Analysis of Digitization's Impact on Farm Mechanization

85–90% of the New Farm Equipment Sold in 2025 to Have a Precision Agriculture Component

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This study aims to research and analyse the new era of digital transformation in the farming industry and to assess the value proposition of these new technologies that address the expectations of farmers in transforming their business practices. Adoption of agricultural technology has become imperative for farmers, as they are facing tighter farm margins and declining commodity prices. The insights generated from the usage of technology in farming operations assist farmers in mitigating cost challenges and effectively improve production per acre. The inclusion of precision farming by adopting technologies such as Sensors, Drone Imagery, and Big Data analytics will have a positive impact on farming operations. Precision agriculture is slowly and steadily making inroads into developed countries, but is yet to make a mark in emerging economies. Variable rate technologies are one of the more commonly available technologies enabling better input optimisation. Frost & Sullivan’s research shows that 85–90% of the new farm equipment sold in 2025 will have a precision agriculture component.

Research Scope

The market trends are analysed for a study period of 2016 to 2025, with the base year being 2016.Technologies covered in the study are Precision Agriculture, Big Data, IoT, and autonomous systems. Farm equipment including tractors, harvesters, and sprayers are covered under the product scope of the study. The growing trend of digitalization in farming and precision agriculture is the key focus area in this study. The precision agriculture ecosystem consists of tractor OEMs, seeds and fertilizer manufacturers, technology companies, and hardware and software companies.

Companies mentioned in the competitive landscape of this study include John Deere, KUBOTA, Accenture, IBM, Intel, Videophone, Tech Mahindra, Mahindra & Mahindra, Trimble, Cisco, AT&T, CNH Industrial, and others.

The geographic scope of the study is global, which includes: Europe (All 28 European countries), Russia, United States, Brazil, Mexico, Africa (Kenya, Nigeria, Algeria, South Africa, Tanzania, and Uganda), Asia-Pacific (India, China, Japan, Thailand, Indonesia, Vietnam, Cambodia, and Australia).

Key Questions This Study Will Answer

·     What are the major trends in the adoption of digital transformation solutions and services in the farming sector?
·     What are the upcoming technologies involved in the agriculture industries?
·     What are the emerging business opportunities in the precision agriculture market?
·     What are the major digital initiatives taken up by OEMs in the technology front?
·     What are the drivers and restraints for digital technology adoption in the farming sector?
·     What lies ahead for farm equipment manufacturers, Tier 1 suppliers, and IoT service providers in the digital farming landscape?

Table of Contents

1. Executive Summary
Executive Summary—Key Findings
Executive Summary—Market Outlook
Executive Summary—Global Scenario
Key Areas Impacted by Digital Transformation
Recommendations for OEMs
Digitization of Farm Management Supply Chains
Digital Technology Drivers
2. Research Objectives, Background, and Methodology
Research Scope
Research Aim and Objectives
Research Methodology
3. Key Technologies Impacting Farm Management
Key Technologies Impacting Farm Management
Drone Application for Farm Management
Drone Technology—Global Adoption Footprint
Drones—Innovators’ Profile
Farm Management Software—Overview
Farm Management Software—Global Adoption Footprint
Farm Management Software—Innovators’ Profile
Precision Agriculture—Overview
Need For Precision Agriculture
Precision Farming—Key Technologies and Concepts
Precision Farming—Key Technologies Explained
Important Segments of Precision Agriculture
Application Trends—Precision Agriculture
Business Opportunities—Precision Agriculture
Need of IoT in Farm Equipment
Connected Tractors Pave the Way for Autonomous Systems
Connected Tractors—Application Segment
Connected Tractors—Application Segment Growth Analysis
Future Trend—Digitalization in Agriculture Retail Market
Autonomous Systems—Agriculture
Autonomous Tractors
Precision Agriculture to Big Data
Big Data Analytics
Technology Roadmap
Future Trend—Smart Farming
Smart Farming—Overview
Business Opportunities—Digitization in Agriculture
4. Digital Innovation in Agriculture—Best Practices
Farmers Business Network (FBN)—Software and Analytics
Planet—Satellite Imagery
FarmLogs—Farm Management Software
Orbital Insight—Geospatial Big Data Analytics
Companies to Watch
5. Digital Initiatives by OEMs
Telematics—John Deere
Precision Farming—John Deere
Telematics—New Holland
Precision Farming—AGCO
IoT Service Providers in the Farm Management Segment
6. IoT Service Providers in the Digital Farm Management Landscape
Trimble
Accenture—Digital Services
IBM
Tech Mahindra
Competitive Landscape—Precision Agriculture
7. Growth Opportunities
New Revenue Pocket— Customer Digital Experience Growth Opportunity
Digital Transformation—Global Opportunity
Strategic Imperatives for Success and Growth
8. Conclusions and Future Outlook
Key Conclusions and Future Outlook
Legal Disclaimer
9. Appendix
Frost & Sullivan Digital Transformation Framework
Digital Transformation Framework—Digital Ecosystem
Digital Transformation Framework—Business Models
Digital Transformation Framework—Business Functions
10. The Frost & Sullivan Story


List of Figures & Charts

1. Analysis of Digitization's Impact on Farm Mechanization: Digital Technology Drivers, Global, 2016–2025
2. Analysis of Digitization's Impact on Farm Mechanization: Key Questions this Study will Answer, Global, 2016–2025
3. Analysis of Digitization's Impact on Farm Mechanization: Drone Technology Adoption, Global, 2016–2025
4. Drone Technology Development Trends and Potential, Global, 2016–2024
5. Analysis of Digitization's Impact on Farm Mechanization: Drones Innovators Profile, Global, 2016–2025
6. Analysis of Digitization's Impact on Farm Mechanization: Farm Management Software Adoption Footprint, Global, 2016–2025
7. Analysis of Digitization's Impact on Farm Mechanization: Farm Management Software Innovators Profile, Global, 2016–2025
8. Analysis of Digitization's Impact on Farm Mechanization: Precision Agriculture Overview, Global, 2016–2025
9. Precision Farming: Crop Growth Cycle, Global, 2016—2025
10. Analysis of Digitization's Impact on Farm Mechanization: Need For Precision Agriculture, Global, 2016–2025
11. Analysis of Digitization's Impact on Farm Mechanization: Key Technologies and Concepts, Global, 2016–2025
12. Analysis of Digitization's Impact on Farm Mechanization: Key Segments of Precision Agriculture, Global, 2016–2025
13. Analysis of Digitization's Impact on Farm Mechanization: Need of IoT in Farm Equipment, Global, 2016–2025
14. Analysis of Digitization's Impact on Farm Mechanization: Connected Tractors, Global, 2016–2025
15. Analysis of Digitization's Impact on Farm Mechanization: Connected Tractors Application Segment, Global, 2016–2025
16. Analysis of Digitization's Impact on Farm Mechanization: Growth Impact of Application Segments, Global, 2016–2025
17. Analysis of Digitization's Impact on Farm Mechanization: Big Data Analytics in Agriculture, Global, 2016–2025
18. Analysis of Digitization's Impact on Farm Mechanization: Technology Roadmap, Global, 2017–2024
19. Analysis of Digitization's Impact on Farm Mechanization: Future Trend in Smart Farming, Global, 2016–2025
20. Analysis of Digitization's Impact on Farm Mechanization: Companies to Watch, Global, 2016–2025
21. Analysis of Digitization's Impact on Farm Mechanization: Telematics—John Deere, Global, 2016–2025
22. Analysis of Digitization's Impact on Farm Mechanization: Telematics—New Holland, Global, 2016–2025
23. Analysis of Digitization's Impact on Farm Mechanization: Precision Farming—AGCO, Global, 2016–2025
24. Analysis of Digitization's Impact on Farm Mechanization: IOT, Global, 2016–2025
25. Analysis of Digitization's Impact on Farm Mechanization: New Revenue Pocket, Global, 2016–2025





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