Artificial Intelligence (AI) in Agriculture: Global Growth Opportunities

Information TechnologyArtificial Intelligence (AI) in Agriculture: Global Growth Opportunities

AI Adoption in Agriculture will Create New Business Growth Opportunities

RELEASE DATE
26-Aug-2022
REGION
Global
Deliverable Type
Market Research
Research Code: PD73-01-00-00-00
SKU: IT04570-GL-MT_26847
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Artificial Intelligence (AI) in Agriculture: Global Growth Opportunities
Published on: 26-Aug-2022 | SKU: IT04570-GL-MT_26847

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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

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Purchase includes:
  • Report download
  • Growth Dialog™ with our experts

Growth Dialog™

A tailored session with you where we identify the:
  • Strategic Imperatives
  • Growth Opportunities
  • Best Practices
  • Companies to Action

Impacting your company's future growth potential.

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
More Information
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
Podcast No
WIP Number PD73-01-00-00-00