AI in Agriculture Market Research

According to Straits Research, the global AI in Agriculture market size was valued at USD 1.63 billion in 2023. It is projected to reach from USD XX Billion in 2024 to USD 7.15 billion by 2032, growing at a CAGR of 20.2% during the forecast period (2024–2032).

The AI in Agriculture market, an evolving segment in the industry, is witnessing substantial expansion fueled by avant-garde technologies and escalating consumer demand. Market analysts scrupulously gather data through polls, focus groups, and in-depth scrutiny of industry patterns. These analysts utilize both quantitative and qualitative methodologies to ensure a comprehensive and precise market report. The report encompasses intricate insights on market size, growth prospects, competitive milieu, and consumer predilections. By harnessing advanced analytical instruments and expert acumen, the report delivers invaluable recommendations and strategic guidance for stakeholders, empowering them to make enlightened decisions and seize emerging prospects within the AI in Agriculture market.

Competitive Players

The competitive landscape of the AI in Agriculture market includes several key players who have a significant impact on market dynamics. Major companies operating in this market include:

1. Microsoft
2. IBM Corporation
3. AgEagle Aerial Systems Inc.
4. Deere & Company
5. Descartes Labs, Inc.
6. Prospera Technologies
7. GAMAYA
8. Taranis
9. ec2ce
10. PrecisionHawk
11. Tule Technologies Inc.
12. Cainthus.
13. Others

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AI in Agriculture Market Segmentation

The comprehensive AI in Agriculture market analysis has been divided into categories such as category, application, and delivery mode, with each subset examined according to geographical segmentation. This research will keep marketers updated and assist in pinpointing target demographics for a product or service, including insights into market share.

1. By Component
   1. Hardware
   2. Software
   3. Services
2. By Technology
   1. Machine Learning & Deep Learning
   2. Predictive Analytics
   3. Computer Vision
3. By Application
   1. Precision Farming
   2. Drone Analytics
   3. Agriculture Robots
   4. Livestock Monitoring
   5. Others

You can check In-depth Segmentation from here: https://straitsresearch.com/report/ai-in-agriculture-market/segmentation

Regional Analysis

The AI in Agriculture market is studied, and market size insights and trends are offered by nation, kind, form, and application, as previously said. The report's regional analysis section provides a thorough study of many regional and national industries to help players establish successful development strategies.

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Key Highlights

• The purpose of this study is to examine the manufacturers of AI in Agriculture, including profiles, primary business activities, news, sales and price, revenue, and market share.
• It illustrates the market subdivided by type and application, with details on sales, price, revenue, market share, and growth rate broken down by type and application.
• The research covers key regions by manufacturers, categories, and applications, including North America, Europe, Asia Pacific, the Middle East, and South America, with sales, revenue, and market share segmented by manufacturers, types, and applications.
• It also investigates production costs, essential raw materials, and production methods.

Principal Motives Behind the Purchase:

• To gain deep analyses of the industry and understand the commercial landscape of the global market.
• To analyze production processes, key problems, and potential solutions to mitigate future issues.
• To understand the most influential driving and restraining factors in the AI in Agriculture industry and their global market impact.
• To gain insights into the market strategies employed by the most successful firms.
• To understand the market's future and potential.

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