Artificial Intelligence in Agriculture Market

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• Artificial Intelligence in Agriculture Market by
  Technology, Future Demands, and Key Players, 2026

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• Scope of The Report

• Research report categorizes the Artificial
  Intelligence in Agriculture Market
• based on Technology, Offering, Application and
  Geography.

• By Technology
• Machine Learning
• Computer Vision
• Predictive Analytics

• By Offering
• Software
• Hardware
• AI-as-a-Service
• Services

And More
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Key Segments
The overall AI in agriculture market is projected
to grow from an estimated USD 1.0 billion in 2020
to USD 4.0 billion by 2026, at a CAGR of 25.5
between 2020 and 2026.
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The market growth is propelled by the increasing
implementation of data generation through sensors
and aerial images for crops, increasing crop
productivity through deep-learning technology,
and government support for the adoption of modern
agricultural techniques.
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Browse 81 market data Tables and 40 Figures
spread through 152 Pages and in-depth TOC on
"Artificial Intelligence in Agriculture Market
By application, drone analytics segment projected
to register highest CAGR during forecast
period By technology, computer vision segment to
register highest CAGR during forecast period
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AI in agriculture market in APAC projected to
register highest CAGR from 2020 to 2026
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• Artificial Intelligence in Agriculture Market
  Growth Rate

2026
2020
CAGR of 5.9 
Market Size of 1.0 billion
Market Size of 4.0 billion
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• Key Vendors

Vendors

• International Business Machines Corp. (IBM) (US)
• Deere Company (John Deere) (US)
• Microsoft Corporation (Microsoft) (US)
• Farmers Edge Inc. (Farmers Edge) (Canada)
• The Climate Corporation (Climate Corp.) (US)
• ec2ce (ec2ce) (Spain)
• AgEagle Aerial Systems (AgEagle) (US)

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• Top Region..

• North America
• Europe
• APAC
• RoW

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• Key Questions Answered in Our Report

• 1. How will these developments impact the AI in
  agriculture market in the mid- and long-term?

2. What are the prevalent trends in the AI in
agriculture market?
3. What are the key strategies adopted by leading
companies in the AI in agriculture market?

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• In-depth analysis of patents profiles of key
  market players providing a competitive landscape
• Market data for segments such as technologies,
  services applications across geographies
• High level analysis of major market segments and
  identification of opportunities

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  structures, Drivers and Competitive Landscape

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• MarketsandMarkets Our Expertise

Our Expertise

• Compelling Business cases Market size Estimations
• Company Market Best Practices
• Entry or Go-To-Market strategies
• Market Dynamics, Positioning and Segmentations
• Competitive Landscaping and Benchmarking
• Opportunity Analysis
• Economic Forecasting
• Industry-specific Technology solutions
• Roadmap Analysis

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