Emergen Research's most recent study, “Global Artificial Intelligence in Agriculture Market - Forecast to 2030", provides a comprehensive analysis of current and potential developments in the global Artificial Intelligence in Agriculture market. The research today compiles all the most recognized businesses in the sector, sales and distribution channels, regional reach, market share and estimated size, as well as revenue projections for the forecast year. A thorough analysis of the industry, concentrating on total market compensation throughout the predicted period, is included in the paper. The most recent research report is an excellent illustration of the thorough examination of the global Artificial Intelligence in Agriculture market. The table of contents, a list of tables and figures, the research methodology, the competitive landscape, geographic segmentation, future developments, and technological innovation are all included. This business field has been affected in almost every way by the global disruption. However, the most recent study predicts the effects of the pandemic on this industry and discusses the current market situation. Besides, the significant parts of the market have been talked about in the report, with well-qualified conclusions on the ongoing status of 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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Leading companies profiled in the report:

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

Global Artificial Intelligence in Agriculture Market Geographical Landscape - Synopsis:

• The report closely studies the growth trajectory of the global Artificial Intelligence in Agriculture market. It brings to light the global dominance of the leading regional segments, including North America, Asia Pacific, Europe, Latin America, and the Middle East Africa.
• The study elaborates on the crucial information pertaining to the regional market share. It simultaneously focuses on the significant details about the growth patterns of each regional market.
• Moreover, the report encases an exhaustive geographical study of the market, emphasizing the business growth prospects and market barriers for each of the key market regions.

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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 order to help the reader, make wise business decisions, the study also attempts to offer a forward-looking viewpoint and an informative conclusion. A thorough SWOT and Porter's Five Forces analysis of the market segments expected to dominate the market, regional division, estimated market size and share, and more are included in the report's conclusion.

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

Elucidating the competitive landscape of the Global Artificial Intelligence in Agriculture Market:

• The global Artificial Intelligence in Agriculture market report offers viable insights into the competitive spectrum of the Artificial Intelligence in Agriculture business sphere.
• The report systematically profiles the company information of each market player.
• It identifies the estimated industry share, production facilities, development prospects, and geographies served by each market player.
• The study showcases the extensive product portfolios of the prominent market contenders.
• It offers critical data information about the product application scope and the end-user landscape.
• The study provides salient information about the pricing models of the products offered by these companies. Moreover, it determines the gross profits and losses experienced by them throughout their market tenures.

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