Autonomous Agriculture Equipment Market
Autonomous Agriculture Equipment Market Forecasts to 2030 - Global Analysis By Product (Autonomous Tractors, Unmanned Aerial Vehicles (UAVs), Autonomous Harvesters, Agricultural Robots, Driverless Sprayers, Precision Agriculture Systems and Other Products), Technology, Application, End User and By Geography
Years Covered |
2021-2030 |
Estimated Year Value (2023) |
US $3.48 BN |
Projected Year Value (2030) |
US $9.26 BN |
CAGR (2023 - 2030) |
24.5% |
Regions Covered |
North America, Europe, Asia Pacific, South America, and Middle East & Africa |
Countries Covered |
US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa |
Largest Market |
Asia Pacific |
Highest Growing Market |
Europe |
According to Stratistics MRC, the Global Autonomous Agriculture Equipment Market is accounted for $3.48 billion in 2023 and is expected to reach $9.26 billion by 2030 growing at a CAGR of 24.5% during the forecast period. Autonomous agriculture equipment represents a technological leap in farming, leveraging advanced robotics, artificial intelligence, and sensing technologies to automate various tasks traditionally performed by humans or conventional machinery. These autonomous machines can plant, monitor crops, apply fertilizers and pesticides, and harvest with precision and efficiency. By integrating data analytics, they optimize resource usage, reduce labor costs, and increase yields.
According to the 23rd edition of The World of Organic Agriculture, which was published by the Research Institute of Organic Agriculture FiBL and IFOAM, nearly 75 million hectares of agricultural land were managed by autonomous equipment by at least 3.4 million farmers.
Market Dynamics:
Driver:
Growing emphasis on precision agriculture practices
Precision agriculture leverages advanced technologies such as GPS, sensors, and data analytics to optimize farm operations and maximize productivity while minimizing resource usage. Autonomous agriculture equipment plays a pivotal role in enabling precision agriculture by automating tasks with high precision and efficiency. This trend is driven by the growing need for sustainable farming practices, improved yield, and cost reduction, further propelling the adoption of autonomous agriculture equipment in the market.
Restraint:
Limited connectivity in rural areas
Autonomous farming technologies heavily rely on data transmission for real-time monitoring and control, which becomes challenging in areas with poor internet or cellular connectivity. This limitation hampers the effectiveness of autonomous equipment, hindering farmers' ability to access timely information for decision-making and remote management. Without reliable connectivity infrastructure, the potential benefits of autonomous agriculture equipment, such as precision farming and resource optimization, are compromised, thereby impeding the widespread adoption and market growth of these technologies in rural regions.
Opportunity:
Growing adoption of UAVs
UAVs, equipped with cameras and sensors, enable farmers to gather high-resolution imagery and data on crop health, soil moisture, and pest infestation. This data empowers farmers to make informed decisions regarding crop management, such as precise application of fertilizers or pesticides. UAVs also facilitate efficient field mapping and monitoring, contributing to increased productivity and yield optimization. As a result, the integration of UAVs is accelerating the advancement of autonomous agriculture equipment, enhancing its effectiveness and market growth.
Threat:
Complexity and reliability concerns
The integration of advanced technologies such as robotics, artificial intelligence, and sensors introduces complexity in system design and operation. Ensuring the reliability of these complex systems in diverse environmental conditions and operational scenarios poses challenges. Moreover, any malfunctions or errors in autonomous equipment can lead to disruptions in farming operations, resulting in potential crop loss or reduced productivity, thereby hampering the market demand.
Covid-19 Impact
The covid-19 pandemic has had a mixed impact on the autonomous agriculture equipment market. While initial disruptions in supply chains and manufacturing processes slowed down the market growth, the crisis has accelerated the adoption of autonomous technologies in agriculture. The need for labor-saving solutions and the imperative for social distancing measures have fuelled interest in autonomous equipment. Additionally, government’s focus on ensuring food security has led to increased investments in advanced farming technologies.
The autonomous tractors segment is expected to be the largest during the forecast period
The autonomous tractors segment is estimated to have a lucrative growth. Autonomous tractors are revolutionizing agriculture by employing advanced technology to enhance efficiency and productivity. By eliminating the need for human operators, autonomous tractors can work around the clock, reducing labor costs and increasing output. They also enable farmers to optimize resource usage, minimize environmental impact, and improve crop yields. With ongoing advancements, autonomous tractors are poised to play a significant role in the future of sustainable and efficient farming practices.
The crop production segment is expected to have the highest CAGR during the forecast period
The crop production segment is anticipated to witness the highest CAGR growth during the forecast period. Autonomous agriculture equipment revolutionizes crop production by employing advanced technologies like GPS, AI, and robotics. These machines autonomously perform tasks such as planting, spraying, and harvesting, enhancing efficiency, precision, and sustainability in agriculture. They reduce labor costs, optimize resource usage, and minimize environmental impact by precisely targeting inputs. Additionally, they mitigate risks associated with labor shortages and adverse weather conditions, ensuring consistent crop production and food security for a growing global population.
Region with largest share:
Asia Pacific is projected to hold the largest market share during the forecast period owing to increasing government initiatives promoting agricultural modernization. Countries like China, India, and Japan are witnessing significant demand for autonomous equipment due to the need for precision farming, improved productivity, and sustainable agricultural practices. Moreover, technological advancements, supportive regulatory frameworks, and growing awareness about the benefits of automation are further propelling market expansion in the region.
Region with highest CAGR:
Europe is projected to have the highest CAGR over the forecast period, owing to increasing focus on sustainable agriculture practices, rising labor costs, and government support for agricultural innovation. Countries like Germany, France, and the Netherlands are leading the adoption of autonomous farming technologies. Moreover, advancements in robotics, AI, and precision agriculture techniques are fueling market expansion. With ongoing investments in R&D and favourable regulatory policies, the European autonomous agriculture equipment market is poised for continued growth and innovation in the coming years.
Key players in the market
Some of the key players profiled in the Autonomous Agriculture Equipment Market include John Deere, CNH Industrial, AGCO Corporation, Trimble Inc., DeLaval, Kubota Corporation, Yanmar Corporation, CLAAS Group, Autonomous Tractor Corporation, AG Leader Technology, PrecisionHawk, SwarmFarm Robotics, Clearpath Robotics, Raven Industries and Naio Technologies.
Key Developments:
In September 2023, SwarmFarm Robotics, an Australian based leader in Integrated Autonomy, launched its game-changing “dock and refill” capability. This advancement promises to untether equipment size from productivity by enabling robots to autonomously refill and refuel themselves.
In January 2023, John Deere, a farm equipment manufacturer, announced plans to have fully autonomous tractors in the fields by 2030. The company has been investing in robotics and technology for nearly two decades and has developed a fully autonomous version of its 8R farm tractor.
Products Covered:
• Autonomous Tractors
• Unmanned Aerial Vehicles (UAVs)
• Autonomous Harvesters
• Agricultural Robots
• Driverless Sprayers
• Precision Agriculture Systems
• Other Products
Technologies Covered:
• GPS-based Navigation Systems
• Remote Sensing Technology
• Telematics & Connectivity
• Machine Learning & Artificial Intelligence
• LiDAR (Light Detection and Ranging)
• Other Technologies
Applications Covered:
• Crop Production
• Livestock Management
• Dairy Farming
• Horticulture
• Forestry
• Other Applications
End Users Covered:
• Large-scale Commercial Farms
• Small & Medium-sized Farms
• Specialty Crop Producers
• Agricultural Cooperatives
• Other End Users
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o 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 2021, 2022, 2023, 2026, and 2030
- 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
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
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 Product Analysis
3.7 Technology Analysis
3.8 Application Analysis
3.9 End User Analysis
3.10 Emerging Markets
3.11 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 Autonomous Agriculture Equipment Market, By Product
5.1 Introduction
5.2 Autonomous Tractors
5.3 Unmanned Aerial Vehicles (UAVs)
5.4 Autonomous Harvesters
5.5 Agricultural Robots
5.6 Driverless Sprayers
5.7 Precision Agriculture Systems
5.8 Other Products
6 Global Autonomous Agriculture Equipment Market, By Technology
6.1 Introduction
6.2 GPS-based Navigation Systems
6.3 Remote Sensing Technology
6.4 Telematics & Connectivity
6.5 Machine Learning & Artificial Intelligence
6.6 LiDAR (Light Detection and Ranging)
6.7 Other Technologies
7 Global Autonomous Agriculture Equipment Market, By Application
7.1 Introduction
7.2 Crop Production
7.3 Livestock Management
7.4 Dairy Farming
7.5 Horticulture
7.6 Forestry
7.7 Other Applications
8 Global Autonomous Agriculture Equipment Market, By End User
8.1 Introduction
8.2 Large-scale Commercial Farms
8.3 Small & Medium-sized Farms
8.4 Specialty Crop Producers
8.5 Agricultural Cooperatives
8.6 Other End Users
9 Global Autonomous Agriculture Equipment Market, By Geography
9.1 Introduction
9.2 North America
9.2.1 US
9.2.2 Canada
9.2.3 Mexico
9.3 Europe
9.3.1 Germany
9.3.2 UK
9.3.3 Italy
9.3.4 France
9.3.5 Spain
9.3.6 Rest of Europe
9.4 Asia Pacific
9.4.1 Japan
9.4.2 China
9.4.3 India
9.4.4 Australia
9.4.5 New Zealand
9.4.6 South Korea
9.4.7 Rest of Asia Pacific
9.5 South America
9.5.1 Argentina
9.5.2 Brazil
9.5.3 Chile
9.5.4 Rest of South America
9.6 Middle East & Africa
9.6.1 Saudi Arabia
9.6.2 UAE
9.6.3 Qatar
9.6.4 South Africa
9.6.5 Rest of Middle East & Africa
10 Key Developments
10.1 Agreements, Partnerships, Collaborations and Joint Ventures
10.2 Acquisitions & Mergers
10.3 New Product Launch
10.4 Expansions
10.5 Other Key Strategies
11 Company Profiling
11.1 John Deere
11.2 CNH Industrial
11.3 AGCO Corporation
11.4 Trimble Inc.
11.5 DeLaval
11.6 Kubota Corporation
11.7 Yanmar Corporation
11.8 CLAAS Group
11.9 Autonomous Tractor Corporation
11.10 AG Leader Technology
11.11 PrecisionHawk
11.12 SwarmFarm Robotics
11.13 Clearpath Robotics
11.14 Raven Industries
11.15 Naio Technologies
List of Tables
1 Global Autonomous Agriculture Equipment Market Outlook, By Region (2021-2030) ($MN)
2 Global Autonomous Agriculture Equipment Market Outlook, By Product (2021-2030) ($MN)
3 Global Autonomous Agriculture Equipment Market Outlook, By Autonomous Tractors (2021-2030) ($MN)
4 Global Autonomous Agriculture Equipment Market Outlook, By Unmanned Aerial Vehicles (UAVs) (2021-2030) ($MN)
5 Global Autonomous Agriculture Equipment Market Outlook, By Autonomous Harvesters (2021-2030) ($MN)
6 Global Autonomous Agriculture Equipment Market Outlook, By Agricultural Robots (2021-2030) ($MN)
7 Global Autonomous Agriculture Equipment Market Outlook, By Driverless Sprayers (2021-2030) ($MN)
8 Global Autonomous Agriculture Equipment Market Outlook, By Precision Agriculture Systems (2021-2030) ($MN)
9 Global Autonomous Agriculture Equipment Market Outlook, By Other Products (2021-2030) ($MN)
10 Global Autonomous Agriculture Equipment Market Outlook, By Technology (2021-2030) ($MN)
11 Global Autonomous Agriculture Equipment Market Outlook, By GPS-based Navigation Systems (2021-2030) ($MN)
12 Global Autonomous Agriculture Equipment Market Outlook, By Remote Sensing Technology (2021-2030) ($MN)
13 Global Autonomous Agriculture Equipment Market Outlook, By Telematics & Connectivity (2021-2030) ($MN)
14 Global Autonomous Agriculture Equipment Market Outlook, By Machine Learning & Artificial Intelligence (2021-2030) ($MN)
15 Global Autonomous Agriculture Equipment Market Outlook, By LiDAR (Light Detection and Ranging) (2021-2030) ($MN)
16 Global Autonomous Agriculture Equipment Market Outlook, By Other Technologies (2021-2030) ($MN)
17 Global Autonomous Agriculture Equipment Market Outlook, By Application (2021-2030) ($MN)
18 Global Autonomous Agriculture Equipment Market Outlook, By Crop Production (2021-2030) ($MN)
19 Global Autonomous Agriculture Equipment Market Outlook, By Livestock Management (2021-2030) ($MN)
20 Global Autonomous Agriculture Equipment Market Outlook, By Dairy Farming (2021-2030) ($MN)
21 Global Autonomous Agriculture Equipment Market Outlook, By Horticulture (2021-2030) ($MN)
22 Global Autonomous Agriculture Equipment Market Outlook, By Forestry (2021-2030) ($MN)
23 Global Autonomous Agriculture Equipment Market Outlook, By Other Applications (2021-2030) ($MN)
24 Global Autonomous Agriculture Equipment Market Outlook, By End User (2021-2030) ($MN)
25 Global Autonomous Agriculture Equipment Market Outlook, By Large-scale Commercial Farms (2021-2030) ($MN)
26 Global Autonomous Agriculture Equipment Market Outlook, By Small & Medium-sized Farms (2021-2030) ($MN)
27 Global Autonomous Agriculture Equipment Market Outlook, By Specialty Crop Producers (2021-2030) ($MN)
28 Global Autonomous Agriculture Equipment Market Outlook, By Agricultural Cooperatives (2021-2030) ($MN)
29 Global Autonomous Agriculture Equipment Market Outlook, By Other End Users (2021-2030) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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