遺伝子発現解析の世界市場 - 世界の産業規模、シェア、動向、機会、および予測、2018年～2028年、製品タイプ別、技術別、用途別、エンドユーザー別、地域別、競合別

世界の遺伝子発現解析市場は2022年に47億6,000万米ドルと評価され、2028年までのCAGRは7.45%で、予測期間中に力強い成長が予測されています。

遺伝子発現解析の世界市場は、ライフサイエンスとバイオテクノロジーの分野でダイナミックかつ急速に発展している分野です。この市場には、細胞や組織における遺伝子の発現パターンを理解し定量化することを目的とした技術、製品、サービスが幅広く含まれています。遺伝子発現解析は、創薬や研究開発、診断、個別化医療、基礎研究など、さまざまな用途で極めて重要な役割を果たしており、現代の生物科学や医学にとって不可欠な要素となっています。この市場の成長促進要因のひとつは、個別化医療に対する需要の高まりです。遺伝子発現プロファイリングは、個人のユニークな遺伝子シグネチャーの同定を可能にし、オーダーメイドの治療戦略の開発を可能にします。さらに、RNA-Seqのようなハイスループットシーケンス技術の登場は、トランスクリプトームの包括的かつ定量的なビューを提供することにより、遺伝子発現解析に革命をもたらしました。このため、研究活動が急増し、新規解析ツールやプラットフォームの開発に投資が行われています。市場成長に寄与するもう1つの重要な要因は、がん研究における遺伝子発現解析の応用拡大です。研究者は遺伝子発現プロファイリングを利用して、がんの早期発見、予後予測、治療反応予測のためのバイオマーカーを同定しています。このため、学術機関、製薬企業、診断企業間の共同研究が活発化し、技術革新と市場拡大が促進されています。

同市場は熾烈な競合が特徴で、多数の既存企業と新興企業が市場シェアを争っています。主要市場参入企業は、マイクロアレイ技術、リアルタイムポリメラーゼ連鎖反応（PCR）、次世代シーケンシング（NGS）、バイオインフォマティクス・ソリューションなど、幅広い製品とサービスを提供しています。このように多様な製品を提供することで、様々な分野の研究者や臨床医の多様なニーズに対応しています。著しい成長の見込みがあるにもかかわらず、世界の遺伝子発現解析市場には、データ解析の複雑さ、標準化の問題、規制上のハードルなどの課題が残っています。しかし、現在進行中の技術の進歩や利害関係者間の協力的な取り組みにより、これらの課題に対処し、市場の拡大をさらに促進することが期待されます。

主な市場促進要因

シーケンス技術の進歩

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 世界の遺伝子発現解析市場の展望

• 市場規模・予測
  • 金額別
• 市場シェアと予測
  • 製品タイプ別（装置、サービス、その他）
  • 技術別（RNA発現、プロモーター解析、タンパク質発現＆翻訳後修飾発現、その他）
  • 用途別（創薬・医薬品開発、臨床診断、バイオテクノロジー・微生物、その他）
  • エンドユーザー別（製薬・バイオテクノロジー企業、CRO、学術・政府研究機関、その他）
  • 地域別
  • 企業別（2022年）
• 市場マップ
  • 製品タイプ別
  • 技術別
  • 用途別
  • エンドユーザー別
  • 地域別

第5章 アジア太平洋の遺伝子発現解析市場の展望

• 市場規模・予測
  • 金額別
• 市場シェアと予測
  • 製品タイプ別
  • 技術別
  • 用途別
  • エンドユーザー別
  • 国別
• アジア太平洋：国別分析
  • 中国
  • インド
  • オーストラリア
  • 日本
  • 韓国

第6章 欧州の遺伝子発現解析市場の展望

• 市場規模と予測
  • 金額別
• 市場シェアと予測
  • 製品タイプ別
  • 技術別
  • 用途別
  • エンドユーザー別
  • 国別
• 欧州：国別分析
  • フランス
  • ドイツ
  • スペイン
  • イタリア
  • 英国

第7章 北米の遺伝子発現解析市場の展望

• 市場規模・予測
  • 金額別
• 市場シェアと予測
  • 技術別
  • 製品タイプ別
  • エンドユーザー別
  • 用途別
  • 国別
• 北米：国別分析
  • 米国
  • メキシコ
  • カナダ

第8章 南米の遺伝子発現解析市場の展望

• 市場規模と予測
  • 金額別
• 市場シェア＆予測
  • 製品タイプ別
  • 技術別
  • 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9章 中東・アフリカの遺伝子発現解析市場の展望

• 市場規模・予測
  • 金額別
• 市場シェアと予測
  • 製品タイプ別
  • 薬剤タイプ別
  • 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
  • エジプト

第10章 市場力学

• 促進要因
• 課題

第11章 市場動向と発展

• 最近の動向
• 製品上市
• 合併と買収

第12章 世界の遺伝子発現解析市場SWOT分析

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

• Merck KGaA
  • Business Overview
  • Company Snapshot
  • Products & Services
  • Current Capacity Analysis
  • Financials（In case of listed）
  • Recent Developments
  • SWOT Analysis
• Genscript Biotech Corporation
• Qiagen
• Bio-Rad Laboratories
• Takara Bio Inc.
• Thermo Fisher Scientific, Inc.
• Promega Corporation
• Agilent Technologies
• Lonza Group Ltd.
• New England Biolabs Inc

第15章 戦略的提言

第16章 調査会社について・免責事項

Global Gene Expression Analysis Market has valued at USD 4.76 billion in 2022 and is anticipated to project robust growth in the forecast period with a CAGR of 7.45% through 2028. The Global Gene Expression Analysis Market is a dynamic and rapidly evolving sector within the field of life sciences and biotechnology. This market encompasses a wide range of technologies, products, and services aimed at understanding and quantifying the expression patterns of genes in cells and tissues. Gene expression analysis plays a pivotal role in various applications, including drug discovery and development, diagnostics, personalized medicine, and basic research, making it a critical component of modern biological and medical sciences. One of the primary drivers of growth in this market is the increasing demand for personalized medicine. Gene expression profiling allows for the identification of unique genetic signatures in individuals, enabling the development of tailored treatment strategies. Additionally, the advent of high-throughput sequencing technologies, such as RNA-Seq, has revolutionized gene expression analysis by providing a comprehensive and quantitative view of the transcriptome. This has led to a surge in research activities and investment in the development of novel analysis tools and platforms. Another significant factor contributing to market growth is the expanding application of gene expression analysis in cancer research. Researchers are using gene expression profiling to identify biomarkers for early cancer detection, prognosis, and treatment response prediction. This has fueled collaborations between academic institutions, pharmaceutical companies, and diagnostic companies, driving innovation and market expansion.

The market is characterized by intense competition, with numerous established companies and emerging players vying for market share. Key market participants offer a wide range of products and services, including microarray technologies, real-time polymerase chain reaction (PCR), next-generation sequencing (NGS), and bioinformatics solutions. This diversity in offerings caters to the diverse needs of researchers and clinicians across various disciplines. Despite the remarkable growth prospects, challenges persist in the Global Gene Expression Analysis Market, including data analysis complexities, standardization issues, and regulatory hurdles. However, ongoing advancements in technology and collaborative efforts among stakeholders are expected to address these challenges and further drive market expansion.

Key Market Drivers

Advancements in Sequencing Technologies

Advancements in sequencing technologies have been a driving force behind the remarkable growth of the Global Gene Expression Analysis Market. Next-generation sequencing (NGS) in particular has led a revolution in gene expression analysis by significantly enhancing the efficiency, speed, and cost-effectiveness of transcriptome profiling. These technological innovations have unleashed the full potential of gene expression analysis, propelling it to the forefront of biological and medical research. NGS has enabled researchers to simultaneously analyze the expression of thousands of genes across multiple samples with unprecedented accuracy and depth. This high-throughput capability has accelerated the pace of discovery in fields such as genomics, transcriptomics, and personalized medicine. Scientists can now obtain comprehensive snapshots of gene expression patterns in different tissues, cells, or disease states, allowing for a deeper understanding of complex biological processes.

Moreover, the continuous refinement of sequencing platforms and methodologies has made gene expression analysis more accessible to a broader range of researchers and institutions. The reduction in sequencing costs has democratized access to NGS technology, enabling smaller laboratories and research facilities to harness its power for a wide array of applications. The impact of sequencing advancements extends beyond traditional bulk RNA-Seq to emerging technologies like single-cell RNA sequencing (scRNA-Seq). ScRNA-Seq has revolutionized our ability to examine gene expression at the individual cell level, unraveling intricate cellular heterogeneity within tissues and enabling the discovery of rare cell populations. This breakthrough has profound implications for fields ranging from developmental biology to cancer research. Furthermore, long-read sequencing technologies have emerged, allowing researchers to study alternative splicing events and complex gene isoforms in greater detail. This level of granularity is crucial for understanding the functional diversity of genes and their roles in health and disease.

Cancer Research and Biomarker Discovery

Cancer research and biomarker discovery have emerged as powerful catalysts for the growth of the Global Gene Expression Analysis Market. The fight against cancer has intensified, and gene expression analysis has played a pivotal role in unraveling the complexities of this devastating disease. Researchers are harnessing the capabilities of gene expression profiling to identify and characterize specific biomarkers associated with different cancer types, stages, and individual patient responses to treatment. One of the key drivers of gene expression analysis within cancer research is its contribution to early detection. By scrutinizing the expression patterns of genes, scientists can identify subtle molecular changes that signal the presence of cancer long before clinical symptoms emerge. This early detection can significantly improve the chances of successful treatment and ultimately save lives.

Additionally, gene expression analysis has proven invaluable in cancer classification and prognosis. By examining the genetic signature of tumors, researchers can categorize cancers into distinct subtypes based on their gene expression profiles. These subtypes often exhibit different clinical behaviors and responses to therapies. Consequently, personalized treatment plans can be tailored to target the specific genetic characteristics of each patient's cancer, increasing the likelihood of therapeutic success. Furthermore, the development of targeted therapies in oncology heavily relies on gene expression analysis. By pinpointing the genetic drivers and pathways responsible for cancer growth, researchers can identify potential drug targets. This precision medicine approach minimizes the trial-and-error process associated with traditional cancer treatments, leading to more effective and less toxic therapies. Biomarker discovery is another pivotal aspect of cancer research fueled by gene expression analysis. Biomarkers are molecules, often genes or proteins, that indicate the presence of cancer or predict its behavior. These biomarkers can be used for early detection, disease monitoring, and assessing treatment responses.

Rising Biotechnology and Pharmaceutical Investments

The Global Gene Expression Analysis Market is experiencing a substantial boost from the rising investments in biotechnology and pharmaceutical industries. Gene expression analysis has become a linchpin in these sectors, playing a pivotal role in various stages of drug discovery, development, and clinical trials. Biotechnology and pharmaceutical companies are increasingly recognizing the importance of gene expression analysis in identifying potential drug targets and evaluating the safety and efficacy of novel compounds. Gene expression data provide crucial insights into how genes are regulated in health and disease, offering valuable information for the design and validation of new therapies. In the early stages of drug discovery, researchers utilize gene expression profiling to identify candidate drug targets. By studying the expression patterns of genes associated with specific diseases or biological processes, scientists can pinpoint potential targets for intervention. This knowledge is instrumental in selecting the most promising drug candidates for further development.

Furthermore, gene expression analysis is vital in preclinical and clinical trials. It helps assess the impact of investigational drugs on gene expression in human or animal tissues, providing essential safety and efficacy data. By monitoring changes in gene expression profiles, researchers can identify potential side effects, optimize dosages, and refine treatment strategies, ultimately accelerating the drug development process. The trend towards personalized medicine has also fueled biotechnology and pharmaceutical investments in gene expression analysis. Companies are leveraging gene expression data to stratify patient populations, predict treatment responses, and develop tailored therapies. This approach enhances the chances of therapeutic success while minimizing adverse effects, offering a more patient-centric approach to healthcare. Moreover, collaborations between academic research institutions and industry players have driven innovation in gene expression analysis technologies and methodologies. This synergy fosters the development of cutting-edge tools and platforms that address the specific needs of drug discovery and development, further propelling the market's growth.

Key Market Challenges

Data Analysis Complexities

The Global Gene Expression Analysis Market, a cornerstone of modern life sciences and biotechnology, has seen remarkable growth thanks to the promise it holds in understanding the intricate world of gene regulation and expression. However, despite its potential, this market faces significant challenges, and one of the foremost hurdles is the complexities associated with data analysis. Gene expression analysis, particularly through high-throughput sequencing technologies like RNA-Seq, generates vast and intricate datasets. These datasets contain a wealth of information about how genes are activated or deactivated in various biological contexts, which is invaluable for research and clinical applications. However, handling and making sense of this data can be a daunting task.

The sheer volume of data is a major challenge. Modern sequencing technologies can produce terabytes of data in a single experiment. Analyzing this data requires substantial computational resources and expertise in bioinformatics. Researchers and organizations often find themselves grappling with the need for high-performance computing clusters and data storage facilities, which can be costly and resource-intensive. Moreover, the complexity of gene expression data goes beyond its size. Researchers must navigate numerous analytical steps, including quality control, alignment, quantification, normalization, and differential expression analysis. Each of these steps carries its own set of challenges and potential pitfalls. Mistakes or biases at any stage of data analysis can lead to erroneous conclusions and compromise the integrity of research findings.

Cost Constraints

Gene expression analysis, particularly through technologies like RNA sequencing (RNA-Seq) and microarrays, often involves substantial expenses that can limit accessibility and adoption. Instrumentation Costs: One of the primary cost factors is the high initial investment required for specialized equipment and instruments used in gene expression analysis. High-throughput sequencers, microarray scanners, and qPCR machines can come with hefty price tags, making them inaccessible to smaller research laboratories and institutions with limited budgets. The reagents and consumables used in gene expression experiments can be expensive. This includes RNA extraction kits, library preparation kits for RNA-Seq, microarray probes, and PCR reagents.

The cost of these supplies can quickly accumulate, especially for large-scale studies. Managing and analyzing the massive datasets generated by gene expression experiments can be cost-prohibitive. Researchers and organizations require substantial computational infrastructure and data storage facilities to handle and process the data efficiently. This demand for computational resources adds to the overall cost of gene expression analysis. Skilled personnel, such as molecular biologists, bioinformaticians, and computational biologists, are essential for the successful execution of gene expression studies. Hiring and retaining these experts can be expensive, particularly in regions with high labor costs or in competitive job markets.

Key Market Trends

Single-Cell RNA Sequencing (scRNA-Seq)

Single-Cell RNA Sequencing (scRNA-Seq) has emerged as a transformative force in the Global Gene Expression Analysis Market, significantly boosting its growth and capabilities. This cutting-edge technology allows researchers to delve into the intricate world of gene expression at the individual cell level, unveiling cellular heterogeneity and shedding light on previously hidden biological insights. One of the primary drivers of the scRNA-Seq trend is its ability to unravel the complexity of cellular diversity within tissues and organisms. Traditional bulk RNA sequencing averages gene expression data across a mixture of cells, blurring important distinctions between individual cell types. In contrast, scRNA-Seq enables the comprehensive profiling of gene expression in single cells, revealing nuanced differences and uncovering rare cell populations. This newfound granularity has profound implications for a wide range of fields, including developmental biology, immunology, neuroscience, and cancer research.

In the context of cancer, scRNA-Seq is revolutionizing our understanding of tumor heterogeneity, enabling researchers to identify subpopulations of cancer cells with distinct gene expression profiles. This information is critical for tailoring targeted therapies and predicting treatment responses on an individual basis, contributing to the advancement of personalized medicine. Moreover, scRNA-Seq is enhancing our knowledge of the immune system by characterizing the diverse cell types and states involved in immune responses. This has implications for vaccine development, autoimmune disease research, and immunotherapies. The adoption of scRNA-Seq is also driving innovation in the field of regenerative medicine. Researchers can now better understand the heterogeneity of stem cell populations, paving the way for improved tissue engineering and regenerative therapies.

Integration of Multi-Omics

The integration of multi-omics data is a transformative trend that is significantly boosting the Global Gene Expression Analysis Market. Genomics, transcriptomics, proteomics, metabolomics, and epigenomics, collectively referred to as "omics" technologies, provide distinct but interconnected layers of biological information. The integration of data from these diverse omics domains offers a comprehensive view of cellular processes and has become a driving force in advancing our understanding of gene expression. One of the key benefits of integrating multi-omics data is the ability to unravel complex biological networks. Genes do not function in isolation; they are part of intricate regulatory networks that involve proteins, metabolites, and epigenetic modifications. By combining data from different omics disciplines, researchers gain insights into how these components interact and influence gene expression. This holistic approach is invaluable for deciphering the mechanisms underlying various diseases and biological processes.

Another prominent application of multi-omics integration is in personalized medicine. By analyzing a patient's genomic, transcriptomic, and proteomic profiles, healthcare providers can make more informed decisions about diagnosis, treatment selection, and drug dosing. This approach maximizes treatment efficacy while minimizing side effects, improving patient outcomes, and boosting the overall quality of healthcare. Moreover, multi-omics data integration is driving innovation in drug discovery and development. Researchers can identify potential drug targets and biomarkers by examining how genes, proteins, and metabolites are perturbed in disease states. This knowledge streamlines the drug discovery pipeline, expedites candidate drug selection, and enhances the chances of developing successful therapeutics.

Segmental Insights

Technique Insights

Based on the Technique, the RNA Expression segment emerged as the dominant segment in the global market for Global Gene Expression Analysis Market in 2022. This can be attributed to several factors including fundamental role in transcriptomics, comprehensive gene profiling and diverse applications of RNA expression. It is invaluable for studying disease mechanisms, identifying biomarkers, and exploring therapeutic targets.

Application Insights

Based on the Application, the Clinical Diagnostics segment emerged as the dominant player in the global market for Global Gene Expression Analysis Market in 2022. gene expression analysis has found extensive applications in clinical diagnostics because it directly relates to the identification and characterization of diseases. Understanding how genes are expressed in health and disease allows clinicians to make more accurate diagnoses, predict disease outcomes, and select appropriate treatments. This clinical relevance positions gene expression analysis as a critical tool in modern healthcare.

Regional Insights

North America emerged as the dominant player in the global Gene Expression Analysis Market in 2022, holding the largest market share. North America, particularly the United States and Canada, boasts a highly advanced healthcare infrastructure. This infrastructure supports the integration of gene expression analysis into clinical practice, research, and drug development. State-of-the-art laboratories, research institutions, and medical centers equipped with cutting-edge technologies drive the market's growth.

Key Market Players

• Merck KGaA

• Genscript Biotech Corporation

• Qiagen

• Bio-Rad Laboratories

• Takara Bio Inc.

• Thermo Fisher Scientific, Inc.

• Promega Corporation

• Agilent Technologies

• Lonza Group Ltd.

• New England Biolabs Inc

Report Scope:

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

Global Gene Expression Analysis Market, By Product Type:

• Instruments
• Services
• Others

Global Gene Expression Analysis Market, By Technique:

• RNA Expression
• Promotor Analysis
• Protein Expression & Post Translational Modification Expression
• Others

Global Gene Expression Analysis Market, By Application:

• Drug Discovery and Development
• Clinical Diagnostics
• Biotechnology and Microbiology
• Others

Global Gene Expression Analysis Market, By End User:

• Pharmaceutical and Biotechnology Companies
• Contract Research Organizations (CROs)
• Academic and Government Research Institutes
• Others

Global Gene Expression Analysis 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
• Kuwait
• Turkey
• Egypt

Competitive Landscape

• Company Profiles: Detailed analysis of the major companies present in the Global Gene Expression Analysis Market.

Available Customizations:

• Global Gene Expression Analysis 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. Global Gene Expression Analysis Market Outlook

• 4.1. Market Size & Forecast
  • 4.1.1. By Value
• 4.2. Market Share & Forecast
  • 4.2.1. By Product Type (Instruments, Services, Others)
  • 4.2.2. By Technique (RNA Expression, Promotor Analysis, Protein Expression & Post Translational Modification Expression, Others)
  • 4.2.3. By Application (Drug Discovery and Development, Clinical Diagnostics, Biotechnology and Microbiology, Others)
  • 4.2.4. By End User (Pharmaceutical and Biotechnology Companies, Contract Research Organizations (CROs), Academic and Government Research Institutes, Others)
  • 4.2.5. By Region
  • 4.2.6. By Company (2022)
• 4.3. Market Map
  • 4.3.1. By Product Type
  • 4.3.2. By Technique
  • 4.3.3. By Application
  • 4.3.4. By End User
  • 4.3.5. By Region

5. Asia Pacific Gene Expression Analysis Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Product Type
  • 5.2.2. By Technique
  • 5.2.3. By Application
  • 5.2.4. By End User
  • 5.2.5. By Country
• 5.3. Asia Pacific: Country Analysis
  • 5.3.1. China Gene Expression Analysis Market Outlook
    • 5.3.1.1. Market Size & Forecast
      • 5.3.1.1.1. By Value
    • 5.3.1.2. Market Share & Forecast
      • 5.3.1.2.1. By Product Type
      • 5.3.1.2.2. By Technique
      • 5.3.1.2.3. By Application
      • 5.3.1.2.4. By End User
  • 5.3.2. India Gene Expression Analysis Market Outlook
    • 5.3.2.1. Market Size & Forecast
      • 5.3.2.1.1. By Value
    • 5.3.2.2. Market Share & Forecast
      • 5.3.2.2.1. By Product Type
      • 5.3.2.2.2. By Technique
      • 5.3.2.2.3. By Application
      • 5.3.2.2.4. By End User
  • 5.3.3. Australia Gene Expression Analysis Market Outlook
    • 5.3.3.1. Market Size & Forecast
      • 5.3.3.1.1. By Value
    • 5.3.3.2. Market Share & Forecast
      • 5.3.3.2.1. By Product Type
      • 5.3.3.2.2. By Technique
      • 5.3.3.2.3. By Application
      • 5.3.3.2.4. By End User
  • 5.3.4. Japan Gene Expression Analysis Market Outlook
    • 5.3.4.1. Market Size & Forecast
      • 5.3.4.1.1. By Value
    • 5.3.4.2. Market Share & Forecast
      • 5.3.4.2.1. By Product Type
      • 5.3.4.2.2. By Technique
      • 5.3.4.2.3. By Application
      • 5.3.4.2.4. By End User
  • 5.3.5. South Korea Gene Expression Analysis Market Outlook
    • 5.3.5.1. Market Size & Forecast
      • 5.3.5.1.1. By Value
    • 5.3.5.2. Market Share & Forecast
      • 5.3.5.2.1. By Product Type
      • 5.3.5.2.2. By Technique
      • 5.3.5.2.3. By Application
      • 5.3.5.2.4. By End User

6. Europe Gene Expression Analysis Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Product Type
  • 6.2.2. By Technique
  • 6.2.3. By Application
  • 6.2.4. By End User
  • 6.2.5. By Country
• 6.3. Europe: Country Analysis
  • 6.3.1. France Gene Expression Analysis 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 Type
      • 6.3.1.2.2. By Technique
      • 6.3.1.2.3. By Application
      • 6.3.1.2.4. By End User
  • 6.3.2. Germany Gene Expression Analysis 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 Type
      • 6.3.2.2.2. By Technique
      • 6.3.2.2.3. By Application
      • 6.3.2.2.4. By End User
  • 6.3.3. Spain Gene Expression Analysis 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 Type
      • 6.3.3.2.2. By Technique
      • 6.3.3.2.3. By Application
      • 6.3.3.2.4. By End User
  • 6.3.4. Italy Gene Expression Analysis Market Outlook
    • 6.3.4.1. Market Size & Forecast
      • 6.3.4.1.1. By Value
    • 6.3.4.2. Market Share & Forecast
      • 6.3.4.2.1. By Product Type
      • 6.3.4.2.2. By Technique
      • 6.3.4.2.3. By Application
      • 6.3.4.2.4. By End User
  • 6.3.5. United Kingdom Gene Expression Analysis Market Outlook
    • 6.3.5.1. Market Size & Forecast
      • 6.3.5.1.1. By Value
    • 6.3.5.2. Market Share & Forecast
      • 6.3.5.2.1. By Product Type
      • 6.3.5.2.2. By Technique
      • 6.3.5.2.3. By Application
      • 6.3.5.2.4. By End User

7. North America Gene Expression Analysis Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Technique
  • 7.2.2. Product Type
  • 7.2.3. By End User
  • 7.2.4. By Application
  • 7.2.5. By Country
• 7.3. North America: Country Analysis
  • 7.3.1. United States Gene Expression Analysis 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 Type
      • 7.3.1.2.2. By Technique
      • 7.3.1.2.3. By Application
      • 7.3.1.2.4. By End User
  • 7.3.2. Mexico Gene Expression Analysis 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 Type
      • 7.3.2.2.2. By Technique
      • 7.3.2.2.3. By Application
      • 7.3.2.2.4. By End User
  • 7.3.3. Canada Gene Expression Analysis 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 Type
      • 7.3.3.2.2. By Technique
      • 7.3.3.2.3. By Application
      • 7.3.3.2.4. By End User

8. South America Gene Expression Analysis Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Product Type
  • 8.2.2. By Technique
  • 8.2.3. By End User
  • 8.2.4. By Country
• 8.3. South America: Country Analysis
  • 8.3.1. Brazil Gene Expression Analysis 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 Type
      • 8.3.1.2.2. By Technique
      • 8.3.1.2.3. By Application
      • 8.3.1.2.4. By End User
  • 8.3.2. Argentina Gene Expression Analysis 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 Type
      • 8.3.2.2.2. By Technique
      • 8.3.2.2.3. By Application
      • 8.3.2.2.4. By End User
  • 8.3.3. Colombia Gene Expression Analysis 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 Type
      • 8.3.3.2.2. By Technique
      • 8.3.3.2.3. By Application
      • 8.3.3.2.4. By End User

9. Middle East and Africa Gene Expression Analysis Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Product Type
  • 9.2.2. By Drug Type
  • 9.2.3. By Application
  • 9.2.4. By End User
  • 9.2.5. By Country
• 9.3. MEA: Country Analysis
  • 9.3.1. South Africa Gene Expression Analysis 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 Type
      • 9.3.1.2.2. By Technique
      • 9.3.1.2.3. By Application
      • 9.3.1.2.4. By End User
  • 9.3.2. Saudi Arabia Gene Expression Analysis 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 Type
      • 9.3.2.2.2. By Drug Type
      • 9.3.2.2.3. By Application
      • 9.3.2.2.4. By End User
  • 9.3.3. UAE Gene Expression Analysis 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 Type
      • 9.3.3.2.2. By Technique
      • 9.3.3.2.3. By Application
      • 9.3.3.2.4. By End User
  • 9.3.4. Egypt Gene Expression Analysis Market Outlook
    • 9.3.4.1. Market Size & Forecast
      • 9.3.4.1.1. By Value
    • 9.3.4.2. Market Share & Forecast
      • 9.3.4.2.1. By Product Type
      • 9.3.4.2.2. By Technique
      • 9.3.4.2.3. By Application
      • 9.3.4.2.4. By End User

10. Market Dynamics

• 10.1. Drivers
• 10.2. Challenges

11. Market Trends & Developments

• 11.1. Recent Developments
• 11.2. Product Launches
• 11.3. Mergers & Acquisitions

12. Global Gene Expression Analysis Market: SWOT Analysis

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. Merck KGaA
  • 14.1.1. Business Overview
  • 14.1.2. Company Snapshot
  • 14.1.3. Products & Services
  • 14.1.4. Current Capacity Analysis
  • 14.1.5. Financials (In case of listed)
  • 14.1.6. Recent Developments
  • 14.1.7. SWOT Analysis
• 14.2. Genscript Biotech Corporation
• 14.3. Qiagen
• 14.4. Bio-Rad Laboratories
• 14.5. Takara Bio Inc.
• 14.6. Thermo Fisher Scientific, Inc.
• 14.7. Promega Corporation
• 14.8. Agilent Technologies
• 14.9. Lonza Group Ltd.
• 14.10. New England Biolabs Inc

15. Strategic Recommendations

16. About Us & Disclaimer