Global Artificial Intelligence (AI) in Agriculture Market

Global Artificial Intelligence (AI) in Agriculture Market:

Focus on Product Type (Software, Hardware, AI-as-a-Service), Farming Type (Field Farming, Livestock, Indoor), Application (Crop Protection, Weather Forecasting, Automation), Funding – Analysis and Forecast, 2019-2024

The Global Artificial Intelligence (AI) in Agriculture Market Analysis by BIS Research projects the market is anticipated to reach $3,807.3 million by 2024.

SKU: AG048A
Published Year: 2019
 

Market Report Coverage - Artificial Intelligence (AI) in Agriculture

Base Year

2018

Market Size

$1,091.9 million

Forecast Period

2019-2024

Value Projection and Estimation by 2024

$3,807.3 million

CAGR During Forecast Period

28.38%

Number of Tables

49

Number of Pages

293

Number of Figures

129

Research Hours

 1080

 

 

Market Segmentation

• Product Offering - software, hardware, artificial intelligence-as-a-service (aiaas), and support services

• Farming Type - field farming, indoor farming, livestock farming, and others
• Application - crops, fruits, vegetables, and other plants (crop protection, weather forecasting, precision farming, farm machinery automation, crop growth assessment, and others) and livestock and aquaculture (animal growth monitoring, animal health monitoring, others)

Regional Segmentation

• North America - U.S., Canada, Rest-of-North America
• Europe - Germany, U.K., France, Italy, Netherlands, Spain, and Rest-of-Europe
• Asia-Pacific - Australia, China, Japan, India, and Rest-of-Asia-Pacific
• Rest-of-the-World - Brazil, Argentina, Israel, South Africa, and remaining-of-RoW

Growth Drivers

• Growing Need for Precision and Efficiency in Agricultural Operations

• Emerging Complexities in Data-Driven AI Farming
• Rising Demand for Autonomous Equipment

Market Challenges

• Data Privacy Concerns Among Farmers
• Lack of Technical Infrastructure in Developing Countries

Market Opportunities

• Favorable Government Initiatives to Support Use of AI for Agriculture

• Increase in Implementation of Robots and Drones in Agriculture

• Rise in Adoption of SaaS Business Model in Agriculture

Key Agriculture AI Companies Profiled

• Public Companies
o Existing Players: Alibaba Group Holding Limited, AgEagle Aerial Systems Inc., BASF SE, The Climate Corporation (A Bayer AG Company), Deere & Company, IBM Corporation, JD.com, Inc., Microsoft Corporation, Robert Bosch GmbH, SAP SE,
o Emerging Market Players: AGCO Corporation, Capgemini SE, Cargill, Inc., CNH Industrial N.V.,   Iteris, Inc., Lindsay Corporation
• Private Companies
o Existing Players: Connecterra B.V., Descartes Labs, Inc., Gamaya SA, Granular Inc., Harvest Croo Robotics, LLC, PrecisionHawk Inc., Prospera Technologies Ltd., Root AI, Inc., SZ DJI Technology Co. Ltd, VineView
o Emerging Market Players: Abundant Robotics Inc., Aquabyte, Inc., aWhere Inc., Ceres Imaging Inc.,  Delair,   ecoRobotix Ltd., Farmers Edge,  Taranis Ag,  XAG Co., Ltd.

 

Key Questions Answered

  • What is the estimated global artificial intelligence in agriculture market size in terms of value during the period 2019-2024?
  • What are the market dynamics, including drivers, restraints, and opportunities influencing the market?
  • What is the funding and investment landscape in the global AI in agriculture market?
  • Which are the leading consortiums and associations in the AI in agriculture market, and what are their roles in the market?
  • What does the technology ecosystem of the global artificial intelligence in agriculture market constitute of?
  • How much revenue is projected to be generated by the market during the forecast period from 2019 to 2024, on the basis of segments such as
    • product offering, including software, hardware, artificial intelligence-as-a-service, and support services
    • farming type, including field, indoor, livestock farming, and others
    • region, including North America, Europe, Asia-Pacific, and Rest-of-the-World (ROW)
  • How much revenue is projected to be generated by the applications of artificial intelligence in agriculture, including sub segments such as crop, fruit, and vegetable farming along with livestock and aquaculture farming during the forecast period from 2019 to 2024?
  • What is the competitive strength of the key players operating in the market on the basis of the analysis of the recent developments, product offerings, and regional presence?
  • Where do the key agricultural AI analytics companies lie in their competitive benchmarking graph on the basis of their market coverage and market potential?
  • What is the SWOT analysis for leading companies in the artificial intelligence in agriculture market?

Market Overview

The market report includes certain macroeconomic trends that are severely influencing the changing demands and dynamics of the global agriculture industry. The apprehensions and pressure on the agriculture and farming industry owing to the rapidly growing demand for global food production is pushing the farmers to enhance profitability with AI farming in case of  slowing yield trends for several staple crops. Due the presence of such challenges, the growers and the global agriculture industry is turning toward technology to turn AI solutions for farmers in the industry in a crop production process. Introduction of AI in farming with automation is recognized as precision agriculture, an emerging phenomenon to improve farm productivity.

Precision agriculture includes a wide array of AI technologies in agriculture such as analytics, sensing technologies, guidance technologies along with other precision technologies that help in curtailing the misutilization of agri-inputs and enable efficient use of AI for farming with profitability. The commencement of precision agriculture technologies has also ensued the generation of hundreds of thousands of data points on farms. To pilot through the big data generated in farms and to attain efficient artificial farming solutions, the industry is bringing about significant product innovations in farm data analysis with the help of application of artificial intelligence in agriculture industry.

Artificial intelligence technologies help farmers in optimizing their planning to generate profitable crop yields using predictable analytics for agri-input choices and farm process planning. The forecast of results for these agricultural processes in the market are powered by AI sensors and imaging equipment. The presence of these AI-based software and hardware products and services in the agriculture market has led to an optimistic growth of the precision agriculture market.

Artificial Intelligence (AI) in Agriculture Market

The artificial intelligence in agriculture market is projected to grow from $1,091.9 million in 2019. The high growth in the market is expected to be driven by the increasing need to optimize farm operation planning, growing demand to derive insights from emerging complexities of data-driven farming, and rising development of autonomous equipment in agriculture.

The expanding demand for global food production along with the burden of providing constant supply of high-quality farm produce has developed an alarming situation for the producers across the world. These farm producers are struggling to augment the produce per hectare. Furthermore, shrinking agricultural lands and scarcity of natural resources available has given rise to the urgency for resolving the concern.

Competitive Landscape

The competitive landscape for the use of artificial intelligence in agriculture market establishes an inclination of AI agriculture companies toward adopting strategies such as collaborations, joint ventures, product launches, and development and partnerships.

The key established companies in the market are focusing on product launches and ways to improve existing and introduce new technologies.

The market is extremely fragmented with the presence of various small- to medium-sized organizations that are competing with each other and several large enterprises as well. The major companies operating in this market have increased the volume of their product launch activities over the recent years. This has been one of the most widely adopted strategies by the players in this market.  

The presence of appropriate regulatory environment along with extensive R&D activities are the criteria for the continuous growth of this market. Several private research institutes, favorable trade policies, and government initiatives are collectively making substantial efforts to ascertain the benefits of these AI solutions for agriculture industry for augmenting the global food production. The increase in adoption of sophisticated and smart farming techniques is essential for bridging the demand and supply gap along with accomplishing sustainability in production.

   Executive Summary
   1    Market Dynamics
         1.1    Overview
         1.2    Impact Analysis
         1.3    Market Drivers
                  1.3.1    Growing Need for Precision and Efficiency in Agricultural Operations
                  1.3.2    Emerging Complexities in Data-Driven Farming
                  1.3.3    Rising Demand for Autonomous Equipment
         1.4    Market Restraints
                  1.4.1    Data Privacy Concerns Among Farmers
                  1.4.2    Lack of Technical Infrastructure in Developing Countries
         1.5    Market Opportunities
                  1.5.1    Favorable Government Initiatives to Support AI in Agriculture
                  1.5.2    Increase in Implementation of Robots and Drones in Agriculture
                  1.5.3    Rise in Adoption of SaaS Business Model in Agriculture
 
   2    Competitive Insights
         2.1    Key Strategies and Developments
                  2.1.1    Partnerships, Collaborations, and Joint Ventures
                  2.1.2    Product Launches and Developments
                  2.1.3    Business Expansions and Contracts
                  2.1.4    Mergers and Acquisitions
                  2.1.5    Others (Awards and Recognition)
         2.2    Competitive Benchmarking of Agricultural AI Analytics Companies
 
   3    Industry Analysis
         3.1    Artificial Intelligence in Agriculture: Technology Ecosystem
                  3.1.1    AI Technology Stack
                              3.1.1.1    AI-Powered Technologies
                                             3.1.1.1.1    Machine Learning
                                             3.1.1.1.2    Computer Vision
                                             3.1.1.1.3    Deep Learning
                                             3.1.1.1.4    Speech Recognition Technology
                                             3.1.1.1.5    Other Technologies
                              3.1.1.2    Hardware
                                             3.1.1.2.1    Memory
                                             3.1.1.2.2    Storage
                                             3.1.1.2.3    Logic
                                             3.1.1.2.4    Networking
                              3.1.1.3    Others
                              3.1.1.4    AI Technology Classifications
                                             3.1.1.4.1    AI Technology (by Functionality)
                                                               3.1.1.4.1.1    Reactive Machines
                                                               3.1.1.4.1.2    Limited Memory
                                                               3.1.1.4.1.3    Theory of Mind
                                                               3.1.1.4.1.4    Self-Awareness
                                             3.1.1.4.2    AI Technology (by Capability)
                                                               3.1.1.4.2.1    Weak AI
                                                               3.1.1.4.2.2    General AI
                                                               3.1.1.4.2.3    Strong AI
                  3.1.2    Key AI Use Cases in Agriculture
                              3.1.2.1    Predictive Analytics
                              3.1.2.2    Drones / UAVs
                              3.1.2.3    Robotics
                              3.1.2.4    Autonomous Vehicles
         3.2    Key Consortiums and Associations
         3.3    Investment and Funding Landscape
         3.4    Government Initiatives Landscape
                  3.4.1    North America
                  3.4.2    Europe
                  3.4.3    Asia-Pacific
                  3.4.4    Rest-of-the-World
 
   4    Global Artificial Intelligence in Agriculture Market  (by Product Offering), $Million
         4.1    Assumptions and Limitations for Analysis and Forecast of the Global Artificial Intelligence in Agriculture Market
         4.2    Market Overview
         4.3    Software
         4.4    Hardware
         4.5    Artificial Intelligence-as-a-Service (AIaaS)
         4.6    Support Services
 
   5    Global Artificial Intelligence in Agriculture Market (by Farming Type), $Million
         5.1    Market Overview
         5.2    Field Farming
         5.3    Indoor Farming
         5.4    Livestock Farming
         5.5    Others
 
   6    Global Artificial Intelligence in Agriculture Market  (by Application), $Million
         6.1    Market Overview
         6.2    Crops, Fruits, Vegetables, and Other Plants
                  6.2.1    Crop Protection
                  6.2.2    Weather Forecasting
                  6.2.3    Precision Farming
                  6.2.4    Farm Machinery Automation
                  6.2.5    Crop Growth Assessment
                  6.2.6    Others
         6.3    Livestock and Aquaculture
                  6.3.1    Animal Growth Monitoring
                  6.3.2    Animal Health Monitoring
                  6.3.3    Others
 
   7    Global Artificial Intelligence in Agriculture Market  (by Region), $Million
         7.1    Market Overview
         7.2    North America
                  7.2.1    North America Artificial Intelligence in Agriculture Market (by Country)
                              7.2.1.1    U.S.
                              7.2.1.2    Canada
                              7.2.1.3    Rest-of-North America
         7.3    Europe
                  7.3.1    Europe Artificial Intelligence in Agriculture Market (By Country)
                              7.3.1.1    Germany
                              7.3.1.2    U.K.
                              7.3.1.3    France
                              7.3.1.4    Italy
                              7.3.1.5    Netherlands
                              7.3.1.6    Spain
                              7.3.1.7    Rest-of-Europe
         7.4    Asia-Pacific
                  7.4.1    Asia-Pacific Artificial Intelligence in Agriculture Market (by Country)
                              7.4.1.1    Australia
                              7.4.1.2    China
                              7.4.1.3    Japan
                              7.4.1.4    India
                              7.4.1.5    Rest-of-Asia-Pacific
         7.5    Rest-of-the-World (RoW)
                  7.5.1    RoW Artificial Intelligence in Agriculture Market (by Country)
                              7.5.1.1    Brazil
                              7.5.1.2    Argentina
                              7.5.1.3    Israel
                              7.5.1.4    South Africa
                              7.5.1.5    Rest-of-RoW
 
   8    Company Profiles
         8.1    Overview
         Public Companies
         Existing Market Players
         8.2    Alibaba Group Holding Limited
                  8.2.1    Company Overview
                  8.2.2    Role of Alibaba Group Holding Limited in AI in the Agriculture Market
                  8.2.3    Financials
                  8.2.4    SWOT ANALYSIS
         8.3    AgEagle Aerial Systems Inc.
                  8.3.1    Company Overview
                  8.3.2    Role of AgEagle Aerial Systems Inc. in Global AI in the Agriculture Market
                  8.3.3    SWOT ANALYSIS
         8.4    BASF SE
                  8.4.1    Company Overview
                  8.4.2    Role of BASF SE in AI in the Agriculture Market
                  8.4.3    Financials
                  8.4.4    SWOT ANALYSIS
         8.5    The Climate Corporation (A Bayer AG Company)
                  8.5.1    Company Overview
                  8.5.2    Role of The Climate Corporation in Global AI in Agriculture Market
                  8.5.3    SWOT ANALYSIS
         8.6    Deere & Company
                  8.6.1    Company Overview
                  8.6.2    Role of Deere & Company in AI in the Agriculture Market
                              8.6.2.1    Blue River Technology (Acquired by Deere & Company)
                                             8.6.2.1.1    Role of Blue River Technology in AI in the Agriculture Market
                  8.6.3    Financials
                  8.6.4    SWOT ANALYSIS
         8.7    IBM Corporation
                  8.7.1    Company Overview
                  8.7.2    Role of IBM Corporation in Global AI in Agriculture Market
                  8.7.3    Financials
                  8.7.4    SWOT ANALYSIS
         8.8    JD.com, Inc.
                  8.8.1    Company Overview
                  8.8.2    Role of Jd.com, Inc. in AI in the Agriculture Market
                  8.8.3    Financials
                  8.8.4    SWOT ANALYSIS
         8.9    Microsoft Corporation
                  8.9.1    Company Overview
                  8.9.2    Role of Microsoft Corporation in AI in the Agriculture Market
                  8.9.3    Financials
                  8.9.4    SWOT ANALYSIS
        8.10   Robert Bosch GmbH
                  8.10.1    Company Overview
                  8.10.2    Role of Robert Bosch GmbH in AI in the Agriculture and Food Market
                  8.10.3    Financials
                  8.10.4    SWOT ANALYSIS
        8.11   SAP SE
                  8.11.1    Company Overview
                  8.11.2    Role of SAP SE in AI in the Agriculture Market
                  8.11.3    Financials
                  8.11.4    SWOT ANALYSIS
       Emerging Market Players
       8.12    AGCO Corporation
                  8.12.1    Company Overview
                  8.12.2    Recent developments of AGCO Corporation in AI in the Agriculture Market
      8.13    Capgemini SE
                  8.13.1    Company Overview
                  8.13.2    Recent developments of Capgemini SE in AI in the Agriculture Market
      8.14    Cargill, Inc.
                  8.14.1    Company Overview
                  8.14.2    Recent developments of Cargill, Inc. in AI in the Agriculture Market
      8.15    CNH Industrial N.V.
                  8.15.1    Company Overview
                  8.15.2    Recent developments of CNH Industrial in AI in the Agriculture Market
       8.16    Iteris, Inc.
                  8.16.1    Company Overview
                  8.16.2    Recent developments of Iteris, Inc. in AI in the Agriculture Market
       8.17    Lindsay Corporation
                  8.17.1    Company Overview
                  8.17.2    Recent developments of Lindsay Corporation in AI in the Agriculture Market
      Private Players
      Existing Market Players
      8.18    Connecterra B.V.
                  8.18.1    Company Overview
                  8.18.2    Role of Connecterra B.V. In AI in the Agriculture Market
                  8.18.3    SWOT ANALYSIS
       8.19    Descartes Labs, Inc.
                  8.19.1    Company Overview
                  8.19.2    Role of Descartes Labs, Inc. In AI in the Agriculture Market
                  8.19.3    SWOT ANALYSIS
       8.20    Gamaya SA
                  8.20.1    Company Overview
                  8.20.2    Role of Gamaya SA in Global AI in Agriculture Market
                  8.20.3    SWOT ANALYSIS
       8.21    Granular Inc.
                  8.21.1    Company Overview
                  8.21.2    Role of Granular Inc. in Global AI in Agriculture Market
                  8.21.3    SWOT ANALYSIS
       8.22    Harvest Croo Robotics, LLC
                  8.22.1    Company Overview
                  8.22.2    Role of Harvest Croo Robotics, LLC in AI in the Agriculture Market
                  8.22.3    SWOT ANALYSIS
       8.23    PrecisionHawk Inc.
                  8.23.1    Company Overview
                  8.23.2    Role of PrecisionHawk Inc. in Global AI in Agriculture Market
                  8.23.3    SWOT ANALYSIS
       8.24    Prospera Technologies Ltd.,
                  8.24.1    Company Overview
                  8.24.2    Role of Prospera Technologies in AI in the Agriculture Market
                  8.24.3    SWOT ANALYSIS
       8.25    Root AI, Inc.
                  8.25.1    Company Overview
                  8.25.2    Role of Root AI, Inc. in Global AI in Agriculture Market
                  8.25.3    SWOT ANALYSIS
       8.26    SZ DJI Technology Co. Ltd
                  8.26.1    Company Overview
                  8.26.2    Role of SZ DJI Technology Co. Ltd in AI in the Agriculture Market
                  8.26.3    SWOT ANALYSIS
       8.27    VineView
                  8.27.1    Company Overview
                  8.27.2    Role of VineView in Global AI in Agriculture Market
                  8.27.3    SWOT ANALYSIS
       Emerging Market Players
       8.28    Abundant Robotics Inc.
                  8.28.1    Company Overview
                  8.28.2    Recent developments of Abundant Robotics Inc. in AI in the Agriculture Market
       8.29    Aquabyte, Inc.
                  8.29.1    Company Overview
                  8.29.2    Recent developments of Aquabyte, Inc. in AI in the Agriculture Market
       8.30    aWhere Inc.
                  8.30.1    Company Overview
                  8.30.2    Recent developments of aWhere in AI in the Agriculture Market
       8.31    Ceres Imaging Inc.
                  8.31.1    Company Overview
                  8.31.2    Recent developments of Ceres Imaging Inc. in AI in the Agriculture Market
       8.32    Delair
                  8.32.1    Company Overview
                  8.32.2    Recent developments of Delair in AI in the Agriculture Market
       8.33    ecoRobotix Ltd.
                  8.33.1    Company Overview
                  8.33.2    Recent developments of ecoRobotix Ltd. in AI in the Agriculture Market
       8.34    Farmers Edge
                  8.34.1    Company Overview
                  8.34.2    Recent developments of Farmers Edge in AI in the Agriculture Market
       8.35    Taranis Ag
                  8.35.1    Company Overview
                  8.35.2    Recent developments of Taranis Ag in AI in the Agriculture Market
       8.36    XAG Co., Ltd.
                  8.36.1    Company Overview
                  8.36.2    Recent developments of XAG Co., Ltd. in AI in the Agriculture Market
 
   9    Report Scope and Methodology
         9.1    Report Scope and Methodology
                  9.1.1    Report Scope
         9.2    Global Artificial Intelligence in Agriculture Market Segmentation
                  9.2.1    Global Artificial Intelligence in Agriculture Market Research Methodology
 
   10    Annexure
           10.1    Annexure A: List of Key Strategies and Developments in Global Artificial Intelligence in Agriculture Market (Jul 2016-Jul 2019)
 

List of Tables
    
Table 1.1:    Impact Analysis of Market Drivers
Table 1.2:    Impact Analysis of Market Restraints
Table 3.1:    Key Consortiums and Associations in Global AI in Agriculture Market
Table 4.1:    Global Artificial Intelligence in Agriculture Market (by Product Offering), $Million, 2018-2024
Table 4.2:    Key Players with AI-Based Software and Their Product Description
Table 4.3:    Key AI-Hardware Players and Their Products and Applications Served
Table 4.4:    Key Players with AIaaS Business Model and their Products
Table 4.5:    Key Players Services for AI-in Agriculture
Table 5.1:    Global Artificial Intelligence in Agriculture Market (by Farming Type), $Million, 2018-2024
Table 5.2:    AI Products by Key Companies for Field Farming in Global Artificial Intelligence in Agriculture Market
Table 5.3:    AI Products by Key Companies for Indoor Farming in Global Artificial Intelligence in Agriculture Market
Table 5.4:    AI Products by Key Companies for Livestock Farming in Global Artificial Intelligence in Agriculture Market
Table 5.5:    AI Products by Key Companies for Other Farming Types in Global Artificial Intelligence in Agriculture Market
Table 6.1:    Global Artificial Intelligence in Agriculture Market (by Application), $Million, 2018-2024
Table 6.2:    Key Crop Protection Products in Global Artificial Intelligence in Agriculture Market
Table 6.3:    Key Weather Forecasting Products in Global Artificial Intelligence in Agriculture Market
Table 6.4:    Key Precision Farming Products in Global Artificial Intelligence in Agriculture Market
Table 6.5:    Key Farm Machinery Automation Products in Global Artificial Intelligence in Agriculture Market
Table 6.6:    Key Crop Growth Assessment Products in Global Artificial Intelligence in Agriculture Market
Table 6.7:    Key Other Application Products in Global Artificial Intelligence in Agriculture Market
Table 6.8:    Key Livestock Production Products in Global Artificial Intelligence in Agriculture Market
Table 6.9:    Key Animal Health Monitoring Products in Global Artificial Intelligence in Agriculture Market
Table 6.10:    Key Other Livestock Applications Products in Global Artificial Intelligence in Agriculture Market
Table 7.1:    Global Artificial Intelligence in Agriculture Market (by Region), $Million, 2018-2024
Table 7.2:    North America Artificial Intelligence in Agriculture Market (by Country), $Million, 2018-2024
Table 7.4:    Key Agriculture Projects under U.K. Government Industrial Strategy
Table 7.5:    Asia-Pacific Artificial Intelligence in Agriculture Market (by Country), $Million, 2018-2024
Table 7.6:    RoW Artificial Intelligence in Agriculture Market (by Country), $Million, 2018-2024
Table 8.1:    Alibaba Group Holding Limited: Product Portfolio
Table 8.2:    AgEagle Aerial Systems Inc.: Product Portfolio
Table 8.3:    BASF SE: Product Portfolio
Table 8.4:    The Climate Corporation: Product Portfolio
Table 8.5:    Deere & Company: Product Portfolio
Table 8.6:    Deere & Company: Product Portfolio
Table 8.7:    International Business Machines Corporation: Product Portfolio
Table 8.8:    Jd.com, Inc.: Product Portfolio
Table 8.9:    Microsoft Corporation: Product Portfolio
Table 8.10:    Robert Bosch GmbH: Product Portfolio
Table 8.11:    SAP SE: Product Portfolio
Table 8.12:    Connecterra B.V.: Product Portfolio
Table 8.13:    Descartes Labs, Inc.: Product Portfolio
Table 8.14:    Gamaya SA: Product Portfolio
Table 8.15:    Granular Inc.: Product Portfolio
Table 8.16:    Harvest Croo Robotics, LLC: Product Portfolio
Table 8.17:    PrecisionHawk Inc.: Product Portfolio
Table 8.18:    Prospera Technologies: Product Portfolio
Table 8.19:    Root AI, Inc.: Product Portfolio
Table 8.20:    SZ DJI Technology Co. Ltd: Product Portfolio
Table 8.21:    VineView: Product Portfolio

List of Figures

Figure 1:    Macroeconomic Trends Impacting the Farming Industry Growth
Figure 2:    Drivers and Restraints: Global Artificial Intelligence in Agriculture Market
Figure 3:    Global Artificial Intelligence in Agriculture Market Snapshot
Figure 4:    Global Artificial Intelligence in Agriculture (by Product Offering), 2019 and 2024
Figure 5:    Global Artificial Intelligence in Agriculture Market (by Farming Type), $Million, 2019 and 2024
Figure 6:    Global Artificial Intelligence in Agriculture Market (by Application), $Million, 2019 and 2024
Figure 7:    Regional Artificial Intelligence in Agriculture Market, $Million, 2019-2024
Figure 1.1:    Market Dynamics and Impact Analysis
Figure 1.2:    Average Data Points Generated from Agricultural IoT Devices Daily, 2014 and 2050
Figure 1.3:    Employment in Agriculture (by Region), 1991 and 2018
Figure 1.4:    Advantages of Autonomous Tractors and Equipment in Farming
Figure 1.5:    Advantages of Agriculture SaaS Service Type
Figure 2.1:    Strategies Adopted by the Key Players (Jul 2016-Jul 2019)
Figure 2.2:    Share of Key Market Strategies and Developments (Jul 2016-Jul 2019)
Figure 2.3:    Partnerships, Collaborations and Joint Ventures Landscape (by Companies)
Figure 2.4:    Product Launches and Development Landscape (by Companies)
Figure 2.5:    Business Expansion and Contract Landscape (by Companies)
Figure 2.6:    Mergers and Acquisitions Landscape (by Companies)
Figure 2.7:    Other Developments Landscape (by Companies)
Figure 3.1:    An Overview of Artificial Intelligence Technology Ecosystem
Figure 3.2:    Global Artificial Intelligence in Agriculture Market Investment and Funding, Jan 2016- Jul 2019
Figure 3.3:    Investment and Funding Landscape Share (by Company Type)
Figure 3.4:    Investment and Funding Landscape Share (by Rounds)
Figure 3.5:    Government Initiatives Landscape in North America
Figure 3.6:    Government Initiatives Landscape in Europe
Figure 3.7:    Government Initiatives Landscape in Asia-Pacific
Figure 3.8:    Government Initiatives Landscape in Rest-of-the-World
Figure 4.1:    Types of AI Product Offerings in Agriculture
Figure 4.2:    Business Models for AI Software in Agriculture
Figure 4.3:    Software in Global Artificial Intelligence in Agriculture Market (by Product Offering), $Million, 2018-2024
Figure 4.4:    Types of Hardware for Artificial Intelligence Solutions in Agriculture
Figure 4.5:    Hardware in Global Artificial Intelligence in Agriculture Market (by Product Offering), $Million, 2018-2024
Figure 4.6:    Advantages of Artificial Intelligence-as-a-Service (AIaaS)
Figure 4.7:    AIaaS in Global Artificial Intelligence in Agriculture Market (by Product Offering), $Million, 2018-2024
Figure 4.8:    Support Services in Global Artificial Intelligence in Agriculture Market (by Product Offering), $Million, 2018-2024
Figure 5.1:    Farming Types for AI in Agriculture Market
Figure 5.2:    Major Applications of Artificial Intelligence in Field Farming
Figure 5.3:    Field Farming in Global Artificial Intelligence in Agriculture Market (by Farming Type), $Million, 2018-2024
Figure 5.4:    Indoor Farming in Global Artificial Intelligence in Agriculture Market (by Farming Type), $Million, 2018-2024
Figure 5.5:    Livestock Farming in Global Artificial Intelligence in Agriculture Market (by Farming Type), $Million, 2018-2024
Figure 5.6:    Others in Global Artificial Intelligence in Agriculture Market (by Farming Type), $Million, 2018-2024
Figure 6.1:    Applications in Global Artificial Intelligence in Agriculture Market
Figure 6.2:    Crop Protection in Global Artificial Intelligence in Agriculture Market (by Application), $Million, 2018-2024
Figure 6.3:    Weather Forecasting in Global Artificial Intelligence in Agriculture Market (by Application), $Million, 2018-2024
Figure 6.4:    Precision Farming in Global Artificial Intelligence in Agriculture Market (by Application), $Million, 2018-2024
Figure 6.5:    Farm Machinery Automation in Global Artificial Intelligence in Agriculture Market (by Application), $Million, 2018-2024
Figure 6.6:    Crop Growth Assessment in Global Artificial Intelligence in Agriculture Market (by Application), $Million, 2018-2024
Figure 6.7:    Other Applications in Global Artificial Intelligence in Agriculture Market (by Application), $Million, 2018-2024
Figure 6.8:    Animal Growth Monitoring in Global Artificial Intelligence in Agriculture Market (by Application), $Million, 2018-2024
Figure 6.9:    Animal Health Monitoring in Global Artificial Intelligence in Agriculture Market (by Application), $Million, 2018-2024
Figure 6.10:    Other Livestock and Aquaculture Applications in Global Artificial Intelligence in Agriculture Market (by Application), $Million, 2018-2024
Figure 7.1:    Global Artificial Intelligence in Agriculture Market, Market Share and CAGR (By Region)
Figure 7.2:    North America Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.3:    North America Artificial Intelligence in Agriculture Market (by Country), $Million, 2018-2024
Figure 7.4:    The U.S. Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.5:    Canada Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.6:    Rest-of-North America Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.7:    EU Declaration of Cooperation on Digital Agriculture: Landscape
Figure 7.8:    The Europe Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.9:    Europe Artificial Intelligence in Agriculture Market (By Country), $Million, 2018-2024
Figure 7.10:    Germany Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.11:    U.K. Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.12:    France Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.13:    Key Strategies in Villani Report for France’s AI for Humanity
Figure 7.14:    Italy Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.15:    Netherlands Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.16:    Spain Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.17:    Rest-of-Europe Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.18:    Asia-Pacific Artificial Intelligence in Agriculture Market (By Country), $Million, 2018-2024
Figure 7.19:    Australia Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.20:    Popular Agricultural Applications of AI in Australia
Figure 7.21:    China Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.22:    Japan Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.23:    India Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.24:    Rest-of-Asia-Pacific Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.25:    Brazil Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.27:    Israel Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.28:    South Africa Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.29:    Rest of RoW Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 8.1:    Share of Key Companies
Figure 8.2:    Alibaba Group Holding Limited: Overall Financials, 2017-2019
Figure 8.3:    Alibaba Group Holding Limited: Net Revenue by Business Segment, 2017-2019
Figure 8.4:    Alibaba Group Holding Limited: SWOT Analysis
Figure 8.5:    AgEagle Aerial Systems Inc.: SWOT Analysis
Figure 8.6:    BASF SE: Overall Financials, 2016-2018
Figure 8.7:    BASF SE: Net Revenue by Business Segment, 2016-2018
Figure 8.8:    BASF SE: Net Revenue by Regional Segment, 2016-2018
Figure 8.9:    BASF SE: SWOT Analysis
Figure 8.10:    The Climate Corporation: SWOT Analysis
Figure 8.11:    Deere & Company: Overall Financials, 2016-2018
Figure 8.12:    Deere & Company: Net Revenue by Business Segment, 2016-2018
Figure 8.13:    Deere & Company: Net Revenue by Regional Segment, 2016-2018
Figure 8.14:    Deere & Company, LLC: SWOT Analysis
Figure 8.15:    IBM Corporation: Overall Financials, 2016-2018
Figure 8.16:    IBM Corporation: Net Revenue by Business Segment, 2016-2018
Figure 8.17:    IBM Corporation: Net Revenue by Regional Segment, 2016-2018
Figure 8.18:    IBM Corporation: SWOT Analysis
Figure 8.19:    Jd.com, Inc.: Overall Financials, 2017-2019
Figure 8.20:    Jd.com, Inc.: Net Revenue by Business Segment, 2017-2019
Figure 8.21:    Jd.com, Inc.: SWOT Analysis
Figure 8.22:    Microsoft Corporation: Overall Financials, 2016-2018
Figure 8.23:    Microsoft Corporation: Net Revenue by Business Segment, 2016-2018
Figure 8.24:    Microsoft Corporation: Net Revenue by Regional Segment, 2016-2018
Figure 8.25:    Microsoft Corporation: SWOT Analysis
Figure 8.26:    Robert Bosch GmbH: Overall Financials, 2016-2018
Figure 8.27:    Robert Bosch GmbH: Net Revenue by Business Segment, 2016-2018
Figure 8.28:    Robert Bosch GmbH: Net Revenue by Regional Segment, 2016-2018
Figure 8.29:    Robert Bosch GmbH: SWOT Analysis
Figure 8.30:    SAP SE: Overall Financials, 2016-2018
Figure 8.31:    SAP SE: Net Revenue by Business Segment, 2016-2018
Figure 8.32:    SAP SE: Net Revenue by Regional Segment, 2016-2018
Figure 8.33:    SAP SE: SWOT Analysis
Figure 8.34:    Connecterra B.V.: SWOT Analysis
Figure 8.35:    Descartes Labs, Inc.: SWOT Analysis
Figure 8.36:    Gamaya SA: SWOT Analysis
Figure 8.37:    Granular Inc.: SWOT Analysis
Figure 8.38:    Harvest Croo, LLC: SWOT Analysis
Figure 8.39:    PrecisionHawk Inc.: SWOT Analysis
Figure 8.40:    Prospera Technologies: SWOT Analysis
Figure 8.41:    Root AI, Inc.: SWOT Analysis
Figure 8.42:    SZ DJI Technology Co. Ltd: SWOT Analysis
Figure 8.43:    VineView: SWOT Analysis
Figure 9.1:    Artificial Intelligence in Agriculture Market Scope
Figure 9.2:    Report Methodology
Figure 9.3:    Primary Interviews Breakdown, by Player, Designation, and Region
Figure 9.4:    Sources of Secondary Research
Figure 9.5:    Data Triangulation
Figure 9.6:    Top Down-Bottom-Up Approach for Market Estimation

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Market Report Coverage - Artificial Intelligence (AI) in Agriculture

Base Year

2018

Market Size

$1,091.9 million

Forecast Period

2019-2024

Value Projection and Estimation by 2024

$3,807.3 million

CAGR During Forecast Period

28.38%

Number of Tables

49

Number of Pages

293

Number of Figures

129

Research Hours

 1080

 

 

Market Segmentation

• Product Offering - software, hardware, artificial intelligence-as-a-service (aiaas), and support services

• Farming Type - field farming, indoor farming, livestock farming, and others
• Application - crops, fruits, vegetables, and other plants (crop protection, weather forecasting, precision farming, farm machinery automation, crop growth assessment, and others) and livestock and aquaculture (animal growth monitoring, animal health monitoring, others)

Regional Segmentation

• North America - U.S., Canada, Rest-of-North America
• Europe - Germany, U.K., France, Italy, Netherlands, Spain, and Rest-of-Europe
• Asia-Pacific - Australia, China, Japan, India, and Rest-of-Asia-Pacific
• Rest-of-the-World - Brazil, Argentina, Israel, South Africa, and remaining-of-RoW

Growth Drivers

• Growing Need for Precision and Efficiency in Agricultural Operations

• Emerging Complexities in Data-Driven AI Farming
• Rising Demand for Autonomous Equipment

Market Challenges

• Data Privacy Concerns Among Farmers
• Lack of Technical Infrastructure in Developing Countries

Market Opportunities

• Favorable Government Initiatives to Support Use of AI for Agriculture

• Increase in Implementation of Robots and Drones in Agriculture

• Rise in Adoption of SaaS Business Model in Agriculture

Key Agriculture AI Companies Profiled

• Public Companies
o Existing Players: Alibaba Group Holding Limited, AgEagle Aerial Systems Inc., BASF SE, The Climate Corporation (A Bayer AG Company), Deere & Company, IBM Corporation, JD.com, Inc., Microsoft Corporation, Robert Bosch GmbH, SAP SE,
o Emerging Market Players: AGCO Corporation, Capgemini SE, Cargill, Inc., CNH Industrial N.V.,   Iteris, Inc., Lindsay Corporation
• Private Companies
o Existing Players: Connecterra B.V., Descartes Labs, Inc., Gamaya SA, Granular Inc., Harvest Croo Robotics, LLC, PrecisionHawk Inc., Prospera Technologies Ltd., Root AI, Inc., SZ DJI Technology Co. Ltd, VineView
o Emerging Market Players: Abundant Robotics Inc., Aquabyte, Inc., aWhere Inc., Ceres Imaging Inc.,  Delair,   ecoRobotix Ltd., Farmers Edge,  Taranis Ag,  XAG Co., Ltd.

 

Key Questions Answered

  • What is the estimated global artificial intelligence in agriculture market size in terms of value during the period 2019-2024?
  • What are the market dynamics, including drivers, restraints, and opportunities influencing the market?
  • What is the funding and investment landscape in the global AI in agriculture market?
  • Which are the leading consortiums and associations in the AI in agriculture market, and what are their roles in the market?
  • What does the technology ecosystem of the global artificial intelligence in agriculture market constitute of?
  • How much revenue is projected to be generated by the market during the forecast period from 2019 to 2024, on the basis of segments such as
    • product offering, including software, hardware, artificial intelligence-as-a-service, and support services
    • farming type, including field, indoor, livestock farming, and others
    • region, including North America, Europe, Asia-Pacific, and Rest-of-the-World (ROW)
  • How much revenue is projected to be generated by the applications of artificial intelligence in agriculture, including sub segments such as crop, fruit, and vegetable farming along with livestock and aquaculture farming during the forecast period from 2019 to 2024?
  • What is the competitive strength of the key players operating in the market on the basis of the analysis of the recent developments, product offerings, and regional presence?
  • Where do the key agricultural AI analytics companies lie in their competitive benchmarking graph on the basis of their market coverage and market potential?
  • What is the SWOT analysis for leading companies in the artificial intelligence in agriculture market?

Market Overview

The market report includes certain macroeconomic trends that are severely influencing the changing demands and dynamics of the global agriculture industry. The apprehensions and pressure on the agriculture and farming industry owing to the rapidly growing demand for global food production is pushing the farmers to enhance profitability with AI farming in case of  slowing yield trends for several staple crops. Due the presence of such challenges, the growers and the global agriculture industry is turning toward technology to turn AI solutions for farmers in the industry in a crop production process. Introduction of AI in farming with automation is recognized as precision agriculture, an emerging phenomenon to improve farm productivity.

Precision agriculture includes a wide array of AI technologies in agriculture such as analytics, sensing technologies, guidance technologies along with other precision technologies that help in curtailing the misutilization of agri-inputs and enable efficient use of AI for farming with profitability. The commencement of precision agriculture technologies has also ensued the generation of hundreds of thousands of data points on farms. To pilot through the big data generated in farms and to attain efficient artificial farming solutions, the industry is bringing about significant product innovations in farm data analysis with the help of application of artificial intelligence in agriculture industry.

Artificial intelligence technologies help farmers in optimizing their planning to generate profitable crop yields using predictable analytics for agri-input choices and farm process planning. The forecast of results for these agricultural processes in the market are powered by AI sensors and imaging equipment. The presence of these AI-based software and hardware products and services in the agriculture market has led to an optimistic growth of the precision agriculture market.

Artificial Intelligence (AI) in Agriculture Market

The artificial intelligence in agriculture market is projected to grow from $1,091.9 million in 2019. The high growth in the market is expected to be driven by the increasing need to optimize farm operation planning, growing demand to derive insights from emerging complexities of data-driven farming, and rising development of autonomous equipment in agriculture.

The expanding demand for global food production along with the burden of providing constant supply of high-quality farm produce has developed an alarming situation for the producers across the world. These farm producers are struggling to augment the produce per hectare. Furthermore, shrinking agricultural lands and scarcity of natural resources available has given rise to the urgency for resolving the concern.

Competitive Landscape

The competitive landscape for the use of artificial intelligence in agriculture market establishes an inclination of AI agriculture companies toward adopting strategies such as collaborations, joint ventures, product launches, and development and partnerships.

The key established companies in the market are focusing on product launches and ways to improve existing and introduce new technologies.

The market is extremely fragmented with the presence of various small- to medium-sized organizations that are competing with each other and several large enterprises as well. The major companies operating in this market have increased the volume of their product launch activities over the recent years. This has been one of the most widely adopted strategies by the players in this market.  

The presence of appropriate regulatory environment along with extensive R&D activities are the criteria for the continuous growth of this market. Several private research institutes, favorable trade policies, and government initiatives are collectively making substantial efforts to ascertain the benefits of these AI solutions for agriculture industry for augmenting the global food production. The increase in adoption of sophisticated and smart farming techniques is essential for bridging the demand and supply gap along with accomplishing sustainability in production.

   Executive Summary
   1    Market Dynamics
         1.1    Overview
         1.2    Impact Analysis
         1.3    Market Drivers
                  1.3.1    Growing Need for Precision and Efficiency in Agricultural Operations
                  1.3.2    Emerging Complexities in Data-Driven Farming
                  1.3.3    Rising Demand for Autonomous Equipment
         1.4    Market Restraints
                  1.4.1    Data Privacy Concerns Among Farmers
                  1.4.2    Lack of Technical Infrastructure in Developing Countries
         1.5    Market Opportunities
                  1.5.1    Favorable Government Initiatives to Support AI in Agriculture
                  1.5.2    Increase in Implementation of Robots and Drones in Agriculture
                  1.5.3    Rise in Adoption of SaaS Business Model in Agriculture
 
   2    Competitive Insights
         2.1    Key Strategies and Developments
                  2.1.1    Partnerships, Collaborations, and Joint Ventures
                  2.1.2    Product Launches and Developments
                  2.1.3    Business Expansions and Contracts
                  2.1.4    Mergers and Acquisitions
                  2.1.5    Others (Awards and Recognition)
         2.2    Competitive Benchmarking of Agricultural AI Analytics Companies
 
   3    Industry Analysis
         3.1    Artificial Intelligence in Agriculture: Technology Ecosystem
                  3.1.1    AI Technology Stack
                              3.1.1.1    AI-Powered Technologies
                                             3.1.1.1.1    Machine Learning
                                             3.1.1.1.2    Computer Vision
                                             3.1.1.1.3    Deep Learning
                                             3.1.1.1.4    Speech Recognition Technology
                                             3.1.1.1.5    Other Technologies
                              3.1.1.2    Hardware
                                             3.1.1.2.1    Memory
                                             3.1.1.2.2    Storage
                                             3.1.1.2.3    Logic
                                             3.1.1.2.4    Networking
                              3.1.1.3    Others
                              3.1.1.4    AI Technology Classifications
                                             3.1.1.4.1    AI Technology (by Functionality)
                                                               3.1.1.4.1.1    Reactive Machines
                                                               3.1.1.4.1.2    Limited Memory
                                                               3.1.1.4.1.3    Theory of Mind
                                                               3.1.1.4.1.4    Self-Awareness
                                             3.1.1.4.2    AI Technology (by Capability)
                                                               3.1.1.4.2.1    Weak AI
                                                               3.1.1.4.2.2    General AI
                                                               3.1.1.4.2.3    Strong AI
                  3.1.2    Key AI Use Cases in Agriculture
                              3.1.2.1    Predictive Analytics
                              3.1.2.2    Drones / UAVs
                              3.1.2.3    Robotics
                              3.1.2.4    Autonomous Vehicles
         3.2    Key Consortiums and Associations
         3.3    Investment and Funding Landscape
         3.4    Government Initiatives Landscape
                  3.4.1    North America
                  3.4.2    Europe
                  3.4.3    Asia-Pacific
                  3.4.4    Rest-of-the-World
 
   4    Global Artificial Intelligence in Agriculture Market  (by Product Offering), $Million
         4.1    Assumptions and Limitations for Analysis and Forecast of the Global Artificial Intelligence in Agriculture Market
         4.2    Market Overview
         4.3    Software
         4.4    Hardware
         4.5    Artificial Intelligence-as-a-Service (AIaaS)
         4.6    Support Services
 
   5    Global Artificial Intelligence in Agriculture Market (by Farming Type), $Million
         5.1    Market Overview
         5.2    Field Farming
         5.3    Indoor Farming
         5.4    Livestock Farming
         5.5    Others
 
   6    Global Artificial Intelligence in Agriculture Market  (by Application), $Million
         6.1    Market Overview
         6.2    Crops, Fruits, Vegetables, and Other Plants
                  6.2.1    Crop Protection
                  6.2.2    Weather Forecasting
                  6.2.3    Precision Farming
                  6.2.4    Farm Machinery Automation
                  6.2.5    Crop Growth Assessment
                  6.2.6    Others
         6.3    Livestock and Aquaculture
                  6.3.1    Animal Growth Monitoring
                  6.3.2    Animal Health Monitoring
                  6.3.3    Others
 
   7    Global Artificial Intelligence in Agriculture Market  (by Region), $Million
         7.1    Market Overview
         7.2    North America
                  7.2.1    North America Artificial Intelligence in Agriculture Market (by Country)
                              7.2.1.1    U.S.
                              7.2.1.2    Canada
                              7.2.1.3    Rest-of-North America
         7.3    Europe
                  7.3.1    Europe Artificial Intelligence in Agriculture Market (By Country)
                              7.3.1.1    Germany
                              7.3.1.2    U.K.
                              7.3.1.3    France
                              7.3.1.4    Italy
                              7.3.1.5    Netherlands
                              7.3.1.6    Spain
                              7.3.1.7    Rest-of-Europe
         7.4    Asia-Pacific
                  7.4.1    Asia-Pacific Artificial Intelligence in Agriculture Market (by Country)
                              7.4.1.1    Australia
                              7.4.1.2    China
                              7.4.1.3    Japan
                              7.4.1.4    India
                              7.4.1.5    Rest-of-Asia-Pacific
         7.5    Rest-of-the-World (RoW)
                  7.5.1    RoW Artificial Intelligence in Agriculture Market (by Country)
                              7.5.1.1    Brazil
                              7.5.1.2    Argentina
                              7.5.1.3    Israel
                              7.5.1.4    South Africa
                              7.5.1.5    Rest-of-RoW
 
   8    Company Profiles
         8.1    Overview
         Public Companies
         Existing Market Players
         8.2    Alibaba Group Holding Limited
                  8.2.1    Company Overview
                  8.2.2    Role of Alibaba Group Holding Limited in AI in the Agriculture Market
                  8.2.3    Financials
                  8.2.4    SWOT ANALYSIS
         8.3    AgEagle Aerial Systems Inc.
                  8.3.1    Company Overview
                  8.3.2    Role of AgEagle Aerial Systems Inc. in Global AI in the Agriculture Market
                  8.3.3    SWOT ANALYSIS
         8.4    BASF SE
                  8.4.1    Company Overview
                  8.4.2    Role of BASF SE in AI in the Agriculture Market
                  8.4.3    Financials
                  8.4.4    SWOT ANALYSIS
         8.5    The Climate Corporation (A Bayer AG Company)
                  8.5.1    Company Overview
                  8.5.2    Role of The Climate Corporation in Global AI in Agriculture Market
                  8.5.3    SWOT ANALYSIS
         8.6    Deere & Company
                  8.6.1    Company Overview
                  8.6.2    Role of Deere & Company in AI in the Agriculture Market
                              8.6.2.1    Blue River Technology (Acquired by Deere & Company)
                                             8.6.2.1.1    Role of Blue River Technology in AI in the Agriculture Market
                  8.6.3    Financials
                  8.6.4    SWOT ANALYSIS
         8.7    IBM Corporation
                  8.7.1    Company Overview
                  8.7.2    Role of IBM Corporation in Global AI in Agriculture Market
                  8.7.3    Financials
                  8.7.4    SWOT ANALYSIS
         8.8    JD.com, Inc.
                  8.8.1    Company Overview
                  8.8.2    Role of Jd.com, Inc. in AI in the Agriculture Market
                  8.8.3    Financials
                  8.8.4    SWOT ANALYSIS
         8.9    Microsoft Corporation
                  8.9.1    Company Overview
                  8.9.2    Role of Microsoft Corporation in AI in the Agriculture Market
                  8.9.3    Financials
                  8.9.4    SWOT ANALYSIS
        8.10   Robert Bosch GmbH
                  8.10.1    Company Overview
                  8.10.2    Role of Robert Bosch GmbH in AI in the Agriculture and Food Market
                  8.10.3    Financials
                  8.10.4    SWOT ANALYSIS
        8.11   SAP SE
                  8.11.1    Company Overview
                  8.11.2    Role of SAP SE in AI in the Agriculture Market
                  8.11.3    Financials
                  8.11.4    SWOT ANALYSIS
       Emerging Market Players
       8.12    AGCO Corporation
                  8.12.1    Company Overview
                  8.12.2    Recent developments of AGCO Corporation in AI in the Agriculture Market
      8.13    Capgemini SE
                  8.13.1    Company Overview
                  8.13.2    Recent developments of Capgemini SE in AI in the Agriculture Market
      8.14    Cargill, Inc.
                  8.14.1    Company Overview
                  8.14.2    Recent developments of Cargill, Inc. in AI in the Agriculture Market
      8.15    CNH Industrial N.V.
                  8.15.1    Company Overview
                  8.15.2    Recent developments of CNH Industrial in AI in the Agriculture Market
       8.16    Iteris, Inc.
                  8.16.1    Company Overview
                  8.16.2    Recent developments of Iteris, Inc. in AI in the Agriculture Market
       8.17    Lindsay Corporation
                  8.17.1    Company Overview
                  8.17.2    Recent developments of Lindsay Corporation in AI in the Agriculture Market
      Private Players
      Existing Market Players
      8.18    Connecterra B.V.
                  8.18.1    Company Overview
                  8.18.2    Role of Connecterra B.V. In AI in the Agriculture Market
                  8.18.3    SWOT ANALYSIS
       8.19    Descartes Labs, Inc.
                  8.19.1    Company Overview
                  8.19.2    Role of Descartes Labs, Inc. In AI in the Agriculture Market
                  8.19.3    SWOT ANALYSIS
       8.20    Gamaya SA
                  8.20.1    Company Overview
                  8.20.2    Role of Gamaya SA in Global AI in Agriculture Market
                  8.20.3    SWOT ANALYSIS
       8.21    Granular Inc.
                  8.21.1    Company Overview
                  8.21.2    Role of Granular Inc. in Global AI in Agriculture Market
                  8.21.3    SWOT ANALYSIS
       8.22    Harvest Croo Robotics, LLC
                  8.22.1    Company Overview
                  8.22.2    Role of Harvest Croo Robotics, LLC in AI in the Agriculture Market
                  8.22.3    SWOT ANALYSIS
       8.23    PrecisionHawk Inc.
                  8.23.1    Company Overview
                  8.23.2    Role of PrecisionHawk Inc. in Global AI in Agriculture Market
                  8.23.3    SWOT ANALYSIS
       8.24    Prospera Technologies Ltd.,
                  8.24.1    Company Overview
                  8.24.2    Role of Prospera Technologies in AI in the Agriculture Market
                  8.24.3    SWOT ANALYSIS
       8.25    Root AI, Inc.
                  8.25.1    Company Overview
                  8.25.2    Role of Root AI, Inc. in Global AI in Agriculture Market
                  8.25.3    SWOT ANALYSIS
       8.26    SZ DJI Technology Co. Ltd
                  8.26.1    Company Overview
                  8.26.2    Role of SZ DJI Technology Co. Ltd in AI in the Agriculture Market
                  8.26.3    SWOT ANALYSIS
       8.27    VineView
                  8.27.1    Company Overview
                  8.27.2    Role of VineView in Global AI in Agriculture Market
                  8.27.3    SWOT ANALYSIS
       Emerging Market Players
       8.28    Abundant Robotics Inc.
                  8.28.1    Company Overview
                  8.28.2    Recent developments of Abundant Robotics Inc. in AI in the Agriculture Market
       8.29    Aquabyte, Inc.
                  8.29.1    Company Overview
                  8.29.2    Recent developments of Aquabyte, Inc. in AI in the Agriculture Market
       8.30    aWhere Inc.
                  8.30.1    Company Overview
                  8.30.2    Recent developments of aWhere in AI in the Agriculture Market
       8.31    Ceres Imaging Inc.
                  8.31.1    Company Overview
                  8.31.2    Recent developments of Ceres Imaging Inc. in AI in the Agriculture Market
       8.32    Delair
                  8.32.1    Company Overview
                  8.32.2    Recent developments of Delair in AI in the Agriculture Market
       8.33    ecoRobotix Ltd.
                  8.33.1    Company Overview
                  8.33.2    Recent developments of ecoRobotix Ltd. in AI in the Agriculture Market
       8.34    Farmers Edge
                  8.34.1    Company Overview
                  8.34.2    Recent developments of Farmers Edge in AI in the Agriculture Market
       8.35    Taranis Ag
                  8.35.1    Company Overview
                  8.35.2    Recent developments of Taranis Ag in AI in the Agriculture Market
       8.36    XAG Co., Ltd.
                  8.36.1    Company Overview
                  8.36.2    Recent developments of XAG Co., Ltd. in AI in the Agriculture Market
 
   9    Report Scope and Methodology
         9.1    Report Scope and Methodology
                  9.1.1    Report Scope
         9.2    Global Artificial Intelligence in Agriculture Market Segmentation
                  9.2.1    Global Artificial Intelligence in Agriculture Market Research Methodology
 
   10    Annexure
           10.1    Annexure A: List of Key Strategies and Developments in Global Artificial Intelligence in Agriculture Market (Jul 2016-Jul 2019)
 

List of Tables
    
Table 1.1:    Impact Analysis of Market Drivers
Table 1.2:    Impact Analysis of Market Restraints
Table 3.1:    Key Consortiums and Associations in Global AI in Agriculture Market
Table 4.1:    Global Artificial Intelligence in Agriculture Market (by Product Offering), $Million, 2018-2024
Table 4.2:    Key Players with AI-Based Software and Their Product Description
Table 4.3:    Key AI-Hardware Players and Their Products and Applications Served
Table 4.4:    Key Players with AIaaS Business Model and their Products
Table 4.5:    Key Players Services for AI-in Agriculture
Table 5.1:    Global Artificial Intelligence in Agriculture Market (by Farming Type), $Million, 2018-2024
Table 5.2:    AI Products by Key Companies for Field Farming in Global Artificial Intelligence in Agriculture Market
Table 5.3:    AI Products by Key Companies for Indoor Farming in Global Artificial Intelligence in Agriculture Market
Table 5.4:    AI Products by Key Companies for Livestock Farming in Global Artificial Intelligence in Agriculture Market
Table 5.5:    AI Products by Key Companies for Other Farming Types in Global Artificial Intelligence in Agriculture Market
Table 6.1:    Global Artificial Intelligence in Agriculture Market (by Application), $Million, 2018-2024
Table 6.2:    Key Crop Protection Products in Global Artificial Intelligence in Agriculture Market
Table 6.3:    Key Weather Forecasting Products in Global Artificial Intelligence in Agriculture Market
Table 6.4:    Key Precision Farming Products in Global Artificial Intelligence in Agriculture Market
Table 6.5:    Key Farm Machinery Automation Products in Global Artificial Intelligence in Agriculture Market
Table 6.6:    Key Crop Growth Assessment Products in Global Artificial Intelligence in Agriculture Market
Table 6.7:    Key Other Application Products in Global Artificial Intelligence in Agriculture Market
Table 6.8:    Key Livestock Production Products in Global Artificial Intelligence in Agriculture Market
Table 6.9:    Key Animal Health Monitoring Products in Global Artificial Intelligence in Agriculture Market
Table 6.10:    Key Other Livestock Applications Products in Global Artificial Intelligence in Agriculture Market
Table 7.1:    Global Artificial Intelligence in Agriculture Market (by Region), $Million, 2018-2024
Table 7.2:    North America Artificial Intelligence in Agriculture Market (by Country), $Million, 2018-2024
Table 7.4:    Key Agriculture Projects under U.K. Government Industrial Strategy
Table 7.5:    Asia-Pacific Artificial Intelligence in Agriculture Market (by Country), $Million, 2018-2024
Table 7.6:    RoW Artificial Intelligence in Agriculture Market (by Country), $Million, 2018-2024
Table 8.1:    Alibaba Group Holding Limited: Product Portfolio
Table 8.2:    AgEagle Aerial Systems Inc.: Product Portfolio
Table 8.3:    BASF SE: Product Portfolio
Table 8.4:    The Climate Corporation: Product Portfolio
Table 8.5:    Deere & Company: Product Portfolio
Table 8.6:    Deere & Company: Product Portfolio
Table 8.7:    International Business Machines Corporation: Product Portfolio
Table 8.8:    Jd.com, Inc.: Product Portfolio
Table 8.9:    Microsoft Corporation: Product Portfolio
Table 8.10:    Robert Bosch GmbH: Product Portfolio
Table 8.11:    SAP SE: Product Portfolio
Table 8.12:    Connecterra B.V.: Product Portfolio
Table 8.13:    Descartes Labs, Inc.: Product Portfolio
Table 8.14:    Gamaya SA: Product Portfolio
Table 8.15:    Granular Inc.: Product Portfolio
Table 8.16:    Harvest Croo Robotics, LLC: Product Portfolio
Table 8.17:    PrecisionHawk Inc.: Product Portfolio
Table 8.18:    Prospera Technologies: Product Portfolio
Table 8.19:    Root AI, Inc.: Product Portfolio
Table 8.20:    SZ DJI Technology Co. Ltd: Product Portfolio
Table 8.21:    VineView: Product Portfolio

List of Figures

Figure 1:    Macroeconomic Trends Impacting the Farming Industry Growth
Figure 2:    Drivers and Restraints: Global Artificial Intelligence in Agriculture Market
Figure 3:    Global Artificial Intelligence in Agriculture Market Snapshot
Figure 4:    Global Artificial Intelligence in Agriculture (by Product Offering), 2019 and 2024
Figure 5:    Global Artificial Intelligence in Agriculture Market (by Farming Type), $Million, 2019 and 2024
Figure 6:    Global Artificial Intelligence in Agriculture Market (by Application), $Million, 2019 and 2024
Figure 7:    Regional Artificial Intelligence in Agriculture Market, $Million, 2019-2024
Figure 1.1:    Market Dynamics and Impact Analysis
Figure 1.2:    Average Data Points Generated from Agricultural IoT Devices Daily, 2014 and 2050
Figure 1.3:    Employment in Agriculture (by Region), 1991 and 2018
Figure 1.4:    Advantages of Autonomous Tractors and Equipment in Farming
Figure 1.5:    Advantages of Agriculture SaaS Service Type
Figure 2.1:    Strategies Adopted by the Key Players (Jul 2016-Jul 2019)
Figure 2.2:    Share of Key Market Strategies and Developments (Jul 2016-Jul 2019)
Figure 2.3:    Partnerships, Collaborations and Joint Ventures Landscape (by Companies)
Figure 2.4:    Product Launches and Development Landscape (by Companies)
Figure 2.5:    Business Expansion and Contract Landscape (by Companies)
Figure 2.6:    Mergers and Acquisitions Landscape (by Companies)
Figure 2.7:    Other Developments Landscape (by Companies)
Figure 3.1:    An Overview of Artificial Intelligence Technology Ecosystem
Figure 3.2:    Global Artificial Intelligence in Agriculture Market Investment and Funding, Jan 2016- Jul 2019
Figure 3.3:    Investment and Funding Landscape Share (by Company Type)
Figure 3.4:    Investment and Funding Landscape Share (by Rounds)
Figure 3.5:    Government Initiatives Landscape in North America
Figure 3.6:    Government Initiatives Landscape in Europe
Figure 3.7:    Government Initiatives Landscape in Asia-Pacific
Figure 3.8:    Government Initiatives Landscape in Rest-of-the-World
Figure 4.1:    Types of AI Product Offerings in Agriculture
Figure 4.2:    Business Models for AI Software in Agriculture
Figure 4.3:    Software in Global Artificial Intelligence in Agriculture Market (by Product Offering), $Million, 2018-2024
Figure 4.4:    Types of Hardware for Artificial Intelligence Solutions in Agriculture
Figure 4.5:    Hardware in Global Artificial Intelligence in Agriculture Market (by Product Offering), $Million, 2018-2024
Figure 4.6:    Advantages of Artificial Intelligence-as-a-Service (AIaaS)
Figure 4.7:    AIaaS in Global Artificial Intelligence in Agriculture Market (by Product Offering), $Million, 2018-2024
Figure 4.8:    Support Services in Global Artificial Intelligence in Agriculture Market (by Product Offering), $Million, 2018-2024
Figure 5.1:    Farming Types for AI in Agriculture Market
Figure 5.2:    Major Applications of Artificial Intelligence in Field Farming
Figure 5.3:    Field Farming in Global Artificial Intelligence in Agriculture Market (by Farming Type), $Million, 2018-2024
Figure 5.4:    Indoor Farming in Global Artificial Intelligence in Agriculture Market (by Farming Type), $Million, 2018-2024
Figure 5.5:    Livestock Farming in Global Artificial Intelligence in Agriculture Market (by Farming Type), $Million, 2018-2024
Figure 5.6:    Others in Global Artificial Intelligence in Agriculture Market (by Farming Type), $Million, 2018-2024
Figure 6.1:    Applications in Global Artificial Intelligence in Agriculture Market
Figure 6.2:    Crop Protection in Global Artificial Intelligence in Agriculture Market (by Application), $Million, 2018-2024
Figure 6.3:    Weather Forecasting in Global Artificial Intelligence in Agriculture Market (by Application), $Million, 2018-2024
Figure 6.4:    Precision Farming in Global Artificial Intelligence in Agriculture Market (by Application), $Million, 2018-2024
Figure 6.5:    Farm Machinery Automation in Global Artificial Intelligence in Agriculture Market (by Application), $Million, 2018-2024
Figure 6.6:    Crop Growth Assessment in Global Artificial Intelligence in Agriculture Market (by Application), $Million, 2018-2024
Figure 6.7:    Other Applications in Global Artificial Intelligence in Agriculture Market (by Application), $Million, 2018-2024
Figure 6.8:    Animal Growth Monitoring in Global Artificial Intelligence in Agriculture Market (by Application), $Million, 2018-2024
Figure 6.9:    Animal Health Monitoring in Global Artificial Intelligence in Agriculture Market (by Application), $Million, 2018-2024
Figure 6.10:    Other Livestock and Aquaculture Applications in Global Artificial Intelligence in Agriculture Market (by Application), $Million, 2018-2024
Figure 7.1:    Global Artificial Intelligence in Agriculture Market, Market Share and CAGR (By Region)
Figure 7.2:    North America Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.3:    North America Artificial Intelligence in Agriculture Market (by Country), $Million, 2018-2024
Figure 7.4:    The U.S. Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.5:    Canada Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.6:    Rest-of-North America Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.7:    EU Declaration of Cooperation on Digital Agriculture: Landscape
Figure 7.8:    The Europe Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.9:    Europe Artificial Intelligence in Agriculture Market (By Country), $Million, 2018-2024
Figure 7.10:    Germany Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.11:    U.K. Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.12:    France Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.13:    Key Strategies in Villani Report for France’s AI for Humanity
Figure 7.14:    Italy Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.15:    Netherlands Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.16:    Spain Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.17:    Rest-of-Europe Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.18:    Asia-Pacific Artificial Intelligence in Agriculture Market (By Country), $Million, 2018-2024
Figure 7.19:    Australia Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.20:    Popular Agricultural Applications of AI in Australia
Figure 7.21:    China Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.22:    Japan Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.23:    India Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.24:    Rest-of-Asia-Pacific Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.25:    Brazil Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.27:    Israel Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.28:    South Africa Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 7.29:    Rest of RoW Artificial Intelligence in Agriculture Market, $Million, 2018-2024
Figure 8.1:    Share of Key Companies
Figure 8.2:    Alibaba Group Holding Limited: Overall Financials, 2017-2019
Figure 8.3:    Alibaba Group Holding Limited: Net Revenue by Business Segment, 2017-2019
Figure 8.4:    Alibaba Group Holding Limited: SWOT Analysis
Figure 8.5:    AgEagle Aerial Systems Inc.: SWOT Analysis
Figure 8.6:    BASF SE: Overall Financials, 2016-2018
Figure 8.7:    BASF SE: Net Revenue by Business Segment, 2016-2018
Figure 8.8:    BASF SE: Net Revenue by Regional Segment, 2016-2018
Figure 8.9:    BASF SE: SWOT Analysis
Figure 8.10:    The Climate Corporation: SWOT Analysis
Figure 8.11:    Deere & Company: Overall Financials, 2016-2018
Figure 8.12:    Deere & Company: Net Revenue by Business Segment, 2016-2018
Figure 8.13:    Deere & Company: Net Revenue by Regional Segment, 2016-2018
Figure 8.14:    Deere & Company, LLC: SWOT Analysis
Figure 8.15:    IBM Corporation: Overall Financials, 2016-2018
Figure 8.16:    IBM Corporation: Net Revenue by Business Segment, 2016-2018
Figure 8.17:    IBM Corporation: Net Revenue by Regional Segment, 2016-2018
Figure 8.18:    IBM Corporation: SWOT Analysis
Figure 8.19:    Jd.com, Inc.: Overall Financials, 2017-2019
Figure 8.20:    Jd.com, Inc.: Net Revenue by Business Segment, 2017-2019
Figure 8.21:    Jd.com, Inc.: SWOT Analysis
Figure 8.22:    Microsoft Corporation: Overall Financials, 2016-2018
Figure 8.23:    Microsoft Corporation: Net Revenue by Business Segment, 2016-2018
Figure 8.24:    Microsoft Corporation: Net Revenue by Regional Segment, 2016-2018
Figure 8.25:    Microsoft Corporation: SWOT Analysis
Figure 8.26:    Robert Bosch GmbH: Overall Financials, 2016-2018
Figure 8.27:    Robert Bosch GmbH: Net Revenue by Business Segment, 2016-2018
Figure 8.28:    Robert Bosch GmbH: Net Revenue by Regional Segment, 2016-2018
Figure 8.29:    Robert Bosch GmbH: SWOT Analysis
Figure 8.30:    SAP SE: Overall Financials, 2016-2018
Figure 8.31:    SAP SE: Net Revenue by Business Segment, 2016-2018
Figure 8.32:    SAP SE: Net Revenue by Regional Segment, 2016-2018
Figure 8.33:    SAP SE: SWOT Analysis
Figure 8.34:    Connecterra B.V.: SWOT Analysis
Figure 8.35:    Descartes Labs, Inc.: SWOT Analysis
Figure 8.36:    Gamaya SA: SWOT Analysis
Figure 8.37:    Granular Inc.: SWOT Analysis
Figure 8.38:    Harvest Croo, LLC: SWOT Analysis
Figure 8.39:    PrecisionHawk Inc.: SWOT Analysis
Figure 8.40:    Prospera Technologies: SWOT Analysis
Figure 8.41:    Root AI, Inc.: SWOT Analysis
Figure 8.42:    SZ DJI Technology Co. Ltd: SWOT Analysis
Figure 8.43:    VineView: SWOT Analysis
Figure 9.1:    Artificial Intelligence in Agriculture Market Scope
Figure 9.2:    Report Methodology
Figure 9.3:    Primary Interviews Breakdown, by Player, Designation, and Region
Figure 9.4:    Sources of Secondary Research
Figure 9.5:    Data Triangulation
Figure 9.6:    Top Down-Bottom-Up Approach for Market Estimation

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