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Laboratory software is forecast to reach USD 10.62 billion by 2031, as AI, cloud platforms and integration reshape data management, workflows and compliance across connected laboratory environments.
Digital transformation continues to reshape how laboratories manage data, connect instruments and deliver reliable results. As demand grows for greater efficiency, traceability and compliance, laboratories are increasingly moving from standalone software towards connected, cloud-based platforms.
The global laboratory software market is forecast to grow from USD 6.46 billion in 2026 to USD 10.62 billion by 2031, representing a compound annual growth rate of 10.5%. This growth reflects a wider shift across life sciences, healthcare, research and quality-control environments, where laboratories are managing larger datasets, more complex workflows and increasing regulatory expectations.
At the centre of this change are laboratory information management systems, electronic laboratory notebooks, instrument data platforms and compound-management tools. When integrated effectively, these systems can help laboratories reduce manual data handling, strengthen audit trails and give teams a clearer view of sample status, instrument performance and workflow capacity.
Artificial intelligence is also becoming a more visible part of the laboratory technology landscape. AI-enabled tools can support automated data analysis, anomaly detection and predictive quality control, helping teams identify potential issues earlier and prioritise work more effectively. In compound management, automation and AI are expected to support particularly strong growth, with the market projected to expand at a 14.87% compound annual growth rate through 2031.
However, successful digitalisation depends on more than selecting a new platform. Laboratory systems must be configured around real workflows, integrated with existing instruments and validated to meet relevant quality and compliance requirements. Training, change management and reliable technical support are equally important, particularly where teams are moving from paper-based or disconnected processes.
This need for specialist implementation support is reflected in the market, where technical services currently account for the largest share of laboratory software activity. For many organisations, the value of a digital platform is determined not simply by its features, but by how reliably it works within day-to-day laboratory operations.
For laboratory professionals, the opportunity is to build more connected and data-driven environments without compromising scientific oversight. The strongest digital strategies will combine robust technology with clear governance, skilled teams and well-defined processes.
As laboratories continue to adopt automation, cloud infrastructure and AI, digital readiness will become an increasingly important part of maintaining quality, efficiency and resilience.
