The AI-powered fish farming market size has grown rapidly in recent years. It will grow from $0.51 billion in 2025 to $0.58 billion in 2026 at a compound annual growth rate (CAGR) of 14.5%. The growth in the historic period can be attributed to expansion of commercial aquaculture operations, rising global seafood demand, early adoption of sensor-based monitoring, increasing pressure on fish health management, growth of data-driven farming practices.
The AI-powered fish farming market size is expected to see rapid growth in the next few years. It will grow to $1 billion in 2030 at a compound annual growth rate (CAGR) of 14.7%. The growth in the forecast period can be attributed to increasing focus on sustainable aquaculture, rising investments in smart fish farms, expansion of offshore and ras systems, growing adoption of predictive analytics in aquaculture, increasing demand for yield optimization. Major trends in the forecast period include increasing adoption of real-time water quality analytics, rising deployment of automated feeding systems, growing use of AI-based disease detection, expansion of smart aquaculture platforms, enhanced focus on resource optimization.
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Which Growth Factors Are Influencing The Expansion Of The AI-Powered Fish Farming Market?
The rising global demand for sustainable seafood production is expected to propel the growth of the AI-powered fish farming market going forward. Sustainable seafood production refers to aquaculture and fishing practices that meet current food requirements while conserving ecosystems, protecting fish stocks, and minimizing environmental impact. Sustainable seafood production is increasing due to the growing adoption of responsible fishing and aquaculture practices that reduce overfishing, protect marine ecosystems, and ensure long-term supply stability. AI-powered fish farming supports sustainable seafood production by using real-time data analytics, automation, and predictive monitoring to optimize feed efficiency, reduce waste, improve fish health, and minimize environmental impact. For instance, in March 2024, according to the data from the Department of Agriculture, Fisheries, and Forestry, an Australia-based government agency, an estimated Aquaculture's share of seafood production value is set to grow from 60% in 2023–24 to 64% by 2028–29, reflecting a rising demand for high-quality seafood, with its total real value projected at $2.21 billion by 2028–29. Therefore, the rising global demand for sustainable seafood production is driving the growth of the AI-powered fish farming market.
Which Companies Are Contributing Most To The Expansion Of The AI-Powered Fish Farming Market?
Major companies operating in the AI-powered fish farming market are Det Norske Veritas (DNV ), Cermaq Group, Biobase Technology Co. Ltd., AKVA Group ASA, Aquabyte AS, ScaleAQ AS, InnovaSea Systems Inc., Deep Trekker Inc, IMENCO AS, Aquaconnect, Bluegrove AS, CPI Equipment Inc., ReelData AI Ltd., Eruvaka Technologies Pvt. Ltd., AquaMaof Aquaculture Technologies Ltd., CageEye AS, GoSmart Technologies Ltd., Maritech Systems Ltd., OptoScale AS, SeaSmart AI Solutions, Umitron Pte. Ltd.
What Are The Most Important Trends In The AI-Powered Fish Farming Market?
Major companies operating in the AI-powered fish farming market are focusing on developing advanced solutions, such as species-specific machine learning–enabled automatic feeding systems, to improve feed efficiency, reduce input costs, and enhance overall productivity amid rising feed prices and supply chain challenges. Species-specific machine learning refers to AI algorithms that analyze real-time sensor data, fish or shrimp movement patterns, and environmental conditions to determine optimal feeding volumes and timing tailored to the behavior of different aquatic species. For instance, in March 2024, eFishery, an Indonesia-based aquaculture technology company, advanced its eFeeder AI-enabled smart feeding solution, which integrates real-time sensor-driven feed optimization, IoT connectivity for remote monitoring, and adaptive learning capabilities to dynamically adjust feeding schedules based on species activity levels. It is designed to support more efficient and scalable aquaculture operations, the solution illustrates how AI-driven feeding automation improves operational efficiency and productivity in modern fish farming systems.
How Is The AI-Powered Fish Farming Market Divided Into Segment Categories?
The AI-powered fish farming market covered in this report is segmented –
1) By Component: Hardware; Services; Software
2) By Deployment Mode: On-Premises; Cloud-Based
3) By Farm Type: Land-Based Recirculating Aquaculture Systems (RAS); Offshore Cage Systems; Open Water Fish Farms
4) By Application: Feeding Management; Water Quality Monitoring; Fish Health Monitoring; Stock And Biomass Management
5) By End-User: Small And Medium Fish Farms; Large Commercial Fish Farms; Aquaculture Research Institutes
Subsegments:
1) By Hardware: Water Quality Sensors; Underwater Cameras; Automated Feeding Systems; Environmental Monitoring Devices; Aquaculture Drones
2) By Services: System Integration And Deployment Services; Consulting And Farm Planning Services; Monitoring And Maintenance Services; Data Analytics And Optimization Services; Training And Technical Support Services
3) By Software: Feeding Optimization Software; Water Quality Monitoring Software; Fish Health And Disease Detection Software; Biomass And Stock Management Software; Predictive Analytics And Farm Management Software
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How Does The AI-Powered Fish Farming Market Vary In Performance Across Regions?
North America was the largest region in the AI-powered fish farming market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the AI-powered fish farming market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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