INDUSTRY OVERVIEW
The AI in Sustainable Fisheries and Aquaculture market is experiencing robust growth, projected to achieve a compound annual growth rate CAGR of 15.30% during the forecast period. Valued at USD150Million, the market is expected to reach USD460Million by 2033, with a year-on-year growth rate of . This upward trajectory is driven by factors such as evolving consumer preferences, technological advancements, and increased investment in innovation, positioning the market for significant expansion in the coming years. Companies should strategically focus on enhancing their offerings and exploring new market opportunities to capitalize on this growth potential.
AI in Sustainable Fisheries and Aquaculture Market Size in (USD Million) CAGR Growth Rate 15.30%
Study Period |
2020-2033 |
Market Size (2025): |
USD150Million |
Market Size (2033): |
USD460Million |
CAGR (2025 - 2033): |
15.30% |
Fastest Growing Region |
Latin America |
Dominating Region |
Asia-Pacific |
www.htfmarketinsights.com
AI in sustainable aquaculture uses intelligent systems to monitor fish health, feeding, and environmental parameters. It promotes efficiency and reduces ecological impact. The field is growing due to food security concerns and ESG goals.
Regulatory Landscape
- Increasing regulatory focus on sustainable fishing practices and traceability, including EU regulations and US NOAA policies, mandates transparency in fish sourcing, pushing AI adoption for compliance and environmental monitoring.
Regulatory Framework
The Information and Communications Technology (ICT) industry is primarily regulated by the Federal Communications Commission (FCC) in the United States, along with other national and international regulatory bodies. The FCC oversees the allocation of spectrum, ensures compliance with telecommunications laws, and fosters fair competition within the sector. It also establishes guidelines for data privacy, cybersecurity, and service accessibility, which are crucial for maintaining industry standards and protecting consumer interests.
Globally, various regulatory agencies, such as the European Telecommunications Standards Institute (ETSI) and the International Telecommunication Union (ITU), play significant roles in standardizing practices and facilitating international cooperation. These bodies work together to create a cohesive regulatory framework that addresses emerging technologies, cross-border data flow, and infrastructure development. Their regulations aim to ensure the ICT industry's growth is both innovative and compliant with global standards, promoting a secure and competitive market environment.
Request for Customization
Get Customization
Key Highlights
• The AI in Sustainable Fisheries and Aquaculture is growing at a CAGR of 15.30% during the forecasted period of 2020 to 2033
• Year on Year growth for the market is
• Based on type, the market is bifurcated into Predictive analytics,IoT with AI,Computer vision,Machine learning
• Based on application, the market is segmented into Fish feeding,Disease detection,Stock management,Water quality,Traceability
• Global Import Export in terms of K Tons, K Units, and Metric Tons will be provided if Applicable based on industry best practice
Market Segmentation Analysis
Segmentation by Type
- Predictive analytics
- IoT with AI
- Computer vision
- Machine learning
AI in Sustainable Fisheries and Aquaculture Market Segmentation by Type
www.htfmarketinsights.com
Segmentation by Application
- Fish feeding
- Disease detection
- Stock management
- Water quality
- Traceability
AI in Sustainable Fisheries and Aquaculture Market Segmentation by Application
www.htfmarketinsights.com
Key Players
Several key players in the AI in Sustainable Fisheries and Aquaculture market are strategically focusing on expanding their operations in developing regions to capture a larger market share, particularly as the year-on-year growth rate for the market stands at . The companies featured in this profile were selected based on insights from primary experts, evaluating their market penetration, product offerings, and geographical reach. By targeting emerging markets, these companies aim to leverage new opportunities, enhance their competitive advantage, and drive revenue growth. This approach not only aligns with their overall business objectives but also positions them to respond effectively to the evolving demands of consumers in these regions.
- XpertSea, Aquabyte, eFishery, IBM, Aquanetix, Google AI, Microsoft, OceanMind, Innovasea, Marine Instruments, Umitron, Aquaconnect, Sensaway, Cognizant, Intellisense, Aquaai, Pelagic Data, FAI Farms, Manolin, OpenAI, Intel
{PLAYERS_PIE_GRAPH}
Research Methodology
At HTF Market Intelligence, we pride ourselves on delivering comprehensive market research that combines both secondary and primary methodologies. Our secondary research involves rigorous analysis of existing data sources, such as industry reports, market databases, and competitive landscapes, to provide a robust foundation of market knowledge. This is complemented by our primary research services, where we gather firsthand data through surveys, interviews, and focus groups tailored specifically to your business needs. By integrating these approaches, we offer a thorough understanding of market trends, consumer behavior, and competitive dynamics, enabling you to make well-informed strategic decisions. We would welcome the opportunity to discuss how our research expertise can support your business objectives.
Market Dynamics
Market dynamics refer to the forces that influence the supply and demand of products and services within a market. These forces include factors such as consumer preferences, technological advancements, regulatory changes, economic conditions, and competitive actions. Understanding market dynamics is crucial for businesses as it helps them anticipate changes, identify opportunities, and mitigate risks.
By analyzing market dynamics, companies can better understand market trends, predict potential shifts, and develop strategic responses. This analysis enables businesses to align their product offerings, pricing strategies, and marketing efforts with evolving market conditions, ultimately leading to more informed decision-making and a stronger competitive position in the marketplace.
Market Driver
- Overfishing Concerns
- Food Security
- Profitability
- Sustainability Mandates
Market Trend
- Precision aquaculture
- Autonomous monitoring
- AI+IoT platforms
- Satellite integration
Opportunity
- Blue Economy Growth
- Smart Fisheries
- Public-private R&D
- AI Incubation
Challenge
- High Tech Cost
- Data Scarcity
- Infrastructure Gaps
- Skills Shortage
Regional Analysis
- Asia-Pacific dominates due to large fishing industries in China, Japan, and Southeast Asia. Europe follows with advanced sustainability regulations. North America invests heavily in AI tech for aquaculture. Africa and South America are emerging markets focusing on resource management. Government support drives adoption worldwide.
Market Entropy
- In February 2025, IBM Research launched an AI-based marine monitoring platform to optimize fish farming and ensure sustainable harvests. The platform uses satellite imaging and predictive models to assess water conditions, detect disease, and reduce overfishing in aquaculture operations.
Merger & Acquisition
- In February 2025, AquaBounty Technologies merged with XpertSea, a Canadian AI-driven aquaculture monitoring company. The deal aims to combine genetics and AI-powered monitoring to optimize sustainable seafood production, addressing environmental concerns and improving yield.
Regulatory Landscape
- Increasing regulatory focus on sustainable fishing practices and traceability, including EU regulations and US NOAA policies, mandates transparency in fish sourcing, pushing AI adoption for compliance and environmental monitoring.
Patent Analysis
- Patent filings center on AI algorithms for fish population monitoring, water quality sensors, and automated feeding systems. Collaborations between tech firms and universities increase innovation. Patent grants have grown significantly since 2021.
Investment and Funding Scenario
- Investment flows from environmental impact funds and agri-tech venture capitalists. Governments fund pilot projects. Private sector interest rises as sustainability drives market demand. M&A activity includes tech startups and fisheries firms.
Regional Outlook
The Asia-Pacific Region holds the largest market share in 2025 and is expected to grow at a good CAGR. The Latin America Region is the fastest-growing region due to increasing development and disposable income.
North America remains a leader, driven by innovation hubs like Silicon Valley and a strong demand for advanced technologies such as AI and cloud computing. Europe is characterized by robust regulatory frameworks and significant investments in digital transformation across sectors. Asia-Pacific is experiencing rapid growth, led by major markets like China and India, where increasing digital adoption and governmental initiatives are propelling ICT advancements.
The Middle East and Africa are witnessing steady expansion, driven by infrastructure development and growing internet penetration. Latin America and South America present emerging opportunities, with rising investments in digital infrastructure, though challenges like economic instability can impact growth. These regional differences highlight the need for tailored strategies in the global ICT market.
Regions
- North America
- LATAM
- West Europe
- Central & Eastern Europe
- Northern Europe
- Southern Europe
- East Asia
- Southeast Asia
- South Asia
- Central Asia
- Oceania
- MEA
Fastest Growing Region
Latin America
Dominating Region
Asia-Pacific

Report Features
|
Details
|
Base Year
|
2025
|
Based Year Market Size (2025)
|
USD150Million
|
Historical Period Market Size (2020)
|
USD90Million
|
CAGR (2025 to 2033)
|
15.30%
|
Forecast Period
|
2025 to 2033
|
Forecasted Period Market Size (2033)
|
USD460Million
|
Scope of the Report
|
Predictive analytics,IoT with AI,Computer vision,Machine learning, Fish feeding,Disease detection,Stock management,Water quality,Traceability
|
Regions Covered
|
North America, Europe, Asia Pacific, South America, and MEA
|
Year on Year Growth
|
|
Companies Covered
|
XpertSea, Aquabyte, eFishery, IBM, Aquanetix, Google AI, Microsoft, OceanMind, Innovasea, Marine Instruments, Umitron, Aquaconnect, Sensaway, Cognizant, Intellisense, Aquaai, Pelagic Data, FAI Farms, Manolin, OpenAI, Intel
|
Customization Scope
|
15% Free Customization (For EG)
|
Delivery Format
|
PDF and Excel through Email
|
AI in Sustainable Fisheries and Aquaculture - Table of Contents
Chapter 1: Market Preface
- 1.1 Global AI in Sustainable Fisheries and Aquaculture Market Landscape
- 1.2 Scope of the Study
- 1.3 Relevant Findings & Stakeholder Advantages
Chapter 2: Strategic Overview
- 2.1 Global AI in Sustainable Fisheries and Aquaculture Market Outlook
- 2.2 Total Addressable Market versus Serviceable Market
- 2.3 Market Rivalry Projection
Chapter 3 : Global AI in Sustainable Fisheries and Aquaculture Market Business Environment & Changing Dynamics
-
3.1 Growth Drivers
- 3.1.1 Overfishing concerns
- 3.1.2 Food security
- 3.1.3 Profitability
- 3.1.4 Sustainability mandates
-
3.2 Available Opportunities
- 3.2.1 Blue economy growth
- 3.2.2 Smart fisheries
- 3.2.3 Public-priva
-
3.3 Influencing Trends
- 3.3.1 Precision aquaculture
- 3.3.2 Autonomous monitoring
- 3.3.3 AI+I
-
3.4 Challenges
- 3.4.1 High tech cost
- 3.4.2 Data scarcity
- 3.4.3 Infrastructure gaps
- 3.5 Regional Dynamics
Need only Qualitative Analysis? Get Prices
Sectional Purchase
Chapter 4 : Global AI in Sustainable Fisheries and Aquaculture Industry Factors Assessment
- 4.1 Current Scenario
- 4.2 PEST Analysis
- 4.3 Business Environment - PORTER 5-Forces Analysis
- 4.3.1 Supplier Leverage
- 4.3.2 Bargaining Power of Buyers
- 4.3.3 Threat of Substitutes
- 4.3.4 Threat from New Entrant
- 4.3.5 Market Competition Level
- 4.4 Roadmap of AI in Sustainable Fisheries and Aquaculture Market
- 4.5 Impact of Macro-Economic Factors
- 4.6 Market Entry Strategies
- 4.7 Political and Regulatory Landscape
- 4.8 Supply Chain Analysis
- 4.9 Impact of Tariff War
Chapter 5: AI in Sustainable Fisheries and Aquaculture : Competition Benchmarking & Performance Evaluation
- 5.1 Global AI in Sustainable Fisheries and Aquaculture Market Concentration Ratio
- 5.1.1 CR4, CR8 and HH Index
- 5.1.2 % Market Share - Top 3
- 5.1.3 Market Holding by Top 5
- 5.2 Market Position of Manufacturers by AI in Sustainable Fisheries and Aquaculture Revenue 2025
- 5.3 BCG Matrix
- 5.3 Market Entropy
- 5.4 Ansoff Matrix
- 5.5 FPNV Positioning Matrix
Chapter 6: Global AI in Sustainable Fisheries and Aquaculture Market: Company Profiles
- 6.1 XpertSea, Aquabyte, EFishery, IBM, Aquanetix, Google AI, Microsoft, OceanMind, Innovasea, Marine Instruments, Umitron, Aquaconnect, Sensaway, Cognizant, Intellisense, Aquaai, Pelagic Data, FAI Farms, Manolin, OpenAI, Intel
- 6.1.1 XpertSea, Aquabyte, EFishery, IBM, Aquanetix, Google AI, Microsoft, OceanMind, Innovasea, Marine Instruments, Umitron, Aquaconnect, Sensaway, Cognizant, Intellisense, Aquaai, Pelagic Data, FAI Farms, Manolin, OpenAI, Intel Company Overview
- 6.1.2 XpertSea, Aquabyte, EFishery, IBM, Aquanetix, Google AI, Microsoft, OceanMind, Innovasea, Marine Instruments, Umitron, Aquaconnect, Sensaway, Cognizant, Intellisense, Aquaai, Pelagic Data, FAI Farms, Manolin, OpenAI, Intel Product/Service Portfolio & Specifications
- 6.1.3 XpertSea, Aquabyte, EFishery, IBM, Aquanetix, Google AI, Microsoft, OceanMind, Innovasea, Marine Instruments, Umitron, Aquaconnect, Sensaway, Cognizant, Intellisense, Aquaai, Pelagic Data, FAI Farms, Manolin, OpenAI, Intel Key Financial Metrics
- 6.1.4 XpertSea, Aquabyte, EFishery, IBM, Aquanetix, Google AI, Microsoft, OceanMind, Innovasea, Marine Instruments, Umitron, Aquaconnect, Sensaway, Cognizant, Intellisense, Aquaai, Pelagic Data, FAI Farms, Manolin, OpenAI, Intel SWOT Analysis
- 6.1.5 XpertSea, Aquabyte, EFishery, IBM, Aquanetix, Google AI, Microsoft, OceanMind, Innovasea, Marine Instruments, Umitron, Aquaconnect, Sensaway, Cognizant, Intellisense, Aquaai, Pelagic Data, FAI Farms, Manolin, OpenAI, Intel Development Activities
To View a Complete List of Players? Inquiry Now
Sectional Purchase
Chapter 7 : Global AI in Sustainable Fisheries and Aquaculture by Type & Application (2020-2033)
-
7.1 Global AI in Sustainable Fisheries and Aquaculture Market Revenue Analysis (USD Million) by Type (2020-2025)
- 7.1.1 Predictive Analytics
- 7.1.2 IoT With AI
- 7.1.3 Computer Vision
- 7.1.4 Machine Learning
- 7.1.5 Robotics
-
7.2 Global AI in Sustainable Fisheries and Aquaculture Market Revenue Analysis (USD Million) by Application (2020-2025)
- 7.2.1 Fish Feeding
- 7.2.2 Disease Detection
- 7.2.3 Stock Management
- 7.2.4 Water Quality
- 7.2.5 Traceability
-
7.3 Global AI in Sustainable Fisheries and Aquaculture Market Revenue Analysis (USD Million) by Type (2025-2033)
-
7.4 Global AI in Sustainable Fisheries and Aquaculture Market Revenue Analysis (USD Million) by Application (2025-2033)
Chapter 8 : North America AI in Sustainable Fisheries and Aquaculture Market Breakdown by Country, Type & Application
- 8.1 North America AI in Sustainable Fisheries and Aquaculture Market by Country (USD Million) [2020-2025]
- 8.1.1 United States
- 8.1.2 Canada
-
8.2 North America AI in Sustainable Fisheries and Aquaculture Market by Type (USD Million) [2020-2025]
- 8.2.1 Predictive Analytics
- 8.2.2 IoT With AI
- 8.2.3 Computer Vision
- 8.2.4 Machine Learning
- 8.2.5 Robotics
-
8.3 North America AI in Sustainable Fisheries and Aquaculture Market by Application (USD Million) [2020-2025]
- 8.3.1 Fish Feeding
- 8.3.2 Disease Detection
- 8.3.3 Stock Management
- 8.3.4 Water Quality
- 8.3.5 Traceability
- 8.4 North America AI in Sustainable Fisheries and Aquaculture Market by Country (USD Million) [2026-2033]
-
8.5 North America AI in Sustainable Fisheries and Aquaculture Market by Type (USD Million) [2026-2033]
-
8.6 North America AI in Sustainable Fisheries and Aquaculture Market by Application (USD Million) [2026-2033]
Looking for Section Purchase? Get Quote Now
Sectional Purchase
Chapter 9 : LATAM AI in Sustainable Fisheries and Aquaculture Market Breakdown by Country, Type & Application
- 9.1 LATAM AI in Sustainable Fisheries and Aquaculture Market by Country (USD Million) [2020-2025]
- 9.1.1 Brazil
- 9.1.2 Argentina
- 9.1.3 Chile
- 9.1.4 Mexico
- 9.1.5 Rest of LATAM
-
9.2 LATAM AI in Sustainable Fisheries and Aquaculture Market by Type (USD Million) [2020-2025]
- 9.2.1 Predictive Analytics
- 9.2.2 IoT With AI
- 9.2.3 Computer Vision
- 9.2.4 Machine Learning
- 9.2.5 Robotics
-
9.3 LATAM AI in Sustainable Fisheries and Aquaculture Market by Application (USD Million) [2020-2025]
- 9.3.1 Fish Feeding
- 9.3.2 Disease Detection
- 9.3.3 Stock Management
- 9.3.4 Water Quality
- 9.3.5 Traceability
- 9.4 LATAM AI in Sustainable Fisheries and Aquaculture Market by Country (USD Million) [2026-2033]
-
9.5 LATAM AI in Sustainable Fisheries and Aquaculture Market by Type (USD Million) [2026-2033]
-
9.6 LATAM AI in Sustainable Fisheries and Aquaculture Market by Application (USD Million) [2026-2033]
Chapter 10 : West Europe AI in Sustainable Fisheries and Aquaculture Market Breakdown by Country, Type & Application
- 10.1 West Europe AI in Sustainable Fisheries and Aquaculture Market by Country (USD Million) [2020-2025]
- 10.1.1 Germany
- 10.1.2 France
- 10.1.3 Benelux
- 10.1.4 Switzerland
- 10.1.5 Rest of West Europe
-
10.2 West Europe AI in Sustainable Fisheries and Aquaculture Market by Type (USD Million) [2020-2025]
- 10.2.1 Predictive Analytics
- 10.2.2 IoT With AI
- 10.2.3 Computer Vision
- 10.2.4 Machine Learning
- 10.2.5 Robotics
-
10.3 West Europe AI in Sustainable Fisheries and Aquaculture Market by Application (USD Million) [2020-2025]
- 10.3.1 Fish Feeding
- 10.3.2 Disease Detection
- 10.3.3 Stock Management
- 10.3.4 Water Quality
- 10.3.5 Traceability
- 10.4 West Europe AI in Sustainable Fisheries and Aquaculture Market by Country (USD Million) [2026-2033]
-
10.5 West Europe AI in Sustainable Fisheries and Aquaculture Market by Type (USD Million) [2026-2033]
-
10.6 West Europe AI in Sustainable Fisheries and Aquaculture Market by Application (USD Million) [2026-2033]
Chapter 11 : Central & Eastern Europe AI in Sustainable Fisheries and Aquaculture Market Breakdown by Country, Type & Application
- 11.1 Central & Eastern Europe AI in Sustainable Fisheries and Aquaculture Market by Country (USD Million) [2020-2025]
- 11.1.1 Bulgaria
- 11.1.2 Poland
- 11.1.3 Hungary
- 11.1.4 Romania
- 11.1.5 Rest of CEE
-
11.2 Central & Eastern Europe AI in Sustainable Fisheries and Aquaculture Market by Type (USD Million) [2020-2025]
- 11.2.1 Predictive Analytics
- 11.2.2 IoT With AI
- 11.2.3 Computer Vision
- 11.2.4 Machine Learning
- 11.2.5 Robotics
-
11.3 Central & Eastern Europe AI in Sustainable Fisheries and Aquaculture Market by Application (USD Million) [2020-2025]
- 11.3.1 Fish Feeding
- 11.3.2 Disease Detection
- 11.3.3 Stock Management
- 11.3.4 Water Quality
- 11.3.5 Traceability
- 11.4 Central & Eastern Europe AI in Sustainable Fisheries and Aquaculture Market by Country (USD Million) [2026-2033]
-
11.5 Central & Eastern Europe AI in Sustainable Fisheries and Aquaculture Market by Type (USD Million) [2026-2033]
-
11.6 Central & Eastern Europe AI in Sustainable Fisheries and Aquaculture Market by Application (USD Million) [2026-2033]
Chapter 12 : Northern Europe AI in Sustainable Fisheries and Aquaculture Market Breakdown by Country, Type & Application
- 12.1 Northern Europe AI in Sustainable Fisheries and Aquaculture Market by Country (USD Million) [2020-2025]
- 12.1.1 The United Kingdom
- 12.1.2 Sweden
- 12.1.3 Norway
- 12.1.4 Baltics
- 12.1.5 Ireland
- 12.1.6 Rest of Northern Europe
-
12.2 Northern Europe AI in Sustainable Fisheries and Aquaculture Market by Type (USD Million) [2020-2025]
- 12.2.1 Predictive Analytics
- 12.2.2 IoT With AI
- 12.2.3 Computer Vision
- 12.2.4 Machine Learning
- 12.2.5 Robotics
-
12.3 Northern Europe AI in Sustainable Fisheries and Aquaculture Market by Application (USD Million) [2020-2025]
- 12.3.1 Fish Feeding
- 12.3.2 Disease Detection
- 12.3.3 Stock Management
- 12.3.4 Water Quality
- 12.3.5 Traceability
- 12.4 Northern Europe AI in Sustainable Fisheries and Aquaculture Market by Country (USD Million) [2026-2033]
-
12.5 Northern Europe AI in Sustainable Fisheries and Aquaculture Market by Type (USD Million) [2026-2033]
-
12.6 Northern Europe AI in Sustainable Fisheries and Aquaculture Market by Application (USD Million) [2026-2033]
Chapter 13 : Southern Europe AI in Sustainable Fisheries and Aquaculture Market Breakdown by Country, Type & Application
- 13.1 Southern Europe AI in Sustainable Fisheries and Aquaculture Market by Country (USD Million) [2020-2025]
- 13.1.1 Spain
- 13.1.2 Italy
- 13.1.3 Portugal
- 13.1.4 Greece
- 13.1.5 Rest of Southern Europe
-
13.2 Southern Europe AI in Sustainable Fisheries and Aquaculture Market by Type (USD Million) [2020-2025]
- 13.2.1 Predictive Analytics
- 13.2.2 IoT With AI
- 13.2.3 Computer Vision
- 13.2.4 Machine Learning
- 13.2.5 Robotics
-
13.3 Southern Europe AI in Sustainable Fisheries and Aquaculture Market by Application (USD Million) [2020-2025]
- 13.3.1 Fish Feeding
- 13.3.2 Disease Detection
- 13.3.3 Stock Management
- 13.3.4 Water Quality
- 13.3.5 Traceability
- 13.4 Southern Europe AI in Sustainable Fisheries and Aquaculture Market by Country (USD Million) [2026-2033]
-
13.5 Southern Europe AI in Sustainable Fisheries and Aquaculture Market by Type (USD Million) [2026-2033]
-
13.6 Southern Europe AI in Sustainable Fisheries and Aquaculture Market by Application (USD Million) [2026-2033]
Chapter 14 : East Asia AI in Sustainable Fisheries and Aquaculture Market Breakdown by Country, Type & Application
- 14.1 East Asia AI in Sustainable Fisheries and Aquaculture Market by Country (USD Million) [2020-2025]
- 14.1.1 China
- 14.1.2 Japan
- 14.1.3 South Korea
- 14.1.4 Taiwan
- 14.1.5 Others
-
14.2 East Asia AI in Sustainable Fisheries and Aquaculture Market by Type (USD Million) [2020-2025]
- 14.2.1 Predictive Analytics
- 14.2.2 IoT With AI
- 14.2.3 Computer Vision
- 14.2.4 Machine Learning
- 14.2.5 Robotics
-
14.3 East Asia AI in Sustainable Fisheries and Aquaculture Market by Application (USD Million) [2020-2025]
- 14.3.1 Fish Feeding
- 14.3.2 Disease Detection
- 14.3.3 Stock Management
- 14.3.4 Water Quality
- 14.3.5 Traceability
- 14.4 East Asia AI in Sustainable Fisheries and Aquaculture Market by Country (USD Million) [2026-2033]
-
14.5 East Asia AI in Sustainable Fisheries and Aquaculture Market by Type (USD Million) [2026-2033]
-
14.6 East Asia AI in Sustainable Fisheries and Aquaculture Market by Application (USD Million) [2026-2033]
Chapter 15 : Southeast Asia AI in Sustainable Fisheries and Aquaculture Market Breakdown by Country, Type & Application
- 15.1 Southeast Asia AI in Sustainable Fisheries and Aquaculture Market by Country (USD Million) [2020-2025]
- 15.1.1 Vietnam
- 15.1.2 Singapore
- 15.1.3 Thailand
- 15.1.4 Malaysia
- 15.1.5 Indonesia
- 15.1.6 Philippines
- 15.1.7 Rest of SEA Countries
-
15.2 Southeast Asia AI in Sustainable Fisheries and Aquaculture Market by Type (USD Million) [2020-2025]
- 15.2.1 Predictive Analytics
- 15.2.2 IoT With AI
- 15.2.3 Computer Vision
- 15.2.4 Machine Learning
- 15.2.5 Robotics
-
15.3 Southeast Asia AI in Sustainable Fisheries and Aquaculture Market by Application (USD Million) [2020-2025]
- 15.3.1 Fish Feeding
- 15.3.2 Disease Detection
- 15.3.3 Stock Management
- 15.3.4 Water Quality
- 15.3.5 Traceability
- 15.4 Southeast Asia AI in Sustainable Fisheries and Aquaculture Market by Country (USD Million) [2026-2033]
-
15.5 Southeast Asia AI in Sustainable Fisheries and Aquaculture Market by Type (USD Million) [2026-2033]
-
15.6 Southeast Asia AI in Sustainable Fisheries and Aquaculture Market by Application (USD Million) [2026-2033]
Chapter 16 : South Asia AI in Sustainable Fisheries and Aquaculture Market Breakdown by Country, Type & Application
- 16.1 South Asia AI in Sustainable Fisheries and Aquaculture Market by Country (USD Million) [2020-2025]
- 16.1.1 India
- 16.1.2 Bangladesh
- 16.1.3 Others
-
16.2 South Asia AI in Sustainable Fisheries and Aquaculture Market by Type (USD Million) [2020-2025]
- 16.2.1 Predictive Analytics
- 16.2.2 IoT With AI
- 16.2.3 Computer Vision
- 16.2.4 Machine Learning
- 16.2.5 Robotics
-
16.3 South Asia AI in Sustainable Fisheries and Aquaculture Market by Application (USD Million) [2020-2025]
- 16.3.1 Fish Feeding
- 16.3.2 Disease Detection
- 16.3.3 Stock Management
- 16.3.4 Water Quality
- 16.3.5 Traceability
- 16.4 South Asia AI in Sustainable Fisheries and Aquaculture Market by Country (USD Million) [2026-2033]
-
16.5 South Asia AI in Sustainable Fisheries and Aquaculture Market by Type (USD Million) [2026-2033]
-
16.6 South Asia AI in Sustainable Fisheries and Aquaculture Market by Application (USD Million) [2026-2033]
Chapter 17 : Central Asia AI in Sustainable Fisheries and Aquaculture Market Breakdown by Country, Type & Application
- 17.1 Central Asia AI in Sustainable Fisheries and Aquaculture Market by Country (USD Million) [2020-2025]
- 17.1.1 Kazakhstan
- 17.1.2 Tajikistan
- 17.1.3 Others
-
17.2 Central Asia AI in Sustainable Fisheries and Aquaculture Market by Type (USD Million) [2020-2025]
- 17.2.1 Predictive Analytics
- 17.2.2 IoT With AI
- 17.2.3 Computer Vision
- 17.2.4 Machine Learning
- 17.2.5 Robotics
-
17.3 Central Asia AI in Sustainable Fisheries and Aquaculture Market by Application (USD Million) [2020-2025]
- 17.3.1 Fish Feeding
- 17.3.2 Disease Detection
- 17.3.3 Stock Management
- 17.3.4 Water Quality
- 17.3.5 Traceability
- 17.4 Central Asia AI in Sustainable Fisheries and Aquaculture Market by Country (USD Million) [2026-2033]
-
17.5 Central Asia AI in Sustainable Fisheries and Aquaculture Market by Type (USD Million) [2026-2033]
-
17.6 Central Asia AI in Sustainable Fisheries and Aquaculture Market by Application (USD Million) [2026-2033]
Chapter 18 : Oceania AI in Sustainable Fisheries and Aquaculture Market Breakdown by Country, Type & Application
- 18.1 Oceania AI in Sustainable Fisheries and Aquaculture Market by Country (USD Million) [2020-2025]
- 18.1.1 Australia
- 18.1.2 New Zealand
- 18.1.3 Others
-
18.2 Oceania AI in Sustainable Fisheries and Aquaculture Market by Type (USD Million) [2020-2025]
- 18.2.1 Predictive Analytics
- 18.2.2 IoT With AI
- 18.2.3 Computer Vision
- 18.2.4 Machine Learning
- 18.2.5 Robotics
-
18.3 Oceania AI in Sustainable Fisheries and Aquaculture Market by Application (USD Million) [2020-2025]
- 18.3.1 Fish Feeding
- 18.3.2 Disease Detection
- 18.3.3 Stock Management
- 18.3.4 Water Quality
- 18.3.5 Traceability
- 18.4 Oceania AI in Sustainable Fisheries and Aquaculture Market by Country (USD Million) [2026-2033]
-
18.5 Oceania AI in Sustainable Fisheries and Aquaculture Market by Type (USD Million) [2026-2033]
-
18.6 Oceania AI in Sustainable Fisheries and Aquaculture Market by Application (USD Million) [2026-2033]
Chapter 19 : MEA AI in Sustainable Fisheries and Aquaculture Market Breakdown by Country, Type & Application
- 19.1 MEA AI in Sustainable Fisheries and Aquaculture Market by Country (USD Million) [2020-2025]
- 19.1.1 Turkey
- 19.1.2 South Africa
- 19.1.3 Egypt
- 19.1.4 UAE
- 19.1.5 Saudi Arabia
- 19.1.6 Israel
- 19.1.7 Rest of MEA
-
19.2 MEA AI in Sustainable Fisheries and Aquaculture Market by Type (USD Million) [2020-2025]
- 19.2.1 Predictive Analytics
- 19.2.2 IoT With AI
- 19.2.3 Computer Vision
- 19.2.4 Machine Learning
- 19.2.5 Robotics
-
19.3 MEA AI in Sustainable Fisheries and Aquaculture Market by Application (USD Million) [2020-2025]
- 19.3.1 Fish Feeding
- 19.3.2 Disease Detection
- 19.3.3 Stock Management
- 19.3.4 Water Quality
- 19.3.5 Traceability
- 19.4 MEA AI in Sustainable Fisheries and Aquaculture Market by Country (USD Million) [2026-2033]
-
19.5 MEA AI in Sustainable Fisheries and Aquaculture Market by Type (USD Million) [2026-2033]
-
19.6 MEA AI in Sustainable Fisheries and Aquaculture Market by Application (USD Million) [2026-2033]
Chapter 20: Research Findings & Conclusion
- 20.1 Key Findings
- 20.2 Conclusion
Chapter 21: Methodology and Data Source
-
21.1 Research Methodology & Approach
- 21.1.1 Research Program/Design
- 21.1.2 Market Size Estimation
- 21.1.3 Market Breakdown and Data Triangulation
-
21.2 Data Source
- 21.2.1 Secondary Sources
- 21.2.2 Primary Sources
Chapter 22: Appendix & Disclaimer
- 22.1 Acronyms & bibliography
- 22.2 Disclaimer