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PUBLISHER: DataM Intelligence | PRODUCT CODE: 1712524

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PUBLISHER: DataM Intelligence | PRODUCT CODE: 1712524

Global Robotics in Agriculture Market - 2025-2032

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The Global robotics in agriculture market reached US$ 15.78 billion in 2024 and is expected to reach US$ 84.19 billion by 2032, growing at a CAGR of 23.28% during the forecast period 2025-2032.

The robotics in agriculture market is expanding rapidly, driven by the need for automation to offset labor shortages, improve efficiency and support precision farming. Advances in AI and IoT, along with growing government support, are accelerating the adoption of autonomous equipment. This shift is enhancing productivity, reducing operational costs and promoting sustainable farming practices.

Robotics in Agriculture Market Trend

The integration of robotics in vertical farming is emerging as a transformative trend aimed at improving operational efficiency and reducing labor dependency. High labor costs and the need for consistent crop quality have prompted vertical farm operators to invest in automated systems for seeding, harvesting and monitoring. For example, Robotics solutions, such as automated seed casters and harvesting units developed by Rooted Robotics, are enabling farms to scale operations while minimizing crop loss and increasing yield precision.

These systems not only reduce manual workload but also enhance consistency in planting density and harvesting accuracy, which are critical for profitability in space-constrained vertical farms. The deployment of AI-powered robots in such controlled environments is optimizing resource utilization and ensuring faster, cleaner processes. As vertical farming continues to scale, the adoption of affordable and modular robotic solutions will be key to improving return on investment and enabling long-term commercial viability.

Dynamics

Labor Shortages and Rising Labor Costs

Widespread labor shortages and rising wage pressures are accelerating the adoption of robotics in agriculture. Farmers are increasingly turning to automation to manage labor-intensive tasks such as planting, harvesting and weeding. Robotics ensures timely operations, reduces labor dependency and improves overall farm efficiency. This trend is critical in addressing productivity challenges and minimizing crop losses. It also supports scalability in both traditional and high-tech farming systems.

For instance, in January 2025, John Deere launched its fully autonomous tractor, designed to tackle workforce shortages. The tractor uses GPS, AI and vision systems to operate independently with high precision. It allows farmers to reallocate limited labor to more strategic roles. This innovation highlights the industry's pivot toward autonomous solutions. Such technologies are expected to drive significant efficiency gains across global farming operations.

High Capital Investment and Ownership Costs

High capital investment and ownership costs are a significant barrier to adopting robotics in agriculture. Advanced systems require large upfront spending on equipment, installation and software integration. This deters small and mid-sized farms with limited budgets. The long payback period further complicates investment decisions. As a result, market adoption remains uneven across regions.

For example, Rooted Robotics is addressing this issue by offering affordable automation for vertical farms. Their low-cost seed caster, recently implemented at a farm in Denver, demonstrates cost-effective innovation. The solution reduces labor needs without heavy capital outlay. Such scalable models are gaining traction in the market. They enable broader adoption while minimizing financial risk.

Segment Analysis

The global robotics in agriculture market is segmented based on robot type, application, offering, farm size, end-user and region.

Rising Demand Drives Adoption of Autonomous Tractors in Modern Farming

Autonomous tractors have emerged as the dominant robot type in the agriculture robotics market, driven by their multi-functional capabilities and ability to reduce reliance on manual labor. These tractors are increasingly adopted in precision farming, where accuracy, consistency and efficiency are critical. With satellite guidance, remote operation via smartphones and AI integration, they enable round-the-clock fieldwork with minimal human intervention-ideal for tackling labor shortages and boosting productivity.

For instance, Carbon Robotics launched the AutoTractor, a retrofitted autonomous farming system equipped with GPS, AI, radar sensors and LaserWeeder integration. Designed for 24/7 operations, it performs key ground preparation tasks without in-cab drivers. Its remote monitoring feature enables real-time operator intervention, addressing common adoption barriers such as operational disruptions.

Geographical Penetration

Accelerating AgTech Adoption: Rising Demand for Robotics in North American Agriculture

North America holds a significant share of the robotics in agriculture market, driven by labor shortages, rising wage costs and the need to enhance productivity and efficiency in farming operations. US and Canada are witnessing the rapid adoption of autonomous tractors, robotic harvesters, drones and precision farming technologies, particularly in large-scale commercial farms. Government support and investments in Agri-tech innovation are further accelerating the regional market growth.

For example, in September 2024, Niqo Robotics launched RoboThinner in North America to address growing labor challenges in lettuce farming. The AI-driven solution delivers 97% thinning accuracy and covers up to 7 acres per hour, boosting efficiency and yield quality. Designed for easy retrofit on existing tractors, it ensures seamless integration. With rapid ROI and strong adoption potential, it supports growers in key regions like Salinas and Yuma. This reflects North America's shift toward precision agriculture through robotics.

Sustainability Analysis

The integration of robotics in agriculture is significantly advancing sustainable farming practices by enhancing operational efficiency, resource optimization and environmental stewardship. Robotic systems reduce dependency on chemical inputs through precision application of water, fertilizers and pesticides, thereby minimizing environmental pollution and input waste.

AI-powered weeding robots and smart seeders help conserve soil health, reduce over-tillage and lower fuel consumption, supporting regenerative agriculture. Technologies such as robotic arms, autonomous tractors and vertical farming systems also contribute to higher yields with lower resource intensity, improving food security and profitability.

Competitive Landscape

The major global players in the market include Deere & Company, AGCO Corporation, Trimble Inc., Ecorobotix, Harvest Automation, Naio Technologies, CNH Industrial N.V., Agrobot, Harvest CROO Robotics LLC. and KUBOTA Corporation.

Key Developments

  • In March 2025, Carbon Robotics introduced Carbon AutoTractor, the first autonomous tractor solution with real-time remote supervision. Compatible with John Deere 6R and 8R tractors, it installs in under 24 hours and enables seamless switching between manual and autonomous modes. Integrated with the LaserWeeder, it improves operational efficiency by up to 20%, addressing labor challenges and enabling scalable, reliable farm automation.
  • In February 2025, Yamaha Motor launched Yamaha Agriculture, Inc. to deliver autonomous equipment and AI-powered crop management solutions for specialty crops. Through the acquisitions of Robotics Plus and The Yield, the company aims to enhance precision farming and operational efficiency in key markets, aligning with its 2030 vision for robotics-driven sustainable agriculture.

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Target Audience 2024

  • Manufacturers/ Buyers
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies
Product Code: AG9486

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Robot Type
  • 3.2. Snippet by Application
  • 3.3. Snippet by Offering
  • 3.4. Snippet by Farm Size
  • 3.5. Snippet by End-User
  • 3.6. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Labor Shortages and Rising Labor Costs
    • 4.1.2. Restraints
      • 4.1.2.1. High Capital Investment and Ownership Costs
    • 4.1.3. Opportunity
    • 4.1.4. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's Five Force Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Pricing Analysis
  • 5.4. Regulatory and Compliance Analysis
  • 5.5. Sustainability Analysis
  • 5.6. DMI Opinion

6. By Robot Type

  • 6.1. Introduction
    • 6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot Type
    • 6.1.2. Market Attractiveness Index, By Robot Type
  • 6.2. Driverless Tractors*
    • 6.2.1. Introduction
    • 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 6.3. Unmanned Aerial Vehicles (UAVs)
  • 6.4. Milking Robots
  • 6.5. Harvesting Robots
  • 6.6. Weeding Robots
  • 6.7. Seeding Robots
  • 6.8. Irrigation Robots
  • 6.9. Others

7. By Application

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 7.1.2. Market Attractiveness Index, By Application
  • 7.2. Field Farming*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Dairy Management
  • 7.4. Soil Management
  • 7.5. Harvest Management
  • 7.6. Irrigation and Water Management
  • 7.7. Crop Monitoring
  • 7.8. Others

8. By Offering

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 8.1.2. Market Attractiveness Index, By Offering
  • 8.2. Hardware*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
    • 8.2.3. Robotic arms
    • 8.2.4. Sensors (LiDAR, GPS, multispectral)
    • 8.2.5. Cameras and imaging systems
    • 8.2.6. Motors, wheels and actuators
  • 8.3. Software
    • 8.3.1. AI-based crop management
    • 8.3.2. Robotic process automation (RPA)
    • 8.3.3. Predictive analytics
    • 8.3.4. Computer vision systems
  • 8.4. Services
    • 8.4.1. Installation and commissioning
    • 8.4.2. Training and consulting
    • 8.4.3. Maintenance and repair
    • 8.4.4. Data-driven farm advisory services

9. By Farm Size

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Farm Size
    • 9.1.2. Market Attractiveness Index, By Farm Size
  • 9.2. Small Farms (<10 hectares) *
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Medium Farms (10-100 hectares)
  • 9.4. Large Farms (>100 hectares)

10. By End-User

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 10.1.2. Market Attractiveness Index, By End-User
  • 10.2. Farmers *
    • 10.2.1. Introduction
    • 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 10.3. Agricultural Cooperatives
  • 10.4. Research Institutions
  • 10.5. Government Bodies
  • 10.6. Agri-Tech Companies

11. By Region

  • 11.1. Introduction
    • 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 11.1.2. Market Attractiveness Index, By Region
  • 11.2. North America
    • 11.2.1. Introduction
    • 11.2.2. Key Region-Specific Dynamics
    • 11.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot Type
    • 11.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 11.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Farm Size
    • 11.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 11.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.2.8.1. US
      • 11.2.8.2. Canada
      • 11.2.8.3. Mexico
  • 11.3. Europe
    • 11.3.1. Introduction
    • 11.3.2. Key Region-Specific Dynamics
    • 11.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot Type
    • 11.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 11.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Farm Size
    • 11.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 11.3.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.3.8.1. Germany
      • 11.3.8.2. UK
      • 11.3.8.3. France
      • 11.3.8.4. Italy
      • 11.3.8.5. Spain
      • 11.3.8.6. Rest of Europe
  • 11.4. South America
    • 11.4.1. Introduction
    • 11.4.2. Key Region-Specific Dynamics
    • 11.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot Type
    • 11.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 11.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Farm Size
    • 11.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 11.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.4.8.1. Brazil
      • 11.4.8.2. Argentina
      • 11.4.8.3. Rest of South America
  • 11.5. Asia-Pacific
    • 11.5.1. Introduction
    • 11.5.2. Key Region-Specific Dynamics
    • 11.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot Type
    • 11.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 11.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Farm Size
    • 11.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 11.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.5.8.1. China
      • 11.5.8.2. India
      • 11.5.8.3. Japan
      • 11.5.8.4. Australia
      • 11.5.8.5. Rest of Asia-Pacific
  • 11.6. Middle East and Africa
    • 11.6.1. Introduction
    • 11.6.2. Key Region-Specific Dynamics
    • 11.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot Type
    • 11.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 11.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Farm Size
    • 11.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

12. Company Profiles

  • 12.1. Deere & Company*
    • 12.1.1. Company Overview
    • 12.1.2. Product Portfolio and Description
    • 12.1.3. Financial Overview
    • 12.1.4. Key Developments
  • 12.2. AGCO Corporation
  • 12.3. Trimble Inc.
  • 12.4. Ecorobotix
  • 12.5. Harvest Automation
  • 12.6. Naio Technologies
  • 12.7. CNH Industrial N.V.
  • 12.8. Agrobot
  • 12.9. Harvest CROO Robotics LLC.
  • 12.10. KUBOTA Corporation

LIST NOT EXHAUSTIVE

13. Appendix

  • 13.1. About Us and Services
  • 13.2. Contact Us
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