AI in Agriculture Market Outlook

Straits Research's latest report on,AI in Agriculture Market – Forecast to 2030, is a comprehensive study of the AI in Agriculture industry and provides the targeted readers with vital data & information pertaining to the industry. The report comprises quantitative and qualitative research on the AI in Agriculture Market, as well as key information on the current and emerging market revenue growth opportunities & trends. The report covers a wide range of dynamic factors influencing market revenue growth, such as drivers, restraints, risks, challenges, threats, supply & demand ratios, production & manufacturing capacities, sales & distribution networks, cost & demand volatility, import/export ratios, profit margins, market share, market size, and macro-economic and micro-economic factors. The report also offers information on different product types, application ranges, regional markets, technology and end-use landscapes, and competitive scenario.

According to straits research the AI in Agriculture Market will grow at a CAGR of 19.9% during the forecast period.

Competitive Landscape

Some of the prominent players operating in the AI in Agriculture market are

Thermo Fisher Scientific Inc., GAMAYA, PrecisionHawk, Cainthus Ireland Limited, VineView, Easytosee Agtech, S.L., Vision Robotics Corporation, Inc., Farmers Edge, Granular, Inc., IBM, John Deere, Microsoft Corporation, Trace Genomics, Inc., RESSON, Connecterra, and Harvest Croo.

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Studies explore the effects of COVID-19 on the upstream, midstream, and downstream sectors of the industry. In addition, this analysis provides extensive market estimations by putting an emphasis on data covering numerous factors that encompass market dynamics such as market drivers, market barriers, market opportunities, market risks, and industry news and trends.

Global AI in Agriculture Market: Segmentation

As a result of the AI in Agriculture market segmentation, the market is divided into sub-segments based on product type, application, as well as regional and country-level forecasts.

By Component

  • Solution
  • Service

By Technology

  • Machine Learning
  • Computer Vision
  • Predictive Analytics

By Applications

  • Precision Farming
  • Livestock Monitoring
  • Drone Analytics
  • Agriculture Robots
  • Others

By Regions

  • North America
  • Europe
  • Asia-Pacific
  • LAMEA

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Market Highlights:

  • A company's revenue and the applications market are used by market analysts, data analysts, and others in connected industries to assess product values and regional markets.
  • But not limited to: reports from corporations, international Organization, and governments; market surveys; relevant industry news.
  • Examining historical market patterns, making predictions for the year 2022, as well as looking forward to 2030, using CAGRs (compound annual growth rates)
  • Historical and anticipated data on demand, application, pricing, and market share by country are all included in the study, which focuses on major markets such the United States, Europe, and China.
  • Apart from that, it sheds light on the primary market forces at work as well as the obstacles, opportunities, and threats that suppliers face. In addition, the worldwide market's leading players are profiled, together with their respective market shares.

Goals of the Study

  • Global AI in Agriculture market consumption (value) by main areas and countries, product type (and application), statistics from 2019 to 2020 will be examined till forecast 2030.
  • Identify the different subsegments of the AI in Agriculture market in order to better comprehend its structure.
  • Analysis of the value of the market, as well as the competitive landscape, Porter's five forces analysis and SWOT analysis of the top AI in Agriculture worldwide manufacturers are included in this report.
  • We'll look at how well each of the AI in Agriculture is doing and how much they contribute to market size.
  • Sharing in-depth information regarding the market's development factors (growth potential, opportunities, drivers, industry-specific challenges and risks).
  • According to main geographies, the consumption of AI in Agriculture submarkets will be forecasted (along with their respective key countries).
  • To keep up with market changes, such as new product launches, expansions, and acquisitions.
  • To identify and assess the most important companies in the market, as well as their development plans.

Trending Report:

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About Straits Research

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