The global genomics data storage and management market was valued at USD 3.12 billion in 2025. The market is estimated at USD 3.58 billion in 2026 and is projected to reach USD 12.46 billion by 2036, at a CAGR of 13.3% during the forecast period 2026-2036. This report assesses sequencing data growth, national programs and biobanks, clinical retention needs, storage technologies, data volumes by file type, total cost of ownership, regulation, pricing per terabyte and per genome, competition, and growth opportunities.
The market covers the services, hardware, and software that keep genomic and multi-omic data safe, organized, archived, and available to users. It includes cloud object, file, and archive tiers; on-premise flash and hybrid arrays, parallel and scale-out NAS file systems, object systems, and tape libraries; compression and encoding tools; orchestration, tiering, lifecycle, metadata, and cataloging software; backup and disaster recovery; and design, migration, and managed services, applied to raw base call and FASTQ files, BAM and CRAM alignments, variant files, and single-cell and spatial data. Secondary and tertiary analysis software, sequencers and reagents, cloud computing used for analysis, general enterprise storage, and EHR and laboratory information systems are excluded.
A single human genome sequenced at standard coverage yields roughly 100 gigabytes or more of raw data, and population programs are now operating at very large scale. According to the U.S. National Institutes of Health (NIH), its All of Us Research Program grew in June 2026 to over 747,000 participants, with 535,000 whole genomes linked to almost 482,000 electronic health records and over 1.3 billion genetic variants, all held and analyzed in the cloud. UK Biobank keeps its entire resource on its cloud Research Analysis Platform and plans 2027 releases that add long-read genomes with epigenetic marks (up to 50,000 people), proteomic profiles of 5,300 proteins (150,000 people), and single-cell RNA data, while Genomics England is sequencing up to 100,000 newborns in its Generation Study.
Holding petabytes for many years is costly, and moving large datasets out of the cloud can trigger heavy egress fees, which leads some organizations to delete raw files, shorten retention, or push data to cheap archive tiers, lowering spending per unit of data even as total volumes rise. Genomic data are sensitive and potentially identifiable, so national laws that restrict cross-border transfer or require in-country storage can limit the use of global cloud services and raise deployment cost. Data scattered across on-premise systems, several clouds, and partner environments, in mixed formats with uneven metadata, is hard to find and reuse despite GA4GH standards, and there is still no clear answer on which data to keep for the long term.
Compression and lifecycle management are a major opportunity: Illumina reported in June 2026 that DRAGEN ORA lossless compression in DRAGEN v4.5 cuts sequencing file sizes to as little as one-fifth of compressed FASTQ and lowers storage costs by up to 80%. AI and foundation model training needs fast storage that can feed GPUs and well-labeled, cataloged datasets, while national programs seek sovereign and hybrid cloud options that keep data in-country. Long-read signal files and spatial imaging data also add volume and complexity. Key trends include the move to object storage and tiered architectures, bringing analysis to where data is stored, and unified management across hybrid and multi-cloud environments.
By component, the genomics data storage and management market is segmented into cloud storage services, storage hardware, data management software, and professional & managed services. Cloud storage services are expected to hold the largest share in 2026, as large resources like All of Us, the SRA, and UK Biobank host their data in the cloud, cloud revenue recurs and rises with every added terabyte, and drug companies and research institutions use the cloud to work with very large datasets. Data management software is set to grow at the highest CAGR, driven by the need to cut storage costs through compression and tiering, the difficulty of tracking data across hybrid and multi-cloud estates, and the growing role of metadata and cataloging in reproducibility, compliance, and AI. Professional and managed services are also expected to grow strongly with data migration and outsourced storage operations.
By storage type, the genomics data storage and management market is segmented into file storage, object storage, block storage, and archival storage. File storage is expected to lead in 2026, as sequencing centers, genome institutes, and research computing groups rely on parallel file systems and scale-out NAS, and analysis pipelines need fast shared access to large files. Object storage is projected to record the highest CAGR, supported by its scalability and durability for very large datasets, its position as the core cloud storage model, its role as a cheaper tier for retention, and wider support in genomic analysis tools. Archival storage on tape and cold cloud tiers remains key for keeping raw data long term.
By deployment mode, the genomics data storage and management market is segmented into cloud-based, hybrid, and on-premise deployment. Cloud-based deployment is expected to hold the largest share in 2026, reflecting its use by biobanks, national programs, public repositories, and pharmaceutical companies, its ability to scale with fast-growing datasets, and its tight link to cloud computing and analysis services. Hybrid deployment is set to grow at the highest CAGR, as data sovereignty rules apply in many countries, sequencing centers and hospitals want to pair fast local storage with cloud scale and archiving, and multi-cloud data management tools are maturing. On-premise systems will stay relevant for sequencing centers and clinical laboratories.
By data type, the genomics data storage and management market is segmented into raw sequencing data, aligned & variant data, multi-omics, single-cell & spatial data, and associated clinical & phenotypic data. Raw sequencing data are expected to account for the largest share in 2026, given the size of base call and FASTQ files relative to processed outputs, the retention of raw files for reanalysis, quality control, and regulatory needs, and the steady rise in sequencing output. Multi-omics, single-cell & spatial data are projected to grow at the highest CAGR, as research groups, biobanks, and drug discovery teams adopt single-cell, spatial, long-read, and proteomic methods that produce large and complex datasets, such as the releases UK Biobank has planned for 2027.
By end user, the genomics data storage and management market is segmented into academic & research institutes, pharmaceutical & biotechnology companies, hospitals & clinical laboratories, government agencies & national genomics programs, and other end users. Academic & research institutes, which include sequencing centers and genome institutes, are expected to hold the largest share in 2026, as they generate a large share of global sequencing volume, run large storage infrastructure, and depend on public repositories and cloud resources. Hospitals & clinical laboratories are expected to grow at the highest CAGR, supported by clinical whole-genome sequencing, newborn genome programs, long retention periods, and the need for secure and compliant storage of patient data. Government agencies and national genomics programs are a key source of large, long-term storage contracts.
North America is expected to be the largest regional genomics data storage and management market in 2026, supported by heavy sequencing activity at genome centers, drug companies, and clinical laboratories, flagship resources like the All of Us program and the cloud-hosted SRA, and a home base for the major cloud and storage vendors, among them AWS, Microsoft, Google Cloud, Dell Technologies, and NetApp. Europe holds a significant share, backed by UK Biobank, Genomics England, the 1+ Million Genomes initiative, leading research institutes, and strict data protection rules that favor in-region and sovereign storage.
Asia-Pacific is projected to grow at the highest CAGR during the forecast period, as sequencing capacity expands rapidly in China, population genomics initiatives advance in Japan, South Korea, Singapore, India, and Australia, in-country data rules create demand for in-country storage, and global and regional providers open new cloud regions. In the Middle East & Africa, population genome projects in Saudi Arabia, the UAE, and Qatar need large sovereign storage, while genomic research and clinical testing in Brazil and Mexico support demand in Latin America.
The genomics data storage and management market is moderately consolidated: hyperscale cloud platforms and enterprise storage vendors hold a sizable part of revenue, and specialists in high-performance storage and in genomic compression and data management compete alongside them. Vendors compete on pipeline performance, scalability, cost per terabyte, security, health data compliance, hybrid and multi-cloud support, and integration with analysis workflows. Leading players are launching fast storage for AI and genomics workloads, opening new and sovereign cloud regions, packaging cloud services for genomics, building compression and lifecycle tools, and forming alliances with sequencer makers, biobanks, and national programs. Recent developments include Illumina's June 2026 DRAGEN ORA compression results, the June 2026 expansion of the All of Us cloud dataset, and UK Biobank's planned 2027 multi-omic releases on its cloud platform.
Key companies profiled in the report include Amazon Web Services, Inc. (U.S.), Google LLC (Google Cloud) (U.S.), Microsoft Corporation (U.S.), Dell Technologies Inc. (U.S.), NetApp, Inc. (U.S.), IBM Corporation (U.S.), Hewlett Packard Enterprise Company (U.S.), Pure Storage, Inc. (U.S.), DataDirect Networks, Inc. (DDN) (U.S.), WEKA (WekaIO, Inc.) (U.S.), and Illumina, Inc. (U.S.).
The market covers the services, hardware, and software that keep genomic and multi-omic data safe, organized, archived, and available to users. It includes cloud object, file, and archive tiers; on-premise flash and hybrid arrays, parallel and scale-out NAS file systems, object systems, and tape libraries; compression and encoding tools; orchestration, tiering, lifecycle, metadata, and cataloging software; backup and disaster recovery; and design, migration, and managed services, applied to raw base call and FASTQ files, BAM and CRAM alignments, variant files, and single-cell and spatial data. Secondary and tertiary analysis software, sequencers and reagents, cloud computing used for analysis, general enterprise storage, and EHR and laboratory information systems are excluded.
A single human genome sequenced at standard coverage yields roughly 100 gigabytes or more of raw data, and population programs are now operating at very large scale. According to the U.S. National Institutes of Health (NIH), its All of Us Research Program grew in June 2026 to over 747,000 participants, with 535,000 whole genomes linked to almost 482,000 electronic health records and over 1.3 billion genetic variants, all held and analyzed in the cloud. UK Biobank keeps its entire resource on its cloud Research Analysis Platform and plans 2027 releases that add long-read genomes with epigenetic marks (up to 50,000 people), proteomic profiles of 5,300 proteins (150,000 people), and single-cell RNA data, while Genomics England is sequencing up to 100,000 newborns in its Generation Study.
Market Dynamics
Rising sequencing output is the main driver of the genomics data storage and management market, as every genome, exome, and transcriptome creates files that must be kept, protected, and managed, and storage needs grow faster than sample counts because raw, intermediate, and processed files are often retained together for reanalysis. National programs and biobanks in North America, Europe, the Middle East, and Asia-Pacific must hold data for decades, give approved researchers controlled access, and link genomes with health records. Clinical tumor profiling, rare disease, hereditary, prenatal, and newborn testing add retention periods set by laboratory and health record rules, along with the security and audit controls required under HIPAA in the U.S. and GDPR in Europe. Through the NIH STRIDES Initiative, the Sequence Read Archive, the largest public store of raw sequencing data, is now fully hosted on Google Cloud and AWS, and cloud is becoming the default for new data collections.Holding petabytes for many years is costly, and moving large datasets out of the cloud can trigger heavy egress fees, which leads some organizations to delete raw files, shorten retention, or push data to cheap archive tiers, lowering spending per unit of data even as total volumes rise. Genomic data are sensitive and potentially identifiable, so national laws that restrict cross-border transfer or require in-country storage can limit the use of global cloud services and raise deployment cost. Data scattered across on-premise systems, several clouds, and partner environments, in mixed formats with uneven metadata, is hard to find and reuse despite GA4GH standards, and there is still no clear answer on which data to keep for the long term.
Compression and lifecycle management are a major opportunity: Illumina reported in June 2026 that DRAGEN ORA lossless compression in DRAGEN v4.5 cuts sequencing file sizes to as little as one-fifth of compressed FASTQ and lowers storage costs by up to 80%. AI and foundation model training needs fast storage that can feed GPUs and well-labeled, cataloged datasets, while national programs seek sovereign and hybrid cloud options that keep data in-country. Long-read signal files and spatial imaging data also add volume and complexity. Key trends include the move to object storage and tiered architectures, bringing analysis to where data is stored, and unified management across hybrid and multi-cloud environments.
Segment Analysis
The report analyzes the market by component, storage type, deployment mode, data type, end user, and geography, helping stakeholders identify the most attractive areas for product development, partnerships, and investment.By component, the genomics data storage and management market is segmented into cloud storage services, storage hardware, data management software, and professional & managed services. Cloud storage services are expected to hold the largest share in 2026, as large resources like All of Us, the SRA, and UK Biobank host their data in the cloud, cloud revenue recurs and rises with every added terabyte, and drug companies and research institutions use the cloud to work with very large datasets. Data management software is set to grow at the highest CAGR, driven by the need to cut storage costs through compression and tiering, the difficulty of tracking data across hybrid and multi-cloud estates, and the growing role of metadata and cataloging in reproducibility, compliance, and AI. Professional and managed services are also expected to grow strongly with data migration and outsourced storage operations.
By storage type, the genomics data storage and management market is segmented into file storage, object storage, block storage, and archival storage. File storage is expected to lead in 2026, as sequencing centers, genome institutes, and research computing groups rely on parallel file systems and scale-out NAS, and analysis pipelines need fast shared access to large files. Object storage is projected to record the highest CAGR, supported by its scalability and durability for very large datasets, its position as the core cloud storage model, its role as a cheaper tier for retention, and wider support in genomic analysis tools. Archival storage on tape and cold cloud tiers remains key for keeping raw data long term.
By deployment mode, the genomics data storage and management market is segmented into cloud-based, hybrid, and on-premise deployment. Cloud-based deployment is expected to hold the largest share in 2026, reflecting its use by biobanks, national programs, public repositories, and pharmaceutical companies, its ability to scale with fast-growing datasets, and its tight link to cloud computing and analysis services. Hybrid deployment is set to grow at the highest CAGR, as data sovereignty rules apply in many countries, sequencing centers and hospitals want to pair fast local storage with cloud scale and archiving, and multi-cloud data management tools are maturing. On-premise systems will stay relevant for sequencing centers and clinical laboratories.
By data type, the genomics data storage and management market is segmented into raw sequencing data, aligned & variant data, multi-omics, single-cell & spatial data, and associated clinical & phenotypic data. Raw sequencing data are expected to account for the largest share in 2026, given the size of base call and FASTQ files relative to processed outputs, the retention of raw files for reanalysis, quality control, and regulatory needs, and the steady rise in sequencing output. Multi-omics, single-cell & spatial data are projected to grow at the highest CAGR, as research groups, biobanks, and drug discovery teams adopt single-cell, spatial, long-read, and proteomic methods that produce large and complex datasets, such as the releases UK Biobank has planned for 2027.
By end user, the genomics data storage and management market is segmented into academic & research institutes, pharmaceutical & biotechnology companies, hospitals & clinical laboratories, government agencies & national genomics programs, and other end users. Academic & research institutes, which include sequencing centers and genome institutes, are expected to hold the largest share in 2026, as they generate a large share of global sequencing volume, run large storage infrastructure, and depend on public repositories and cloud resources. Hospitals & clinical laboratories are expected to grow at the highest CAGR, supported by clinical whole-genome sequencing, newborn genome programs, long retention periods, and the need for secure and compliant storage of patient data. Government agencies and national genomics programs are a key source of large, long-term storage contracts.
Regional Analysis
The report covers North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa, spanning 18 countries, the Nordic countries, and four rest-of-region groups. The regional analysis looks at sequencing activity, national genomics programs and biobanks, health data and data localization rules, cloud region availability, and the presence of storage and cloud providers.North America is expected to be the largest regional genomics data storage and management market in 2026, supported by heavy sequencing activity at genome centers, drug companies, and clinical laboratories, flagship resources like the All of Us program and the cloud-hosted SRA, and a home base for the major cloud and storage vendors, among them AWS, Microsoft, Google Cloud, Dell Technologies, and NetApp. Europe holds a significant share, backed by UK Biobank, Genomics England, the 1+ Million Genomes initiative, leading research institutes, and strict data protection rules that favor in-region and sovereign storage.
Asia-Pacific is projected to grow at the highest CAGR during the forecast period, as sequencing capacity expands rapidly in China, population genomics initiatives advance in Japan, South Korea, Singapore, India, and Australia, in-country data rules create demand for in-country storage, and global and regional providers open new cloud regions. In the Middle East & Africa, population genome projects in Saudi Arabia, the UAE, and Qatar need large sovereign storage, while genomic research and clinical testing in Brazil and Mexico support demand in Latin America.
Competitive Landscape
The report provides a detailed review of the competitive landscape, covering key growth strategies, competitive benchmarking, the competitive dashboard, and market share/rank analysis, together with company profiles that include business overviews, financial performance, genomics data storage and product/service portfolios, strategic developments, and SWOT analyses.The genomics data storage and management market is moderately consolidated: hyperscale cloud platforms and enterprise storage vendors hold a sizable part of revenue, and specialists in high-performance storage and in genomic compression and data management compete alongside them. Vendors compete on pipeline performance, scalability, cost per terabyte, security, health data compliance, hybrid and multi-cloud support, and integration with analysis workflows. Leading players are launching fast storage for AI and genomics workloads, opening new and sovereign cloud regions, packaging cloud services for genomics, building compression and lifecycle tools, and forming alliances with sequencer makers, biobanks, and national programs. Recent developments include Illumina's June 2026 DRAGEN ORA compression results, the June 2026 expansion of the All of Us cloud dataset, and UK Biobank's planned 2027 multi-omic releases on its cloud platform.
Key companies profiled in the report include Amazon Web Services, Inc. (U.S.), Google LLC (Google Cloud) (U.S.), Microsoft Corporation (U.S.), Dell Technologies Inc. (U.S.), NetApp, Inc. (U.S.), IBM Corporation (U.S.), Hewlett Packard Enterprise Company (U.S.), Pure Storage, Inc. (U.S.), DataDirect Networks, Inc. (DDN) (U.S.), WEKA (WekaIO, Inc.) (U.S.), and Illumina, Inc. (U.S.).
How This Report Helps
- Provides reliable market size estimates and long-term forecasts for the global genomics data storage and management market.
- Explains how sequencing growth, national genomics programs, clinical retention rules, and cloud adoption are driving storage demand.
- Assesses the impact of storage and egress costs, privacy and sovereignty rules, and data fragmentation on buying decisions.
- Identifies high-growth opportunities across component, storage type, deployment mode, data type, end user, and region.
- Tracks compression, tiering, object storage, AI-ready infrastructure, and sovereign and hybrid cloud models.
- Benchmarks cloud providers, storage vendors, and genomic data management providers by offering, performance, and partnerships.
- Supports product planning, partnering, pricing, and market entry decisions for vendors, sequencing centers, programs, and investors.
Key Questions Answered
- How big is the global genomics data storage and management market today, and how will it grow through 2036?
- How fast are genomic data volumes growing by sequencing technology and file type?
- What are the main drivers, restraints, opportunities, challenges, and trends shaping the market?
- How do cloud, hybrid, and on-premise storage compare on total cost of ownership?
- How are compression and lifecycle management changing storage costs per genome?
- Which component, storage type, deployment mode, data type, and end user segments will grow the fastest?
- How are data privacy and sovereignty rules shaping storage choices for national genomics programs?
- Which regions and countries offer the most attractive business opportunities?
- Who are the leading companies in the market, and how do they compete?
Table of Contents
1. Introduction
2. Research Methodology
4. Market Overview
5. Genomics Data Storage and Management Market, by Component
6. Genomics Data Storage and Management Market, by Storage Type
7. Genomics Data Storage and Management Market, by Deployment Mode
8. Genomics Data Storage and Management Market, by Data Type
9. Genomics Data Storage and Management Market, by End User
10. Genomics Data Storage and Management Market, by Geography
11. Competitive Landscape
12. Company Profiles
13. Appendix
LIST OF TABLES
LIST OF FIGURES
Companies Mentioned
- Amazon Web Services, Inc.
- Google LLC
- Microsoft Corporation
- Dell Technologies Inc.
- NetApp, Inc.
- IBM Corporation
- Hewlett Packard Enterprise Company
- Pure Storage, Inc.
- DataDirect Networks, Inc.
- WEKA
- Illumina, Inc.
