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Agricultural Automation Market Forecasts to 2032 – Global Analysis By Offering (Hardware, Software, and Services), Farm Type, Farming Environment, Technology, Application and By Geography

Published Jan 29, 2026
Length 200 Pages
SKU # SMR20825390

Description

According to Stratistics MRC, the Global Agricultural Automation Market is accounted for $15.54 billion in 2025 and is expected to reach $32.26 billion by 2032 growing at a CAGR of 11.0% during the forecast period. Agricultural automation involves implementing technology and machinery to carry out farming operations while reducing reliance on manual labor. It integrates robotics, sensors, GPS, and software systems to improve planting, irrigation, fertilization, harvesting, and livestock management. This automation streamlines repetitive tasks, boosts efficiency, lowers costs, and enhances overall productivity. By enabling precise and optimized agricultural practices, it supports sustainable farming, effective resource utilization, and consistent food production.

Market Dynamics:

Driver:

Rising global food demand

Increasing populations, changing dietary habits and urbanization are pushing the need for higher productivity and efficient farm management. Farmers are adopting automated systems such as robotic harvesters, precision planters, and irrigation control to optimize yields. Technological improvements are enabling better monitoring of soil health, crop growth, and water usage, ensuring resource efficiency. Automation is also reducing labor dependency, addressing workforce shortages in both developed and developing countries. The integration of smart sensors and drones allows farmers to make real-time decisions, improving crop quality and minimizing losses.

Restraint:

Technological complexity and skill gaps

Small- and medium-sized farms often struggle to implement sophisticated machinery due to limited technical expertise. The high initial investment in robotics, sensors, and AI-driven platforms also deters widespread adoption. Farmers require specialized training to operate and maintain automated systems efficiently. Integration with existing farm infrastructure can be challenging and time-consuming. Additionally, rural areas may have limited access to reliable internet or technical support, slowing deployment. These factors collectively constrain the pace at which automation technologies are adopted in agriculture.

Opportunity:

Integration of AI and generative AI

AI-powered solutions can optimize crop planning, predict pest infestations, and enhance irrigation efficiency. Generative AI tools are enabling farmers to simulate farming scenarios and design more efficient planting strategies. Automated decision-making systems reduce human error and improve productivity while lowering operational costs. Emerging markets are particularly poised to benefit as AI technologies become more affordable and accessible. The expansion of smart farming platforms and IoT-based monitoring systems is further driving adoption. These innovations are transforming traditional agriculture into data-driven, precision farming practices with higher efficiency and sustainability.

Threat:

Regulatory and legal barriers

Governments often require compliance with stringent safety, environmental, and operational standards. Differences in regulations across countries complicate global deployment of automated farming equipment. Intellectual property protection for AI-driven tools can also create legal disputes. Delays in certification and approvals slow down the introduction of new technologies to market. Farmers may face penalties if automated systems inadvertently cause environmental harm or crop damage. These hurdles collectively pose risks to market expansion and investor confidence in agricultural automation.

Covid-19 Impact:

The Covid-19 pandemic disrupted traditional farming operations and accelerated the adoption of automation. Lockdowns and labor shortages highlighted the need for machinery that reduces human dependency. Supply chain interruptions affected access to seeds, fertilizers, and machinery, emphasizing the value of self-sufficient, automated processes. Farmers increasingly turned to remote monitoring and smart irrigation systems to maintain productivity. Governments and private players accelerated digital initiatives to support resilient food production. Post-pandemic, the agricultural sector continues to embrace automation as a critical strategy for stability and growth.

The hardware segment is expected to be the largest during the forecast period

The hardware segment is expected to account for the largest market share during the forecast period. Equipment such as autonomous tractors, robotic harvesters, sensors, and irrigation systems represent the bulk of market revenue. These tools are essential for improving productivity, reducing labor dependency, and ensuring precision in operations. Technological advancements in sensors, connectivity, and durability are enhancing the efficiency of hardware solutions. Farmers are increasingly investing in smart machinery to optimize yields and reduce operational costs. The widespread applicability across crop farming, livestock management, and greenhouse operations reinforces its market leadership.

The livestock & dairy automation segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the livestock & dairy automation segment is predicted to witness the highest growth rate. Automation technologies in this area, such as robotic milking systems and feed management platforms, are improving efficiency and animal welfare. Rising demand for dairy products and meat is encouraging farmers to adopt precision livestock farming solutions. Sensors and AI tools allow for real-time monitoring of animal health, milk production, and feed optimization. The reduction of manual labor and enhanced biosecurity practices are additional growth drivers. Emerging economies are increasingly investing in automated systems to modernize livestock operations.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share. Advanced farming infrastructure, high adoption of robotics, and supportive government initiatives contribute to regional leadership. Precision agriculture and automated irrigation systems are widely deployed across the U.S. and Canada. Strong R&D investment and technological innovation further enhance market penetration. Collaborations between global equipment manufacturers and regional players strengthen the ecosystem. Additionally, the region’s focus on sustainable and efficient farming practices supports adoption.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR. Rapid population growth and increasing food demand are driving investments in automated farming technologies. Governments in countries like China, India, and Japan are promoting smart agriculture initiatives and subsidies. Smallholder farmers are gradually adopting precision tools, drones, and AI-based platforms to enhance productivity. Technological collaborations with global players accelerate knowledge transfer and market growth. Expansion of farm mechanization and digital agriculture solutions further boosts adoption.

Key players in the market

Some of the key players in Agricultural Automation Market include Deere & Company, PrecisionHawk, AGCO Corporation, Autonomous Solutions, Trimble Inc., DJI, CNH Industrial, Lely Holding, Kubota Corporation, DeLaval, Yamaha Motor Co., Ltd., DICKEY-john Corporation, Raven Industries, Topcon Positioning Systems, and AG Leader Technology.

Key Developments:

In December 2025, Deere & Company entered into an agreement to acquire Tenna, a construction technology company, and a holding of The Conti Group that offers mixed-fleet equipment operations and asset tracking solutions. Tenna will continue to operate as an independent business marketed directly to construction customers under the Tenna tradename and will focus on scaling and growing the business through its proven mixed-fleet customer-focused business model.

In September 2025, AGCO announced its signing of a Virtual Power Purchase Agreement (VPPA) in partnership with BRUC, one of the largest renewable energy groups in Spain. The agreement marks a significant milestone in AGCO's renewable energy strategy and helps reduce its Scope 2 greenhouse gas emissions relating to its indirect onsite purchased electricity.

Offerings Covered:
• Hardware
• Software
• Services

Farm Types Covered:
• Small Farms
• Medium Farms
• Large Commercial Farms

Farming Environments Covered:
• Open Field Farming
• Greenhouses
• Indoor & Controlled Environment Agriculture

Technologies Covered:
• Robotics & Automation
• Artificial Intelligence & Machine Learning
• Internet of Things (IoT)
• GPS & Telematics
• Data Analytics
• Other Technologies

Applications Covered:
• Precision Farming
• Planting & Seeding Automation
• Irrigation Automation
• Crop Monitoring & Spraying
• Harvesting Automation
• Livestock & Dairy Automation
• Greenhouse Automation
• Other Applications

Regions Covered:
• North America
US
Canada
Mexico
• Europe
Germany
UK
Italy
France
Spain
Rest of Europe
• Asia Pacific
Japan
China
India
Australia
New Zealand
South Korea
Rest of Asia Pacific
• South America
Argentina
Brazil
Chile
Rest of South America
• Middle East & Africa
Saudi Arabia
UAE
Qatar
South Africa
Rest of Middle East & Africa

What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements

Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

200 Pages
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Technology Analysis
3.7 Application Analysis
3.8 Emerging Markets
3.9 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Agricultural Automation Market, By Offering
5.1 Introduction
5.2 Hardware
5.2.1 Autonomous Tractors & Machinery
5.2.2 Agricultural Robots
5.2.3 Drones (UAVs)
5.2.4 Sensors & Control Devices
5.2.5 GPS & Guidance Systems
5.3 Software
5.3.1 Farm Management Software
5.3.2 Precision Farming Software
5.3.3 AI & Analytics Platforms
5.4 Services
5.4.1 Installation & Integration
5.4.2 Maintenance & Support
5.4.3 Data & Advisory Services
6 Global Agricultural Automation Market, By Farm Type
6.1 Introduction
6.2 Small Farms
6.3 Medium Farms
6.4 Large Commercial Farms
7 Global Agricultural Automation Market, By Farming Environment
7.1 Introduction
7.2 Open Field Farming
7.3 Greenhouses
7.4 Indoor & Controlled Environment Agriculture
8 Global Agricultural Automation Market, By Technology
8.1 Introduction
8.2 Robotics & Automation
8.3 Artificial Intelligence & Machine Learning
8.4 Internet of Things (IoT)
8.5 GPS & Telematics
8.6 Data Analytics
8.7 Other Technologies
9 Global Agricultural Automation Market, By Application
9.1 Introduction
9.2 Precision Farming
9.3 Planting & Seeding Automation
9.4 Irrigation Automation
9.5 Crop Monitoring & Spraying
9.6 Harvesting Automation
9.7 Livestock & Dairy Automation
9.8 Greenhouse Automation
9.9 Other Applications
10 Global Agricultural Automation Market, By Geography
10.1 Introduction
10.2 North America
10.2.1 US
10.2.2 Canada
10.2.3 Mexico
10.3 Europe
10.3.1 Germany
10.3.2 UK
10.3.3 Italy
10.3.4 France
10.3.5 Spain
10.3.6 Rest of Europe
10.4 Asia Pacific
10.4.1 Japan
10.4.2 China
10.4.3 India
10.4.4 Australia
10.4.5 New Zealand
10.4.6 South Korea
10.4.7 Rest of Asia Pacific
10.5 South America
10.5.1 Argentina
10.5.2 Brazil
10.5.3 Chile
10.5.4 Rest of South America
10.6 Middle East & Africa
10.6.1 Saudi Arabia
10.6.2 UAE
10.6.3 Qatar
10.6.4 South Africa
10.6.5 Rest of Middle East & Africa
11 Key Developments
11.1 Agreements, Partnerships, Collaborations and Joint Ventures
11.2 Acquisitions & Mergers
11.3 New Product Launch
11.4 Expansions
11.5 Other Key Strategies
12 Company Profiling
12.1 Deere & Company
12.2 PrecisionHawk
12.3 AGCO Corporation
12.4 Autonomous Solutions
12.5 Trimble Inc.
12.6 DJI
12.7 CNH Industrial
12.8 Lely Holding
12.9 Kubota Corporation
12.10 DeLaval
12.11 Yamaha Motor Co., Ltd.
12.12 DICKEY-john Corporation
12.13 Raven Industries
12.14 Topcon Positioning Systems
12.15 AG Leader Technology
List of Tables
Table 1 Global Agricultural Automation Market Outlook, By Region (2024-2032) ($MN)
Table 2 Global Agricultural Automation Market Outlook, By Offering (2024-2032) ($MN)
Table 3 Global Agricultural Automation Market Outlook, By Hardware (2024-2032) ($MN)
Table 4 Global Agricultural Automation Market Outlook, By Autonomous Tractors & Machinery (2024-2032) ($MN)
Table 5 Global Agricultural Automation Market Outlook, By Agricultural Robots (2024-2032) ($MN)
Table 6 Global Agricultural Automation Market Outlook, By Drones (UAVs) (2024-2032) ($MN)
Table 7 Global Agricultural Automation Market Outlook, By Sensors & Control Devices (2024-2032) ($MN)
Table 8 Global Agricultural Automation Market Outlook, By GPS & Guidance Systems (2024-2032) ($MN)
Table 9 Global Agricultural Automation Market Outlook, By Software (2024-2032) ($MN)
Table 10 Global Agricultural Automation Market Outlook, By Farm Management Software (2024-2032) ($MN)
Table 11 Global Agricultural Automation Market Outlook, By Precision Farming Software (2024-2032) ($MN)
Table 12 Global Agricultural Automation Market Outlook, By AI & Analytics Platforms (2024-2032) ($MN)
Table 13 Global Agricultural Automation Market Outlook, By Services (2024-2032) ($MN)
Table 14 Global Agricultural Automation Market Outlook, By Installation & Integration (2024-2032) ($MN)
Table 15 Global Agricultural Automation Market Outlook, By Maintenance & Support (2024-2032) ($MN)
Table 16 Global Agricultural Automation Market Outlook, By Data & Advisory Services (2024-2032) ($MN)
Table 17 Global Agricultural Automation Market Outlook, By Farm Type (2024-2032) ($MN)
Table 18 Global Agricultural Automation Market Outlook, By Small Farms (2024-2032) ($MN)
Table 19 Global Agricultural Automation Market Outlook, By Medium Farms (2024-2032) ($MN)
Table 20 Global Agricultural Automation Market Outlook, By Large Commercial Farms (2024-2032) ($MN)
Table 21 Global Agricultural Automation Market Outlook, By Farming Environment (2024-2032) ($MN)
Table 22 Global Agricultural Automation Market Outlook, By Open Field Farming (2024-2032) ($MN)
Table 23 Global Agricultural Automation Market Outlook, By Greenhouses (2024-2032) ($MN)
Table 24 Global Agricultural Automation Market Outlook, By Indoor & Controlled Environment Agriculture (2024-2032) ($MN)
Table 25 Global Agricultural Automation Market Outlook, By Technology (2024-2032) ($MN)
Table 26 Global Agricultural Automation Market Outlook, By Robotics & Automation (2024-2032) ($MN)
Table 27 Global Agricultural Automation Market Outlook, By Artificial Intelligence & Machine Learning (2024-2032) ($MN)
Table 28 Global Agricultural Automation Market Outlook, By Internet of Things (IoT) (2024-2032) ($MN)
Table 29 Global Agricultural Automation Market Outlook, By GPS & Telematics (2024-2032) ($MN)
Table 30 Global Agricultural Automation Market Outlook, By Data Analytics (2024-2032) ($MN)
Table 31 Global Agricultural Automation Market Outlook, By Other Technologies (2024-2032) ($MN)
Table 32 Global Agricultural Automation Market Outlook, By Application (2024-2032) ($MN)
Table 33 Global Agricultural Automation Market Outlook, By Precision Farming (2024-2032) ($MN)
Table 34 Global Agricultural Automation Market Outlook, By Planting & Seeding Automation (2024-2032) ($MN)
Table 35 Global Agricultural Automation Market Outlook, By Irrigation Automation (2024-2032) ($MN)
Table 36 Global Agricultural Automation Market Outlook, By Crop Monitoring & Spraying (2024-2032) ($MN)
Table 37 Global Agricultural Automation Market Outlook, By Harvesting Automation (2024-2032) ($MN)
Table 38 Global Agricultural Automation Market Outlook, By Livestock & Dairy Automation (2024-2032) ($MN)
Table 39 Global Agricultural Automation Market Outlook, By Greenhouse Automation (2024-2032) ($MN)
Table 40 Global Agricultural Automation Market Outlook, By Other Applications (2024-2032) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
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