Global IoT for Fisheries and Aquaculture Market

Report ID : 1303 | Published : 2022-07-08 | Pages: 150 | Format: PDF/EXCEL

The Global IoT for Fisheries and Aquaculture Market is estimated to reach over USD 1.23 billion by 2030, exhibiting a CAGR of 13.2% during the forecast period. 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.

Some of the key Players of IoT for Fisheries and Aquaculture market are 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.

  • KVA 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

Other Prominent Players

Chapter 1. Methodology and Scope

1.1. Research Methodology

1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global IoT for Fisheries and Aquaculture Market Snapshot

Chapter 4. Global IoT for Fisheries and 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. Industry Analysis – Porter’s Five Forces Analysis

4.7. Competitive Landscape & Market Share Analysis

4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: By Farm Types, Estimates & Trend Analysis

5.1. By Farm Types, & Market Share, 2020 & 2030

5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2030 for the following By Farm Types:

5.2.1. Open Aquaculture Farms

5.2.2. RAS Farms

Chapter 6. Market Segmentation 2: By Applications Estimates & Trend Analysis

6.1. By Applications & Market Share, 2020 & 2030

6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2030 for the following By Applications:

6.2.1. Feed Optimization

6.2.2. Monitoring and Surveillance

6.2.3. Yield Analysis and Measurement

6.2.4. Other Applications

Chapter 7. Market Segmentation 3: By Systems Estimates & Trend Analysis

7.1. By Systems & Market Share, 2020& 2030

7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2030 for the following By Systems:

7.2.1. Smart Feeding Systems

7.2.2. Precision-fishing technique

7.2.3. Monitoring and Control Systems

7.2.4. Smart Buoy technology

7.2.5. Metocean Data Collection

7.2.6. Underwater ROV Systems

7.2.7. Other System Type

Chapter 8. IoT for Fisheries and Aquaculture Market Segmentation 5: Regional Estimates & Trend Analysis

8.1. North America

8.1.1. North America IoT for Fisheries and Aquaculture Market revenue (US$ Million) estimates and forecasts By Farm Types, 2019-2030

8.1.2. North America IoT for Fisheries and Aquaculture Market revenue (US$ Million) estimates and forecasts By Applications, 2019-2030

8.1.3. North America IoT for Fisheries and Aquaculture Market revenue (US$ Million) estimates and forecasts By Systems, 2019-2030

8.1.4. North America IoT for Fisheries and Aquaculture Market revenue (US$ Million) estimates and forecasts by country, 2019-2030

8.2. Europe

8.2.1. Europe IoT for Fisheries and Aquaculture Market revenue (US$ Million) By Farm Types, 2019-2030

8.2.2. Europe IoT for Fisheries and Aquaculture Market revenue (US$ Million) By Applications, 2019-2030

8.2.3. Europe IoT for Fisheries and Aquaculture Market revenue (US$ Million) By Systems, 2019-2030

8.2.4. Europe IoT for Fisheries and Aquaculture Market revenue (US$ Million) by country, 2019-2030

8.3. Asia Pacific

8.3.1. Asia Pacific IoT for Fisheries and Aquaculture Market revenue (US$ Million) By Farm Types, 2019-2030

8.3.2. Asia Pacific IoT for Fisheries and Aquaculture Market revenue (US$ Million) By Applications, 2019-2030

8.3.3. Asia Pacific IoT for Fisheries and Aquaculture Market revenue (US$ Million) By Systems, 2019-2030

8.3.4. Asia Pacific IoT for Fisheries and Aquaculture Market revenue (US$ Million) by country, 2019-2030

8.4. Latin America

8.4.1. Latin America IoT for Fisheries and Aquaculture Market revenue (US$ Million) By Farm Types, (US$ Million) 2019-2030

8.4.2. Latin America IoT for Fisheries and Aquaculture Market revenue (US$ Million) By Applications, (US$ Million) 2019-2030

8.4.3. Latin America IoT for Fisheries and Aquaculture Market revenue (US$ Million) By Systems, (US$ Million) 2019-2030

8.4.4. Latin America IoT for Fisheries and Aquaculture Market revenue (US$ Million) by country, 2019-2030

8.5. Middle East & Africa

8.5.1. Middle East & Africa IoT for Fisheries and Aquaculture Market revenue (US$ Million) By Farm Types, (US$ Million) 2019-2030

8.5.2. Middle East & Africa IoT for Fisheries and Aquaculture Market revenue (US$ Million) By Applications, (US$ Million) 2019-2030

8.5.3. Middle East & Africa IoT for Fisheries and Aquaculture Market revenue (US$ Million) By Systems, (US$ Million) 2019-2030

8.5.4. Middle East & Africa IoT for Fisheries and Aquaculture Market revenue (US$ Million) by country, 2019-2030

Chapter 9. Competitive Landscape

9.1. Major Mergers and Acquisitions/Strategic Alliances

9.2. Company Profiles

9.2.1. KVA group (Norway)

9.2.2. InnovaSea Systems (US)

9.2.3. Steinsvik (ScaleAQ) (Norway)

9.2.4. Deep Trekker (Canada)

9.2.5. Aquabyte (US)

9.2.6. Eruvaka Technologies (India)

9.2.7. Akuakare (Turkey)

9.2.8. CPI Equipment (Canada)

9.2.9. Lifegard Aquatics (US)

9.2.10. Bluegrove (Norway)

9.2.11. Imenco AS (Norway)

9.2.12. In-Situ (US)

9.2.13. Signify (Netherlands)

9.2.14. Jala Tech (Indonesia)

9.2.15. Planet Lighting (Australia)

9.2.16. Maritech Systems (Norway)

9.2.17. OxyGaurd (Denmark)

9.2.18. Aquaconnect (India)

9.2.19. AquaMaof (Israel)

9.2.20. MonitorFish (Germany)

9.2.21. Observe Technologies (UK)

9.2.22. Omso Systems (US)

9.2.23. Optimar AS (Norway)

9.2.24. Sensorex (Norway)

9.2.25. Marine Instruments

9.2.26. BlueTraker

9.2.27. NEC Global

9.2.28. Libelium

9.2.29. KDDI Corporation

9.2.30. HydroNeo

9.2.31. eFishery

9.2.32. Scatri

9.2.33. ORBCOMM

9.2.34. Blue Ocean Gear

9.2.35. GO Smart

9.2.36. Satlink

9.2.37. DHI Group

9.2.38. BOC MetOcean

9.2.39. Other Prominent Players

Global IoT for Fisheries and Aquaculture Market, by Application, 2022-2030 (Value US$ Mn)

  • Feed Optimization
  • Monitoring and Surveillance
  • Yield Analysis and Measurement
  • Others

Global IoT for Fisheries and Aquaculture Market, by System Type, 2022-2030 (Value US$ Mn)

  • Smart Feeding Systems
  • Precision-fishing technique
  • Monitoring and Control Systems
  • Smart Buoy technology
  • Metocean Data Collection
  • Underwater ROV Systems
  • Other System Type

Global IoT for Fisheries and Aquaculture Market, by Farm Type, 2022-2030 (Value US$ Mn)

  • Open Aquaculture Farms
  • RAS Farms

 

Global IoT for Fisheries and Aquaculture Market, by Region, 2022-2030 (Value US$ Mn)

  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East & Africa

North America IoT for Fisheries and Aquaculture Market, by Country, 2022-2030 (Value US$ Mn)

  • U.S.
  • Canada

Europe IoT for Fisheries and Aquaculture Market, by Country, 2022-2030 (Value US$ Mn)

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

Asia Pacific IoT for Fisheries and Aquaculture Market, by Country, 2022-2030 (Value US$ Mn)

  • India
  • China
  • Japan
  • South Korea
  • Australia & New Zealand

Latin America IoT for Fisheries and Aquaculture Market, by Country, 2022-2030 (Value US$ Mn)

  • Brazil
  • Mexico
  • Rest of Latin America

Middle East & Africa IoT for Fisheries and Aquaculture Market, by Country, 2022-2030 (Value US$ Mn)

  • GCC Countries
  • South Africa

Rest of Middle East & Africa

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

To know more about the research methodology used for this study, kindly contact us/click here.

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CAGR of 13.2% during the forecast period

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