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AI Adoption in Agriculture will Create New Business Growth Opportunities
26-Aug-2022
Global
Market Research
PD73-01-00-00-00
IT04570-GL-MT_26847
In this research service, Frost & Sullivan analyzes the core capabilities of AI technology in the agriculture industry. The study examines the growth environment that drives new use-cases and greater adoption as AI-based solutions are adding new value to ??farming operations. The core essence of digital agriculture practices is to create actionable intelligence and meaningful added value from data analysis beyond the present-day usage of data. The scope of AI technology does not stop at improving productivity by measuring farmland status and ensuring optimal cultivation; AI will also be linked to insurance to manage the risks associated with crop safety.
Frost & Sullivan offers insights for stakeholders by identifying the benefits of AI technology in the agriculture sector. The study examines the key trends in terms of adoption and technology readiness, as follows:
• The rising adoption of sensors will aid the tracking of real-time data and metrics, thereby enabling AI readiness.
• AI allows the operation of unmanned intelligent agricultural machinery.
• Maturing integrated computer vision and deep learning technologies are enhancing AI capabilities.
• Governments are focusing on regulations and initiatives to drive AI adoption.
Digital agriculture initiatives that incorporate AI technology will tackle on-site problems on the farm to secure food safety and improve farm economy. Owing to these trends, a growing number of participants, including start-ups, will increase their AI-powered solution offerings.
The study also offers direction to technology vendors in terms of prioritizing their strategic focus and building new capabilities to capitalize on the emerging growth opportunities in the deployment of AI-led agricultural solutions.
Author: Youngso Lee
Why is it Increasingly Difficult to Grow?
The Strategic Imperative 8™
The Impact of the Top 3 Strategic Imperatives on the Artificial Intelligence in Agriculture Industry
Growth Opportunities Fuel the Growth Pipeline Engine™
Use of Digital Agriculture Solutions
Key Role of AI Technology Vendors in Digital Agriculture
Key Challenges in the Traditional Agriculture Industry
Digital Agriculture Market Technologies
Digital Agriculture Target Customers
Digital Agriculture Solutions—Pricing Structure
The Agriculture Sector is Increasingly Deploying AI Technologies to Support New Use-Cases
Growth Drivers
The Agriculture Industry is Facing Multiple Crucial Challenges in the Implementation of AI Initiatives
Growth Restraints
AI Aids the Decision-making Process
Sophisticated AI Algorithms Aid the Automation of Multiple Tasks
AI Adoption Use-Cases
AI Adoption Use-Cases (continued)
Key Takeaways
The RDE
The RDE
AI Allows the Operation of Unmanned Intelligent Agricultural Machinery
AI Allows the Operation of Unmanned Intelligent Agricultural Machinery
Maturing Integrated Computer Vision and Deep Learning Technologies are nhancing AI Capabilities
Maturing Integrated Computer Vision and Deep Learning Technologies are nhancing AI Capabilities
Governments are Focusing on Regulations and Initiatives to Drive AI Adoption
Governments are Focusing on Regulations and Initiatives to Drive AI Adoption
Key Government Digital Agriculture Initiatives by Region
Key Government Digital Agriculture Initiatives by Region (continued)
Key Government Digital Agriculture Initiatives by Region (continued)
Key Government Digital Agriculture Initiatives by Region (continued)
Key Government Digital Agriculture Initiatives by Region (continued)
AI-powered Digital Farming Technologies Developed by Tech Giants
AI-powered Digital Farming Technologies for Sustainable Agriculture
AI-powered Digital Farming Technologies for Sustainable Agriculture (continued)
AI-powered Digital Farming Technologies for Sustainable Agriculture (continued)
AI-powered Digital Farming Technologies for Sustainable Agriculture (continued)
Growth Opportunity 1: Management Platform Optimization to Increase Operational Efficiency and Outcome Effectiveness
Growth Opportunity 1: Management Platform Optimization to Increase Operational Efficiency and Outcome Effectiveness (continued)
Growth Opportunity 2: Supply Chain Digitalization to Improve the Economic Stability of the Agriculture Industry
Growth Opportunity 2: Supply Chain Digitalization to Improve the Economic Stability of the Agriculture Industry (continued)
Growth Opportunity 3: Farming-as-a-Service to Encourage Ease of AI Adoption
Growth Opportunity 3: Farming-as-a-Service to Encourage Ease of AI Adoption (continued)
Respondent Profile
List of Exhibits
Legal Disclaimer
List of Figures
- Main Purposes for Implementing AI Technologies in Agriculture, Global, 2021
- Artificial Intelligence in Agriculture: Growth Drivers, Global, 2022–2028
- Challenges in AI Implementation in Agriculture, Global, 2021
- Artificial Intelligence in Agriculture: Growth Restraints, Global, 2022–2028
- Key Regional Approaches in Digital Agriculture, 2020–2021
- AI Survey, Global, 2021
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| Deliverable Type | Market Research |
|---|---|
| Author | Youngso Lee |
| Industries | Information Technology |
| No Index | No |
| Is Prebook | No |
| Keyword 1 | AI in Agriculture Market |
| Keyword 2 | AI technology in agriculture industry |
| Keyword 3 | Artificial Intelligence in Agriculture |
| List of Charts and Figures | Main Purposes for Implementing AI Technologies in Agriculture, Global, 2021~ Artificial Intelligence in Agriculture: Growth Drivers, Global, 2022–2028~ Challenges in AI Implementation in Agriculture, Global, 2021~ Artificial Intelligence in Agriculture: Growth Restraints, Global, 2022–2028~ Key Regional Approaches in Digital Agriculture, 2020–2021~ AI Survey, Global, 2021~ |
| Podcast | No |
| WIP Number | PD73-01-00-00-00 |