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Global Artificial Intelligence (AI) in Agriculture Market By Type( Machine Learning, Computer Vision, Predictive Analytics ), By Application ( Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Others ), By Region, and Key Companies - Industry Segment Outlook, Market Assessment, Competition Scenario, Trends and Forecast 2020-2029
  • Report ID 134084
  • Published Date 17-Oct
  • Delivery Format PDF/PPT/Word
  • Editor's Rating
  • Report Details 
    The report on Artificial Intelligence (AI) in Agriculture Market offers in-depth analysis on market trends, drivers, restraints, opportunities etc. Along with qualitative information, this report include the quantitative analysis of various segments in terms of market share, growth, opportunity analysis, market value, etc. for the forecast years. The global artificial intelligence (ai) in agriculture market is segmented on the basis of Type, Application, and geography.
    
 The worldwide market for Artificial Intelligence (AI) in Agriculture Market is expected to grow at a CAGR of roughly x.x% over the next ten years, and will reach US$ XX.X Mn in 2028, from US$ XX.X Mn in 2018, according to a new Market.us (Prudour Research) study.
    

    Artificial Intelligence (AI) in Agriculture Market Scope:
    

    By type, the market is segmented into Machine Learning, Computer Vision, and Predictive Analytics. By Application, the market is divided into Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Others, and .
    
Based on geography, market is analyzed across North America, Europe, Asia-Pacific, Latin America, and Middle East and Africa. Major players profiled in the report include IBM, Intel, Microsoft, SAP, Agribotix, The Climate Corporation, Mavrx, aWhere, Precision Hawk, Granular, Prospera Technologies, Spensa Technologies, Resson, Vision Robotics, Harvest Croo Robotics, CropX, John Deere, Gamaya, and Cainthus.
    

    Key Market Segments
    

    Type
    

    Machine Learning
    

    Computer Vision
    

    Predictive Analytics
    

    Application
    

    Precision Farming
    

    Livestock Monitoring
    

    Drone Analytics
    

    Agriculture Robots
    

    Others
    

    Key Market Players included in the report:
    

    IBM
    

    Intel
    

    Microsoft
    

    SAP
    

    Agribotix
    

    The Climate Corporation
    

    Mavrx
    

    aWhere
    

    Precision Hawk
    

    Granular
    

    Prospera Technologies
    

    Spensa Technologies
    

    Resson
    

    Vision Robotics
    

    Harvest Croo Robotics
    

    CropX
    

    John Deere
    

    Gamaya
    

    Cainthus
    

    Reasons to Get this Report:
    

    In an insight outlook, this research report has dedicated to several quantities of analysis industry research (global industry trends) and Artificial Intelligence (AI) in Agriculture Market share analysis of high players, along with company profiles, and which collectively include about the fundamental opinions regarding the market landscape; emerging and high-growth sections of Artificial Intelligence (AI) in Agriculture Market; high-growth regions; and market drivers, restraints, and also market chances.
    
The analysis covers Artificial Intelligence (AI) in Agriculture Market and its advancements across different industry verticals as well as regions. It targets estimating the current market size and growth potential of the global Artificial Intelligence (AI) in Agriculture Market across sections such as also Application and representatives.
    
Additionally, the analysis also has a comprehensive review of the crucial players on the Artificial Intelligence (AI) in Agriculture Market together side their company profiles, SWOT analysis, latest advancements, and business plans.
    

    The analysis objectives of the report are:
    

    To equitably share in-depth info regarding the crucial elements impacting the increase of industry (growth capacity, chances, drivers, and industry-specific challenges and risks).
    
To know the Artificial Intelligence (AI) in Agriculture Market by pinpointing its many subsegments.
    
To profile the important players and analyze their growth plans.
    
To endeavor the amount and value of Artificial Intelligence (AI) in Agriculture sub-markets, depending on key regions (various vital states).
    
To analyze Artificial Intelligence (AI) in Agriculture Market concerning growth trends, prospects, and also their participation in the entire sector.
    
To examine and study the Artificial Intelligence (AI) in Agriculture Market size (volume & value) from the company, essential regions/countries, products, and Application, background information from 2012 to 2018, and also prediction to 2028.
    
Primary worldwide Artificial Intelligence (AI) in Agriculture Market manufacturing companies, to specify, clarify and analyze the product sales amount, value and market share, market rivalry landscape, SWOT analysis and development plans next coming years.
    
To examine competitive progress such as expansions, arrangements, new product launches, and acquisitions on the market.
  • Table Of Content

    1. Artificial Intelligence (AI) in Agriculture Market Introduction

    1.1. Definition
    1.2. Taxonomy
    1.3. Research Scope2. Executive Summary

    2.1. Key Findings by Major Segments
    2.2. Top strategies by Major Players3. Global Artificial Intelligence (AI) in Agriculture Market Overview

    3.1. Artificial Intelligence (AI) in Agriculture Market Dynamics

    3.1.1. Drivers
    3.1.2. Opportunities
    3.1.3. Restraints
    3.1.4. Challenges 3.2. PESTLE Analysis
    3.3. Opportunity Map Analysis
    3.4. PORTER’S Five Forces Analysis
    3.5. Market Competition Scenario Analysis
    3.6. Product Life Cycle Analysis
    3.7. Opportunity Orbits
    3.8. Manufacturer Intensity Map4. Global Artificial Intelligence (AI) in Agriculture Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by Type, 2012-2028

    4.1. Global Artificial Intelligence (AI) in Agriculture Market Analysis by Type: Introduction
    4.2. Market Size and Forecast by Region
    4.3. Machine Learning

    4.4. Computer Vision

    4.5. Predictive Analytics5. Global Artificial Intelligence (AI) in Agriculture Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by Application, 2012-2028

    5.1. Global Artificial Intelligence (AI) in Agriculture Market Analysis by Application: Introduction
    5.2. Market Size and Forecast by Region
    5.3. Precision Farming

    5.4. Livestock Monitoring

    5.5. Drone Analytics

    5.6. Agriculture Robots

    5.7. Others

    5.8.6. Global Artificial Intelligence (AI) in Agriculture Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by Region, 2012-2028

    6.1. North America

    6.1.1. North America Artificial Intelligence (AI) in Agriculture Market: Regional Trend Analysis

    6.1.1.1. US
    6.1.1.2. Canada
    6.1.1.3. Mexico

    6.2.1. Europe

    6.2.1. Europe Artificial Intelligence (AI) in Agriculture Market: Regional Trend Analysis

    6.2.1.1. Germany
    6.2.1.2. France
    6.2.1.3. UK
    6.2.1.4. Russia
    6.2.1.5. Italy
    6.2.1.6. Spain
    6.2.1.7. Rest of Europe

    6.3. Asia-Pacific

    6.3.1. Asia-Pacific Artificial Intelligence (AI) in Agriculture Market: Regional Trend Analysis

    6.3.1.1. China
    6.3.1.2. Japan
    6.3.1.3. Korea
    6.3.1.4. India
    6.3.1.5. Rest of Asia

    6.4. Latin America

    6.4.1. Latin America Artificial Intelligence (AI) in Agriculture Market: Regional Trend Analysis

    6.4.1.1. Brazil
    6.4.1.2. Argentina
    6.4.1.3. Rest of Latin America

    6.5. Middle East and Africa

    6.5.1. Middle East and Africa Artificial Intelligence (AI) in Agriculture Market: Regional Trend Analysis

    6.5.1.1. GCC
    6.5.1.2. South Africa
    6.5.1.3. Israel
    6.5.1.4. Rest of MEA
    7. Global Artificial Intelligence (AI) in Agriculture Market Competitive Landscape, Market Share Analysis, and Company Profiles

    7.1. Market Share Analysis
    7.2. Company Profiles
    7.3. IBM

    7.3.1. Company Overview
    7.3.2. Financial Highlights
    7.3.3. Product Portfolio
    7.3.4. SWOT Analysis
    7.3.5. Key Strategies and Developments 7.4. Intel

    7.4.1. Company Overview
    7.4.2. Financial Highlights
    7.4.3. Product Portfolio
    7.4.4. SWOT Analysis
    7.4.5. Key Strategies and Developments 7.5. Microsoft

    7.5.1. Company Overview
    7.5.2. Financial Highlights
    7.5.3. Product Portfolio
    7.5.4. SWOT Analysis
    7.5.5. Key Strategies and Developments 7.6. SAP

    7.6.1. Company Overview
    7.6.2. Financial Highlights
    7.6.3. Product Portfolio
    7.6.4. SWOT Analysis
    7.6.5. Key Strategies and Developments 7.7. Agribotix

    7.7.1. Company Overview
    7.7.2. Financial Highlights
    7.7.3. Product Portfolio
    7.7.4. SWOT Analysis
    7.7.5. Key Strategies and Developments 7.8. The Climate Corporation

    7.8.1. Company Overview
    7.8.2. Financial Highlights
    7.8.3. Product Portfolio
    7.8.4. SWOT Analysis
    7.8.5. Key Strategies and Developments 7.9. Mavrx

    7.9.1. Company Overview
    7.9.2. Financial Highlights
    7.9.3. Product Portfolio
    7.9.4. SWOT Analysis
    7.9.5. Key Strategies and Developments 7.10. aWhere

    7.10.1. Company Overview
    7.10.2. Financial Highlights
    7.10.3. Product Portfolio
    7.10.4. SWOT Analysis
    7.10.5. Key Strategies and Developments 7.11. Precision Hawk

    7.11.1. Company Overview
    7.11.2. Financial Highlights
    7.11.3. Product Portfolio
    7.11.4. SWOT Analysis
    7.11.5. Key Strategies and Developments 7.12. Granular

    7.12.1. Company Overview
    7.12.2. Financial Highlights
    7.12.3. Product Portfolio
    7.12.4. SWOT Analysis
    7.12.5. Key Strategies and Developments 7.13. Prospera Technologies

    7.13.1. Company Overview
    7.13.2. Financial Highlights
    7.13.3. Product Portfolio
    7.13.4. SWOT Analysis
    7.13.5. Key Strategies and Developments 7.14. Spensa Technologies

    7.14.1. Company Overview
    7.14.2. Financial Highlights
    7.14.3. Product Portfolio
    7.14.4. SWOT Analysis
    7.14.5. Key Strategies and Developments 7.15. Resson

    7.15.1. Company Overview
    7.15.2. Financial Highlights
    7.15.3. Product Portfolio
    7.15.4. SWOT Analysis
    7.15.5. Key Strategies and Developments 7.16. Vision Robotics

    7.16.1. Company Overview
    7.16.2. Financial Highlights
    7.16.3. Product Portfolio
    7.16.4. SWOT Analysis
    7.16.5. Key Strategies and Developments 7.17. Harvest Croo Robotics

    7.17.1. Company Overview
    7.17.2. Financial Highlights
    7.17.3. Product Portfolio
    7.17.4. SWOT Analysis
    7.17.5. Key Strategies and Developments 7.18. CropX

    7.18.1. Company Overview
    7.18.2. Financial Highlights
    7.18.3. Product Portfolio
    7.18.4. SWOT Analysis
    7.18.5. Key Strategies and Developments 7.19. John Deere

    7.19.1. Company Overview
    7.19.2. Financial Highlights
    7.19.3. Product Portfolio
    7.19.4. SWOT Analysis
    7.19.5. Key Strategies and Developments 7.20. Gamaya

    7.20.1. Company Overview
    7.20.2. Financial Highlights
    7.20.3. Product Portfolio
    7.20.4. SWOT Analysis
    7.20.5. Key Strategies and Developments 7.21. Cainthus

    7.21.1. Company Overview
    7.21.2. Financial Highlights
    7.21.3. Product Portfolio
    7.21.4. SWOT Analysis
    7.21.5. Key Strategies and Developments

    8. Assumptions and Acronyms
    9. Research Methodology
    10. Contact

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    • Technology Trends and DynamicsTechnology Trends and Dynamics
    • Technology AssessmentTechnology Assessment
 
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