Artificial intelligence technology is encouraging various sectors to enhance productivity and efficiency. AI solutions are assisting in overcoming the traditional challenges in every field. Similarly, AI-powered technologies in agriculture are helping the farmers to improve their productivity and reduce the impact of environmental changes on the crops. It also assists in various functions such as crop monitoring, soil monitoring, pest monitoring, and improves a large variety of agriculture-related tasks in the food supply chain.

To have the edge over the competition by knowing the market dynamics and current trends of “Artificial Intelligence in Agriculture Market,” request for Sample Report here

The growing demand for agriculture production driven by the increasing population rate, rising implementation of information management systems and advanced technologies, such as machine learning and deep learning techniques, for improving crop productivity, and increasing number of government initiatives are the major factors that are driving the growth of the global AI in the agriculture market. AI-enabled applications help to control pests, improves the quality of crops, monitor the soil, and enhances agriculture-associated tasks in the complete food supply chain. In addition to this, the accelerated adoption of Internet of Things and AI technologies such as machine learning, computer vision, predictive analytics, and deep learning to asses soil moisture, temperature, weather conditions, plant health and other functions, are further boosting the growth of AI in agriculture market.  Moreover, AI aids in improving yield quality and reduces the labor cost that is also paving the demand for AI in agriculture. The start-ups in agriculture are widely adopting AI-enabled methodology to boost the efficiency of agricultural production. Applying AI-enabled approaches helps in identifying diseases or climatic changes more quickly and responds smartly. All these factors are drastically driving the growth of the market in the coming years. On the other end of the spectrum, the high cost related to the collection of precise field data is restraining market growth.

Do you want to know more about the Research process and detailed Methodology, Request Research Methodology of this report

Based on the technology, the computer vision segment is expected to grow at a higher CAGR during the forecast period. Computer vision is involved with the automatic extraction, analysis, and understanding of helpful and meaning data from a single image or a sequence of images. The AI-enabled equipment based on computer vision technology is widely used for detecting a nutrient deficiency or disease in plants and monitors the health of the crops, which is further responsible for driving the market growth. The growing demand for computer vision technology in agriculture applications, such as plant image recognition, followed by the strong demand for analyzing and monitoring the health of the crop, is contributing to the growth of the computer vision technology in AI in the agriculture market.

Based on offering, the software segment is expected to lead the global AI in agriculture market during the forecast period. AI-enabled software improves crop productivity by applying prediction-based analytics and computer vision technology. In addition to this, the increasing integration of mobile technologies with farming techniques, the growing usage of AI-based software to enhance farm efficiency, rising penetration of predictive analytics enabled software, and the increasing requirement for real-time management systems are bolstering the growth of the market.

Based on the application, the precision farming segment is anticipated to lead the Global AI in Agriculture Market owing to the growing focus on increasing farm productivity driven by the rapid growth in the population rate and rising emphasis on upgrading food quality. Moreover, precision farming enables the farmer to make agriculture task more effective and predictable. Agriculture robots operated by an AI system comprises field sensors and data analytics that can be effectively utilized for a range of applications.

Based on the region, North America is expected to grow at a higher CAGR over the forecast period owing to the high penetration of industrial automation and artificial intelligence application in this region. The accelerated adoption of AI technology among large-scale agriculture players to enhance the speed and accuracy of crops in this region is further boosting the growth of the market in this region.

In case, any of your paint points areas are not covered in the current scope of this report, Request for Customization here

Various notable players in the Artificial Intelligence in Agriculture Market include IBM Corporation, Deere & Company, Microsoft Corporation, The Climate Corporation (Subsidiary of Monsanto), Granular Inc., Descartes Labs, Inc., Prospera Technologies, AgEagle Aerial Systems Inc., Taranis, aWhere Inc., GAMAYA, among others.

Key Developments:

• • In Fen 2019, Prospera Technologies, an Israeli-based machine vision and artificial intelligence company, announced a partnership with Valmont Industries, Inc., a product and service provider for infrastructure and equipment for agriculture. The partnership aims to deliver farmers with autonomous crop management solutions, thereby generating higher revenues even from fewer production inputs and capitals. With this partnership, both the companies have combined artificial intelligence technologies with center pivot irrigation.
  • In Jul 2018, AgEagle signed an agreement to acquire Agribotix, an agriculture analytical company, to expand its imagery and data analytics offerings. With this acquisition, the company planned to integrate Agribotix’s FarmLens data analytics platform within AgEagle’s service offerings.

The Global Artificial Intelligence in Agriculture Market has been segmented based on the offering, technology, application, and region. Based on the offering, the market is categorized into hardware, software, ai-as-a-service, and service. Based on the hardware, the market is further segmented into a yield monitoring, field mapping, crop scouting, weather tracking and forecasting, and irrigation management. Based on software, the market is segmented into an AI platform and AI solution. Based on services, the market is segmented into deployment and integration, and support & maintenance. Based on technology, the market is segmented into machine learning, computer vision, and predictive analytics. Based on the application, the market is further segmented into precision farming, livestock monitoring, drone analytics, agriculture robots, and other application. Based on other applications, the market is segmented into smart greenhouse applications, soil management, and fish farming application.

For detailed scope of the “Artificial Intelligence in Agriculture Market” report request a Sample Copy of the report

Key questions answered in this research report:

• • At what pace is the Global Artificial Intelligence in Agriculture Market growing? What will be a growing trend in the future?
  • What are the key drivers and restraints in the Global Artificial Intelligence in Agriculture Market? What will be the impact of drivers and restraints in the future?
  • What are the regional revenue and forecast breakdowns? Which are the major regional revenue pockets for growth in the Global Artificial Intelligence in Agriculture Market?
  • What are the various application areas of the Global Artificial Intelligence in Agriculture Market, and how they are poised to grow?
  • Which Offering generated maximum revenues in 2019 and identify the most promising Offering during the forecast period?
  • What companies are the major participants in this market and their business strategies, how does the competitive landscape look like?

Report Coverage	Details
Market Base Year	2019
Market Forecast Period	2020-2027
Market Revenues Currency	USD Million
Base Year & Forecast Units	Revenues (USD Million)
Market Segment	By Offering, By, Technology, By Application, By Region
Regional Coverage	Asia Pacific, Europe, North America, and RoW
Companies Profiled	IBM Corporation, Deere & Company, Microsoft Corporation, The Climate Corporation (Subsidiary of Monsanto), Granular Inc., Descartes Labs, Inc., Prospera Technologies, AgEagle Aerial Systems Inc., Taranis, aWhere Inc., GAMAYA among others; A total of 11 Companies Covered.
25% Free Customization Available	We will customize this report up to 25% as a free customization to address our client’s specific requirements

Market Segmentation

Global Artificial Intelligence in Agriculture Market by Offering            

• • Hardware
    • Processor
    • Storage Device
    • Network
  • Software
    • AI Platform
    • AI Solution
  • AI-as-a-Service
  • Service
    • Deployment and Integration
    • Support and Maintenance

Global Artificial Intelligence in Agriculture Market by Technology

• • Machine Learning
  • Computer Vision
  • Predictive Analytics

Global Artificial Intelligence in Agriculture Market by Application

• • Precision Farming
    • Yield Monitoring
    • Field Mapping
    • Crop Scouting
    • Weather Tracking and Forecasting
    • Irrigation Management
  • Livestock Monitoring
  • Drone Analytics
  • Agriculture Robots
  • Other Applications
    • Smart Greenhouse Applications
    • Soil Management
      • Moisture Monitoring
      • Nutrient Monitoring
    • Fish Farming Application

Global Artificial Intelligence in Agriculture Market by Region

• • North America Artificial Intelligence in Agriculture Market (Option 1: As a part of the free 25% customization)
    • North America Artificial Intelligence in Agriculture Market by Offering
    • North America Artificial Intelligence in Agriculture Market by Technology
    • North America Artificial Intelligence in Agriculture Market by Application
    • US Artificial Intelligence in Agriculture Market All-Up
    • Canada Artificial Intelligence in Agriculture Market All-Up
  • Europe Artificial Intelligence in Agriculture Market (Option 2: As a part of the free 25% customization)
    • Europe Artificial Intelligence in Agriculture Market by Offering
    • Europe Artificial Intelligence in Agriculture Market by Technology
    • Europe Artificial Intelligence in Agriculture Market by Application
    • UK Artificial Intelligence in Agriculture Market All-Up
    • Germany All-Up Artificial Intelligence in Agriculture Market All-Up
    • France Artificial Intelligence in Agriculture Market All-Up
    • Spain Artificial Intelligence in Agriculture Market All-Up
    • Rest of Europe Artificial Intelligence in Agriculture Market All-Up
  • Asia-Pacific Artificial Intelligence in Agriculture Market (Option 3: As a part of the free 25% customization)
    • Asia-Pacific Artificial Intelligence in Agriculture Market by Offering
    • Asia-Pacific Artificial Intelligence in Agriculture Market by Technology
    • Asia-Pacific Artificial Intelligence in Agriculture Market by Application
    • China Artificial Intelligence in Agriculture Market All-Up
    • India Artificial Intelligence in Agriculture Market All-Up
    • Japan Artificial Intelligence in Agriculture Market All-Up
    • Rest of APAC Artificial Intelligence in Agriculture Market All-Up
  • RoW Artificial Intelligence in Agriculture Market (Option 4: As a part of the free 25% customization)
    • RoW Artificial Intelligence in Agriculture Market by Offering
    • RoW Artificial Intelligence in Agriculture Market by Technology
    • RoW Artificial Intelligence in Agriculture Market by Application
    • Brazil Artificial Intelligence in Agriculture Market All-Up
    • South Africa Artificial Intelligence in Agriculture Market All-Up
    • Saudi Arabia Artificial Intelligence in Agriculture Market All-Up
    • UAE Artificial Intelligence in Agriculture Market All-Up
    • Rest of world (remaining countries of the LAMEA region) Artificial Intelligence in Agriculture Market All-Up

Major Players Operating the Artificial Intelligence in Agriculture (Option 5: As a part of the Free 25% Customization – Profiles of 5 Additional Companies of your Choice)

• • IBM Corporation
  • Deere & Company
  • Microsoft Corporation
  • The Climate Corporation (Subsidiary of Monsanto)
  • Granular Inc.
  • Descartes Labs, Inc.
  • Prospera Technologies
  • AgEagle Aerial Systems Inc.
  • Taranis
  • aWhere Inc.
  • GAMAYA