The Autonomous Agriculture Equipment Market Size is valued at 11.15 billion in 2022 and is predicted to reach 60.30 billion by the year 2031 at a 20.81% CAGR during the forecast period for 2023-2031.
Autonomous agriculture equipment market is in a growing phase owing to different advanced technologies in the market. An increase in the adoption of automated machinery and equipment, sensors, and navigation systems, robots, autonomous vehicles, and other is expected to drive market growth. An autonomous tractor is the most important hardware component used in modern agriculture operations. The growth in the global autonomous agriculture equipment market is expected to be driven by an upsurge in the adoption of automated farming technologies due to labor depletion and high labor costs, a rise in optimization of crop yield and waste reduction, and a rise in dependence on advanced technologies to enhance productivity across the globe.
Due to the COVID-19 pandemic, research & development has decreased due to the lack of funding, halted manufacturing activities, and disruption of the raw material supply chain. In addition, the positive impact of COVID-19 has been seen in autonomous farming solution adoption, such as autonomous tractors, robots, drones, harvesters, planters, and sensors by farmers owing to the lack of workers, which is resulted in an increase in demand for autonomous agriculture equipment worldwide.
The autonomous agriculture equipment market is segmented on the basis of type, product and application. Type segment includes autonomous, semi-autonomous. The market is segmented as tractors, unmanned aerial vehicles (UAVs), robots, and other products based on product. By Applications, the market is segmented into planting, harvesting, spraying and other applications.
The robot segment is estimated to capture the highest market share during the forecast period. Agriculture robot is increasingly used in various farming operation such as weed control, planting, harvesting, and soil analysis. In addition, with the increasing adoption of intelligent or autonomous robots integrated with sensors and navigation systems, computer vision is expected to drive the growth of the autonomous agriculture equipment market worldwide. Moreover, an increase in penetration of integrated hardware and software technologies is expected to increase the production and efficiency of farms, which in turn is projected to push market growth in the future years.
The segment is inclusive of tractors, levelers, and agriculture implements. The demand for agriculture tractors is gaining traction owing to numerous factors such as the increasing demand for food propelling, the need to mechanize farm work, the availability of technologically advanced tractors, and increased urbanization causing a shortage in labor, forcing farmers to adopt machinery. This is anticipated to contribute to the maturation of the overall market.
North America generated the highest revenue in 2022. The Region is witnessing an upsurge in adopting autonomous agriculture equipment such as autonomous vehicles, drones, robots, irrigation systems, and other automation and control systems. In addition, the raised adoption of digital technologies for modern farm machinery in efficient crop production in the Region, along with the advancement in the popularity of indoor farming owing to urbanization. In addition, the North American Region is also anticipated to grow at a faster rate.
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Report Attribute |
Specifications |
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Market size value in 2022 |
USD 11.15 Bn |
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Revenue forecast in 2031 |
USD 60.30 Bn |
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Growth rate CAGR |
CAGR of 20.81% from 2023 to 2031 |
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Quantitative units |
Representation of revenue in US$ Billion, Volume (Unit) and CAGR from 2023 to 2031 |
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Historic Year |
2019 to 2022 |
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Forecast Year |
2023-2031 |
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Report coverage |
The forecast of revenue, the position of the company, the competitive market statistics, growth prospects, and trends |
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Segments covered |
Type, Product And Application |
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Regional scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; The UK; France; Italy; Spain; China; Japan; India; South Korea; Southeast Asia; South Korea; Southeast Asia |
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Competitive Landscape |
AGCO Corporation, Naio Technologies, CLAAS HGaA mbH, DJI, CNH Industrial N.V., Parrot Drone SAS, AgEagle Aerial Systems Inc, Deere & Company, YANMAR HOLDING Co., Ltd., YTO GROUP CORPORATION, Autonomous Tractor Corporation, Mahindra & Mahindra Ltd., Corporation, and Hexagon Agriculture. |
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Customization scope |
Free customization report with the procurement of the report, Modifications to the regional and segment scope. Particular Geographic competitive landscape. |
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Pricing and available payment methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Autonomous Agriculture Equipment Market Snapshot
Chapter 4. Global Autonomous Agriculture Equipment Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis
Chapter 5. Market Segmentation 1: by Product Type Estimates & Trend Analysis
5.1. by Product Type & Market Share, 2019 & 2031
5.2. Market Size (Value (US$ Mn) & Volume (Unit)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Product Type:
5.2.1. Tractors
5.2.2. Unmanned Aerial Vehicles (UAVs)
5.2.3. Robots
5.2.4. Other Products
Chapter 6. Market Segmentation 2: by Type Estimates & Trend Analysis
6.1. by Type & Market Share, 2019 & 2031
6.2. Market Size (Value (US$ Mn) & Volume (Unit)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Type:
6.2.1. Autonomous
6.2.2. Non-autonomous
Chapter 7. Market Segmentation 3: by Application Estimates & Trend Analysis
7.1. by Application & Market Share, 2019 & 2031
7.2. Market Size (Value (US$ Mn) & Volume (Unit)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Application:
7.2.1. Planting
7.2.2. Harvesting
7.2.3. Spraying
7.2.4. Other Applications
Chapter 8. Autonomous Agriculture Equipment Market Segmentation 4: Regional Estimates & Trend Analysis
8.1. North America
8.1.1. North America Autonomous Agriculture Equipment Market Revenue (US$ Million) & Volume (Unit) Estimates and Forecasts by Product Type, 2023-2031
8.1.2. North America Autonomous Agriculture Equipment Market Revenue (US$ Million) & Volume (Unit) Estimates and Forecasts by Type, 2023-2031
8.1.3. North America Autonomous Agriculture Equipment Market Revenue (US$ Million) & Volume (Unit) Estimates and Forecasts by Application, 2023-2031
8.1.4. North America Autonomous Agriculture Equipment Market Revenue (US$ Million) & Volume (Unit) Estimates and Forecasts by country, 2023-2031
8.2. Europe
8.2.1. Europe Autonomous Agriculture Equipment Market Revenue (US$ Million) & Volume (Unit) Estimates and Forecasts by Product Type, 2023-2031
8.2.2. Europe Autonomous Agriculture Equipment Market Revenue (US$ Million) & Volume (Unit) Estimates and Forecasts by Type, 2023-2031
8.2.3. Europe Autonomous Agriculture Equipment Market Revenue (US$ Million) & Volume (Unit) Estimates and Forecasts by Application, 2023-2031
8.2.4. Europe Autonomous Agriculture Equipment Market Revenue (US$ Million) & Volume (Unit) Estimates and Forecasts by country, 2023-2031
8.3. Asia Pacific
8.3.1. Asia Pacific Autonomous Agriculture Equipment Market Revenue (US$ Million) & Volume (Unit) Estimates and Forecasts by Product Type, 2023-2031
8.3.2. Asia Pacific Autonomous Agriculture Equipment Market Revenue (US$ Million) & Volume (Unit) Estimates and Forecasts by Type, 2023-2031
8.3.3. Asia-Pacific Autonomous Agriculture Equipment Market Revenue (US$ Million) & Volume (Unit) Estimates and Forecasts by Application, 2023-2031
8.3.4. Asia Pacific Autonomous Agriculture Equipment Market Revenue (US$ Million) & Volume (Unit) Estimates and Forecasts by country, 2023-2031
8.4. Latin America
8.4.1. Latin America Autonomous Agriculture Equipment Market Revenue (US$ Million) & Volume (Unit) Estimates and Forecasts by Product Type, 2023-2031
8.4.2. Latin America Autonomous Agriculture Equipment Market Revenue (US$ Million) & Volume (Unit) Estimates and Forecasts by Type, 2023-2031
8.4.3. Latin America Autonomous Agriculture Equipment Market Revenue (US$ Million) & Volume (Unit) Estimates and Forecasts by Application, 2023-2031
8.4.4. Latin America Autonomous Agriculture Equipment Market Revenue (US$ Million) & Volume (Unit) Estimates and Forecasts by country, 2023-2031
8.5. Middle East & Africa
8.5.1. Middle East & Africa Autonomous Agriculture Equipment Market Revenue (US$ Million) & Volume (Unit) Estimates and Forecasts by Product Type, 2023-2031
8.5.2. Middle East & Africa Autonomous Agriculture Equipment Market Revenue (US$ Million) & Volume (Unit) Estimates and Forecasts by Type, 2023-2031
8.5.3. Middle East & Africa Autonomous Agriculture Equipment Market Revenue (US$ Million) & Volume (Unit) Estimates and Forecasts by Application, 2023-2031
8.5.4. Middle East & Africa Autonomous Agriculture Equipment Market Revenue (US$ Million) & Volume (Unit) Estimates and Forecasts by country, 2023-2031
Chapter 9. Competitive Landscape
9.1. Major Mergers and Acquisitions/Strategic Alliances
9.2. Company Profiles
9.2.1. AGCO Corporation
9.2.2. Naio Technologies
9.2.3. CLAAS KGaA mbH
9.2.4. DJI
9.2.5. CNH Industrial N.V.
9.2.6. Parrot Drone SAS
9.2.7. AgEagle Aerial System Inc
9.2.8. Deere & Company
9.2.9. YANMAR HOLDING Co. Ltd.
9.2.10. YTO GROUP CORPORATION
9.2.11. Autonomous Tractor Corporation
9.2.12. Mahindra & Mahindra Ltd.
9.2.13. Kubota Corporation
9.2.14. Delair
9.2.15. Hexagon Agriculture
9.2.16. Other Prominent Players
Autonomous Agriculture Equipment Market By Type-
Autonomous Agriculture Equipment Market By Application-
Autonomous Agriculture Equipment Market By Products-
Autonomous Agriculture Equipment Market By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
To know more about the research methodology used for this study, kindly contact us/click here.
