Global AI in Agriculture Market, 2025 by Technology (Machine Learning, Computer Vision, Predictive Analytics) & Application (Precision Farming, Drone Analytics, Robots, Livestock Monitoring)

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The AI in agriculture market is expected to grow from USD 518.7 Million in 2017 to USD 2,628.5 Million by 2025, at a CAGR of 22.5% between 2017 and 2025.

The major factors driving the growth of the AI in agriculture market include the growing demand for agricultural production owing to the increasing population, rising adoption of information management systems and new, advanced technologies for improving crop productivity, increasing crop productivity by implementing deep learning techniques, and growing initiatives by worldwide governments supporting the adoption of modern agricultural techniques.

The combination of the Internet of Things and artificial intelligence technologies, such as machine learning, computer vision, and predictive analytics, further allow farmers to analyze real-time data of weather conditions, temperature, soil moisture, plant health, and crop prices in the market.

The AI in agriculture market report has been segmented on the basis of offering, technology, application, and region. Based on offering, the AI in agriculture market has been classified into hardware, software, AI-as-a-Service, and service. The software segment held the largest market size in 2016. The market for the software segment is mainly driven by the integration of mobile technologies with farming techniques, growing use of artificial intelligence software to improve farm efficiency, and rising demand for real-time data management systems. The market for the hardware segment is expected to grow at the highest CAGR during the forecast period. The increasing demand for processors and data storage devices for farm operations is the major factor that is likely to contribute to the high growth rate of the hardware market in the coming years.

Market Dynamics

Drivers

  • Growing Demand for Agricultural Production Owing to Increasing Population
  • Rising Adoption of Information Management System and New, Advanced Technologies for Increasing Crop Productivity
  • Increasing Crop Productivity By Implementing Deep Learning Techniques
  • Growing Initiatives By Worldwide Governments Supporting Adoption of Modern Agricultural Techniques

Restraints

  • High Cost of Gathering Precise Field Data

Opportunities

  • Developing Countries to Offer Significant Growth Opportunities
  • Increasing Use of Unmanned Aerial Vehicles (UAVs) Or Drones in Agricultural Farms

Challenges

  • Lack of Standards
  • Technological Unawareness in Farmers About AI
  • Limited Availability of Historical Data

Key Topics Covered:

1 Introduction

2 Research Methodology

3 Executive Summary

4 Premium Insights

5 Market Overview

6 Industry Trends

7 Artificial Intelligence in Agriculture Market, By Technology

8 Artificial Intelligence in Agriculture Market, By Offering

9 Artificial Intelligence in Agriculture Market, By Application

10 Geographic Analysis

11 Competitive Landscape

12 Company Profiles

  • Agribotix
  • Autonomous Tractor Corporation
  • Awhere
  • Cainthus
  • Connecterra
  • Cropx
  • Deere & Company
  • Descartes Labs
  • Ec2ce
  • Farmbot
  • Gamaya
  • Granular
  • Harvest Croo
  • IBM
  • Key Innovators
  • Mavrx
  • Microsoft
  • Precision Hawk
  • Prospera
  • Resson
  • Skysquirrel Technologies
  • Spensa Technologies
  • The Climate Corporation (Subsidiary of Monsanto)
  • Trace Genomics
  • Tule Technologies
  • Vine Rangers
  • Vision Robotics

For more information about this report visit https://www.researchandmarkets.com/research/rnlrjx/global_ai_in?w=5

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Brad Bennett

Brad Bennett

Brad grew up in a small town in northern Iowa. He studied chemistry in college, graduated, and married his wife one month later. They were then blessed with two baby boys within the first four years of marriage. Having babies gave their family a desire to return to the old paths – to nourish their family with traditional, homegrown foods; rid their home of toxic chemicals and petroleum products; and give their boys a chance to know a simple, sustainable way of life. They are currently building a homestead from scratch on two little acres in central Texas. There’s a lot to be done to become somewhat self-sufficient, but they are debt-free and get to spend their days living this simple, good life together with their five young children.
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