IoT Sensors and Predictive Analytics for Precision Aquaculture Market Size and Key Players Analysis 2026 to 2035

Report Id: 3398 Pages: 170 Last Updated: 14 January 2026 Format: PDF / PPT / Excel / Power BI
Share With : linkedin twitter facebook

IoT Sensors and Predictive Analytics for Precision Aquaculture Market Segmentation:

IoT Sensors & Predictive Analytics for Precision Aquaculture Market by Component-

  • IoT Hardware
    • Water Quality Sensors (DO, pH, Temperature, Ammonia, Turbidity, Salinity)
    • Vision Systems (AI Cameras / Stereo Cameras / Biomass Sensors)
    •  Smart Feeders (IoT-enabled auto-feeders)
    • Connectivity Devices (Gateways, IoT Nodes, LoRaWAN/NB-IoT units)
  • Software & Predictive Analytics
    • Real-Time Monitoring Platforms
    •  Predictive Analytics & ML Models
    • Feeding Optimization Software
    • Disease Prediction & Welfare Analytics
    • Biomass/Growth Forecasting Software
  • Services
    •  Data Analytics-as-a-Service
    • Installation & Integration Services
    • Subscription/Monitoring Services
    •  Maintenance & Calibration Services

IoT Sensors & Predictive Analytics for Precision Aquaculture Market

IoT Sensors & Predictive Analytics for Precision Aquaculture Market by Application -

  • Water Quality Monitoring
  • Feeding Automation & Optimization
  • Fish Health & Disease Prediction
  • Biomass Estimation & Growth Forecasting
  • Farm Automation & Remote Management
  • Environmental Monitoring (Weather/Ocean Data)

IoT Sensors & Predictive Analytics for Precision Aquaculture Market by Aquaculture Environment -

  • Recirculating Aquaculture Systems (RAS)
  • Inland Ponds & Tanks
  • Coastal Cage Culture
  • Marine Open-Sea / Offshore Farms
  • Hatcheries & Nurseries

IoT Sensors & Predictive Analytics for Precision Aquaculture Market by Species -

  • Salmon
  • Shrimp
  • Tilapia
  • Catfish
  • Trout
  • Seabass & Seabream
  • Carp & Other Freshwater Species
  • Shellfish (Oyster, Mussel)
  • Others

IoT Sensors & Predictive Analytics for Precision Aquaculture Market by Connectivity Technology -

  • LoRaWAN
  • Cellular (4G/5G)
  • NB-IoT
  • Wi-Fi
  • Satellite IoT
  • Wired (RS485/Modbus)

IoT Sensors & Predictive Analytics for Precision Aquaculture Market by End User -

  • Large Industrial Farms
  • Medium Farms
  • Smallholder/Commercial Farms
  • Feed Producers (Digital Platforms)
  • Government & Research Institutes

IoT Sensors & Predictive Analytics for Precision Aquaculture Market by Region-

  • North America-
    • The US
    • Canada
  • Europe-
    • Norway
    • United Kingdom
    • Scotland (included in UK if needed)
    • Denmark
    • Iceland (optional)
    • Rest of Europe (Spain, Italy, France, Netherlands, Germany)
  • Asia-Pacific-
    • China
    • India
    • Indonesia
    • Vietnam
    • Japan
    • Australia
    • Rest of APAC (Malaysia, Thailand, Philippines, South Korea)
  • Latin America-
    • Brazil
    • Chile
    • Ecuador
    • Rest of Latin America (Peru, Colombia)
  • Middle East & Africa-
    • Egypt
    • Saudi Arabia
    • Nigeria
    • South Africa
    • Rest of MEA

Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. IoT Sensors & Predictive Analytics for Precision Aquaculture Market Snapshot

Chapter 4. IoT Sensors & Predictive Analytics for Precision Aquaculture Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends 
4.5. Investment and Funding Analysis 
4.6. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2026-2035
4.8. Global IoT Sensors & Predictive Analytics for Precision Aquaculture Market Penetration & Growth Prospect Mapping (US$ Mn), 2025-2035
4.9. Competitive Landscape & Market Share Analysis, By Key Player (2025)
4.10. Use/impact of AI on IoT Sensors & Predictive Analytics for Precision Aquaculture Industry Trends 

Chapter 5. IoT Sensors & Predictive Analytics for Precision Aquaculture Market Segmentation 1: By Component, Estimates & Trend Analysis
5.1. Market Share by Component, 2025 & 2035
5.2. Market Size (Value (US$ Mn) & Forecasts and Trend Analyses, 2022 to 2035 for the following Component:

5.2.1. IoT Hardware

5.2.1.1. Water Quality Sensors (DO, pH, Temperature, Ammonia, Turbidity, Salinity)
5.2.1.2. Vision Systems (AI Cameras / Stereo Cameras / Biomass Sensors)
5.2.1.3. Smart Feeders (IoT-enabled auto-feeders)
5.2.1.4. Connectivity Devices (Gateways, IoT Nodes, LoRaWAN/NB-IoT units)

5.2.2. Software & Predictive Analytics

5.2.2.1. Real-Time Monitoring Platforms
5.2.2.2. Predictive Analytics & ML Models
5.2.2.3. Feeding Optimization Software
5.2.2.4. Disease Prediction & Welfare Analytics
5.2.2.5. Biomass/Growth Forecasting Software

5.2.3. Services

5.2.3.1. Data Analytics-as-a-Service
5.2.3.2. Installation & Integration Services
5.2.3.3. Subscription/Monitoring Services
5.2.3.4. Maintenance & Calibration Services

Chapter 6. IoT Sensors & Predictive Analytics for Precision Aquaculture Market Segmentation 2: By Application, Estimates & Trend Analysis
6.1. Market Share by Application, 2025 & 2035
6.2. Market Size (Value (US$ Mn) & Forecasts and Trend Analyses, 2022 to 2035 for the following Application:

6.2.1. Water Quality Monitoring
6.2.2. Feeding Automation & Optimization
6.2.3. Fish Health & Disease Prediction
6.2.4. Biomass Estimation & Growth Forecasting
6.2.5. Farm Automation & Remote Management
6.2.6. Environmental Monitoring (Weather/Ocean Data)

Chapter 7. IoT Sensors & Predictive Analytics for Precision Aquaculture Market Segmentation 3: By Aquaculture Environment, Estimates & Trend Analysis
7.1. Market Share by Aquaculture Environment, 2025 & 2035
7.2. Market Size (Value (US$ Mn) & Forecasts and Trend Analyses, 2022 to 2035 for the following Aquaculture Environment:

7.2.1. Recirculating Aquaculture Systems (RAS)
7.2.2. Inland Ponds & Tanks
7.2.3. Coastal Cage Culture
7.2.4. Marine Open-Sea / Offshore Farms
7.2.5. Hatcheries & Nurseries

Chapter 8. IoT Sensors & Predictive Analytics for Precision Aquaculture Market Segmentation 4: By Species, Estimates & Trend Analysis
8.1. Market Share by Species, 2025 & 2035

8.1.1. Market Size (Value (US$ Mn) & Forecasts and Trend Analyses, 2022 to 2035 for the following Species:
8.1.2. Salmon
8.1.3. Shrimp
8.1.4. Tilapia
8.1.5. Catfish
8.1.6. Trout
8.1.7. Seabass & Seabream
8.1.8. Carp & Other Freshwater Species
8.1.9. Shellfish (Oyster, Mussel)
8.1.10. Others

Chapter 9. IoT Sensors & Predictive Analytics for Precision Aquaculture Market Segmentation 5: By Connectivity Technology, Estimates & Trend Analysis
9.1. Market Share by Connectivity Technology, 2025 & 2035

9.1.1. Market Size (Value (US$ Mn) & Forecasts and Trend Analyses, 2022 to 2035 for the following Connectivity Technology:
9.1.2. LoRaWAN
9.1.3. Cellular (4G/5G)
9.1.4. NB-IoT
9.1.5. Wi-Fi
9.1.6. Satellite IoT
9.1.7. Wired (RS485/Modbus)  

Chapter 10. IoT Sensors & Predictive Analytics for Precision Aquaculture Market Segmentation 6: By End-user, Estimates & Trend Analysis
10.1. Market Share by End-user, 2025 & 2035

10.1.1. Market Size (Value (US$ Mn) & Forecasts and Trend Analyses, 2022 to 2035 for the following End-user:
10.1.2. Large Industrial Farms
10.1.3. Medium Farms
10.1.4. Smallholder/Commercial Farms
10.1.5. Feed Producers (Digital Platforms)
10.1.6. Government & Research Institutes

Chapter 11.  IoT Sensors & Predictive Analytics for Precision Aquaculture Market Segmentation 7: Regional Estimates & Trend Analysis
11.1. Global IoT Sensors & Predictive Analytics for Precision Aquaculture Market, Regional Snapshot 2025 & 2035
11.2. North America

11.2.1. North America IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by Country, 2022-2035

11.2.1.1. US
11.2.1.2. Canada

11.2.2. North America IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by Component, 2022-2035
11.2.3. North America IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by Application, 2022-2035
11.2.4. North America IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by Aquaculture Environment, 2022-2035
11.2.5. North America IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by Species, 2022-2035
11.2.6. North America IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by Connectivity Technology, 2022-2035
11.2.7. North America IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by End-user, 2022-2035

11.3. Europe

11.3.1. Europe IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by Country, 2022-2035

11.3.1.1. Norway
11.3.1.2. United Kingdom
11.3.1.3. Scotland (included in UK if needed)
11.3.1.4. Denmark
11.3.1.5. Rest of Europe

11.3.2. Europe IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by Component, 2022-2035
11.3.3. Europe IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by Application, 2022-2035
11.3.4. Europe IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by Aquaculture Environment, 2022-2035
11.3.5. Europe IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by Species, 2022-2035
11.3.6. Europe IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by Connectivity Technology, 2022-2035
11.3.7. Europe IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by Connectivity Technology, 2022-2035

11.4. Asia Pacific

11.4.1. Asia Pacific IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by Country, 2022-2035

11.4.1.1. China
11.4.1.2. India
11.4.1.3. Indonesia
11.4.1.4. Vietnam
11.4.1.5. Japan
11.4.1.6. Rest of Asia Pacific

11.4.2. Asia Pacific IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by Component, 2022-2035
11.4.3. Asia Pacific IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by Application, 2022-2035
11.4.4. Asia Pacific IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by Aquaculture Environment, 2022-2035
11.4.5. Asia Pacific IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by Species, 2022-2035
11.4.6. Asia Pacific IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by Connectivity Technology, 2022-2035
11.4.7. Asia Pacific IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by End-user, 2022-2035
11.5. Latin America

11.5.1. Latin America IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by Country, 2022-2035

11.5.1.1. Brazil
11.5.1.2. Chile
11.5.1.3. Rest of Latin America
11.5.2. Latin America IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by Component, 2022-2035
11.5.3. Latin America IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by Application, 2022-2035
11.5.4. Latin America IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by Aquaculture Environment, 2022-2035
11.5.5. Latin America IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by Species, 2022-2035
11.5.6. Latin America IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by Connectivity Technology, 2022-2035
11.5.7. Latin America IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by End-user, 2022-2035

11.6. Middle East & Africa

11.6.1. Middle East & Africa IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by Country, 2022-2035

11.6.1.1. Egypt
11.6.1.2. GCC countries
11.6.1.3. South Africa
11.6.1.4. Rest of Middle East and Africa

11.6.2. Middle East & Africa IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by Component, 2022-2035
11.6.3. Middle East & Africa IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by Application, 2022-2035
11.6.4. Middle East & Africa IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by Aquaculture Environment, 2022-2035
11.6.5. Middle East & Africa IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by Species, 2022-2035
11.6.6. Middle East & Africa IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by Connectivity Technology, 2022-2035
11.6.7. Middle East & Africa IoT Sensors & Predictive Analytics for Precision Aquaculture Market Revenue (US$ Mn) Estimates and Forecasts by End-user, 2022-2035

Chapter 12. Competitive Landscape
12.1. Major Mergers and Acquisitions/Strategic Alliances 
12.2. Company Profiles

12.2.1. AKVA Group

12.2.1.1. Business Overview
12.2.1.2. Key Component/Service 
12.2.1.3. Financial PerApplicationance
12.2.1.4. Geographical Presence
12.2.1.5. Recent Developments with Business Strategy

12.2.2. ScaleAQ
12.2.3. Innovasea Systems
12.2.4. Aquabyte
12.2.5. Eruvaka Technologies
12.2.6. TerraConnect
12.2.7. Libelium
12.2.8. Ellenex
12.2.9. XpertSea
12.2.10. CageEye
12.2.11. The Yield
12.2.12. TidalX AI
12.2.13. Manolin
12.2.14. Aquaticode
12.2.15. Observe Technologies
12.2.16. OxyGuard
12.2.17. YSI / Xylem
12.2.18. Aqualabo
12.2.19. In-Situ Inc.
12.2.20. Apprise Tech
12.2.21. Aquasend
12.2.22. Sensaway
12.2.23. NexSens Technology
12.2.24. AquaManager
12.2.25. Aquanetix
12.2.26. GoSmart
12.2.27. Aquaculture Analytics (Singapore)
12.2.28. Deep Vision
12.2.29. SmartWaterPlanet
12.2.30. OUM Technology Solutions
12.2.31. Other prominent players

Research Design and Approach

This study employed a multi-step, mixed-method research approach that integrates:

  • Secondary research
  • Primary research
  • Data triangulation
  • Hybrid top-down and bottom-up modelling
  • Forecasting and scenario analysis

This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.

Secondary Research

Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.

Sources Consulted

Secondary data for the market study was gathered from multiple credible sources, including:

  • Government databases, regulatory bodies, and public institutions
  • International organizations (WHO, OECD, IMF, World Bank, etc.)
  • Commercial and paid databases
  • Industry associations, trade publications, and technical journals
  • Company annual reports, investor presentations, press releases, and SEC filings
  • Academic research papers, patents, and scientific literature
  • Previous market research publications and syndicated reports

These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.

Secondary Research

Primary Research

Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.

Stakeholders Interviewed

Primary interviews for this study involved:

  • Manufacturers and suppliers in the market value chain
  • Distributors, channel partners, and integrators
  • End-users / customers (e.g., hospitals, labs, enterprises, consumers, etc., depending on the market)
  • Industry experts, technology specialists, consultants, and regulatory professionals
  • Senior executives (CEOs, CTOs, VPs, Directors) and product managers

Interview Process

Interviews were conducted via:

  • Structured and semi-structured questionnaires
  • Telephonic and video interactions
  • Email correspondences
  • Expert consultation sessions

Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.

Data Processing, Normalization, and Validation

All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.

The data validation process included:

  • Standardization of units (currency conversions, volume units, inflation adjustments)
  • Cross-verification of data points across multiple secondary sources
  • Normalization of inconsistent datasets
  • Identification and resolution of data gaps
  • Outlier detection and removal through algorithmic and manual checks
  • Plausibility and coherence checks across segments and geographies

This ensured that the dataset used for modelling was clean, robust, and reliable.

Market Size Estimation and Data Triangulation

Bottom-Up Approach

The bottom-up approach involved aggregating segment-level data, such as:

  • Company revenues
  • Product-level sales
  • Installed base/usage volumes
  • Adoption and penetration rates
  • Pricing analysis

This method was primarily used when detailed micro-level market data were available.

Bottom Up Approach

Top-Down Approach

The top-down approach used macro-level indicators:

  • Parent market benchmarks
  • Global/regional industry trends
  • Economic indicators (GDP, demographics, spending patterns)
  • Penetration and usage ratios

This approach was used for segments where granular data were limited or inconsistent.

Hybrid Triangulation Approach

To ensure accuracy, a triangulated hybrid model was used. This included:

  • Reconciling top-down and bottom-up estimates
  • Cross-checking revenues, volumes, and pricing assumptions
  • Incorporating expert insights to validate segment splits and adoption rates

This multi-angle validation yielded the final market size.

Forecasting Framework and Scenario Modelling

Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.

Forecasting Methods

  • Time-series modelling
  • S-curve and diffusion models (for emerging technologies)
  • Driver-based forecasting (GDP, disposable income, adoption rates, regulatory changes)
  • Price elasticity models
  • Market maturity and lifecycle-based projections

Scenario Analysis

Given inherent uncertainties, three scenarios were constructed:

  • Base-Case Scenario: Expected trajectory under current conditions
  • Optimistic Scenario: High adoption, favourable regulation, strong economic tailwinds
  • Conservative Scenario: Slow adoption, regulatory delays, economic constraints

Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.

Name field cannot be blank!
Email field cannot be blank!(Use email format)
Designation field cannot be blank!
Company field cannot be blank!
Contact No field cannot be blank!
Message field cannot be blank!
1798
Security Code field cannot be blank!

Frequently Asked Questions

IoT Sensors and Predictive Analytics for Precision Aquaculture Market Size is predicted to grow at a 13.6% CAGR during the forecast period for 2026 to 2035.

AKVA Group, ScaleAQ, Innovasea Systems, Aquabyte, Eruvaka Technologies, TerraConnect, Libelium, Ellenex, XpertSea, CageEye, The Yield, TidalX AI, Manolin, Aquaticode, Observe Technologies, OxyGuard, YSI / Xylem, Aqualabo, In-Situ, Apprise Tech, Aquasend, Sensaway, NexSens Technology, AquaManager, Aquanetix, GoSmart, Aquaculture Analytics (Singapore), Deep Vision, SmartWaterPlanet, OUM Technology Solutions and Others

Component, Application, Aquaculture Environment, Species, Connectivity Technology and End User are the key segments of the IoT Sensors & Predictive Analytics for Precision Aquaculture Market.

Asia Pacific Region is leading the IoT Sensors & Predictive Analytics for Precision Aquaculture Market.

Report License Selection

Determine the Appropriate License for your Report

Get Sample Report Enquiry Before Buying