Automated NGS Library Preparation Market Size worth $2,226.32 Million by 2032 | CAGR: 14.10%

Press Release Image
Report ID AV3795
Published Date May 2025
Pages NA
Industry Healthcare
Format PPT/PDF
Base Year 2025
Historical Data 2019-2024
Delivery Timeline 24 Hour

The global Automated NGS Library Preparation Market is expected to grow at growth rate of 14.10% to reach USD 2,226.32 Million by 2032.

Automated NGS (Next-Generation Sequencing) library preparation involves the use of robotics or automated systems to perform the necessary steps for preparing DNA or RNA samples for sequencing. The ""library"" consists of DNA fragments that have been processed and tagged with adapters, enabling them to be read by an NGS machine.

Next-generation sequencing (NGS) has become a cornerstone of modern genomics, facilitating large-scale genomic, transcriptomic, and epigenomic research. The increasing demand for high-throughput sequencing is driven by the rapid growth of genomic data across various sectors, including biomedical research, agriculture, and infectious disease surveillance. Automated NGS library preparation systems play a critical role in meeting this demand by enabling laboratories to process hundreds to thousands of samples with minimal manual intervention. This scalability is essential for large-scale studies, personalized medicine, and major diagnostic programs such as cancer genomics and newborn screening. Automation helps reduce human error, minimizes variability, and ensures consistency across samples—key factors for maintaining reproducibility and meeting regulatory standards in both research and clinical settings.

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Clinical diagnostics is one of the most impactful areas for NGS, particularly in oncology, rare disease detection, and infectious disease testing. As precision medicine continues to advance, there is an increasing need for fast, reliable, and standardized sequencing workflows. Government-supported initiatives worldwide are further accelerating this demand. For example, the UK’s 100,000 Genomes Project is expanding with the goal of sequencing 5 million genomes, while the U.S. All of Us Research Program aims to collect health data from over 1 million individuals. In India, the Genome India Project is working to sequence over 10,000 genomes to support population-specific research. These large-scale initiatives are driving the demand for automated, scalable, and cost-effective NGS solutions, sparking continuous innovation in laboratory automation technologies.

The genome sequencing market is divided into four main types: targeted genome sequencing, whole genome sequencing, whole exome sequencing, and others. Among these, targeted genome sequencing holds the largest market share due to its high accuracy and precise application in identifying genetic variations. This method is particularly valuable in both clinical and research settings where specific genes or genomic regions are the focus of analysis. According to the National Institutes of Health (NIH), over 75% of clinical sequencing projects in the U.S. in 2024 utilized targeted genome sequencing, primarily because of its cost-effectiveness and strong diagnostic reliability.

KEY BENEFITS OF THE REPORT:

  • Insights into strategies adopted by key players to maintain competitiveness.
  • Comprehensive analysis of the leading companies shaping the competitive landscape.
  • Examination of the key drivers fuelling global market growth.
  • Identification of the geographic regions expected to experience the highest growth.
  • Detailed evaluation of the current market conditions and future growth projections.

The automated NGS library preparation market is moderately fragmented, with several key players actively competing through strategies such as product innovation, strategic partnerships, and acquisitions. Leading companies are focusing on developing advanced, user-friendly solutions and expanding their global presence to meet the growing demand for next-generation sequencing technologies. For example, Roche has introduced a fully automated, integrated sequencing system that provides end-to-end control over library preparation and target enrichment, streamlining the entire sequencing workflow.

Market Segmentation

The scope of this report covers the market by its major segments, which include as follows:

GLOBAL AUTOMATED NGS LIBRARY PREPARATION MARKET KEY PLAYERS- DETAILED COMPETITIVE INSIGHTS

  • Illumina Inc.
  • Thermo Fisher Scientific Inc.
  • QIAGEN N.V.
  • Agilent Technologies Inc.
  • PerkinElmer Inc.
  • Roche
  • Tecan Group Ltd.
  • seqWell
  • Bio-Rad Laboratories Inc.
  • Beckman Coulter
  • New England Biolabs Inc.
  • INTEGRA Biosciences
  • Pacific Biosciences of California Inc.
  • OPENTRONS Labworks Inc.
  • SPT Labtech
  • Takara Bio Inc.
  • Others

GLOBAL AUTOMATED NGS LIBRARY PREPARATION MARKET, BY TYPE- MARKET ANALYSIS, 2019-2032

  • Targeted genome sequencing
  • Whole genome sequencing
  • Whole exome sequencing
  • Others

GLOBAL AUTOMATED NGS LIBRARY PREPARATION MARKET, BY WORKFLOW- MARKET ANALYSIS, 2019-2032

  • Nucleic acid extraction
  • Fragmentation
  • Adapter ligation
  • Purification & quantification

GLOBAL AUTOMATED NGS LIBRARY PREPARATION MARKET, BY APPLICATION- MARKET ANALYSIS, 2019-2032

  • Drug & biomarker discovery
  • Disease diagnostics
  • Others

GLOBAL AUTOMATED NGS LIBRARY PREPARATION MARKET, BY END USE- MARKET ANALYSIS, 2019-2032

  • Hospitals & clinics
  • Pharma & biotech companies
  • Genomic research institutes
  • Others

GLOBAL AUTOMATED NGS LIBRARY PREPARATION MARKET, BY REGION- MARKET ANALYSIS, 2019-2032

North America

  • U.S.
  • Canada

Europe

  • Germany
  • UK
  • France
  • Italy
  • Spain
  • The Netherlands
  • Sweden
  • Russia
  • Poland
  • Rest of Europe

Asia Pacific

  • China
  • India
  • Japan
  • South Korea
  • Australia
  • Indonesia
  • Thailand
  • Philippines
  • Rest of APAC

Latin America

  • Brazil
  • Mexico
  • Argentina
  • Colombia
  • Rest of LATAM

The Middle East and Africa

  • Saudi Arabia
  • UAE
  • Israel
  • Turkey
  • Algeria
  • Egypt
  • Rest of MEA

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