In the vast landscape of genomics, next-generation sequencing (NGS) technology has emerged as a game-changer, empowering scientists to unravel the mysteries of DNA with unprecedented precision. However, with great power comes great complexity, and the colossal amounts of data generated by NGS can make even the boldest researchers break a sweat.

As per the BIS Research report, the global NGS data storage market is projected to reach $6.96 billion by 2033 from $1.13 billion in 2022, growing at a CAGR of 18.02% during the forecast period 2023-2033. 

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In order to achieve a significant advancement, software solutions offer the potential to control the complex challenge of processing massive amounts of next-generation sequencing (NGS) data. Even key players such as Illumina, ThermoFisher, Qiagen, Agilent, Bio-Rad Laboratories, PerkinElmer, LGC, and Lexogen are relying on software platforms for their large-scale NGS data storage. 

From optimizing storage infrastructure to implementing advanced compression techniques, this blog will examine the strategies employed by software solutions to ensure efficient and reliable handling of large-scale NGS datasets. 

Distribution of Data Storage Solutions Offerings among Companies

The distribution of data storage solutions offerings is having a significant impact on companies across various industries. As the volume of data generated continues to skyrocket, businesses are grappling with the challenge of efficiently managing and storing this information. 

The availability of a wide range of storage solutions has provided companies with the flexibility to choose the option that best suits their specific needs. Traditional on-premises storage systems, cloud-based storage, and hybrid solutions offer different advantages in terms of scalability, cost-effectiveness, accessibility, and security. 

As per the BIS Research report, in the global NGS data storage market, the data storage solutions segment is projected to exhibit a compound annual growth rate (CAGR) of 17.95% from 2023 to 2033. In 2022, this segment held a market share of 31.39% with a value of $0.36 billion. By 2033, it is anticipated to maintain a share of 31.18% with a value of $2.17 billion.

Additionally, the distribution of data storage solutions has given rise to the need for effective data management strategies. Companies can implement robust data governance practices, including data classification, data retention policies, and data backup and recovery plans. They can ensure seamless integration and compatibility between different storage solutions to avoid data silos and facilitate efficient data sharing and analysis. 

Cloud-Based Data Storage Solutions

Cloud-based storage offers numerous benefits, including scalability, cost-effectiveness with low per-GB prices, and minimal fixed costs. Although these types of data storage solutions offer straightforward pricing plans based on adoption, they also provide practical cost options specifically tailored for cloud-based NGS storage.  

Several companies have integrated cloud-based NGS data storage solutions like 
•    Illumina, Inc.- BaseSpace Sequence Hub (Cloud-based Genomic Solution)
•    Thermo Fisher Scientific, Inc.- Thermo Fisher Connect (Cloud-based Tool)
•    Qumulo, Inc.- Qumulo Cloud (Cloud Migration, Cloud Q)

On-Premises Data Storage Solutions

On-premises storage solutions involve hosting a company's server within its own infrastructure, often provided onsite. The company is responsible for managing, controlling, maintaining, procuring, and other aspects of the server, typically handled by its in-house IT team. As the production of sequencing data continues to increase, researchers are transitioning from genotyping to whole-genome sequencing (WGS). 

Companies integrating on-premises NGS data storage solutions are: 
•    Illumina, Inc.- DRAGEN Bio-IT Platform
•    Qumulo, Inc.- Server Q, Qumulo Core

Hybrid Data Storage Solutions

A hybrid NGS data storage solution combines elements of both on-premises storage and cloud-based storage to create a flexible and efficient data management approach. It offers the advantages of both storage models, allowing researchers and organizations to optimize their data storage strategies based on specific needs and requirements. By adopting a hybrid NGS data storage solution, researchers and organizations can strike a balance between data security, accessibility, scalability, and cost efficiency. 

Several companies, such as Illumina, DNAnexus, Seven Bridges, and DNASTAR, integrate with their own hybrid NGS data storage solution. 

Conclusion

The progress in data generation, storage, integration, and access, coupled with the emergence of cloud computing storage solutions, has brought substantial improvements in handling constraints associated with analyzing large volumes of high-throughput sequencing data. Compared to traditional NGS methods that involved physically writing files, the adoption of cloud storage solutions has greatly benefited the sequencing market as a whole.