According to Focus Report Store, the U.S. laboratory information management system (LIMS) market is growing at a CAGR of 10.02% during 2024-2030.
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Report Scope:
Market Size (2030): USD 1.30 Billion
Market Size (2024): USD 735.33 Million
CAGR (2024-2030):10.02%
Historic Year: 2021-2023
Base Year: 2024
Forecast Year: 2025-2030
Segmentation: Product, Component, Deployment, And End-User
Market Overview U.S. LIMS market
The U.S. LIMS market is evolving rapidly, driven by the integration of advanced technologies and their growing importance in drug discovery, development, and clinical diagnostics. Furthermore, the expanding applications of LIMS across sectors such as chemicals, oil, food & beverages, agriculture, cannabis research, and academic and research laboratories are among the key factors supporting market growth in the U.S. In addition, the rapid shift toward lab automation and the increasing popularity of laboratory information management systems are further propelling market growth.
US LIMS Market Recent News
SaaS-based LIMS: Powering the Next Phase of Laboratory Innovation
Software as a Service (SaaS) is emerging as a defining force in the evolution of Laboratory Information Management Systems (LIMS), fundamentally transforming how laboratories manage data and operations. As laboratories accelerate their digital transformation, the demand for flexible, cost-efficient, and remotely accessible solutions continues to rise. Cloud-based LIMS answers this need by eliminating infrastructure burdens and enabling streamlined deployment. According to Scispot (2025), on-premise LIMS setups can exceed $50,000 due to hardware and maintenance costs. In contrast, SaaS alternatives reduce capital expenditure while enhancing speed, compliance, and data accessibility, reshaping lab operations for a more agile and future-ready model.
AI & ML Integration is Revolutionizing Laboratory Information Management Systems
Artificial Intelligence (AI) incorporates a range of technologies designed to replicate functions such as learning, reasoning, and problem-solving. Machine Learning (ML), a specific subset of AI, has demonstrated the ability to learn from data and improve performance over time. These advanced technologies are increasingly being integrated into Laboratory Information Management Systems (LIMS), shaping the future of the industry. As laboratories generate vast amounts of data, there is a growing demand for advanced tools to effectively analyze, manage, and interpret this information. To address these needs, many laboratories are beginning to adopt LIMS enhanced with AI and ML capabilities.
Rising Demand for Genomic-Focused LIMS in a Data-Driven Era
The genomics sector is rapidly emerging as one of the most transformative fields within the life sciences industry, significantly impacting healthcare innovation. As genomic research advances, laboratories are generating unprecedented volumes of complex data. Illumina, a key player in the LIMS landscape, notes that modern genomic studies place immense data and workflow demands on laboratories, challenging their ability to efficiently manage, track, and centralize sample information.
To meet these evolving demands, clinical research and diagnostic labs are turning to Laboratory Information Management Systems (LIMS) specifically optimized for genomics and next-generation sequencing (NGS). These systems support accurate data handling, streamline high-throughput workflows, and ensure integration with other critical lab technologies. The ClinicalTrials.gov report 2024 revealed that genome sequencing studies are on rise in the US. Around 20 major genome sequencing studies reported across the country which were two times higher than Europe.
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Key Vendors
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Market Segmentation & Forecast
Product
Component
Deployment
End-User
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