시장보고서
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2020053

디지털 농업 시장 : 시장 규모, 점유율 및 성장률 - 산업 분석, 유형별, 용도별, 지역별 인사이트 및 예측(2026-2034년)

Digital Farming Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2026-2034

발행일: | 리서치사: 구분자 Fortune Business Insights Pvt. Ltd. | 페이지 정보: 영문 150 Pages | 배송안내 : 문의

    
    
    



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디지털 농업 시장의 성장 요인

세계 디지털 농업 시장은 2025년 298억 5,000만 달러로 평가되었고, 2026년에는 335억 달러, 2034년에는 842억 2,000만 달러에 달할 것으로 예상되며, 2026-2034년 연평균 복합 성장률(CAGR) 12.2%의 견조한 성장세를 보일 것으로 예측됩니다. 성장세를 보이고 있습니다. 북미는 선진화된 농업 인프라와 높은 정밀농업 기술 보급률에 힘입어 2025년 39.3%의 점유율로 시장을 주도했습니다.

디지털 농업은 농업의 생산성을 향상시키기 위해 센서, 드론, 인공지능(AI), 클라우드 컴퓨팅 등 첨단 기술을 활용하는 것입니다. 이러한 솔루션을 통해 농부들은 토양 건강, 관개, 비료 사용, 작물 모니터링을 최적화하여 농장의 전반적인 효율성과 수확량을 향상시킬 수 있습니다.

시장 동향

시장을 형성하는 주요 트렌드 중 하나는 농업 분야에서의 AI 및 IoT 기술의 침투가 진행되고 있다는 점입니다. 스마트 센서와 커넥티드 디바이스가 토양 상태, 작물 생육 상황, 기상 패턴을 실시간으로 모니터링하는 데 널리 활용되고 있습니다. IoT 지원 시스템을 통해 농가는 원격으로 농장 운영을 관리할 수 있게 되어 의사결정과 업무 효율성이 향상되고 있습니다.

또한, 정부와 민간 조직은 디지털 농업을 추진하기 위한 노력을 시작하고 있습니다. 자동화된 농장 관리 시스템과 무인 운전 장비는 전통적인 농업 관행을 데이터 기반 운영으로 바꾸고 있습니다.

시장 성장 요인

이 시장의 주요 성장 요인은 원격 감지, 텔레매틱스, 통신 기술의 채택 확대에 있습니다. GPS, GIS, 드론 등의 기술은 작물의 상태에 대한 귀중한 정보를 제공하여 농부들이 병해충을 감지하고, 수확량을 모니터링하며, 자원을 효율적으로 관리할 수 있도록 돕고 있습니다.

클라우드 컴퓨팅과 데이터 분석은 농부들이 어디서나 농장 데이터에 접근하고 분석할 수 있게 함으로써 디지털 농업에서 중요한 역할을 하고 있습니다. 주요 기업들의 클라우드 기반 농업 플랫폼에 대한 투자 확대도 시장 성장을 더욱 촉진하고 있습니다.

또한, 세계 식량 수요 증가에 대응하기 위해 농업 생산성을 향상시켜야 할 필요성이 높아지면서 스마트 농업 솔루션의 도입이 증가하고 있습니다.

억제요인

견조한 성장이 예상되지만, 첨단 농업 장비의 높은 초기 비용으로 인해 시장은 문제에 직면해 있습니다. 자율주행 트랙터, 드론, 로봇 시스템에는 많은 투자가 필요하기 때문에 중소규모의 농가에서는 도입이 어려운 실정입니다.

또한, 유지관리 비용과 디지털 시스템 운영의 복잡성은 특히 개발도상국에서 도입을 제한하는 요인이 될 수 있습니다. 이러한 기술을 관리하기 위해 필요한 잦은 업데이트와 전문적인 기술 지식도 또 다른 장벽으로 작용하고 있습니다.

세분화 분석

인프라별:

토양 수분, 온도, 기상 조건을 추적하는 데 중요한 역할을 하는 센싱 모니터링 분야가 시장을 주도하고 있습니다. 한편, 클라우드 인프라에 대한 투자가 증가함에 따라 클라우드 데이터 처리 분야가 가장 높은 성장률을 보일 것으로 예측됩니다.

제품별:

농기계가 시장의 대부분을 차지하고 있지만, 드론과 로봇은 밭의 모니터링을 강화하고 노동력에 대한 의존도를 낮출 수 있다는 점에서 가장 높은 성장이 예상됩니다.

기술별:

AI/ML/NLP 기술은 예측 분석, 작물 모니터링, 자동화를 가능하게 하여 시장을 주도하고 있습니다. 또한, IoT는 농장의 실시간 모니터링에 있어서도 주목받고 있습니다.

용도별:

수확량 모니터링 및 매핑이 시장을 주도하고 있으며, 이는 농부들이 날씨와 토양 조건에 따라 적절한 작물을 선택할 수 있도록 돕습니다.

지역별 동향

북미는 2025년 119억 5,000만 달러로 시장을 주도할 것이며, 적극적인 기술 도입과 정부 지원에 힘입어 2026년에는 131억 6,000만 달러에 달할 것으로 예측됩니다.

아시아태평양은 인도, 중국 등의 국가에서 정부 주도의 노력이 증가함에 따라 2026년 73억 달러에 달하고, 가장 높은 성장률을 보일 것으로 예측됩니다.

유럽은 2025년 71억 6,000만 달러를 차지할 것으로 예상되며, 스마트 농업을 추진하는 EU의 프로그램에 힘입어 2026년에는 81억 4,000만 달러에 달할 것으로 전망됩니다.

중동 및 아프리카, 라틴아메리카 등의 지역에서도 스마트 기술 도입이 진행되고 있어 꾸준한 성장이 예상됩니다.

주요 기업

시장 주요 기업으로는 Deere &Company, Trimble, AGCO Corporation, Kubota, CNH Industrial, Bayer AG, IBM Corporation 등이 있습니다. 이들 기업은 시장에서의 입지를 강화하기 위해 파트너십, 제품 혁신, 연구개발에 집중하고 있습니다.

목차

제1장 서론

제2장 주요 요약

제3장 시장 역학

제4장 경쟁 구도

제5장 세계의 디지털 농업 시장 : 시장 규모 추정치·예측(2021-2034년)

제6장 북미 디지털 농업 시장 규모, 추정치·예측(2021-2034년)

제7장 유럽의 디지털 농업 시장 : 시장 규모 추정치·예측(2021-2034년)

제8장 아시아태평양의 디지털 농업 시장 규모, 추정치·예측(2021-2034년)

제9장 중동 및 아프리카의 디지털 농업 시장 : 시장 규모 추정치·예측(2021-2034년)

제10장 남미 디지털 농업 시장 : 시장 규모 추정치·예측(2021-2034년)

제11장 주요 10개사 기업 개요

LSH

Growth Factors of digital farming Market

The global digital farming market was valued at USD 29.85 billion in 2025 and is projected to grow to USD 33.5 billion in 2026, reaching USD 84.22 billion by 2034, exhibiting a robust CAGR of 12.2% during 2026-2034. North America dominated the market with a 39.3% share in 2025, driven by advanced agricultural infrastructure and high adoption of precision farming technologies.

Digital farming involves the use of advanced technologies such as sensors, drones, artificial intelligence (AI), and cloud computing to improve agricultural productivity. These solutions enable farmers to optimize soil health, irrigation, fertilizer usage, and crop monitoring, thereby enhancing overall farm efficiency and yield.

Market Trends

A key trend shaping the market is the increasing penetration of AI and IoT technologies in agriculture. Smart sensors and connected devices are being widely used to monitor soil conditions, crop health, and weather patterns in real time. IoT-enabled systems allow farmers to manage farm operations remotely, improving decision-making and operational efficiency.

Additionally, governments and private organizations are launching initiatives to promote digital agriculture. Automated farm management systems and driverless equipment are transforming traditional farming practices into data-driven operations.

Market Growth Drivers

The market is primarily driven by the growing adoption of remote sensing, telematics, and communication technologies. Technologies such as GPS, GIS, and drones provide valuable insights into crop conditions, enabling farmers to detect diseases, monitor yield, and manage resources efficiently.

Cloud computing and data analytics also play a crucial role in digital farming by allowing farmers to access and analyze farm data from anywhere. Increasing investments by key players in cloud-based agriculture platforms further support market growth.

Moreover, the need to improve agricultural productivity to meet rising global food demand is encouraging the adoption of smart farming solutions.

Restraining Factors

Despite strong growth prospects, the market faces challenges due to the high initial cost of advanced farming equipment. Automated tractors, drones, and robotic systems require significant investment, making them less accessible to small and medium-scale farmers.

Additionally, maintenance costs and the complexity of operating digital systems can limit adoption, especially in developing countries. Frequent updates and technical expertise required for managing these technologies further act as barriers.

Segmentation Analysis

By Infrastructure:

The sensing & monitoring segment dominates the market due to its importance in tracking soil moisture, temperature, and weather conditions. Meanwhile, cloud & data processing is expected to grow at the highest rate due to increasing investments in cloud infrastructure.

By Product:

Agricultural equipment holds a major market share, while drones and robots are expected to witness the highest growth due to their ability to enhance field monitoring and reduce labor dependency.

By Technology:

AI/ML/NLP technologies dominate the market as they enable predictive analysis, crop monitoring, and automation. IoT is also gaining traction for real-time farm monitoring.

By Application:

Yield monitoring and mapping lead the market as they help farmers select suitable crops based on weather and soil conditions.

Regional Insights

North America led the market with USD 11.95 billion in 2025 and is projected to reach USD 13.16 billion in 2026, driven by strong technological adoption and government support.

Asia Pacific is expected to witness the highest growth, reaching USD 7.3 billion in 2026, fueled by increasing government initiatives in countries such as India and China.

Europe accounted for USD 7.16 billion in 2025 and is projected to reach USD 8.14 billion in 2026, supported by EU programs promoting smart farming.

Regions such as the Middle East & Africa and Latin America are also experiencing steady growth due to rising adoption of smart technologies.

Key Companies

Major players in the market include Deere & Company, Trimble, AGCO Corporation, Kubota Corporation, CNH Industrial, Bayer AG, and IBM Corporation. These companies are focusing on partnerships, product innovation, and R&D to strengthen their market position.

Conclusion

The digital farming market is undergoing rapid transformation driven by technological advancements, increasing food demand, and the need for sustainable agriculture. With market size expected to grow from USD 29.85 billion in 2025 to USD 84.22 billion by 2034, the industry presents significant growth opportunities. While high costs and technical complexities remain challenges, continuous innovation, government support, and rising awareness are expected to accelerate adoption globally, making digital farming a cornerstone of future agriculture.

Segmentation By Infrastructure

  • Sensing & Monitoring
    • Sensors
    • Cameras
  • Communication Technology
    • Short Range
    • Medium Range
    • Long Range
  • Cloud & Data Processing
  • Telematics/Positioning
    • GPS/GNSS
    • GIS
  • End-Use Components
    • Hardware/Systems
    • Software/Apps

By Technology

  • AI/ML/NLP
  • IoT
  • Blockchain
  • Big Data & Analytics

By Product

  • Agricultural Equipment
  • Drones/Robots/Unmanned Aerial Vehicles

By Application

  • Yield Monitoring and Mapping
  • Smart Crop Monitoring
  • Soil & Fertilizer Management
  • Smart Irrigation Monitoring System
  • Weather Forecasting
  • Others (Farm Labor Management, Inventory Management)

By Region

  • North America (By Infrastructure, By Technology, By Product, By Application, and By Country)
    • U.S. (By Application)
    • Canada (By Application)
    • Mexico (By Application)
  • Europe (By Infrastructure, By Technology, By Product, By Application, and By Country)
    • U.K. (By Application)
    • Germany (By Application)
    • France (By Application)
    • Italy (By Application)
    • Spain (By Application)
    • Benelux (By Application)
    • Nordics (By Application)
    • Rest of Europe
  • Asia Pacific (By Infrastructure, By Technology, By Product, By Application, and By Country)
    • China (By Application)
    • Japan (By Application)
    • India (By Application)
    • South Korea (By Application)
    • ASEAN (By Application)
    • Oceania (By Application)
    • Rest of Asia Pacific
  • Middle East & Africa (By Infrastructure, By Technology, By Product, By Application, and By Country)
    • Turkey (By Application)
    • Israel (By Application)
    • GCC (By Application)
    • South Africa (By Application)
    • North Africa (By Application)
    • Rest of the Middle East & Africa
  • South America (By Infrastructure, By Technology, By Product, By Application, and By Country)
    • Brazil (By Application)
    • Argentina (By Application)
    • Rest of South America

Table of Content

1. Introduction

  • 1.1. Definition, By Segment
  • 1.2. Research Methodology/Approach
  • 1.3. Data Sources

2. Executive Summary

3. Market Dynamics

  • 3.1. Macro and Micro Economic Indicators
  • 3.2. Drivers, Restraints, Opportunities and Trends

4. Competition Landscape

  • 4.1. Business Strategies Adopted by Key Players
  • 4.2. Consolidated SWOT Analysis of Key Players
  • 4.3. Global Digital Farming Key Players Market Share/Ranking, 2025

5. Global Digital Farming Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 5.1. Key Findings
  • 5.2. By Infrastructure (USD)
    • 5.2.1. Sensing & Monitoring
      • 5.2.1.1. Sensors
      • 5.2.1.2. Cameras
    • 5.2.2. Communication Technology
      • 5.2.2.1. Short Range
      • 5.2.2.2. Medium Range
      • 5.2.2.3. Long Range
    • 5.2.3. Cloud and Data Processing
    • 5.2.4. Telematics/Positioning
      • 5.2.4.1. GPS/GNSS
      • 5.2.4.2. GIS
    • 5.2.5. End-use Components
      • 5.2.5.1. Hardware/Systems
      • 5.2.5.2. Software/Apps
  • 5.3. By Technology (USD)
    • 5.3.1. AI/ML/NLP
    • 5.3.2. IoT
    • 5.3.3. Blockchain
    • 5.3.4. Big Data & Analytics
  • 5.4. By Product (USD)
    • 5.4.1. Agricultural Equipment's
    • 5.4.2. Drones/Robots/Unmanned Aerial Vehicles
  • 5.5. By Application (USD)
    • 5.5.1. Yield Monitoring and Mapping
    • 5.5.2. Smart Crop Monitoring
    • 5.5.3. Soil & Fertilizer Management
    • 5.5.4. Smart Irrigation Monitoring System
    • 5.5.5. Weather Forecasting
    • 5.5.6. Others (Farm Labor Management, Inventory Management)
  • 5.6. By Region (USD)
    • 5.6.1. North America
    • 5.6.2. Europe
    • 5.6.3. Asia Pacific
    • 5.6.4. Middle East & Africa
    • 5.6.5. South America

6. North America Digital Farming Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 6.1. Key Findings
  • 6.2. By Infrastructure (USD)
    • 6.2.1. Sensing & Monitoring
      • 6.2.1.1. Sensors
      • 6.2.1.2. Cameras
    • 6.2.2. Communication Technology
      • 6.2.2.1. Short Range
      • 6.2.2.2. Medium Range
      • 6.2.2.3. Long Range
    • 6.2.3. Cloud and Data Processing
    • 6.2.4. Telematics/Positioning
      • 6.2.4.1. GPS/GNSS
      • 6.2.4.2. GIS
    • 6.2.5. End-use Components
      • 6.2.5.1. Hardware/Systems
      • 6.2.5.2. Software/Apps
  • 6.3. By Technology (USD)
    • 6.3.1. AI/ML/NLP
    • 6.3.2. IoT
    • 6.3.3. Blockchain
    • 6.3.4. Big Data & Analytics
  • 6.4. By Product (USD)
    • 6.4.1. Agricultural Equipment's
    • 6.4.2. Drones/Robots/Unmanned Aerial Vehicles
  • 6.5. By Application (USD)
    • 6.5.1. Yield Monitoring and Mapping
    • 6.5.2. Smart Crop Monitoring
    • 6.5.3. Soil & Fertilizer Management
    • 6.5.4. Smart Irrigation Monitoring System
    • 6.5.5. Weather Forecasting
    • 6.5.6. Others
  • 6.6. By Country (USD)
    • 6.6.1. United States
      • 6.6.1.1. By Application
    • 6.6.2. Canada
      • 6.6.2.1. By Application
    • 6.6.3. Mexico
      • 6.6.3.1. By Application

7. Europe Digital Farming Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 7.1. Key Findings
  • 7.2. By Infrastructure (USD)
    • 7.2.1. Sensing & Monitoring
      • 7.2.1.1. Sensors
      • 7.2.1.2. Cameras
    • 7.2.2. Communication Technology
      • 7.2.2.1. Short Range
      • 7.2.2.2. Medium Range
      • 7.2.2.3. Long Range
    • 7.2.3. Cloud and Data Processing
    • 7.2.4. Telematics/Positioning
      • 7.2.4.1. GPS/GNSS
      • 7.2.4.2. GIS
    • 7.2.5. End-use Components
      • 7.2.5.1. Hardware/Systems
      • 7.2.5.2. Software/Apps
  • 7.3. By Technology (USD)
    • 7.3.1. AI/ML/NLP
    • 7.3.2. IoT
    • 7.3.3. Blockchain
    • 7.3.4. Big Data & Analytics
  • 7.4. By Product (USD)
    • 7.4.1. Agricultural Equipment's
    • 7.4.2. Drones/Robots/Unmanned Aerial Vehicles
  • 7.5. By Application (USD)
    • 7.5.1. Yield Monitoring and Mapping
    • 7.5.2. Smart Crop Monitoring
    • 7.5.3. Soil & Fertilizer Management
    • 7.5.4. Smart Irrigation Monitoring System
    • 7.5.5. Weather Forecasting
    • 7.5.6. Others
  • 7.6. By Country (USD)
    • 7.6.1. United Kingdom
      • 7.6.1.1. By Application
    • 7.6.2. Germany
      • 7.6.2.1. By Application
    • 7.6.3. France
      • 7.6.3.1. By Application
    • 7.6.4. Italy
      • 7.6.4.1. By Application
    • 7.6.5. Spain
      • 7.6.5.1. By Application
    • 7.6.6. Russia
      • 7.6.6.1. By Application
    • 7.6.7. Benelux
      • 7.6.7.1. By Application
    • 7.6.8. Nordics
      • 7.6.8.1. By Application
    • 7.6.9. Rest of Europe

8. Asia Pacific Digital Farming Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 8.1. Key Findings
  • 8.2. By Infrastructure (USD)
    • 8.2.1. Sensing & Monitoring
      • 8.2.1.1. Sensors
      • 8.2.1.2. Cameras
    • 8.2.2. Communication Technology
      • 8.2.2.1. Short Range
      • 8.2.2.2. Medium Range
      • 8.2.2.3. Long Range
    • 8.2.3. Cloud and Data Processing
    • 8.2.4. Telematics/Positioning
      • 8.2.4.1. GPS/GNSS
      • 8.2.4.2. GIS
    • 8.2.5. End-use Components
      • 8.2.5.1. Hardware/Systems
      • 8.2.5.2. Software/Apps
  • 8.3. By Technology (USD)
    • 8.3.1. AI/ML/NLP
    • 8.3.2. IoT
    • 8.3.3. Blockchain
    • 8.3.4. Big Data & Analytics
  • 8.4. By Product (USD)
    • 8.4.1. Agricultural Equipment's
    • 8.4.2. Drones/Robots/Unmanned Aerial Vehicles
  • 8.5. By Application (USD)
    • 8.5.1. Yield Monitoring and Mapping
    • 8.5.2. Smart Crop Monitoring
    • 8.5.3. Soil & Fertilizer Management
    • 8.5.4. Smart Irrigation Monitoring System
    • 8.5.5. Weather Forecasting
    • 8.5.6. Others
  • 8.6. By Country (USD)
    • 8.6.1. China
      • 8.6.1.1. By Application
    • 8.6.2. India
      • 8.6.2.1. By Application
    • 8.6.3. Japan
      • 8.6.3.1. By Application
    • 8.6.4. South Korea
      • 8.6.4.1. By Application
    • 8.6.5. ASEAN
      • 8.6.5.1. By Application
    • 8.6.6. Oceania
      • 8.6.6.1. By Application
    • 8.6.7. Rest of Asia Pacific

9. Middle East & Africa Digital Farming Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 9.1. Key Findings
  • 9.2. By Infrastructure (USD)
    • 9.2.1. Sensing & Monitoring
      • 9.2.1.1. Sensors
      • 9.2.1.2. Cameras
    • 9.2.2. Communication Technology
      • 9.2.2.1. Short Range
      • 9.2.2.2. Medium Range
      • 9.2.2.3. Long Range
    • 9.2.3. Cloud and Data Processing
    • 9.2.4. Telematics/Positioning
      • 9.2.4.1. GPS/GNSS
      • 9.2.4.2. GIS
    • 9.2.5. End-use Components
      • 9.2.5.1. Hardware/Systems
      • 9.2.5.2. Software/Apps
  • 9.3. By Technology (USD)
    • 9.3.1. AI/ML/NLP
    • 9.3.2. IoT
    • 9.3.3. Blockchain
    • 9.3.4. Big Data & Analytics
  • 9.4. By Product (USD)
    • 9.4.1. Agricultural Equipment's
    • 9.4.2. Drones/Robots/Unmanned Aerial Vehicles
  • 9.5. By Application (USD)
    • 9.5.1. Yield Monitoring and Mapping
    • 9.5.2. Smart Crop Monitoring
    • 9.5.3. Soil & Fertilizer Management
    • 9.5.4. Smart Irrigation Monitoring System
    • 9.5.5. Weather Forecasting
    • 9.5.6. Others
  • 9.6. By Country (USD)
    • 9.6.1. Turkey
      • 9.6.1.1. By Application
    • 9.6.2. Israel
      • 9.6.2.1. By Application
    • 9.6.3. GCC
      • 9.6.3.1. By Application
    • 9.6.4. North Africa
      • 9.6.4.1. By Application
    • 9.6.5. South Africa
      • 9.6.5.1. By Application
    • 9.6.6. Rest of MEA

10. South America Digital Farming Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 10.1. Key Findings
  • 10.2. By Infrastructure (USD)
    • 10.2.1. Sensing & Monitoring
      • 10.2.1.1. Sensors
      • 10.2.1.2. Cameras
    • 10.2.2. Communication Technology
      • 10.2.2.1. Short Range
      • 10.2.2.2. Medium Range
      • 10.2.2.3. Long Range
    • 10.2.3. Cloud and Data Processing
    • 10.2.4. Telematics/Positioning
      • 10.2.4.1. GPS/GNSS
      • 10.2.4.2. GIS
    • 10.2.5. End-use Components
      • 10.2.5.1. Hardware/Systems
      • 10.2.5.2. Software/Apps
  • 10.3. By Technology (USD)
    • 10.3.1. AI/ML/NLP
    • 10.3.2. IoT
    • 10.3.3. Blockchain
    • 10.3.4. Big Data & Analytics
  • 10.4. By Product (USD)
    • 10.4.1. Agricultural Equipment's
    • 10.4.2. Drones/Robots/Unmanned Aerial Vehicles
  • 10.5. By Application (USD)
    • 10.5.1. Yield Monitoring and Mapping
    • 10.5.2. Smart Crop Monitoring
    • 10.5.3. Soil & Fertilizer Management
    • 10.5.4. Smart Irrigation Monitoring System
    • 10.5.5. Weather Forecasting
    • 10.5.6. Others
  • 10.6. By Country (USD)
    • 10.6.1. Brazil
      • 10.6.1.1. By Application
    • 10.6.2. Argentina
      • 10.6.2.1. By Application
    • 10.6.3. Rest of South America

11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)

  • 11.1. Deere & Company
    • 11.1.1. Overview
      • 11.1.1.1. Key Management
      • 11.1.1.2. Headquarters
      • 11.1.1.3. Offerings/Business Segments
    • 11.1.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.1.2.1. Employee Size
      • 11.1.2.2. Past and Current Revenue
      • 11.1.2.3. Geographical Share
      • 11.1.2.4. Business Segment Share
      • 11.1.2.5. Recent Developments
  • 11.2. Kubota Corporation
    • 11.2.1. Overview
      • 11.2.1.1. Key Management
      • 11.2.1.2. Headquarters
      • 11.2.1.3. Offerings/Business Segments
    • 11.2.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.2.2.1. Employee Size
      • 11.2.2.2. Past and Current Revenue
      • 11.2.2.3. Geographical Share
      • 11.2.2.4. Business Segment Share
      • 11.2.2.5. Recent Developments
  • 11.3. CNH Industrial N.V.
    • 11.3.1. Overview
      • 11.3.1.1. Key Management
      • 11.3.1.2. Headquarters
      • 11.3.1.3. Offerings/Business Segments
    • 11.3.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.3.2.1. Employee Size
      • 11.3.2.2. Past and Current Revenue
      • 11.3.2.3. Geographical Share
      • 11.3.2.4. Business Segment Share
      • 11.3.2.5. Recent Developments
  • 11.4. Hexagon AB
    • 11.4.1. Overview
      • 11.4.1.1. Key Management
      • 11.4.1.2. Headquarters
      • 11.4.1.3. Offerings/Business Segments
    • 11.4.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.4.2.1. Employee Size
      • 11.4.2.2. Past and Current Revenue
      • 11.4.2.3. Geographical Share
      • 11.4.2.4. Business Segment Share
      • 11.4.2.5. Recent Developments
  • 11.5. Topcon Corporation
    • 11.5.1. Overview
      • 11.5.1.1. Key Management
      • 11.5.1.2. Headquarters
      • 11.5.1.3. Offerings/Business Segments
    • 11.5.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.5.2.1. Employee Size
      • 11.5.2.2. Past and Current Revenue
      • 11.5.2.3. Geographical Share
      • 11.5.2.4. Business Segment Share
      • 11.5.2.5. Recent Developments
  • 11.6. CLAAS KGaA mbH
    • 11.6.1. Overview
      • 11.6.1.1. Key Management
      • 11.6.1.2. Headquarters
      • 11.6.1.3. Offerings/Business Segments
    • 11.6.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.6.2.1. Employee Size
      • 11.6.2.2. Past and Current Revenue
      • 11.6.2.3. Geographical Share
      • 11.6.2.4. Business Segment Share
      • 11.6.2.5. Recent Developments
  • 11.7. Trimble
    • 11.7.1. Overview
      • 11.7.1.1. Key Management
      • 11.7.1.2. Headquarters
      • 11.7.1.3. Offerings/Business Segments
    • 11.7.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.7.2.1. Employee Size
      • 11.7.2.2. Past and Current Revenue
      • 11.7.2.3. Geographical Share
      • 11.7.2.4. Business Segment Share
      • 11.7.2.5. Recent Developments
  • 11.8. AGRO Corporation
    • 11.8.1. Overview
      • 11.8.1.1. Key Management
      • 11.8.1.2. Headquarters
      • 11.8.1.3. Offerings/Business Segments
    • 11.8.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.8.2.1. Employee Size
      • 11.8.2.2. Past and Current Revenue
      • 11.8.2.3. Geographical Share
      • 11.8.2.4. Business Segment Share
      • 11.8.2.5. Recent Developments
  • 11.9. AgEagle Aerial Systems
    • 11.9.1. Overview
      • 11.9.1.1. Key Management
      • 11.9.1.2. Headquarters
      • 11.9.1.3. Offerings/Business Segments
    • 11.9.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.9.2.1. Employee Size
      • 11.9.2.2. Past and Current Revenue
      • 11.9.2.3. Geographical Share
      • 11.9.2.4. Business Segment Share
      • 11.9.2.5. Recent Developments
  • 11.10. Bayer AG
    • 11.10.1. Overview
      • 11.10.1.1. Key Management
      • 11.10.1.2. Headquarters
      • 11.10.1.3. Offerings/Business Segments
    • 11.10.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.10.2.1. Employee Size
      • 11.10.2.2. Past and Current Revenue
      • 11.10.2.3. Geographical Share
      • 11.10.2.4. Business Segment Share
      • 11.10.2.5. Recent Developments
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