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Global IoT Agriculture Market Strategic Research Report

Global IoT Agriculture Market Strategic Research Report
$3,500 USD
Market Research Reports
Strategic Research Report
Global IoT Agriculture Market
$20.24B2025
16.5%CAGR
2032Forecast
Market Research Reports · Global
Market Research Reports Intelligence Series

By Type: Software System, Sensing and Monitoring Systems, Fish Farming Systems, Smart Greenhouse Systems, Livestock Monitoring Systems, Automation and Control Systems Services, Others

By Application: Livestock Monitoring, Precision Crop Farming, Indoor Farming Aquaculture, Integrated Pest Management, Water Supply Management, Others

Regional Forecast: Asia Pacific, Latin America, MEA, Europe, North America

Key Players: Trimble Inc., Eruvaka Technologies, Raven Industries, Dickey John, Descartes Labs, AKVA group, InnovaSea Systems, John Deere, AgLeader Technology, Semios, Bayer, AGCO, PrecisionHawk, Hortau, Topcon Positioning Systems, Hexagon Agriculture, Pessl Instruments, CropX, Arable Labs

Region: Global
Formats: PDF, Excel, Word & PowerPoint
Base year: 2025 · forecast to 2032
Length: 134 pages
Market size 2025
$20.24B
Billion USD
Forecast CAGR
16.5%
2025-2032
Forecast 2032
$59B
Projected
Regions
5
Asia Pacific · Latin America · MEA · Europe · North America

Overview

Scope of the Report

The global IoT Agriculture market size is predicted to grow from US$ 20,240 million in 2025 to US$ 57,940 million in 2032; it is expected to grow at a CAGR of 16.5% from 2026 to 2032.

Blockchain technology's ultra-transparent ledger system keeps track of the source of the digital asset. With regard to cryptocurrencies, digital IDs, copyright and royalty protection, real estate, tax regulation and compliance, administering the Internet of Things, and other areas, the technology's security and transparency have been used effectively and over time. Its decentralized characteristic makes it more difficult to tamper with, increasing user popularity. It is a cost-effective and preferable choice due to the little human participation, the elimination of third-party verifications, better transparency, the peer-to-peer network, and simplicity of usage. Its widespread use across many industrial sectors, including BFSI, healthcare, and manufacturing, has increased its appeal.

A significant sum of money—roughly USD 50 billion—is being invested by some of the largest banks in the world, including Banco Santander, UBS, State Street Corp, Credit Suisse Group AG, Bank of New York Mellon Corp, Barclays PLC, HSBC Holdings Plc, and Deutsche Bank AG, in the creation of a blockchain-based digital cash settlement system. Thus, driving the blockchain IoT market revenue. Market CAGR for blockchain IoT is driven by the rising concern regarding IoT security. Due to the expansion of internet services, the Internet of Things technology is now widely employed. According to "The Mobile Economy 2020" by the GSM Association, 25 billion internet-connected devices will be worldwide in 2025, up from 12 billion in 2019. Additionally, the risk of cyber threats has increased due to the growing use of online services. According to a report from 2020, around 67% of businesses have experienced cybersecurity risks, and employees carry out 34% of cybercrimes. However, because of its decentralization and emphasis on peer-to-peer networks, blockchain technology will increase the security of IoT applications.

This report presents a comprehensive overview of the global IoT Agriculture market, covering market size and forecast, segmentation by product type and application, competitive landscape, leading players and regional and country-level outlook.

Segment by Type

  • Software System
  • Sensing and Monitoring Systems
  • Fish Farming Systems
  • Smart Greenhouse Systems
  • Livestock Monitoring Systems
  • Automation and Control Systems Services
  • Others

Segment by Application

  • Livestock Monitoring
  • Precision Crop Farming
  • Indoor Farming Aquaculture
  • Integrated Pest Management
  • Water Supply Management
  • Others

Who Can Use This Report?

This report is written for decision-makers who need a clear, data-backed view of the global IoT Agriculture market:

  • Manufacturers, suppliers and solution providers benchmarking their position and planning product, capacity and go-to-market strategy
  • Distributors, channel partners and end users in Livestock Monitoring, Precision Crop Farming, Indoor Farming Aquaculture evaluating demand and sourcing options
  • Investors, financial analysts and consultants assessing growth opportunities, competitive dynamics and M&A potential
  • Government agencies, industry associations and research institutions tracking industry developments and policy impact

Market snapshot

Global IoT Agriculture Market Strategic Research Report snapshot, 2025–2032

Source: Market Research Reports
Market size CAGR 16.5%
Regional growth momentum
Market share by segment
Key metrics
Base value
$20.24B
2025
Forecast
$59B
2032
CAGR
16.5%
2025–2032
Regions
5
global
Key companies
Trimble Inc.Eruvaka TechnologiesRaven IndustriesDickey JohnDescartes LabsAKVA groupInnovaSea SystemsJohn Deere
© MarketResearchReports.comDisclaimer: The actual data may vary in the final report which undergoes verification check post order confirmation.

Segments covered in this report

By Type
Software SystemSensing and Monitoring SystemsFish Farming SystemsSmart Greenhouse SystemsLivestock Monitoring SystemsAutomation and Control Systems ServicesOthers
By Application
Livestock MonitoringPrecision Crop FarmingIndoor Farming AquacultureIntegrated Pest ManagementWater Supply ManagementOthers

Table of contents

Click a chapter to expand
01Executive Summary
02Industry Overview & Forecast
  • 2.1.1 Market Definition and Scope
  • 2.1.2 Market Size and Growth Forecast
  • 2.1.3 Volume Analysis
  • 2.1.4 Segment Outlook by Type
  • 2.1.5 Segment Outlook by Application
  • 2.1.6 Regional Outlook
  • 2.1.7 Structural Developments Shaping the Forecast
  • 2.1.8 Forecast Risks and Sensitivities
03Market Segmentation by Type
  • 3.1 Market Segmentation by Type
  • 3.1.1 Market by Type Overview
  • 3.1.2 Software System
  • 3.1.3 Sensing and Monitoring Systems
  • 3.1.4 Fish Farming Systems
  • 3.1.5 Smart Greenhouse Systems
  • 3.1.6 Livestock Monitoring Systems
  • 3.1.7 Automation and Control Systems Services
  • 3.1.8 Others
  • 3.1.9 Volume Analysis
04Market Segmentation by Application
  • 4.1 Market Segmentation by Application
  • 4.1.1 Market by Application Overview
  • 4.1.2 Livestock Monitoring
  • 4.1.3 Precision Crop Farming
  • 4.1.4 Indoor Farming Aquaculture
  • 4.1.5 Integrated Pest Management
  • 4.1.6 Water Supply Management
  • 4.1.7 Others
  • 4.1.8 Volume Analysis
05Regional Market Forecast
  • Asia Pacific
  • North America
  • Europe
  • Middle East & Africa
  • Latin America
06Country-Level Market Forecast
  • 6.1 Asia Pacific
  • 6.1.1 China
  • 6.1.2 Japan
  • 6.1.3 Korea
  • 6.1.4 Southeast Asia
  • 6.1.5 India
  • 6.1.6 Australia
  • 6.1.7 Rest of Asia Pacific
  • 6.2 North America
  • 6.2.1 United States
  • 6.2.2 Canada
  • 6.2.3 Mexico
  • 6.2.4 Rest of North America
  • 6.3 Europe
  • 6.3.1 Germany
  • 6.3.2 France
  • 6.3.3 UK
  • 6.3.4 Italy
  • 6.3.5 Russia
  • 6.3.6 Rest of Europe
  • 6.4 Middle East & Africa
  • 6.4.1 Egypt
  • 6.4.2 South Africa
  • 6.4.3 Israel
  • 6.4.4 Turkey
  • 6.4.5 GCC Countries
  • 6.4.6 Rest of Middle East & Africa
  • 6.5 Latin America
  • 6.5.1 Brazil
  • 6.5.2 Rest of Latin America
07Growth Drivers & Inhibitors
  • 7.1 Growth Drivers & Inhibitors
  • 7.1.1 Section Overview
  • 7.1.2 Growth Drivers
  • 7.1.3 Growth Inhibitors
  • 7.1.4 Driver and Inhibitor Impact Assessment
  • 7.1.5 Analyst Perspective
08Key Company Profiles
  • 8.1 Trimble Inc.
  • 8.1.1 Company Overview
  • 8.1.2 Key Products & Segments
  • 8.1.3 Financial Performance (2023–2025)
  • 8.1.4 Business Strategy
  • 8.1.5 SWOT Analysis
  • 8.1.6 Strategic Implications (2026–2032)
  • 8.2 Eruvaka Technologies
  • 8.2.1 Company Overview
  • 8.2.2 Key Products & Segments
  • 8.2.3 Financial Performance (2023–2025)
  • 8.2.4 Business Strategy
  • 8.2.5 SWOT Analysis
  • 8.2.6 Strategic Implications (2026–2032)
  • 8.3 Raven Industries
  • 8.3.1 Company Overview
  • 8.3.2 Key Products & Segments
  • 8.3.3 Financial Performance (2023–2025)
  • 8.3.4 Business Strategy
  • 8.3.5 SWOT Analysis
  • 8.3.6 Strategic Implications (2026–2032)
  • 8.4 Dickey John
  • 8.4.1 Company Overview
  • 8.4.2 Key Products & Segments
  • 8.4.3 Financial Performance (2023–2025)
  • 8.4.4 Business Strategy
  • 8.4.5 SWOT Analysis
  • 8.4.6 Strategic Implications (2026–2032)
  • 8.5 Descartes Labs
  • 8.5.1 Company Overview
  • 8.5.2 Key Products & Segments
  • 8.5.3 Financial Performance (2023–2025)
  • 8.5.4 Business Strategy
  • 8.5.5 SWOT Analysis
  • 8.5.6 Strategic Implications (2026–2032)
  • 8.6 AKVA group
  • 8.6.1 Company Overview
  • 8.6.2 Key Products & Segments
  • 8.6.3 Financial Performance (2023–2025)
  • 8.6.4 Business Strategy
  • 8.6.5 SWOT Analysis
  • 8.6.6 Strategic Implications (2026–2032)
  • 8.7 InnovaSea Systems
  • 8.7.1 Company Overview
  • 8.7.2 Key Products & Segments
  • 8.7.3 Financial Performance (2023–2025)
  • 8.7.4 Business Strategy
  • 8.7.5 SWOT Analysis
  • 8.7.6 Strategic Implications (2026–2032)
  • 8.8 John Deere
  • 8.8.1 Company Overview
  • 8.8.2 Key Products & Segments
  • 8.8.3 Financial Performance (2023–2025)
  • 8.8.4 Business Strategy
  • 8.8.5 SWOT Analysis
  • 8.8.6 Strategic Implications (2026–2032)
  • 8.9 AgLeader Technology
  • 8.9.1 Company Overview
  • 8.9.2 Key Products & Segments
  • 8.9.3 Financial Performance (2023–2025)
  • 8.9.4 Business Strategy
  • 8.9.5 SWOT Analysis
  • 8.9.6 Strategic Implications (2026–2032)
  • 8.10 Semios
  • 8.10.1 Company Overview
  • 8.10.2 Key Products & Segments
  • 8.10.3 Financial Performance (2023–2025)
  • 8.10.4 Business Strategy
  • 8.10.5 SWOT Analysis
  • 8.10.6 Strategic Implications (2026–2032)
  • 8.11 Bayer
  • 8.11.1 Company Overview
  • 8.11.2 Key Products & Segments
  • 8.11.3 Financial Performance (2023–2025)
  • 8.11.4 Business Strategy
  • 8.11.5 SWOT Analysis
  • 8.11.6 Strategic Implications (2026–2032)
  • 8.12 AGCO
  • 8.12.1 Company Overview
  • 8.12.2 Key Products & Segments
  • 8.12.3 Financial Performance (2023–2025)
  • 8.12.4 Business Strategy
  • 8.12.5 SWOT Analysis
  • 8.12.6 Strategic Implications (2026–2032)
  • 8.13 PrecisionHawk
  • 8.13.1 Company Overview
  • 8.13.2 Key Products & Segments
  • 8.13.3 Financial Performance (2023–2025)
  • 8.13.4 Business Strategy
  • 8.13.5 SWOT Analysis
  • 8.13.6 Strategic Implications (2026–2032)
  • 8.14 Hortau
  • 8.14.1 Company Overview
  • 8.14.2 Key Products & Segments
  • 8.14.3 Financial Performance (2023–2025)
  • 8.14.4 Business Strategy
  • 8.14.5 SWOT Analysis
  • 8.14.6 Strategic Implications (2026–2032)
  • 8.15 Topcon Positioning Systems
  • 8.15.1 Company Overview
  • 8.15.2 Key Products & Segments
  • 8.15.3 Financial Performance (2023–2025)
  • 8.15.4 Business Strategy
  • 8.15.5 SWOT Analysis
  • 8.15.6 Strategic Implications (2026–2032)
  • 8.16 Hexagon Agriculture
  • 8.16.1 Company Overview
  • 8.16.2 Key Products & Segments
  • 8.16.3 Financial Performance (2023–2025)
  • 8.16.4 Business Strategy
  • 8.16.5 SWOT Analysis
  • 8.16.6 Strategic Implications (2026–2032)
  • 8.17 Pessl Instruments
  • 8.17.1 Company Overview
  • 8.17.2 Key Products & Segments
  • 8.17.3 Financial Performance (2023–2025)
  • 8.17.4 Business Strategy
  • 8.17.5 SWOT Analysis
  • 8.17.6 Strategic Implications (2026–2032)
  • 8.18 CropX
  • 8.18.1 Company Overview
  • 8.18.2 Key Products & Segments
  • 8.18.3 Financial Performance (2023–2025)
  • 8.18.4 Business Strategy
  • 8.18.5 SWOT Analysis
  • 8.18.6 Strategic Implications (2026–2032)
  • 8.19 Arable Labs
  • 8.19.1 Company Overview
  • 8.19.2 Key Products & Segments
  • 8.19.3 Financial Performance (2023–2025)
  • 8.19.4 Business Strategy
  • 8.19.5 SWOT Analysis
  • 8.19.6 Strategic Implications (2026–2032)
09Competitive Landscape
  • 9.1 Competitive Landscape Overview
  • 9.2 Competitive Intensity Assessment
  • 9.3 Key Player Strategies & Positioning
  • 9.4 Competitive Dynamics & Strategic Outlook
  • 9.4.1 Emerging Competitive Threats
  • 9.4.2 Consolidation vs. Fragmentation Outlook
  • 9.4.3 Competitive Response Matrix
  • 9.4.4 Strategic Recommendations, 2026–2032
10Porter's Five Forces Analysis
  • 10.1 Threat of New Entrants
  • 10.2 Bargaining Power of Buyers
  • 10.3 Bargaining Power of Suppliers
  • 10.4 Threat of Substitutes
  • 10.5 Competitive Rivalry
11PESTLE Analysis
  • 11.1 Political
  • 11.2 Economic
  • 11.3 Social and Demographic
  • 11.4 Technological
  • 11.5 Legal and Regulatory
  • 11.6 Environmental
  • 11.7 Strategic Implications of the PESTLE Assessment
12SWOT Analysis
13Future Trends & Outlook
  • 13.1 Future Trends & Outlook
  • 13.1.1 Trend Summary and Commercial Maturity Assessment
  • 13.1.2 Technology and Innovation Trends
  • 13.1.3 Long-Term Market Outlook
  • 13.1.4 Investment & M&A Activity Outlook
  • 13.1.5 Overall Outlook Assessment

Frequently asked questions

What is the current global IoT Agriculture market size?
The global IoT Agriculture market is estimated at US$ 20.24 billion in 2025 (base year) and is projected to reach US$ 57.94 billion by 2032.
What growth rate is expected for the IoT Agriculture market through 2032?
The market is expected to grow at a CAGR of 16.5% from 2026 to 2032, expanding from US$ 20.24 billion in 2025 to US$ 57.94 billion in 2032, roughly 2.9 times its base-year value.
How is IoT Agriculture defined?
Blockchain technology's ultra-transparent ledger system keeps track of the source of the digital asset. With regard to cryptocurrencies, digital IDs, copyright and royalty protection, real estate, tax regulation and compliance, administering the Internet of Things, and other areas, the technology's security and transparency have been used effectively and over time. Its decentralized characteristic makes it more difficult to tamper with, increasing user popularity.
How is the IoT Agriculture market segmented by type?
By type, the market is segmented into Software System, Sensing and Monitoring Systems, Fish Farming Systems, Smart Greenhouse Systems, Livestock Monitoring Systems, Automation and Control Systems Services and Others.
What are the key applications of IoT Agriculture?
Key applications covered include Livestock Monitoring, Precision Crop Farming, Indoor Farming Aquaculture, Integrated Pest Management, Water Supply Management and Others.
Which companies are profiled in the IoT Agriculture market report?
Key players profiled include Trimble Inc., Eruvaka Technologies, Raven Industries, Dickey John, Descartes Labs, AKVA group, InnovaSea Systems and John Deere, among 19 companies covered in total.
What geographies does the IoT Agriculture market analysis include?
The market is analysed across Asia Pacific, North America, Europe, Middle East & Africa and Latin America, with 20 country-level markets including China, Japan, United States, Canada, Germany, France, Egypt and South Africa.
What are the key demand drivers for IoT Agriculture?
Market CAGR for blockchain IoT is driven by the rising concern regarding IoT security.
Who should buy the IoT Agriculture market report?
The report is intended for manufacturers and solution providers, distributors and end users in Livestock Monitoring, Precision Crop Farming and Indoor Farming Aquaculture, investors and consultants, and government or industry bodies who need market size, segmentation, competitive and regional data for the IoT Agriculture market.
What license options are available for this report?
The report is available as a Single User License (US$ 3,500, one named user), a Site License (US$ 5,250, up to 10 users) and a Global / Corporate License (US$ 7,000, unlimited users), all delivered in PDF format.

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02
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03
Competitive Intelligence

Company profiles built from public financial disclosures, product launches, M&A activity, job postings (as capability proxies), and supply chain mapping. Market share estimates triangulated across revenue, capacity, and shipment data.

04
Demand Forecasting

CAGR projections use time-series regression on 5-10 years of historical data, adjusted for identified demand drivers (technology adoption curves, regulatory catalysts, demographic shifts) and demand inhibitors (cost barriers, substitution risk). Scenario modeling covers base, optimistic, and conservative cases.

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