Global Leading Market Research Publisher QYResearch announces the release of its latest report “IoT-Based Aquaculture System – Global Market Share and Ranking, Overall Sales and Demand Forecast 2026-2032”. Based on current situation and impact historical analysis (2021-2025) and forecast calculations (2026-2032), this report provides a comprehensive analysis of the global IoT-Based Aquaculture System market, including market size, share, demand, industry development status, and forecasts for the next few years.
Why are shrimp farmers, salmon producers, and tilapia operations adopting IoT-based aquaculture systems over traditional farming methods? Conventional aquaculture faces three critical challenges: water quality volatility (unmonitored fluctuations in dissolved oxygen, pH, and ammonia cause mass mortality events, with losses of 20–40% in some operations), inefficient feeding (over-feeding wastes 15–30% of feed, the largest operational cost at 40–60% of total expenses), and labor intensity (manual monitoring of ponds or cages requires 4–8 hours per day per farm). An IoT-based aquaculture system is a smart farming solution that integrates Internet of Things (IoT) technologies to monitor and manage aquatic farming environments in real time. It uses connected sensors and devices to collect data on key parameters such as water temperature, pH, dissolved oxygen, turbidity, ammonia levels, and fish activity. This data is transmitted to cloud-based platforms or local control systems, enabling automated adjustments (e.g., aeration, feeding, water exchange) and early warnings of harmful conditions. The system improves productivity (15–25% yield increase), reduces manual labor (50–70% reduction in monitoring time), and enhances sustainability and disease prevention in fish, shrimp, or shellfish farming operations.
The global market for IoT-Based Aquaculture System was estimated to be worth US$ 185 million in 2024 and is forecast to reach a readjusted size of US$ 263 million by 2031, growing at a CAGR of 5.2% during the forecast period 2025-2031.
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Product Definition: What Is an IoT-Based Aquaculture System?
An IoT-based aquaculture system is a digital farming approach that applies connected sensors, automation, and data analytics to aquatic animal production. The system architecture includes three layers: (a) sensing layer – underwater sensors measuring dissolved oxygen (DO), pH, temperature, salinity, ammonia, turbidity, and oxidation-reduction potential (ORP); cameras and acoustic sensors for biomass estimation and feeding behavior monitoring; (b) connectivity layer – LoRaWAN, NB-IoT, 4G/5G, or Wi-Fi transmitting data from ponds, cages, or raceways to cloud platforms; (c) application layer – cloud-based software with dashboards, alerts (SMS, email, in-app), automated control (turning on aerators when DO falls below threshold, activating feeders at optimal times), and analytics (trend analysis, predictive modeling for disease outbreaks). Key components include: automated feeders that dispense precise amounts of feed based on real-time appetite detection (underwater cameras or acoustic sensors), aeration control systems that activate paddlewheels or diffusers when DO drops below 4–5 mg/L, water quality management that triggers water exchange or chemical dosing, and biomass estimation using sonar or computer vision to calculate total weight without harvesting.
Market Segmentation: Component Type and Aquaculture Species
By Component Type:
- Hardware Facilities – Largest segment (60–65% of market value). Includes sensors (DO, pH, temperature, ammonia), automated feeders, aerator controllers, underwater cameras, and data loggers.
- Software Platform – Fastest-growing segment (35–40% of market, 8–10% CAGR). Includes cloud-based dashboards, mobile apps, alert systems, and analytics engines with recurring subscription fees.
By Aquaculture Species:
- Shrimp Farming – Largest segment (35–40% of market). Shrimp are highly sensitive to water quality. Leading markets: Southeast Asia (Vietnam, Thailand, Indonesia), India, Ecuador.
- Salmon and Coldwater Fish – Second-largest segment (30–35% of market). Salmon farming in net pens (Norway, Chile, Scotland, Canada, Tasmania).
- Tilapia and Freshwater Fish – Growing segment (20–25% of market). Tilapia, catfish, carp in ponds and raceways. Leading markets: China, Indonesia, Egypt, Brazil.
- Others – 5–10% of market. Includes mollusks and ornamental fish.
Key Industry Characteristics Driving Strategic Decisions (2025–2031)
1. The Economic Case: Mortality Reduction and Feed Savings
The primary ROI drivers are reduced mortality and improved feed conversion. Case study: A shrimp farm in Vietnam (100 ponds, 50 hectares) installed IoT sensors and automated aerator controls. Over 12 months: mortality decreased from 35% to 18% (DO crashes detected within 2 minutes), feed conversion ratio (FCR) improved from 1.8 to 1.4 (automated feeding), and labor reduced from 8 workers to 3. Investment: US$45,000. Annual savings: US$120,000 feed + US$80,000 mortality reduction + US$60,000 labor = US$260,000. Payback period: 2 months.
2. Technical Challenge: Sensor Durability and Fouling
Submerged sensors face biofouling (algae, barnacles), corrosion (saltwater), and mechanical damage. Solutions include self-cleaning sensors (mechanical wipers, ultrasonic cleaning), optical sensors (non-contact measurement), encapsulated electronics (IP68 rated), and regular calibration. Premium sensors offer 12–24 month deployment life; low-cost sensors may fail within 1–3 months.
3. Industry Segmentation: Intensive vs. Extensive Aquaculture
Intensive aquaculture (RAS, high stocking density) – 60–65% of market value. Characteristics: high capital investment, high revenue per square meter, complete environmental control. IoT requirements: high-accuracy sensors, real-time control loops, integration with RAS controllers. Key players: AKVA, AquaMaof, ScaleAQ.
Extensive aquaculture (ponds, net pens, low density) – 35–40% of market value. Characteristics: lower capital investment, larger area, lower margins. IoT requirements: low-cost sensors, long battery life, cellular/LoRa connectivity. Key players: eFishery, SENECT, Umitron.
4. Recent Policy and Market Developments (2025–2026)
- FAO (September 2025): Published guidelines for digital transformation in aquaculture, recommending IoT adoption for smallholder farmers.
- China (October 2025): Announced a US$150 million subsidy program for IoT-based aquaculture equipment, covering 30–50% of hardware costs.
- Norway (November 2025): Mandated real-time DO monitoring and automated aeration for all salmon net pens >5,000 m³, effective January 2027.
- Indonesia (January 2026): Launched a national IoT platform for shrimp farming, using AI to predict disease outbreaks.
5. Exclusive Observation: AI-Powered Feeding and Disease Prediction
Advanced systems now offer computer vision-based feeding (detecting when fish stop eating, automatically stopping feeders) and disease prediction (machine learning models predicting outbreaks 5–10 days in advance). eFishery claims its AI feeder reduces feed consumption by 20–30% while maintaining growth rates. XpertSea reports 80% accuracy in predicting early mortality syndrome (EMS) in shrimp, reducing losses by 40–60%.
Key Players
MSD Animal Health, AKVA, Innovasea Systems, XpertSea, Aquabyte, Umitron, TerraConnect, eFishery, SENECT, AQ1 Systems, AquaMaof, Delfers Smart Aqua, Quadlink Technology, ScaleAQ, Aquaconnect, Regional Fish Institute, Exosite, iYo-T Technologies.
Strategic Takeaways for Aquaculture Producers, Investors, and Technology Providers
- For shrimp and fish farmers: Start with a pilot on 10–20% of ponds or cages, focusing on DO monitoring and automated aeration (fastest ROI). Add automated feeding and AI analytics once DO is under control. Investment for a 50-hectare shrimp farm: US$30,000–100,000. Expected payback: 3–12 months.
- For technology providers: Differentiate through sensor durability (12+ months in saltwater) and AI analytics (feeding optimization, disease prediction). Offer sensor-as-a-service models (monthly fee includes replacement) for price-sensitive smallholders.
- For investors: The 5.2% CAGR understates growth in the AI analytics subsegment (12–15% CAGR) and intensive aquaculture subsegment (6–7% CAGR). Target companies with durable sensor technology, proven AI analytics, recurring revenue models, and exposure to high-growth markets (Southeast Asia, China, Norway).
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