단백질 시퀀싱 세계 시장 규모는 2024년에 15억 6,000만 달러로 예측 기간 중 CAGR은 8.46%를 나타낼 전망이며, 2030년에는 25억 4,000만 달러에 달할 것으로 예측되고 있습니다.
이 시장은 맞춤형 의료로의 전환이라는 수요 증가가 세계 단백질 시퀀싱 시장의 주요 촉진요인 중 하나가 되고 있습니다. 단백질 시퀀싱는 특정 바이오마커, 단백질, 질환 경로의 특정에 필수적인 것이 되고 있습니다.
| 시장 개요 | |
|---|---|
| 예측 기간 | 2026-2030 |
| 시장 규모 : 2024년 | 15억 6,000만 달러 |
| 시장 규모 : 2030년 | 25억 4,000만 달러 |
| CAGR : 2025-2030년 | 8.46% |
| 급성장 부문 | 단백질 시퀀싱 서비스 |
| 최대 시장 | 북미 |
정밀의료에 대한 수요 증가
단백질 시퀀싱 기술의 발전
높은 비용과 기술적 복잡성
데이터 분석 및 표준화 문제
인공지능 및 머신러닝과의 통합 증가
임상 및 의약품 응용의 성장
Global Protein Sequencing Market was valued at USD 1.56 Billion in 2024 and is expected to reach USD 2.54 Billion by 2030 with a CAGR of 8.46% during the forecast period. The market is driven by growing demand the shift toward personalized medicine is one of the key drivers of the global protein sequencing market. Personalized medicine tailors medical treatment to individual genetic profiles, lifestyle, and environmental factors, making protein sequencing essential for the identification of specific biomarkers, proteins, and disease pathways.
| Market Overview | |
|---|---|
| Forecast Period | 2026-2030 |
| Market Size 2024 | USD 1.56 Billion |
| Market Size 2030 | USD 2.54 Billion |
| CAGR 2025-2030 | 8.46% |
| Fastest Growing Segment | Protein Sequencing Services |
| Largest Market | North America |
Key Market Drivers
Increasing Demand for Precision Medicine
The growing demand for precision medicine is one of the key drivers for the global protein sequencing market. Precision medicine involves tailoring medical treatment to individual characteristics, such as genetics, environment, and lifestyle. Protein sequencing plays a crucial role in this paradigm shift by enabling the identification and characterization of specific proteins and biomarkers associated with diseases, which allows for more accurate and personalized treatment strategies.
Advances in protein sequencing technologies are helping researchers identify disease-related proteins, providing insights into their functions and interactions in the human body. As these technologies become more advanced and cost-effective, they enable faster and more accurate protein profiling, which is essential for developing precision medicines. This has led to an increased focus on understanding protein structures and their role in diseases like cancer, neurological disorders, and cardiovascular diseases. Consequently, the demand for high-throughput, precise, and scalable protein sequencing methods is growing. The rise of personalized therapies, combined with innovations in sequencing technologies like next-generation sequencing (NGS), is expected to drive significant market expansion in the coming years.
In April 2018, the FDA issued two final guidances that recommend approaches to streamline the submission and review of data supporting the clinical and analytical validity of NGS-based tests. These recommendations are intended to provide an efficient and flexible regulatory oversight approach: as technology advances, standards can rapidly evolve and be used to set appropriate metrics for fast growing fields such as NGS.
Advancements in Protein Sequencing Technologies
Technological advancements in protein sequencing techniques are another significant driver. Innovations such as mass spectrometry (MS), next-generation sequencing (NGS), and protein microarrays have enhanced the ability to identify and analyze proteins with greater precision and sensitivity. These technologies offer high-throughput capabilities, making large-scale proteomic studies more feasible and cost-effective. The continuous improvement in resolution, sensitivity, and automation is driving the market's expansion by providing researchers and clinicians with the tools necessary to understand the complexities of proteins and their role in various diseases. This has led to a surge in research and development in proteomics, further boosting the demand for advanced protein sequencing solutions.
Key Market Challenges
High Cost and Technical Complexity
One of the main challenges facing the protein sequencing market is the high cost and technical complexity of existing sequencing technologies. Instruments like mass spectrometers and next-generation sequencers require significant investment, both for purchase and maintenance. Additionally, these technologies require highly trained personnel to operate and interpret the results, further increasing the costs for laboratories and healthcare providers. The cost of reagents and consumables also adds to the financial burden. For smaller laboratories, academic institutions, and emerging markets, these factors can hinder the widespread adoption of protein sequencing technologies. Overcoming this challenge requires continued innovation to drive down costs and increase the accessibility of these tools to a broader range of users.
Data Interpretation and Standardization Issues
Another significant challenge is the complexity of data interpretation and the lack of standardized methods in protein sequencing. Unlike genetic sequencing, protein sequences are subject to dynamic changes due to modifications such as phosphorylation, glycosylation, and acetylation. Analyzing these modifications and understanding their implications requires sophisticated software and computational tools. Furthermore, the data generated from protein sequencing are often vast and complex, making it difficult to extract meaningful insights without advanced bioinformatics expertise. Additionally, the absence of universally accepted standards for protein sequencing methodologies and data reporting can lead to inconsistencies, complicating the validation and reproducibility of results. Addressing these challenges requires the development of more standardized protocols and robust data analysis tools to ensure accuracy and consistency across studies.
Key Market Trends
Increasing Integration with Artificial Intelligence and Machine Learning
Artificial intelligence (AI) and machine learning (ML) are increasingly being integrated into protein sequencing technologies to enhance data analysis and interpretation. AI algorithms can help identify patterns in protein data, optimize experimental workflows, and predict protein structures and functions with higher accuracy. Machine learning models are particularly useful in large-scale proteomic studies where vast amounts of data are generated. These advanced computational techniques are enabling faster insights, reducing human error, and facilitating the discovery of new biomarkers or therapeutic targets. As these technologies continue to evolve, their integration into protein sequencing workflows is expected to become more widespread, making the analysis more efficient and enabling more personalized therapeutic strategies.
Growth in Clinical and Pharmaceutical Applications
The protein sequencing market is witnessing a growing trend in clinical and pharmaceutical applications. Pharmaceutical companies are increasingly using protein sequencing to identify disease biomarkers, understand drug mechanisms, and discover new therapeutic targets. Protein sequencing is also becoming critical in drug development pipelines, helping researchers identify protein targets for novel therapies. Clinical applications are particularly important in oncology, where protein sequencing is used to uncover potential biomarkers for cancer detection, prognosis, and treatment response. The rising focus on biologic drugs and personalized medicine is driving this trend, and as regulatory bodies approve more precision-based treatments, the demand for protein sequencing in clinical and pharmaceutical sectors will continue to expand.
Segmental Insights
Product & Service Insights
Based on the product & service, the protein sequencing product category held the largest market share during the forecast period. This growth is primarily driven by the increasing demand for advanced technologies that offer precise, high-throughput, and reliable protein analysis, which are crucial for various applications in research, clinical diagnostics, and drug development.
Key products driving this market segment include mass spectrometers, next-generation sequencing (NGS) platforms, and proteomics software. Mass spectrometry, in particular, has emerged as a key technology in protein sequencing, offering the ability to identify, quantify, and characterize proteins and their modifications with high sensitivity and accuracy. The integration of sophisticated software for data analysis further enhances the usability of these platforms, enabling researchers to make sense of complex protein data.
The growing prevalence of chronic diseases, including cancer, neurological disorders, and cardiovascular diseases, is pushing for advanced diagnostic tools, which is significantly boosting the demand for protein sequencing products. Additionally, the rise of personalized medicine and the need for targeted therapies also contribute to the increasing adoption of protein sequencing technologies. As more pharmaceutical companies, academic institutions, and clinical research organizations adopt these products for biomarker discovery, drug development, and disease understanding, the protein sequencing product category is expected to maintain its dominant share throughout the forecast period.
According to WHO report published in 2024, Noncommunicable diseases (NCDs) killed at least 43 million people in 2021, equivalent to 75% of non-pandemic-related deaths globally. In 2021, 18 million people died from an NCD before age 70 years; 82% of these premature deaths occur in low- and middle-income countries.
Regional Insights
North America was dominating the Protein Sequencing Market in 2024. This dominance can be attributed to several factors, including the presence of major market players, substantial investments in research and development (R&D), and the growing emphasis on personalized medicine and advanced diagnostics in the region.
The United States, in particular, is a leader in the protein sequencing market due to its strong healthcare infrastructure, well-established pharmaceutical industry, and government initiatives supporting innovation in biomedical research. The U.S. is home to numerous research institutions, biotech companies, and healthcare providers that heavily invest in proteomics and protein sequencing technologies for various applications, including drug discovery, cancer research, and genetic studies.
Furthermore, North America benefits from early adoption of cutting-edge technologies like mass spectrometry, next-generation sequencing (NGS), and artificial intelligence (AI) for protein data analysis. The region also has a favorable regulatory environment, with regulatory agencies such as the FDA facilitating the approval of novel protein-based diagnostic tools and therapies, which supports market growth.
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 presents 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: