PUBLISHER: Global Market Insights Inc. | PRODUCT CODE: 1529007
PUBLISHER: Global Market Insights Inc. | PRODUCT CODE: 1529007
Autonomous Agricultural Vehicle Market - By Product (Tractors, Harvesters, Seeders, Sprayers), By Automation (Fully Autonomous, Semi-autonomous), By Application (Cultivating, Plowing, Fertilizing, Harvesting, Planting) & Forecast 2024 - 2032
Global Autonomous Agricultural Vehicle Market size will expand at over 17% CAGR from 2024 to 2032, due to technological advancements and the rise of precision agriculture. Autonomous agricultural vehicles are equipped with advanced sensors, GPS, and AI to perform tasks, such as planting, harvesting, and soil analysis with high accuracy and efficiency. With ongoing developments, autonomous agricultural vehicles are providing greater support for sustainable farming practices to help farmers manage their fields more effectively and meet the increasing global food demand. For instance, in February 2024, FarmX introduced Perceptive Navigation for autonomous agricultural vehicles, displaying GPS-free navigation and a comprehensive farm management system.
The autonomous agricultural vehicle market is segregated into product, automation, application, and region.
By automation, the fully autonomous segment is estimated to rise at a significant rate from 2024 to 2032 due to the rising number of independently performing tasks from planting to harvesting. Autonomous vehicles can adapt to varying field conditions in real time to optimize resource use and reduce labor costs. Autonomous systems are also integrating more sophisticated AI algorithms and sensor technologies to enhance the ability to handle complex tasks autonomously including soil analysis, pest management, and yield prediction.
Autonomous agricultural vehicle industry from the seeders product segment is expected to expand from 2024 to 2032. Seeders are used for autonomously navigating across farmlands to distribute seeds based on soil analysis and optimal planting patterns. These vehicles have advanced capabilities for incorporating AI-driven algorithms to refine seeding techniques. Lastly, autonomous seeders are helping in transforming agricultural practices by reducing labor dependency and enhancing productivity.
Regionally, the Asia Pacific autonomous agricultural vehicle industry size is projected to depict robust growth between 2024 and 2032, propelled by rising government support for bolstering sustainability goals. Several policies incentivize the adoption of advanced technologies to promote their integration into farming practices. Governments are funding R&D to foster collaborations between academia and industry to enhance vehicle efficiency and reduce environmental impact, adding to the regional product demand.
Table of Contents
Chapter 1 Methodology & Scope
- 1.1 Research design
- 1.1.1 Research approach
- 1.1.2 Data collection methods
- 1.2 Base estimates and calculations
- 1.2.1 Base year calculation
- 1.2.2 Key trends for market estimates
- 1.3 Forecast model
- 1.4 Primary research & validation
- 1.4.1 Primary sources
- 1.4.2 Data mining sources
- 1.5 Market definitions
Chapter 2 Executive Summary
- 2.1 Industry 360° synopsis, 2021 - 2032
Chapter 3 Industry Insights
- 3.1 Industry ecosystem analysis
- 3.2 Supplier landscape
- 3.2.1 Component manufacturers
- 3.2.2 Vehicle manufacturers
- 3.2.3 Automation technology providers
- 3.2.4 Software developers
- 3.2.5 System integrators
- 3.2.6 End-users
- 3.3 Profit margin analysis
- 3.4 Technology & innovation landscape
- 3.5 Patent analysis
- 3.6 Key news & initiatives
- 3.7 Regulatory landscape
- 3.8 Impact forces
- 3.8.1 Growth drivers
- 3.8.1.1 Improved efficiency and productivity of autonomous vehicles
- 3.8.1.2 Growing trend of mechanization in agriculture
- 3.8.1.3 Advancement in technologies of navigation, IoT and AI
- 3.8.1.4 Shortage of skilled labor in the agricultural sector
- 3.8.1.5 Government support and subsidies
- 3.8.2 Industry pitfalls & challenges
- 3.8.2.1 High initial investment
- 3.8.2.2 Technical complexity of these vehicles
- 3.8.1 Growth drivers
- 3.9 Growth potential analysis
- 3.10 Porter's analysis
- 3.11 PESTEL analysis
Chapter 4 Competitive Landscape, 2023
- 4.1 Introduction
- 4.2 Company market share analysis
- 4.3 Competitive positioning matrix
- 4.4 Strategic outlook matrix
Chapter 5 Market Estimates & Forecast, By Product, 2021 - 2032 ($Mn, Units)
- 5.1 Key trends
- 5.2 Tractor
- 5.3 Harvester
- 5.4 Seeder
- 5.5 Sprayer
Chapter 6 Market Estimates & Forecast, By Automation, 2021 - 2032 ($Mn, Units)
- 6.1 Key trends
- 6.2 Fully autonomous
- 6.3 Semi-autonomous
Chapter 7 Market Estimates & Forecast, By Application, 2021 - 2032 ($Mn, Units)
- 7.1 Key trends
- 7.2 Cultivating
- 7.3 Plowing
- 7.4 Fertilizing
- 7.5 Harvesting
- 7.6 Planting
- 7.7 Others
Chapter 8 Market Estimates & Forecast, By Region, 2021 - 2032 ($Mn, Units)
- 8.1 Key trends
- 8.2 North America
- 8.2.1 U.S.
- 8.2.2 Canada
- 8.3 Europe
- 8.3.1 UK
- 8.3.2 Germany
- 8.3.3 France
- 8.3.4 Spain
- 8.3.5 Italy
- 8.3.6 Russia
- 8.3.7 Nordics
- 8.3.8 Rest of Europe
- 8.4 Asia Pacific
- 8.4.1 China
- 8.4.2 India
- 8.4.3 Japan
- 8.4.4 South Korea
- 8.4.5 ANZ
- 8.4.6 Southeast Asia
- 8.4.7 Rest of Asia Pacific
- 8.5 Latin America
- 8.5.1 Brazil
- 8.5.2 Mexico
- 8.5.3 Argentina
- 8.5.4 Rest of Latin America
- 8.6 MEA
- 8.6.1 UAE
- 8.6.2 South Africa
- 8.6.3 Saudi Arabia
- 8.6.4 Rest of MEA
Chapter 9 Company Profiles
- 9.1 AGCO
- 9.2 John Deere
- 9.3 CNH Industrial
- 9.4 Kubota Corporation
- 9.5 Dutch Power Company
- 9.6 Yanmar Co. Ltd
- 9.7 Zimeno Inc. (DBA Monarch Tractor)
- 9.8 AutoNext Automation
- 9.9 SDF Group
- 9.10 TYM Corporation
- 9.11 Argo Tractors
- 9.12 Trimble
- 9.13 Mahindra and Mahindra Ltd.
- 9.14 Monarch Tractors
- 9.15 Case IH
- 9.16 ESCORTS
- 9.17 Autonxt
- 9.18 New Holland
