Artificial Intelligence in Agriculture
SKU
MRR-F949FCDE1347
Region
Global
Publication Date
March 2024
Delivery
Immediate
2023
USD 2.25 billion
2030
USD 9.29 billion
2024
USD 2.73 billion
CAGR
22.45%
Artificial Intelligence in Agriculture Market by Offering (Hardware, Services, Software), Technology (Computer Vision, Machine Learning, Predictive Analytics), Deployment, Application - Global Forecast 2024-2030

[189 Pages Report] The Artificial Intelligence in Agriculture Market size was estimated at USD 2.25 billion in 2023 and expected to reach USD 2.73 billion in 2024, at a CAGR 22.45% to reach USD 9.29 billion by 2030.

Artificial Intelligence in Agriculture Market
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Artificial intelligence (AI) techniques are significantly growing across the agriculture sector, which helps farmers to determine various parameters such as weed detection and yield detection and optimize the production and operation processes. These AI technologies allow farmers to recognize specific areas that need pesticide treatment, irrigation, and fertilization and harvest the crops without human error. In addition, these technologies save the excess use of water, pesticides, and herbicides, preserve soil fertility, and improve crop quality. Furthermore, the adoption of advanced unmanned aerial vehicles (UAVs) among farmers is significantly growing owing to their multiple features, such as capturing high-quality images and videos, which enables farmers to monitor the crops continuously. In addition, these unmanned aerial vehicles are assisting farmers in gathering data and tracking crops more effectively. These drones are widely used for various activities in agriculture, including crop mapping, soil analysis, irrigation, pest management, and increasing crop yield. However, the high cost of deployment of artificial intelligence and lack of awareness among farmers for AI in the agriculture sector is limiting the market growth. Moreover, introducing advanced farming technologies with artificial intelligence, such as big data and IoT, enables more precise farming practices, including irrigation, fertilizing, crop protection, and harvesting.

Artificial Intelligence in Agriculture Market - Global Forecast 2024-2030
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Regional Insights

The advanced agriculture facilities and adoption of AI-based agriculture owing to the easy accessibility of AI-based agriculture across North America regions are contributing to the growth of artificial intelligence in the agriculture market. Additionally, U.S. government initiatives such as the farms of the future program, which aim to encourage farmers to adopt and integrate technology, are expected to create opportunities for artificial intelligence in the agriculture market across the Americas. Furthermore, SmartAgriHubs projects are encouraging farmers to adopt digital solutions to accelerate the digital transformation in the EU farming sector, majorly in rural areas, which is further expected to grow the market in this region. Emerging agriculture developments and government programs for the adoption of advanced technologies across the agriculture sector in various Asia Pacific countries, including India, China, and Vietnam, are subsequently expanding the market scope.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Artificial Intelligence in Agriculture Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Artificial Intelligence in Agriculture Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Recent Developments
  • SLCM’s AI-Based App Agri Reach Gets NABL Accreditation

    Sohan Lal Commodity Management Pvt. Ltd. (SLCM) Group, an agri-logistics solutions provider, received NABL accreditation for their AI-based app Agri Reach, which offers a range of services, including crop advisory, weather forecast, and market insights. This move is a game-changer in the ag-tech industry and could pave the way for more innovative solutions in the future. [Published On: 2023-03-18]

  • Wadhwani AI Signs MoU with Karnataka Government to Promote Welfare for Farmers

    Wadhwani AI has signed a memorandum of understanding with the state government to promote farmers' welfare in Karnataka. This move is aimed at revolutionizing the agriculture sector in the region through the use of artificial intelligence. The application of AI in agriculture has the potential to transform the process of producing crops and address the existing challenges in the industry. By leveraging AI technologies, farmers can streamline their production processes, optimize their yields, and make informed decisions about crop management. [Published On: 2023-02-27]

  • Astanor Ventures Leads USD 23 Million Series A for Source.Ag's Greenhouse System

    The recent Series A funding of USD 23 million into the agri-tech start-up Astanor Ventures is a major milestone in the advancement of artificial intelligence as it applies to agriculture. This investment will create an environment where farmers and growers can use data-driven solutions to maximize their yields while reducing resources and waste. Astanor's innovative approach has the potential to revolutionize how we grow fresh produce, providing a foundation for increased sustainability and efficiency in our agricultural industry. [Published On: 2023-02-22]

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence in Agriculture Market, highlighting leading vendors and their innovative profiles. These include Ag Code by Wilbur-Ellis Holdings, Inc., AGCO Corporation, AgEagle Aerial Systems Inc., AgNext, Apro Software, Bayer AG., Cainthus by Ever.Ag, ClimateAi, inc., Corteva Agriscience by Albaugh, LLC, Cropin Technology Solutions Pvt Ltd., CropX Technologies Ltd., DeHaat by Green Agrevolution PVT. LTD, Descartes Labs, Inc. by Antarctica Capital, FarmBot, Inc., Farmers Edge Inc., Gamaya Inc., Gro Intelligence, Inc., Infosys Limited, Intellias, LLC, Intello Labs Private Limited, International Business Machines Corporation, John Deere Group, Keenethics., Khetibuddy Agritech Private Limited., Microsoft Corporation, PrecisionHawk Inc., Raven Industries, Inc., Trace Genomics, Inc., Trimble Inc., Tule Technologies Inc., and Wipro Limited.

Market Segmentation & Coverage

This research report categorizes the Artificial Intelligence in Agriculture Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Offering
    • Hardware
    • Services
    • Software
  • Technology
    • Computer Vision
    • Machine Learning
    • Predictive Analytics
  • Deployment
    • Cloud
    • Hybrid
    • On-premise
  • Application
    • Agriculture Robots
    • Drone Analytics
    • Labor Management
    • Livestock Monitoring
    • Precision Farming

  • Region
    • Americas
      • Argentina
      • Brazil
      • Canada
      • Mexico
      • United States
        • California
        • Florida
        • Illinois
        • New York
        • Ohio
        • Pennsylvania
        • Texas
    • Asia-Pacific
      • Australia
      • China
      • India
      • Indonesia
      • Japan
      • Malaysia
      • Philippines
      • Singapore
      • South Korea
      • Taiwan
      • Thailand
      • Vietnam
    • Europe, Middle East & Africa
      • Denmark
      • Egypt
      • Finland
      • France
      • Germany
      • Israel
      • Italy
      • Netherlands
      • Nigeria
      • Norway
      • Poland
      • Qatar
      • Russia
      • Saudi Arabia
      • South Africa
      • Spain
      • Sweden
      • Switzerland
      • Turkey
      • United Arab Emirates
      • United Kingdom

The report offers valuable insights on the following aspects:

  1. Market Penetration: It presents comprehensive information on the market provided by key players.
  2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
  3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
  4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
  5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

  1. What is the market size and forecast of the Artificial Intelligence in Agriculture Market?
  2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Agriculture Market?
  3. What are the technology trends and regulatory frameworks in the Artificial Intelligence in Agriculture Market?
  4. What is the market share of the leading vendors in the Artificial Intelligence in Agriculture Market?
  5. Which modes and strategic moves are suitable for entering the Artificial Intelligence in Agriculture Market?

Table of Contents
  1. Preface
  2. Research Methodology
  3. Executive Summary
  4. Market Overview
  5. Market Insights
  6. Artificial Intelligence in Agriculture Market, by Offering
  7. Artificial Intelligence in Agriculture Market, by Technology
  8. Artificial Intelligence in Agriculture Market, by Deployment
  9. Artificial Intelligence in Agriculture Market, by Application
  10. Americas Artificial Intelligence in Agriculture Market
  11. Asia-Pacific Artificial Intelligence in Agriculture Market
  12. Europe, Middle East & Africa Artificial Intelligence in Agriculture Market
  13. Competitive Landscape
  14. Competitive Portfolio
Companies Mentioned
  • Ag Code by Wilbur-Ellis Holdings, Inc.
  • AGCO Corporation
  • AgEagle Aerial Systems Inc.
  • AgNext
  • Apro Software
  • Bayer AG.
  • Cainthus by Ever.Ag
  • ClimateAi, inc.
  • Corteva Agriscience by Albaugh, LLC
  • Cropin Technology Solutions Pvt Ltd.
  • CropX Technologies Ltd.
  • DeHaat by Green Agrevolution PVT. LTD
  • Descartes Labs, Inc. by Antarctica Capital
  • FarmBot, Inc.
  • Farmers Edge Inc.
  • Gamaya Inc.
  • Gro Intelligence, Inc.
  • Infosys Limited
  • Intellias, LLC
  • Intello Labs Private Limited
  • International Business Machines Corporation
  • John Deere Group
  • Keenethics.
  • Khetibuddy Agritech Private Limited.
  • Microsoft Corporation
  • PrecisionHawk Inc.
  • Raven Industries, Inc.
  • Trace Genomics, Inc.
  • Trimble Inc.
  • Tule Technologies Inc.
  • Wipro Limited
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Frequently Asked Questions about the Artificial Intelligence in Agriculture Market
The Global Artificial Intelligence in Agriculture Market size was estimated at USD 2.25 billion in 2023 and expected to reach USD 2.73 billion in 2024.
The Global Artificial Intelligence in Agriculture Market to grow USD 9.29 billion by 2030, at a CAGR of 22.45%
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