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Market Research Report

Global Smart Agriculture Devices Market Insights, Size, and Forecast By End Use (Farmers, Agricultural Cooperatives, Research Institutions, Government Bodies, Agri-tech Companies), By Technology (IoT Enabled Devices, Artificial Intelligence, Big Data Analytics, Robotics, Cloud Computing), By Application (Crop Management, Precision Agriculture, Weather Forecasting, Livestock Management, Supply Chain Management), By Device Type (Sensors, Drones, Automated Irrigation Systems, Livestock Monitoring Devices, Soil Monitoring Devices), By Region (North America, Europe, Asia-Pacific, Latin America, Middle East and Africa), Key Companies, Competitive Analysis, Trends, and Projections for 2026-2035

Report ID:27396
Published Date:Jan 2026
No. of Pages:201
Base Year for Estimate:2025
Format:
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Key Market Insights

Global Smart Agriculture Devices Market is projected to grow from USD 26.8 Billion in 2025 to USD 75.4 Billion by 2035, reflecting a compound annual growth rate of 13.8% from 2026 through 2035. This market encompasses a wide array of advanced technological solutions designed to enhance agricultural productivity, efficiency, and sustainability. It includes devices such as sensors, GPS/GIS devices, drones, automation and robotics, and various IoT enabled tools that optimize resource utilization, monitor crop health, and automate farming processes. The surge in global population demanding increased food production, coupled with shrinking arable land and climate change impacts, serves as a primary driver for market expansion. Furthermore, government initiatives promoting precision agriculture and digital farming, alongside rising labor costs and the need for higher operational efficiency, are significantly propelling the adoption of smart agriculture devices. The growing integration of artificial intelligence and machine learning for predictive analytics and informed decision-making further underpins this growth. The IoT Enabled Devices segment dominates the market, signifying the critical role of interconnected solutions in modern farming practices.

Global Smart Agriculture Devices Market Value (USD Billion) Analysis, 2025-2035

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13.8%
CAGR from
2025 - 2035
Source:
www.makdatainsights.com

Despite the promising growth trajectory, several restraints challenge market proliferation. High initial investment costs associated with acquiring and implementing smart agriculture devices remain a significant barrier for many small and medium sized farms. The lack of standardized data protocols and interoperability between different devices and platforms also presents a hurdle, complicating seamless integration. Additionally, limited technical expertise among farmers in developing regions and concerns regarding data security and privacy can impede wider adoption. However, numerous opportunities exist for market players. The development of more affordable and user friendly solutions, coupled with increased accessibility to financing options and training programs, can overcome some of these restraints. The emergence of subscription based models for smart agriculture services and the expansion into niche applications like vertical farming and aquaculture also offer substantial growth avenues. Partnerships between technology providers and agricultural cooperatives can further accelerate market penetration and foster innovation.

North America stands as the dominant region in the smart agriculture devices market, attributed to early adoption of advanced farming technologies, robust government support for agricultural innovation, and the presence of major industry players. The region benefits from a well established technological infrastructure and a strong focus on precision agriculture techniques. Conversely, Asia Pacific is poised to be the fastest growing region, driven by its vast agricultural landscape, increasing demand for food, and rapidly developing economies that are actively investing in modernizing their agricultural sectors. Government initiatives in countries like India and China to boost agricultural output and efficiency are key contributors to this accelerated growth. Key players such as John Deere, Taranis, Farmers Edge, and CNH Industrial are strategically focusing on product innovation, geographic expansion, and collaborative ventures to solidify their market positions and cater to the evolving needs of the global agricultural industry. These companies are investing in research and development to introduce next generation smart farming solutions that are more efficient, sustainable, and cost effective.

Quick Stats

  • Market Size (2025):

    USD 26.8 Billion

  • Projected Market Size (2035):

    USD 75.4 Billion

  • Leading Segment:

    IoT Enabled Devices (42.5% Share)

  • Dominant Region (2025):

    North America (38.2% Share)

  • CAGR (2026-2035):

    13.8%

What is Smart Agriculture Devices?

Smart Agriculture Devices are sensor based technologies deployed in farming to gather actionable data. These internet connected tools monitor various agricultural parameters like soil moisture, nutrient levels, crop health, and weather patterns. They automate processes such as irrigation, fertilization, and pest control, optimizing resource usage. The core concept involves precision farming: using data driven insights to make informed decisions, reducing waste, increasing yields, and improving overall farm efficiency. Significance lies in enhancing productivity, promoting sustainability, mitigating environmental impact, and enabling more resilient food production systems globally. Applications span from livestock monitoring to automated irrigation and greenhouse climate control.

What are the Trends in Global Smart Agriculture Devices Market

  • AI Powered Precision Farming Solutions

  • Edge Computing for Real Time Field Insights

  • Satellite and Drone Integrated Crop Monitoring

  • Robotics and Automation for Labor Optimization

  • IoT Sensors and Data Analytics for Yield Maximization

AI Powered Precision Farming Solutions

AI Powered Precision Farming Solutions are revolutionizing global smart agriculture by integrating sophisticated artificial intelligence with various farming devices. This trend focuses on optimizing resource utilization and maximizing crop yields through data driven insights. AI algorithms analyze vast amounts of data from sensors drones and satellites including soil conditions weather patterns and plant health. This enables farmers to make highly accurate decisions regarding irrigation fertilization pest control and harvesting. Predictive analytics help anticipate disease outbreaks and optimize planting schedules reducing waste and increasing productivity. The result is a more sustainable and efficient agricultural system where every action is precisely tailored to specific field conditions leading to improved profitability and environmental benefits.

Edge Computing for Real Time Field Insights

Edge computing is transforming smart agriculture by enabling real time field insights. Sensors on autonomous tractors, drones, and smart irrigation systems collect vast amounts of data at the source. Instead of sending all this raw information to a central cloud for processing, edge devices located directly on the farm analyze it locally.

This localized processing provides immediate actionable intelligence. Farmers can instantly detect nutrient deficiencies, pest infestations, or irrigation leaks. Predictive analytics at the edge optimize planting and harvesting schedules, improving crop yield and resource efficiency. Real time decision making minimizes response times to critical events, such as equipment malfunction or adverse weather conditions. This immediate feedback loop empowers precision agriculture, making operations more agile and sustainable, and ultimately enhancing productivity across the agricultural value chain.

What are the Key Drivers Shaping the Global Smart Agriculture Devices Market

  • Rising Adoption of Precision Agriculture and IoT

  • Increasing Demand for Food Security and Sustainability

  • Government Initiatives and Supportive Policies for Smart Farming

  • Advancements in AI, Big Data, and Automation Technologies

  • Growing Labor Shortages and Need for Operational Efficiency

Rising Adoption of Precision Agriculture and IoT

The increasing embrace of precision agriculture and the Internet of Things (IoT) is a powerful driver in the global smart agriculture devices market. Farmers worldwide are recognizing the substantial benefits of data driven farming, leading to a surge in demand for smart devices. Precision agriculture techniques, enabled by IoT sensors and analytics, allow for optimized resource allocation, real time monitoring of crops and livestock, and enhanced decision making. This shift empowers farmers to boost yields, minimize waste, and improve overall farm efficiency. As more agricultural operations adopt these sophisticated technologies to gain a competitive edge and achieve sustainable practices, the market for smart agriculture devices experiences significant expansion.

Increasing Demand for Food Security and Sustainability

A fundamental driver in the Global Smart Agriculture Devices Market is the escalating global imperative for food security and sustainability. As the world population continues to expand, there is immense pressure to produce more food efficiently and responsibly. Smart agriculture devices provide solutions by enabling precision farming, which optimizes resource utilization like water and nutrients, reducing waste and environmental impact. These technologies enhance crop yields, improve resilience to climate change, and ensure consistent food supply. Furthermore, increasing consumer awareness regarding sustainable practices and the demand for ethically produced food are pushing agricultural producers to adopt innovative technologies that promote long term ecological balance and food accessibility for all.

Government Initiatives and Supportive Policies for Smart Farming

Government support is a crucial accelerator for smart agriculture device adoption. Policies often include substantial subsidies for farmers investing in precision agriculture technologies like IoT sensors, automated irrigation, and drones. These financial incentives lower the initial cost barrier, making smart farming more accessible to a wider range of agricultural businesses. Furthermore, governments establish regulatory frameworks that promote data sharing, standardization, and interoperability among devices, fostering a more connected and efficient ecosystem. Investments in rural digital infrastructure, such as reliable internet connectivity, are also vital, ensuring smart devices can operate effectively even in remote areas. Such initiatives collectively build confidence and encourage the transition towards modernized, data driven farming practices.

Global Smart Agriculture Devices Market Restraints

High Initial Investment and Operational Costs for Smart Agriculture Devices

The significant capital required for smart agriculture devices presents a major hurdle to market expansion. Farmers, particularly those with smaller operations or in developing regions, often struggle to afford the upfront cost of advanced sensors, IoT platforms, and automated machinery. Beyond the initial purchase, these sophisticated systems also entail ongoing operational expenses. This includes the cost of data subscriptions, cloud storage, software licenses, and specialized maintenance. The need for skilled personnel to install, operate, and troubleshoot these technologies further adds to the financial burden. This combined high entry and running cost makes the adoption of smart agriculture devices prohibitive for many potential users, thus limiting widespread market penetration and growth.

Lack of Standardization and Interoperability Among Smart Agriculture Devices

A significant hurdle for the global smart agriculture devices market is the absence of unified standards and seamless communication between different devices. Farmers often invest in sensors, drones, and automated machinery from various manufacturers. However, these devices frequently operate on proprietary protocols, making it difficult for them to exchange data or work together efficiently. This lack of interoperability forces farmers into complex and costly integration projects or limits their ability to build a truly integrated smart farm ecosystem. The resulting fragmented data and cumbersome management discourage broader adoption, as the promised benefits of smart agriculture are undermined by compatibility issues and the inability to leverage a holistic view of farm operations. This inefficiency adds complexity and cost, slowing market expansion.

Global Smart Agriculture Devices Market Opportunities

IoT-Enabled Precision Farming for Sustainable Productivity

IoT enabled precision farming presents a transformative opportunity within the burgeoning global smart agriculture devices market. This paradigm leverages interconnected sensors, autonomous drones, and advanced data analytics platforms to provide farmers with real time insights. They can precisely monitor soil conditions, crop health, irrigation needs, and livestock well being, enabling highly targeted interventions. This granular visibility optimizes resource allocation for water, fertilizers, and pesticides, significantly reducing waste and minimizing environmental impact. Consequently, agricultural practices become inherently more sustainable. Proactive disease detection and precise yield forecasting enhance operational efficiency and crop resilience. The integration of smart devices for automated machinery control further improves labor productivity. This comprehensive approach ensures higher yields, improved food quality, and substantial conservation of natural resources. The escalating global demand, particularly in regions experiencing rapid agricultural growth, underscores this opportunity’s immense potential to drive sustainable productivity and food security worldwide.

Autonomous Agricultural Robotics for Labor Optimization

The compelling opportunity in autonomous agricultural robotics centers on its transformative potential for labor optimization within the Global Smart Agriculture Devices Market. These intelligent machines directly address pervasive labor shortages, escalating operational costs, and the increasing demand for efficiency across farming operations worldwide. By automating tasks like precision planting, targeted spraying, meticulous weeding, and selective harvesting, autonomous robots minimize reliance on manual labor, freeing human workers for more complex managerial roles. This not only mitigates staffing challenges but also ensures consistent output quality and round the clock operation, leading to higher productivity and improved resource utilization. The burgeoning agricultural sector in the Asia Pacific region presents a particularly fertile ground for this innovation, where vast farmlands and a growing push for modernization create an urgent need for sustainable, tech driven solutions. Deployment of these robotics promises enhanced crop yields, reduced waste, and greater profitability, establishing them as a cornerstone of future smart farming.

Global Smart Agriculture Devices Market Segmentation Analysis

Key Market Segments

By Device Type

  • •Sensors
  • •Drones
  • •Automated Irrigation Systems
  • •Livestock Monitoring Devices
  • •Soil Monitoring Devices

By Technology

  • •IoT Enabled Devices
  • •Artificial Intelligence
  • •Big Data Analytics
  • •Robotics
  • •Cloud Computing

By Application

  • •Crop Management
  • •Precision Agriculture
  • •Weather Forecasting
  • •Livestock Management
  • •Supply Chain Management

By End Use

  • •Farmers
  • •Agricultural Cooperatives
  • •Research Institutions
  • •Government Bodies
  • •Agri-tech Companies

Segment Share By Device Type

Share, By Device Type, 2025 (%)

  • Sensors
  • Automated Irrigation Systems
  • Drones
  • Livestock Monitoring Devices
  • Soil Monitoring Devices
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$26.8BGlobal Market Size, 2025
Source:
www.makdatainsights.com

Why are IoT Enabled Devices dominating the Global Smart Agriculture Devices Market?

IoT Enabled Devices lead the technology segment due to their fundamental role in connecting various smart agriculture components. They facilitate real time data collection from sensors, enable automated control of irrigation systems, and provide critical insights for precision farming. This interconnectedness allows farmers to monitor and manage operations remotely, optimizing resource use and improving overall productivity across diverse applications, establishing them as the backbone of modern agricultural technology.

What makes Crop Management a pivotal application within the smart agriculture landscape?

Crop Management stands out as a crucial application due to its direct impact on yield and quality. It integrates data from soil monitoring devices, weather forecasting, and automated irrigation systems, often leveraging IoT and AI technologies. This holistic approach enables precision planting, pest and disease detection, and optimized nutrient delivery, ensuring healthier crops and maximizing agricultural output, directly addressing core farming challenges for end users like farmers and agricultural cooperatives.

How do various device types contribute to the growth of smart agriculture?

Device types such as Sensors, Drones, and Automated Irrigation Systems form the physical foundation of smart agriculture. Sensors gather vital data on soil conditions or livestock health, while drones offer aerial insights for crop monitoring. Automated irrigation systems apply water precisely based on sensor data. These devices, often powered by IoT and AI technologies, enable precision agriculture and livestock management, providing tangible benefits that drive adoption among farmers and agri tech companies, enhancing efficiency and sustainability.

What Regulatory and Policy Factors Shape the Global Smart Agriculture Devices Market

The global smart agriculture devices market is shaped by evolving regulatory frameworks. Data privacy and security are critical, with numerous jurisdictions implementing stringent rules akin to GDPR, dictating the collection, storage, and usage of agricultural data and demanding robust cybersecurity. Spectrum allocation for IoT, 5G, and satellite communication is vital, governed by national telecommunication authorities ensuring reliable connectivity and preventing interference. Product safety and electromagnetic compatibility certifications, such as CE marking or FCC standards, are prerequisite for market entry across regions, affirming device reliability and user safety. Furthermore, governments increasingly offer subsidies and incentives to accelerate smart agriculture adoption, reflecting policy objectives toward food security and sustainability. Environmental regulations covering ewaste and energy efficiency also impact device design and disposal. Interoperability and standardization initiatives are emerging, aiming to foster seamless integration across diverse platforms, while intellectual property rights for AI algorithms and data ownership remain key policy discussions, influencing innovation and market dynamics globally.

What New Technologies are Shaping Global Smart Agriculture Devices Market?

The global smart agriculture devices market thrives on a wave of transformative innovations. Artificial intelligence and machine learning are driving predictive analytics for optimal crop yield, disease identification, and pest management, enhancing farm decision making. Advanced IoT sensors provide real time granular data on soil moisture, nutrient levels, and microclimates, enabling hyper precision irrigation and fertilization. Robotics and autonomous systems, from smart tractors to aerial drones, are automating critical tasks like planting, spraying, and harvesting, dramatically improving efficiency and reducing labor costs. Edge computing facilitates faster data processing directly on devices, enabling immediate responses. Furthermore, satellite imagery and remote sensing offer comprehensive field oversight, while blockchain technology promises enhanced supply chain transparency and traceability. These integrated technologies collectively empower farmers with unparalleled control and intelligence.

Global Smart Agriculture Devices Market Regional Analysis

Global Smart Agriculture Devices Market

Trends, by Region

Largest Market
Fastest Growing Market
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38.2%

North America Market
Revenue Share, 2025

Source:
www.makdatainsights.com

Dominant Region

North America · 38.2% share

North America dominates the Global Smart Agriculture Devices Market, holding a significant 38.2% market share. This dominance is driven by widespread adoption of precision farming techniques and a robust technological infrastructure. Farmers in the region readily embrace advanced solutions like autonomous tractors, drones, and IoT sensors to optimize yields and manage resources efficiently. Government initiatives and substantial investments in agricultural technology further bolster this leading position. A strong research and development ecosystem contributes to continuous innovation, ensuring North America remains at the forefront of smart agriculture device integration. The presence of key industry players and a mature market for agricultural machinery also contribute to its unparalleled market leadership.

Fastest Growing Region

Asia Pacific · 14.2% CAGR

Asia Pacific emerges as the fastest growing region in the global smart agriculture devices market, projected to expand at a compelling 14.2% CAGR from 2026 to 2035. This remarkable growth is fueled by several converging factors. A rapidly expanding population necessitates increased food production, driving demand for efficient farming techniques. Governments across the region are actively promoting agricultural modernization through supportive policies and subsidies for technology adoption. Furthermore, a growing awareness among farmers regarding the benefits of smart devices, such as enhanced yields and reduced operational costs, is accelerating their integration. The rising penetration of internet connectivity and affordable smartphone usage also empowers greater access to and utilization of these advanced agricultural solutions.

Top Countries Overview

The U.S. leads the North American smart agriculture devices market, driven by tech-savvy farmers and large-scale operations. It heavily invests in precision farming, IoT, and data analytics to optimize yields and reduce resource consumption. While facing challenges like high initial costs and broadband access gaps, government initiatives and private sector innovations position the U.S. as a key player in advancing global smart agriculture.

China is a dominant force in the global smart agriculture devices market, driven by rapid technological adoption and government support. It's a key manufacturing hub for sensors, drones, and robotics, catering to both domestic and international demand. The country's expanding agricultural sector and focus on food security further fuel its growth, positioning it as a significant innovator and consumer in this evolving landscape.

India's burgeoning smart agriculture devices market is driven by tech-savvy farmers and government initiatives. While adoption is growing, it faces challenges like high initial costs and limited digital literacy. The market for drones, IoT sensors, and AI-powered systems is expanding, attracting global players. India's unique agricultural landscape offers significant opportunities for smart farming solutions to boost productivity and sustainability, positioning it as a key developing market.

Impact of Geopolitical and Macroeconomic Factors

Geopolitical tensions influence global supply chains for smart agriculture device components, particularly semiconductors and sensors. Trade disputes and protectionist policies can disrupt manufacturing and increase costs, impacting market accessibility and device affordability for farmers in developing nations. Geopolitical stability or conflict in major agricultural regions can accelerate or delay technology adoption, with food security concerns potentially driving governmental support for smart agriculture initiatives or diverting resources towards conflict resolution. Regulatory frameworks regarding data privacy and cross border data flow also pose geopolitical challenges, as different nations adopt varying approaches to agricultural data governance.

Macroeconomic factors significantly shape the smart agriculture devices market. Inflationary pressures increase input costs for manufacturers and reduce farmers disposable income for technology investments. Interest rate hikes impact financing for large scale agricultural technology projects. Economic downturns dampen overall demand, while periods of growth encourage investment in productivity enhancing technologies. Government subsidies and agricultural policies aimed at promoting sustainability, climate resilience, and food security create market opportunities by incentivizing the adoption of smart farming solutions, particularly in regions facing acute environmental or food supply challenges.

Recent Developments

  • March 2025

    John Deere announced a strategic partnership with PrecisionHawk to integrate advanced drone data analytics directly into their farm management software. This collaboration aims to provide farmers with more actionable insights for crop health and yield optimization through a unified platform.

  • February 2025

    Farmers Edge launched a new AI-powered predictive disease modeling tool within their digital agriculture platform. This product leverages machine learning and localized weather data to provide early warnings of potential crop diseases, enabling proactive management and reduced input costs.

  • April 2025

    Taranis acquired Drones for Agriculture, a leading provider of high-resolution aerial imagery and drone-based crop scouting services. This acquisition strengthens Taranis's market position by expanding its service offerings and geographical reach, particularly in the precision aerial data segment.

  • January 2025

    AG Leader Technology introduced a new series of autonomous precision planters designed for small to medium-sized farms. These devices feature enhanced GPS guidance and variable-rate planting capabilities, aiming to improve efficiency and reduce labor requirements for a broader range of agricultural operations.

  • May 2025

    CNH Industrial announced a strategic initiative to invest heavily in developing a new ecosystem for interconnected smart agriculture devices, branded 'Nexus Agri'. This initiative focuses on fostering interoperability between various sensors, machinery, and data platforms to create a more integrated farm management solution.

Key Players Analysis

John Deere spearheads the smart agriculture devices market with its robust machinery and integrated precision agriculture solutions. Taranis specializes in AI powered imagery for crop health monitoring, while Drones for Agriculture and PrecisionHawk leverage drone technology for field mapping and data collection. Farmers Edge and AG Leader Technology offer comprehensive farm management platforms and guidance systems. CNH Industrial and Agjunction compete directly with John Deere in farm equipment and technology. Zedx and Sentera focus on sensor technology and advanced analytics, driving market growth through innovative data insights and improved operational efficiency for farmers globally.

List of Key Companies:

  1. John Deere
  2. Taranis
  3. Drones for Agriculture
  4. Farmers Edge
  5. AG Leader Technology
  6. PrecisionHawk
  7. CNH Industrial
  8. Agjunction
  9. Zedx
  10. Sentera
  11. Topcon
  12. BASF
  13. Trimble
  14. Aphios
  15. Bayer

Report Scope and Segmentation

Report ComponentDescription
Market Size (2025)USD 26.8 Billion
Forecast Value (2035)USD 75.4 Billion
CAGR (2026-2035)13.8%
Base Year2025
Historical Period2020-2025
Forecast Period2026-2035
Segments Covered
  • By Device Type:
    • •Sensors
    • •Drones
    • •Automated Irrigation Systems
    • •Livestock Monitoring Devices
    • •Soil Monitoring Devices
  • By Technology:
    • •IoT Enabled Devices
    • •Artificial Intelligence
    • •Big Data Analytics
    • •Robotics
    • •Cloud Computing
  • By Application:
    • •Crop Management
    • •Precision Agriculture
    • •Weather Forecasting
    • •Livestock Management
    • •Supply Chain Management
  • By End Use:
    • •Farmers
    • •Agricultural Cooperatives
    • •Research Institutions
    • •Government Bodies
    • •Agri-tech Companies
Regional Analysis
  • North America
  • • United States
  • • Canada
  • Europe
  • • Germany
  • • France
  • • United Kingdom
  • • Spain
  • • Italy
  • • Russia
  • • Rest of Europe
  • Asia-Pacific
  • • China
  • • India
  • • Japan
  • • South Korea
  • • New Zealand
  • • Singapore
  • • Vietnam
  • • Indonesia
  • • Rest of Asia-Pacific
  • Latin America
  • • Brazil
  • • Mexico
  • • Rest of Latin America
  • Middle East and Africa
  • • South Africa
  • • Saudi Arabia
  • • UAE
  • • Rest of Middle East and Africa

Table of Contents:

1. Introduction
1.1. Objectives of Research
1.2. Market Definition
1.3. Market Scope
1.4. Research Methodology
2. Executive Summary
3. Market Dynamics
3.1. Market Drivers
3.2. Market Restraints
3.3. Market Opportunities
3.4. Market Trends
4. Market Factor Analysis
4.1. Porter's Five Forces Model Analysis
4.1.1. Rivalry among Existing Competitors
4.1.2. Bargaining Power of Buyers
4.1.3. Bargaining Power of Suppliers
4.1.4. Threat of Substitute Products or Services
4.1.5. Threat of New Entrants
4.2. PESTEL Analysis
4.2.1. Political Factors
4.2.2. Economic & Social Factors
4.2.3. Technological Factors
4.2.4. Environmental Factors
4.2.5. Legal Factors
4.3. Supply and Value Chain Assessment
4.4. Regulatory and Policy Environment Review
4.5. Market Investment Attractiveness Index
4.6. Technological Innovation and Advancement Review
4.7. Impact of Geopolitical and Macroeconomic Factors
4.8. Trade Dynamics: Import-Export Assessment (Where Applicable)
5. Global Smart Agriculture Devices Market Analysis, Insights 2020 to 2025 and Forecast 2026-2035
5.1. Market Analysis, Insights and Forecast, 2020-2035, By Device Type
5.1.1. Sensors
5.1.2. Drones
5.1.3. Automated Irrigation Systems
5.1.4. Livestock Monitoring Devices
5.1.5. Soil Monitoring Devices
5.2. Market Analysis, Insights and Forecast, 2020-2035, By Technology
5.2.1. IoT Enabled Devices
5.2.2. Artificial Intelligence
5.2.3. Big Data Analytics
5.2.4. Robotics
5.2.5. Cloud Computing
5.3. Market Analysis, Insights and Forecast, 2020-2035, By Application
5.3.1. Crop Management
5.3.2. Precision Agriculture
5.3.3. Weather Forecasting
5.3.4. Livestock Management
5.3.5. Supply Chain Management
5.4. Market Analysis, Insights and Forecast, 2020-2035, By End Use
5.4.1. Farmers
5.4.2. Agricultural Cooperatives
5.4.3. Research Institutions
5.4.4. Government Bodies
5.4.5. Agri-tech Companies
5.5. Market Analysis, Insights and Forecast, 2020-2035, By Region
5.5.1. North America
5.5.2. Europe
5.5.3. Asia-Pacific
5.5.4. Latin America
5.5.5. Middle East and Africa
6. North America Smart Agriculture Devices Market Analysis, Insights 2020 to 2025 and Forecast 2026-2035
6.1. Market Analysis, Insights and Forecast, 2020-2035, By Device Type
6.1.1. Sensors
6.1.2. Drones
6.1.3. Automated Irrigation Systems
6.1.4. Livestock Monitoring Devices
6.1.5. Soil Monitoring Devices
6.2. Market Analysis, Insights and Forecast, 2020-2035, By Technology
6.2.1. IoT Enabled Devices
6.2.2. Artificial Intelligence
6.2.3. Big Data Analytics
6.2.4. Robotics
6.2.5. Cloud Computing
6.3. Market Analysis, Insights and Forecast, 2020-2035, By Application
6.3.1. Crop Management
6.3.2. Precision Agriculture
6.3.3. Weather Forecasting
6.3.4. Livestock Management
6.3.5. Supply Chain Management
6.4. Market Analysis, Insights and Forecast, 2020-2035, By End Use
6.4.1. Farmers
6.4.2. Agricultural Cooperatives
6.4.3. Research Institutions
6.4.4. Government Bodies
6.4.5. Agri-tech Companies
6.5. Market Analysis, Insights and Forecast, 2020-2035, By Country
6.5.1. United States
6.5.2. Canada
7. Europe Smart Agriculture Devices Market Analysis, Insights 2020 to 2025 and Forecast 2026-2035
7.1. Market Analysis, Insights and Forecast, 2020-2035, By Device Type
7.1.1. Sensors
7.1.2. Drones
7.1.3. Automated Irrigation Systems
7.1.4. Livestock Monitoring Devices
7.1.5. Soil Monitoring Devices
7.2. Market Analysis, Insights and Forecast, 2020-2035, By Technology
7.2.1. IoT Enabled Devices
7.2.2. Artificial Intelligence
7.2.3. Big Data Analytics
7.2.4. Robotics
7.2.5. Cloud Computing
7.3. Market Analysis, Insights and Forecast, 2020-2035, By Application
7.3.1. Crop Management
7.3.2. Precision Agriculture
7.3.3. Weather Forecasting
7.3.4. Livestock Management
7.3.5. Supply Chain Management
7.4. Market Analysis, Insights and Forecast, 2020-2035, By End Use
7.4.1. Farmers
7.4.2. Agricultural Cooperatives
7.4.3. Research Institutions
7.4.4. Government Bodies
7.4.5. Agri-tech Companies
7.5. Market Analysis, Insights and Forecast, 2020-2035, By Country
7.5.1. Germany
7.5.2. France
7.5.3. United Kingdom
7.5.4. Spain
7.5.5. Italy
7.5.6. Russia
7.5.7. Rest of Europe
8. Asia-Pacific Smart Agriculture Devices Market Analysis, Insights 2020 to 2025 and Forecast 2026-2035
8.1. Market Analysis, Insights and Forecast, 2020-2035, By Device Type
8.1.1. Sensors
8.1.2. Drones
8.1.3. Automated Irrigation Systems
8.1.4. Livestock Monitoring Devices
8.1.5. Soil Monitoring Devices
8.2. Market Analysis, Insights and Forecast, 2020-2035, By Technology
8.2.1. IoT Enabled Devices
8.2.2. Artificial Intelligence
8.2.3. Big Data Analytics
8.2.4. Robotics
8.2.5. Cloud Computing
8.3. Market Analysis, Insights and Forecast, 2020-2035, By Application
8.3.1. Crop Management
8.3.2. Precision Agriculture
8.3.3. Weather Forecasting
8.3.4. Livestock Management
8.3.5. Supply Chain Management
8.4. Market Analysis, Insights and Forecast, 2020-2035, By End Use
8.4.1. Farmers
8.4.2. Agricultural Cooperatives
8.4.3. Research Institutions
8.4.4. Government Bodies
8.4.5. Agri-tech Companies
8.5. Market Analysis, Insights and Forecast, 2020-2035, By Country
8.5.1. China
8.5.2. India
8.5.3. Japan
8.5.4. South Korea
8.5.5. New Zealand
8.5.6. Singapore
8.5.7. Vietnam
8.5.8. Indonesia
8.5.9. Rest of Asia-Pacific
9. Latin America Smart Agriculture Devices Market Analysis, Insights 2020 to 2025 and Forecast 2026-2035
9.1. Market Analysis, Insights and Forecast, 2020-2035, By Device Type
9.1.1. Sensors
9.1.2. Drones
9.1.3. Automated Irrigation Systems
9.1.4. Livestock Monitoring Devices
9.1.5. Soil Monitoring Devices
9.2. Market Analysis, Insights and Forecast, 2020-2035, By Technology
9.2.1. IoT Enabled Devices
9.2.2. Artificial Intelligence
9.2.3. Big Data Analytics
9.2.4. Robotics
9.2.5. Cloud Computing
9.3. Market Analysis, Insights and Forecast, 2020-2035, By Application
9.3.1. Crop Management
9.3.2. Precision Agriculture
9.3.3. Weather Forecasting
9.3.4. Livestock Management
9.3.5. Supply Chain Management
9.4. Market Analysis, Insights and Forecast, 2020-2035, By End Use
9.4.1. Farmers
9.4.2. Agricultural Cooperatives
9.4.3. Research Institutions
9.4.4. Government Bodies
9.4.5. Agri-tech Companies
9.5. Market Analysis, Insights and Forecast, 2020-2035, By Country
9.5.1. Brazil
9.5.2. Mexico
9.5.3. Rest of Latin America
10. Middle East and Africa Smart Agriculture Devices Market Analysis, Insights 2020 to 2025 and Forecast 2026-2035
10.1. Market Analysis, Insights and Forecast, 2020-2035, By Device Type
10.1.1. Sensors
10.1.2. Drones
10.1.3. Automated Irrigation Systems
10.1.4. Livestock Monitoring Devices
10.1.5. Soil Monitoring Devices
10.2. Market Analysis, Insights and Forecast, 2020-2035, By Technology
10.2.1. IoT Enabled Devices
10.2.2. Artificial Intelligence
10.2.3. Big Data Analytics
10.2.4. Robotics
10.2.5. Cloud Computing
10.3. Market Analysis, Insights and Forecast, 2020-2035, By Application
10.3.1. Crop Management
10.3.2. Precision Agriculture
10.3.3. Weather Forecasting
10.3.4. Livestock Management
10.3.5. Supply Chain Management
10.4. Market Analysis, Insights and Forecast, 2020-2035, By End Use
10.4.1. Farmers
10.4.2. Agricultural Cooperatives
10.4.3. Research Institutions
10.4.4. Government Bodies
10.4.5. Agri-tech Companies
10.5. Market Analysis, Insights and Forecast, 2020-2035, By Country
10.5.1. South Africa
10.5.2. Saudi Arabia
10.5.3. UAE
10.5.4. Rest of Middle East and Africa
11. Competitive Analysis and Company Profiles
11.1. Market Share of Key Players
11.1.1. Global Company Market Share
11.1.2. Regional/Sub-Regional Company Market Share
11.2. Company Profiles
11.2.1. John Deere
11.2.1.1. Business Overview
11.2.1.2. Products Offering
11.2.1.3. Financial Insights (Based on Availability)
11.2.1.4. Company Market Share Analysis
11.2.1.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.1.6. Strategy
11.2.1.7. SWOT Analysis
11.2.2. Taranis
11.2.2.1. Business Overview
11.2.2.2. Products Offering
11.2.2.3. Financial Insights (Based on Availability)
11.2.2.4. Company Market Share Analysis
11.2.2.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.2.6. Strategy
11.2.2.7. SWOT Analysis
11.2.3. Drones for Agriculture
11.2.3.1. Business Overview
11.2.3.2. Products Offering
11.2.3.3. Financial Insights (Based on Availability)
11.2.3.4. Company Market Share Analysis
11.2.3.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.3.6. Strategy
11.2.3.7. SWOT Analysis
11.2.4. Farmers Edge
11.2.4.1. Business Overview
11.2.4.2. Products Offering
11.2.4.3. Financial Insights (Based on Availability)
11.2.4.4. Company Market Share Analysis
11.2.4.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.4.6. Strategy
11.2.4.7. SWOT Analysis
11.2.5. AG Leader Technology
11.2.5.1. Business Overview
11.2.5.2. Products Offering
11.2.5.3. Financial Insights (Based on Availability)
11.2.5.4. Company Market Share Analysis
11.2.5.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.5.6. Strategy
11.2.5.7. SWOT Analysis
11.2.6. PrecisionHawk
11.2.6.1. Business Overview
11.2.6.2. Products Offering
11.2.6.3. Financial Insights (Based on Availability)
11.2.6.4. Company Market Share Analysis
11.2.6.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.6.6. Strategy
11.2.6.7. SWOT Analysis
11.2.7. CNH Industrial
11.2.7.1. Business Overview
11.2.7.2. Products Offering
11.2.7.3. Financial Insights (Based on Availability)
11.2.7.4. Company Market Share Analysis
11.2.7.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.7.6. Strategy
11.2.7.7. SWOT Analysis
11.2.8. Agjunction
11.2.8.1. Business Overview
11.2.8.2. Products Offering
11.2.8.3. Financial Insights (Based on Availability)
11.2.8.4. Company Market Share Analysis
11.2.8.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.8.6. Strategy
11.2.8.7. SWOT Analysis
11.2.9. Zedx
11.2.9.1. Business Overview
11.2.9.2. Products Offering
11.2.9.3. Financial Insights (Based on Availability)
11.2.9.4. Company Market Share Analysis
11.2.9.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.9.6. Strategy
11.2.9.7. SWOT Analysis
11.2.10. Sentera
11.2.10.1. Business Overview
11.2.10.2. Products Offering
11.2.10.3. Financial Insights (Based on Availability)
11.2.10.4. Company Market Share Analysis
11.2.10.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.10.6. Strategy
11.2.10.7. SWOT Analysis
11.2.11. Topcon
11.2.11.1. Business Overview
11.2.11.2. Products Offering
11.2.11.3. Financial Insights (Based on Availability)
11.2.11.4. Company Market Share Analysis
11.2.11.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.11.6. Strategy
11.2.11.7. SWOT Analysis
11.2.12. BASF
11.2.12.1. Business Overview
11.2.12.2. Products Offering
11.2.12.3. Financial Insights (Based on Availability)
11.2.12.4. Company Market Share Analysis
11.2.12.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.12.6. Strategy
11.2.12.7. SWOT Analysis
11.2.13. Trimble
11.2.13.1. Business Overview
11.2.13.2. Products Offering
11.2.13.3. Financial Insights (Based on Availability)
11.2.13.4. Company Market Share Analysis
11.2.13.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.13.6. Strategy
11.2.13.7. SWOT Analysis
11.2.14. Aphios
11.2.14.1. Business Overview
11.2.14.2. Products Offering
11.2.14.3. Financial Insights (Based on Availability)
11.2.14.4. Company Market Share Analysis
11.2.14.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.14.6. Strategy
11.2.14.7. SWOT Analysis
11.2.15. Bayer
11.2.15.1. Business Overview
11.2.15.2. Products Offering
11.2.15.3. Financial Insights (Based on Availability)
11.2.15.4. Company Market Share Analysis
11.2.15.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.15.6. Strategy
11.2.15.7. SWOT Analysis

List of Figures

List of Tables

Table 1: Global Smart Agriculture Devices Market Revenue (USD billion) Forecast, by Device Type, 2020-2035

Table 2: Global Smart Agriculture Devices Market Revenue (USD billion) Forecast, by Technology, 2020-2035

Table 3: Global Smart Agriculture Devices Market Revenue (USD billion) Forecast, by Application, 2020-2035

Table 4: Global Smart Agriculture Devices Market Revenue (USD billion) Forecast, by End Use, 2020-2035

Table 5: Global Smart Agriculture Devices Market Revenue (USD billion) Forecast, by Region, 2020-2035

Table 6: North America Smart Agriculture Devices Market Revenue (USD billion) Forecast, by Device Type, 2020-2035

Table 7: North America Smart Agriculture Devices Market Revenue (USD billion) Forecast, by Technology, 2020-2035

Table 8: North America Smart Agriculture Devices Market Revenue (USD billion) Forecast, by Application, 2020-2035

Table 9: North America Smart Agriculture Devices Market Revenue (USD billion) Forecast, by End Use, 2020-2035

Table 10: North America Smart Agriculture Devices Market Revenue (USD billion) Forecast, by Country, 2020-2035

Table 11: Europe Smart Agriculture Devices Market Revenue (USD billion) Forecast, by Device Type, 2020-2035

Table 12: Europe Smart Agriculture Devices Market Revenue (USD billion) Forecast, by Technology, 2020-2035

Table 13: Europe Smart Agriculture Devices Market Revenue (USD billion) Forecast, by Application, 2020-2035

Table 14: Europe Smart Agriculture Devices Market Revenue (USD billion) Forecast, by End Use, 2020-2035

Table 15: Europe Smart Agriculture Devices Market Revenue (USD billion) Forecast, by Country/ Sub-region, 2020-2035

Table 16: Asia Pacific Smart Agriculture Devices Market Revenue (USD billion) Forecast, by Device Type, 2020-2035

Table 17: Asia Pacific Smart Agriculture Devices Market Revenue (USD billion) Forecast, by Technology, 2020-2035

Table 18: Asia Pacific Smart Agriculture Devices Market Revenue (USD billion) Forecast, by Application, 2020-2035

Table 19: Asia Pacific Smart Agriculture Devices Market Revenue (USD billion) Forecast, by End Use, 2020-2035

Table 20: Asia Pacific Smart Agriculture Devices Market Revenue (USD billion) Forecast, by Country/ Sub-region, 2020-2035

Table 21: Latin America Smart Agriculture Devices Market Revenue (USD billion) Forecast, by Device Type, 2020-2035

Table 22: Latin America Smart Agriculture Devices Market Revenue (USD billion) Forecast, by Technology, 2020-2035

Table 23: Latin America Smart Agriculture Devices Market Revenue (USD billion) Forecast, by Application, 2020-2035

Table 24: Latin America Smart Agriculture Devices Market Revenue (USD billion) Forecast, by End Use, 2020-2035

Table 25: Latin America Smart Agriculture Devices Market Revenue (USD billion) Forecast, by Country/ Sub-region, 2020-2035

Table 26: Middle East & Africa Smart Agriculture Devices Market Revenue (USD billion) Forecast, by Device Type, 2020-2035

Table 27: Middle East & Africa Smart Agriculture Devices Market Revenue (USD billion) Forecast, by Technology, 2020-2035

Table 28: Middle East & Africa Smart Agriculture Devices Market Revenue (USD billion) Forecast, by Application, 2020-2035

Table 29: Middle East & Africa Smart Agriculture Devices Market Revenue (USD billion) Forecast, by End Use, 2020-2035

Table 30: Middle East & Africa Smart Agriculture Devices Market Revenue (USD billion) Forecast, by Country/ Sub-region, 2020-2035

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