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Real-Time Supply Chain Monitoring for Agriculture Market by Component (Hardware, Services, Software), Technology (AI & Machine Learning, Big Data Analytics, Blockchain), Deployment Mode, Application, End User - Global Forecast 2025-2030- Product Image
Real-Time Supply Chain Monitoring for Agriculture Market by Component (Hardware, Services, Software), Technology (AI & Machine Learning, Big Data Analytics, Blockchain), Deployment Mode, Application, End User - Global Forecast 2025-2030- Product Image
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Real-Time Supply Chain Monitoring for Agriculture Market by Component (Hardware, Services, Software), Technology (AI & Machine Learning, Big Data Analytics, Blockchain), Deployment Mode, Application, End User - Global Forecast 2025-2030

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  • 183 Pages
  • August 2025
  • Region: Global
  • 360iResearch™
  • ID: 6160119
UP TO OFF until Jan 01st 2026
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The Real-Time Supply Chain Monitoring For Agriculture Market grew from USD 422.60 million in 2024 to USD 475.09 million in 2025. It is expected to continue growing at a CAGR of 12.67%, reaching USD 864.92 million by 2030.

Empowering Agriculture Through Real-Time Supply Chain Visibility

The agricultural sector is undergoing an unprecedented transformation driven by an urgent need for greater transparency, traceability, and operational resilience. Fluctuating weather patterns, extreme temperature events, and shifting consumer demands for freshness have amplified the complexity of global food supply chains. Growers, distributors, and retailers alike are pressured to ensure produce reaches end users in optimal condition while maintaining cost efficiency across every touchpoint. In this environment, traditional batch-based monitoring and manual record keeping no longer suffice, leaving crops vulnerable to spoilage, compliance failures, and unsustainable waste levels.

Against this backdrop, real-time supply chain monitoring emerges as a pivotal capability for modern agriculture. By integrating live data streams from field sensors, logistic partners, and inventory systems, stakeholders can achieve end-to-end visibility that drives proactive decision making. From anticipating soil moisture deficits to rerouting shipments around transportation bottlenecks, the ability to observe and respond instantly transforms risk management and resource utilization. This executive summary sets the stage for a deep dive into the latest technological advancements, policy shifts, and market dynamics shaping the adoption of real-time monitoring solutions in agricultural value chains.

Emerging Trends Reshaping Agri-Logistics Dynamics

The landscape of agricultural logistics is being reshaped by a confluence of technological, regulatory, and sustainability imperatives. Internet of Things devices have proliferated across farms, enabling continuous tracking of soil parameters, ambient conditions, and asset locations. Meanwhile, machine learning algorithms have evolved from experimental proofs of concept into robust analytics engines that can forecast spoilage risks, optimize irrigation schedules, and predict demand surges with remarkable accuracy. This convergence of sensor hardware and intelligent software is accelerating the transition from reactive to predictive supply chain management, unlocking new efficiencies and resilience.

Concurrently, consumers and regulators alike are demanding greater accountability around food origin, carbon footprints, and waste reduction. Blockchain pilots have demonstrated the potential to create tamper-evident provenance records, while sustainability reporting frameworks are incentivizing investments in low-impact logistics. Together, these transformative shifts are redefining competitive benchmarks: industry leaders are those who can harness real-time insights to certify quality, minimize resource consumption, and comply seamlessly with evolving trade and environmental regulations. The sections ahead unpack how these forces are converging to create actionable pathways for stakeholders across the agricultural ecosystem.

Assessing the Ripple Effects of U.S. Tariffs on Agricultural Supply Networks

As of 2025, a series of United States tariffs on agricultural inputs and technology components has introduced both challenges and strategic recalibrations across supply networks. Machinery parts, sensor modules, and related software licenses imported from key trading partners have faced increased duties, driving up procurement costs and squeezing margins for solution providers. In response, some hardware manufacturers have localized production, while service enterprises are redesigning support models to leverage regional expertise and minimize cross-border dependencies. The net effect has been a reconfiguration of supply corridors and a greater emphasis on near-sourcing where feasible.

These trade measures have also prompted end users to reassess total cost of ownership when selecting real-time monitoring solutions. Farmers and processors are evaluating subscription-based analytics services as an alternative to heavy upfront investment in imported hardware. At the same time, distributors and retailers are diversifying their vendor portfolios, seeking partners with hybrid deployment capabilities that can bypass tariff-exposed channels. This cumulative impact underscores the importance of strategic agility: stakeholders who can anticipate policy shifts, cultivate alternative sourcing routes, and negotiate flexible service terms will be best positioned to maintain competitiveness.

Revealing Key Component, Deployment, and End-User Perspectives

Component, deployment mode, and end-user segmentation reveal distinct adoption patterns that inform solution design and go-to-market strategies. Within the component lens, humidity, pH, soil moisture, and temperature sensors form the backbone of field instrumentation, while integrated software platforms capture, analyze, and visualize data. Complementing these technologies, consulting, integration, and ongoing support services have become essential for ensuring systems deliver actionable insights. This interplay between hardware accuracy, software intelligence, and specialized expertise fuels comprehensive monitoring frameworks.

Switching focus to deployment mode, cloud-based architectures dominate new implementations, offering scalability, remote accessibility, and seamless updates. Nonetheless, on-premises solutions retain appeal in regions with limited connectivity or heightened data sovereignty concerns. Finally, end-user analysis shows farmers leveraging real-time data to optimize yields and resource use, processors applying traceability tools to meet quality standards, distributors streamlining logistics, and retailers enhancing inventory planning. Understanding these segmentation-driven preferences enables providers to craft modular offerings that align precisely with stakeholder priorities.

Unpacking Regional Variations in Real-Time Monitoring Adoption

Regional dynamics exert a powerful influence on both technology adoption and strategic priorities. In the Americas, established infrastructure and mature precision agriculture practices have fostered rapid uptake of real-time monitoring solutions. Cultivators in North America and South America benefit from well-developed connectivity networks, enabling widespread deployment of cloud-native analytics and advanced sensor arrays. This environment has catalyzed partnerships between technology vendors and enterprise-scale farms, accelerating the diffusion of best practices across value chains.

Turning to Europe, the Middle East, and Africa, regulatory emphasis on sustainability and food safety has spurred investments in traceability platforms and smart sensor integration. Within the European Union, harmonized data standards and incentive programs for green farming drive alignment among technology providers and end users. Meanwhile, markets across Africa and the Middle East are leveraging mobile-first solutions to overcome infrastructure gaps, creating pockets of rapid innovation. In the Asia-Pacific region, densely populated agricultural zones in countries such as India, China, and Australia are emerging as hotspots for sensor-driven irrigation management and post-harvest monitoring. The blend of high-volume production, resource constraints, and proactive policy measures is propelling Asia-Pacific to the forefront of real-time monitoring adoption.

Spotlight on Market-Leading Innovators and Collaborators

Leading companies have differentiated themselves through robust technology portfolios, strategic alliances, and service excellence. Hardware innovators are continually refining sensor accuracy, energy efficiency, and durability for harsh field conditions, while software specialists are embedding advanced analytics, visualization dashboards, and API integrations. Service providers complement these offerings with advisory engagements, system integration expertise, and responsive support frameworks that ensure rapid issue resolution.

Collaboration and consolidation are also defining features of this market. Partnerships between sensor manufacturers and cloud platform vendors have yielded turnkey solutions that accelerate time to value. At the same time, selective mergers and acquisitions have expanded geographic reach and resource depth, enabling providers to address the varying needs of smallholder farms, large cooperatives, and multinational distributors alike. Organizations that combine end-to-end technology stacks with proven service methodologies stand out as preferred partners for stakeholders seeking both innovation and reliability.

Strategic Imperatives for Harnessing Real-Time Agritech

Industry leaders should prioritize interoperability to enable seamless data flows between field sensors, logistics platforms, and enterprise resource planning systems. Investing in open APIs, standardized data schemas, and flexible integration layers will accelerate deployments and support future expansions. Concurrently, cultivating strategic alliances with logistics companies, agronomy specialists, and academic research institutions can drive co-innovation and validate solution efficacy in real-world environments.

Additionally, piloting next-generation sensing technologies-such as low-power wide-area networks, edge analytics, and AI-enhanced anomaly detection-will help organizations stay ahead of competitive disruptions. Tailoring deployment models to local connectivity conditions and data governance requirements will further broaden market access. Finally, proactive stakeholder engagement, including training programs and co-creation workshops, will foster end-user adoption and unlock sustained value realization.

Rigorous Framework Underpinning Our Analytical Approach

Our analysis combines rigorous primary and secondary research methodologies. We conducted in-depth interviews with senior executives, technology experts, and end users to capture firsthand perspectives on adoption barriers, success factors, and unmet needs. These insights were complemented by a comprehensive review of industry publications, regulatory documents, and company disclosures to establish a robust evidentiary foundation.

Data integrity was ensured through multi-stage validation, including cross-reference checks with proprietary databases and feedback sessions with an advisory panel of agronomists, supply chain specialists, and policy analysts. Segmentation analyses were structured to illuminate patterns across component, deployment mode, and end-user categories, while regional breakdowns accounted for economic, infrastructural, and regulatory variances. This methodological transparency underpins the credibility and actionable relevance of our conclusions.

Synthesizing Insights for Future-Ready Supply Chains

Real-time supply chain monitoring is no longer a futuristic concept but a strategic imperative for agricultural stakeholders seeking to mitigate risk, optimize operations, and meet evolving sustainability mandates. The intersection of sensor advances, cloud analytics, and policy shifts presents a unique window of opportunity for innovators and adopters alike. By leveraging granular insights into component preferences, deployment modalities, and regional nuances, organizations can tailor their strategies to maximize impact and resilience.

As global trade policies continue to evolve and environmental pressures intensify, the ability to observe, analyze, and act on supply chain data in real time will distinguish industry leaders from laggards. The insights and recommendations outlined in this executive summary provide a roadmap for harnessing technological momentum, navigating geopolitical headwinds, and delivering measurable value across every node of the agricultural value chain.

Market Segmentation & Coverage

This research report categorizes to forecast the revenues and analyze trends in each of the following sub-segmentations:
  • Component
    • Hardware
      • Drones & UAVs
      • GPS Devices
      • IoT Gateways
      • RFID Tags
      • Sensors
    • Services
      • Consulting
      • Integration
    • Software
      • Farm Management Systems (FMS)
      • Supply Chain Management (SCM) Platforms
  • Technology
    • AI & Machine Learning
    • Big Data Analytics
    • Blockchain
    • Cloud Computing
    • IoT
  • Deployment Mode
    • Cloud
    • On Premises
  • Application
    • Cold Chain Monitoring
    • Crop Monitoring
    • Inventory & Warehouse Management
    • Livestock Monitoring
    • Quality Control & Traceability
  • End User
    • Agribusiness Companies
    • Farmers & Growers
    • Food Processing Companies
    • Government & Regulatory Bodies
    • Logistics & Transportation Companies
This research report categorizes to forecast the revenues and analyze trends in each of the following sub-regions:
  • Americas
    • United States
      • California
      • Texas
      • New York
      • Florida
      • Illinois
      • Pennsylvania
      • Ohio
    • Canada
    • Mexico
    • Brazil
    • Argentina
  • Europe, Middle East & Africa
    • United Kingdom
    • Germany
    • France
    • Russia
    • Italy
    • Spain
    • United Arab Emirates
    • Saudi Arabia
    • South Africa
    • Denmark
    • Netherlands
    • Qatar
    • Finland
    • Sweden
    • Nigeria
    • Egypt
    • Turkey
    • Israel
    • Norway
    • Poland
    • Switzerland
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
    • Indonesia
    • Thailand
    • Philippines
    • Malaysia
    • Singapore
    • Vietnam
    • Taiwan
This research report delves into recent significant developments and analyzes trends in each of the following companies:
  • International Business Machines Corporation
  • GrainChain, Inc.
  • AGRIVI Ltd.
  • Cannon Logistics Pty Ltd.
  • Cisco Systems, Inc.
  • Crop Analytica
  • Cropin Technology Solutions Private Limited
  • CSM Technologies Private Limited
  • Farmonaut Technologies Pvt. Ltd. by ZenaTech
  • Infosys Limited
  • Koltiva AG
  • Maaya Software Solutions Pvt Ltd.
  • Microsoft Corporation
  • Oracle Corporation
  • SAP SE
  • Schneider Electric SE
  • Sedex Information Exchange Limited
  • Soiltech Wireless Inc.
  • SourceTrace Systems, Inc.
  • Tecsoil, Inc.
  • Telit Cinterion
  • TraceX Technologies
  • Trimble Inc.

Table of Contents

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
3.1. From Farm to Forecast: Evolution and Impact of Real-Time Agricultural Supply Monitoring
3.2. Mapping Market Dynamics and Competitive Strategies in Real-Time Agri-Chain Monitoring
3.3. Strategic Lifecycle, IP Landscape, and Go-to-Market Roadmap for Real-Time Ag Supply Monitoring
3.4. Growth Pathways and Emerging Trends Shaping Real-Time Agri-Chain Monitoring
4. Market Overview
4.1. Introduction
4.1.1. Harnessing Real-Time Visibility to Transform Agricultural Supply Chains
4.1.2. Regional Dynamics Shaping Adoption in the Americas, EMEA, and Asia-Pacific
4.1.3. Innovations, Collaborations, and Key Events Steering Future Growth
4.2. Market Sizing & Forecasting
5. Market Dynamics
5.1. Real-time compliance reporting tools automating food safety standards across multi-tier supply chains
5.1.1. Defining Real-Time Food Safety Compliance in Agriculture Supply Chains
5.1.2. Reshaping Agricultural Supply Chains Through Automated Compliance Reporting
5.1.3. Charting the Future of Food Safety Automation in Real-Time Monitoring
5.2. Integration of IoT sensor networks for real-time crop and livestock health monitoring
5.2.1. Bridging Farm Fields and Supply Chains with Connected Sensor Grids
5.2.2. Rewiring Value Chains and Business Models through Live Health Data
5.2.3. Navigating Emerging Pathways and Risks in Sensor-Driven Agriculture
5.3. Edge computing architectures minimizing latency for on-site agricultural data processing and analytics
5.3.1. On-Site Edge Intelligence in Agricultural Supply Chains
5.3.2. Rewriting Agri-Supply Chain Rules with Low-Latency Edge Analytics
5.3.3. Navigating the Next Wave of Edge-First Agri Supply Chains
5.4. Mobile dashboard applications providing farmers with real-time transparency across the agricultural supply chain
5.4.1. Harnessing Real-Time Mobile Dashboards for Farmer Visibility
5.4.2. Transforming AgriSupply Chains with Mobile Transparency
5.4.3. Navigating Future Paths and Risks for Mobile Farm Dashboards
5.5. Deployment of AI-driven predictive analytics for dynamic demand forecasting in agriculture logistics
5.5.1. Decoding AI-Powered Demand Forecasting in Agricultural Logistics
5.5.2. How Predictive Intelligence Is Rewiring Agriculture Supply Chains
5.5.3. Charting the Next Phase for AI Forecasting in Agricultural Logistics
5.6. Satellite imagery integrated with ground sensor data for enhanced agricultural yield prediction accuracy
5.6.1. Fusing Satellite Insights with Field Sensor Data for Precision Yield Forecasting
5.6.2. Redefining Supply Chain Dynamics through Integrated Imagery and Sensor Analytics
5.6.3. Navigating the Path Forward: Future Scenarios and Strategic Guidance
5.7. Blockchain-enabled traceability platforms ensuring authenticity and quality of fresh produce
5.7.1. Farm-to-Fork Assurance through Blockchain Traceability
5.7.2. Transforming Agricultural Value Chains with Immutable Records
5.7.3. Charting the Next Evolution of Traceable Fresh Produce
5.8. Predictive maintenance scheduling of cold storage and refrigeration units to prevent spoilage losses
5.8.1. Understanding Predictive Refrigeration Maintenance in Agriculture Supply Chains
5.8.2. Transformative Impact on Market Dynamics and Value Creation
5.8.3. Navigating Future Paths and Strategic Adaptation
5.9. Cold chain IoT temperature monitoring systems ensuring compliance and freshness throughout transportation
5.9.1. Mapping Cold Chain IoT: Ensuring Freshness from Farm to Fork
5.9.2. Revolutionizing Agricultural Supply Chains Through Real-Time Temperature Sensing
5.9.3. Strategic Roadmap for Cold Chain IoT in Agriculture Over the Next Five Years
5.10. Drone-enabled aerial monitoring solutions providing parcel-level insights into crop conditions
5.10.1. Unpacking Parcel-Level Drone Monitoring in Agriculture
5.10.2. Disrupting Supply Chains through Aerial Intelligence
5.10.3. Future Pathways and Strategic Navigation of Drone Monitoring
6. Market Insights
6.1. Porter’s Five Forces Analysis
6.1.1. Robust Barriers Slowing New Player Inroads
6.1.2. Alternative Solutions Challenge Core Offerings
6.1.3. Supplier Dynamics Influence Tech Provision
6.1.4. Empowered Buyers Demand Competitive Solutions
6.1.5. Intense Rivalry Spurs Continuous Innovation
6.2. PESTLE Analysis
6.2.1. Policy currents shaping smart agricultural supply chains
6.2.2. Economic pressures shaping adoption of agri-monitoring solutions
6.2.3. Consumer values driving demand for transparent supply chains
6.2.4. Breakthrough technologies powering real-time farm insights
6.2.5. Regulatory frameworks redefining data and safety standards in agriculture
6.2.6. Environmental imperatives accelerating resilient supply chains
7. Cumulative Impact of United States Tariffs 2025
7.1. A Closer Look at 2023-2025 Tariff Shifts Shaping Markets
7.2. Tracing the Roots and Rationale Behind Modern Tariff Policies
7.3. How Tariffs Are Fanning Inflationary Pressures Worldwide
7.4. Escalating Retaliation and the Geopolitical Undercurrents of Trade Disputes
7.5. Ripple Effects on Key Trading Partners’ Economies and Policies
7.6. Enduring Shifts in Supply Chains and Consumer Behavior
7.7. Crafting Balanced Trade Policies to Soften Tariff Shocks
8. Real-Time Supply Chain Monitoring For Agriculture Market, by Component
8.1. Introduction
8.2. Hardware
8.2.1. Drones & UAVs
8.2.2. GPS Devices
8.2.3. IoT Gateways
8.2.4. RFID Tags
8.2.5. Sensors
8.3. Services
8.3.1. Consulting
8.3.2. Integration
8.4. Software
8.4.1. Farm Management Systems (FMS)
8.4.2. Supply Chain Management (SCM) Platforms
9. Real-Time Supply Chain Monitoring For Agriculture Market, by Technology
9.1. Introduction
9.2. AI & Machine Learning
9.3. Big Data Analytics
9.4. Blockchain
9.5. Cloud Computing
9.6. IoT
10. Real-Time Supply Chain Monitoring For Agriculture Market, by Deployment Mode
10.1. Introduction
10.2. Cloud
10.3. On Premises
11. Real-Time Supply Chain Monitoring For Agriculture Market, by Application
11.1. Introduction
11.2. Cold Chain Monitoring
11.3. Crop Monitoring
11.4. Inventory & Warehouse Management
11.5. Livestock Monitoring
11.6. Quality Control & Traceability
12. Real-Time Supply Chain Monitoring For Agriculture Market, by End User
12.1. Introduction
12.2. Agribusiness Companies
12.3. Farmers & Growers
12.4. Food Processing Companies
12.5. Government & Regulatory Bodies
12.6. Logistics & Transportation Companies
13. Americas Real-Time Supply Chain Monitoring For Agriculture Market
13.1. Introduction
13.2. Brazil
13.3. Argentina
13.4. Mexico
13.5. United States
13.6. Canada
14. Europe, Middle East & Africa Real-Time Supply Chain Monitoring For Agriculture Market
14.1. Introduction
14.2. Sweden
14.3. Saudi Arabia
14.4. Qatar
14.5. United Kingdom
14.6. Netherlands
14.7. Egypt
14.8. Russia
14.9. Israel
14.10. Spain
14.11. Germany
14.12. Poland
14.13. Finland
14.14. Norway
14.15. Nigeria
14.16. South Africa
14.17. United Arab Emirates
14.18. Turkey
14.19. France
14.20. Switzerland
14.21. Italy
14.22. Denmark
15. Asia-Pacific Real-Time Supply Chain Monitoring For Agriculture Market
15.1. Introduction
15.2. South Korea
15.3. Singapore
15.4. Japan
15.5. China
15.6. Australia
15.7. Taiwan
15.8. Philippines
15.9. India
15.10. Malaysia
15.11. Thailand
15.12. Vietnam
15.13. Indonesia
16. Competitive Landscape
16.1. Market Share Analysis, 2024
16.2. FPNV Positioning Matrix, 2024
16.3. Competitive Analysis
16.3.1. International Business Machines Corporation
16.3.1.1. IBM’s Evolution as a Leader in Real-Time Agricultural Supply Chain Monitoring
16.3.1.2. Evaluating IBM’s Key Offerings in Real-Time Agricultural Supply Chain Visibility
16.3.1.3. Mitigating Threats and Charting Strategic Paths for IBM in Agricultural Monitoring
16.3.2. GrainChain, Inc.
16.3.2.1. Evolution and Global Impact of GrainChain’s Real-Time Crop Tracking
16.3.2.2. Deep Dive into GrainChain’s Flagship Real-Time Supply Chain Offerings
16.3.2.3. Navigating Risks and Strategic Imperatives for GrainChain’s Next Phase
16.3.3. AGRIVI Ltd.
16.3.3.1. AGRIVI’s Journey from Farm Management Pioneer to Real-Time Supply Chain Innovator
16.3.3.2. Evaluating AGRIVI’s Real-Time Monitoring Suite Against Grower Needs
16.3.3.3. Mitigating Risks and Strengthening AGRIVI’s Market Position
16.3.4. Cannon Logistics Pty Ltd.
16.3.4.1. Product Innovations Driving Agricultural Transparency
16.3.4.2. Navigating Risks and Fortifying Market Leadership
16.3.5. Cisco Systems, Inc.
16.3.5.1. Key IoT Solutions Powering Real-Time Agricultural Tracking
16.3.5.2. Navigating Competitive, Technical, and Regulatory Risks to Safeguard Growth
16.3.6. Crop Analytica
16.3.6.1. Flagship Solutions Powering Real-Time Agricultural Supply Chains
16.3.6.2. Mitigating Risks and Charting Strategic Pathways for Growth
16.3.7. Cropin Technology Solutions Private Limited
16.3.7.1. From Inception to Industry Vanguard in Real-Time Agri Supply Chain Monitoring
16.3.7.2. Deep Dive into Flagship Real-Time Monitoring Solutions
16.3.7.3. Navigating Risks and Forging Strategic Pathways for Future Growth
16.3.8. CSM Technologies Private Limited
16.3.8.1. CSM Technologies’ Rise in Real-Time Agricultural Supply Chain Intelligence
16.3.8.2. Deep Dive into CSM’s Flagship Monitoring Platforms
16.3.8.3. Navigating Risks and Fortifying CSM’s Market Position
16.3.9. Farmonaut Technologies Pvt. Ltd. by ZenaTech
16.3.9.1. Deep Dive into Farmonaut’s Real-Time Monitoring Solutions
16.3.9.2. Navigating Risks and Building a Resilient Growth Framework
16.3.10. Infosys Limited
16.3.10.1. Assessing Flagship Digital Platforms Powering Agricultural Supply Chain Visibility
16.3.10.2. Addressing Critical Threats and Strategic Initiatives for Market Resilience
16.3.11. Koltiva AG
16.3.11.1. Unpacking Koltiva AG’s Flagship Real-Time Monitoring Solutions
16.3.11.2. Navigating Risks and Charting the Path for Sustained Growth
16.3.12. Maaya Software Solutions Pvt Ltd.
16.3.12.1. Maaya Software’s Strategic Evolution and Market Footprint
16.3.12.2. Assessment of Flagship Solutions Addressing Agriculture Supply Chain Needs
16.3.12.3. Mitigating Risks and Strengthening Competitive Edge
16.3.13. Microsoft Corporation
16.3.13.1. Cultivating Visibility: Microsoft’s Strategic Footprint in Agri Supply Monitoring
16.3.13.2. Azure-Powered Intelligence: Core Solutions Shaping Farm-to-Table Supply Chains
16.3.13.3. Securing the Harvest: Mitigating Risks and Catalyzing Agri Supply Chain Innovation
16.3.14. Oracle Corporation
16.3.14.1. Deep Dive into Oracle’s Real-Time Agricultural Supply Chain Solutions
16.3.14.2. Navigating Threats and Strengthening Oracle’s Agri-Chain Leadership
16.3.15. SAP SE
16.3.15.1. From Enterprise Origins to Agricultural Intelligence
16.3.15.2. Flagship Solutions Powering Real-Time Agricultural Visibility
16.3.15.3. Navigating Risks and Fortifying Market Leadership
16.3.16. Schneider Electric SE
16.3.16.1. Schneider Electric’s Legacy and Geographic Reach in Agri Supply Chain Monitoring
16.3.16.2. Flagship Solutions Driving Real-Time Agricultural Supply Chain Insights
16.3.16.3. Navigating Risks and Fortifying Future Agri Monitoring Dominance
16.3.17. Sedex Information Exchange Limited
16.3.17.1. Pioneering Transparency in Agricultural Supply Chains
16.3.17.2. Flagship Solutions Powering Real-Time Agricultural Monitoring
16.3.17.3. Navigating Risks and Charting Strategic Enhancements
16.3.18. Soiltech Wireless Inc.
16.3.18.1. Soiltech Wireless Inc Evolution and Market Footprint
16.3.18.2. Flagship Offerings Powering Real-Time Agricultural Insights
16.3.18.3. Mitigating Risks and Elevating Soiltech’s Market Leadership
16.3.19. SourceTrace Systems, Inc.
16.3.19.1. Deep Dive into SourceTrace’s Real-Time Monitoring Solutions and Market Performance
16.3.19.2. Navigating Risks and Strategies for Sustainable Market Leadership in Ag Supply Monitoring
16.3.20. Tecsoil, Inc.
16.3.20.1. Tecsoil’s Journey to a Leader in Real-Time Agricultural Supply Chain Monitoring
16.3.20.2. Flagship Solutions Powering Precision Agri-Logistics
16.3.20.3. Navigating Risks and Fortifying Tecsoil’s Market Position
16.3.21. Telit Cinterion
16.3.21.1. Telit Cinterion’s Evolution as a Pillar in Agricultural Supply Chain Monitoring
16.3.21.2. Assessing Telit Cinterion’s Flagship IoT Offerings for Farm-to-Fork Visibility
16.3.21.3. Navigating Risks and Charting Strategic Growth Paths in Agri-Supply Chain IoT
16.3.22. TraceX Technologies
16.3.22.1. Unpacking Flagship Solutions Transforming Farm Supply Chains
16.3.22.2. Mitigating Threats and Crafting Strategic Growth Pathways
16.3.23. Trimble Inc.
16.3.23.1. Core Solutions Powering Trimble’s Ag Supply Chain Monitoring
16.3.23.2. Mitigating Threats to Fortify Trimble’s Agricultural Supply Chain Leadership
17. ResearchAI
18. ResearchStatistics
19. ResearchContacts
20. ResearchArticles
21. Appendix
List of Figures
FIGURE 1. REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET MULTI-CURRENCY
FIGURE 2. REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET MULTI-LANGUAGE
FIGURE 3. REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET RESEARCH PROCESS
FIGURE 4. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, 2018-2030 (USD MILLION)
FIGURE 5. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 6. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 7. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COMPONENT, 2024 VS 2030 (%)
FIGURE 8. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COMPONENT, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 9. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2024 VS 2030 (%)
FIGURE 10. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 11. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2030 (%)
FIGURE 12. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 13. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY APPLICATION, 2024 VS 2030 (%)
FIGURE 14. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 15. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY END USER, 2024 VS 2030 (%)
FIGURE 16. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY END USER, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 17. AMERICAS REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
FIGURE 18. AMERICAS REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 19. UNITED STATES REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY STATE, 2024 VS 2030 (%)
FIGURE 20. UNITED STATES REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY STATE, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 21. EUROPE, MIDDLE EAST & AFRICA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
FIGURE 22. EUROPE, MIDDLE EAST & AFRICA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 23. ASIA-PACIFIC REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
FIGURE 24. ASIA-PACIFIC REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 25. REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SHARE, BY KEY PLAYER, 2024
FIGURE 26. REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET, FPNV POSITIONING MATRIX, 2024
List of Tables
TABLE 1. REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SEGMENTATION & COVERAGE
TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
TABLE 3. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, 2018-2030 (USD MILLION)
TABLE 4. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
TABLE 5. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 6. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 7. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY HARDWARE, BY REGION, 2018-2030 (USD MILLION)
TABLE 8. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY DRONES & UAVS, BY REGION, 2018-2030 (USD MILLION)
TABLE 9. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY GPS DEVICES, BY REGION, 2018-2030 (USD MILLION)
TABLE 10. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY IOT GATEWAYS, BY REGION, 2018-2030 (USD MILLION)
TABLE 11. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY RFID TAGS, BY REGION, 2018-2030 (USD MILLION)
TABLE 12. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SENSORS, BY REGION, 2018-2030 (USD MILLION)
TABLE 13. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 14. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
TABLE 15. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY CONSULTING, BY REGION, 2018-2030 (USD MILLION)
TABLE 16. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY INTEGRATION, BY REGION, 2018-2030 (USD MILLION)
TABLE 17. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 18. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
TABLE 19. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY FARM MANAGEMENT SYSTEMS (FMS), BY REGION, 2018-2030 (USD MILLION)
TABLE 20. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SUPPLY CHAIN MANAGEMENT (SCM) PLATFORMS, BY REGION, 2018-2030 (USD MILLION)
TABLE 21. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 22. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 23. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY AI & MACHINE LEARNING, BY REGION, 2018-2030 (USD MILLION)
TABLE 24. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY BIG DATA ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
TABLE 25. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY BLOCKCHAIN, BY REGION, 2018-2030 (USD MILLION)
TABLE 26. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY CLOUD COMPUTING, BY REGION, 2018-2030 (USD MILLION)
TABLE 27. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY IOT, BY REGION, 2018-2030 (USD MILLION)
TABLE 28. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 29. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY CLOUD, BY REGION, 2018-2030 (USD MILLION)
TABLE 30. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY ON PREMISES, BY REGION, 2018-2030 (USD MILLION)
TABLE 31. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 32. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COLD CHAIN MONITORING, BY REGION, 2018-2030 (USD MILLION)
TABLE 33. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY CROP MONITORING, BY REGION, 2018-2030 (USD MILLION)
TABLE 34. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY INVENTORY & WAREHOUSE MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
TABLE 35. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY LIVESTOCK MONITORING, BY REGION, 2018-2030 (USD MILLION)
TABLE 36. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY QUALITY CONTROL & TRACEABILITY, BY REGION, 2018-2030 (USD MILLION)
TABLE 37. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 38. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY AGRIBUSINESS COMPANIES, BY REGION, 2018-2030 (USD MILLION)
TABLE 39. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY FARMERS & GROWERS, BY REGION, 2018-2030 (USD MILLION)
TABLE 40. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY FOOD PROCESSING COMPANIES, BY REGION, 2018-2030 (USD MILLION)
TABLE 41. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY GOVERNMENT & REGULATORY BODIES, BY REGION, 2018-2030 (USD MILLION)
TABLE 42. GLOBAL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY LOGISTICS & TRANSPORTATION COMPANIES, BY REGION, 2018-2030 (USD MILLION)
TABLE 43. AMERICAS REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 44. AMERICAS REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 45. AMERICAS REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 46. AMERICAS REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 47. AMERICAS REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 48. AMERICAS REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 49. AMERICAS REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 50. AMERICAS REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 51. AMERICAS REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 52. BRAZIL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 53. BRAZIL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 54. BRAZIL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 55. BRAZIL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 56. BRAZIL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 57. BRAZIL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 58. BRAZIL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 59. BRAZIL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 60. ARGENTINA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 61. ARGENTINA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 62. ARGENTINA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 63. ARGENTINA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 64. ARGENTINA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 65. ARGENTINA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 66. ARGENTINA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 67. ARGENTINA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 68. MEXICO REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 69. MEXICO REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 70. MEXICO REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 71. MEXICO REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 72. MEXICO REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 73. MEXICO REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 74. MEXICO REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 75. MEXICO REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 76. UNITED STATES REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 77. UNITED STATES REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 78. UNITED STATES REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 79. UNITED STATES REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 80. UNITED STATES REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 81. UNITED STATES REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 82. UNITED STATES REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 83. UNITED STATES REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 84. UNITED STATES REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
TABLE 85. CANADA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 86. CANADA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 87. CANADA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 88. CANADA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 89. CANADA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 90. CANADA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 91. CANADA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 92. CANADA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 93. EUROPE, MIDDLE EAST & AFRICA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 94. EUROPE, MIDDLE EAST & AFRICA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 95. EUROPE, MIDDLE EAST & AFRICA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 96. EUROPE, MIDDLE EAST & AFRICA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 97. EUROPE, MIDDLE EAST & AFRICA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 98. EUROPE, MIDDLE EAST & AFRICA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 99. EUROPE, MIDDLE EAST & AFRICA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 100. EUROPE, MIDDLE EAST & AFRICA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 101. EUROPE, MIDDLE EAST & AFRICA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 102. SWEDEN REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 103. SWEDEN REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 104. SWEDEN REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 105. SWEDEN REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 106. SWEDEN REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 107. SWEDEN REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 108. SWEDEN REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 109. SWEDEN REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 110. SAUDI ARABIA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 111. SAUDI ARABIA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 112. SAUDI ARABIA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 113. SAUDI ARABIA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 114. SAUDI ARABIA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 115. SAUDI ARABIA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 116. SAUDI ARABIA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 117. SAUDI ARABIA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 118. QATAR REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 119. QATAR REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 120. QATAR REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 121. QATAR REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 122. QATAR REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 123. QATAR REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 124. QATAR REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 125. QATAR REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 126. UNITED KINGDOM REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 127. UNITED KINGDOM REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 128. UNITED KINGDOM REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 129. UNITED KINGDOM REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 130. UNITED KINGDOM REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 131. UNITED KINGDOM REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 132. UNITED KINGDOM REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 133. UNITED KINGDOM REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 134. NETHERLANDS REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 135. NETHERLANDS REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 136. NETHERLANDS REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 137. NETHERLANDS REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 138. NETHERLANDS REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 139. NETHERLANDS REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 140. NETHERLANDS REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 141. NETHERLANDS REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 142. EGYPT REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 143. EGYPT REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 144. EGYPT REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 145. EGYPT REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 146. EGYPT REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 147. EGYPT REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 148. EGYPT REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 149. EGYPT REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 150. RUSSIA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 151. RUSSIA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 152. RUSSIA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 153. RUSSIA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 154. RUSSIA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 155. RUSSIA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 156. RUSSIA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 157. RUSSIA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 158. ISRAEL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 159. ISRAEL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 160. ISRAEL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 161. ISRAEL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 162. ISRAEL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 163. ISRAEL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 164. ISRAEL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 165. ISRAEL REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 166. SPAIN REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 167. SPAIN REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 168. SPAIN REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 169. SPAIN REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 170. SPAIN REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 171. SPAIN REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 172. SPAIN REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 173. SPAIN REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 174. GERMANY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 175. GERMANY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 176. GERMANY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 177. GERMANY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 178. GERMANY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 179. GERMANY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 180. GERMANY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 181. GERMANY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 182. POLAND REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 183. POLAND REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 184. POLAND REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 185. POLAND REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 186. POLAND REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 187. POLAND REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 188. POLAND REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 189. POLAND REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 190. FINLAND REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 191. FINLAND REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 192. FINLAND REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 193. FINLAND REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 194. FINLAND REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 195. FINLAND REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 196. FINLAND REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 197. FINLAND REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 198. NORWAY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 199. NORWAY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 200. NORWAY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 201. NORWAY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 202. NORWAY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 203. NORWAY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 204. NORWAY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 205. NORWAY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 206. NIGERIA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 207. NIGERIA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 208. NIGERIA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 209. NIGERIA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 210. NIGERIA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 211. NIGERIA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 212. NIGERIA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 213. NIGERIA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 214. SOUTH AFRICA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 215. SOUTH AFRICA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 216. SOUTH AFRICA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 217. SOUTH AFRICA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 218. SOUTH AFRICA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 219. SOUTH AFRICA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 220. SOUTH AFRICA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 221. SOUTH AFRICA REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 222. UNITED ARAB EMIRATES REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 223. UNITED ARAB EMIRATES REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 224. UNITED ARAB EMIRATES REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 225. UNITED ARAB EMIRATES REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 226. UNITED ARAB EMIRATES REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 227. UNITED ARAB EMIRATES REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 228. UNITED ARAB EMIRATES REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 229. UNITED ARAB EMIRATES REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 230. TURKEY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 231. TURKEY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 232. TURKEY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 233. TURKEY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 234. TURKEY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 235. TURKEY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 236. TURKEY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 237. TURKEY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 238. FRANCE REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 239. FRANCE REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 240. FRANCE REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 241. FRANCE REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 242. FRANCE REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 243. FRANCE REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 244. FRANCE REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 245. FRANCE REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 246. SWITZERLAND REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 247. SWITZERLAND REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 248. SWITZERLAND REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 249. SWITZERLAND REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 250. SWITZERLAND REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 251. SWITZERLAND REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 252. SWITZERLAND REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 253. SWITZERLAND REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 254. ITALY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 255. ITALY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 256. ITALY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 257. ITALY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 258. ITALY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 259. ITALY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 260. ITALY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 261. ITALY REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 262. DENMARK REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 263. DENMARK REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 264. DENMARK REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 265. DENMARK REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 266. DENMARK REAL-TIME SUPPLY CHAIN MONITORING FOR AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD

Samples

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Companies Mentioned

The companies profiled in this Real-Time Supply Chain Monitoring for Agriculture market report include:
  • International Business Machines Corporation
  • GrainChain, Inc.
  • AGRIVI Ltd.
  • Cannon Logistics Pty Ltd.
  • Cisco Systems, Inc.
  • Crop Analytica
  • Cropin Technology Solutions Private Limited
  • CSM Technologies Private Limited
  • Farmonaut Technologies Pvt. Ltd. by ZenaTech
  • Infosys Limited
  • Koltiva AG
  • Maaya Software Solutions Pvt Ltd.
  • Microsoft Corporation
  • Oracle Corporation
  • SAP SE
  • Schneider Electric SE
  • Sedex Information Exchange Limited
  • Soiltech Wireless Inc.
  • SourceTrace Systems, Inc.
  • Tecsoil, Inc.
  • Telit Cinterion
  • TraceX Technologies
  • Trimble Inc.

Table Information

Report AttributeDetails
No. of Pages183
PublishedAugust 2025
Forecast Period2025 - 2030
Estimated Market Value ( USD ) in 2025 $ 475.09 Million
Forecasted Market Value ( USD ) by 2030 $ 864.92 Million
Compound Annual Growth Rate12.6%
Regions CoveredGlobal
No. of Companies Mentioned23

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