Global Artificial Intelligence in Agriculture Market Report By Component (Hardware, Software, Service), By Technology (Machine Learning & Deep Learning, Predictive Analytics, Computer Vision), By Application (Precision Farming, Drone Analytics, Agriculture Robots, Livestock Monitoring, Others) And By Regions - Industry Trends, Size, Share, Growth, Estimation And Forecast, 2020-2027

ID:VMR11215511
July 2021
Report Formats:
Global Artificial Intelligence in Agriculture Market Overview
 
The key drivers impacting artificial intelligence in the agriculture market are the growing demand for agricultural production due to the mounting population. For instance, the World Population datasheet estimations show that the world population is anticipated to reach 9.9 billion by 2050, increasing over 25% from the present 2020 population of 7.8 billion. As a result, food demand can increase about 59% to 98% by the year 2050. Hence, the growing population increased demand for food which necessitates the need for IoT devices for monitoring and analyzing weather conditions, the status of crops, and soil. Moreover, the rising demand for high crop yield, growing focus on enhanced crop management contributes to artificial intelligence in agriculture market demand in the later years.
According to Value Market Research, the global artificial intelligence in the agriculture market size was valued at about USD 966.8 million in 2020 and is estimated to grow at a CAGR of around 26% during the forecast period 2021 to 2027.

The growing internet of things (IoT) penetration in the agriculture industry will likely augment the need for artificial intelligence in agriculture in the forecast period. Also, the utilization of drones for pesticide spraying is positively impacted market growth. However, the high cost of gathering precise field data hampers the market in the long run. In addition, the absence of a skilled workforce impedes the market growth. Nevertheless, the market trends, such as penetration into multiple applications such as military and digital signage and Use of AI solutions to manage small farms, might provide considerable opportunities to the market's leading players.

Artificial intelligence in the agriculture market is widespread, with many local and international players. The market leaders follow diverse strategies to strengthen their market, such as amalgamation, extending product portfolio, acquisitions, contracts, product upgrades to raise their market share globally. The key players in the report are Microsoft, Integrated IBM Corporation, Deere & Company, The Climate Corporation, AgEagle, Aerial Systems Inc., Granular, Inc., Tule Technologies Inc, Descartes Labs, Inc., Prospera Technologies, Taranis, aWhere Inc., GAMAYA, ec2ce, PrecisionHawk, VineView

Global Artificial Intelligence in Agriculture Market Share

In this research report, artificial intelligence in the agriculture market is segmented by component, technology, application, and region.

Analysis by Component:
By component, the report is segmented into hardware, software, service. The software segment dominates with the highest market share in the forecast period. It is due to the benefits of AI-enabled software for possible application areas, such as drone analytics and precision farming availability of famous predictive analytics-based software which include Watson decision platform by IBM Corporation, and See and Spray pesticide and AI Sowing App by Microsoft and herbicide distribution systems by Deere & Company. Moreover, artificial intelligence solutions facilitate farmers to decide the optimal dates for crop sowing, monitor crop yield, detect crop diseases and resolve the necessary amount of land, water, fertilizers, and pesticides, thereby contributes to the growth of the software segment in the forecast period.

Analysis by Technology:
By technology, the report is segmented into machine learning & deep learning, predictive analytics, and computer vision. The machine learning & deep learning segment dominates with the highest market share of 80% in the forecast period. It is because machine learning-enabled solutions are being considerably adopted by agricultural organizations and farmers globally to augment their farm productivity. Moreover, the application of machine learning to farm management systems, sensor data are developing into real artificial intelligence systems and expanding the scope of production enhancement, thereby contributes to the growth of machine learning & deep learning in the forecast period.

Analysis by Application: 
By Application, the report is divided into precision farming, drone analytics, agriculture robots, livestock monitoring, and others. The precision farming segment dominates with the highest market share in 2020. It is because precision farming is among the fastest-growing AI-enabled applications in agriculture. Moreover, the growing popularity of e- precision farming among farmers due to the increasing need for optimum yield production from the limited available resources is contributing to the increased market demand from the precision farming segment. 

Analysis by Region:
In the regional outlook of the global artificial intelligence in the agriculture market, the North America region dominates with the largest market share of 36% in 2020. It is due to the leading industrial automation industry and the adoption of artificial intelligence solutions in the region. Moreover, the improved purchasing power of the population, continuous investments in automation, considerable investments in IIoT, and increasing focus from governments on in-house AI equipment production contribute to the tremendous market growth across North America.

Market Segmentation covered in the Report:
By Component
  • Hardware
  • Software
  • Service
 
By Technology
  • Machine Learning & Deep Learning
  • Predictive Analytics
  • Computer Vision
 
By Application
  • Precision Farming
  • Drone Analytics
  • Agriculture Robots
  • Livestock Monitoring
  • Others
 
By Region
  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East and Africa

METHODOLOGY

This market research report has been produced by gathering information on the basis of primary and secondary research. Secondary research has been done by using various sources which include (but not limited to) Company Websites, Paid Data Sources, Technical Journals, Financial Reports, SEC Filings, and other different industry publications. 

If specific information is required which is not currently within the scope of the report, it can be provided as a part of customization. 

1 . PREFACE
       1.1. Report Description
           1.1.1. Objective
           1.1.2. Target Audience
           1.1.3. Unique Selling Proposition (USP) & offerings
       1.2. Research Scope
       1.3. Research Methodology
           1.3.1. Market Research Process
           1.3.2. Market Research Methodology
 
2 . EXECUTIVE SUMMARY
       2.1. Highlights of Market
       2.2. Global Market Snapshot
 
3 . ARTIFICIAL INTELLIGENCE IN AGRICULTURE – INDUSTRY ANALYSIS
       3.1. Introduction - Market Dynamics
       3.2. Market Drivers
       3.3. Market Restraints
       3.4. Opportunities
       3.5. Industry Trends
       3.6. Porter’s Five Force Analysis
       3.7. Market Attractiveness Analysis
           3.7.1 By Component
           3.7.2 By Technology
           3.7.3 By Application
           3.7.4 By Region
 
4 . VALUE CHAIN ANALYSIS
       4.1. Value Chain Analysis
       4.2. Raw Material Analysis
           4.2.1. List of Raw Materials
           4.2.2. Raw Material Manufactures List
           4.2.3. Price Trend of Key Raw Materials
       4.3. List of Potential Buyers
       4.4. Marketing Channel
           4.4.1. Direct Marketing
           4.4.2. Indirect Marketing
           4.4.3. Marketing Channel Development Trend
 
5 . IMPACT ANALYSIS OF COVID-19 OUTBREAK
       5.1. Impact Analysis of Covid-19 Outbreak
           5.1.1. Direct Impact on Production
           5.1.2. Supply Chain and Market Disruption
           5.1.3. Financial Impact on Firms and Financial Markets
       5.2. COVID-19 Impact Analysis by Production, Import, Export and Demand
       5.3. Market: Pre V/S Post COVID-19
       5.4. Estimated Impact of the Coronavirus (COVID-19) Epidemic
       5.5. COVID-19: Micro and Macro Factor Analysis
 
6 . GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET ANALYSIS BY COMPONENT
       6.1 Overview by Component
       6.2 Historical and Forecast Data
       6.3 Analysis by Component
       6.4 Hardware Market by Regions
       6.5 Software Market by Regions
       6.6 Service Market by Regions
 
7 . GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET ANALYSIS BY TECHNOLOGY
       7.1 Overview by Technology
       7.2 Historical and Forecast Data
       7.3 Analysis by Technology
       7.4 Machine Learning & Deep Learning Market by Regions
       7.5 Predictive Analytics Market by Regions
       7.6 Computer Vision Market by Regions
 
8 . GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET ANALYSIS BY APPLICATION
       8.1 Overview by Application
       8.2 Historical and Forecast Data
       8.3 Analysis by Application
       8.4 Precision Farming Market by Regions
       8.5 Drone Analytics Market by Regions
       8.6 Agriculture Robots Market by Regions
       8.7 Livestock Monitoring Market by Regions
       8.8 Others Market by Regions
 
9 . GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET ANALYSIS BY GEOGRAPHY
       9.1. Regional Outlook
       9.2. Introduction
       9.3. North America
           9.3.1. Overview, Historic and Forecast Data
           9.3.2. North America By Segment
           9.3.3. North America By Country
           9.3.4. United State
           9.3.5. Canada
           9.3.6. Mexico
       9.4. Europe
           9.4.1. Overview, Historic and Forecast Data
           9.4.2. Europe by Segment
           9.4.3. Europe by Country
           9.4.4. United Kingdom
           9.4.5. France
           9.4.6. Germany
           9.4.7. Italy
           9.4.8. Russia
           9.4.9. Rest Of Europe
       9.5. Asia Pacific
           9.5.1. Overview, Historic and Forecast Data
           9.5.2. Asia Pacific by Segment
           9.5.3. Asia Pacific by Country
           9.5.4. China
           9.5.5. India
           9.5.6. Japan
           9.5.7. South Korea
           9.5.8. Australia
           9.5.9. Rest Of Asia Pacific
       9.6. Latin America
           9.6.1. Overview, Historic and Forecast Data
           9.6.2. Latin America by Segment
           9.6.3. Latin America by Country
           9.6.4. Brazil
           9.6.5. Argentina
           9.6.6. Peru
           9.6.7. Chile
           9.6.8. Rest of Latin America
       9.7. Middle East & Africa
           9.7.1. Overview, Historic and Forecast Data
           9.7.2. Middle East & Africa by Segment
           9.7.3. Middle East & Africa by Country
           9.7.4. Saudi Arabia
           9.7.5. UAE
           9.7.6. Israel
           9.7.7. South Africa
           9.7.8. Rest Of Middle East And Africa
 
10 . COMPETITIVE LANDSCAPE OF THE ARTIFICIAL INTELLIGENCE IN AGRICULTURE COMPANIES
       10.1. Artificial Intelligence In Agriculture Market Competition
       10.2. Partnership/Collaboration/Agreement
       10.3. Merger And Acquisitions
       10.4. New Product Launch
       10.5. Other Developments
 
11 . COMPANY PROFILES OF ARTIFICIAL INTELLIGENCE IN AGRICULTURE INDUSTRY
       11.1. Company Share Analysis
       11.2. Market Concentration Rate
       11.3. Microsoft
           11.3.1. Company Overview
           11.3.2. Financials
           11.3.3. Products
           11.3.4. Recent Developments
       11.4. Integrated IBM Corporation
           11.4.1. Company Overview
           11.4.2. Financials
           11.4.3. Products
           11.4.4. Recent Developments
       11.5. Deere & Company
           11.5.1. Company Overview
           11.5.2. Financials
           11.5.3. Products
           11.5.4. Recent Developments
       11.6. The Climate Corporation
           11.6.1. Company Overview
           11.6.2. Financials
           11.6.3. Products
           11.6.4. Recent Developments
       11.7. AgEagle
           11.7.1. Company Overview
           11.7.2. Financials
           11.7.3. Products
           11.7.4. Recent Developments
       11.8. Aerial Systems Inc.
           11.8.1. Company Overview
           11.8.2. Financials
           11.8.3. Products
           11.8.4. Recent Developments
       11.9. Granular, Inc.
           11.9.1. Company Overview
           11.9.2. Financials
           11.9.3. Products
           11.9.4. Recent Developments
       11.10. Tule Technologies Inc
           11.10.1. Company Overview
           11.10.2. Financials
           11.10.3. Products
           11.10.4. Recent Developments
       11.11. Descartes Labs, Inc.
           11.11.1. Company Overview
           11.11.2. Financials
           11.11.3. Products
           11.11.4. Recent Developments
       11.12. Prospera Technologies
           11.12.1. Company Overview
           11.12.2. Financials
           11.12.3. Products
           11.12.4. Recent Developments
       11.13. Taranis
           11.13.1. Company Overview
           11.13.2. Financials
           11.13.3. Products
           11.13.4. Recent Developments
       11.14. aWhere Inc.
           11.14.1. Company Overview
           11.14.2. Financials
           11.14.3. Products
           11.14.4. Recent Developments
       11.15. GAMAYA
           11.15.1. Company Overview
           11.15.2. Financials
           11.15.3. Products
           11.15.4. Recent Developments
       11.16. ec2ce
           11.16.1. Company Overview
           11.16.2. Financials
           11.16.3. Products
           11.16.4. Recent Developments
       11.17. PrecisionHawk
           11.17.1. Company Overview
           11.17.2. Financials
           11.17.3. Products
           11.17.4. Recent Developments
       11.18. VineView
           11.18.1. Company Overview
           11.18.2. Financials
           11.18.3. Products
           11.18.4. Recent Developments
 
 *Note - in company profiling, financial details and recent development are subject to availability or might not be covered in case of private companies
 
LIST OF TABLES
 

  •  Market Snapshot
  •  Drivers : Impact Analysis
  •  Restraints : Impact Analysis
  •  List of Raw Material
  •  List of Raw Material Manufactures
  •  List of Potential Buyers
  •  COVID-19 Impact Analysis by Production, Import, Export and Demand
  •  Pre V/S Post COVID-19
  •  Estimated Impact Of The Coronavirus (Covid-19) Epidemic
  •  COVID-19: Micro and Macro Factor Analysis
  •  Analysis by Component (USD MN)
  •  Hardware Market by Geography (USD MN)
  •  Software Market by Geography (USD MN)
  •  Service Market by Geography (USD MN)
  •  Analysis Market by Technology (USD MN)
  •  Machine Learning & Deep Learning Market by Geography (USD MN)
  •  Predictive Analytics Market by Geography (USD MN)
  •  Computer Vision Market by Geography (USD MN)
  •  Analysis by Application (USD MN)
  •  Precision Farming Market by Geography (USD MN)
  •  Drone Analytics Market by Geography (USD MN)
  •  Agriculture Robots Market by Geography (USD MN)
  •  Livestock Monitoring Market by Geography (USD MN)
  •  Others Market by Geography (USD MN)
  •  Global Artificial Intelligence In Agriculture Market by Geography (USD MN)
  •  North America Market Analysis (USD MN)
  •  United State Market Analysis (USD MN)
  •  Canada Market Analysis (USD MN)
  •  Mexico Market Analysis (USD MN)
  •  Europe Market Analysis (USD MN)
  •  Europe Market Estimate by Country (USD MN)
  •  United Kingdom Market Analysis (USD MN)
  •  France Market Analysis (USD MN)
  •  Germany Market Analysis (USD MN)
  •  Italy Market Analysis (USD MN)
  •  Russia Market Analysis (USD MN)
  •  Spain Market Analysis (USD MN)
  •  Rest of Europe Market Analysis (USD MN)
  •  Asia Pacific Market Analysis (USD MN)
  •  China Market Analysis (USD MN)
  •  Japan Market Analysis (USD MN)
  •  India Market Analysis (USD MN)
  •  South Korea Market Analysis (USD MN)
  •  Australia Market Analysis (USD MN)
  •  Rest of Asia Pacific Market Analysis (USD MN)
  •  Latin America Market Analysis (USD MN)
  •  Brazil Market Analysis (USD MN)
  •  Argentina Market Analysis (USD MN)
  •  Peru Market Analysis (USD MN)
  •  Chile Market Analysis (USD MN)
  •  Rest of Latin America Market Analysis (USD MN)
  •  Middle East & Africa Market Analysis (USD MN)
  •  Saudi Arabia Market Analysis (USD MN)
  •  UAE Market Analysis (USD MN)
  •  Israel Market Analysis (USD MN)
  •  South Africa Market Analysis (USD MN)
  •  Rest of Middle East and Africa Market Analysis (USD MN)
  •  Partnership/Collaboration/Agreement
  •  Mergers And Acquisiton
 
 LIST OF FIGURES
 
  •  Research Scope of Artificial Intelligence In Agriculture Report
  •  Market Research Process
  •  Market Research Methodology
  •  Global Artificial Intelligence In Agriculture Market Size, by Region (USD MN)
  •  Porters Five Forces Analysis
  •  Market Attractiveness Analysis by Component
  •  Market Attractiveness Analysis by Technology
  •  Market Attractiveness Analysis by Application
  •  Market Attractiveness Analysis by Region
  •  Value Chain Analysis
  •  Global Market Analysis by Component (USD MN)
  •  Hardware Market by Geography (USD MN)
  •  Software Market by Geography (USD MN)
  •  Service Market by Geography (USD MN)
  •  Global Market Analysis by Technology (USD MN)
  •  Machine Learning & Deep Learning Market by Geography (USD MN)
  •  Predictive Analytics Market by Geography (USD MN)
  •  Computer Vision Market by Geography (USD MN)
  •  Global Market Analysis by Application (USD MN)
  •  Precision Farming Market by Geography (USD MN)
  •  Drone Analytics Market by Geography (USD MN)
  •  Agriculture Robots Market by Geography (USD MN)
  •  Livestock Monitoring Market by Geography (USD MN)
  •  Others Market by Geography (USD MN)
  •  Global Market by Revenue
  •  North America Market by Revenue
  •  Europe Market by Revenue
  •  Asia Pacific Market by Revenue
  •  Latin America Market by Revenue
  •  Middle East & Africa Market by Revenue
  •  Recent Development in Industry
  •  Company Market Share Analysis, 2020
 
 * Kindly note that the above listed are the basic tables and figures of the report and are not limited to the TOC.

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