AI in Agriculture Market Comprehensive Study with Key Trends, Major Drivers and Challenges

AI in Agriculture Market Growth:

Washington, D.C., United States: Straits Research's latest report on, AI in Agriculture Market - Global Industry Overview and Forecast 2022-2030, highlights potential, risk factor analyses, and enhanced with strategic and tactical decision-making assistance. The growth and regulatory factors impacting information consumption, the availability of highly dependable items in the market, and the improvement in operating efficiency of AI in Agriculture industry players. According to the Straits Research, AI in Agriculture Market Size is Projected to grow at a CAGR of 25% during the forecast period. AI in Agriculture Market Scope report covers market trends and development, drivers, capacities, technologies, and the changing dynamics of the AI in Agriculture Market.

Competitive Landscape

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

1. Thermo Fisher Scientific Inc.
2. GAMAYA
3. PrecisionHawk
4. Cainthus Ireland Limited
5. VineView
6. Easytosee Agtech S.L.
7. Vision Robotics Corporation INC.
8. Farmers Edge
9. Granular INC.
10. IBM
11. John Deere
12. Microsoft Corporation
13. Trace Genomics INC.
14. RESSON
15. Connecterra
16. 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.

This research also provides a dashboard view of prominent Organization, highlighting their effective marketing tactics, market share and most recent advances in both historical and current settings.

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.

1. By Component
   1. Solution
   2. Service
2. By Technology
   1. Machine Learning
   2. Computer Vision
   3. Predictive Analytics
3. By Applications
   1. Precision Farming
   2. Livestock Monitoring
   3. Drone Analytics
   4. Agriculture Robots
   5. Others

The report forecasts revenue growth at all the geographic levels and provides an in-depth analysis of the latest industry trends and development patterns from 2022 to 2030 in each of the segments and sub-segments. Some of the major geographies included in the market are given below:

• North America (U.S., Canada)
• Europe (U.K., Germany, France, Italy)
• Asia Pacific (China, India, Japan, Singapore, Malaysia)
• Latin America (Brazil, Mexico)
• Middle East Africa

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The following are the report's key features:

• It gives useful information on the Global AI in Agriculture Market.
• Information for the years 2022-2030 is provided.
• Market-related important factors are highlighted.
• The latest technological innovations, government restrictions, and developments are presented.
• This paper investigates advertising and marketing techniques, market trends, and analysis.
• Growth projections and analyses by forecast 2030.
• The statistical analysis of the market's leading competitors is emphasised.
• AI in Agriculture Market summary based on extensive study.

Other aspects of the report include:

• Provides a complete review of important tactics in numerous firms, with an emphasis on corporate structure, RD processes, localization strategies, manufacturing capabilities, sales, and performance.
• Provides essential product portfolio information, including product planning, development, and positioning.
• Analyzes the role of significant market participants, as well as their collaborations, mergers, and acquisitions.

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