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Artificial Intelligence (AI) in Agriculture Market Insights

Artificial Intelligence (AI) in Agriculture Market Size was valued at USD 2.6 Billion in 2023 and is expected to reach USD 16.2 Billion by the end of 2030 with a CAGR of 23.2% During the Forecast Period 2023-2030.

In order to improve productivity, sustainability, and efficiency in the agricultural industry, artificial intelligence (AI) in agriculture refers to the integration and application of cutting-edge computing technology, machine learning algorithms, and data analytics. This innovative technology optimizes a variety of agricultural processes, from resource allocation and decision-making to crop management and monitoring, by utilizing data-driven insights. Large volumes of agricultural data, such as weather patterns, crop health, soil conditions, and past performance, are processed by complex algorithms in the AI in Agriculture sector. Real-time monitoring and analysis are made possible by the data gathered from sensors, satellite imaging, and other Internet of Things devices spread throughout farms. Afterwards, the AI algorithms can produce useful insights that farmers can use to guide their decisions about fertilization, irrigation, pest control, and general crop management. Predictive analytics is one of the main uses of AI in agriculture since it helps farmers foresee problems and take proactive measures to solve them. For example, using past data, machine learning models can forecast agricultural illnesses or insect infestations, enabling farmers to take preventative action and reduce production losses. AI also makes precision agriculture easier by maximizing the use of resources like water, fertilizer, and pesticides, which lowers waste and its negative effects on the environment.

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Artificial Intelligence (AI) in Agriculture Market Trends

A new age of precision farming and sustainable methods is being ushered in by the Artificial Intelligence (AI) in Agriculture business, which is undergoing a transformative wave. AI is transforming agriculture through the use of sophisticated machine learning algorithms and data analytics to improve crop management, animal monitoring, and overall farm efficiency. The combination of AI and agriculture promises improved productivity, resource efficiency, and resilience in the face of changing global issues as the sector adjusts to these cutting-edge technologies.

From Precision Farming to Hyper-Personalization

AI is revolutionizing agriculture by hyper-personalizing the entire ecosystem, surpassing just optimizing decisions at the field level. In order to anticipate and respond to particular demands at the micro-level, machine learning algorithms are evaluating enormous databases of soil health, weather patterns, and individual plant traits. This process results in focused resource allocation, pest and disease prevention, and tailored crop selection. This move toward hyper-personalization will reduce waste and maximize yield potential, resulting in notable efficiency benefits.

AI-powered Robotics and Automation Take Center Stage

Agriculture has always used robotics, but AI is transforming what it can do. With the help of sophisticated sensors and computer vision, autonomous robots are doing jobs like fruit picking, weed removal, and animal monitoring with ever-increasing precision and efficiency. This lowers the need for manual labor, boosts safety, and permits round-the-clock operation, all of which eventually result in more output and lower costs. Moreover, AI-driven robots are being developed for particular applications, such as self-sufficient vertical farming systems, hence broadening the automation potential in the agriculture sector.

Data Democratization and Collaboration

The abundance of data produced by AI-enabled agricultural technologies offers a singular opportunity. Farmers, independent of their specific technological expertise, may now access and evaluate this data thanks to open-source platforms and data sharing programs. This data democratization spurs innovation and knowledge sharing in the agricultural sector by enabling farmers to take part in cooperative research projects and make well-informed decisions. This tendency is further strengthened by the emergence of farmer-driven AI cooperatives, which enable smaller farms to take advantage of the combined power of data for mutual gains.

Artificial Intelligence (AI) in Agriculture Market Scope Of the Report

This report offers past, present as well as future analysis and estimates for the Artificial Intelligence (AI) in Agriculture Market. The market estimates that are provided in the report are calculated through an exhaustive research methodology. The research methodology that is adopted involves multiple channels of research, such as – primary research, secondary research, and subject-related expert advice. The market estimates are calculated based on the influence of the current market dynamics along with various economic, social, and political factors on the Artificial Intelligence (AI) in Agriculture Market. Also, various regulations, government spending, and research and development growth define the market data. Both positive, as well as negative changes to the market, are taken into consideration for the market estimates.

Artificial Intelligence (AI) in Agriculture Market Competitive Landscape

The market report lists the major players involved in the Artificial Intelligence (AI) in Agriculture Market under the competitive landscape and company profile chapters. The major players in the market are evaluated based on their product and/or service offerings, financial statements, key developments, strategic approach to the market, position in the market, geographical penetration, and other key features. The chapter also highlights the strengths, weaknesses, opportunities, and threats (SWOT analysis), winning imperatives, current focus and strategies, and threats from competition for the top three to five players in the market. Furthermore, the list of companies included in the market study can also be customized as per the client’s requirements. The competitive landscape section of the report covers details in terms of the top five company’s ranking, key developments such as recent developments, partnerships, mergers and acquisitions, new product launches, etc., the company’s regional footprint, and company industry footprint as per the market and Ace matrix.

Company Regional Footprint

This section provides geographical or regional level reach or their sales network presence for each of company’s considered for profiling.

Company Industry Footprint

This section provides the cross-analysis of industry verticals and market players that gives a clear picture of the company landscape with respect to the industries they are serving their products and services.

Ace Matrix

This section provides company benchmarking into Active, Cutting Edge, Innovator, and Emerging based on their product and business strategy. In Which, product strategy includes parameters such as Breadth & Depth of Product, Focus on Product Innovation, Product features & functions, Scalability whereas business strategy includes parameters such as geographical reach, Industry Coverage, Inorganic Growth, and Roadmap.

Top Artificial Intelligence (AI) in Agriculture Market Companies 

The Artificial Intelligence (AI) in Agriculture Market Report delivers an in-depth analysis of leading and emerging players in the market. The Report provides comprehensive lists of key companies which have been enlisted on the basis of type of products they are offering & other factors in Market. Among company profiling market analysis, the analysts who worked on the report gave the year of market entry for each mentioned player can be considered for the research analysis.

The “Global Artificial Intelligence (AI) in Agriculture Market” study report will provide a valuable insight with an emphasis on the global market including some of the major players such as Autodesk, IBM, Microsoft, Oracle, SAP, Fanuc, Hanson Robotics. 

Artificial Intelligence (AI) in Agriculture Market Segmentation

By Type

  • Hardware
  • Software
  • Services

By Application

  • Customer Service
  • Credit Scores
  • Insurance Support
  • Financial Market Prediction

By Geography

  • North America
  • Europe
  • Asia Pacific
  • Middle East & Africa
  • Latin America

Artificial Intelligence (AI) in Agriculture Market Report Coverage

Research Methodology

The qualitative and quantitative data of the Artificial Intelligence (AI) in Agriculture Market is prepared through various research considerations such as subject matter expert advice, primary and secondary research. Primary research leverages valuable information from face-to-face and/or telephonic interviews and surveys, questionnaires, industry expert opinion, KOLs, customers, and others. Primary interviews are conducted regularly with industry experts to create in-depth expert information on the market and to substantiate the existing analysis of the data. Secondary research done by Verified Market Reports research team through various sources such as
  • Company websites, annual reports, financial reports, investor presentations and SEC filings
  • Internal and external proprietary databases, relevant patent, and regulatory databases
  • National government documents, statistical databases, and market reports
  • News articles, press releases and web-casts specific to the companies operating in the market
  • Paid database
Verified Market Reports contacted various key opinion leaders from the same industry, who are top and mid-level executives from top companies as well as executives (marketing heads, regional heads) from End users to collect information/data such as the dominance of particular brand in each country as well as overall region, pricing of services and products. The data for total sales was determined through primary research in each of the countries by interviewing key opinion leaders which included insights from
  • C-Level Executives
  • Marketing Manager, Brand Manager, Product Manager
  • Sales Manager, Sales Officer, Regional Sales Manager, Country Manager
  • Procurement Manager
  • Production Manager
  • Technical Personnel
  • Distributors
The subject matter experts act as a key link to validate and substantiate the key research findings and understandings as the experts have acquired extensive experience in the market over the years. Secondary research data for the Artificial Intelligence (AI) in Agriculture Market are collected from the internet, printed documents (company annual reports and research papers) related to the industry, industrial magazines, association findings, government websites, and others. These multiple information sources provide a key outline of the market.
  1. Introduction of Artificial Intelligence AI in Agriculture Market
    1. Market Definition
    2. Market Segmentation
    3. Research Timelines
    4. Assumptions
    5. Limitations
  2. *This section outlines the product definition, assumptions and limitations considered while forecasting the market.
  3. Research Methodology
    1. Data Mining
    2. Secondary Research
    3. Primary Research
    4. Subject Matter Expert Advice
    5. Quality Check
    6. Final Review
    7. Data Triangulation
    8. Bottom-Up Approach
    9. Top-Down Approach
    10. Research Flow
  4. *This section highlights the detailed research methodology adopted while estimating the overall market helping clients understand the overall approach for market sizing.
  5. Executive Summary
    1. Market Overview
    2. Ecology Mapping
    3. Primary Research
    4. Absolute Market Opportunity
    5. Market Attractiveness
    6. Artificial Intelligence AI in Agriculture Market Geographical Analysis (CAGR %)
    7. Artificial Intelligence AI in Agriculture Market by Type USD Million
    8. Artificial Intelligence AI in Agriculture Market by Application USD Million
    9. Future Market Opportunities
    10. Product Lifeline
    11. Key Insights from Industry Experts
    12. Data Sources
  6. *This section covers comprehensive summary of the global market giving some quick pointers for corporate presentations.
  7. Artificial Intelligence AI in Agriculture Market Outlook
    1. Artificial Intelligence AI in Agriculture Market Evolution
    2. Market Drivers
      1. Driver 1
      2. Driver 2
    3. Market Restraints
      1. Restraint 1
      2. Restraint 2
    4. Market Opportunities
      1. Opportunity 1
      2. Opportunity 2
    5. Market Trends
      1. Trend 1
      2. Trend 2
    6. Porter's Five Forces Analysis
    7. Value Chain Analysis
    8. Pricing Analysis
    9. Macroeconomic Analysis
    10. Regulatory Framework
  8. *This section highlights the growth factors market opportunities, white spaces, market dynamics Value Chain Analysis, Porter's Five Forces Analysis, Pricing Analysis and Macroeconomic Analysis
  9. by Type
    1. Overview
    2. Hardware
    3. Software
    4. Services
  10. by Application
    1. Overview
    2. Customer Service
    3. Credit Scores
    4. Insurance Support
    5. Financial Market Prediction
  11. Artificial Intelligence AI in Agriculture Market by Geography
    1. Overview
    2. North America Market Estimates & Forecast 2021 - 2031 (USD Million)
      1. U.S.
      2. Canada
      3. Mexico
    3. Europe Market Estimates & Forecast 2021 - 2031 (USD Million)
      1. Germany
      2. United Kingdom
      3. France
      4. Italy
      5. Spain
      6. Rest of Europe
    4. Asia Pacific Market Estimates & Forecast 2021 - 2031 (USD Million)
      1. China
      2. India
      3. Japan
      4. Rest of Asia Pacific
    5. Latin America Market Estimates & Forecast 2021 - 2031 (USD Million)
      1. Brazil
      2. Argentina
      3. Rest of Latin America
    6. Middle East and Africa Market Estimates & Forecast 2021 - 2031 (USD Million)
      1. Saudi Arabia
      2. UAE
      3. South Africa
      4. Rest of MEA
  12. This section covers global market analysis by key regions considered further broken down into its key contributing countries.
  13. Competitive Landscape
    1. Overview
    2. Company Market Ranking
    3. Key Developments
    4. Company Regional Footprint
    5. Company Industry Footprint
    6. ACE Matrix
  14. This section covers market analysis of competitors based on revenue tiers, single point view of portfolio across industry segments and their relative market position.
  15. Company Profiles
    1. Introduction
    2. Autodesk
      1. Company Overview
      2. Company Key Facts
      3. Business Breakdown
      4. Product Benchmarking
      5. Key Development
      6. Winning Imperatives*
      7. Current Focus & Strategies*
      8. Threat from Competitors*
      9. SWOT Analysis*
    3. IBM
    4. Microsoft
    5. Oracle
    6. SAP
    7. Fanuc
    8. Hanson Robotics

  16. *This data will be provided for Top 3 market players*
    This section highlights the key competitors in the market, with a focus on presenting an in-depth analysis into their product offerings, profitability, footprint and a detailed strategy overview for top market participants.

  17. Verified Market Intelligence
    1. About Verified Market Intelligence
    2. Dynamic Data Visualization
      1. Country Vs Segment Analysis
      2. Market Overview by Geography
      3. Regional Level Overview

  18. Report FAQs
    1. How do I trust your report quality/data accuracy?
    2. My research requirement is very specific, can I customize this report?
    3. I have a pre-defined budget. Can I buy chapters/sections of this report?
    4. How do you arrive at these market numbers?
    5. Who are your clients?
    6. How will I receive this report?

  19. Report Disclaimer

Companies featured in this report

  • Autodesk
  • IBM
  • Microsoft
  • Oracle
  • SAP
  • Fanuc
  • Hanson Robotics

Frequently Asked Questions

How big is the Artificial Intelligence (AI) in Agriculture Market?
Artificial Intelligence (AI) in Agriculture Market Size was valued at USD 2.6 Billion in 2023 and is expected to reach USD 16.2 Billion by the end of 2030 with a CAGR of 23.2% During the Forecast Period 2023-2030.
Who are the major players in the Artificial Intelligence (AI) in Agriculture Market?
The leading Players in the market are Autodesk, IBM, Microsoft, Oracle, SAP, Fanuc, Hanson Robotics
Which segments are covered in the report of Artificial Intelligence (AI) in Agriculture Market?
The Artificial Intelligence (AI) in Agriculture Market is Segmented On The Basis Of Type, Application, And Geography.
Which regions are covered in the report that having a potential scope for the Artificial Intelligence (AI) in Agriculture Market?
On the basis of Geography, The Artificial Intelligence (AI) in Agriculture Market is classified into North America, Europe, Asia Pacific, and the Rest of the world.
How can I get a sample report of statistical data for the Artificial Intelligence (AI) in Agriculture Market?
Verified Market Reports provides a sample report for the Artificial Intelligence (AI) in Agriculture Market as per requirements. In addition to that, 24*7 chat support & direct call services are available for further assistance.
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