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Global Artificial Intelligence (AI) In Agriculture market Trends, Analysis, And Forecasts To 2025
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Artificial Intelligence (AI) is emerging as a significant solution towards the improved agricultural productivity. As AI is the mainstay of robotics, increasing adoption of robotics in agricultural sector for better crop yield and increased consumption power has expected to drive the market. Gradual shift of farmers towards robots, smart sensors, automated machines, drones, and growing trends of precision farming have spurred the market.

Rising demand from increasing population, adoption of advance technologies and Information Management System (IMS) for crop productivity and government initiatives for modern agro-techniques adoption are the probable reasons to foster the market over the forecast period. Moreover, the application of machine learning enabled solutions and predictive analysis in various agricultural practices are anticipated to rise exponentially.

Other factor driving the market is raising demand for improved food quality along with focused farm productivity. Precision farming technologies help in creating traditional agricultural activities more predictable & efficient. Raising implementation of AgriBots in farming applications for improving crop health and monitoring productivity will also benefit the industry growth.

However, high cost involved for gathering accurate field data acts as a barrier for the market. In addition, lack of standards, unawareness of farmers for AI technology and limited historical data availability may also hinder the growth of the market. Although, increasing demand for Unmanned Aerial Vehicles (UAVs) and growth opportunities offered by various emerging countries in North America and APAC have paved a steady path for the growth of AI in agriculture industry.

Global AI in agricultural market has been segmented by technology and application.  Based on technology, the market is segregated into Predictive Analysis, Computer Vision, and Machine Learning. Application segment includes Drone Analytics, Livestock Monitoring, Precision Farming, and Agriculture Robots. The rapid usage of Computer Vision Technology including plant image recognition, and the increasing demand for crop health analyses and continuous monitoring are the key factors contributing to the growth of this segment. Also, market for drone analytics is estimated to grow owing to the extensive application for making real-time decisions as well as for diagnosing and mapping of crop health. Furthermore, satisfactory government rules and regulations for drones in agricultural sector  is anticipated to fuel the growth of drone analytics application.

North America has been witnessed as the largest market for AI in agriculture. The rising demand for advanced agricultural technologies among the large-scale market players is anticipated to spur the market growth in this region. AI technology application aims to improve the productivity and crop management techniques. The rising adoption of computer vision technologies and deep learning for AI applications is one of the key drivers for the market expansion in the APAC countries such as China, and India over the forecast period.

Major market players are Iteris, Trimble, Agrosmart,  Farmlogs, AGCO Corporation, Agworld,  Granular, Gamaya, Hortau, aWhere,  Grownetics, John Deere, Scicorp, Pycno, and Raven Industries. These key players are adopting marketing strategies including merger & acquisitions, R&D, collaboration, product launch, and global expansion.

Companies such as Blue River Technology are using robotics and automation to support farmers finding more effective ways to protect their crops from weeds. The company has manufactured a robot called See & Spray which controls via computer vision to monitor and precision spray on cotton plants. In September 2017, chief manufacturing company, John Deere acquired the Blue River Technology and the company is supposedly investing $305 million to complete this transition.

Table of Content

  1. EXECUTIVE SUMMARY
  2. RESEARCH METHODOLOGY
    1. Market Definition
    2. Market Scope
    3. Data Sources
  3. MARKET DYNAMICS
    1. Market Drivers
    2. Market Restraints
    3. Market Opportunities
  4. INDUSTRY OVERVIEW
    1. Value Chain Analysis
    2. Porter’s Five Forces Analysis
    3. Key Trends
  5. GLOBAL AI IN AGRICULTURE MARKET, BY TECHNOLOGY (2017-2025)
    1. Global AI in Agriculture Market by Predictive Analysis
    2. Global AI in Agriculture Market by Computer Vision
    3. Global AI in Agriculture Market by Machine Learning
  6. GLOBAL AI IN AGRICULTURE MARKET, BY APPLICATION (2017-2025)
    1. Global AI in Agriculture Market by Drone Analytics
    2. Global AI in Agriculture Market by Livestock Monitoring  
    3. Global AI in Agriculture Market by Precision Farming 
    4. Global AI in Agriculture Market by Agriculture Robots
  7. GLOBAL AI IN AGRICULTURE MARKET, BY REGIONS (2017-2025)
    1. North America AI in Agriculture Market
      1. North America AI in Agriculture Market by Technology
      2. North America AI in Agriculture Market by Application
      3. North America AI in Agriculture Market by Country
        1. U.S. AI in Agriculture Market
        2. Rest of North America AI in Agriculture Market
    2. Europe AI in Agriculture Market
      1. Europe AI in Agriculture Market by Technology
      2. Europe AI in Agriculture Market by Application
      3. Europe AI in Agriculture Market by Country
        1. France AI in Agriculture Market
        2. Germany AI in Agriculture Market
        3. U.K AI in Agriculture Market
        4. Rest of Europe AI in Agriculture Market
    3. Asia Pacific AI in Agriculture Market
      1. Asia-Pacific AI in Agriculture Market by Technology
      2. Asia-Pacific AI in Agriculture Market by Application
      3. Asia-Pacific AI in Agriculture Market by Country
        1. China AI in Agriculture Market
        2. Japan AI in Agriculture Market
        3. India AI in Agriculture Market
        4. Rest of Asia Pacific AI in Agriculture Market
    4. Middle East & Africa AI in Agriculture Market
      1. Middle East & Africa AI in Agriculture Market by Technology
      2. Middle East & Africa AI in Agriculture Market by Application
      3. Middle East & Africa AI in Agriculture Market by Country
        1. GCC AI in Agriculture Market
        2. North Africa AI in Agriculture Market
        3. South Africa AI in Agriculture Market
        4. Rest of Middle East & Africa AI in Agriculture Market
    5. Latin America AI in Agriculture Market
      1. Latin America AI in Agriculture Market by Technology
      2. Latin America AI in Agriculture Market by Application
      3. Latin America AI in Agriculture Market by Country
        1. Brazil AI in Agriculture Market
        2. Rest of Latin America AI in Agriculture Market

 

  1. MARKET COMPETITION ANALYSIS
    1. Market Share/Positioning Analysis
    2. Key Innovators
    3. Company Profiles
      1. Iteris Inc.        
        1. Overview
        2. Type/Service Offerings
        3. Strategy
        4. Key Developments
      2. Trimble Inc.
        1. Overview
        2. Type/Service Offerings
        3. Strategy
        4. Key Developments
      3. John Deere
        1. Overview
        2. Type/Service Offerings
        3. Strategy
        4. Key Developments
      4. AGCO Corporation
        1. Type/Service Offerings
        2. Strategy
        3. Key Developments
      5. Agworld Pty Ltd
        1. Overview
        2. Type/Service Offerings
        3. Strategy
        4. Key Developments
      6. Hortau’s Irrigation Management Service  
        1. Overview
        2. Type/Service Offerings
        3. Strategy
        4. Key Developments
      7. Grownetics Agricultural Services
        1. Overview
        2. Type/Service Offerings
        3. Strategy
        4. Key Developments
      8. Raven Industries
        1. Overview
        2. Type/Service Offerings
        3. Strategy
        4. Key Developments
      9. Pycno
        1. Overview
        2. Type/Service Offerings
        3. Strategy
        4. Key Developments
      10.  Service Corporation International
        1. Overview
        2. Type/Service Offerings
        3. Strategy
        4. Key Developments

 

Research Methodology

This research study involved the usage of extensive secondary sources; directories; databases such as Hoovers, Bloomberg Business, Factiva, and Avention; white papers; annual reports; company house documents; and SEC filings of companies. Secondary research was mainly used to identify and collect information useful for the extensive, technical, market-oriented, and commercial study of the market. It was also used to obtain key information about the market classification and segmentation according to the industry trends, regional markets, and developments related to the market and technology perspectives. Primary sources were mainly several industry experts from core and related industries; and preferred suppliers, manufacturers, distributors, service providers, technology developers, researchers, and organizations related to all segments of this industry‘s value chain. In-depth interviews were conducted from various primary respondents which included key industry participants, subject-matter experts (SMEs), C-level executives of key market players, and industry consultants, among other experts, to obtain and verify critical qualitative and quantitative information as well as to assess future prospects. The following figure shows the market research methodology applied in making this report.



After the complete market engineering (which includes calculations for market statistics, market breakdown, market size estimation, market forecasting, and data triangulation), extensive primary research was conducted to gather information and to verify and validate the critical numbers arrived at. Primary research was also conducted to identify the segmentation types and key market dynamics such as drivers, restraints, and opportunities.

In the complete market engineering process, both top-down and bottom-up approaches were extensively used along with several data triangulation methods to perform market estimation and market forecasting for the overall market segments and subsegments listed in this report. Extensive qualitative and quantitative analysis was performed on the complete market engineering process to list key information/insights throughout the report.

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