NGSベースRNAシーケンシング市場- 世界の産業規模、シェア、動向、機会、予測、製品・サービス別、技術別、用途別、エンドユーザー別、地域別、競合別セグメント、2019-2029年

世界のNGSベースRNAシーケンシング市場は2023年に26億7,000万米ドルと評価され、2029年までの予測期間にはCAGR 6.13％で目覚ましい成長を遂げると思われます。

次世代シーケンシング（NGS）ベースのRNAシーケンシング（しばしばRNA-Seqと略される）は、トランスクリプトームを解析するために使用される強力な技術です。RNA-Seqにより、研究者は遺伝子発現レベル、代替スプライシングパターン、RNA修飾、その他のトランスクリプトームの特徴を高いスループットと分解能で調査することができます。目的のRNA分子は、RNAの完全性を保ち、分解を最小限に抑える特別なプロトコルを用いて細胞または組織から抽出されます。メッセンジャーRNA（mRNA）、ノンコーディングRNA（マイクロRNA、ロング・ノンコーディングRNAなど）、リボソームRNA（rRNA）を含む全RNAがサンプルから単離され、精製されます。単離されたRNA分子は、一連の酵素反応によってシーケンスライブラリーに変換されます。ライブラリー調製中、RNAは断片化され、逆転写酵素を用いて相補的DNA（cDNA）に逆転写され、配列決定を可能にするためにcDNA断片にアダプターがライゲーションされます。鎖RNA-Seq、poly（A）-enriched RNA-Seq、total RNA-Seqなど、さまざまなRNA-Seqアプリケーションに対応するため、さまざまなライブラリー調製キットやプロトコルが利用可能です。調製されたRNA-Seqライブラリーは、Illumina、Ion Torrent、PacBioシーケンサーなどの高スループットNGSプラットフォームを使ってシーケンスされます。シーケンス中、蛍光標識されたヌクレオチドがDNAまたはRNA分子の相補鎖に組み込まれ、数百万から数十億の短いシーケンシングリードが超並列的に生成されます。

次世代シーケンス（NGS）技術の絶え間ない進歩により、RNAシーケンスのスピード、精度、費用対効果が大幅に向上しました。ロングリードシーケンス、シングルセルRNAシーケンス、リアルタイムシーケンス機能などの革新により、RNAシーケンスの応用範囲とアクセシビリティが拡大し、市場成長を牽引しています。ゲノム研究、特にトランスクリプトミクスやファンクショナルゲノミクスなどの分野への関心と投資の高まりが、RNAシーケンス技術の需要を促進しています。分子生物学、医学、農業、バイオテクノロジーなどさまざまな分野の研究者が、遺伝子発現、スプライシングバリアント、RNA修飾、制御ネットワークの調査にRNAシーケンスを利用しています。RNAシーケンシングは、特に腫瘍学や希少疾患の臨床診断にますます活用されるようになっています。RNAシーケンスを用いて遺伝子融合、変異、発現パターンを検出する能力は、がんの診断、予後、治療選択に役立ちます。さらに、RNAシーケンスは希少疾患や未診断疾患の原因遺伝子変異の同定を容易にし、臨床診療や分子病理学への統合を促進します。

主な市場促進要因

シーケンス技術の進歩

ゲノム研究の急成長

臨床診断におけるアプリケーションの拡大

主な市場課題

データ解析と解釈の複雑さ

サンプルの不均一性と複雑性

主な市場動向

トランスクリプトミクスにおけるNGSの採用増加

目次

第1章 概要

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 顧客の声

第5章 世界のNGSベースRNAシーケンシング市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • 製品・サービス別（RNAシーケンシングプラットフォームおよび消耗品、サンプル調製製品、RNAシーケンシングサービス、データ分析、保管および管理）
  • 技術別（合成によるシーケンシング、イオン半導体シーケンシング、単一分子リアルタイムシーケンシング、ナノポアシーケンシング）
  • 用途別（発現プロファイリング解析、small RNAシーケンシング、デノボトランスクリプトームアセンブリ、バリアントコール、トランスクリプトームエピジェネティクス）
  • エンドユーザー別（調査・学術機関、病院・診療所、製薬・バイオテクノロジー企業、その他）
  • 地域別
  • 企業別（2023）
• 市場マップ

第6章 北米のNGSベースRNAシーケンシング市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • 製品・サービス別
  • 技術別
  • 用途別
  • エンドユーザー別
  • 国別
• 北米：国別分析
  • 米国
  • カナダ
  • メキシコ

第7章 欧州のNGSベースRNAシーケンシング市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • 製品・サービス別
  • 技術別
  • 用途別
  • エンドユーザー別
  • 国別
• 欧州：国別分析
  • ドイツ
  • 英国
  • イタリア
  • フランス
  • スペイン

第8章 アジア太平洋地域のNGSベースRNAシーケンシング市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • 製品・サービス別
  • 技術別
  • 用途別
  • エンドユーザー別
  • 国別
• アジア太平洋地域：国別分析
  • 中国
  • インド
  • 日本
  • 韓国
  • オーストラリア

第9章 南米のNGSベースRNAシーケンシング市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • 製品・サービス別
  • 技術別
  • 用途別
  • エンドユーザー別
  • 国別
• 南米：国別分析
  • ブラジル
  • アルゼンチン
  • コロンビア

第10章 中東・アフリカのNGSベースRNAシーケンシング市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • 製品・サービス別
  • 技術別
  • 用途別
  • エンドユーザー別
  • 国別
• 中東・アフリカ：国別分析
  • 南アフリカ
  • サウジアラビア
  • アラブ首長国連邦

第11章 市場力学

• 促進要因
• 課題

第12章 市場動向と発展

• 合併および買収（該当する場合）
• 製品の発売（ある場合）
• 最近の動向

第13章 ポーターのファイブフォース分析

• 業界内の競合
• 新規参入の可能性
• サプライヤーの力
• 顧客の力
• 代替品の脅威

第14章 競合情勢

• Illumina Inc.
• Thermo Fischer Scientific Inc.
• Oxford Nanopore Technologies plc
• Agilent Technologies, Inc.
• PerkinElmer Inc
• QIAGEN N.V
• Eurofins Scientific SE
• F. Hoffmann-La Roche Ltd
• Takara Bio Inc.
• Azenta Life Sciences

第15章 戦略的提言

第16章 調査会社について・免責事項

Global NGS-Based RNA-Sequencing Market was valued at USD 2.67 billion in 2023 and will see an impressive growth in the forecast period at a CAGR of 6.13% through 2029. Next-Generation Sequencing (NGS)-Based RNA-Sequencing, often abbreviated as RNA-Seq, is a powerful technique used to analyze the transcriptome, which refers to the complete set of RNA molecules in a cell or tissue at a specific time point. RNA-Seq allows researchers to investigate gene expression levels, alternative splicing patterns, RNA modifications, and other transcriptomic features with high throughput and resolution. The RNA molecules of interest are extracted from cells or tissues using specialized protocols that preserve RNA integrity and minimize degradation. Total RNA, which includes messenger RNA (mRNA), non-coding RNA (e.g., microRNA, long non-coding RNA), and ribosomal RNA (rRNA), is isolated and purified from the sample. The isolated RNA molecules are converted into a sequencing library through a series of enzymatic reactions. During library preparation, the RNA is fragmented into smaller pieces, reverse transcribed into complementary DNA (cDNA) using reverse transcriptase enzymes, and adapters are ligated to the cDNA fragments to enable sequencing. Various library preparation kits and protocols are available to accommodate different RNA-Seq applications, such as stranded RNA-Seq, poly(A)-enriched RNA-Seq, and total RNA-Seq. The prepared RNA-Seq libraries are sequenced using high-throughput NGS platforms, such as Illumina, Ion Torrent, or PacBio sequencers. During sequencing, fluorescently labeled nucleotides are incorporated into complementary strands of DNA or RNA molecules, generating millions to billions of short sequencings reads in a massively parallel fashion.

Continuous advancements in next-generation sequencing (NGS) technologies have significantly improved the speed, accuracy, and cost-effectiveness of RNA sequencing. Innovations such as long-read sequencing, single-cell RNA sequencing, and real-time sequencing capabilities have expanded the applications and accessibility of RNA sequencing, driving market growth. The growing interest and investment in genomic research, particularly in areas such as transcriptomics and functional genomics, fuel the demand for RNA sequencing technologies. Researchers across various fields, including molecular biology, medicine, agriculture, and biotechnology, rely on RNA sequencing to investigate gene expression, splicing variants, RNA modifications, and regulatory networks. RNA sequencing is increasingly utilized for clinical diagnostics, particularly in oncology and rare diseases. The ability to detect gene fusions, mutations, and expression patterns using RNA sequencing aids in cancer diagnosis, prognosis, and treatment selection. Additionally, RNA sequencing facilitates the identification of causative genetic variants in rare and undiagnosed diseases, driving its integration into clinical practice and molecular pathology.

Key Market Drivers

Advancements in Sequencing Technologies

NGS technologies represent a paradigm shift in DNA sequencing, allowing for high-throughput sequencing of DNA and RNA molecules. NGS platforms, such as Illumina's sequencing systems, enable researchers to sequence millions of DNA fragments or RNA transcripts in parallel, significantly increasing sequencing speed and throughput compared to traditional Sanger sequencing methods. Single-cell sequencing technologies enable the profiling of individual cells' genomes, transcriptomes, and epigenomes with high resolution. These technologies, including single-cell RNA sequencing (scRNA-seq), single-cell DNA sequencing (scDNA-seq), and single-cell ATAC-seq (scATAC-seq), provide insights into cellular heterogeneity, developmental processes, and disease mechanisms at the single-cell level. Long-read sequencing technologies, such as those offered by Pacific Biosciences (PacBio) and Oxford Nanopore Technologies, generate sequencing reads that span thousands to tens of thousands of base pairs. Long-read sequencing facilitates the detection of structural variations, complex genomic rearrangements, and full-length transcripts, overcoming limitations associated with short-read sequencing technologies.

Real-time sequencing platforms, such as nanopore sequencing by Oxford Nanopore Technologies, enable the direct, label-free detection of nucleic acids as they pass through nanopores. Real-time sequencing provides rapid turnaround times, enables dynamic monitoring of biological processes, and supports applications such as pathogen detection, environmental surveillance, and RNA transcript analysis. Epigenetic sequencing technologies, including DNA methylation sequencing (e.g., bisulfite sequencing) and chromatin immunoprecipitation sequencing (ChIP-seq), allow researchers to study epigenetic modifications and chromatin dynamics at genome-wide scales. These technologies provide insights into gene regulation, cell differentiation, and disease mechanisms by profiling DNA methylation patterns, histone modifications, and transcription factor binding sites. Metagenomic sequencing enables the comprehensive analysis of microbial communities and environmental samples without the need for culture-based methods. Metagenomic sequencing technologies, such as shotgun metagenomics and 16S rRNA gene sequencing, facilitate the identification of microbial species, functional gene annotation, and microbiome characterization in diverse habitats, including the human gut, soil, water, and air. This factor will help in the development of the Global NGS-Based RNA-Sequencing Market.

Rapid Growth of Genomic Research

Genomic research encompasses a wide range of applications, including transcriptomics, epigenomics, metagenomics, and comparative genomics. RNA sequencing, specifically, provides insights into gene expression patterns, alternative splicing events, RNA modifications, and regulatory networks. Researchers leverage RNA sequencing data to study development, disease mechanisms, drug responses, and evolutionary relationships across diverse biological systems. Advances in NGS technologies have democratized genomic research by enabling high-throughput sequencing of DNA and RNA molecules at unprecedented speed and scale. NGS platforms, such as Illumina's sequencing systems and those offered by other manufacturers, facilitate the generation of large volumes of sequencing data with high accuracy and resolution. These technological advancements have expanded the accessibility of RNA sequencing to researchers in academia, industry, and clinical settings. The decreasing costs of sequencing technologies and associated reagents have made RNA sequencing more affordable and accessible to research laboratories worldwide. As the price per base pair continues to decline, researchers can conduct large-scale RNA sequencing experiments, population-based studies, and longitudinal analyses without significant financial constraints. The affordability of RNA sequencing drives its widespread adoption across diverse research disciplines and institutions.

Genomic research increasingly integrates RNA sequencing with other omics technologies, such as DNA sequencing, epigenetic profiling, proteomics, and metabolomics. Multi-omics approaches enable comprehensive molecular profiling and systems-level analysis of biological systems, providing a holistic view of gene regulation, signaling pathways, and cellular interactions. RNA sequencing data complement other omics datasets, enhancing our understanding of complex biological processes and disease phenotypes. Genomic research findings have translational implications for healthcare, agriculture, environmental science, and biotechnology. RNA sequencing technologies play a crucial role in translational research and clinical applications, including biomarker discovery, diagnostic assay development, patient stratification, and treatment optimization. RNA sequencing data informs precision medicine approaches, facilitates the identification of therapeutic targets, and support evidence-based decision-making in clinical practice. This factor will pace up the demand of the Global NGS-Based RNA-Sequencing Market.

Expanding Applications in Clinical Diagnostics

NGS-based RNA sequencing enables precise molecular characterization of diseases, aiding in the development of personalized treatment strategies. By profiling RNA expression patterns, identifying genetic mutations, and detecting fusion genes, RNA sequencing helps clinicians tailor therapies to individual patients based on their unique genetic profiles. RNA sequencing is instrumental in cancer diagnostics and prognostics. It allows for the identification of gene expression signatures associated with different cancer types, tumor subtypes, and disease progression stages. RNA sequencing can detect driver mutations, predict treatment responses, monitor minimal residual disease, and identify drug resistance mechanisms, guiding clinical decision-making in oncology. NGS-based RNA sequencing facilitates the diagnosis of rare and undiagnosed diseases by identifying causative genetic variants, including point mutations, insertions/deletions, and copy number variations. RNA sequencing can uncover pathogenic mutations affecting gene expression, splicing, and regulatory elements, providing insights into disease mechanisms, and informing genetic counseling and family planning. RNA sequencing is increasingly used in the diagnosis and surveillance of infectious diseases, including viral infections, bacterial pathogens, and fungal pathogens. RNA sequencing can detect microbial RNA transcripts, viral RNA genomes, and host immune responses, enabling the rapid identification and characterization of infectious agents, monitoring of disease outbreaks, and assessment of antimicrobial resistance patterns.

RNA sequencing plays a crucial role in pharmacogenomics by identifying genetic variants associated with drug metabolism, drug efficacy, and adverse drug reactions. RNA sequencing data can predict individual responses to pharmacotherapy, optimize drug dosing regimens, and minimize adverse drug events, enhancing patient safety and treatment outcomes in clinical practice. RNA sequencing is utilized in non-invasive prenatal testing to detect fetal chromosomal abnormalities, such as trisomy 21 (Down syndrome), trisomy 18 (Edwards syndrome), and trisomy 13 (Patau syndrome). RNA sequencing of cell-free fetal RNA in maternal blood enables early detection of genetic disorders, reducing the need for invasive procedures like amniocentesis and chorionic villus sampling. RNA sequencing enables the analysis of circulating RNA biomarkers in blood, urine, and other body fluids for cancer detection, monitoring treatment response, and assessing disease recurrence. Liquid biopsy-based RNA sequencing offers a minimally invasive alternative to tissue biopsies and facilitates real-time monitoring of disease dynamics and therapeutic interventions. This factor will accelerate the demand of the Global NGS-Based RNA-Sequencing Market.

Key Market Challenges

Data Analysis and Interpretation Complexity

RNA-sequencing generates massive amounts of raw sequencing data that require sophisticated bioinformatics tools and computational expertise for analysis and interpretation. Analyzing transcriptomic data involves multiple steps, including quality control, read alignment, transcript quantification, differential gene expression analysis, pathway analysis, and functional annotation. Researchers often need specialized training in bioinformatics and computational biology to effectively analyze RNA-sequencing data and extract meaningful biological insights. There is a lack of standardized data analysis pipelines for RNA-sequencing data, leading to variability in analysis methodologies and results across different studies and laboratories. Researchers may use different software tools, algorithms, and parameters for data processing and analysis, which can impact the reproducibility and comparability of results. Establishing consensus guidelines and best practices for RNA-sequencing data analysis is essential for promoting consistency and transparency in research findings. RNA-sequencing data are inherently complex, reflecting the dynamic nature of gene expression and alternative splicing events across different biological conditions and cell types. Analyzing transcriptomic data requires accounting for various sources of variability, including technical noise, biological heterogeneity, and experimental confounders. Moreover, identifying biologically relevant signals amidst background noise and false positives poses challenges for data interpretation and validation.

Integrating RNA-sequencing data with other omics data types, such as genomics, proteomics, and metabolomics, adds another layer of complexity to data analysis and interpretation. Integrated multi-omics analyses enable researchers to gain a more comprehensive understanding of biological systems and disease mechanisms. However, integrating heterogeneous data sets from different experimental platforms and data sources requires specialized computational methods and tools for data integration, normalization, and statistical analysis. Ensuring the reproducibility and reliability of RNA-sequencing results is a critical concern in the field. Researchers must implement rigorous quality control measures throughout the experimental workflow to minimize technical artifacts, batch effects, and systematic biases that can confound data analysis and interpretation. Standardizing quality control metrics and reporting guidelines for RNA-sequencing experiments can help improve data reproducibility and facilitate data sharing and meta-analysis efforts.

Sample Heterogeneity and Complexity

Biological samples, particularly tissues and organs, consist of diverse cell populations with distinct gene expression profiles. Studying heterogeneous samples using RNA-sequencing requires methods to capture and analyze gene expression patterns at the single-cell or subpopulation level. Bulk RNA-sequencing may mask cell-specific gene expression signatures, leading to a loss of resolution and biological insights. Tumors are characterized by intratumoral heterogeneity, where different regions of the tumor exhibit distinct molecular profiles and cellular phenotypes. RNA-sequencing studies of tumors must account for spatial and temporal variations in gene expression, as well as the presence of rare cell populations, tumor subclones, and microenvironmental factors. Understanding tumor heterogeneity is critical for identifying therapeutic targets, predicting treatment response, and monitoring disease progression.

Biological systems exhibit dynamic changes in gene expression over time in response to developmental cues, environmental stimuli, and disease processes. Temporal dynamics pose challenges for RNA-sequencing experiments, as gene expression patterns may vary across different time points or experimental conditions. Longitudinal studies and time-series analyses are necessary to capture temporal changes in gene expression and unravel regulatory networks underlying dynamic biological processes. Biological samples are influenced by environmental factors, experimental conditions, and technical artifacts that can introduce variability and confound RNA-sequencing results. Sources of variation include sample processing methods, RNA extraction protocols, library preparation techniques, sequencing platforms, and computational pipelines. Controlling environmental and experimental factors is essential for minimizing batch effects, systematic biases, and false positives in RNA-sequencing experiments. Biological samples may contain rare cell populations or subtypes with unique gene expression profiles that are challenging to detect using bulk RNA-sequencing approaches. Single-cell RNA-sequencing (scRNA-seq) technologies enable the profiling of individual cells within heterogeneous populations, allowing researchers to identify rare cell types, characterize cell-to-cell variability, and dissect cellular heterogeneity at high resolution.

Key Market Trends

Increasing Adoption of NGS in Transcriptomics

NGS-based RNA-sequencing enables researchers to study gene expression patterns across the entire transcriptome in a high-throughput and unbiased manner. Unlike microarray-based methods, which are limited to the detection of predefined probes, RNA-sequencing provides greater sensitivity and dynamic range for detecting transcripts, alternative splicing events, and novel RNA isoforms. The transcriptome is highly complex, consisting of coding and non-coding RNAs with diverse functions and regulatory roles. NGS-based RNA-sequencing allows researchers to profile gene expression at single-nucleotide resolution, identify splice variants, quantify transcript abundance, and characterize RNA modifications with high precision. This resolution enables the discovery of novel transcripts, regulatory elements, and disease-associated biomarkers. NGS-based RNA-sequencing is widely used across various research areas, including basic biology, developmental biology, cancer biology, neuroscience, immunology, and infectious diseases. Transcriptomic studies provide insights into gene regulatory networks, cellular differentiation, disease mechanisms, drug responses, and biomarker discovery, driving the adoption of RNA-sequencing technologies in diverse scientific disciplines.

NGS-based RNA-sequencing is often integrated with other omics data types, such as genomics, epigenomics, proteomics, and metabolomics, to obtain a comprehensive understanding of biological systems and disease processes. Integrated multi-omics approaches enable researchers to correlate gene expression patterns with genetic variations, epigenetic modifications, protein abundance, and metabolic pathways, facilitating systems-level analyses and translational research applications. NGS-based RNA-sequencing is increasingly used in clinical research and diagnostics, particularly in the field of precision medicine. Transcriptomic profiling of patient samples enables the identification of disease-specific gene expression signatures, patient stratification based on molecular subtypes, and prediction of treatment responses. RNA-sequencing data also informs the development of targeted therapies, biomarker-driven clinical trials, and personalized treatment strategies for cancer and other complex diseases.

Segmental Insights

Technology Insights

The Nanopore Sequencing segment is projected to experience rapid growth in the Global NGS-Based RNA-Sequencing Market during the forecast period. Nanopore sequencing technology offers the advantage of producing long read lengths, which enables the direct sequencing of RNA molecules without the need for fragmentation or amplification. Long-read RNA sequencing allows for the characterization of full-length transcripts, including isoforms and splice variants, providing valuable insights into RNA structure, function, and regulation. Researchers and clinicians increasingly recognize the importance of long-read sequencing in accurately capturing complex RNA landscapes, driving the demand for nanopore sequencing platforms. One of the distinctive features of nanopore sequencing is its ability to perform real-time, single-molecule sequencing. This real-time capability allows researchers to observe RNA molecules as they pass through nanopores, enabling dynamic monitoring of RNA modifications, kinetics of RNA processing events, and RNA-protein interactions. Real-time nanopore sequencing offers unprecedented insights into RNA biology and gene expression dynamics, making it an attractive tool for a wide range of research applications. Nanopore sequencing platforms, such as those offered by Oxford Nanopore Technologies, are known for their portability and ease of use. These compact, handheld devices enable RNA sequencing to be performed in various settings, including fieldwork, point-of-care diagnostics, and resource-limited environments. The accessibility and flexibility of nanopore sequencing systems democratize RNA sequencing and empower researchers and clinicians worldwide to conduct studies and diagnostics in diverse settings. Nanopore sequencing is versatile and applicable to a wide range of RNA sequencing applications, including transcriptome profiling, RNA modification analysis, RNA structural characterization, and viral RNA detection. The versatility of nanopore sequencing technology allows researchers to address diverse research questions and explore RNA biology in unprecedented detail, fostering its widespread adoption across academic, clinical, and industrial settings.

Regional Insights

North America emerged as the dominant region in the Global NGS-Based RNA-Sequencing Market in 2023. North America, particularly the United States, is a leading hub for biomedical research and innovation. The region is home to numerous prestigious universities, research institutions, and biotechnology companies that actively invest in genomics and RNA sequencing technologies. This concentration of expertise and resources fosters the development and adoption of next-generation sequencing (NGS) techniques, including RNA sequencing. North America boasts a robust biotechnology and pharmaceutical industry, comprising both established companies and startups. These organizations conduct extensive research and development (R&D) in areas such as drug discovery, diagnostics, and personalized medicine, all of which heavily rely on RNA sequencing technologies. The demand for NGS-based RNA sequencing solutions is driven by the need to understand gene expression patterns, identify therapeutic targets, and develop novel treatments for diseases.

Key Market Players

Illumina Inc.

Thermo Fischer Scientific Inc.

Oxford Nanopore Technologies plc

Agilent Technologies, Inc.

PerkinElmer Inc

QIAGEN N.V.

Eurofins Scientific SE

F. Hoffmann-La Roche Ltd

Takara Bio Inc.

Azenta Life Sciences

Report Scope:

In this report, the Global NGS-Based RNA-Sequencing Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

NGS-Based RNA-Sequencing Market, By Product and Services:

RNA Sequencing Platforms and Consumables Sample Preparation Products RNA Sequencing Services Data Analysis Storage and Management

NGS-Based RNA-Sequencing Market, By Technology:

Sequencing by Synthesis Ion Semiconductor Sequencing Single-Molecule Real-Time Sequencing Nanopore Sequencing

NGS-Based RNA-Sequencing Market, By Application:

Expression Profiling Analysis Small RNA Sequencing De Novo Transcriptome Assembly Variant Calling and Transcriptome Epigenetics

NGS-Based RNA-Sequencing Market, By End User:

Research and Academia Hospitals and Clinics Pharmaceutical and Biotechnology Companies Others

NGS-Based RNA-Sequencing Market, By Region:

North America

United States

Canada

Mexico

Europe

Germany

United Kingdom

France

Italy

Spain

Asia-Pacific

China

Japan

India

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 NGS-Based RNA-Sequencing Market.

Available Customizations:

Global NGS-Based RNA-Sequencing market report with the given market data, Tech Sci 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 & Validation
• 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 NGS-Based RNA-Sequencing Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Product and Services (RNA Sequencing Platforms and Consumables, Sample Preparation Products, RNA Sequencing Services, Data Analysis, Storage and Management)
  • 5.2.2. By Technology (Sequencing by Synthesis, Ion Semiconductor Sequencing, Single-Molecule Real-Time Sequencing, Nanopore Sequencing)
  • 5.2.3. By Application (Expression Profiling Analysis, Small RNA Sequencing, De Novo Transcriptome Assembly, Variant Calling and Transcriptome Epigenetics)
  • 5.2.4. By End User (Research and Academia, Hospitals and Clinics, Pharmaceutical and Biotechnology Companies, Others)
  • 5.2.5. By Region
  • 5.2.6. By Company (2023)
• 5.3. Market Map

6. North America NGS-Based RNA-Sequencing Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Product and Services
  • 6.2.2. By Technology
  • 6.2.3. By Application
  • 6.2.4. By End User
  • 6.2.5. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States NGS-Based RNA-Sequencing 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 and Services
      • 6.3.1.2.2. By Technology
      • 6.3.1.2.3. By Application
      • 6.3.1.2.4. By End User
  • 6.3.2. Canada NGS-Based RNA-Sequencing 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 and Services
      • 6.3.2.2.2. By Technology
      • 6.3.2.2.3. By Application
      • 6.3.2.2.4. By End User
  • 6.3.3. Mexico NGS-Based RNA-Sequencing 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 and Services
      • 6.3.3.2.2. By Technology
      • 6.3.3.2.3. By Application
      • 6.3.3.2.4. By End User

7. Europe NGS-Based RNA-Sequencing Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Product and Services
  • 7.2.2. By Technology
  • 7.2.3. By Application
  • 7.2.4. By End User
  • 7.2.5. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany NGS-Based RNA-Sequencing 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 and Services
      • 7.3.1.2.2. By Technology
      • 7.3.1.2.3. By Application
      • 7.3.1.2.4. By End User
  • 7.3.2. United Kingdom NGS-Based RNA-Sequencing 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 and Services
      • 7.3.2.2.2. By Technology
      • 7.3.2.2.3. By Application
      • 7.3.2.2.4. By End User
  • 7.3.3. Italy NGS-Based RNA-Sequencing 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 and Services
      • 7.3.3.2.2. By Technology
      • 7.3.3.2.3. By Application
      • 7.3.3.2.4. By End User
  • 7.3.4. France NGS-Based RNA-Sequencing 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 and Services
      • 7.3.4.2.2. By Technology
      • 7.3.4.2.3. By Application
      • 7.3.4.2.4. By End User
  • 7.3.5. Spain NGS-Based RNA-Sequencing 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 and Services
      • 7.3.5.2.2. By Technology
      • 7.3.5.2.3. By Application
      • 7.3.5.2.4. By End User

8. Asia-Pacific NGS-Based RNA-Sequencing Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Product and Services
  • 8.2.2. By Technology
  • 8.2.3. By Application
  • 8.2.4. By End User
  • 8.2.5. By Country
• 8.3. Asia-Pacific: Country Analysis
  • 8.3.1. China NGS-Based RNA-Sequencing 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 and Services
      • 8.3.1.2.2. By Technology
      • 8.3.1.2.3. By Application
      • 8.3.1.2.4. By End User
  • 8.3.2. India NGS-Based RNA-Sequencing 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 and Services
      • 8.3.2.2.2. By Technology
      • 8.3.2.2.3. By Application
      • 8.3.2.2.4. By End User
  • 8.3.3. Japan NGS-Based RNA-Sequencing 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 and Services
      • 8.3.3.2.2. By Technology
      • 8.3.3.2.3. By Application
      • 8.3.3.2.4. By End User
  • 8.3.4. South Korea NGS-Based RNA-Sequencing 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 and Services
      • 8.3.4.2.2. By Technology
      • 8.3.4.2.3. By Application
      • 8.3.4.2.4. By End User
  • 8.3.5. Australia NGS-Based RNA-Sequencing 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 and Services
      • 8.3.5.2.2. By Technology
      • 8.3.5.2.3. By Application
      • 8.3.5.2.4. By End User

9. South America NGS-Based RNA-Sequencing Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Product and Services
  • 9.2.2. By Technology
  • 9.2.3. By Application
  • 9.2.4. By End User
  • 9.2.5. By Country
• 9.3. South America: Country Analysis
  • 9.3.1. Brazil NGS-Based RNA-Sequencing 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 and Services
      • 9.3.1.2.2. By Technology
      • 9.3.1.2.3. By Application
      • 9.3.1.2.4. By End User
  • 9.3.2. Argentina NGS-Based RNA-Sequencing 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 and Services
      • 9.3.2.2.2. By Technology
      • 9.3.2.2.3. By Application
      • 9.3.2.2.4. By End User
  • 9.3.3. Colombia NGS-Based RNA-Sequencing 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 and Services
      • 9.3.3.2.2. By Technology
      • 9.3.3.2.3. By Application
      • 9.3.3.2.4. By End User

10. Middle East and Africa NGS-Based RNA-Sequencing Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Product and Services
  • 10.2.2. By Technology
  • 10.2.3. By Application
  • 10.2.4. By End User
  • 10.2.5. By Country
• 10.3. MEA: Country Analysis
  • 10.3.1. South Africa NGS-Based RNA-Sequencing 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 and Services
      • 10.3.1.2.2. By Technology
      • 10.3.1.2.3. By Application
      • 10.3.1.2.4. By End User
  • 10.3.2. Saudi Arabia NGS-Based RNA-Sequencing 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 and Services
      • 10.3.2.2.2. By Technology
      • 10.3.2.2.3. By Application
      • 10.3.2.2.4. By End User
  • 10.3.3. UAE NGS-Based RNA-Sequencing 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 and Services
      • 10.3.3.2.2. By Technology
      • 10.3.3.2.3. By Application
      • 10.3.3.2.4. By End User

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 Product

14. Competitive Landscape

• 14.1. Illumina 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. Thermo Fischer Scientific Inc.
• 14.3. Oxford Nanopore Technologies plc
• 14.4. Agilent Technologies, Inc.
• 14.5. PerkinElmer Inc
• 14.6. QIAGEN N.V
• 14.7. Eurofins Scientific SE
• 14.8. F. Hoffmann-La Roche Ltd
• 14.9. Takara Bio Inc.
• 14.10.Azenta Life Sciences

15. Strategic Recommendations

16. About Us & Disclaimer