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市场调查报告书
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1636672

2030 年空间组学市场预测：按解决方案类型、样本类型、工作流程、技术、应用、最终用户和地区进行的全球分析

Spatial OMICS Market Forecasts to 2030 - Global Analysis By Solution Type (Instruments, Consumables and Software), Sample Type, Workflow, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，全球空间 OMICS 市场规模在 2024 年估计为 4.162 亿美元，预计到 2030 年将达到 8.3079 亿美元，预测期内的复合年增长率为 12.21%。

空间组学是一个新兴的研究领域，它将组学资料（包括基因组学、转录组学、蛋白质组学和代谢体学）与空间资讯相结合，以深入了解生物系统的分子和空间理解。空间组学保留了细胞和组织的空间组织，使研究人员能够在自然生物环境中查看和查询分子资料，这与传统组学方法不同，因为传统组学方法通常会因批量分析而失去空间背景。

根据《核酸研究》发表的一项研究，SpatialRef 是一个手动管理的空间 OMICS资料库，包含多个物种的超过 900 万个手动註释的斑点。

个人化治疗兴趣日益浓厚

推动空间 OMICS 市场发展的最强大因素之一是向个人化或精准医疗的转变。个人化治疗需要彻底了解特定患者群体中疾病的细胞和分子动态。空间组学技术使科学家能够创建组织内细胞异质性的复杂图谱，为药物反应、治疗目标和疾病机制提供关键见解。此外，这在神经系统疾病中特别有用，因为了解不同大脑区域的潜在分子机制可以指南治疗策略，以及在肿瘤学中，因为不同患者的肿瘤复杂性差异很大。

设备和技术成本高

空间资料创建和分析所需的先进工具和技术成本高是限制空间 OMICS 市场的主要因素之一。高解析度显微镜、质谱仪和次世代定序仪只是空间转录组学、空间蛋白质组学和空间代谢体学学中使用的昂贵设备的几个例子。消耗品、试剂和专门的生物资讯软体的成本进一步增加了财务负担。此外，对于许多中小型企业和研究机构来说，如此高的初始成本将是难以承受的，这限制了空间组学技术的取得和使用。

多组学整合的发展

多组学资料（包括转录组学、蛋白质组学、代谢体学和基因组学）与空间资料的整合是空间组学市场最令人兴奋的前景之一。透过整合空间背景和分子讯息，这种强大的组合使研究人员能够彻底了解生物过程。透过可视化组织内的基因、蛋白质和代谢物的定位，可以识别影响药物反应、疾病进展和其他生理过程的细胞交互作用和微环境因素。此外，这种多组学方法在药物开发、神经科学和癌症研究等领域特别有用，这些领域对空间异质性的分子理解可以促进标靶治疗和个人化医疗的进步。

资料的复杂性与分析的难度

另一个主要威胁是空间 OMICS资料的复杂性。空间分辨分子分析产生的大量资料以及各个 OMICS资料层之间的复杂关係使得资料分析和解释极具挑战性。此外，需要特定的软体和计算技术来整合、视觉化和解释空间维度所带来的复杂层次。即使是经验丰富的研究人员，如果没有强大的计算基础设施和先进的生物资讯学知识，也会很难从如此复杂的资料集中得出有意义的结论。

COVID-19 的影响：

太空 OMICS 市场受到了 COVID-19 疫情的严重影响，随着科学家和医疗相关人员试图追踪病毒的变异、了解其行为并开发疫苗和标靶治疗，疫情加速了先进 OMICS 技术的采用。由于需要大量高解析度的分子资料来在空间层面上研究病毒，对空间组学工具的需求（尤其是在转录组学、蛋白质组学和基因组学领域）不断增加。这种日益增长的兴趣推动了对空间组学技术的投资，激发了创新并扩大了这些技术在免疫学和病毒学中的应用范围。

预测期内，福马林固定石蜡包埋 (FFPE) 组织部分预计将实现最大幅度成长

福马林固定、石蜡包埋 (FFPE) 组织部分预计将占据空间 OMICS 市场的最大份额。回顾性研究经常使用 FFPE 组织样本，因为它们保质期长，并且易于在临床和研究环境中储存。这些组织样本保持了生物样本的分子完整性，因此可以彻底检查基因表现、蛋白质水平和与组织结构相关的其他分子特征。此外，许多基于 OMICS 的技术，包括空间转录组学、空间蛋白质组学等，使用 FFPE 样本来研究癌症、感染疾病和神经退化疾病等疾病。

资料分析领域预计在预测期内实现最高复合年增长率

在空间 OMICS 市场中，资料分析部分预计将以最高的复合年增长率成长。空间组学技术产生的大量复杂、多维资料导致了对复杂的生物资讯学工具和资料分析平台的需求日益增加。为了处理、整合和解释空间分辨的分子资料，本节涵盖了先进的机器学习演算法、人工智慧和统计模型的创建和使用。此外，结合基因组学、转录组学、蛋白质组学和图像资料的空间组学资料日益复杂，正在加速资料分析技术的创新。

占比最大的地区：

预计北美地区将占据空间 OMICS 市场的最大份额。顶尖学术机构和生物技术公司的存在、大量的研发投资以及完善的医疗保健基础设施都为该地区带来了优势。肿瘤学、免疫学和神经病学研究对尖端仪器的强烈需求使美国处于空间组学技术发展的前沿。在主要参与者以及公共和私营部门的大量资金的推动下，各个领域的创新和空间 OMICS 的使用得到了推动。此外，北美的监管框架也鼓励尖端生物医学技术的创造和应用，加强该地区的市场领导地位。

复合年增长率最高的地区：

空间 OMICS 市场预计将在亚太地区实现最高的复合年增长率。该地区采用空间组学技术是由于生物技术领域的爆炸式增长以及对研究和医疗保健基础设施的投资不断增加。中国、日本和印度等国家在基因组学、分子生物学和生物医学研究方面取得了重大进展，推动了学术和临床领域对空间组学工具的需求。此外，资料分析技能的提高以及对这些领域的感染疾病、癌症研究和个人化医疗的重视也推动了市场的爆炸性成长。

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  • 公司简介
    • 对其他市场公司（最多 3 家公司）进行全面分析
    • 主要企业的 SWOT 分析（最多 3 家公司）
  • 地理细分
    • 根据客户兴趣对主要国家进行的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争性基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业进行基准化分析

目录

第一章执行摘要

第 2 章 前言

  • 概述
  • 相关利益者
  • 研究范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二手研究资料资讯来源
    • 先决条件

第三章 市场走势分析

  • 驱动程式
  • 限制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第 4 章 波特五力分析

  • 供应商的议价能力
  • 买家的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球空间 OMICS 市场按解决方案类型划分

  • 装置
    • 模式
      • 自动化
      • 半自动
      • 手动的
    • 类型
      • 定序平台
      • 全球健康
      • 显微镜
      • 流式细胞技术
      • 质谱分析
      • 其他类型
  • 耗材
  • 软体
    • 生物资讯学工具
    • 影像工具
    • 储存和管理资料库

6. 全球空间组学市场（依样本类型）

  • 福马林固定石蜡包埋 (FFPE) 组织
  • 新鲜冷冻组织

7. 全球空间 OMICS 市场（依工作流程）

  • 样品製备
  • 仪器分析
  • 资料分析

8. 全球空间组学市场（依技术划分）

  • 空间转录组学
  • 空间蛋白质体学
  • 空间基因体学

9. 全球空间组学市场（按应用）

  • 诊断
  • 转化研究
  • 药物研发
  • 单细胞分析
  • 细胞生物学
  • 其他用途

第 10 章 全球空间 OMICS 市场（按最终用户）

  • 学术和研究机构
  • 生物製药和生物技术公司
  • 合约研究组织
  • 其他最终用户

第 11 章 全球空间 OMICS 市场（按地区）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十二章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十三章 公司概况

  • Biognosys AG
  • Ultivue, Inc.
  • Diagenode Diagnostics（Hologic, Inc.）
  • Advanced Cell Diagnostics, Inc.
  • Fluidigm Corporation
  • Danaher Corporation
  • Bruker Corporation
  • ZEISS Group
  • Bio-Rad Laboratories, Inc.
  • PerkinElmer, Inc.
  • NanoString Technologies, Inc.
  • Akoya Biosciences, Inc.
  • Brooks Automation, Inc.
  • Vizgen Corporation
  • Rebus Biosystems, Inc.
Product Code: SMRC28313

According to Stratistics MRC, the Global Spatial OMICS Market is accounted for $416.20 million in 2024 and is expected to reach $830.79 million by 2030 growing at a CAGR of 12.21% during the forecast period. Spatial OMICS is an advanced field of study that integrates spatial information with omics data, such as genomics, transcriptomics, proteomics, and metabolomics, to provide a detailed molecular and spatial understanding of biological systems. Spatial omics maintains the spatial organization of cells and tissues, allowing researchers to view and examine molecular data in its natural biological setting, in contrast to traditional omics techniques that frequently lose spatial context because of bulk analysis.

According to a study published in Nucleic Acids Research, SpatialRef is a manually curated spatial omics database that aggregates over 9 million manually annotated spots across multiple species.

Market Dynamics:

Driver:

Growing interest in customized treatment

One of the strongest factors propelling the spatial OMICS market is the move toward personalized or precision medicine. A thorough grasp of the cellular and molecular dynamics of diseases in particular patient populations is necessary for personalized treatments. Scientists can produce intricate maps of cellular heterogeneity within tissues using spatial OMICS technologies, which provide vital insights into drug responses, therapeutic targets, and disease mechanisms. Additionally, this is especially helpful in neurological disorders, where knowledge of the molecular mechanisms underlying the various brain regions can guide treatment strategies, and oncology, where tumor complexity varies greatly from patient to patient.

Restraint:

High equipment and technology costs

The high cost of the sophisticated tools and technologies needed for the creation and analysis of spatial data is one of the main factors limiting the market for spatial OMICS. High-resolution microscopes, mass spectrometers, and next-generation sequencers are just a few examples of the costly equipment used in spatial transcriptomics, spatial proteomics, and spatial metabolomics. The financial burden is further increased by the price of consumables, reagents, and specialized bioinformatics software. Furthermore, these large upfront costs can be unaffordable for many smaller businesses and research institutions, which restrict their access to and use of spatial OMICS technologies.

Opportunity:

Developments in the integration of multiple omics

Integrating multi-omics data-such as transcriptomics, proteomics, metabolomics, and genomics-with spatial data is one of the most exciting prospects in the spatial OMICS market. Through the integration of spatial context and molecular information, this potent combination enables researchers to obtain a thorough understanding of biological processes. Identification of cellular interactions and microenvironmental factors that impact drug response, disease progression, and other physiological processes is made possible by the ability to visualize the localization of genes, proteins, or metabolites within tissues. Moreover, this multi-omics approach is especially helpful in fields like drug development, neuroscience, and cancer research, where a molecular understanding of spatial heterogeneity can result in advances in targeted therapies and personalized medicine.

Threat:

Complexity of data and analysis difficulties

One other major threat is the complexity of spatial omics data. Due to the vast amount of data produced by spatially resolved molecular profiling and the complex relationships among the various omics data layers, data analysis and interpretation are exceedingly difficult. Additionally, in order to integrate, visualize, and interpret the additional layer of complexity brought about by the spatial dimension, specific software and computational techniques are needed. Even seasoned researchers may find it difficult to draw significant conclusions from these intricate datasets without strong computing infrastructure and advanced bioinformatics knowledge.

Covid-19 Impact:

The market for spatial OMICS was significantly impacted by the COVID-19 pandemic, which sped up the adoption of advanced omics technologies as scientists and medical professionals tried to track the virus's mutations, comprehend its behaviour, and create vaccines and targeted treatments. The demand for spatial omics tools, especially in the domains of transcriptomics, proteomics, and genomics, increased due to the requirement for extensive, high-resolution molecular data to investigate the virus at a spatial level. Investments in spatial omics technologies were fuelled by this spike in interest, which encouraged innovation and increased the range of uses for these technologies in immunology and virology.

The Formalin-Fixed Paraffin-Embedded (FFPE) Tissue segment is expected to be the largest during the forecast period

In the spatial OMICS market, the formalin-fixed paraffin-embedded (FFPE) tissue segment is expected to have the largest share. Retrospective studies frequently use FFPE tissue samples because of their long shelf life and ease of storage in clinical and research settings. These tissue samples allow for a thorough examination of gene expression, protein levels, and other molecular properties in relation to tissue architecture because they maintain the molecular integrity of biological specimens. Moreover, many omics-based methods, including spatial transcriptomics, spatial proteomics, and others, use FFPE samples to investigate diseases like cancer, infectious diseases, and neurodegenerative conditions.

The Data Analysis segment is expected to have the highest CAGR during the forecast period

In the spatial OMICS market, the data analysis segment is anticipated to grow at the highest CAGR. The demand for sophisticated bioinformatics tools and data analysis platforms has increased as a result of the massive volumes of complex, multidimensional data generated by spatial omics technologies. In order to process, integrate, and interpret the spatially resolved molecular data, this section covers the creation and use of advanced machine learning algorithms, artificial intelligence, and statistical models. Additionally, innovation in data analysis techniques is being fueled by the growing complexity of spatial omics data, which blends genomic, transcriptomic, proteomic, and imaging data.

Region with largest share:

The market for spatial OMICS is expected to be largest share by the North America segment. A strong presence of top academic institutions and biotechnology companies, substantial investments in research and development, and an established healthcare infrastructure all contribute to the region's advantages. With a strong need for state-of-the-art instruments in research in oncology, immunology, and neurology, the US has been at the forefront of developments in spatial omics technologies. Innovation and the use of spatial omics in many different fields have been fuelled by the presence of important players and significant funding from the public and private sectors. Furthermore, the regulatory framework in North America also encourages the creation and application of cutting-edge biomedical technologies, which strengthens the region's market leadership.

Region with highest CAGR:

In the spatial OMICS market, the Asia Pacific region is anticipated to have the highest CAGR. Adoption of spatial omics technologies in the region is being driven by the biotechnology sector's explosive growth as well as rising investments in research and healthcare infrastructure. Significant advancements in genomics, molecular biology, and biomedical research are being made by nations like China, Japan, and India, which is increasing the need for spatial omics tools in both academic and clinical settings. Moreover, improvements in data analysis skills and the growing emphasis on infectious diseases, cancer research, and personalized medicine in these fields are also fueling the market's explosive growth.

Key players in the market

Some of the key players in Spatial OMICS market include Biognosys AG, Ultivue, Inc., Diagenode Diagnostics (Hologic, Inc.), Advanced Cell Diagnostics, Inc., Fluidigm Corporation, Danaher Corporation, Bruker Corporation, ZEISS Group, Bio-Rad Laboratories, Inc., PerkinElmer, Inc., NanoString Technologies, Inc., Akoya Biosciences, Inc., Brooks Automation, Inc., Vizgen Corporation and Rebus Biosystems, Inc.

Key Developments:

In April 2024, Bio-Rad Laboratories, Inc. a global leader in life science research and clinical diagnostics products, announced a collaboration agreement with Oncocyte Corporation (Nasdaq: OCX), a precision diagnostics company, to develop and commercialize transplant monitoring products using Bio-Rad's Droplet Digital(TM) PCR (ddPCR(TM)) instruments and reagents.

In February 2024, Life sciences and diagnostics company Bruker has agreed to acquire ELITechGroup, a provider of in-vitro diagnostic (IVD) systems, in a €870m ($942m) cash deal. ELITechGroup will be acquired from TecFin, a controlled affiliate of pre-eminent private equity company PAI Partners.

In January 2024, Biognosys announced the operational readiness of its new proteomics facility in Massachusetts. This US expansion facilitates access to select proteomics contract research organization (CRO) services for our US biopharma customers.

Solution Types Covered:

  • Instruments
  • Consumables
  • Software

Sample Types Covered:

  • Formalin-Fixed Paraffin-Embedded (FFPE) Tissue
  • Fresh Frozen Tissue

Workflows Covered:

  • Sample Preparation
  • Instrumental Analysis
  • Data Analysis

Technologies Covered:

  • Spatial Transcriptomics
  • Spatial Proteomics
  • Spatial Genomics

Applications Covered:

  • Diagnostics
  • Translation Research
  • Drug Discovery and Development
  • Single Cell Analysis
  • Cell Biology
  • Other Applications

End Users Covered:

  • Academic and Research Institutions
  • Biopharmaceutical & Biotechnological Companies
  • Contract Research Organization
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Spatial OMICS Market, By Solution Type

  • 5.1 Introduction
  • 5.2 Instruments
    • 5.2.1 Mode
      • 5.2.1.1 Automated
      • 5.2.1.2 Semi-automated
      • 5.2.1.3 Manual
    • 5.2.2 Type
      • 5.2.2.1 Sequencing Platforms
      • 5.2.2.2 IHC
      • 5.2.2.3 Microscopy
      • 5.2.2.4 Flow Cytometry
      • 5.2.2.5 Mass Spectrometry
      • 5.2.2.6 Other Types
  • 5.3 Consumables
  • 5.4 Software
    • 5.4.1 Bioinformatics Tools
    • 5.4.2 Imaging Tools
    • 5.4.3 Storage & Management Databases

6 Global Spatial OMICS Market, By Sample Type

  • 6.1 Introduction
  • 6.2 Formalin-Fixed Paraffin-Embedded (FFPE) Tissue
  • 6.3 Fresh Frozen Tissue

7 Global Spatial OMICS Market, By Workflow

  • 7.1 Introduction
  • 7.2 Sample Preparation
  • 7.3 Instrumental Analysis
  • 7.4 Data Analysis

8 Global Spatial OMICS Market, By Technology

  • 8.1 Introduction
  • 8.2 Spatial Transcriptomics
  • 8.3 Spatial Proteomics
  • 8.4 Spatial Genomics

9 Global Spatial OMICS Market, By Application

  • 9.1 Introduction
  • 9.2 Diagnostics
  • 9.3 Translation Research
  • 9.4 Drug Discovery and Development
  • 9.5 Single Cell Analysis
  • 9.6 Cell Biology
  • 9.7 Other Applications

10 Global Spatial OMICS Market, By End User

  • 10.1 Introduction
  • 10.2 Academic and Research Institutions
  • 10.3 Biopharmaceutical & Biotechnological Companies
  • 10.4 Contract Research Organization
  • 10.5 Other End Users

11 Global Spatial OMICS Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Biognosys AG
  • 13.2 Ultivue, Inc.
  • 13.3 Diagenode Diagnostics (Hologic, Inc.)
  • 13.4 Advanced Cell Diagnostics, Inc.
  • 13.5 Fluidigm Corporation
  • 13.6 Danaher Corporation
  • 13.7 Bruker Corporation
  • 13.8 ZEISS Group
  • 13.9 Bio-Rad Laboratories, Inc.
  • 13.10 PerkinElmer, Inc.
  • 13.11 NanoString Technologies, Inc.
  • 13.12 Akoya Biosciences, Inc.
  • 13.13 Brooks Automation, Inc.
  • 13.14 Vizgen Corporation
  • 13.15 Rebus Biosystems, Inc.

List of Tables

  • Table 1 Global Spatial OMICS Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Spatial OMICS Market Outlook, By Solution Type (2022-2030) ($MN)
  • Table 3 Global Spatial OMICS Market Outlook, By Instruments (2022-2030) ($MN)
  • Table 4 Global Spatial OMICS Market Outlook, By Mode (2022-2030) ($MN)
  • Table 5 Global Spatial OMICS Market Outlook, By Type (2022-2030) ($MN)
  • Table 6 Global Spatial OMICS Market Outlook, By Consumables (2022-2030) ($MN)
  • Table 7 Global Spatial OMICS Market Outlook, By Software (2022-2030) ($MN)
  • Table 8 Global Spatial OMICS Market Outlook, By Bioinformatics Tools (2022-2030) ($MN)
  • Table 9 Global Spatial OMICS Market Outlook, By Imaging Tools (2022-2030) ($MN)
  • Table 10 Global Spatial OMICS Market Outlook, By Storage & Management Databases (2022-2030) ($MN)
  • Table 11 Global Spatial OMICS Market Outlook, By Sample Type (2022-2030) ($MN)
  • Table 12 Global Spatial OMICS Market Outlook, By Formalin-Fixed Paraffin-Embedded (FFPE) Tissue (2022-2030) ($MN)
  • Table 13 Global Spatial OMICS Market Outlook, By Fresh Frozen Tissue (2022-2030) ($MN)
  • Table 14 Global Spatial OMICS Market Outlook, By Workflow (2022-2030) ($MN)
  • Table 15 Global Spatial OMICS Market Outlook, By Sample Preparation (2022-2030) ($MN)
  • Table 16 Global Spatial OMICS Market Outlook, By Instrumental Analysis (2022-2030) ($MN)
  • Table 17 Global Spatial OMICS Market Outlook, By Data Analysis (2022-2030) ($MN)
  • Table 18 Global Spatial OMICS Market Outlook, By Technology (2022-2030) ($MN)
  • Table 19 Global Spatial OMICS Market Outlook, By Spatial Transcriptomics (2022-2030) ($MN)
  • Table 20 Global Spatial OMICS Market Outlook, By Spatial Proteomics (2022-2030) ($MN)
  • Table 21 Global Spatial OMICS Market Outlook, By Spatial Genomics (2022-2030) ($MN)
  • Table 22 Global Spatial OMICS Market Outlook, By Application (2022-2030) ($MN)
  • Table 23 Global Spatial OMICS Market Outlook, By Diagnostics (2022-2030) ($MN)
  • Table 24 Global Spatial OMICS Market Outlook, By Translation Research (2022-2030) ($MN)
  • Table 25 Global Spatial OMICS Market Outlook, By Drug Discovery and Development (2022-2030) ($MN)
  • Table 26 Global Spatial OMICS Market Outlook, By Single Cell Analysis (2022-2030) ($MN)
  • Table 27 Global Spatial OMICS Market Outlook, By Cell Biology (2022-2030) ($MN)
  • Table 28 Global Spatial OMICS Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 29 Global Spatial OMICS Market Outlook, By End User (2022-2030) ($MN)
  • Table 30 Global Spatial OMICS Market Outlook, By Academic and Research Institutions (2022-2030) ($MN)
  • Table 31 Global Spatial OMICS Market Outlook, By Biopharmaceutical & Biotechnological Companies (2022-2030) ($MN)
  • Table 32 Global Spatial OMICS Market Outlook, By Contract Research Organization (2022-2030) ($MN)
  • Table 33 Global Spatial OMICS Market Outlook, By Other End Users (2022-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.