IoT for Fisheries and Aquaculture Market is valued at 358.87 Million in 2024 and is predicted to reach 1258.99 Million by the year 2034 at a 13.5% CAGR during the forecast period for 2025-2034.
Aquaculture has seen several technical revolutions in recent years. The Internet of Things (IoT) is such a revolution enabling significant technical advancements in fish farming. In IoT for Fisheries and Aquaculture, control engineering principles are used to improve fish production. IoT for Fisheries and Aquaculture also enhance the farmer's ability to monitor, manage and analyze the biological processes in the fish farms. IoT for Fisheries and Aquaculture is a knowledge-based production system for fish farmers. For effective aquaculture operations and more environmentally friendly, businesses are utilizing or developing technologies that collect data from smart sensors and satellites that can be processed using various cloud-based analytical software tools, including artificial intelligence. Several parameters, including environmental factors, production factors like water quality, and biotic factors, can be continuously monitored with the help of an IoT platform to avoid yield losses and boost efficiency.
The growth of the IoT for Fisheries and Aquaculture market can be driven by the factors such as the increasing number of aquaculture farms, rising investments in R&D, and comprehensive innovation of products. Moreover, the fast adoption of advanced technologies, high demand for protein-rich aqua food, and increasing government support for infrastructure development in aquaculture is further expected to show significant opportunities during the forecast period. In 2020, Innovasea Systems debuted the V3 acoustic telemetry transmitters, the smallest in the company's industry-leading lineup of fish tracking tags. It enables researchers and scientists to study smaller and larger fish species at different stages of their lifecycle. The growing installation of aquaculture equipment in fish farms around the world, the increasing prevalence of recirculation aquaculture system (RAS)-based aquaculture farming and the rapid adoption of underwater ROVs in developing nations are the major factors driving the market growth.
However, complex system procedures, high cost for aquaculture farms monitoring, the requirement of huge capital expenditure, lack of skilled operators, and poor knowledge of advanced technologies among the farmers may hinder the growth of the IoT for the Fisheries and Aquaculture market.
The IoT for Fisheries and Aquaculture market is segmented into Applications, System type and Farm Type. In the case of applications, the market can be divided into Feed Optimization, Monitoring and Surveillance, Yield Analysis and Measurement, and Other Applications. System Type is segmented into Smart Feeding Systems, Precision-fishing techniques, Smart Buoy technology, Metocean Data Collection, Monitoring and Control Systems, Underwater ROV Systems, and Other System Type. According to Farm Type, the market is sub-segmented into Open Aquaculture Farms and RAS Farms.
Due to the rapid adoption of cutting-edge technologies and the expanding aquaculture industry, the Asia-Pacific market is estimated to dominate during the forecast period. Japan, China, India, Indonesia, and China are the major countries in this region.
| Report Attribute | Specifications |
| Market Size Value In 2024 | USD 358.87 Million |
| Revenue Forecast In 2034 | USD 1258.99 Million |
| Growth Rate CAGR | CAGR of 13.5% from 2025 to 2034 |
| Quantitative Units | Representation of revenue in US$ Billion and CAGR from 2025 to 2034 |
| Historic Year | 2021 to 2024 |
| Forecast Year | 2025-2034 |
| Report Coverage | The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
| Segments Covered | By Application, By System Type, By Farm Type |
| Regional Scope | North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
| Country Scope | U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico ;The UK; France; Italy; Spain; South Korea; South East Asia |
| Competitive Landscape | AKVA group (Norway), InnovaSea Systems (US), Steinsvik (ScaleAQ) (Norway), Deep Trekker (Canada), Aquabyte (US), Eruvaka Technologies (India), Akuakare (Turkey), CPI Equipment (Canada), Lifegard Aquatics (US), Bluegrove (Norway), Imenco AS (Norway), In-Situ (US), Signify (Netherlands), Jala Tech (Indonesia), Planet Lighting (Australia), Maritech Systems (Norway), OxyGaurd (Denmark), Aquaconnect (India), AquaMaof (Israel), MonitorFish (Germany), Observe Technologies (UK), Omso Systems (US), Optimar AS (Norway), Sensorex (Norway), Marine Instruments, BlueTraker, NEC Global, Libelium, KDDI Corporation, HydroNeo, eFishery, Scatri, ORBCOMM, Blue Ocean Gear, GO Smart, Satlink, DHI Group, BOC MetOcean and Other Prominent Players |
| Customization Scope | Free customization report with the procurement of the report, Modifications to the regional and segment scope. Particular Geographic competitive landscape. |
| Pricing And Available Payment Methods | Explore pricing alternatives that are customized to your particular study requirements. |
Global IoT for Fisheries and Aquaculture Market, by Application
Global IoT for Fisheries and Aquaculture Market, by System Type
Global IoT for Fisheries and Aquaculture Market, by Farm Type
Global IoT for Fisheries and Aquaculture Market, by Region
North America IoT for Fisheries and Aquaculture Market, by Country
Europe IoT for Fisheries and Aquaculture Market, by Country
Asia Pacific IoT for Fisheries and Aquaculture Market, by Country
Latin America IoT for Fisheries and Aquaculture Market, by Country
Middle East & Africa IoT for Fisheries and Aquaculture Market, by Country
Rest of Middle East & Africa
This study employed a multi-step, mixed-method research approach that integrates:
This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.
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.
Secondary data for the market study was gathered from multiple credible sources, including:
These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.
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.
Primary interviews for this study involved:
Interviews were conducted via:
Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.
All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.
The data validation process included:
This ensured that the dataset used for modelling was clean, robust, and reliable.
The bottom-up approach involved aggregating segment-level data, such as:
This method was primarily used when detailed micro-level market data were available.
The top-down approach used macro-level indicators:
This approach was used for segments where granular data were limited or inconsistent.
To ensure accuracy, a triangulated hybrid model was used. This included:
This multi-angle validation yielded the final market size.
Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.
Given inherent uncertainties, three scenarios were constructed:
Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.