Report Content
Chapter 1 Methodology & Scope
1.1 Scope & definitions
1.2 Methodology & forecast parameters
1.3 COVID-19 impact
1.3.1 North America
1.3.2 Europe
1.3.3 Asia Pacific
1.3.4 Latin America
1.3.5 MEA
1.4 Data sources
1.4.1 Secondary
1.4.2 Primary
Chapter 2 Executive Summary
2.1 Autonomous farm equipment 360º synopsis, 2016 - 2027
2.1.1 Business trends
2.1.2 Regional trends
2.1.3 Type trends
2.1.4 Application trends
2.1.5 End-use trends
Chapter 3 Autonomous Farm Equipment Industry Insights
3.1 Industry segmentation
3.2 Impact of coronavirus (COVID-19) pandemic
3.2.1 Global outlook
3.2.2 Regional outlook
3.2.2.1 North America
3.2.2.2 Europe
3.2.2.3 Asia Pacific
3.2.2.4 Latin America
3.2.2.5 MEA
3.2.3 Industry value chain
3.2.3.1 Research and development
3.2.3.2 Manufacturing
3.2.3.3 Marketing
3.2.3.4 Supply
3.2.4 Competitive landscape
3.2.4.1 Strategy
3.2.4.2 Distribution Network
3.2.4.3 Business growth
3.3 Industry ecosystem analysis
3.3.1 Component suppliers
3.3.2 Manufacturers
3.3.3 Distributors
3.3.4 Vendor matrix
3.3.4.1 Component suppliers
3.3.4.2 Manufacturers
3.3.4.3 Distributors
3.4 Technology & innovation landscape
3.5 Regulatory landscape
3.5.1 North America
3.5.2 Europe
3.5.3 Asia Pacific
3.5.4 Latin America
3.5.5 MEA
3.6 Industry impact forces
3.6.1 Growth drivers
3.6.1.1 North America
3.6.1.1.1 High implementation of drones in the farms
3.6.1.1.2 Regional government’s financial support to the farmers to adopt autonomous farm equipment
3.6.1.2 Europe
3.6.1.2.1 Increasing precision farming
3.6.1.3 Asia Pacific
3.6.1.3.1 Adoption of technologically advanced farm equipment and vehicles such as autonomous tractors
3.6.1.4 Latin America
3.6.1.4.1 Increasing agricultural commodity exports
3.6.1.5 MEA
3.6.1.5.1 Positive outlook for agriculture drones
3.6.2 Industry pitfalls & challenges
3.6.2.1 High equipment costs
3.6.2.2 Adoption of autonomous farm equipment leading to the decline in the labor workforce
3.6.2.3 Lack of technical knowledge among the farmers
3.7 Growth potential analysis
3.8 Porter’s analysis
3.8.1 Supplier power
3.8.2 Buyer power
3.8.3 Threat of new entrants
3.8.4 Threat of substitutes
3.8.5 Internal rivalry
3.9 PESTEL analysis
3.9.1 Political
3.9.2 Economical
3.9.3 Social
3.9.4 Technological
3.9.5 Environmental
3.9.6 Legal
Chapter 4 Competitive Landscape,
4.1 Introduction
4.2 Competitive analysis of major players
4.2.1 John Deere
4.2.2 CNH Industrial NV
4.2.3 Kubota Corporation
4.2.4 Yanmar Holdings Co Ltd
4.2.5 AGCO
4.3 Competitive analysis of other prominent players
4.3.1 Mahindra and Mahindra
4.3.2 Robert Bosch GmbH
4.3.3 Bobcat Company (Doosan)
4.3.4 DJI
4.4 Vendor adoption matrix
Chapter 5 Autonomous Farm Equipment Market, By Operation (Revenue & Shipments)
5.1 Autonomous farm equipment market share, by operation, 2020 & 2027
5.2 Fully autonomous
5.2.1 Market estimates and forecast, 2016 - 2027
5.3 Partially autonomous
5.3.1 Market estimates and forecast,2016 – 2027
Chapter 6 Autonomous Farm Equipment Market, By Product (Revenue & Shipments)
6.1 Autonomous farm equipment market share, by product, 2020 & 2027
6.2 Tractors
6.2.1 Market estimates and forecast, 2016 - 2027
6.3 Harvesters
6.4 Market estimates and forecast, 2016 - 2027
6.5 UAVs
6.5.1 Market estimates and forecast, 2016 - 2027
6.6 UGVs
6.6.1 Market estimates and forecast, 2016 - 2027
Chapter 7 Autonomous Farm Equipment Market, By Region ((Revenue & Shipments)
7.1 Autonomous farm equipment market share, by region, 2020 & 2027
7.2 North America
7.2.1 Market estimates and forecast, 2016 - 2027
7.2.2 Market estimates and forecast, by operation,2016 – 2027
7.2.3 Market estimates and forecast, by product,2016 – 2027
7.2.4 U.S.
7.2.4.1 Market estimates and forecast,2016 – 2027
7.2.4.2 Market estimates and forecast, by operation,2016 – 2027
7.2.4.3 Market estimates and forecast, by product,2016 – 2027
7.2.5 Canada
7.2.5.1 Market estimates and forecast,2016 – 2027
7.2.5.2 Market estimates and forecast, by operation,2016 – 2027
7.2.5.3 Market estimates and forecast, by product,2016 – 2027
7.3 Europe
7.3.1 Market estimates and forecast,2016 – 2027
7.3.2 Market estimates and forecast, by operation,2016 – 2027
7.3.3 Market estimates and forecast, by product,2016 – 2027
7.3.4 UK
7.3.4.1 Market estimates and forecast,2016 – 2027
7.3.4.2 Market estimates and forecast, by operation,2016 – 2027
7.3.4.3 Market estimates and forecast, by product,2016 – 2027
7.3.5 Germany
7.3.5.1 Market estimates and forecast,2016 – 2027
7.3.5.2 Market estimates and forecast, by operation,2016 – 2027
7.3.5.3 Market estimates and forecast, by product,2016 – 2027
7.3.6 France
7.3.6.1 Market estimates and forecast,2016 – 2027
7.3.6.2 Market estimates and forecast, by operation,2016 – 2027
7.3.6.3 Market estimates and forecast, by product,2016 – 2027
7.3.7 Italy
7.3.7.1 Market estimates and forecast,2016 – 2027
7.3.7.2 Market estimates and forecast, by operation,2016 – 2027
7.3.7.3 Market estimates and forecast, by product,2016 – 2027
7.3.8 Spain
7.3.8.1 Market estimates and forecast,2016 – 2027
7.3.8.2 Market estimates and forecast, by operation,2016 – 2027
7.3.8.3 Market estimates and forecast, by product,2016 – 2027
7.3.9 Russia
7.3.9.1 Market estimates and forecast,2016 – 2027
7.3.9.2 Market estimates and forecast, by operation,2016 – 2027
7.3.9.3 Market estimates and forecast, by product,2016 – 2027
7.4 Asia Pacific
7.4.1 Market estimates and forecast,2016 – 2027
7.4.2 Market estimates and forecast, by operation,2016 – 2027
7.4.3 Market estimates and forecast, by product,2016 – 2027
7.4.4 China
7.4.4.1 Market estimates and forecast,2016 – 2027
7.4.4.2 Market estimates and forecast, by operation,2016 – 2027
7.4.4.3 Market estimates and forecast, by product,2016 – 2027
7.4.5 India
7.4.5.1 Market estimates and forecast,2016 – 2027
7.4.5.2 Market estimates and forecast, by operation,2016 – 2027
7.4.5.3 Market estimates and forecast, by product,2016 – 2027
7.4.6 Japan
7.4.6.1 Market estimates and forecast,2016 – 2027
7.4.6.2 Market estimates and forecast, by operation,2016 – 2027
7.4.6.3 Market estimates and forecast, by product,2016 – 2027
7.4.7 South Korea
7.4.7.1 Market estimates and forecast,2016 – 2027
7.4.7.2 Market estimates and forecast, by operation,2016 – 2027
7.4.7.3 Market estimates and forecast, by product,2016 – 2027
7.4.8 Australia
7.4.8.1 Market estimates and forecast,2016 – 2027
7.4.8.2 Market estimates and forecast, by operation,2016 – 2027
7.4.8.3 Market estimates and forecast, by product,2016 – 2027
7.5 Latin America
7.5.1 Market estimates and forecast,2016 – 2027
7.5.2 Market estimates and forecast, by operation,2016 – 2027
7.5.3 Market estimates and forecast, by product,2016 – 2027
7.5.4 Brazil
7.5.4.1 Market estimates and forecast,2016 – 2027
7.5.4.2 Market estimates and forecast, by operation,2016 – 2027
7.5.4.3 Market estimates and forecast, by product,2016 – 2027
7.5.5 Mexico
7.5.5.1 Market estimates and forecast,2016 – 2027
7.5.5.2 Market estimates and forecast, by operation,2016 – 2027
7.5.5.3 Market estimates and forecast, by product,2016 – 2027
7.6 MEA
7.6.1 Market estimates and forecast,2016 – 2027
7.6.2 Market estimates and forecast, by operation,2016 – 2027
7.6.3 Market estimates and forecast, by product,2016 – 2027
7.6.4 GCC
7.6.4.1 Market estimates and forecast,2016 – 2027
7.6.4.2 Market estimates and forecast, by operation,2016 – 2027
7.6.4.3 Market estimates and forecast, by product,2016 – 2027
7.6.5 South Africa
7.6.5.1 Market estimates and forecast,2016 – 2027
7.6.5.2 Market estimates and forecast, by operation,2016 – 2027
7.6.5.3 Market estimates and forecast, by product,2016 – 2027
Chapter 8 Company Profiles
8.1 3D Robotics
8.1.1 Business Overview
8.1.2 Financial Data
8.1.3 Technology Landscape
8.1.4 Strategic Outlook
8.1.5 SWOT Analysis
8.2 AGCO Corporation
8.2.1 Business Overview
8.2.2 Financial Data
8.2.3 Technology Landscape
8.2.4 Strategic Outlook
8.2.5 SWOT Analysis
8.3 Agribotix LLC (AgEagle)
8.3.1 Business Overview
8.3.2 Financial Data
8.3.3 Technology Landscape
8.3.4 Strategic Outlook
8.3.5 SWOT Analysis
8.4 Agritronics
8.4.1 Business Overview
8.4.2 Financial Data
8.4.3 Technology Landscape
8.4.4 Strategic Outlook
8.4.5 SWOT Analysis
8.5 AgXeed
8.5.1 Business Overview
8.5.2 Financial Data
8.5.3 Technology Landscape
8.5.4 Strategic Outlook
8.5.5 SWOT Analysis
8.6 American Robotics, Inc. (ONDAS)
8.6.1 Business Overview
8.6.2 Financial Data
8.6.3 Technology Landscape
8.6.4 Strategic Outlook
8.6.5 SWOT Analysis
8.7 Autonomous Solutions Inc.
8.7.1 Business Overview
8.7.2 Financial Data
8.7.3 Technology Landscape
8.7.4 Strategic Outlook
8.7.5 SWOT Analysis
8.8 Bobcat Company (Doosan)
8.8.1 Business Overview
8.8.2 Financial Data
8.8.3 Technology Landscape
8.8.4 Strategic Outlook
8.8.5 SWOT Analysis
8.9 Clearpath Robotics Inc.
8.9.1 Business Overview
8.9.2 Financial Data
8.9.3 Technology Landscape
8.9.4 Strategic Outlook
8.9.5 SWOT Analysis
8.10 CNH Industrial N.V.
8.10.1 Business Overview
8.10.2 Financial Data
8.10.3 Technology Landscape
8.10.4 Strategic Outlook
8.10.5 SWOT Analysis
8.11 Deutz-Fahr (SDF Group)
8.11.1 Business Overview
8.11.2 Financial Data
8.11.3 Technology Landscape
8.11.4 Strategic Outlook
8.11.5 SWOT Analysis
8.12 DJI
8.12.1 Business Overview
8.12.2 Financial Data
8.12.3 Technology Landscape
8.12.4 Strategic Outlook
8.12.5 SWOT Analysis
8.13 Ecorobotix SA
8.13.1 Business Overview
8.13.2 Financial Data
8.13.3 Technology Landscape
8.13.4 Strategic Outlook
8.13.5 SWOT Analysis
8.14 Energid Technologies Corporation
8.14.1 Business Overview
8.14.2 Financial Data
8.14.3 Technology Landscape
8.14.4 Strategic Outlook
8.14.5 SWOT Analysis
8.15 Farmdroid ApS
8.15.1 Business Overview
8.15.2 Financial Data
8.15.3 Technology Landscape
8.15.4 Strategic Outlook
8.15.5 SWOT Analysis
8.16 John Deere
8.16.1 Business Overview
8.16.2 Financial Data
8.16.3 Technology Landscape
8.16.4 Strategic Outlook
8.16.5 SWOT Analysis
8.17 Kinze Manufacturing
8.17.1 Business Overview
8.17.2 Financial Data
8.17.3 Technology Landscape
8.17.4 Strategic Outlook
8.17.5 SWOT Analysis
8.18 Kubota Corporation
8.18.1 Business Overview
8.18.2 Financial Data
8.18.3 Technology Landscape
8.18.4 Strategic Outlook
8.18.5 SWOT Analysis
8.19 Mahindra and Mahindra Ltd.
8.19.1 Business Overview
8.19.2 Financial Data
8.19.3 Technology Landscape
8.19.4 Strategic Outlook
8.19.5 SWOT Analysis
8.20 Naio Technologies
8.20.1 Business Overview
8.20.2 Financial Data
8.20.3 Technology Landscape
8.20.4 Strategic Outlook
8.20.5 SWOT Analysis
8.21 PrecisionHawk
8.21.1 Business Overview
8.21.2 Financial Data
8.21.3 Technology Landscape
8.21.4 Strategic Outlook
8.21.5 SWOT Analysis
8.22 Robert Bosch GmbH
8.22.1 Business Overview
8.22.2 Financial Data
8.22.3 Technology Landscape
8.22.4 Strategic Outlook
8.22.5 SWOT Analysis
8.23 Rowbot Systems
8.23.1 Business Overview
8.23.2 Financial Data
8.23.3 Technology Landscape
8.23.4 Strategic Outlook
8.23.5 SWOT Analysis
8.24 Yanmar Holdings Co., Ltd.
8.24.1 Business Overview
8.24.2 Financial Data
8.24.3 Technology Landscape
8.24.4 Strategic Outlook
8.24.5 SWOT Analysis
