROs) worldwide.
North America leads the market, accounting for the largest proteomics market share
The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America represents the largest regional market, holding the largest share of the proteomics market revenue.
The market in North America is undergoing notable growth, principally driven by significant investments in research and development, and upgraded healthcare infrastructure. Furthermore, the increasing incidents of chronic diseases and intensifying focus on personalized medicine is boosting the market growth. In additional, robust support by government and funding initiatives escalate the utilization of proteomics technology in academic and clinical research. For instance, in September 2023, Multiomics CRO Psomagen launched its Spatial Biology services for 10X Genomics Xenium in North America. Psomagen's Xenium Service integrates various omics platforms, including proteomics, genomics, and transcriptomics.
(Please note that this is only a partial list of the key players, and the complete list is provided in the report.)