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空间蛋白质体学市场 - 全球产业规模、份额、趋势、机会和预测，按产品、技术、工作流程、样本类型、最终用途、地区和竞争细分，2020-2030F

Spatial Proteomics Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Product, By Technology, By Workflow, By Sample Type, By End Use, By Region and Competition, 2020-2030F
出版日期: | 出版商: TechSci Research | 英文 182 Pages | 商品交期: 2-3个工作天内

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简介目录

2024 年全球空间蛋白质体学市场价值为 9,240 万美元，预计到 2030 年将达到 1.8925 亿美元，预测期内复合年增长率为 12.65%。受技术进步和对精确生物学洞察日益增长的需求的推动，全球太空蛋白质组学市场正在经历快速成长。空间蛋白质体学能够绘製组织样本内的蛋白质表现图，提供有关细胞定位和相互作用的宝贵资讯。这种方法对于了解疾病机制至关重要，特别是在肿瘤学、神经退化性疾病和免疫学方面。推动市场成长的关键因素包括高解析度成像技术的整合、质谱技术的进步以及资料分析中的人工智慧。随着製药和生物技术公司专注于精准医疗，太空蛋白质体学在识别生物标记和治疗标靶方面发挥关键作用。然而，成本高、技术复杂、标准化有限等挑战仍然存在。儘管如此，在持续研究和创新的推动下，市场预计仍将大幅扩张。

市场概况
预测期 2026-2030
2024 年市场规模 9,240 万美元
2030 年市场规模 1.8925亿美元
2025-2030 年复合年增长率 12.65％
成长最快的领域 仪器
最大的市场 北美洲

主要市场驱动因素

质谱技术的进步

精准医疗需求不断成长

与成像平台的技术集成

增加对生命科学研究的投资

慢性病盛行率上升

主要市场挑战

成本高且难以取得

技术复杂性与缺乏标准化

主要市场趋势

扩大药物研发的应用

数据分析和人工智慧整合的进步

分段洞察

产品洞察

最终用途洞察

区域洞察

目录

第 1 章：产品概述

第 2 章：研究方法

第 3 章：执行摘要

第 4 章：顾客之声

第五章：全球空间蛋白质体学市场展望

  • 市场规模和预测
    • 按价值
  • 市场占有率和预测
    • 按产品（仪器、耗材和软体）
    • 依技术分类（基于影像的技术、基于质谱的技术、基于定序的技术等）
    • 依工作流程（样品製备、仪器分析和数据分析）
    • 按样本类型（FFPE 和新鲜冷冻）
    • 依最终用途（学术及转化研究机构、製药及生物技术公司及其他）
    • 按地区
    • 按公司分类（2024）
  • 市场地图

第 6 章：北美空间蛋白质体学市场展望

  • 市场规模和预测
    • 按价值
  • 市场占有率和预测
    • 按产品
    • 依技术分类
    • 按工作流程
    • 依样本类型
    • 按最终用途
    • 按国家
  • 北美：国家分析
    • 美国
    • 加拿大
    • 墨西哥

第 7 章：欧洲空间蛋白质体学市场展望

  • 市场规模和预测
    • 按价值
  • 市场占有率和预测
    • 按产品
    • 依技术分类
    • 按工作流程
    • 依样本类型
    • 按最终用途
    • 按国家
  • 欧洲：国家分析
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙

第 8 章：亚太空间蛋白质体学市场展望

  • 市场规模和预测
    • 按价值
  • 市场占有率和预测
    • 按产品
    • 依技术分类
    • 按工作流程
    • 依样本类型
    • 按最终用途
    • 按国家
  • 亚太地区：国家分析
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳洲

第 9 章：南美洲空间蛋白质体学市场展望

  • 市场规模和预测
    • 按价值
  • 市场占有率和预测
    • 按产品
    • 依技术分类
    • 按工作流程
    • 依样本类型
    • 按最终用途
    • 按国家
  • 南美洲：国家分析
    • 巴西
    • 阿根廷
    • 哥伦比亚

第 10 章：中东和非洲太空蛋白质体学市场展望

  • 市场规模和预测
    • 按价值
  • 市场占有率和预测
    • 按产品
    • 依技术分类
    • 按工作流程
    • 依样本类型
    • 按最终用途
    • 按国家
  • MEA：国家分析
    • 南非
    • 沙乌地阿拉伯
    • 阿联酋

第 11 章：市场动态

  • 驱动程式
  • 挑战

第 12 章：市场趋势与发展

  • 合併与收购（如有）
  • 产品发布（如果有）
  • 最新动态

第 13 章：波特五力分析

  • 产业竞争
  • 新进入者的潜力
  • 供应商的力量
  • 顾客的力量
  • 替代产品的威胁

第 14 章：竞争格局

  • 10x Genomics, Inc.
  • Bruker Corporation
  • Standard BioTools Inc.
  • Bruker Spatial Biology, Inc.
  • Akoya Biosciences, Inc.
  • PerkinElmer, Inc.
  • Danaher Corporation
  • Bio-Techne Corporation
  • S2 Genomics, Inc.
  • Seven Bridges Genomics Inc.

第 15 章：策略建议

第16章 调査会社について・免责事项

简介目录
Product Code: 27374

Global Spatial Proteomics Market was valued at USD 92.40 Million in 2024 and is expected to reach USD 189.25 Million by 2030 with a CAGR of 12.65% during the forecast period. The global spatial proteomics market is experiencing rapid growth, driven by advancements in technology and the increasing demand for precise biological insights. Spatial proteomics enables the mapping of protein expressions within tissue samples, offering invaluable information about cellular localization and interactions. This approach is essential for understanding disease mechanisms, particularly in oncology, neurodegenerative diseases, and immunology. Key factors fueling market growth include the integration of high-resolution imaging techniques, mass spectrometry advancements, and artificial intelligence in data analysis. As pharmaceutical and biotechnology companies focus on precision medicine, spatial proteomics plays a critical role in identifying biomarkers and therapeutic targets. However, challenges such as high costs, technical complexities, and limited standardization remain. Despite this, the market is expected to expand significantly, driven by ongoing research and innovation.

Market Overview
Forecast Period2026-2030
Market Size 2024USD 92.40 Million
Market Size 2030USD 189.25 Million
CAGR 2025-203012.65%
Fastest Growing SegmentInstruments
Largest MarketNorth America

Key Market Drivers

Advancements in Mass Spectrometry Technologies

Mass spectrometry (MS) technologies are at the heart of spatial proteomics, playing a critical role in protein identification and quantification within tissue samples. Over recent years, the continuous advancements in mass spectrometry have had a transformative impact on the spatial proteomics market, enabling deeper, more precise, and high-resolution analysis of complex biological samples. These advancements include improvements in both sensitivity and specificity, allowing researchers to detect even low-abundance proteins that were previously challenging to identify. In September 2024, A research team at Brown University has created a new technique for transferring ions for mass spectrometry through a tiny capillary, with an opening approximately 1,000 times smaller than the width of a human hair. Known as a nanopore ion source, this breakthrough addresses a significant challenge in the field and could revolutionize mass spectrometry technology. The team details this innovative development in Nature Communications.

One of the most notable advancements in MS technologies is the development of high-resolution tandem mass spectrometry. This innovation improves the resolution and accuracy of protein identification by using multiple stages of mass spectrometry to analyze complex protein mixtures in fine detail. Ion mobility spectrometry has gained prominence, allowing for better separation of ions in space and time, which enhances the overall analysis of large proteomic datasets.

New ionization techniques, such as matrix-assisted laser desorption/ionization (MALDI), enable more efficient protein ionization, which is essential for spatial proteomics. Another critical advancement is the development of laser capture microdissection (LCM), which allows researchers to isolate specific tissue regions and analyze them individually, reducing contamination from other areas. Together, these innovations provide researchers with the ability to map proteins with incredible accuracy and resolution, leading to a deeper understanding of how proteins interact within their natural cellular environment.

The ability to analyze protein distribution in spatial contexts has opened new avenues for studying diseases such as cancer and neurodegenerative disorders, where understanding the localization of proteins within tissue samples is key to unraveling disease mechanisms. As MS technologies continue to improve, the spatial proteomics market is expected to see even more breakthroughs in the identification and analysis of proteins, further driving the growth of the sector.

Growing Demand for Precision Medicine

The increasing focus on precision medicine-a personalized approach to medical treatment that tailors interventions based on individual genetic, environmental, and lifestyle factors-is a major driver of the spatial proteomics market. By providing detailed insights into protein expression and localization within specific tissues, spatial proteomics can offer invaluable data that supports the development of personalized therapeutic strategies.

Precision medicine in oncology, for example, benefits from spatial proteomics as it enables researchers and clinicians to understand how specific proteins are distributed within tumors. This spatial mapping allows for a more precise assessment of how a patient's tumor interacts with surrounding tissues, providing insights into tumor heterogeneity and potential therapeutic resistance. By identifying specific protein biomarkers in cancerous tissue, spatial proteomics supports the creation of highly targeted therapies aimed at selectively interacting with these proteins, minimizing side effects, and improving patient outcomes.

Beyond oncology, spatial proteomics is being integrated into research for other diseases such as neurodegenerative conditions like Alzheimer's and Parkinson's. Understanding how proteins localize and interact within the brain and nervous tissue is crucial to understanding the underlying causes and progression of these disorders. For instance, identifying how proteins aggregate or misfold in specific regions of the brain can lead to the development of therapies that slow or stop disease progression.

As precision medicine continues to gain traction globally, particularly in oncology and rare genetic diseases, spatial proteomics is expected to play an increasingly significant role. The ability to map proteins and understand their roles in disease at a cellular level will enhance the development of precision therapies, further expanding the demand for spatial proteomics solutions.

Technological Integration with Imaging Platforms

The convergence of spatial proteomics with advanced imaging technologies such as high-resolution microscopy, multiplex immunohistochemistry (IHC), and super-resolution imaging has revolutionized how proteins are studied in their native tissue environments. This integration allows for the visualization of proteins at a cellular and sub-cellular level, enabling researchers to observe protein distribution and interactions in real-time, within the context of the surrounding tissue architecture. In February 2023, Curio Bioscience introduced Curio Seeker, the first high-resolution, whole-transcriptome spatial mapping kit, marking the beginning of the company's business operations.

Techniques like confocal microscopy and fluorescence resonance energy transfer (FRET) are widely used in conjunction with proteomics to provide 3D images of proteins in tissues, revealing how these proteins interact with one another and how their localization changes in response to various conditions, including disease. Super-resolution microscopy, which exceeds the diffraction limit of light, allows for imaging at nanometer scales, making it possible to visualize even the smallest protein complexes and understand how they contribute to cellular processes.

The integration of imaging with spatial proteomics provides a powerful combination of high-throughput molecular data and detailed visual context. For example, the use of multiplex IHC allows researchers to study the expression of multiple proteins simultaneously in a single tissue section, thus providing insights into complex protein networks and their roles in disease processes. This integration has accelerated the understanding of protein localization in various diseases, including cancers and neurodegenerative conditions, where tissue architecture plays a crucial role in disease progression.

As imaging techniques continue to evolve and provide greater resolution, the accuracy of spatial proteomics will improve, leading to better-targeted therapies and earlier disease detection. This growing synergy between proteomics and imaging technologies is helping to create a more comprehensive understanding of cellular biology and disease mechanisms, further boosting the adoption of spatial proteomics solutions.

Increasing Investment in Life Sciences Research

The increased investment in life sciences research, particularly in proteomics and biomedical sciences, has been a critical driver for the growth of the spatial proteomics market. Governments, academic institutions, and private organizations are allocating substantial resources to support scientific advancements that can lead to new treatments and breakthroughs in understanding human biology and diseases. Research funding is particularly focused on areas such as oncology, immunology, and neurodegenerative diseases, where the need for innovative solutions is high. In January 2025, Nashville Biosciences LLC (NashBio), a prominent company specializing in real-world, multi-omics data, today unveiled the launch of several next-generation real-world data (RWD) solutions. These include a new research platform and therapeutic area collections, set to roll out over the next six months. These innovations will provide unparalleled access to deidentified electronic health record (EHR) data and linked genomic information, enabling life science researchers, pharmaceutical companies, and biotech innovators to gain actionable insights, expedite therapeutic discoveries, enhance equitable healthcare outcomes, and address critical data gaps in precision medicine.

Spatial proteomics is increasingly being recognized as a vital tool in disease research, particularly because it provides insights into the protein-level changes in tissues that cannot be captured through traditional methods. With the complexity of diseases like cancer, where tumor microenvironments and heterogeneity play pivotal roles in disease progression, spatial proteomics allows researchers to map proteins in ways that were previously impossible. The ability to identify protein biomarkers that indicate disease states or predict therapeutic responses is a crucial element in drug discovery and development, leading to the allocation of more funds for this technology.

Private sector investment, especially from biotechnology and pharmaceutical companies, is also propelling the spatial proteomics market forward. Pharmaceutical companies are integrating spatial proteomics in drug discovery to better understand how drugs interact with cellular environments and pinpoint targets for new therapies. As the importance of proteomics in advancing medical research becomes more widely recognized, both public and private investments are expected to continue to drive the growth of spatial proteomics.

Rising Prevalence of Chronic Diseases

The growing prevalence of chronic diseases, particularly cancer, cardiovascular diseases, and neurodegenerative disorders, is a significant driver for the spatial proteomics market. Chronic diseases often involve complex molecular and cellular changes, making it difficult to fully understand their underlying mechanisms using traditional diagnostic tools. Spatial proteomics offers a unique advantage by allowing for the examination of protein expression and localization at a highly detailed level, providing crucial insights into how these diseases develop and progress over time. According to WHO, in 2021, noncommunicable diseases (NCDs) were responsible for at least 43 million deaths, accounting for 75% of all non-pandemic-related fatalities worldwide. Of these, 18 million individuals died from an NCD before reaching the age of 70, with 82% of these premature deaths occurring in low- and middle-income countries. Overall, 73% of all NCD-related deaths were in these regions. Cardiovascular diseases were the leading cause of NCD deaths, contributing to at least 19 million fatalities in 2021, followed by cancers with 10 million deaths, chronic respiratory diseases with 4 million, and diabetes-related deaths (including those caused by kidney disease) exceeding 2 million.

In oncology, spatial proteomics is used to study the tumor microenvironment, where the interactions between tumor cells and surrounding tissues can influence disease outcomes. By mapping how specific proteins are distributed in cancerous tissue, spatial proteomics can identify key biomarkers for diagnosis, prognosis, and therapeutic response. This information is crucial for developing personalized treatment plans that target these specific proteins, potentially leading to better outcomes for patients.

For neurodegenerative diseases like Alzheimer's and Parkinson's, spatial proteomics is invaluable in understanding how proteins misfold, aggregate, and localize within neural tissues. This provides insights into the pathological processes that drive these diseases and may lead to the development of targeted therapies that can prevent or slow disease progression.

As the global burden of chronic diseases continues to rise, the demand for advanced diagnostic and therapeutic solutions will continue to fuel the growth of spatial proteomics. The ability to understand disease mechanisms at the molecular level will help improve patient care and lead to the development of more effective treatments.

Key Market Challenges

High Costs and Accessibility

One of the primary challenges facing the spatial proteomics market is the high cost associated with the technology and equipment required for analysis. Instruments like high-resolution mass spectrometers, advanced imaging systems, and the necessary software for data analysis can be prohibitively expensive, particularly for smaller research institutions or in emerging markets. The costs involved in acquiring and maintaining these advanced tools make spatial proteomics less accessible for many academic and clinical labs, which could limit its widespread adoption. The complexity of the technologies also requires highly specialized training, further increasing the operational costs and limiting accessibility to a broader pool of researchers and healthcare providers.

In addition, the high cost of reagents, tissue preparation, and sample processing can add to the overall expense of conducting spatial proteomics studies. As a result, the technology is often reserved for large pharmaceutical companies or well-funded research institutions, creating a disparity in its availability across different regions and sectors. For the market to grow inclusively, there will need to be advancements in cost-effective solutions that make spatial proteomics more accessible to a wider audience.

Technical Complexity and Lack of Standardization

Spatial proteomics is a highly technical and complex field, and the lack of standardized protocols for experiments, data collection, and analysis poses a significant challenge. The workflows involved in spatial proteomics, which include sample preparation, imaging, and mass spectrometry, can vary significantly from one study to another, leading to inconsistencies in data quality and results. The absence of standardized procedures can create challenges in comparing results across different laboratories and research studies, ultimately hindering reproducibility and slowing down the validation of findings.

The integration of various technologies-such as mass spectrometry, high-resolution imaging, and data analysis tools-requires specialized expertise. Researchers must be proficient in handling each step of the process, which makes the learning curve steep and slows the adoption of spatial proteomics. Standardizing protocols and creating universal best practices for conducting spatial proteomics experiments will be crucial to overcoming these technical challenges and ensuring the field's continued growth.

Key Market Trends

Expanding Applications in Drug Discovery and Development

The use of spatial proteomics in drug discovery and development is rapidly expanding, with pharmaceutical companies increasingly turning to this technology to identify new drug targets, validate therapeutic candidates, and understand drug mechanisms of action. Traditional drug discovery methods have focused primarily on individual proteins or genetic pathways, but spatial proteomics provides a more holistic view of how proteins interact and function within tissues, enabling researchers to identify novel therapeutic targets that may have been overlooked in traditional assays.

Spatial proteomics plays a particularly critical role in the validation of drug targets. By analyzing the spatial distribution of target proteins within tissue samples, researchers can gain insights into how drugs might affect the local environment. This information helps in assessing drug efficacy and safety early in the drug development process. By studying the effects of drugs on protein localization, researchers can identify potential off-target effects, which is crucial for minimizing adverse side effects in clinical trials.

As pharmaceutical companies aim to reduce the time and cost associated with drug development, spatial proteomics is helping streamline the process by providing more precise, actionable data. By integrating spatial proteomics into the drug discovery pipeline, companies can accelerate the development of more effective, targeted therapies, driving the continued growth of the market.

Advancements in Data Analytics & AI Integration

The integration of artificial intelligence (AI) and machine learning (ML) with spatial proteomics is a transformative development that is expanding the capabilities of this technology. The sheer volume of data generated in spatial proteomics experiments can be overwhelming, and AI-driven tools are increasingly being used to manage, analyze, and interpret complex proteomic datasets. Machine learning algorithms are capable of identifying patterns and making predictions based on vast amounts of data, providing researchers with deeper insights into protein localization, interactions, and functional roles within cells and tissues.

AI integration helps improve the accuracy of protein localization predictions, enabling researchers to map protein distributions in tissue sections with greater precision. These tools can also enhance the identification of protein biomarkers linked to diseases, allowing for better diagnostic capabilities and therapeutic development. AI and ML technologies are helping automate many aspects of data analysis, reducing the time and effort required to extract meaningful insights from large datasets.

As AI technologies continue to evolve and improve, they will become even more critical in transforming the spatial proteomics landscape. The combination of cutting-edge proteomics techniques and advanced AI analytics will significantly increase the speed and accuracy of research findings, accelerating the development of new therapeutics and diagnostic tools. The integration of AI will continue to drive innovation in spatial proteomics, ensuring its continued growth and adoption in the future.

Segmental Insights

Product Insights

Based on the product, instruments are currently dominating the market. The instruments used in spatial proteomics, such as mass spectrometers, imaging platforms, and high-resolution microscopes, are the backbone of proteomic analysis. These tools enable researchers to identify, quantify, and map proteins within their native tissue environments with high precision, providing critical insights into biological processes, disease mechanisms, and therapeutic targets. The growth of this segment is driven by the demand for advanced technological solutions that allow researchers to study protein localization and interactions in unprecedented detail. Mass spectrometry (MS) is one of the most important instruments in spatial proteomics. With recent advancements in MS technology, the ability to identify and quantify proteins at extremely low concentrations has greatly improved. The introduction of high-resolution mass spectrometers, such as tandem MS and ion mobility spectrometry, has significantly expanded the scope of spatial proteomics, enabling researchers to conduct more detailed and comprehensive proteomic analyses. Mass spectrometry, in combination with laser capture microdissection (LCM), facilitates the isolation of specific tissue regions for analysis, allowing for a more targeted approach to studying protein distribution and function.

Another crucial instrument in the spatial proteomics market is imaging platforms. Technologies like confocal microscopy, super-resolution microscopy, and multiplex immunohistochemistry have revolutionized the way proteins are studied in situ. These advanced imaging techniques enable high-resolution, 3D visualization of proteins in tissue samples, providing insights into how proteins interact in their natural cellular environments. Super-resolution microscopy, in particular, has broken the diffraction limit of light, enabling the visualization of protein structures at the nanometer scale. This ability to map proteins within the precise architecture of tissue is invaluable for understanding complex biological processes and disease progression, particularly in fields such as cancer, neurodegenerative diseases, and immunology.

End Use Insights

Based on the end use segment, pharmaceutical and biotechnology companies are currently dominating the market. These companies are leading the adoption of spatial proteomics technologies due to their focus on drug discovery, personalized medicine, and therapeutic development. The ability to map protein localization and interactions within tissue samples provides pharmaceutical and biotechnology companies with a powerful tool for advancing their research and development (R&D) efforts, ultimately leading to the development of more targeted and effective therapies.

Spatial proteomics enables pharmaceutical and biotechnology companies to gain a more detailed understanding of the molecular mechanisms underlying diseases. This level of insight is particularly valuable in areas such as oncology, immunology, and neurology, where the spatial arrangement and function of proteins within tissue samples can provide crucial information for disease understanding, biomarker discovery, and therapeutic development. For instance, in oncology, spatial proteomics helps identify the distribution of key proteins within tumor microenvironments, offering insights into tumor heterogeneity, immune response, and potential drug resistance. This allows for the development of more precise, targeted therapies that are tailored to the specific molecular profiles of tumors, ultimately improving patient outcomes.

Regional Insights

North America is currently the dominant region. The region leads in terms of market share, driven by several factors including substantial investments in life sciences research, the presence of top pharmaceutical and biotechnology companies, and advanced academic research institutions. North America, particularly the United States, is home to some of the world's leading research centers, hospitals, and biotechnology firms, all of which are heavily involved in the adoption and development of spatial proteomics technologies.

The United States has long been at the forefront of proteomics research and development, contributing significantly to the market's growth. The country benefits from a strong ecosystem of both public and private sector funding, with major government agencies such as the National Institutes of Health (NIH) and the National Science Foundation (NSF) supporting research in proteomics and related fields. The federal funding allocated to proteomics research drives innovations in spatial proteomics, allowing for the development of cutting-edge technologies and increasing their adoption across various sectors. The presence of a well-established healthcare infrastructure and biotechnology companies ensures that spatial proteomics technologies are integrated into clinical research and therapeutic development.

North America is also home to numerous leading pharmaceutical and biotechnology companies that use spatial proteomics to enhance drug discovery, precision medicine, and therapeutic development. The integration of spatial proteomics into R&D pipelines allows these companies to develop targeted treatments, particularly in areas such as oncology, neurology, and immunology, where protein localization plays a critical role in disease progression and therapy development. With large-scale investments in biotechnology, drug discovery, and personalized medicine, these companies are driving the adoption of spatial proteomics in the region.

Key Market Players

  • 10x Genomics, Inc.
  • Bruker Corporation
  • Standard BioTools Inc.
  • Bruker Spatial Biology, Inc.
  • Akoya Biosciences, Inc.
  • PerkinElmer, Inc.
  • Danaher Corporation
  • Bio-Techne Corporation
  • S2 Genomics, Inc.
  • Seven Bridges Genomics Inc.

Report Scope:

In this report, the Global Spatial Proteomics Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Spatial Proteomics Market, By Product:

  • Instruments
  • Consumables
  • Software

Spatial Proteomics Market, By Technology:

  • Imaging-based Technologies
  • Mass Spectrometry-based Technologies
  • Sequencing-based Technologies
  • Others

Spatial Proteomics Market, By Workflow:

  • Sample Preparation
  • Instrumental Analysis
  • Data Analysis

Spatial Proteomics Market, By Sample Type:

  • FFPE
  • Fresh Frozen

Spatial Proteomics Market, By End Use:

  • Academic & Translational Research Institutes
  • Pharmaceutical & Biotechnology Companies
  • Others

Spatial Proteomics Market, By Region:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • France
    • United Kingdom
    • Italy
    • Germany
    • Spain
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Spatial Proteomics Market.

Available Customizations:

Global Spatial Proteomics 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:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validations
  • 2.7. Assumptions and Limitations

3. Executive Summary

  • 3.1. Overview of the Market
  • 3.2. Overview of Key Market Segmentations
  • 3.3. Overview of Key Market Players
  • 3.4. Overview of Key Regions/Countries
  • 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Spatial Proteomics Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Product (Instruments, Consumables, and Software)
    • 5.2.2. By Technology (Imaging-based Technologies, Mass Spectrometry-based Technologies, Sequencing-based Technologies, and Others)
    • 5.2.3. By Workflow (Sample Preparation, Instrumental Analysis, and Data Analysis)
    • 5.2.4. By Sample Type (FFPE and Fresh Frozen)
    • 5.2.5. By End Use (Academic & Translational Research Institutes, Pharmaceutical & Biotechnology Companies, and Others)
    • 5.2.6. By Region
    • 5.2.7. By Company (2024)
  • 5.3. Market Map

6. North America Spatial Proteomics Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Product
    • 6.2.2. By Technology
    • 6.2.3. By Workflow
    • 6.2.4. By Sample Type
    • 6.2.5. By End Use
    • 6.2.6. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Spatial Proteomics Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Product
        • 6.3.1.2.2. By Technology
        • 6.3.1.2.3. By Workflow
        • 6.3.1.2.4. By Sample Type
        • 6.3.1.2.5. By End Use
    • 6.3.2. Canada Spatial Proteomics Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Product
        • 6.3.2.2.2. By Technology
        • 6.3.2.2.3. By Workflow
        • 6.3.2.2.4. By Sample Type
        • 6.3.2.2.5. By End Use
    • 6.3.3. Mexico Spatial Proteomics Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Product
        • 6.3.3.2.2. By Technology
        • 6.3.3.2.3. By Workflow
        • 6.3.3.2.4. By Sample Type
        • 6.3.3.2.5. By End Use

7. Europe Spatial Proteomics Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Product
    • 7.2.2. By Technology
    • 7.2.3. By Workflow
    • 7.2.4. By Sample Type
    • 7.2.5. By End Use
    • 7.2.6. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Spatial Proteomics Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Product
        • 7.3.1.2.2. By Technology
        • 7.3.1.2.3. By Workflow
        • 7.3.1.2.4. By Sample Type
        • 7.3.1.2.5. By End Use
    • 7.3.2. United Kingdom Spatial Proteomics Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Product
        • 7.3.2.2.2. By Technology
        • 7.3.2.2.3. By Workflow
        • 7.3.2.2.4. By Sample Type
        • 7.3.2.2.5. By End Use
    • 7.3.3. Italy Spatial Proteomics Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Product
        • 7.3.3.2.2. By Technology
        • 7.3.3.2.3. By Workflow
        • 7.3.3.2.4. By Sample Type
        • 7.3.3.2.5. By End Use
    • 7.3.4. France Spatial Proteomics Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Product
        • 7.3.4.2.2. By Technology
        • 7.3.4.2.3. By Workflow
        • 7.3.4.2.4. By Sample Type
        • 7.3.4.2.5. By End Use
    • 7.3.5. Spain Spatial Proteomics Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Product
        • 7.3.5.2.2. By Technology
        • 7.3.5.2.3. By Workflow
        • 7.3.5.2.4. By Sample Type
        • 7.3.5.2.5. By End Use

8. Asia-Pacific Spatial Proteomics Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Product
    • 8.2.2. By Technology
    • 8.2.3. By Workflow
    • 8.2.4. By Sample Type
    • 8.2.5. By End Use
    • 8.2.6. By Country
  • 8.3. Asia-Pacific: Country Analysis
    • 8.3.1. China Spatial Proteomics Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Product
        • 8.3.1.2.2. By Technology
        • 8.3.1.2.3. By Workflow
        • 8.3.1.2.4. By Sample Type
        • 8.3.1.2.5. By End Use
    • 8.3.2. India Spatial Proteomics Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Product
        • 8.3.2.2.2. By Technology
        • 8.3.2.2.3. By Workflow
        • 8.3.2.2.4. By Sample Type
        • 8.3.2.2.5. By End Use
    • 8.3.3. Japan Spatial Proteomics Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Product
        • 8.3.3.2.2. By Technology
        • 8.3.3.2.3. By Workflow
        • 8.3.3.2.4. By Sample Type
        • 8.3.3.2.5. By End Use
    • 8.3.4. South Korea Spatial Proteomics Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Product
        • 8.3.4.2.2. By Technology
        • 8.3.4.2.3. By Workflow
        • 8.3.4.2.4. By Sample Type
        • 8.3.4.2.5. By End Use
    • 8.3.5. Australia Spatial Proteomics Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Product
        • 8.3.5.2.2. By Technology
        • 8.3.5.2.3. By Workflow
        • 8.3.5.2.4. By Sample Type
        • 8.3.5.2.5. By End Use

9. South America Spatial Proteomics Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Product
    • 9.2.2. By Technology
    • 9.2.3. By Workflow
    • 9.2.4. By Sample Type
    • 9.2.5. By End Use
    • 9.2.6. By Country
  • 9.3. South America: Country Analysis
    • 9.3.1. Brazil Spatial Proteomics Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Product
        • 9.3.1.2.2. By Technology
        • 9.3.1.2.3. By Workflow
        • 9.3.1.2.4. By Sample Type
        • 9.3.1.2.5. By End Use
    • 9.3.2. Argentina Spatial Proteomics Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Product
        • 9.3.2.2.2. By Technology
        • 9.3.2.2.3. By Workflow
        • 9.3.2.2.4. By Sample Type
        • 9.3.2.2.5. By End Use
    • 9.3.3. Colombia Spatial Proteomics Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Product
        • 9.3.3.2.2. By Technology
        • 9.3.3.2.3. By Workflow
        • 9.3.3.2.4. By Sample Type
        • 9.3.3.2.5. By End Use

10. Middle East and Africa Spatial Proteomics Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Product
    • 10.2.2. By Technology
    • 10.2.3. By Workflow
    • 10.2.4. By Sample Type
    • 10.2.5. By End Use
    • 10.2.6. By Country
  • 10.3. MEA: Country Analysis
    • 10.3.1. South Africa Spatial Proteomics Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Product
        • 10.3.1.2.2. By Technology
        • 10.3.1.2.3. By Workflow
        • 10.3.1.2.4. By Sample Type
        • 10.3.1.2.5. By End Use
    • 10.3.2. Saudi Arabia Spatial Proteomics Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Product
        • 10.3.2.2.2. By Technology
        • 10.3.2.2.3. By Workflow
        • 10.3.2.2.4. By Sample Type
        • 10.3.2.2.5. By End Use
    • 10.3.3. UAE Spatial Proteomics Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Product
        • 10.3.3.2.2. By Technology
        • 10.3.3.2.3. By Workflow
        • 10.3.3.2.4. By Sample Type
        • 10.3.3.2.5. By End Use

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

  • 12.1. Merger & Acquisition (If Any)
  • 12.2. Product Launches (If Any)
  • 12.3. Recent Developments

13. Porter's Five Forces Analysis

  • 13.1. Competition in the Industry
  • 13.2. Potential of New Entrants
  • 13.3. Power of Suppliers
  • 13.4. Power of Customers
  • 13.5. Threat of Substitute Products

14. Competitive Landscape

  • 14.1. 10x Genomics, Inc.
    • 14.1.1. Business Overview
    • 14.1.2. Company Snapshot
    • 14.1.3. Products & Services
    • 14.1.4. Financials (As Reported)
    • 14.1.5. Recent Developments
    • 14.1.6. Key Personnel Details
    • 14.1.7. SWOT Analysis
  • 14.2. Bruker Corporation
  • 14.3. Standard BioTools Inc.
  • 14.4. Bruker Spatial Biology, Inc.
  • 14.5. Akoya Biosciences, Inc.
  • 14.6. PerkinElmer, Inc.
  • 14.7. Danaher Corporation
  • 14.8. Bio-Techne Corporation
  • 14.9. S2 Genomics, Inc.
  • 14.10. Seven Bridges Genomics Inc.

15. Strategic Recommendations

16. About Us & Disclaimer