Next-Generation Sequencing Data Analysis Market Size, Share, Trends, Growth, Production, Consumption, Revenue, Company Analysis and Forecast 2021-2030

The global Next-Generation Sequencing Data Analysis market size is expected to be worth around US$ 2.72 billion by 2030, according to a new report by Vision Research Reports.

The global Next-Generation Sequencing Data Analysis market size was valued at US$ 561.6 million in 2020 and is anticipated to grow at a CAGR of 15.05% during forecast period 2021 to 2030.

Growth Factors

Key drivers contributing to market expansion include the growing adoption of sequencing platforms for clinical diagnosis because of a significant reduction in the cost of installation. The easy availability of genomic and proteomic data is also expected to create lucrative growth opportunities in this market during the forecast period.

In addition, a decrease in the cost of sequencing is expected to increase the adoption of (NGS), which, in turn, is likely to boost the market growth. Availability of tools, such as Agilent’s HaloPlex capture system and Targeted Methyl-Seq platform from EpiGentek Group Inc., has helped in the determination of DNA methylation profiles in individual genomes. An increase in the adoption of bisulfite-methylation for targeted sequencing and targeted methylation NGS data analysis methods is anticipated to propel market growth.

EpigenDx, CD Genomics, Novogene Co., Ltd., and Epigentek Group, Inc. are the key players that offer methylation sequencing and targeted bisulfite sequencing data analysis services. The launch of new products will further boost revenue generation in the market. Major market participants have undertaken various strategic initiatives to strengthen their position in the market. For instance, in January 2021, Transnetyx, Inc. collaborated with One Codex to provide end-to-end analysis and microbiome sequencing services. This is expected to offer affordable sequencing analysis services to researchers.

Report Highlights

Services led the global next-generation sequencing data analysis market with a revenue share of over 54% in 2020. Cost-effective NGS data analysis services are readily adopted by establishments that lack the required infrastructure for data management, analysis, and interpretation. Companies, such as ThermoFisher Scientific; Igenbio, Inc; and Toldot Genetics, offer services for exome interpretation, variant calling, mapping, annotation, and others.

Although the analytical software segment held a lower market share in 2020, it is expected to witness the fastest CAGR over the forecast period owing to high demand and an increase in awareness about sequencing technologies. A large amount of data generated through NGS needs management solutions and platforms, which results in high demand for such tools & algorithms.

CLC Genomics Workbench offered by QIAGEN is one such data interpretation tools for epigenomics, genomics, metagenomics, and transcriptomics in one single program. Many companies are engaged in delivering products for data processing, i.e., data analysis tools that enable research entities to carry out projects using NGS. This propels the growth of the NGS commercial software segment.

Illumina and QIAGEN are the largest providers of data analysis software. Other key players, such as ThermoFisher Scientific, also offer commercial software for the analysis of NGS data. The Avadis NGS Software offered by the company is used with the Ion PGM System for management, visualization, and analysis of NGS data.

The tertiary workflow segment dominated the market in 2020 with a revenue share of over 48%. Various annotation tools are utilized for NGS tertiary data analysis and companies are adopting strategic initiatives to expand the scope of these tools. For instance, in May 2020, Saphetor SA entered into a partnership with Paragon Genomics for the development and commercialization of VarSome, a bioinformatics solution used for accurate and fast variant discovery, annotation, and interpretation of NGS-generated data.

Secondary data analysis is anticipated to be the fastest-growing workflow segment from 2021 to 2028. The rising application of whole-genome sequencing requires faster secondary analysis tools to fulfill the increasing demand. It is essential in reducing the time required to perform whole-genome sequencing secondary analysis to scale-up the sample throughput by implementing field-programmable gate arrays operating in the cloud.

The field-programmable gate arrays are logic circuits that represent higher efficiency and speed as compared to conventional CPUs, especially for customized genomic analysis. On the other hand, cloud service providers, including Amazon Web Services, possess large data centers with large capacities to process a large number of samples simultaneously.

The in-house mode segment accounted for the largest revenue share of over 65% in 2020. The in-house mode includes companies that are involved in disease testing and diagnosis using NGS while conducting their own analysis using available technology & software tools. The number of such companies is rapidly increasing. Furthermore, annual budgets for in-house data analysis of several academic and research institutes are observed to be more than twofold of the outsourced data analysis.

The in-house analysis also allows quick incorporation of innovative scientific workflows into bioinformatics pipelines. These factors are responsible for the largest share of this segment and it is likely to maintain its dominance during the forecast period. However, the installation of an in-house data analysis infrastructure necessitates substantial investments with respect to time and complex IT architectures.

The outsourced mode segment is projected to register the fastest CAGR from 2021 to 2028. Considering the cost advantages offered by outsourcing mode, companies, such as SciBerg, offer outsourced NGS data analysis services. However, the low adoption of outsourced services among large-scale multinational pharmaceutical & biotechnology companies is expected to reduce the revenue generation from this segment.

Short-read sequencing dominated the global market in 2020 with a share of 77.37% owing to the wide adoption and availability of alignment tools and algorithms for short-read sequencing data. BaseSpace Sequence Hub, a cloud computing environment for genomics, includes a collection of short-read sequencing data analysis apps that can simplify the management of sequencing data and be used in a wide range of studies.

Similarly, DRAGEN is a Bio-IT Platform that provides an ultra-rapid secondary analysis of sequencing data from whole genome, whole exome, and targeted sequencing workflows. In addition, DRAGEN also offers a wide range of accelerated secondary analysis pipelines including aligning pipeline, stand-alone map, Joint Genotyping, Methylation, and other tools.

The market shows lucrative opportunities for long and very long read sequencing segments. Guppy, Offered by Oxford Nanopore, is a data processing toolkit that includes bioinformatic post-processing features and base calling algorithms. The onboard base calling with Guppy is profitable as it eliminates the need for a stable internet connection or a local infrastructure. The toolkit can either be integrated with MinKNOW; the device control software offered by Oxford Nanopore; or can be run on Linux, Windows, and OS X platforms.

The academic research segment accounted for the largest revenue share of over 53% in 2020 due to a rise in the adoption of next-generation sequencing data analysis workflows in academic institutions. For instance, Wageningen University & Research, the Netherlands, has installed the Saphyr system from Bionano Genomics, Illumina MiSeq, Pacbio Sequel, and 10XGenomics Chromium for Genome de novo sequencing, Re-sequencing, Gene expression analysis (RNA-seq); Genome-wide methylation studies; and other bioinformatics analyses.

The clinical research segment is projected to register the fastest CAGR from 2021 to 2028. Research initiatives for the development of in vitro tests using sequencing technology are expected to influence growth in clinical research. Moreover, with the advent of personalized medicine and companion diagnostics for monitoring disease progression, the demand for NGS data analysis is expected to increase significantly.

For instance, PierianDx offers Clinical Genomicist Workspace software that provides clinical laboratories a more accurate and streamlined analysis along with reporting and interpretation for personalized medicine programs. These services are anticipated to revolutionize the clinical research paradigm, which includes clinical trials and drug discovery, in the coming years.

North America held a dominant share of 50.03% in 2020. This can be attributed to the presence of a significant number of key players, such as Illumina, Thermo Fisher Scientific, Agilent Technologies, and several organizations that incorporate data analysis software. Moreover, a large number of NGS research projects are conducted in the U.S. and Canadian universities, which increases the demand for NGS software tools.

In January 2021, Illumina collaborated with Helix to use its sequencing technology for the assessment of the New SARS-CoV-2 U.K. Variant (B.1.1.7) in the U.S. The partnership also aims to design the national surveillance infrastructure to track the prevalence and emergence of the new strain. Such initiatives undertaken by the companies drive the demand for NGS technologies for Covid-19, thereby supporting market growth.

Asia Pacific is projected to be the fastest-growing regional market from 2021 to 2028. There has been significant progress in understanding the molecular basis of cancer with the use of sequencing technologies in Japan. The Ministry of Health, Labor, and Welfare of Japan has approved multiple cancer gene panels based on NGS technology to be used in clinical practice. In November 2020, Kaohsiung Medical University Chung-Ho Memorial Hospital, Taiwan partnered with ACT Genomics to target precision cancer treatment by combining ACT Genomics’ NGS database with ASUS’s Intelligent Cloud Services.

Key Players

  • Thermo Fisher Scientific, Inc.

  • QIAGEN

  • Illumina, Inc.

  • F. Hoffmann-La Roche Ltd.

  • Agilent Technologies, Inc.

  • Bio-Rad Laboratories, Inc.

  • PierianDx

  • Intrexon Bioinformatics Germany GmbH

  • Partek, Inc.

  • Eurofins Scientific

  • Pacific Biosciences of California, Inc.

  • DNASTAR, Inc.

  • Congenica Ltd.

  • Fabric Genomics, Inc.

  • Genuity Science

  • DNAnexus Inc.

  • SciGenom Labs Pvt. Ltd.

  • Golden Helix, Inc.

Market Segmentation

  • Product Outlook

    • Services

    • NGS Commercial Software

      • Platform OS/UI

      • Analytical Software

        • Alignment Tools & Software

          • DNA Seq Alignment

          • RNA Seq Alignment

          • Protein Seq Alignment

        • QC/Pre-processing Tools

        • Others

  • Workflow Outlook 

    • Primary

    • Secondary

      • Read Mapping

      • Variant Alignment & Variant Calling

    • Tertiary

      • Variant Annotation

      • Application-specific

        • Targeted Sequencing/Gene Panel

        • Exome Sequencing

        • RNA Sequencing

        • Whole Genome Sequencing

        • ChIP-sequencing

        • Others

  • Mode Outlook 

    • In-house

    • Outsourced

  • Read Length Outlook 

    • Short Read

    • Long Read

    • Very Long Read

  • End-use Outlook 

    • Academic Research

    • Clinical Research

    • Hospitals & Clinics

    • Pharma & Biotech Entities

    • Other Users

  • Regional Outlook 

    • North America

      • U.S.

      • Canada

    • Europe

      • Germany

      • U.K.

      • France

      • Italy

      • Spain

    • Asia Pacific

      • Japan

      • China

      • India

      • Australia

      • South Korea

    • Latin America

      • Brazil

      • Mexico

    • Middle East Africa (MEA)

      • South Africa

      • Saudi Arabia

The Next-Generation Sequencing Data Analysis market research report covers definition, classification, product classification, product application, development trend, product technology, competitive landscape, industrial chain structure, industry overview, national policy and planning analysis of the industry, the latest dynamic analysis, etc., and also includes major. The study includes drivers and restraints of the global market. It covers the impact of these drivers and restraints on the demand during the forecast period. The report also highlights opportunities in the market at the global level.

The report provides size (in terms of volume and value) of Next-Generation Sequencing Data Analysis market for the base year 2020 and the forecast between 2021 and 2030. Market numbers have been estimated based on form and application. Market size and forecast for each application segment have been provided for the global and regional market.

This report focuses on the global Next-Generation Sequencing Data Analysis market status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Next-Generation Sequencing Data Analysis market development in United States, Europe and China.

It is pertinent to consider that in a volatile global economy, we haven’t just conducted Next-Generation Sequencing Data Analysis market forecasts in terms of CAGR, but also studied the market based on key parameters, including Year-on-Year (Y-o-Y) growth, to comprehend the certainty of the market and to find and present the lucrative opportunities in market.

In terms of production side, this report researches the Next-Generation Sequencing Data Analysis capacity, production, value, ex-factory price, growth rate, market share for major manufacturers, regions (or countries) and type.

In terms of consumption side, this report focuses on the consumption of Next-Generation Sequencing Data Analysis by regions (countries) and application.

Buyers of the report will have access to verified market figures, including global market size in terms of revenue and volume. As part of production analysis, the authors of the report have provided reliable estimations and calculations for global revenue and volume by Type segment of the global Next-Generation Sequencing Data Analysis market. These figures have been provided in terms of both revenue and volume for the period 2017 to 2030. Additionally, the report provides accurate figures for production by region in terms of revenue as well as volume for the same period. The report also includes production capacity statistics for the same period.

With regard to production bases and technologies, the research in this report covers the production time, base distribution, technical parameters, research and development trends, technology sources, and sources of raw materials of major Next-Generation Sequencing Data Analysis market companies.

Regarding the analysis of the industry chain, the research of this report covers the raw materials and equipment of Next-Generation Sequencing Data Analysis market upstream, downstream customers, marketing channels, industry development trends and investment strategy recommendations. The more specific analysis also includes the main application areas of market and consumption, major regions and Consumption, major Chinese producers, distributors, raw material suppliers, equipment providers and their contact information, industry chain relationship analysis.

The research in this report also includes product parameters, production process, cost structure, and data information classified by region, technology and application. Finally, the paper model new project SWOT analysis and investment feasibility study of the case model.

Overall, this is an in-depth research report specifically for the Next-Generation Sequencing Data Analysis industry. The research center uses an objective and fair way to conduct an in-depth analysis of the development trend of the industry, providing support and evidence for customer competition analysis, development planning, and investment decision-making. In the course of operation, the project has received support and assistance from technicians and marketing personnel in various links of the industry chain.

The Next-Generation Sequencing Data Analysis market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to Next-Generation Sequencing Data Analysis market.

Prominent players in the market are predicted to face tough competition from the new entrants. However, some of the key players are targeting to acquire the startup companies in order to maintain their dominance in the global market. For a detailed analysis of key companies, their strengths, weaknesses, threats, and opportunities are measured in the report by using industry-standard tools such as the SWOT analysis. Regional coverage of key companies is covered in the report to measure their dominance. Key manufacturers of Next-Generation Sequencing Data Analysis market are focusing on introducing new products to meet the needs of the patrons. The feasibility of new products is also measured by using industry-standard tools.

Key companies are increasing their investments in research and development activities for the discovery of new products. There has also been a rise in the government funding for the introduction of new Next-Generation Sequencing Data Analysis market. These factors have benefited the growth of the global market for Next-Generation Sequencing Data Analysis. Going forward, key companies are predicted to benefit from the new product launches and the adoption of technological advancements. Technical advancements have benefited many industries and the global industry is not an exception.

New product launches and the expansion of already existing business are predicted to benefit the key players in maintaining their dominance in the global market for Next-Generation Sequencing Data Analysis. The global market is segmented on the basis of region, application, en-users and product type. Based on region, the market is divided into North America, Europe, Asia-Pacific, Latin America and Middle East and Africa (MEA).

In this study, the years considered to estimate the market size of Next-Generation Sequencing Data Analysis are as follows:

  • Historic Year: 2017-2020
  • Base Year: 2021
  • Forecast Year 2021 to 2030

Reasons to Purchase this Report:

- Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and policy aspects
- Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
- Market value USD Million and volume Units Million data for each segment and sub-segment
- Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
- Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players

Research Methodology:

In-depth interviews and discussions were conducted with several key market participants and opinion leaders to compile the research report.

This research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.

Market Size Estimation

Top-down and bottom-up approaches are used to estimate and validate the global market size for company, regional division, product type and application (end users).

The market estimations in this report are based on the selling price (excluding any discounts provided by the manufacturer, distributor, wholesaler or traders). Market share analysis, assigned to each of the segments and regions are achieved through product utilization rate and average selling price.

Major manufacturers & their revenues, percentage splits, market shares, growth rates and breakdowns of the product markets are determined through secondary sources and verified through the primary sources.

All possible factors that influence the markets included in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The market size for top-level markets and sub-segments is normalized, and the effect of inflation, economic downturns, and regulatory & policy changes or others factors are accounted for in the market forecast. This data is combined and added with detailed inputs and analysis from Vision Research Reports and presented in this report.

Market Breakdown and Data Triangulation

After complete market engineering with calculations for market statistics; market size estimations; market forecasting; market breakdown; and data triangulation. Extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. In the complete market engineering process, both top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform market estimation and market forecasting for the overall market segments and sub-segments listed in this report.

Secondary Sources

Secondary Sources occupies approximately 25% of data sources, such as press releases, annual reports, Non-Profit organizations, industry associations, governmental agencies and customs data, and so on. This research study includes secondary sources; directories; databases such as Bloomberg Business, Wind Info, Hoovers, Factiva (Dow Jones & Company), TRADING ECONOMICS, and avention; Investing News Network; statista; Federal Reserve Economic Data; annual reports; investor presentations; and SEC filings of companies.

Primary Sources

 In the primary research process, various sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side include product manufacturers (and their competitors), opinion leaders, industry experts, research institutions, distributors, dealer and traders, as well as the raw materials suppliers and producers, etc.

The primary sources from the demand side include industry experts such as business leaders, marketing and sales directors, technology and innovation directors, supply chain executive, end users (product buyers), and related key executives from various key companies and organizations operating in the global market.

The study objectives of this report are:

  • To analyze and study the global market capacity, production, value, consumption, status (2017-2020) and forecast (2021-2030);
  • Focuses on the key manufacturers, to study the capacity, production, value, market share and development plans in future.
  • Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players
  • To define, describe and forecast the market by type, application and region.
  • To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints and risks.
  • To identify significant trends and factors driving or inhibiting the market growth.
  • To analyze the opportunities in the market for stakeholders by identifying the high growth segments.
  • To strategically analyze each submarket with respect to individual growth trend and their contribution to the market
  • To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market
  • To strategically profile the key players and comprehensively analyze their growth strategies.

Chapter 1.  Introduction

1.1.  Research Objective

1.2.  Scope of the Study

1.3.  Definition

Chapter 2.  Research Methodology

2.1.  Research Approach

2.2.  Data Sources

2.3.  Assumptions & Limitations

Chapter 3.  Executive Summary

3.1.  Market Snapshot

Chapter 4.  Market Variables and Scope

4.1.  Introduction

4.2.  Market Classification and Scope

4.3.  Industry Value Chain Analysis

4.3.1.    Raw Material Procurement Analysis

4.3.2.    Sales and Distribution Channel Analysis

4.3.3.    Downstream Buyer Analysis

Chapter 5.  Market Dynamics Analysis and Trends

5.1.  Market Dynamics

5.1.1.    Market Drivers

5.1.2.    Market Restraints

5.1.3.    Market Opportunities

5.2.  Porter’s Five Forces Analysis

5.2.1.    Bargaining power of suppliers

5.2.2.    Bargaining power of buyers

5.2.3.    Threat of substitute

5.2.4.    Threat of new entrants

5.2.5.    Degree of competition

Chapter 6.  Competitive Landscape

6.1.1.    Company Market Share/Positioning Analysis

6.1.2.    Key Strategies Adopted by Players

6.1.3.    Vendor Landscape

6.1.3.1.        List of Suppliers

6.1.3.2.        List of Buyers

Chapter 7.  Global Next-Generation Sequencing Data Analysis Market, By Product Type

7.1.  Next-Generation Sequencing Data Analysis Market, By Product Type, 2020-2030

7.1.1.    Services

7.1.1.1.        Market Revenue and Forecast (2016-2030)

7.1.2.    NGS Commercial Software

7.1.2.1.        Market Revenue and Forecast (2016-2030)

Chapter 8.  Global Next-Generation Sequencing Data Analysis Market, By Workflow Type

8.1.  Next-Generation Sequencing Data Analysis Market, By Workflow Type, 2020-2030

8.1.1.    Primary

8.1.1.1.        Market Revenue and Forecast (2016-2030)

8.1.2.    Secondary

8.1.2.1.        Market Revenue and Forecast (2016-2030)

8.1.3.    Tertiary

8.1.3.1.        Market Revenue and Forecast (2016-2030)

Chapter 9.  Global Next-Generation Sequencing Data Analysis Market, By Mode Type

9.1.  Next-Generation Sequencing Data Analysis Market, By Mode, 2020-2030

9.1.1.    In-House

9.1.1.1.        Market Revenue and Forecast (2016-2030)

9.1.2.    Outsourced

9.1.2.1.        Market Revenue and Forecast (2016-2030)

Chapter 10.      Global Next-Generation Sequencing Data Analysis Market, By Read Length

10.1.        Next-Generation Sequencing Data Analysis Market, By Read Length, 2020-2030

10.1.1.  Short Read

10.1.1.1.      Market Revenue and Forecast (2016-2030)

10.1.2.  Long Read

10.1.2.1.      Market Revenue and Forecast (2016-2030)

10.1.3.  Very Long Read

10.1.3.1.      Market Revenue and Forecast (2016-2030)

Chapter 11.      Global Next-Generation Sequencing Data Analysis Market, By End-use Type

11.1.        Next-Generation Sequencing Data Analysis Market, By End-use, 2020-2030

11.1.1.  Academic Research

11.1.1.1.      Market Revenue and Forecast (2016-2030)

11.1.2.  Clinical Research

11.1.2.1.      Market Revenue and Forecast (2016-2030)

11.1.3.  Hospitals & Clinics

11.1.3.1.      Market Revenue and Forecast (2016-2030)

11.1.4.  Pharma & Biotech Entities

11.1.4.1.      Market Revenue and Forecast (2016-2030)

11.1.5.  Other Users

11.1.5.1.      Market Revenue and Forecast (2016-2030)

Chapter 12.      Global Next-Generation Sequencing Data Analysis  Market, Regional Estimates and Trend Forecast

12.1.        North America

12.1.1.  Market Revenue and Forecast, By Product Type (2016-2030)

12.1.2.  Market Revenue and Forecast, By Workflow Type (2016-2030)

12.1.3.  Market Revenue and Forecast, By Mode Type (2016-2030)

12.1.4.  Market Revenue and Forecast, By Read Length (2016-2030)

12.1.5.  Market Revenue and Forecast, By End-use (2016-2030)

12.1.6.  U.S.

12.1.6.1.      Market Revenue and Forecast, By Product Type (2016-2030)

12.1.6.2.      Market Revenue and Forecast, By Workflow Type (2016-2030)

12.1.6.3.      Market Revenue and Forecast, By Mode Type (2016-2030)

12.1.6.4.      Market Revenue and Forecast, By Read Length (2016-2030)

12.1.7.  Market Revenue and Forecast, By End-use (2016-2030)

12.1.8.  Rest of North America

12.1.8.1.      Market Revenue and Forecast, By Product Type (2016-2030)

12.1.8.2.      Market Revenue and Forecast, By Workflow Type (2016-2030)

12.1.8.3.      Market Revenue and Forecast, By Mode Type (2016-2030)

12.1.8.4.      Market Revenue and Forecast, By Read Length (2016-2030)

12.1.8.5.      Market Revenue and Forecast, By End-use (2016-2030)

12.2.        Europe

12.2.1.  Market Revenue and Forecast, By Product Type (2016-2030)

12.2.2.  Market Revenue and Forecast, By Workflow Type (2016-2030)

12.2.3.  Market Revenue and Forecast, By Mode Type (2016-2030)

12.2.4.  Market Revenue and Forecast, By Read Length (2016-2030)

12.2.5.  Market Revenue and Forecast, By End-use (2016-2030)

12.2.6.  UK

12.2.6.1.      Market Revenue and Forecast, By Product Type (2016-2030)

12.2.6.2.      Market Revenue and Forecast, By Workflow Type (2016-2030)

12.2.6.3.      Market Revenue and Forecast, By Mode Type (2016-2030)

12.2.7.  Market Revenue and Forecast, By Read Length (2016-2030)

12.2.8.  Market Revenue and Forecast, By End-use (2016-2030)

12.2.9.  Germany

12.2.9.1.      Market Revenue and Forecast, By Product Type (2016-2030)

12.2.9.2.      Market Revenue and Forecast, By Workflow Type (2016-2030)

12.2.9.3.      Market Revenue and Forecast, By Mode Type (2016-2030)

12.2.10.               Market Revenue and Forecast, By Read Length (2016-2030)

12.2.11.               Market Revenue and Forecast, By End-use (2016-2030)

12.2.12.               France

12.2.12.1.   Market Revenue and Forecast, By Product Type (2016-2030)

12.2.12.2.   Market Revenue and Forecast, By Workflow Type (2016-2030)

12.2.12.3.   Market Revenue and Forecast, By Mode Type (2016-2030)

12.2.12.4.   Market Revenue and Forecast, By Read Length (2016-2030)

12.2.13.               Market Revenue and Forecast, By End-use (2016-2030)

12.2.14.               Rest of Europe

12.2.14.1.   Market Revenue and Forecast, By Product Type (2016-2030)

12.2.14.2.   Market Revenue and Forecast, By Workflow Type (2016-2030)

12.2.14.3.   Market Revenue and Forecast, By Mode Type (2016-2030)

12.2.14.4.   Market Revenue and Forecast, By Read Length (2016-2030)

12.2.15.               Market Revenue and Forecast, By End-use (2016-2030)

12.3.        APAC

12.3.1.  Market Revenue and Forecast, By Product Type (2016-2030)

12.3.2.  Market Revenue and Forecast, By Workflow Type (2016-2030)

12.3.3.  Market Revenue and Forecast, By Mode Type (2016-2030)

12.3.4.  Market Revenue and Forecast, By Read Length (2016-2030)

12.3.5.  Market Revenue and Forecast, By End-use (2016-2030)

12.3.6.  India

12.3.6.1.      Market Revenue and Forecast, By Product Type (2016-2030)

12.3.6.2.      Market Revenue and Forecast, By Workflow Type (2016-2030)

12.3.6.3.      Market Revenue and Forecast, By Mode Type (2016-2030)

12.3.6.4.      Market Revenue and Forecast, By Read Length (2016-2030)

12.3.7.  Market Revenue and Forecast, By End-use (2016-2030)

12.3.8.  China

12.3.8.1.      Market Revenue and Forecast, By Product Type (2016-2030)

12.3.8.2.      Market Revenue and Forecast, By Workflow Type (2016-2030)

12.3.8.3.      Market Revenue and Forecast, By Mode Type (2016-2030)

12.3.8.4.      Market Revenue and Forecast, By Read Length (2016-2030)

12.3.9.  Market Revenue and Forecast, By End-use (2016-2030)

12.3.10.               Japan

12.3.10.1.   Market Revenue and Forecast, By Product Type (2016-2030)

12.3.10.2.   Market Revenue and Forecast, By Workflow Type (2016-2030)

12.3.10.3.   Market Revenue and Forecast, By Mode Type (2016-2030)

12.3.10.4.   Market Revenue and Forecast, By Read Length (2016-2030)

12.3.10.5.   Market Revenue and Forecast, By End-use (2016-2030)

12.3.11.               Rest of APAC

12.3.11.1.   Market Revenue and Forecast, By Product Type (2016-2030)

12.3.11.2.   Market Revenue and Forecast, By Workflow Type (2016-2030)

12.3.11.3.   Market Revenue and Forecast, By Mode Type (2016-2030)

12.3.11.4.   Market Revenue and Forecast, By Read Length (2016-2030)

12.3.11.5.   Market Revenue and Forecast, By End-use (2016-2030)

12.4.        MEA

12.4.1.  Market Revenue and Forecast, By Product Type (2016-2030)

12.4.2.  Market Revenue and Forecast, By Workflow Type (2016-2030)

12.4.3.  Market Revenue and Forecast, By Mode Type (2016-2030)

12.4.4.  Market Revenue and Forecast, By Read Length (2016-2030)

12.4.5.  Market Revenue and Forecast, By End-use (2016-2030)

12.4.6.  GCC

12.4.6.1.      Market Revenue and Forecast, By Product Type (2016-2030)

12.4.6.2.      Market Revenue and Forecast, By Workflow Type (2016-2030)

12.4.6.3.      Market Revenue and Forecast, By Mode Type (2016-2030)

12.4.6.4.      Market Revenue and Forecast, By Read Length (2016-2030)

12.4.7.  Market Revenue and Forecast, By End-use (2016-2030)

12.4.8.  North Africa

12.4.8.1.      Market Revenue and Forecast, By Product Type (2016-2030)

12.4.8.2.      Market Revenue and Forecast, By Workflow Type (2016-2030)

12.4.8.3.      Market Revenue and Forecast, By Mode Type (2016-2030)

12.4.8.4.      Market Revenue and Forecast, By Read Length (2016-2030)

12.4.9.  Market Revenue and Forecast, By End-use (2016-2030)

12.4.10.               South Africa

12.4.10.1.   Market Revenue and Forecast, By Product Type (2016-2030)

12.4.10.2.   Market Revenue and Forecast, By Workflow Type (2016-2030)

12.4.10.3.   Market Revenue and Forecast, By Mode Type (2016-2030)

12.4.10.4.   Market Revenue and Forecast, By Read Length (2016-2030)

12.4.10.5.   Market Revenue and Forecast, By End-use (2016-2030)

12.4.11.               Rest of MEA

12.4.11.1.   Market Revenue and Forecast, By Product Type (2016-2030)

12.4.11.2.   Market Revenue and Forecast, By Workflow Type (2016-2030)

12.4.11.3.   Market Revenue and Forecast, By Mode Type (2016-2030)

12.4.11.4.   Market Revenue and Forecast, By Read Length (2016-2030)

12.4.11.5.   Market Revenue and Forecast, By End-use (2016-2030)

12.5.        Latin America

12.5.1.  Market Revenue and Forecast, By Product Type (2016-2030)

12.5.2.  Market Revenue and Forecast, By Workflow Type (2016-2030)

12.5.3.  Market Revenue and Forecast, By Mode Type (2016-2030)

12.5.4.  Market Revenue and Forecast, By Read Length (2016-2030)

12.5.5.  Market Revenue and Forecast, By End-use (2016-2030)

12.5.6.  Brazil

12.5.6.1.      Market Revenue and Forecast, By Product Type (2016-2030)

12.5.6.2.      Market Revenue and Forecast, By Workflow Type (2016-2030)

12.5.6.3.      Market Revenue and Forecast, By Mode Type (2016-2030)

12.5.6.4.      Market Revenue and Forecast, By Read Length (2016-2030)

12.5.7.  Market Revenue and Forecast, By End-use (2016-2030)

12.5.8.  Rest of LATAM

12.5.8.1.      Market Revenue and Forecast, By Product Type (2016-2030)

12.5.8.2.      Market Revenue and Forecast, By Workflow Type (2016-2030)

12.5.8.3.      Market Revenue and Forecast, By Mode Type (2016-2030)

12.5.8.4.      Market Revenue and Forecast, By Read Length (2016-2030)

12.5.8.5.      Market Revenue and Forecast, By End-use (2016-2030)

Chapter 13.  Company Profiles

13.1.              Thermo Fisher Scientific, Inc.

13.1.1.  Company Overview

13.1.2.  Product Offerings

13.1.3.  Financial Performance

13.1.4.  Recent Initiatives

13.2.              QIAGEN

13.2.1.  Company Overview

13.2.2.  Product Offerings

13.2.3.  Financial Performance

13.2.4.  Recent Initiatives

13.3.              Illumina, Inc.

13.3.1.  Company Overview

13.3.2.  Product Offerings

13.3.3.  Financial Performance

13.3.4.  Recent Initiatives

13.4.              F. Hoffmann-La Roche Ltd.

13.4.1.  Company Overview

13.4.2.  Product Offerings

13.4.3.  Financial Performance

13.4.4.  Recent Initiatives

13.5.              Agilent Technologies, Inc.

13.5.1.  Company Overview

13.5.2.  Product Offerings

13.5.3.  Financial Performance

13.5.4.  Recent Initiatives

13.6.              Bio-Rad Laboratories, Inc.

13.6.1.  Company Overview

13.6.2.  Product Offerings

13.6.3.  Financial Performance

13.6.4.  Recent Initiatives

13.7.              PierianDx

13.7.1.  Company Overview

13.7.2.  Product Offerings

13.7.3.  Financial Performance

13.7.4.  Recent Initiatives

13.8.              Intrexon Bioinformatics Germany GmbH

13.8.1.  Company Overview

13.8.2.  Product Offerings

13.8.3.  Financial Performance

13.8.4.  Recent Initiatives

13.9.              Partek, Inc..

13.9.1.  Company Overview

13.9.2.  Product Offerings

13.9.3.  Financial Performance

13.9.4.  Recent Initiatives

13.10.           Eurofins Scientific

13.10.1.               Company Overview

13.10.2.               Product Offerings

13.10.3.               Financial Performance

13.10.4.               Recent Initiatives

13.11.           Pacific Biosciences of California, Inc.

13.11.1.               Company Overview

13.11.2.               Product Offerings

13.11.3.               Financial Performance

13.11.4.               Recent Initiatives

13.12.           DNASTAR, Inc.

13.12.1.               Company Overview

13.12.2.               Product Offerings

13.12.3.               Financial Performance

13.12.4.               Recent Initiatives

13.13.           Congenica Ltd.

13.13.1.               Company Overview

13.13.2.               Product Offerings

13.13.3.               Financial Performance

13.13.4.               Recent Initiatives

13.14.           Fabric Genomics, Inc.

13.14.1.               Company Overview

13.14.2.               Product Offerings

13.14.3.               Financial Performance

13.14.4.               Recent Initiatives

13.15.           Genuity Science

13.15.1.               Company Overview

13.15.2.               Product Offerings

13.15.3.               Financial Performance

13.15.4.               Recent Initiatives

13.16.           SciGenom Labs Pvt. Ltd.

13.16.1.               Company Overview

13.16.2.               Product Offerings

13.16.3.               Financial Performance

13.16.4.               Recent Initiatives

13.17.           Golden Helix, Inc.

13.17.1.               Company Overview

13.17.2.               Product Offerings

13.17.3.               Financial Performance

13.17.4.               Recent Initiatives

Chapter 14.  Research Methodology

14.1.              Primary Research

14.2.              Secondary Research

14.3.              Assumptions

Chapter 15.  Appendix

15.1.              About Us

Glossary of Terms

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