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1636712

2030 年單細胞分析轉錄組學市場預測：按產品類型、樣本類型、工作流程階段、技術、應用、最終用戶和地區進行的全球分析

Single-Cell Analysis Transcriptomics Market Forecasts to 2030 - Global Analysis By Product, Analysis Type, Sample Type, Workflow Stage, 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個工作天內

價格

根據 Stratistics MRC 的數據，全球單細胞分析轉錄組學市場預計在 2024 年達到 52.2 億美元，到 2030 年將達到 160.1 億美元，預測期內的複合年成長率為 20.5%。

單細胞轉錄組學是在單一細胞層級研究基因表現的前沿方法。這使得發現稀有細胞類型、細胞狀態和分化等動態過程成為可能。各種技術使研究人員能夠揭示有關發展、疾病機制和治療目標的關鍵見解，為在單細胞解析度下理解複雜的生物系統提供了前所未有的精確度。

美國癌症協會報告稱，預計 2022 年美國將診斷出 190 萬例新癌症病例，609,360 人死於癌症。

精準醫療需求不斷成長

由於精準醫療專注於根據個別基因和分子特徵制定個人化治療方案，單細胞轉錄組學可以提供有關細胞異質性的關鍵見解，使研究人員能夠了解疾病在細胞層面的表現方式。透過分析單細胞解析度的基因表現，該技術有助於識別稀有細胞群、疾病生物標記和治療靶點，以推進個人化治療策略。腫瘤學、免疫學和罕見疾病領域的應用將確保更準確的診斷和治療方案，從而增加醫療保健領域的需求。

資料分析的複雜性

單細胞轉錄組學資料分析的複雜性源於產生的大量資料，其解釋需要先進的計算方法。細胞間的變異、脫落事件和噪音進一步使這個過程變得複雜。研究人員必須處理不同樣本的資料整合、叢集和解釋，這需要高級生物資訊學專業知識。對專門工具和強大的計算基礎設施的需求增加了挑戰。這些複雜性減緩了單細胞技術的廣泛應用。

增加基因組學研究的投資

政府、私人實體和創業投資的不斷增加的資金正在支持成本更低、更準確和可擴展的單細胞技術的開發。這項投資將使人們更深入了解基因表現、分化和疾病機制等複雜的生物過程。這將加速單細胞轉錄組學在癌症研究、免疫學和再生醫學等不同領域的應用。此外，它將促進研究機構、生物技術公司和受託研究機構之間的合作，以進一步促進市場成長和應用。

道德問題

單細胞轉錄組學中的倫理問題主要源自於人體組織的使用，特別是在涉及遺傳疾病、癌症和生殖醫學等敏感情況的研究中。同意、隱私以及基因資料的潛在濫用等議題都已列入監管議程。此外，個人和可識別資料的處理存在道德複雜性，引發了對資料安全的擔憂。這些因素可能會增加獲得倫理核准所需的成本和時間、限制研究範圍以及阻礙研究機構和行業相關人員之間的合作，從而減緩市場成長。

COVID-19 的影響

COVID-19 大流行加速了單細胞轉錄組學的採用，並推動了對在細胞層面上研究病毒-宿主相互作用和免疫反應的先進工具的需求。然而，市場面臨的挑戰包括供應鏈中斷、研究計劃延遲以及非新冠研究資金減少。儘管存在這些挫折，但這場疫情凸顯了單細胞技術在應對全球健康挑戰中可以發揮的重要作用，並刺激了市場的長期成長。

預計癌症基因組學將成為預測期內最大的細分市場。

預計癌症基因組學領域將在整個預測期內佔據最大的市場佔有率。單細胞轉錄組學透過提供對腫瘤異質性、克隆進化和腫瘤微環境的無與倫比的洞察，徹底改變了癌症基因組學。這種方法將識別罕見的癌細胞亞群，追蹤疾病進展，並揭示抗治療性機制。這種精確度將提高我們對癌症生物學的理解，並為個人化、標靶治療介入鋪平道路。

預計預測期內，受託研究機構（CRO）部門將以最高的複合年成長率成長。

預計委外研發機構（CRO）部門在預測期內將呈現最高的複合年成長率。 CRO 擴大利用單細胞轉錄組學來支持藥物發現和開發。該技術將有助於識別分子標靶、了解疾病機制並在細胞層面評估藥物療效。透過提供生物資訊學專業知識和先進的平台，CRO 可確保高品質的結果並加速精準醫療的發展。

比最大的地區

由於基因組學研究的投資不斷增加、政府對醫療保健進步的舉措以及精準醫療的日益普及，預計亞太地區將在預測期內佔據最大的市場佔有率。中國、日本和印度等國家在擴大研究基礎設施和產學研合作方面處於該地區領先地位。此外，慢性病和癌症的高發性也推動了對先進轉錄組學工具的需求。該地區擁有巨大的技術進步和市場擴張潛力。

複合年成長率最高的地區：

由於強大的研究基礎設施、先進基因組技術的廣泛採用以及政府對精準醫療和基因組學的大力資助，預計北美將在預測期內實現最高的複合年成長率。在主要企業和學術機構的支持下，美國在癌症、免疫學和神經生物學領域開展了廣泛的研究活動，在該地區處於領先地位。加拿大也正在加大對生物技術的投資，並且正在成為重要的貢獻者。先進的生物資訊學工具和熟練的專業人員進一步推動了市場的成長。

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  • 公司簡介
    • 全面分析其他市場參與者（最多 3 家公司）
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  • 地理細分
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    • 根據產品系列、地理分佈和策略聯盟對主要企業進行基準化分析

目錄

第1章執行摘要

第 2 章 前言

  • 概述
  • 相關利益者
  • 研究範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二手研究資料資訊來源
    • 先決條件

第3章 市場走勢分析

  • 驅動程式
  • 限制因素
  • 機會
  • 威脅
  • 產品分析
  • 技術分析
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19 的影響

第 4 章 波特五力分析

  • 供應商的議價能力
  • 買家的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球單細胞分析轉錄組學市場（按產品）

  • 裝置
    • 定序儀
    • 流式細胞儀
    • 顯微鏡
  • 耗材
    • 試劑和套件
    • 微孔盤
    • 珠

6. 全球單細胞分析轉錄組學市場（依分析類型）

  • 基因表現
  • 表觀基因
  • 代謝體學
  • 蛋白質體學
  • 其他分析類型

7. 全球單細胞分析轉錄組學市場（依樣本類型）

  • 人類細胞
  • 動物細胞
  • 微生物細胞
  • 植物細胞
  • 其他樣品類型

8. 全球單細胞分析轉錄組學市場（依工作流程階段分類）

  • 樣品製備
  • 樣品分離
  • 資料分析
  • 資料解釋
  • 其他工作流程階段

9. 全球單細胞分析轉錄組學市場（按技術）

  • 次世代定序（NGS）
  • 聚合酵素鏈鎖反應（PCR）
  • 微陣列
  • 單細胞 RNA定序（scRNA-Seq）
  • 原位雜合技術（ISH）
  • 其他技術

第 10 章。

  • 癌症基因體學
  • 神經病學
  • 免疫學
  • 幹細胞研究
  • 疾病診斷
  • 個人化醫療
  • 生物標記發現
  • 其他應用

第 11 章。

  • 學術和研究機構
  • 製藥和生物技術公司
  • 醫院和診斷實驗室
  • 合約研究組織 (CRO)
  • 其他最終用戶

第 12 章。

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第13章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第14章 公司概況

  • Thermo Fisher Scientific
  • Bio-Rad Laboratories
  • Becton, Dickinson and Company
  • QIAGEN NV
  • Illumina Inc.
  • PerkinElmer Inc.
  • Agilent Technologies
  • Pacific Biosciences
  • Sartorius AG
  • Promega Corporation
  • Luminex Corporation
  • Merck KGaA
  • Zephyrus Biosciences
  • Miltenyi Biotec
  • Oxford Nanopore Technologies
  • Novogene Corporation
  • Fluidigm Corporation
  • Cell Signaling Technology Inc.
  • 10x Genomics
  • NanoString Technologies
Product Code: SMRC28353

According to Stratistics MRC, the Global Single-Cell Analysis Transcriptomics Market is accounted for $5.22 billion in 2024 and is expected to reach $16.01 billion by 2030 growing at a CAGR of 20.5% during the forecast period. Single-cell analysis transcriptomics is a cutting-edge approach to studying gene expression at the individual cell level. It enables the discovery of rare cell types, cell states, and dynamic processes such as differentiation. By using various technologies, researchers can uncover critical insights into development, disease mechanisms, and therapeutic targets, offering unprecedented precision in understanding complex biological systems at a single-cell resolution.

According to the American Cancer Society report, in 2022, there were an estimated 1.9 million new cancer cases diagnosed and 609,360 cancer deaths in the U.S.

Market Dynamics:

Driver:

Rising demand for precision medicine

As precision medicine focuses on tailoring treatments based on individual genetic and molecular profiles, single-cell transcriptomics provides critical insights into cellular heterogeneity, enabling researchers to understand how diseases manifest at the cellular level. By analyzing gene expression at single-cell resolution, this technology helps identify rare cell populations, disease biomarkers, and therapeutic targets, advancing personalized treatment strategies. Its application in oncology, immunology, and rare diseases further fuels the market's expansion, ensuring more accurate diagnostics and treatment options, which boosts demand in the healthcare sector.

Restraint:

Complexity of data analysis

The complexity of data analysis in single-cell analysis transcriptomics arises from the large volume of data generated, which requires sophisticated computational methods to interpret. Variability between cells, dropout events, and noise further complicate the process. Researchers must handle data integration, clustering, and interpretation across diverse samples, demanding advanced bioinformatics expertise. The need for specialized tools and high-performance computing infrastructure adds to the challenge. This complexity thereby slowdowns widespread adoption of single-cell technologies

Opportunity:

Growing investments in genomics research

Increased funding from governments, private organizations, and venture capital firms supports the development of more affordable, precise, and scalable single-cell technologies. This investment enables better understanding of complex biological processes, such as gene expression, differentiation, and disease mechanisms. As a result, it accelerates the adoption of single-cell transcriptomics in diverse fields, including cancer research, immunology, and regenerative medicine. Moreover, it fosters collaborations between research institutions, biotechnology companies, and contract research organizations, further advancing the market's growth and application.

Threat:

Ethical concerns

Ethical concerns in single-cell analysis transcriptomics arise mainly from the use of human tissues, especially for research involving sensitive conditions like genetic diseases, cancer, and reproductive health. Issues like consent, privacy, and the potential for misuse of genetic data create regulatory challenges. The ethical complexity of handling personal and identifiable data also raises concerns about data security. These factors can slow market growth by increasing the costs and time required to obtain ethical approvals, limit the scope of research, and deter collaboration between institutions and industry players.

Covid-19 Impact

The covid-19 pandemic accelerated the adoption of single-cell analysis transcriptomics, driving demand for advanced tools to study viral-host interactions and immune responses at cellular resolution. However, the market faced challenges such as disrupted supply chains, delayed research projects, and reduced funding for non-covid studies. Despite these setbacks, the pandemic underscored the critical role of single-cell technologies in addressing global health challenges, fostering long-term market growth.

The cancer genomics segment is expected to be the largest during the forecast period

The cancer genomics segment is predicted to secure the largest market share throughout the forecast period. Single-cell analysis transcriptomics is revolutionizing cancer genomics by providing unparalleled insights into tumor heterogeneity, clonal evolution, and the tumor microenvironment. This approach identifies rare cancer cell subpopulations, tracks disease progression, and uncovers mechanisms of therapy resistance. This precision enhances understanding of cancer biology, paving the way for personalized and targeted therapeutic interventions.

The contract research organizations (CROs) segment is expected to have the highest CAGR during the forecast period

The contract research organizations (CROs) segment is anticipated to witness the highest CAGR during the forecast period. CROs are increasingly leveraging single-cell analysis transcriptomics to support drug discovery and development. This technology aids in identifying molecular targets, understanding disease mechanisms, and evaluating drug efficacy at a cellular resolution. By offering expertise in bioinformatics and advanced platforms, CROs ensure high-quality results, facilitating the development of precision medicines.

Region with largest share:

Asia Pacific is expected to register the largest market share during the forecast period fuelled by increasing investments in genomics research, government initiatives to advance healthcare, and the rising adoption of precision medicine. Countries like China, Japan, and India are leading the region with growing research infrastructure and collaborations between academia and industry. Additionally, the high prevalence of chronic diseases and cancer drives the demand for advanced transcriptomic tools. The region presents immense potential for technological advancements and market expansion.

Region with highest CAGR:

North America is expected to witness the highest CAGR over the forecast period driven by robust research infrastructure, high adoption of advanced genomic technologies, and strong government funding for precision medicine and genomics. The U.S. leads the region with extensive research activities in cancer, immunology, and neurobiology, supported by key players and academic institutions. Canada is also emerging as a significant contributor with growing investments in biotechnology. The presence of advanced bioinformatics tools and skilled professionals further accelerates market growth.

Key players in the market

Some of the key players profiled in the Single-Cell Analysis Transcriptomics Market include Thermo Fisher Scientific, Bio-Rad Laboratories, Becton, Dickinson and Company, QIAGEN N.V., Illumina Inc., PerkinElmer Inc., Agilent Technologies, Pacific Biosciences, Sartorius AG, Promega Corporation, Luminex Corporation, Merck KGaA, Zephyrus Biosciences, Miltenyi Biotec, Oxford Nanopore Technologies, Novogene Corporation, Fluidigm Corporation, Cell Signaling Technology Inc., 10x Genomics and NanoString Technologies.

Key Developments:

In October 2024, Cell Signaling Technology (CST) has announced the launch of InTraSeq(TM) Single Cell Analysis Reagents, a reliable, efficient and convenient way to simultaneously detect and study intracellular proteins and the transcriptome in a single-cell experiment, while guaranteeing a robust RNA signal.

In June 2024, Bio-Rad Laboratories, Inc. launched the ddSEQTM Single-Cell 3' RNA-Seq Kit and complementary Omnition v1.1 analysis software for single-cell transcriptome and gene expression research. Designed to be run on Bio-Rad's droplet-based single-cell isolation system, the ddSEQ Cell Isolator, the ddSEQ Single-Cell 3' RNA-Seq Kit delivers high-quality single-cell 3' RNA-Seq libraries in a fast, efficient, and affordable workflow, allowing researchers to easily conduct single-cell gene expression and regulation analyses.

Products Covered:

  • Instruments
  • Consumables

Analysis Types Covered:

  • Gene Expression Profiling
  • Epigenomics
  • Metabolomics
  • Proteomics
  • Other Analysis Types

Sample Types Covered:

  • Human Cells
  • Animal Cells
  • Microbial Cells
  • Plant Cells
  • Other Sample Types

Workflow Stages Covered:

  • Sample Preparation
  • Sample Isolation
  • Data Analysis
  • Data Interpretation
  • Other Workflow Stages

Technologies Covered:

  • Next-Generation Sequencing (NGS)
  • Polymerase Chain Reaction (PCR)
  • Microarrays
  • Single-Cell RNA Sequencing (scRNA-Seq)
  • In Situ Hybridization (ISH)
  • Other Technologies

Applications Covered:

  • Cancer Genomics
  • Neurology
  • Immunology
  • Stem Cell Research
  • Disease Diagnosis
  • Personalized Medicine
  • Biomarker Discovery
  • Other Applications

End Users Covered:

  • Academic & Research Institutions
  • Pharmaceutical & Biotechnology Companies
  • Hospitals & Diagnostic Laboratories
  • Contract Research Organizations (CROs)
  • 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 Product Analysis
  • 3.7 Technology Analysis
  • 3.8 Application Analysis
  • 3.9 End User Analysis
  • 3.10 Emerging Markets
  • 3.11 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 Single-Cell Analysis Transcriptomics Market, By Product

  • 5.1 Introduction
  • 5.2 Instruments
    • 5.2.1 Sequencers
    • 5.2.2 Flow Cytometers
    • 5.2.3 Microscopes
  • 5.3 Consumables
    • 5.3.1 Reagents & Kits
    • 5.3.2 Microplates
    • 5.3.3 Beads

6 Global Single-Cell Analysis Transcriptomics Market, By Analysis Type

  • 6.1 Introduction
  • 6.2 Gene Expression Profiling
  • 6.3 Epigenomics
  • 6.4 Metabolomics
  • 6.5 Proteomics
  • 6.6 Other Analysis Types

7 Global Single-Cell Analysis Transcriptomics Market, By Sample Type

  • 7.1 Introduction
  • 7.2 Human Cells
  • 7.3 Animal Cells
  • 7.4 Microbial Cells
  • 7.5 Plant Cells
  • 7.6 Other Sample Types

8 Global Single-Cell Analysis Transcriptomics Market, By Workflow Stage

  • 8.1 Introduction
  • 8.2 Sample Preparation
  • 8.3 Sample Isolation
  • 8.4 Data Analysis
  • 8.5 Data Interpretation
  • 8.6 Other Workflow Stages

9 Global Single-Cell Analysis Transcriptomics Market, By Technology

  • 9.1 Introduction
  • 9.2 Next-Generation Sequencing (NGS)
  • 9.3 Polymerase Chain Reaction (PCR)
  • 9.4 Microarrays
  • 9.5 Single-Cell RNA Sequencing (scRNA-Seq)
  • 9.6 In Situ Hybridization (ISH)
  • 9.7 Other Technologies

10 Global Single-Cell Analysis Transcriptomics Market, By Application

  • 10.1 Introduction
  • 10.2 Cancer Genomics
  • 10.3 Neurology
  • 10.4 Immunology
  • 10.5 Stem Cell Research
  • 10.6 Disease Diagnosis
  • 10.7 Personalized Medicine
  • 10.8 Biomarker Discovery
  • 10.9 Other Applications

11 Global Single-Cell Analysis Transcriptomics Market, By End User

  • 11.1 Introduction
  • 11.2 Academic & Research Institutions
  • 11.3 Pharmaceutical & Biotechnology Companies
  • 11.4 Hospitals & Diagnostic Laboratories
  • 11.5 Contract Research Organizations (CROs)
  • 11.6 Other End Users

12 Global Single-Cell Analysis Transcriptomics Market, By Geography

  • 12.1 Introduction
  • 12.2 North America
    • 12.2.1 US
    • 12.2.2 Canada
    • 12.2.3 Mexico
  • 12.3 Europe
    • 12.3.1 Germany
    • 12.3.2 UK
    • 12.3.3 Italy
    • 12.3.4 France
    • 12.3.5 Spain
    • 12.3.6 Rest of Europe
  • 12.4 Asia Pacific
    • 12.4.1 Japan
    • 12.4.2 China
    • 12.4.3 India
    • 12.4.4 Australia
    • 12.4.5 New Zealand
    • 12.4.6 South Korea
    • 12.4.7 Rest of Asia Pacific
  • 12.5 South America
    • 12.5.1 Argentina
    • 12.5.2 Brazil
    • 12.5.3 Chile
    • 12.5.4 Rest of South America
  • 12.6 Middle East & Africa
    • 12.6.1 Saudi Arabia
    • 12.6.2 UAE
    • 12.6.3 Qatar
    • 12.6.4 South Africa
    • 12.6.5 Rest of Middle East & Africa

13 Key Developments

  • 13.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 13.2 Acquisitions & Mergers
  • 13.3 New Product Launch
  • 13.4 Expansions
  • 13.5 Other Key Strategies

14 Company Profiling

  • 14.1 Thermo Fisher Scientific
  • 14.2 Bio-Rad Laboratories
  • 14.3 Becton, Dickinson and Company
  • 14.4 QIAGEN N.V.
  • 14.5 Illumina Inc.
  • 14.6 PerkinElmer Inc.
  • 14.7 Agilent Technologies
  • 14.8 Pacific Biosciences
  • 14.9 Sartorius AG
  • 14.10 Promega Corporation
  • 14.11 Luminex Corporation
  • 14.12 Merck KGaA
  • 14.13 Zephyrus Biosciences
  • 14.14 Miltenyi Biotec
  • 14.15 Oxford Nanopore Technologies
  • 14.16 Novogene Corporation
  • 14.17 Fluidigm Corporation
  • 14.18 Cell Signaling Technology Inc.
  • 14.19 10x Genomics
  • 14.20 NanoString Technologies

List of Tables

  • Table 1 Global Single-Cell Analysis Transcriptomics Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Single-Cell Analysis Transcriptomics Market Outlook, By Product (2022-2030) ($MN)
  • Table 3 Global Single-Cell Analysis Transcriptomics Market Outlook, By Instruments (2022-2030) ($MN)
  • Table 4 Global Single-Cell Analysis Transcriptomics Market Outlook, By Sequencers (2022-2030) ($MN)
  • Table 5 Global Single-Cell Analysis Transcriptomics Market Outlook, By Flow Cytometers (2022-2030) ($MN)
  • Table 6 Global Single-Cell Analysis Transcriptomics Market Outlook, By Microscopes (2022-2030) ($MN)
  • Table 7 Global Single-Cell Analysis Transcriptomics Market Outlook, By Consumables (2022-2030) ($MN)
  • Table 8 Global Single-Cell Analysis Transcriptomics Market Outlook, By Reagents & Kits (2022-2030) ($MN)
  • Table 9 Global Single-Cell Analysis Transcriptomics Market Outlook, By Microplates (2022-2030) ($MN)
  • Table 10 Global Single-Cell Analysis Transcriptomics Market Outlook, By Beads (2022-2030) ($MN)
  • Table 11 Global Single-Cell Analysis Transcriptomics Market Outlook, By Analysis Type (2022-2030) ($MN)
  • Table 12 Global Single-Cell Analysis Transcriptomics Market Outlook, By Gene Expression Profiling (2022-2030) ($MN)
  • Table 13 Global Single-Cell Analysis Transcriptomics Market Outlook, By Epigenomics (2022-2030) ($MN)
  • Table 14 Global Single-Cell Analysis Transcriptomics Market Outlook, By Metabolomics (2022-2030) ($MN)
  • Table 15 Global Single-Cell Analysis Transcriptomics Market Outlook, By Proteomics (2022-2030) ($MN)
  • Table 16 Global Single-Cell Analysis Transcriptomics Market Outlook, By Other Analysis Types (2022-2030) ($MN)
  • Table 17 Global Single-Cell Analysis Transcriptomics Market Outlook, By Sample Type (2022-2030) ($MN)
  • Table 18 Global Single-Cell Analysis Transcriptomics Market Outlook, By Human Cells (2022-2030) ($MN)
  • Table 19 Global Single-Cell Analysis Transcriptomics Market Outlook, By Animal Cells (2022-2030) ($MN)
  • Table 20 Global Single-Cell Analysis Transcriptomics Market Outlook, By Microbial Cells (2022-2030) ($MN)
  • Table 21 Global Single-Cell Analysis Transcriptomics Market Outlook, By Plant Cells (2022-2030) ($MN)
  • Table 22 Global Single-Cell Analysis Transcriptomics Market Outlook, By Other Sample Types (2022-2030) ($MN)
  • Table 23 Global Single-Cell Analysis Transcriptomics Market Outlook, By Workflow Stage (2022-2030) ($MN)
  • Table 24 Global Single-Cell Analysis Transcriptomics Market Outlook, By Sample Preparation (2022-2030) ($MN)
  • Table 25 Global Single-Cell Analysis Transcriptomics Market Outlook, By Sample Isolation (2022-2030) ($MN)
  • Table 26 Global Single-Cell Analysis Transcriptomics Market Outlook, By Data Analysis (2022-2030) ($MN)
  • Table 27 Global Single-Cell Analysis Transcriptomics Market Outlook, By Data Interpretation (2022-2030) ($MN)
  • Table 28 Global Single-Cell Analysis Transcriptomics Market Outlook, By Other Workflow Stages (2022-2030) ($MN)
  • Table 29 Global Single-Cell Analysis Transcriptomics Market Outlook, By Technology (2022-2030) ($MN)
  • Table 30 Global Single-Cell Analysis Transcriptomics Market Outlook, By Next-Generation Sequencing (NGS) (2022-2030) ($MN)
  • Table 31 Global Single-Cell Analysis Transcriptomics Market Outlook, By Polymerase Chain Reaction (PCR) (2022-2030) ($MN)
  • Table 32 Global Single-Cell Analysis Transcriptomics Market Outlook, By Microarrays (2022-2030) ($MN)
  • Table 33 Global Single-Cell Analysis Transcriptomics Market Outlook, By Single-Cell RNA Sequencing (scRNA-Seq) (2022-2030) ($MN)
  • Table 34 Global Single-Cell Analysis Transcriptomics Market Outlook, By In Situ Hybridization (ISH) (2022-2030) ($MN)
  • Table 35 Global Single-Cell Analysis Transcriptomics Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 36 Global Single-Cell Analysis Transcriptomics Market Outlook, By Application (2022-2030) ($MN)
  • Table 37 Global Single-Cell Analysis Transcriptomics Market Outlook, By Cancer Genomics (2022-2030) ($MN)
  • Table 38 Global Single-Cell Analysis Transcriptomics Market Outlook, By Neurology (2022-2030) ($MN)
  • Table 39 Global Single-Cell Analysis Transcriptomics Market Outlook, By Immunology (2022-2030) ($MN)
  • Table 40 Global Single-Cell Analysis Transcriptomics Market Outlook, By Stem Cell Research (2022-2030) ($MN)
  • Table 41 Global Single-Cell Analysis Transcriptomics Market Outlook, By Disease Diagnosis (2022-2030) ($MN)
  • Table 42 Global Single-Cell Analysis Transcriptomics Market Outlook, By Personalized Medicine (2022-2030) ($MN)
  • Table 43 Global Single-Cell Analysis Transcriptomics Market Outlook, By Biomarker Discovery (2022-2030) ($MN)
  • Table 44 Global Single-Cell Analysis Transcriptomics Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 45 Global Single-Cell Analysis Transcriptomics Market Outlook, By End User (2022-2030) ($MN)
  • Table 46 Global Single-Cell Analysis Transcriptomics Market Outlook, By Academic & Research Institutions (2022-2030) ($MN)
  • Table 47 Global Single-Cell Analysis Transcriptomics Market Outlook, By Pharmaceutical & Biotechnology Companies (2022-2030) ($MN)
  • Table 48 Global Single-Cell Analysis Transcriptomics Market Outlook, By Hospitals & Diagnostic Laboratories (2022-2030) ($MN)
  • Table 49 Global Single-Cell Analysis Transcriptomics Market Outlook, By Contract Research Organizations (CROs) (2022-2030) ($MN)
  • Table 50 Global Single-Cell Analysis Transcriptomics Market Outlook, By Other End Users (2022-2030) ($MN)

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