Our team of analysts has meticulously curated the Emerging Research publication titled “Global Artificial Intelligence in Agriculture Markets” to the reader's understanding and includes an industry distribution database overview. The report thoroughly examines the effect of the global health crisis on the market's overall growth. The most recent research report is a fantastic illustration of how the global Artificial Intelligence in Agriculture market was carefully examined. The study methodology, competitive environment, geographic segmentation, future developments, and technical innovation are all discussed. There is also a table of contents and a list of tables and figures. This industry has been touched by the global upheaval in almost every way. The most recent analysis, however, analyses the market and makes predictions about how the pandemic might impact this area of the economy. The investigation examined the major market segments as well, and it reached well-qualified judgements about how the sector is doing right now.

The research conducts a detailed analysis of historical and current market circumstances in order to precisely project the outlook of the Global Artificial Intelligence in Agriculture Market throughout the forecast period (2022–2030). The analysts' analysis of the global market has highlighted the elements influencing the market's overall growth. To examine the advantages, disadvantages, opportunities, and threats involved in expanding into different market segments, research uses effective analytical tools such as Porter's five forces and analysis. SWOT. The study focuses on potential growth opportunities and constraints that the leading industry participants might experience over the course of the full forecast period. To assist readers in developing successful investment plans, the research gives specific attention to rising business components, specialty industries, product launches, and brand promotions happening in the market.

The Artificial Intelligence (AI) in agriculture market size reached USD 1.70 Billion in 2021 and is expected to register a revenue CAGR of 27.0% during the forecast period to a latest analysis by Emergen Research. The increasing implementation of data generation through sensors is a key factor driving revenue growth of the market. Precision agriculture is one type of farm management strategy that can assist farmers in producing more crops with fewer resources. The next big thing in farming may be AI-powered precision agriculture. To assist farmers to maximize yields and cut costs, precision farming combines the best soil management techniques, variable rate technologies, and the most efficient data management processes. Farmers may identify fields that require irrigation, fertilizer, or pesticide application by using real-time insights from AI. Additionally, innovative farming techniques such as vertical agriculture may assist boost food production while using fewer resources. Herbicide use is reduced, harvest quality is improved, earnings are increased, and there are significant cost savings as a result.

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The global Artificial Intelligence in Agriculture market is highly consolidated due to the presence of a large number of companies across this industry. These companies are known to make hefty investments in research and development projects. Also, they control a considerable portion of the overall market share, thus limiting the entry of new players into the sector.  The global Artificial Intelligence in Agriculture market report studies the prudent tactics undertaken by the leading market players, such as partnerships and collaborations, mergers acquisitions, new product launches, and joint ventures.

Some of the key participants in this industry include:

Microsoft Corporation, Descartes Labs, Inc., Gamaya Inc., Precision Hawk, Connecterra B.V, Autonomous Tractor Corporation, Taranis, IBM Corporation, Granular Inc., and VineView

Key regions covered in the report:

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

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On the basis of type, the market is segmented into

In addition, the analytical data are presented in a well-organized format in the form of charts, tables, graphs, figures, and diagrams in the report. This makes it easier for readers to comprehend the market scenario in a beneficial way. In addition, the report aims to provide a forward-looking perspective and an instructive conclusion to assist the reader in making profitable business decisions. The report concludes with a comprehensive SWOT and Porter's Five Forces analysis of the segments anticipated to dominate the market, regional bifurcation, estimated market size and share, and more.

• Component Outlook (Revenue, USD Billion; 2019-2030)

  • Hardware
  • Software

• Technology Outlook (Revenue, USD Billion; 2019-2030)

  • Machine Learning Deep Learning
  • Computer Vision
  • Predictive Analysis

• Application Outlook (Revenue, USD Billion; 2019-2030)

  • Precision Farming
  • Drone Analytics
  • Agriculture Robots
  • Others

Valuable Market Insights: 

• The report highlights the latest trends observed in the consumption pattern of each regional segment.
• Extensive market segmentation included in the report helps better understand the revenue and estimated growth of the individual regions.
• The report throws light on the historical and current market scenarios and provides a concise year-on-year growth rate of the global Artificial Intelligence in Agriculture market.
• The report further entails the current market trends, technological advancements, revenue growth, and other aspects affecting market growth.

Questions addressed in the report:

• What is the estimated market growth rate throughout the forecast period?
• Which end-use industry is expected to witness the highest demand for Artificial Intelligence in Agriculture in the near future?
• What is the regulatory framework governing the application of Artificial Intelligence in Agriculture in the food industry?
• Which manufacturing processes are utilized for the production of Artificial Intelligence in Agriculture?

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