Artificial Intelligence (AI) In Sustainable Fisheries And Aquaculture Global Market Report 2025

The AI in sustainable fisheries and aquaculture market size has grown rapidly in recent years. It will grow from $0.69 billion in 2024 to $0.8 billion in 2025 at a compound annual growth rate (CAGR) of 15.8%. The growth during the historic period can be attributed to the rising demand for sustainable seafood, greater adoption of AI technologies in aquaculture, increasing consumer preference for eco-friendly seafood, and growing government support and regulations.

The AI in sustainable fisheries and aquaculture market size is expected to see rapid growth in the next few years. It will grow to $1.42 billion in 2029 at a compound annual growth rate (CAGR) of 15.5%. The growth in the forecast period is expected to result from heightened environmental concerns and the growing need for sustainability, increased use of real-time fish health monitoring, a rising demand for feed and resource optimization, greater integration of IoT for water quality monitoring, and urbanization driving the demand for sustainable seafood. Key trends in the forecast period include innovations in AI-powered feeding systems, the integration of AI with IoT for water monitoring, technology-driven resource optimization, advancements in machine learning for biomass estimation, and progress in robotics for farm automation.

The growing demand for sustainable seafood production is expected to drive the growth of the AI in sustainable fisheries and aquaculture market. Sustainable seafood production involves harvesting or farming seafood in ways that ensure the long-term health of marine and freshwater ecosystems, maintain stable species populations, and support the livelihoods of communities dependent on these resources. This demand is increasing due to rising awareness of overfishing and damage to marine habitats. Consumers are seeking seafood sourced through sustainable methods to help preserve ocean ecosystems. AI supports sustainable seafood efforts by optimizing fishery management, enhancing aquaculture efficiency, protecting natural habitats, and improving traceability from harvest to consumer. For example, in March 2024, data from the Department of Agriculture, Fisheries, and Forestry, collected by the Australian Bureau of Agricultural and Resource Economics, indicated that aquaculture’s contribution to seafood production value is expected to rise from 60% in 2023-24 to 64% by 2028-29, with its projected real value reaching $2.21 billion by 2028-29. This trend highlights how increasing demand for sustainable seafood is contributing to the expansion of AI in this market.

Leading companies in the AI in sustainable fisheries and aquaculture market are advancing technology by integrating AI-powered cameras for real-time monitoring and predictive analysis in fisheries. An AI camera is a smart device that leverages artificial intelligence to interpret images or videos on the spot, enabling automated functions such as object identification and environmental monitoring. For instance, in July 2024, ReelData, a Canada-based software firm, launched an AI-driven camera system for aquaculture. This system captures high-resolution video to assist with behavioral tracking, feed management, and fish health assessments, ultimately improving operational decision-making and efficiency on fish farms.

In April 2025, InnovaSea Systems Inc., a U.S.-based fisheries company, partnered with Mila to boost AI applications in aquaculture and fish tracking. The collaboration aims to create sustainable solutions for the blue economy while offering Mila students hands-on experience with real-world AI projects. Mila is a Canada-based research institute specializing in artificial intelligence innovation.

Major players in the artificial intelligence (ai) in sustainable fisheries and aquaculture market are International Business Machines Corporation, SoftBank & Aizip, Kongsberg Gruppen, Skretting, eFishery, AKVA Group, AZTI, Osmo Systems, Aquabyte, Qysea, ReelData, XpertSea Solutions Inc., Manolin, Innovasea, Aquaconnect, Seashell AI (The Fish Site), Fishtek Marine, Umitron, Tidal X, Shieldbase AI.

Asia-Pacific was the largest region in the AI in sustainable fisheries and aquaculture market in 2024. Asia Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in AI in the sustainable fisheries and aquaculture report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the AI in the sustainable fisheries and aquaculture market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Artificial Intelligence (AI) in sustainable fisheries and aquaculture refers to the use of advanced technologies such as machine learning, image processing, automation, and smart sensors to boost efficiency, support environmental sustainability, and improve decision-making in both aquaculture and wild fishery management.

The primary technologies driving artificial intelligence in sustainable fisheries and aquaculture include machine learning (ML), computer vision, Internet of Things (IoT) and remote sensing, as well as robotics and autonomous systems. Machine learning, a key component of AI, focuses on developing algorithms that allow computers to learn from data and make decisions or predictions without needing explicit programming for each task. These technologies are applied in areas such as operational monitoring and control, fish health and disease detection, optimizing feed management, assessing water quality, and managing stock with yield predictions. They are utilized by a range of users, including large commercial fish farms, small and medium-sized aquaculture farms, and others.

The artificial intelligence (ai) in sustainable fisheries and aquaculture market research report is one of a series of new reports that provides artificial intelligence (ai) in sustainable fisheries and aquaculture market statistics, including the artificial intelligence (ai) in sustainable fisheries and aquaculture industry global market size, regional shares, competitors with the artificial intelligence (ai) in sustainable fisheries and aquaculture market share, detailed artificial intelligence (ai) in sustainable fisheries and aquaculture market segments, market trends, and opportunities, and any further data you may need to thrive in the artificial intelligence (ai) in sustainable fisheries and aquaculture industry. This artificial intelligence (ai) in sustainable fisheries and aquaculture market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The AI in the sustainable fisheries and aquaculture market consists of revenues earned by entities by providing services such as fish stock monitoring and assessment, smart fishing techniques, aquaculture farm management, disease detection and prevention and sustainable feed optimization. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in the sustainable fisheries and aquaculture market also includes sales of products including fish stock monitoring tools, smart aquaculture systems, predictive analytics platforms, species identification and traceability apps and illegal fishing detection systems. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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