As part of Emergen Research's Global Artificial Intelligence in Agriculture Market Research Report, key business details and extensive geographical spread of the Artificial Intelligence in Agriculture industry have been analyzed. The current COVID-19 pandemic is expected to have an effect on the growth of the Artificial Intelligence in Agriculture industry, primarily as a result of movement restrictions and impact on supply and demand due to lockdowns. In the wake of the COVID-19 pandemic, Artificial Intelligence in Agriculture will probably be one of the markets that have been impacted, along with other sectors. The sector's growth would be further hampered by the recession in the economy and the dynamic shifts in demand. The COVID-19 pandemic's effects on the entire Artificial Intelligence in Agriculture industry are covered in the paper. In addition to a thorough qualitative and quantitative examination, the report also includes significant data regarding the Artificial Intelligence in Agriculture market. Based on historical data from 2017 and 2018, a thorough projection is given till 2030. Profiles of both established and up-and-coming players are also provided, together with information on their business strategies, product portfolios, strategic alliances, and business expansion plans.

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 report bifurcates the Artificial Intelligence in Agriculture market on the basis of different product types, applications, end-user industries, and key regions of the world where the market has already established its presence. The report accurately offers insights into the supply-demand ratio and production and consumption volume of each segment.

Key Companies Profiled in the Report are:

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

Regional Landscape section of the Artificial Intelligence in Agriculture report offers deeper insights into the regulatory framework, current and emerging market trends, production and consumption patterns, supply and demand dynamics, import/export, and presence of major players in each region.

The section on the competitive landscape offers valuable and actionable insights related to the business sphere of the Artificial Intelligence in Agriculture market, covering extensive profiling of the key market players. The report offers information about market share, product portfolio, pricing analysis, and strategic alliances such as mergers and acquisitions, joint ventures, collaborations, partnerships, product launches and brand promotions, among others. The report also discusses the initiatives taken by the key companies to combat the impact of the COVID-19 pandemic.

The various regions analyzed in the report include:

  • North America (U.S., Canada)
  • Europe (U.K., Italy, Germany, France, Rest of EU)
  • Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
  • Latin America (Chile, Brazil, Argentina, Rest of Latin America)
  • Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)

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Furthermore, the report provides the analytical data in an organized format segmented into charts, tables, graphs, figures, and diagrams. This enables readers to understand the market scenario in an easy and beneficial manner. Moreover, the report aims to impart a prospective outlook and draw an informative conclusion to assist the reader in making lucrative business decisions. The report, in conclusion, provides a detailed analysis of the segments expected to dominate the market, the regional bifurcation, the estimated market size and share, and comprehensive SWOT analysis and Porter’s Five Forces Analysis.

On the basis of type, the market is segmented into

  • 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

Research Report on the Artificial Intelligence in Agriculture Market Addresses the Following Key Questions:

  • Who are the dominant players of the Artificial Intelligence in Agriculture market?
  • Which regional market is anticipated to have a high growth rate over the projected period?
  • What consumer trends and demands are expected to influence the operations of the market players in the Artificial Intelligence in Agriculture market?
  • What are the key growth drivers and restraining factors of the Artificial Intelligence in Agriculture market?
  • What are the expansion plans and strategic investment plans undertaken by the players to gain a robust footing in the market?
  • What is the overall impact of the COVID-19 pandemic on the Artificial Intelligence in Agriculture market and its key segments?

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