Authors:
Avinash Singh, Sunita Singh
Download free PDF
Aquaculture Monitoring and Automation Systems Market Size & Share 2026-2035
Report ID: GMI16099
|
Published Date: August 2026
|
Report Format: PDF/Excel/Dashboard/Platform
Download Free PDF
Explore Our Licensing Options:
Download Free PDF
Aquaculture Monitoring and Automation Systems Market
Get a free sample of this reportWhat are you hoping to find?
Your PDF is on its way. Tell us little about your research goal, and we'll help you find the most relevant market insights.

Aquaculture Monitoring and Automation Systems Market Size
The global aquaculture monitoring and automation systems market was valued at USD 1.64 billion in 2025 and will reach USD 4.03 billion by 2035, expanding at a 9.4% CAGR over 2026–2035. According to the latest report published by Global Market Insights Inc., the market measures demand for aquaculture-specific hardware, software, and services used to monitor, control, and automate farm operations.
Aquaculture Monitoring and Automation Systems Market Key Takeaways
Market Leader: AKVA Group led with over 6.7% market share in 2025.
Leading Players: Top 5 players in this market include AKVA Group, Pentair Aquatic Eco-Systems, Xylem/YSI, Deep Trekker, ScaleAQ, which collectively held a market share of 14.2% in 2025.
It includes water-quality sensors, cameras, ROVs, control units, feeding equipment, farm-management software, AI analytics, SCADA, integration, maintenance, and managed services across cage, pond, RAS, raceway, shellfish, and integrated multi-trophic operations. It excludes wild-capture fisheries equipment, generic industrial automation, feed products, unrelated vessel systems, and laboratory equipment not deployed on farms.
The market expanded at an 8.6% CAGR from 2022 to 2025. The 2025 estimate applies a three-method triangulation: production-value penetration rates, farm-tier spending and adoption rates, and market-relevant company revenue. The model measures demand-side spending by farms, research institutions, government bodies, hatcheries, and cooperatives. Aquaculture produced 98.5 million tonnes of aquatic animals in 2023, while total farm-gate value reached USD 365.7 billion, creating a large production base for monitoring and automation investment. [1]Food and Agriculture Organization of the United Nations, "FAO Yearbook: Fishery and Aquaculture Statistics 2023," fao.org
Growth rests on a change in the operating role of technology. A water-quality sensor has value as an instrument, but its economic role expands when its feed, biomass, mortality, and environmental data can be combined within an operating workflow. That integration can reduce response time, support digital records, and make feeding decisions more precise. Software and services therefore grow faster than the installed hardware base, even though physical equipment remains indispensable at every farm.
GMI Analyst View
Hardware will remain the largest revenue pool because every farm format requires sensing, control, or feeding equipment. Incremental value will increasingly accrue to software and managed services that turn operating data into decisions. Norway’s salmon sector and land-based RAS facilities in Europe and North America already support deeply integrated systems, while shrimp and inland pond farms will often enter through lower-cost connected devices. By 2030, vendors able to support interoperability across mixed equipment fleets will have a stronger commercial position than suppliers selling isolated instruments.
Key Drivers
Rising seafood demand and a constrained capture-fisheries supply response.
Aquaculture carries a growing share of seafood supply as production systems must serve protein demand without relying on expansion in wild capture. The FAO recorded 94.4 million tonnes of farmed aquatic animal output in 2022. At the farm level, higher stocking density and higher-value species raise the cost of delayed responses to oxygen, temperature, and disease events. Monitoring systems become risk-control infrastructure rather than discretionary productivity tools. The commercial effect is strongest in Asia Pacific and Latin America, where high production volume creates a broad installed-base opportunity.
Labor scarcity and operating-cost pressure.
Remote cages and high-density RAS facilities require frequent observation, feeding control, and inspection. Automation removes repeat manual tasks, including parameter logging, feed scheduling, and underwater inspection. The direct operational effect is fewer routine interventions; the more material commercial effect is a shorter payback period when a farm avoids feed loss, equipment failure, or delayed environmental response. Remote dashboards, camera systems, ROVs, and managed services allow operators to extend a smaller technical workforce across more sites.
Compliance, traceability, and environmental reporting.
Regulation (EU) 2023/2842 strengthens electronic documentation and traceability within the EU fisheries-control framework. [2]European Union, "Regulation (EU) 2023/2842 on Fisheries Control," eur-lex.europa.eu The requirement supports investment in digital logs and data-management workflows among producers supplying regulated markets. Continuous monitoring does not replace compliance processes, but it lowers the cost of collecting and reconciling operating records. The second-order effect is greater demand for systems that make sensor data usable in auditable reports rather than merely visible on a local display.
IoT, AI, and edge-processing advances.
Low-power connectivity and edge processing improve the practicality of continuous monitoring at remote coastal and offshore sites. Local processing can filter sensor events before transmission, which reduces operator dependence on raw-data review. Cloud delivery then shifts part of the procurement burden from upfront equipment spending to recurring operating expenditure. That commercial model is especially relevant to small and medium-sized farms that cannot staff a dedicated technology team.
Key Restraints
High upfront capital requirements.
Integrated installations require spending on sensors, controls, cameras, communications, site preparation, and installation. The burden falls most heavily on small and medium-sized farms with constrained financing. Leasing, equipment-as-a-service, and modernization grants can reduce entry barriers, but they do not remove the need for maintenance capability and operating discipline. The result is usually delayed adoption rather than permanent exclusion, particularly in feed-intensive or high-mortality-risk production systems.
Marine sensor durability and corrosion.
Open-sea equipment faces biofouling, salinity, corrosion, and physical wear that increase calibration and replacement needs. These lifecycle costs are material for cage operators because an unreliable sensor can be more damaging than no sensor when it creates false confidence. Suppliers respond with anti-fouling materials, encapsulation, redundancy, and service contracts. Offshore cage markets in Norway, Chile, and Japan therefore favor vendors that can demonstrate long-term field reliability.
Limited technical expertise in developing production regions.
Connected systems require setup, calibration, data interpretation, and disciplined response protocols. Technical training and broadband coverage remain uneven across South Asia, Southeast Asia, and Sub-Saharan Africa. Products with simpler workflows and local service capacity will scale more readily in these markets. Managed services can transfer some complexity to suppliers, but support availability remains a commercial selection criterion.
GMI Analyst View
The market’s drivers and constraints arise from the same operating reality: farms need more control but cannot always absorb complex capital projects. Modular hardware, subscription software, and vendor-led integration will convert that tension into demand. Compliance creates a need for digital records, while labor pressure rewards systems that reduce routine observation. Through 2028, vendors that demonstrate a clear operating return before a full automation commitment will gain the broadest customer base.
Aquaculture Monitoring and Automation Systems Market Segment Analysis
By Offering
Hardware generated USD 869 million, or 53.0% of market revenue, in 2025. Sensors represented USD 295 million, underwater cameras and computer-vision devices USD 164 million, ROVs and autonomous underwater vehicles USD 66 million, control units USD 131 million, and automated feeding dispensers USD 213 million. Hardware will grow at 8.5% CAGR as deployments rise, although mature dissolved-oxygen, pH, and temperature instruments face price compression. Aquabyte camera platforms, CageEye acoustic units, Deep Trekker ROVs, and automated dispensers illustrate the move from individual devices to connected operational inputs.
Software represented USD 361 million, or 22.0% share, and will grow at 12.8% CAGR. AI and predictive analytics software will lead at 15.2%, ahead of cloud-based farm-management platforms at 12.5%, monitoring dashboards and SCADA at 11.0%, and mobile control interfaces at 12.0%. AKVA Group’s AquaCloud, Innovasea’s InnovaNET, Aquabyte’s biomass analytics, ReelData’s RAS-focused tools, and Manolin’s health platform compete on data integration and decision support. Services contributed USD 410 million, or 25.0% share, with consulting, training, and managed farm services advancing at 11.2% CAGR as system complexity increases.
By System Type
Feeding and feed-management systems formed the largest system category at USD 492 million, or 30.0% share. Automated pellet and pneumatic dispensers provide the volume base, while AI feed optimization will grow at 12.5% as operators seek tighter feed-conversion control. CageEye’s hydrophone-based appetite detection and Aquabyte’s vision-based feeding tools address different operating conditions. Feed is a recurring production cost, so avoiding waste can move the investment case more quickly than a generic automation benefit.
Water-quality monitoring generated USD 426 million, or 26.0% share, and remains the baseline technology layer across farm types. Fish behavior and biomass monitoring will grow fastest among the major system categories at 11.8%, driven by computer vision, acoustic sensing, and AI disease detection. Environmental control and automation contributed USD 361 million and will expand at 9.5% as RAS operators automate oxygenation, filtration, circulation, and treatment. Traceability, harvest automation, and waste management form the remaining USD 115 million category.
By Farm Type
Cage aquaculture held 38.0% of 2025 revenue, or USD 623 million, because salmon and other finfish operators require feeding, inspection, and environmental monitoring across dispersed sites. Offshore marine cages will grow at 9.5%, supported by the higher monitoring intensity required in exposed environments. Pond aquaculture generated USD 459 million, or 28.0% share, and lined ponds and biofloc systems will expand at 10.0% as shrimp operators pursue tighter water-quality and disease control.
RAS represented USD 443 million, or 27.0% share, and will grow at 11.0%. Marine and saltwater RAS will lead at 11.5% because premium-species facilities depend on continuous environmental control. Closed-loop facilities convert water treatment, oxygenation, biomass tracking, and energy management into an interconnected control problem. Raceway, shellfish long-line, and integrated multi-trophic systems remain smaller but require more traceability and water-monitoring capability as commercial production becomes more formalized.
By Species
Finfish farming generated USD 820 million, or 50.0% share, in 2025. Salmonids remain the highest technology-intensity category, supporting AKVA Group, Aquabyte, CageEye, and ScaleAQ deployments in Norway, Chile, Canada, and Scotland. Tilapia and catfish provide larger-volume, lower-spend opportunities across Asia and Brazil. Sea bass and sea bream operations support monitoring demand in Mediterranean markets.
Shrimp and crustacean farming contributed USD 426 million and will grow at 10.5% CAGR. White-leg shrimp systems in Ecuador, Vietnam, and Indonesia create demand for water-quality, feeding, and biosecurity monitoring. Shellfish and mollusk farming remains less automated but relies on water-quality monitoring for certification. Seaweed and aquatic plants will grow at 11.5%, led by red algae and carrageenan at 12.0%.
By End User
Commercial aquaculture farms held 87.0% share, with large-scale and corporate-owned farms accounting for 52.0% and small and medium-sized farms 35.0%. Large operators buy integrated systems that combine control, monitoring, and analytics. Smaller farms increasingly adopt lower-cost IoT devices and cloud platforms because these models reduce on-site computing and specialist-staffing requirements. Research and academic institutions accounted for 8.0% of revenue, while government bodies, hatcheries, and cooperatives represented 5.0% and will grow at 10.0% CAGR.
GMI Analyst View
Segment performance will not be determined by hardware alone. Feeding systems and water-quality instruments create the installed base, but behavioral monitoring, predictive analytics, and RAS control systems convert farm data into higher-value workflows. The second-order effect is a tighter relationship between equipment selection and software compatibility, raising switching costs for successful platforms. By 2030, species-specific analytics will become a primary route into shrimp, salmonid, and RAS accounts rather than an optional feature.
Aquaculture Monitoring and Automation Systems Market Regional Analysis
North America
North America accounted for USD 312 million, or 19.0% of global revenue, in 2025 and will grow at 11.2% CAGR. The United States is the principal expansion market, supported by land-based RAS development and federal aquaculture programs administered by NOAA Fisheries. [3]NOAA Fisheries, "Aquaculture," fisheries.noaa.gov Canada remains a mature salmon-monitoring market, while Mexico offers a smaller shrimp-pond opportunity. Growth depends on RAS facilities reaching stable commercial production, making project execution an important constraint on equipment timing.
Europe
Europe generated USD 492 million, or 30.0% share, in 2025. Norway accounted for approximately 60–65% of regional revenue and anchors demand for automated feeding, cameras, ROVs, and farm-management platforms in salmon production. Regulation (EU) 2023/2842 supports electronic documentation and traceability in relevant supply chains. The United Kingdom, Spain, the Netherlands, Denmark, and Scotland add demand through salmon, Mediterranean finfish, and land-based RAS operations. Europe will grow at 8.8% CAGR, reflecting a mature installed base rather than weak technology demand.
Asia Pacific
Asia Pacific is the largest regional market at USD 639 million, or 38.9% share. The region accounted for 72% of global aquatic animal production in 2023, and China represented 56% of output. China, Vietnam, Indonesia, India, Japan, and Thailand span sharply different adoption levels, from high-technology marine systems to smallholder ponds. Vietnam and Indonesia provide the most immediate shrimp-monitoring opportunity because disease and water-quality management have a direct bearing on farm economics. The region will grow at 9.1% CAGR, generating the largest absolute revenue addition through 2035.
Latin America
Latin America generated USD 148 million, or 9.0% share. Chile’s salmon sector supports cage-monitoring and feeding technology with operating requirements similar to Nordic production. Ecuador’s shrimp sector and Brazil’s tilapia farms create a separate opportunity for pond monitoring, feeding automation, and biosecurity tools. The region will grow at 10.0% CAGR as technology use broadens from export-oriented producers to larger domestic operators.
Middle East & Africa
Middle East & Africa accounted for USD 49 million, or 3.0% share, in 2025, but it is the fastest-growing region at 12.2% CAGR. Government-led aquaculture technology programs in the UAE and Saudi Arabia are expanding the market from a small base. South Africa offers a secondary operating base for water-quality and control systems. Growth depends on projects converting food-security commitments into operating farms, so deployment timing will be more variable than in mature production regions.
GMI Analyst View
Regional performance follows two different demand models. Europe and North America generate high spend per farm because salmon and RAS operations require integrated control systems. Asia Pacific and Latin America generate broader unit demand because pond and cage production scale is larger. Middle East & Africa will outpace other regions through 2035, but its small 2025 base means Asia Pacific will remain the principal source of absolute revenue growth. The winning vendor will adapt technology depth and commercial terms to each production model.
Aquaculture Monitoring and Automation Systems Market Share & Competitive Landscape
The market is highly fragmented. AKVA Group led with 6.7% share in 2025, while Pentair Aquatic Eco-Systems held 4.1%, Xylem/YSI 1.5%, Deep Trekker 1.0%, and ScaleAQ 0.9%. These five companies held 14.2% collectively. The revenue base is global demand for aquaculture-specific monitoring, automation, software, and services in 2025; private-company shares are estimates. Fragmentation persists because systems are often specified around local species, farm formats, and service networks.
AKVA Group combines sea-based technology, land-based technology, digital tools, feeding, camera, and farm-management capabilities. Pentair brings water treatment, oxygenation, UV disinfection, filtration, and recirculation capability to RAS projects. Xylem’s YSI brand supplies multiparameter water-quality instrumentation. Deep Trekker competes in ROV-based cage inspection, while ScaleAQ supplies cage, feeding, and sensor systems to Nordic and international operators. The strategic divide is widening between broad systems integrators and specialists that own a high-value data or sensing layer.
AKVA Group. AKVA Group is the market leader, with an integrated portfolio of cage technology, feeding systems, cameras, environmental monitoring, and AquaCloud software. Its breadth supports single-vendor procurement for complex salmon operations. Digital services provide a route to recurring revenue alongside established equipment sales.
Pentair Aquatic Eco-Systems. Pentair serves land-based aquaculture through water treatment, oxygenation, filtration, UV disinfection, and recirculation controls. Its RAS position aligns with the market’s 11.0% CAGR for RAS farm formats. Market-share estimates use a market-relevant portion of a broader reported business base.
Xylem/YSI. Xylem’s YSI brand provides multiparameter sondes and related water-quality instrumentation. The company benefits from measurement credibility in environmental, research, and commercial applications. Aquaculture remains a focused vertical within a broader analytics portfolio.
ScaleAQ. ScaleAQ supplies cage, mooring, feeding, and underwater monitoring equipment. Its core strength lies in Nordic cage farming, with growth potential in Chile and Canada as offshore monitoring requirements expand.
Innovasea Systems. Innovasea combines acoustic telemetry, tagging, underwater monitoring, and InnovaNET farm-management capabilities. Its integrated offering fits North American and salmonid operations that require both fish tracking and operating data.
Deep Trekker. Deep Trekker manufactures compact ROV platforms for net inspection, site surveys, and underwater condition assessment. Its differentiation depends on payload flexibility, imaging performance, and integration with farm inspection workflows.
Aquabyte. Aquabyte provides AI-enabled computer vision for lice counting, biomass estimation, and feeding optimization. Its growth profile reflects the 15.2% CAGR assigned to AI and predictive analytics software. Expansion into shrimp systems depends on adapting camera and model performance to pond conditions.
CageEye AS. CageEye uses hydrophone-based monitoring to assess fish behavior and appetite. Acoustic sensing remains valuable where turbidity or low light limits camera performance. The company holds a small share but occupies a technically distinct niche.
In-Situ Inc. In-Situ provides water-quality instruments, including multiparameter sondes for pond and RAS applications. Its position rests on professional measurement capability and service support rather than a fully integrated farm platform.
Manolin. Manolin provides health prediction, sea-lice risk forecasting, and operational benchmarking through a managed-service model. Embedding specialist analytics in a subscription helps operators that cannot build in-house data-science capability.
ReelData. ReelData develops biomass estimation, feed management, and behavioral monitoring tools for indoor RAS operations. Controlled RAS conditions can improve camera-data consistency relative to open cages, supporting a focused route to land-based aquaculture accounts.
Recent Industry Developments
Need a specific section of this report?
Purchase regional analysis, country-level analysis, company profiles, or any other segment-level insights separately
based on your research needs.
Frequently Asked Question(FAQ) :
Research methodology, data sources & validation process
This report draws on a structured research process built around direct industry conversations, proprietary modelling, and rigorous cross-validation and not just desk research.
Our 6-step research process
1. Research design & analyst oversight
At GMI, our research methodology is built on a foundation of human expertise, rigorous validation, and complete transparency. Every insight, trend analysis, and forecast in our reports is developed by experienced analysts who understand the nuances of your market.
Our approach integrates extensive primary research through direct engagement with industry participants and experts, complemented by comprehensive secondary research from verified global sources. We apply quantified impact analysis to deliver dependable forecasts, while maintaining complete traceability from original data sources to final insights.
2. Primary research
Primary research forms the backbone of our methodology, contributing nearly 80% to overall insights. It involves direct engagement with industry participants to ensure accuracy and depth in analysis. Our structured interview program covers regional and global markets, with inputs from C-suite executives, directors, and subject matter experts. These interactions provide strategic, operational, and technical perspectives, enabling well-rounded insights and reliable market forecasts.
3. Data mining & market analysis
Data mining is a key part of our research process, contributing nearly 20% to the overall methodology. It involves analysing market structure, identifying industry trends, and assessing macroeconomic factors through revenue share analysis of major players. Relevant data is collected from both paid and unpaid sources to build a reliable database. This information is then integrated to support primary research and market sizing, with validation from key stakeholders such as distributors, manufacturers, and associations.
4. Market sizing
Our market sizing is built on a bottom-up approach, starting with company revenue data gathered directly through primary interviews, alongside production volume figures from manufacturers and installation or deployment statistics. These inputs are then pieced together across regional markets to arrive at a global estimate that stays grounded in actual industry activity.
5. Forecast model & key assumptions
Every forecast includes explicit documentation of:
✓ Key growth drivers and their assumed impact
✓ Restraining factors and mitigation scenarios
✓ Regulatory assumptions and policy change risk
✓ Technology adoption curve parameter
✓ Macroeconomic assumptions (GDP growth, inflation, currency)
✓ Competitive dynamics and market entry/exit expectations
6. Validation & quality assurance
The final stages involve human validation, where domain experts manually review filtered data to identify nuances and contextual errors that automated systems might miss. This expert review adds a critical layer of quality assurance, ensuring data aligns with research objectives and domain-specific standards.
Our triple-layer validation process ensures maximum data reliability:
✓ Statistical Validation
✓ Expert Validation
✓ Market Reality Check
Trust & credibility
Verified data sources
Trade publications
Industry journals, trade publications, and specialized media.
Industry databases
Proprietary and third-party market databases
Regulatory filings
Government procurement records and policy documents
Academic research
University studies and specialist institution reports
Company reports
Annual reports, investor presentations, and filings
Expert interviews
C-suite, procurement leads, and technical specialists
GMI archive
13,000+ published studies across 20+ industry verticals
Trade data
Import/export volumes, HS codes, and customs records
Parameters studied & evaluated
Every data point in this report is validated through primary interviews, true bottom-up modelling, and rigorous cross-checks. Read about our research process →