The global Genomics Data Storage and Management Market was valued at USD 3.12 billion in 2025. It is estimated to reach USD 3.58 billion in 2026 and is projected to grow to USD 12.46 billion by 2036, at a CAGR of 13.3% during the forecast period. This report offers a detailed look at the market, covering key trends, storage technologies, data volumes, regulations, competitive activity, and future growth opportunities.
Genomics data storage and management covers the cloud services, storage hardware, software, and professional services used to hold, move, protect, and catalog genomic data through its life. It includes cloud storage services, storage hardware such as all-flash and hybrid systems, parallel file systems and scale-out NAS, object storage, and tape and archival systems, along with software for compression and encoding, orchestration and tiering, metadata management and cataloging, and backup and disaster recovery, plus the professional and managed services used to design and run these systems.
Genomic data is now accumulating in multi-petabyte national estates that must be held in governed and often in-country storage. The Genome Sequence Archive of CNCB-NGDC in China passed 100 PB of user submissions in February 2026, with data from 1,272 institutions, and the 2025 supercomputer of the National Institute of Genetics in Japan provides 83 PB of storage, including 15 PB of tape. In the U.S., the All of Us Research Program reported more than 880,000 participants in May 2026, with researchers unable to download raw data and a central cloud platform that the NIH states saves at least USD 3.8 billion in storage compared with storage at 1,350 institutions. Each of these programs therefore becomes a recurring buyer of capacity and data management.
The report examines storage technologies from parallel file systems to tape archives, genomic data compression and encoding, orchestration and tiering, security and access control, data volumes by sequencing technology and file type, retention requirements, total cost of ownership across cloud, hybrid, and on-premise options, the value chain, regulations, and pricing per terabyte and per genome. It also provides market forecasts, segment-level insights, and regional analysis across 5 regions and 23 countries and sub-regions.
Long-term storage and data egress remain expensive, and the cost of holding raw files for a decade or more is difficult for many institutions to justify. Data privacy, security, and sovereignty requirements add further complexity, since genomic data is among the most tightly regulated categories and rules such as GDPR, HIPAA, and the DOJ Data Security Program in the U.S. restrict how it may be stored and moved. Managing data across multiple locations and formats is a continuing challenge, and uncertainty about how long raw data must be kept makes it hard for organizations to plan capacity and budgets.
Compression and lifecycle management tools offer a direct way to cut retention costs, with Illumina stating that DRAGEN ORA reduces the FASTQ files of a 30x human whole genome from 55 GB in gzip format to 11 GB. AI-ready data infrastructure is becoming a requirement as organizations train and run models on genomic data, and sovereign and hybrid cloud storage is opening new opportunities as national programs look for in-country capacity linked to cloud services. The growth of long-read, single-cell, and spatial data is adding large new volumes, while the shift toward object storage and tiered architectures, bringing analysis to the data, and hybrid and multi-cloud data management are the key trends shaping the market.
Based on component, the market is segmented into cloud storage services, storage hardware, data management software, and professional & managed services. In 2026, cloud storage services are expected to account for the largest share of 38.0% of the market, as national archives and biobanks hold their data on hyperscale cloud storage, including NCBI SRA, which keeps a complete copy of its corpus on Google Cloud, and UK Biobank, whose whole genome sequences for 500,000 participants are available only on a research platform hosted in the AWS London region. The data management software segment is expected to grow the fastest, driven by compression and tiering tools that cut the cost of long-term retention and by the EU Genomic Data Infrastructure, which gives federated access to more than 1 million genomes held in national nodes.
Based on storage type, the market is segmented into file storage, object storage, block storage, and archival storage. In 2026, file storage is expected to hold the largest share of 40.0%, reflecting the parallel file systems on which sequencing pipelines and genome centres run, such as the Lustre file system of the National Institute of Genetics providing 18 PB of analysis storage on DDN systems and the WekaIO file system at Genomics England. The object storage segment is expected to grow the fastest, driven by archives that move to object stores for capacity, as at Genomics England, whose object storage grew from 40 PB to more than 100 PB across three data centres.
Based on deployment mode, the market is segmented into cloud-based, hybrid, and on-premise. In 2026, cloud-based deployment is expected to hold the largest share of 56.0%, as national programs hold and share their data through central cloud platforms, including All of Us and UK Biobank, and as Genomics England migrated the 50 PB produced in the 100,000 Genomes Project from on-premise research environments to Amazon S3. The hybrid segment is expected to grow the fastest, driven by data residency rules that keep genomic data in the country while linking it to cloud tiers, including the human genetic resources rules of China, Federal Law No. 2 of 2019 in the UAE, and the PDPL of Saudi Arabia.
Based on data type, the market is segmented into raw sequencing data, aligned & variant data, multi-omics, single-cell & spatial data, and associated clinical & phenotypic data. In 2026, raw sequencing data is expected to hold the largest share of 40.0%, reflecting the size of BCL and FASTQ files and archives that keep raw originals. The multi-omics, single-cell & spatial data segment is expected to grow the fastest, driven by proteomic, long-read, and transcriptomic data added to large cohorts, such as the UK Biobank Pharma Proteomics Project, and by Illumina's acquisition of SomaLogic in January 2026.
Based on end user, the market is segmented into academic & research institutes, pharmaceutical & biotechnology companies, hospitals & clinical laboratories, government agencies & national genomics programs, and other end users. In 2026, academic & research institutes are expected to hold the largest share of 36.0%, as genome centres and national research computing centres hold most genomic estates. The hospitals & clinical laboratories segment is expected to grow the fastest, driven by clinical sequencing and its retention inside health systems, with the NHS Genomic Medicine Service delivering over 810,000 genomic tests in 2024, up 8% on 2023.
In 2026, North America is expected to account for the largest share of 45.5% of the global market. The U.S. accounts for most of this, with federal archives such as NCBI SRA and AnVIL running on cloud object storage, the All of Us Research Program holding its data on a central cloud platform, and the VA Million Veteran Program storing over 30 PB of genetic information on an all-flash platform, while the DOJ Data Security Program raises spending on compliant storage and vendor controls.
Europe holds a 26.5% share in 2026, supported by the European Health Data Space, the EU Genomic Data Infrastructure, UK Biobank, and large national estates at Genomics England and the Wellcome Sanger Institute. Asia-Pacific, with a 20.0% share, is expected to grow the fastest during the forecast period. China keeps genomic data in the country under its human genetic resources rules and its Genome Sequence Archive passed 100 PB, South Korea's National Project of Bio Big Data targets 1 million people by 2032, Singapore's NPM Phase III is to sequence 400,000 to 450,000 genomes, and India is the fastest-growing country market, where publicly funded life science data must be archived at the Indian Biological Data Centre. The Middle East & Africa and Latin America are smaller markets, where national genome programs and new in-country cloud regions are driving demand.
The global genomics data storage and management market was moderately fragmented in 2025, with hyperscale cloud providers, storage system vendors, and a sequencing company competing for different tiers of the same data estates. Amazon Web Services counts Genomics England, UK Biobank, Illumina, and GRAIL among its named genomics storage customers, Alphabet offers Google Cloud Managed Lustre file storage to 80.1 PiB, and Microsoft reported Azure revenue above USD 100 billion in FY2026 but retired Microsoft Genomics and removed genomic datasets from Azure Open Datasets in 2025. Among system vendors, Dell Technologies supplies PowerScale to the Wellcome Sanger Institute, IBM supplies Storage Scale with tape for archival tiers, and Everpure names genomics as a FlashBlade//S workload. DDN and WEKA lead in parallel file systems for large genomic estates, at the National Institute of Genetics and Genomics England respectively, while Illumina reduces storage at the source through DRAGEN ORA compression on its sequencers.
Because none of the profiled companies discloses revenue specifically from genomics data storage, the report ranks them on a genomics storage presence index built from documented deployments, portfolio coverage, and roles in national programs and public archives, rather than assigning market shares. Between January 2025 and October 2026, the profiled companies raised capital, launched new storage platforms, and added in-country capacity. DDN received a USD 300 million investment from Blackstone at a USD 5 billion valuation in January 2025, AWS made its European Sovereign Cloud generally available in January 2026, Pure Storage rebranded as Everpure in February 2026, Google Cloud raised the throughput of Managed Lustre to 10 TBps in April 2026, and NetApp announced its intent to acquire PEAK:AIO in September 2026. Competition is therefore moving toward combined file, object, and archive platforms with in-country hosting options.
Key companies profiled in the report include Amazon.com, Inc. (U.S.), Alphabet Inc. (U.S.), Microsoft Corporation (U.S.), Dell Technologies Inc. (U.S.), NetApp, Inc. (U.S.), International Business Machines Corporation (U.S.), Hewlett Packard Enterprise Company (U.S.), Everpure, Inc. (U.S.), DataDirect Networks, Inc. (DDN) (U.S.), WekaIO, Inc. (U.S.), and Illumina, Inc. (U.S.).
Genomics data storage and management covers the cloud services, storage hardware, software, and professional services used to hold, move, protect, and catalog genomic data through its life. It includes cloud storage services, storage hardware such as all-flash and hybrid systems, parallel file systems and scale-out NAS, object storage, and tape and archival systems, along with software for compression and encoding, orchestration and tiering, metadata management and cataloging, and backup and disaster recovery, plus the professional and managed services used to design and run these systems.
Genomic data is now accumulating in multi-petabyte national estates that must be held in governed and often in-country storage. The Genome Sequence Archive of CNCB-NGDC in China passed 100 PB of user submissions in February 2026, with data from 1,272 institutions, and the 2025 supercomputer of the National Institute of Genetics in Japan provides 83 PB of storage, including 15 PB of tape. In the U.S., the All of Us Research Program reported more than 880,000 participants in May 2026, with researchers unable to download raw data and a central cloud platform that the NIH states saves at least USD 3.8 billion in storage compared with storage at 1,350 institutions. Each of these programs therefore becomes a recurring buyer of capacity and data management.
The report examines storage technologies from parallel file systems to tape archives, genomic data compression and encoding, orchestration and tiering, security and access control, data volumes by sequencing technology and file type, retention requirements, total cost of ownership across cloud, hybrid, and on-premise options, the value chain, regulations, and pricing per terabyte and per genome. It also provides market forecasts, segment-level insights, and regional analysis across 5 regions and 23 countries and sub-regions.
Market Dynamics
Sequencing output continues to rise faster than the storage budgets that support it, and a single 30x human whole genome produces about 235 GB of raw data according to Illumina, which makes capacity growth the main driver of this market. National genomics programs and biobanks are expanding at the same time, each creating estates measured in tens or hundreds of petabytes. Clinical genomic testing adds further demand because results must be retained for years under laboratory rules, and the shift of genomic data to cloud storage and trusted research environments is moving spending from one-off hardware purchases to recurring service contracts.Long-term storage and data egress remain expensive, and the cost of holding raw files for a decade or more is difficult for many institutions to justify. Data privacy, security, and sovereignty requirements add further complexity, since genomic data is among the most tightly regulated categories and rules such as GDPR, HIPAA, and the DOJ Data Security Program in the U.S. restrict how it may be stored and moved. Managing data across multiple locations and formats is a continuing challenge, and uncertainty about how long raw data must be kept makes it hard for organizations to plan capacity and budgets.
Compression and lifecycle management tools offer a direct way to cut retention costs, with Illumina stating that DRAGEN ORA reduces the FASTQ files of a 30x human whole genome from 55 GB in gzip format to 11 GB. AI-ready data infrastructure is becoming a requirement as organizations train and run models on genomic data, and sovereign and hybrid cloud storage is opening new opportunities as national programs look for in-country capacity linked to cloud services. The growth of long-read, single-cell, and spatial data is adding large new volumes, while the shift toward object storage and tiered architectures, bringing analysis to the data, and hybrid and multi-cloud data management are the key trends shaping the market.
Segment Analysis
The report analyzes the market by component, storage type, deployment mode, data type, end user, and geography, helping stakeholders identify the most promising growth opportunities.Based on component, the market is segmented into cloud storage services, storage hardware, data management software, and professional & managed services. In 2026, cloud storage services are expected to account for the largest share of 38.0% of the market, as national archives and biobanks hold their data on hyperscale cloud storage, including NCBI SRA, which keeps a complete copy of its corpus on Google Cloud, and UK Biobank, whose whole genome sequences for 500,000 participants are available only on a research platform hosted in the AWS London region. The data management software segment is expected to grow the fastest, driven by compression and tiering tools that cut the cost of long-term retention and by the EU Genomic Data Infrastructure, which gives federated access to more than 1 million genomes held in national nodes.
Based on storage type, the market is segmented into file storage, object storage, block storage, and archival storage. In 2026, file storage is expected to hold the largest share of 40.0%, reflecting the parallel file systems on which sequencing pipelines and genome centres run, such as the Lustre file system of the National Institute of Genetics providing 18 PB of analysis storage on DDN systems and the WekaIO file system at Genomics England. The object storage segment is expected to grow the fastest, driven by archives that move to object stores for capacity, as at Genomics England, whose object storage grew from 40 PB to more than 100 PB across three data centres.
Based on deployment mode, the market is segmented into cloud-based, hybrid, and on-premise. In 2026, cloud-based deployment is expected to hold the largest share of 56.0%, as national programs hold and share their data through central cloud platforms, including All of Us and UK Biobank, and as Genomics England migrated the 50 PB produced in the 100,000 Genomes Project from on-premise research environments to Amazon S3. The hybrid segment is expected to grow the fastest, driven by data residency rules that keep genomic data in the country while linking it to cloud tiers, including the human genetic resources rules of China, Federal Law No. 2 of 2019 in the UAE, and the PDPL of Saudi Arabia.
Based on data type, the market is segmented into raw sequencing data, aligned & variant data, multi-omics, single-cell & spatial data, and associated clinical & phenotypic data. In 2026, raw sequencing data is expected to hold the largest share of 40.0%, reflecting the size of BCL and FASTQ files and archives that keep raw originals. The multi-omics, single-cell & spatial data segment is expected to grow the fastest, driven by proteomic, long-read, and transcriptomic data added to large cohorts, such as the UK Biobank Pharma Proteomics Project, and by Illumina's acquisition of SomaLogic in January 2026.
Based on end user, the market is segmented into academic & research institutes, pharmaceutical & biotechnology companies, hospitals & clinical laboratories, government agencies & national genomics programs, and other end users. In 2026, academic & research institutes are expected to hold the largest share of 36.0%, as genome centres and national research computing centres hold most genomic estates. The hospitals & clinical laboratories segment is expected to grow the fastest, driven by clinical sequencing and its retention inside health systems, with the NHS Genomic Medicine Service delivering over 810,000 genomic tests in 2024, up 8% on 2023.
Regional Analysis
The report covers North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa, spanning 23 countries and sub-regions. The regional analysis considers genomic data volumes, national programs and archives, clinical sequencing activity, data localization rules, cloud region availability, and the presence of storage vendors.In 2026, North America is expected to account for the largest share of 45.5% of the global market. The U.S. accounts for most of this, with federal archives such as NCBI SRA and AnVIL running on cloud object storage, the All of Us Research Program holding its data on a central cloud platform, and the VA Million Veteran Program storing over 30 PB of genetic information on an all-flash platform, while the DOJ Data Security Program raises spending on compliant storage and vendor controls.
Europe holds a 26.5% share in 2026, supported by the European Health Data Space, the EU Genomic Data Infrastructure, UK Biobank, and large national estates at Genomics England and the Wellcome Sanger Institute. Asia-Pacific, with a 20.0% share, is expected to grow the fastest during the forecast period. China keeps genomic data in the country under its human genetic resources rules and its Genome Sequence Archive passed 100 PB, South Korea's National Project of Bio Big Data targets 1 million people by 2032, Singapore's NPM Phase III is to sequence 400,000 to 450,000 genomes, and India is the fastest-growing country market, where publicly funded life science data must be archived at the Indian Biological Data Centre. The Middle East & Africa and Latin America are smaller markets, where national genome programs and new in-country cloud regions are driving demand.
Competitive Landscape
The report provides a detailed review of the competitive landscape, covering growth strategies, competitive benchmarking, market positioning, rank analysis, genomics storage portfolios, strategic developments, and financial performance of leading companies.The global genomics data storage and management market was moderately fragmented in 2025, with hyperscale cloud providers, storage system vendors, and a sequencing company competing for different tiers of the same data estates. Amazon Web Services counts Genomics England, UK Biobank, Illumina, and GRAIL among its named genomics storage customers, Alphabet offers Google Cloud Managed Lustre file storage to 80.1 PiB, and Microsoft reported Azure revenue above USD 100 billion in FY2026 but retired Microsoft Genomics and removed genomic datasets from Azure Open Datasets in 2025. Among system vendors, Dell Technologies supplies PowerScale to the Wellcome Sanger Institute, IBM supplies Storage Scale with tape for archival tiers, and Everpure names genomics as a FlashBlade//S workload. DDN and WEKA lead in parallel file systems for large genomic estates, at the National Institute of Genetics and Genomics England respectively, while Illumina reduces storage at the source through DRAGEN ORA compression on its sequencers.
Because none of the profiled companies discloses revenue specifically from genomics data storage, the report ranks them on a genomics storage presence index built from documented deployments, portfolio coverage, and roles in national programs and public archives, rather than assigning market shares. Between January 2025 and October 2026, the profiled companies raised capital, launched new storage platforms, and added in-country capacity. DDN received a USD 300 million investment from Blackstone at a USD 5 billion valuation in January 2025, AWS made its European Sovereign Cloud generally available in January 2026, Pure Storage rebranded as Everpure in February 2026, Google Cloud raised the throughput of Managed Lustre to 10 TBps in April 2026, and NetApp announced its intent to acquire PEAK:AIO in September 2026. Competition is therefore moving toward combined file, object, and archive platforms with in-country hosting options.
Key companies profiled in the report include Amazon.com, Inc. (U.S.), Alphabet Inc. (U.S.), Microsoft Corporation (U.S.), Dell Technologies Inc. (U.S.), NetApp, Inc. (U.S.), International Business Machines Corporation (U.S.), Hewlett Packard Enterprise Company (U.S.), Everpure, Inc. (U.S.), DataDirect Networks, Inc. (DDN) (U.S.), 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 output, national programs, clinical retention rules, storage costs, and data sovereignty requirements affect market growth.
- Identifies high-growth opportunities across component, storage type, deployment mode, data type, end user, and region.
- Analyzes storage technologies, compression and tiering, data volumes and retention needs, total cost of ownership, regulations, and pricing per terabyte and per genome.
- Benchmarks leading companies based on documented genomics deployments, portfolio coverage, roles in national programs, and market standing.
- Supports product development, procurement, investment planning, partnership evaluation, market entry, and business expansion decisions.
- Delivers practical market insights for cloud providers, storage system vendors, software companies, sequencing companies, genome centres, clinical laboratories, national genomics 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?
- What technological, clinical, regulatory, and economic factors are driving market growth?
- What are the main drivers, restraints, opportunities, challenges, and trends shaping the industry?
- Which component, storage type, deployment mode, data type, end user, and regional segments will grow the fastest?
- How much genomic data do different sequencing technologies and file types generate, and how long must it be retained?
- How do cloud, hybrid, and on-premise storage compare on total cost of ownership for genomic data?
- Which regions and countries offer the most attractive business opportunities?
- Who are the leading companies in the market, how do they rank, and what strategies are they following?
- How can stakeholders use this report to support investment decisions, product development, competitive benchmarking, and long-term strategy?
Table of Contents
1. Introduction
2. Research Methodology
3. Executive Summary
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
List of Tables
List of Figures
Companies Mentioned
- Amazon.com, Inc.
- Alphabet Inc.
- Microsoft Corporation
- Dell Technologies Inc.
- NetApp, Inc.
- International Business Machines Corporation
- Hewlett Packard Enterprise Company
- Everpure, Inc.
- DataDirect Networks, Inc.
- WekaIO, Inc.
- Illumina, Inc. (U.S.),
