Global AI in Sustainable Fisheries and Aquaculture Market Insights Forecasts to 2033

• The Global AI in Sustainable Fisheries and Aquaculture Market Size was Valued at USD 574.2 Million in 2023
• The Market Size is Growing at a CAGR of 11.22% from 2023 to 2033
• The Worldwide AI in Sustainable Fisheries and Aquaculture Market Size is Expected to Reach USD 1,662.8 Million by 2033
• Asia Pacific is Expected to Grow the fastest during the forecast period.

The Global AI in Sustainable Fisheries and Aquaculture Market Size is Anticipated to Exceed USD 1,662.8 Million by 2033, Growing at a CAGR of 11.22% from 2023 to 2033.  There would be a lot of potential for expansion in the market by ensuring food security at the same time ensuring that it is environmentally sustainable. This forms a very sound foundation for growth in the market, considering technological innovation within the market and commitment toward sustainability.

Market Overview

AI in sustainable fisheries and aquaculture applies high technology in improving efficiency, monitoring the environment, optimizing feeding, and managing the health of fish. In this respect, the use of AI diminishes the amount of waste, regulates overfishing, and promotes sustainable productivity in fisheries and aquaculture. The AI in sustainable fisheries and aquaculture market will grow with government support for sustainable practices, increasing consumer demand for eco-friendly seafood, and advancements led by major technology players. Innovation, partnerships, and regional expansion are key strategies that allow firms to enhance productivity and sustainability in fisheries. With these factors, companies can solidify market share, especially in high-growth regions such as Asia-Pacific and Europe.

Umitron and Cermaq are innovation leaders in the AI field through monitoring systems that can improve feed efficiency and generally enhance fish welfare, particularly in intensive farming. As such, all these above factors suggest a future with AI as part of a means to achieving the goals set by regulators in sustaining industry practices, thereby opening up funding avenues for innovating technologies toward sustainable growth for all regions.

Opportunities and Trends in the AI in Sustainable Fisheries and Aquaculture Market:

Opportunities in the AI for sustainable fisheries and aquaculture market include resource optimization, environmental compliance, and traceability. AI optimizes feed management, minimizes waste, and facilitates practice aligned with global regulations on sustainably farmed aqua products. Some emerging trends relate to precision aquaculture through real-time monitoring of aquatic health and predictable disease control by way of AI, IoT and robots that are used in biosecurity. Increased investments and partnerships between AI firms, governments, and aquaculture enterprises are accelerating adoption, especially in Asia-Pacific and Latin America, where sustainable seafood demand is high. Collectively, these factors fuel significant market growth.

Challenges in the Market for the AI in Sustainable Fisheries and Aquaculture Market:

There are the implementation costs, a shortage of skilled labor for the application of AI technologies, and concerns about data security and privacy. Moreover, resistance to change from the side of traditional operators might slow down the full implementation and innovation of such concepts.

Report Coverage

This research report categorizes the global AI in sustainable fisheries and aquaculture market based on various segments and regions forecasts revenue growth and analyzes trends in each submarket. The report analyses the key growth drivers, opportunities, and challenges influencing the global AI in sustainable fisheries and aquaculture market. Recent market developments and competitive strategies such as expansion, product launch, and development, partnership, merger, and acquisition have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key market players and analyses their core competencies in each sub-segment of the global AI in sustainable fisheries and aquaculture market. 

Driving Factors

Including the growing need for sustainably produced seafood and also the increasing pressure from government regulations on the fishing sectors. Governments all over are encouraging sustainable operations through their policies and investments, where the adoption of AI-related technologies is incentivized and encouraged. Another factor includes the improvement of AI-related monitoring systems and analytics, allowing for better operating efficiency while minimizing waste to further improve market growth The need to have real-time data analytics to combat IUU fisheries also drives the investment into AI solutions.

Restraining Factors

Highly priced implementation of advanced technology; lack of inhouse experts in AI and analytics data; and persisting problems with data integrity and security that will create adoption barriers and trust among all those who will rely on the systems.  

Market Segmentation

The global AI in sustainable fisheries and aquaculture market share is classified into application, technology, and end-user.

• The feed management and optimization segment is expected to hold the largest share of the global AI in sustainable fisheries and aquaculture market during the forecast period.            

Based on application, the global AI in sustainable fisheries and aquaculture market is categorized as aquaculture monitoring and control, fish health monitoring and disease detection, feed management and optimization, water quality monitoring, stock management and yield prediction. Among these, the feed management and optimization segment is expected to hold the largest share of the global AI in sustainable fisheries and aquaculture markets during the forecast period. The feed management and optimization segment in the AI in Sustainable Fisheries and Aquaculture market is to grow significantly as it will contribute substantially to cost reduction because feed is up to 70% of aquaculture expenses. AI technologies optimize feeding efficiency by assessing the behavior of fish and the environmental conditions, thus ensuring minimum waste and sustainable usage. Investments in innovative, AI-driven solutions to meet increasing consumer demand for sustainable seafood as well as regulatory pressures, therefore making this segment a necessity in aquaculture operations.  

• The IoT and remote sensing integration segment is expected to grow at the fastest CAGR during the forecast period.     

Based on the technology, the global AI in sustainable fisheries and aquaculture market is categorized as machine learning, computer vision, IoT and remote sensing integration, robotics and autonomous systems. Among these, The IoT and remote sensing integration segment is expected to grow at the fastest CAGR during the forecast period. This growth is due to its ability to allow real-time monitoring and data collection across various operations of aquaculture, thus improving efficiency and decision-making. IoT solutions would enable the seamless integration of sensors and devices so that health, water quality, and feeding patterns of fish can be better tracked. The need for sustainability and regulatory compliance further accelerates the adoption of IoT solutions in the aquaculture sector.

• The commercial fish farms segment is expected to hold the largest share of the global AI in sustainable fisheries and aquaculture market during the forecast period.                 

Based on end-user, the global AI in sustainable fisheries and aquaculture market is categorized as commercial fish farms, small- and medium-sized aquaculture farms, and others. Among these, the commercial fish farms segment is expected to hold the largest share of the global AI in sustainable fisheries and aquaculture market during the forecast period. This segment is mainly due to the growing demand for superior production practices and higher technology adoption that contributes to making processes more sustainable and efficient. More commercially oriented farms are perhaps also better suited to undertaking more AI solutions as a region of optimization of their feeding, monitoring of fish health, and therefore more production.

Regional Segment Analysis of the Global AI in Sustainable Fisheries and Aquaculture Market

• North America (U.S., Canada, Mexico) 
• Europe (Germany, France, U.K., Italy, Spain, Rest of Europe)
• Asia Pacific (China, Japan, India, Rest of APAC)
• South America (Brazil and the Rest of South America) 
• The Middle East and Africa (UAE, South Africa, Rest of MEA)

North America is projected to hold the largest share of the global AI in sustainable fisheries and aquaculture market over the forecast period.

North America is projected to hold the largest share of the global AI in sustainable fisheries and aquaculture market over the forecast period. This can be due to the fact that the region concentrates much on the environment since the adoption of AI for sustainable fisheries and aquaculture is rising in place with advanced computer vision systems, machine learning algorithms, and robotics. Additionally, fisheries in the region center themselves on the production of AI in sustainable fisheries and aquaculture for sustainable solutions that are environmentally friendly. This growth is driven by the rising demand for AI technology components across industries and the wider acceptance of AI in sustainable fisheries and aquaculture in the region as a means of production in quality products.  

Asia Pacific is expected to grow at the fastest CAGR growth of the global AI in sustainable fisheries and aquaculture market during the forecast period. The region is very fast adopting technologies and has considerably invested in sustainability practices to keep up with the ongoing growing demand for seafood. Countries such as China, India, and Vietnam have also seen a rise in aquaculture dependence, as they have invested heavily in feeding their growing populations. Efforts by governments to sustain fishing and aquaculture also help, coupled with integrating AI's use to increase efficiency and productivity, so the industry is booming here. Additionally, a potentially more potent middle class in Asia demands quality seafood sourced in environmentally friendly manners, so most aquaculture companies are now investing in developing innovative AI solutions.

Competitive Analysis:

The report offers the appropriate analysis of the key organizations/companies involved within the global AI in sustainable fisheries and aquaculture market along with a comparative evaluation primarily based on their product offering, business overviews, geographic presence, enterprise strategies, segment market share, and SWOT analysis. The report also provides an elaborative analysis focusing on the current news and developments of the companies, which includes product development, innovations, joint ventures, partnerships, mergers & acquisitions, strategic alliances, and others. This allows for the evaluation of the overall competition within the market.

List of Key Companies

• AquacultureTalent
• ImpactVision
• Aquaculture Analytics
• Eruvaka Technologies
• AquaByte AI
• Deep Trekker Inc.
• IBM Corporation
• Intel Corporation
• Microsoft Corporation
• XpertSea Solutions Inc.
• Aquabyte
• Antai Technology
• Others 

Key Market Developments

• In March 2023, XpertSea announced its XpertSense technology, a sensor-based AI platform that helps shrimp farmers monitor and manage their fields.

Key Target Audience

• Market Players
• Investors
• End-users
• Government Authorities 
• Consulting And Research Firm
• Venture capitalists
• Value-Added Resellers (VARs) 

Market Segment

This study forecasts revenue at global, regional, and country levels from 2020 to 2033. Spherical Insights has segmented the global AI in sustainable fisheries and aquaculture market based on the below-mentioned segments: 

Global AI in Sustainable Fisheries and Aquaculture Market, By Application

• Aquaculture Monitoring and Control
• Fish Health Monitoring and Disease Detection
• Feed Management and Optimization
• Water Quality Monitoring
• Stock Management and Yield Prediction

Global AI in Sustainable Fisheries and Aquaculture Market, By Technology

• Machine Learning
• Computer Vision
• IoT and Remote Sensing Integration
• Robotics and Autonomous Systems

Global AI in Sustainable Fisheries and Aquaculture Market, By End-User

• Commercial Fish Farms
• Small- and Medium-sized Aquaculture Farms
• Others

Global AI in Sustainable Fisheries and Aquaculture Market, By Regional

• North America
  • US
  • Canada
  • Mexico

• Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • Russia
  • Rest of Europe

• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Rest of Asia Pacific

• South America
  • Brazil
  • Argentina
  • Rest of South America

• Middle East & Africa
  • UAE
  • Saudi Arabia
  • Qatar
  • South Africa
  • Rest of the Middle East & Africa