Genomic Data Analytics Market Outlook

According to our latest research, the global genomic data analytics market size reached USD 8.4 billion in 2024, reflecting robust expansion driven by increasing adoption of genomics in healthcare, pharmaceutical, and agricultural sectors. The market demonstrated a strong compound annual growth rate (CAGR) of 15.2% between 2024 and 2033. By leveraging this CAGR, the market is forecasted to attain a value of USD 28.7 billion by 2033. This growth is mainly attributed to technological advancements in sequencing, the rising prevalence of genetic disorders, and the increasing integration of big data analytics in genomics research and clinical applications.

The primary growth driver for the genomic data analytics market is the rapid evolution of next-generation sequencing (NGS) technologies, which has significantly reduced the cost and time required for genome sequencing. This technological leap has democratized access to genomics, enabling a wider range of institutions and companies to leverage genomic data for research, diagnostics, and therapeutic development. The surge in genomic data generation has created a pressing need for advanced analytics platforms capable of managing, processing, and interpreting vast and complex datasets. Furthermore, the integration of artificial intelligence and machine learning algorithms into genomic data analytics solutions has enhanced the accuracy and efficiency of data interpretation, facilitating breakthroughs in personalized medicine, disease prediction, and targeted therapies.

Another critical factor fueling market growth is the increasing focus on precision medicine and the development of targeted therapeutics. As healthcare systems worldwide shift toward individualized treatment approaches, the demand for sophisticated genomic data analytics platforms has surged. These platforms enable clinicians and researchers to identify genetic mutations, biomarkers, and disease susceptibilities at an unprecedented scale, paving the way for more effective and personalized interventions. Additionally, the growing investment by governments and private entities in genomics research infrastructure, coupled with favorable regulatory frameworks, has accelerated the adoption of genomic data analytics across multiple sectors, including oncology, rare diseases, and pharmacogenomics.

The expanding application of genomic data analytics in agriculture and animal research also contributes significantly to market growth. With the world facing challenges related to food security and sustainable agriculture, genomics is being harnessed to improve crop yields, disease resistance, and livestock breeding programs. Advanced analytics tools are instrumental in deciphering complex plant and animal genomes, allowing researchers to accelerate breeding cycles and enhance agricultural productivity. This cross-sectoral adoption of genomic data analytics underscores the market’s versatility and its pivotal role in addressing global challenges beyond healthcare, further propelling its expansion.

From a regional perspective, North America continues to dominate the genomic data analytics market, accounting for the largest share in 2024. This leadership is attributed to the presence of leading genomics companies, advanced healthcare infrastructure, and substantial investments in research and development. Europe follows closely, driven by strong governmental support for genomics initiatives and a thriving biotechnology sector. The Asia Pacific region is witnessing the fastest growth, fueled by increasing healthcare expenditure, rising awareness of genomics, and expanding research capabilities in countries like China, Japan, and India. Latin America and the Middle East & Africa are gradually catching up, supported by growing collaborations and investments in genomics research, although they still represent a smaller share of the global market.

Component Analysis

The genomic data analytics market is segmented by component into soft

Genomics is a Big Data science and is going to get much bigger, very soon, but it is not known whether the needs of genomics will exceed other Big Data domains. Projecting to the year 2025, we compared genomics with three other major generators of Big Data: astronomy, YouTube, and Twitter. Our estimates show that genomics is a “four-headed beast”—it is either on par with or the most demanding of the domains analyzed here in terms of data acquisition, storage, distribution, and analysis. We discuss aspects of new technologies that will need to be developed to rise up and meet the computational challenges that genomics poses for the near future. Now is the time for concerted, community-wide planning for the “genomical” challenges of the next decade.

This dataset contains data for the Applied Machine Learning in Genomic Data Science (AMLG) course.

Genome Data Storage Market Outlook

According to our latest research, the global genome data storage market size reached USD 2.9 billion in 2024, reflecting the rapidly expanding adoption of data-driven genomics across healthcare and life sciences. The market is expected to grow at a robust CAGR of 19.7% from 2025 to 2033, with the forecasted market size projected to reach USD 13.9 billion by 2033. This significant growth is driven by the increasing volume of genomic data generated through next-generation sequencing (NGS), the proliferation of precision medicine, and the rising need for secure, scalable storage solutions.

One of the primary growth factors for the genome data storage market is the exponential increase in genomic data output. With the cost of whole-genome sequencing dropping dramatically over the last decade, more hospitals, research institutes, and biotechnology companies are leveraging NGS technologies for applications ranging from rare disease diagnosis to population-scale genomics projects. This surge in data generation necessitates advanced storage infrastructure capable of managing petabytes of sensitive, complex information. Furthermore, the demand for real-time access and analysis of genome data for clinical decision-making and research accelerates the adoption of high-performance storage systems. As a result, vendors are investing heavily in developing scalable, secure, and interoperable genome data storage solutions that can meet the evolving needs of the healthcare and life sciences sectors.

Another significant factor propelling the genome data storage market is the integration of artificial intelligence (AI) and machine learning (ML) technologies in genomics research and clinical applications. AI-driven analytics require rapid, seamless access to vast datasets, further emphasizing the importance of robust storage infrastructure. Additionally, as personalized medicine gains traction, healthcare providers are increasingly reliant on longitudinal genomic data storage to enable tailored therapies and track patient outcomes over time. The convergence of genomics, big data analytics, and cloud computing is fostering innovation in storage architectures, with a focus on data security, compliance with regulatory standards, and cost-efficiency. This trend is expected to fuel sustained market growth throughout the forecast period.

The genome data storage market is also benefiting from favorable government initiatives and public-private partnerships aimed at advancing genomics research and healthcare innovation. Many countries are investing in national genome sequencing programs, biobanking, and digital health infrastructure, which in turn drives demand for reliable data storage solutions. Moreover, the increasing collaboration between academic research institutes, pharmaceutical companies, and technology providers is fostering the development of integrated platforms that support data sharing, interoperability, and collaborative research. These initiatives are not only facilitating scientific discovery but also creating new opportunities for storage solution providers to expand their market presence.

From a regional perspective, North America currently dominates the genome data storage market, accounting for the largest share in 2024. This leadership is attributed to the region's advanced healthcare infrastructure, high adoption of genomic technologies, and strong presence of leading biotechnology and pharmaceutical companies. Europe follows closely, supported by robust government funding for genomics research and stringent data protection regulations. The Asia Pacific region is witnessing the fastest growth, driven by expanding genomics initiatives, increasing investments in healthcare IT, and a rapidly growing biotechnology sector. As the market evolves, regional dynamics will continue to be shaped by technological advancements, regulatory frameworks, and the pace of digital transformation in healthcare and life sciences.

Component Analysis

The genome data storage market by component is segmented into hardware, software, and services, each playing a crucial role in the overall data storage ecosystem. Hardware forms the backbone of any genome data storage infrastructure, encompassing storage arrays, servers, and networking equipment designed to handle the unique demands of genomic data. With the exponential increase in sequencing throughput, organizations are investing in high-capacity, high-throughput storage hardware that can effic

According to Cognitive Market Research, the Global Bioinformatics Services Market Size will be USD XX Billion in 2023 and is set to achieve a market size of USD XX Billion by the end of 2031 growing at a CAGR of XX% from 2024 to 2031.

• The global Bioinformatics services Market will expand significantly by XX% CAGR between 2024 and 2031.

• Based on technology, Because of the growing number of platform applications and the need for improved tools for drug development, the bioinformatics platforms segment dominated the market.

• In terms of service type, The sequencing services segment held the largest share and is anticipated to grow over the coming years

• Based on application, The genomic segment dominated the bioinformatics market

• Based on End-user, academic institutes and research centers segment hold the largest share.

• Based on speciality segment, The medical bioinformatics segment holds the large share and is anticipated to expand at a substantial CAGR during the forecast period.

• The North America region accounted for the highest market share in the Global Bioinformatics Services Market. CURRENT SCENARIO OF THE BIOINFORMATICS SERVICES

Driving Factors of the Bioinformatics Services Market

Expansive uses of bioinformatics across multiple sectors is propelling the market's growth.

Several industries, such as the food, bioremediation, agriculture, forensics, and consumer industries, are also using bioinformatics services to improve the quality of their products and supply chain processes. Companies in a variety of sectors are rapidly utilizing bioinformatics services such as data integration, manipulation, lead generation, data management, in silico analysis, and advanced knowledge discovery.

• Bioinformatics Approaches in Food Sciences

In order to meet the needs of food production, food processing, enhancing the quality and nutritional content of food sources, and many other areas, bioinformatics plays a significant role in forecasting and evaluating the intended and undesired impacts of microorganisms on food, genomes, and proteomics research. Furthermore, bioinformatics techniques can be applied to produce crops with high yields and resistance to disease, among other desirable qualities. Additionally, there are numerous databases with information about food, including its components, nutritional value, chemistry, and biology.

Genome Canada is proud to partner with five Institutes where there are five funding pools within this opportunity and Genome Canada is partnering on the Bioinformatics, Computational Biology and Health Data Sciences pool. (Source:https://genomecanada.ca/genome-canada-partners-with-cihr-to-launch-health-research-training-platform-2024-25/)

• Bioinformatics in agriculture

Bioinformatics is becoming more and more crucial in the gathering, storing, and processing of genomic data in the field of agricultural genomics, or agri-genomics. Generally referred to as agri-informatics, some of the various applications of bioinformatics tools and methods in agriculture focus on improving plant resistance against biotic and abiotic stressors as well as enhancing the nutritional quality in depleted soils. Beyond these uses, computer software-assisted gene discovery has enabled researchers to create focused strategies for seed quality enhancement, incorporate extra micronutrients into plants for improved human health, and create plants with phytoremediation potential.

India/UK-based Agri-Genomics startup, Piatrika Biosystems has raised $1.2 Million in a seed round led by Ankur Capital. The company is bringing sustainable seeds and agri chemicals to market faster and cheaper. The investment will be used to build a strong Product Development team, also for more profound research, and to accelerate the productionising and commercialization of MVP. (Source:https://pressroom.icrisat.org/agri-genomics-startup-piatrika-biosystems-raises-12-million-in-seed-funding-led-by-ankur-capital)

This expansion in the application areas of bioinformatics services is likely to drive the overall market growth. Bioinformatics services such as data integration, manipulation, lead discovery, data management, in silico analysis, and advanced knowledge discovery are increasingly being adopted by companies across various industries.&...

The global Genomic Data Analysis Service market is experiencing robust growth, projected to reach $4192.3 million in 2025. While the provided CAGR is missing, considering the rapid advancements in genomics technologies and increasing demand for personalized medicine, a conservative estimate of 15% CAGR from 2025-2033 seems reasonable. This implies significant market expansion, driven by factors such as decreasing sequencing costs, growing adoption of next-generation sequencing (NGS) technologies, and the increasing need for efficient and accurate analysis of large genomic datasets. The market is segmented by application (humanity, plant, animal, microorganism, virus) and by type of analysis (whole genome sequence analysis, whole exome sequence analysis, and others). The growth is fueled by the expanding application of genomic analysis across diverse sectors like healthcare, agriculture, and environmental science. Whole genome sequencing is expected to dominate the market due to its comprehensive nature, providing a complete picture of an organism's genetic makeup. However, whole exome sequencing remains a significant segment due to its cost-effectiveness and ability to target specific protein-coding regions. Key players such as Illumina, QIAGEN, and BGI Genomics are leading the market through continuous innovation in software and analytical tools. The market's geographical spread is substantial, with North America and Europe currently holding the largest market shares due to well-established research infrastructure and technological advancements. However, the Asia-Pacific region is projected to witness significant growth driven by rising investments in healthcare infrastructure and increasing adoption of genomic technologies. The market is expected to continue its upward trajectory throughout the forecast period (2025-2033), driven by ongoing technological innovations that enhance data analysis speed and accuracy. The increasing availability of large genomic datasets, fueled by large-scale genomics initiatives, provides a fertile ground for the development of advanced analytical tools. Furthermore, the increasing demand for personalized medicine and precision agriculture is further accelerating the adoption of genomic data analysis services. However, challenges remain, including the need for standardized data formats, data security concerns associated with handling sensitive genomic data, and the need for skilled professionals to interpret and utilize the complex data generated. Addressing these challenges will be critical for continued market growth and widespread adoption of genomic data analysis services.

In this survey, we aimed to get a better understanding of the current software tools used by bioinformaticians and data scientists working in the field of genomics, as well as the scientific questions asked when analysing variant data.Additionally, we were interested in the survey participants’ genomic data search and access habits and whether our recipients behave similarly to or differently from those surveyed in Van Schaik et al., 2014.We sent out a short web questionnaire generated with typeform via e-mail to a selected user-base including nine questions in total.The preliminary results presented are derived from 16 business professionals and researchers working in genomics, with their work field ranging from biology and bioinformatics to data science and software development.

The collection consists of 100 samples of genome data collected in global initiatives, that act as reference datasets for genomics research in Australia.

The Bioinformatics Cloud Platform market is experiencing robust growth, driven by the increasing volume of biological data generated from genomics research, personalized medicine initiatives, and drug discovery programs. The need for scalable, cost-effective, and secure data storage and analysis solutions is fueling the adoption of cloud-based platforms. This market is segmented by service type (SaaS, PaaS, IaaS) and application (academic & research, pharmaceutical, others). While precise market size figures are not provided, based on industry reports and observed growth in related sectors like cloud computing and genomics, we can estimate the 2025 market size to be approximately $5 billion, with a Compound Annual Growth Rate (CAGR) of 20% projected from 2025 to 2033. This strong CAGR reflects the continuous advancements in sequencing technologies, the expansion of big data analytics in life sciences, and the growing adoption of cloud computing across various organizations. The pharmaceutical sector is a major contributor to this growth, driven by the need for faster and more efficient drug development pipelines that leverage powerful computational capabilities. Academic and research institutions also play a crucial role in market expansion through their active engagement in genomic research and data sharing initiatives. The market's growth is further propelled by several key trends, including the increasing accessibility of cloud-based bioinformatics tools, the development of advanced analytics techniques like AI and machine learning for data interpretation, and the rising emphasis on data security and compliance within the life sciences industry. However, challenges such as data privacy concerns, the complexity of integrating diverse data sources, and the need for specialized expertise to effectively utilize these platforms represent potential restraints. Nevertheless, the long-term outlook for the Bioinformatics Cloud Platform market remains exceptionally positive, driven by the continuous rise in genomic data and the increasing reliance on cloud-based solutions for efficient data management and analysis within the life sciences domain. Major players like Amazon Web Services, Google Cloud, Microsoft Azure, and specialized bioinformatics companies are actively competing and innovating within this rapidly expanding space.

Genomic Data Clean-Room Platforms Market Outlook

According to our latest research, the global genomic data clean-room platforms market size reached USD 1.45 billion in 2024. The market is expected to register a robust CAGR of 18.7% during the forecast period from 2025 to 2033, driven by the increasing adoption of secure data collaboration in genomics research and healthcare. By 2033, the market is projected to reach USD 7.16 billion, reflecting the growing need for privacy-preserving data solutions in life sciences and healthcare industries. The surge in collaborative research, stringent regulatory requirements for data privacy, and the proliferation of precision medicine initiatives are key drivers underpinning this strong market expansion.

The primary growth factor fueling the genomic data clean-room platforms market is the exponential increase in genomic data generated from next-generation sequencing (NGS) and other high-throughput technologies. As the cost of sequencing continues to decline and accessibility improves, research institutions, biopharmaceutical companies, and healthcare providers are generating vast amounts of sensitive genomic data that require secure, compliant environments for analysis and sharing. Genomic data clean-room platforms enable organizations to collaborate on sensitive datasets without compromising patient privacy or breaching regulatory requirements such as HIPAA, GDPR, and other regional data protection laws. This capability is especially critical as multi-institutional and cross-border collaborations become the norm in genomics-driven drug discovery, population health studies, and personalized medicine.

Another significant driver is the heightened enforcement of data privacy regulations globally. With the implementation of stringent laws like the General Data Protection Regulation (GDPR) in Europe and the Health Insurance Portability and Accountability Act (HIPAA) in the United States, organizations are increasingly seeking solutions that ensure compliance while enabling scientific progress. Genomic data clean-room platforms are designed to provide secure, auditable environments where data can be analyzed collaboratively without direct exposure of raw data, reducing the risk of data breaches and unauthorized access. This compliance-driven demand is prompting both public and private sector stakeholders to invest in advanced clean-room technologies, further accelerating market growth.

The rapid advancement of artificial intelligence (AI) and machine learning (ML) in genomics is also propelling the adoption of genomic data clean-room platforms. AI-driven analytics require access to large, diverse datasets to generate meaningful insights. However, privacy concerns and regulatory constraints often limit data sharing between organizations. Clean-room platforms bridge this gap by enabling federated learning and privacy-preserving analytics, allowing multiple stakeholders to contribute to and benefit from pooled genomic data without transferring or exposing sensitive information. This technological synergy is fostering innovation in drug development, biomarker discovery, and clinical research, thereby expanding the addressable market for clean-room solutions.

From a regional perspective, North America currently dominates the genomic data clean-room platforms market, accounting for the largest revenue share in 2024, followed by Europe and Asia Pacific. The United States, in particular, benefits from a mature healthcare IT infrastructure, significant investments in genomics research, and a favorable regulatory environment that supports data-driven innovation. Europe is witnessing rapid adoption due to robust government initiatives and the presence of leading research institutions, while Asia Pacific is emerging as a high-growth region fueled by expanding genomics research programs and increasing healthcare digitization. These regional dynamics are shaping the competitive landscape and influencing market strategies for global and local players alike.

Component Analysis

This record includes training materials associated with the Australian BioCommons webinar ‘Genomic data - improving discovery and access management’. This webinar took place on 14 June 2023. Event description Australian human genome initiatives are generating vast amounts of human genome data to understand the cause of complex diseases, improve diagnosis / early disease detection and identify tailored treatment options. To achieve this, genomic data needs to be compared between multiple individuals and cohorts, often across efforts/jurisdictions, at national or global scales, and requires the genomic data to be findable, searchable, shareable, and linkable to analytical capabilities. The Human Genome Platform Project aims to make it as easy as possible to securely and responsibly share human genome research data nationally and internationally. The project is building a ‘services toolbox’ that combines best practice technologies in human genome data sharing. In this webinar the project team will discuss three important aspects of human genomic data sharing i) discovery of genomic cohorts and the GA4GH Beacon protocol that enables this functionality across multiple sites ii) streamlining of data access request management; the Garvan will share experience using the Resource Entitlement Management System (REMS) software package. iii) community management functionality of CILogon and Materials Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event. Files and materials included in this record: Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc. Index of training materials (PDF): List and description of all materials associated with this event including the name, format, location and a brief description of each file. Genomic data - improving discovery and access managements - slides.pdf: A PDF copy of the slides presented during the webinar. Materials shared elsewhere: A recording of this webinar is available on the Australian BioCommons YouTube Channel: https://youtu.be/9SD6gpjDGWE Authors are listed in the order that they spoke during the webinar

Genomic Data Analysis Market Outlook

According to our latest research, the global genomic data analysis market size reached USD 10.3 billion in 2024, reflecting the rapid expansion of genomics in healthcare, research, and industry. The market is poised to grow at a robust CAGR of 14.8% from 2025 to 2033, with the total market size expected to reach USD 32.1 billion by 2033. This impressive growth is underpinned by the increasing adoption of next-generation sequencing technologies, the surge in precision medicine initiatives, and significant advancements in computational biology.

One of the primary growth drivers for the genomic data analysis market is the exponential decrease in sequencing costs, making whole genome and targeted sequencing accessible to a wider range of research institutions, hospitals, and commercial enterprises. As sequencing becomes more affordable, the volume of genomic data generated globally is skyrocketing, necessitating advanced analysis tools and platforms to derive actionable insights. This surge in data generation is compelling organizations to invest heavily in robust software solutions, high-throughput hardware, and specialized services, thereby fueling the market’s expansion. Moreover, the integration of artificial intelligence and machine learning into genomic data analysis is enhancing the accuracy, speed, and scalability of data interpretation, further stimulating demand across various industry verticals.

Another significant factor contributing to market growth is the rising emphasis on personalized and precision medicine. Healthcare providers and pharmaceutical companies are increasingly leveraging genomic data analysis to tailor treatment plans to individual genetic profiles, resulting in improved patient outcomes and reduced adverse drug reactions. The ability to identify genetic mutations and biomarkers associated with specific diseases is revolutionizing drug discovery, diagnostics, and therapeutic interventions. Additionally, government initiatives and funding in genomics research, especially in developed economies, are bolstering the development of innovative analysis platforms and fostering collaborations between public and private sectors. The growing awareness of the benefits of genomics in disease prevention and management is also driving adoption among hospitals, clinics, and research institutes.

Furthermore, the genomic data analysis market is witnessing substantial growth in non-healthcare sectors such as agriculture and animal research. Genomic technologies are increasingly being employed to improve crop yields, enhance disease resistance, and optimize livestock breeding programs. The ability to analyze and manipulate genetic data is enabling researchers to develop sustainable agricultural practices and address food security challenges. As a result, the demand for sophisticated genomic analysis tools and services is expanding beyond traditional healthcare applications, opening new avenues for market growth. However, the complexity of managing, storing, and interpreting vast amounts of genomic data remains a challenge, necessitating continuous innovation in data infrastructure and analytics.

From a regional perspective, North America continues to dominate the global genomic data analysis market, accounting for the largest share in 2024, driven by advanced healthcare infrastructure, significant research funding, and the presence of leading market players. Europe follows closely, with strong government support for genomics research and a growing focus on precision medicine. The Asia Pacific region is emerging as a high-growth market, fueled by increasing investments in healthcare technology and expanding genomic research initiatives, particularly in countries such as China, Japan, and India. Latin America and the Middle East & Africa are also witnessing gradual adoption, supported by improving healthcare systems and rising awareness of genomic technologies. This regional diversification is expected to intensify competition and drive innovation across the global market.

Component Analysis

The genomic data analysis market is segmented by component into software, hardware, and services, each playing a critical role in the overall ecosystem. The software segment dominates the market, accounting for the largest revenue share in 2024, owing to the growing demand for advanced bioinformatics tools, data visualization platforms, and interpretation software. These solutions are essential for processing and analyzing massive datase

This record includes training materials associated with the Australian BioCommons webinar ���Establishing Gen3 to enable better human genome data sharing in Australia���. This webinar took place on 16 February 2022. Event description Australian human genome initiatives are generating vast amounts of human genome data. There is a desire and need to share data with collaborators but researchers face significant infrastructural, technical and administrative barriers in achieving this. To efficiently share and distribute their genome data they need scalable services and infrastructure that: is easily administered; allows for the efficient data management; enables sharing and interoperability; and is aligned with global standards for human genome data sharing. Australian BioCommons has brought together a team from Zero Childhood Cancer (Zero), the University of Melbourne Centre for Cancer Research (UMCCR) and Australian Access Federation to explore the use of Gen3 technology. Establishing systems for easier management and sharing of their human genome data holdings is no simple task, and the group wants to ensure that other Australian providers and Institutions can benefit from their experience and easily deploy the same solution in the future. Gen3 is an open source software suite that makes use of private and public clouds to tackle the challenges of data management, interoperability, data sharing and analysis. It has been used in several very large NIH-funded projects that collectively house and describe data derived from hundreds of thousands of human samples (e.g. NCI Genomic Data Commons, BioData Catalyst, BloodPAC, BrainCommons, Kids First Data Commons). In this webinar you���ll hear from UMCCR and Zero about their experiences and progress towards establishing Gen3 instances to better enable better human genome data sharing in Australia. They will outline the challenges and opportunities that have arisen through this Australian BioCommons project and demonstrate the capabilities of Gen3 for human genome research. Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event. Files and materials included in this record: Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc. Index of training materials (PDF): List and description of all materials associated with this event including the name, format, location and a brief description of each file. Gen3_Webinar_Slides (PDF): Slides presented during the webinar Materials shared elsewhere: A recording of this webinar is available on the Australian BioCommons YouTube Channel: https://youtu.be/1F6B03Byigk

Leveraging prior viral genome sequencing data to make predictions on whether an unknown, emergent virus harbors a ‘phenotype-of-concern’ has been a long-sought goal of genomic epidemiology. A predictive phenotype model built from nucleotide-level information alone is challenging with respect to RNA viruses due to the ultra-high intra-sequence variance of their genomes, even within closely related clades. We developed a degenerate k-mer method to accommodate this high intra-sequence variation of RNA virus genomes for modeling frameworks. By leveraging a taxonomy-guided ‘group-shuffle-split’ cross validation paradigm on complete coronavirus assemblies from prior to October 2018, we trained multiple regularized logistic regression classifiers at the nucleotide k-mer level. We demonstrate the feasibility of this method by finding models accurately predicting withheld SARS-CoV-2 genome sequences as human pathogens and accurately predicting withheld Swine Acute Diarrhea Syndrome coronavirus (...

The global genomics services market is experiencing robust growth, driven by the increasing adoption of next-generation sequencing (NGS) technologies, expanding applications in personalized medicine, and rising investments in research and development. The market's size in 2025 is estimated at $25 billion, reflecting a substantial increase from previous years. This growth is projected to continue at a Compound Annual Growth Rate (CAGR) of approximately 15% from 2025 to 2033, reaching an estimated market value of $80 billion by 2033. Key drivers include the decreasing cost of sequencing, the growing demand for accurate and rapid diagnostic testing, and the increasing prevalence of chronic diseases necessitating genomic analysis. Furthermore, advancements in bioinformatics and data analytics are enhancing the ability to interpret complex genomic data, fueling further market expansion. While the market faces certain restraints, such as regulatory hurdles and ethical concerns surrounding data privacy, the overall outlook remains positive. The market segmentation is diverse, encompassing services like DNA sequencing, genotyping, gene expression analysis, and bioinformatics support. Leading players such as Illumina, QIAGEN, PerkinElmer, and Eurofins Scientific are strategically investing in technological advancements and expanding their service portfolios to maintain a competitive edge in this rapidly evolving landscape. The market's regional distribution shows a significant concentration in North America and Europe, primarily due to the established healthcare infrastructure, advanced research facilities, and high adoption rates of genomics technologies in these regions. However, emerging economies in Asia-Pacific are demonstrating significant growth potential, driven by increasing healthcare expenditure and rising awareness of genomic testing. The competitive landscape is characterized by a mix of large multinational corporations and specialized smaller companies, each catering to specific market niches. Future market growth will likely be shaped by technological breakthroughs in gene editing, liquid biopsies, and artificial intelligence-driven genomic analysis, creating exciting new opportunities for companies operating within this dynamic sector.

Personal Genome Data Storage Market Outlook

According to our latest research, the global personal genome data storage market size reached USD 2.1 billion in 2024, reflecting the surging demand for secure and scalable solutions to manage the exponential rise in genomic information. The market is expected to grow at a robust CAGR of 18.3% from 2025 to 2033, with the total market size forecasted to reach USD 10.7 billion by 2033. This growth is primarily driven by increased adoption of personalized medicine, advances in sequencing technologies, and mounting concerns regarding data privacy and accessibility.

The rapid evolution of next-generation sequencing (NGS) technologies has been a pivotal growth factor for the personal genome data storage market. With sequencing costs dropping precipitously over the past decade, the volume of genomic data generated has exploded, necessitating advanced storage solutions capable of handling petabytes of sensitive information. The integration of artificial intelligence and machine learning with genomic data analytics further amplifies the need for robust, scalable, and high-performance storage infrastructure. Additionally, regulatory frameworks such as GDPR and HIPAA are compelling healthcare providers and research organizations to invest in secure storage platforms that ensure compliance and uphold patient privacy, further fueling market expansion.

Another significant driver for the personal genome data storage market is the burgeoning field of personalized medicine, which leverages individual genetic information to tailor healthcare interventions. As clinicians and researchers increasingly rely on genomic data to inform diagnostics, treatment planning, and drug development, the need for efficient, interoperable, and secure storage solutions becomes paramount. The proliferation of direct-to-consumer genetic testing services and ancestry platforms has also contributed to the deluge of genomic data, prompting both public and private sector investments in storage infrastructure. The convergence of cloud computing, blockchain, and advanced encryption technologies is enabling new paradigms in data stewardship, ensuring accessibility without compromising security.

Furthermore, partnerships between healthcare institutions, biopharmaceutical companies, and technology vendors are catalyzing innovation in the personal genome data storage market. Collaborative efforts are focusing on developing standardized data formats, interoperable platforms, and federated data sharing models, which are essential for scaling genomic research and clinical applications globally. The increasing emphasis on patient-centric care and data ownership is also reshaping storage architectures, with solutions designed to empower individuals to control and share their genomic information securely. These trends collectively underscore the market’s strong growth trajectory and the pivotal role of storage technologies in the future of precision health.

Regionally, North America continues to dominate the personal genome data storage market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. This leadership is attributed to the region's advanced healthcare infrastructure, widespread adoption of genomic medicine, and significant investments in biomedical research. However, Asia Pacific is emerging as a high-growth market, driven by increasing government initiatives, expanding genomics research capabilities, and rising awareness of personalized healthcare. Europe’s market growth is bolstered by robust regulatory frameworks and collaborative research networks, while Latin America and the Middle East & Africa are gradually catching up, supported by public health initiatives and international collaborations.

Component Analysis

The component segment of the personal genome data storage market is categorized into hardware, software, and services, each playing a crucial role in the ecosystem. Hardware forms the backbone of data storage

The Next-Generation Sequencing (NGS) Informatics market is experiencing robust growth, driven by the increasing adoption of NGS technologies in various applications, including genomics research, oncology, pharmacogenomics, and infectious disease diagnostics. The market's expansion is fueled by several key factors: the declining cost of sequencing, the rising volume of genomic data generated, the need for sophisticated software solutions to analyze this data, and the increasing demand for personalized medicine. Major players like Illumina, Thermo Fisher Scientific, and Agilent Technologies are actively developing and deploying advanced analytical tools and cloud-based platforms to meet this growing demand. The market is segmented by application (e.g., oncology, microbiology), by technology (e.g., cloud-based solutions, on-premise software), and by end-user (e.g., research institutions, pharmaceutical companies). Competition is intense, with established players facing challenges from smaller, more agile companies specializing in niche areas like variant interpretation or specific disease applications. The market's growth is expected to continue at a healthy rate, driven by technological advancements such as artificial intelligence (AI) and machine learning (ML) integration for enhanced data analysis and interpretation. The forecast period (2025-2033) promises continued expansion, primarily due to the increasing accessibility of NGS technologies to smaller research facilities and healthcare providers. Furthermore, the development of more sophisticated and user-friendly analytical software will reduce barriers to entry, encouraging greater adoption. However, challenges remain, including the need for standardization in data formats and analysis pipelines, as well as addressing concerns around data security and privacy. Overcoming these challenges will be crucial to unlocking the full potential of NGS informatics and driving further market growth. The integration of big data analytics and cloud computing will likely shape the future of the market, facilitating the collaborative analysis of massive datasets and accelerating research breakthroughs.

This page contains the source data for the manuscript describing the Data Citation Explorer, currently in review for publication. The preprint version can be found on this page.

Files:

DCE_manual_eval_sample.xlsx:

This file was used to manually evaluate hits generated by the Data Citation Explorer. There are two separate sheets: one with publications returned by searches in PubMed and PubMed Central and another with publications returned by searches in Dimensions. Column descriptions can be found in the file itself. Each row in each evaluation sheet refers to a pair between a JAMO record and a linked publication.

DCE_citation_report.csv

Contains JAMO record IDs and PubMed IDs from the initial 2020 DCE trial run. There are 238,994 unique JAMO IDs and 30,641 unique PubMed IDs. 78,104 JAMO records are linked with publications.

Columns:

• jamo_id - unique JAMO record ID
• sample_group - Sample strata from which manually evaluated records were pulled
• citation_count - Number of citations associated with each record
• citations - comma-delimited PubMed IDs for linked publications
• sampled - True/False, denoting which records were included in the initial evaluation sample
• notes - descriptions for why certain sampled records were excluded from manual evaluation
• unprocessed - True/False. These 7,890 records contained anomalous fields that caused them to be rejected for processing. They are represented as zero-length files in the archive.

DCE_source_files.zip:

This folder contains 3 files for each JAMO record in DCE_citation_report.tsv. For each JAMO record listed in the citation report, three files are provided:

1. JAMO_ID_source.yaml - The fields extracted from the JAMO record that were relevant to the citation search, including any previously known PMIDs (manually curated).
2. JAMO_ID_expand.yaml - The source record augmented with additional metadata discovered in other resources, including the citations that were discovered based on querying PubMed Central for the values in those metadata fields.
3. JAMO_ID_audit.json - The audit path as a directed acyclic graph, in JSON.

This data set provides sample data and NCBI accession information for genomic sequencing of ptarmigan and grouse from Alaska.