Laboratory Software Market worth $10.12 billion by 2030 | MarketsandMarkets

DELRAY BEACH, Fla., Dec. 4, 2025 /PRNewswire/ -- According to MarketsandMarkets, the Laboratory Software Market is projected to grow from about USD 6.31  billion in 2025 to USD 10.12 billion by 2030, at a CAGR of 9.9%.

Browse 155 market data Tables and 70 Figures spread through 250 Pages and in-depth TOC on "Laboratory Software Market - Global Forecast to 2030"

Laboratory Software Market Size & Forecast:

• Market Size Available for Years: 2023–2030
• 2025 Market Size: USD 6.31 billion
• 2030 Projected Market Size: USD 10.12 billion
• CAGR (2025–2030): 9.9%

Laboratory Software Trends & Insights:

• The analytics & reporting segment holds a significant market share in the laboratory software market.
• The software segment has the fastest growth rate in the laboratory software market by component.
• The North American laboratory software market dominated, with the largest share of 39% in 2024.

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Growth in this market is driven by data integration, quality assurance, and automation solutions such as AI and machine learning, with the informatics solution to analyze the vast amount of data generated in the laboratory, as Machine Learning algorithms can detect correlations based on historical data, and AI can design experiments by suggesting parameters based on existing data. For instance, LabVantage Solutions offers a product called LabVantage Analytics, an advanced analytics solution integrated with its LIMS platform. The application leverages AI and machine learning to provide actionable insights from the LIMS. However, the resistance to change and the complexity of integration and interoperability challenges are expected to restrain market growth to some extent.

By function type, the analytics & reporting segment holds a significant market share in the laboratory software market.

analytics and reporting hold a significant share of the laboratory software market as laboratories generate increasingly large and complex datasets from instruments, high-throughput assays, and digital workflows. Advanced analytics capabilities enable scientists to extract meaningful insights, identify trends, and support faster decision-making in research, diagnostics, and quality control environments. With a growing emphasis on predictive insights, anomaly detection, and data visualization, analytics and interpretation tools are becoming increasingly essential for maximizing scientific outcomes and operational efficiency, driving strong adoption across pharmaceutical, biotech, clinical, and industrial laboratories.