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Aquaculture digitalisation: Boosting businesses with data-driven decisions

How digital systems, real-time monitoring, and data platforms are transforming aquaculture operations from feeding to traceability.

Written by Andriy Zhubryd, May 2025

Digitalisation and automation of the aquaculture industry

According to the Food and Agriculture Organization of the United Nations (FAO), “global investment in aquaculture has increased 5 times over the last decade, from nearly $50 billion in 2000 to $250 billion in 2022.” The spread of digital technologies and the modernisation of the industry have driven this growth, and leading companies spend 3–6% of their revenue on software initiatives.

Digitalisation is transforming aquaculture in five main ways:

  • •Automation: Automated feeding, monitoring, harvesting, and processing cut labour costs and improve efficiency, and make it possible to track fish health and behaviour more accurately.
  • •Data analytics: Analytics tools process large volumes of data on fish health, behaviour, and the environment, finding the patterns and anomalies that inform management decisions and raise productivity.
  • •Remote monitoring: Sensors, cameras, and other digital devices let farmers track fish behaviour and water quality from a distance, so they can respond quickly to environmental changes.
  • •Precision farming: Feeding, water quality, and other factors are monitored and adjusted in real time, which optimises fish growth and reduces waste.
  • •Traceability: Digital systems make the supply chain more transparent from farm to market, ensuring product quality and regulatory compliance.

Working with data platforms in aquaculture: strategies and tools

Managing large datasets calls for specialised tools:

  • •Dashboard and visualisation tools: Bring multiple data sources into easy-to-use interfaces where patterns across datasets are easier to spot.
  • •Cloud-based platforms: Store and analyse data centrally, accessible from anywhere, so stakeholders can collaborate in real time.
  • •Artificial intelligence and machine learning: Automate the analysis of large datasets to find patterns that aren't obvious and produce insights quickly.
  • •Integrated farm management systems: Bring operational data from feeding through to processing into unified platforms that give real-time insight into operations.
“One of the most efficient ways to perform analytics and monitor key parameters is to develop a data environment that provides valuable insights to management in real time: a Data Platform.”

Long-term benefits of data platforms

Data platforms deliver sustained competitive advantages:

  • •Improved production efficiency: Real-time environmental and process data makes it possible to optimise feeding regimes and water quality, which reduces mortality and increases yields.
  • •Enhanced sustainability: Monitoring environmental conditions supports responsible operations and meets consumer demand for sustainable seafood.
  • •Better decision making: Real-time insight into production and market trends leads to better-informed strategic choices and higher profitability.
  • •Improved supply chain management: Complete visibility from hatchery to consumer means better inventory management, less waste, and more efficient delivery.
  • •Increased innovation: Access to real-time data helps companies identify trends and develop competitive products.

Transforming aquaculture data into value

Real-time monitoring technology lets operations optimise their practices and increase yields. The company's data-driven platforms support predictive analytics for resource management, finance, operations, and sales, informing decisions that promote sustainable growth.

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