AI in Agriculture Market Technology and SWOT Analysis | Prospera, Mavrx Inc., Cropx, Harvest Croo, Farmbot, Trace Genomics, Spensa Technologies Inc., Resson, Vision Robotics

The study conducted in Global AI in Agriculture Market report spans heterogeneous markets in accord with the requirement of Semiconductors and Electronics industry and scoop out the best possible solutions and meticulous information about the market trends. Granular market information assembled in this AI in Agriculture Market report will be helpful to Semiconductors and Electronics industry to take competent business decisions. The AI in Agriculture Market report also puts a light on growth opportunity assessment (GOA), customer insights (CI), competitive business intelligence (CBI), and distribution channel assessment (DCA). AI in Agriculture Market report also provides CAGR value fluctuation in percentage during the forecast period of 2018-2025 for the market. This Global AI in Agriculture Market report also provides the market insights into revenue generation and sustainability initiative.

Global AI in Agriculture Market By Offering (Hardware, Software, Service, AI-As-A-Service), By Technology (Predictive Analytics, Machine Learning, Computer Vision), By Application (Livestock Monitoring, Precision Farming, Agriculture Robots, Livestock Monitoring, Drone Analytics), By Geography (North America, Europe, Asia-Pacific, Europe, South America, Middle East and Africa) Industry Trends and Forecast to 2025

The Global AI in Agriculture Market accounted for USD 432.5 million in 2017 and is projected to grow at a CAGR of 22.7% during the forecast period of 2018 to 2025.

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Some of the major players in global AI in agriculture market are IBM, Microsoft Corporation, Descartes Labs, Deere & Company, Granular, aWhere, The Climate Corporation¸ Agribotix LLC, Tule Technologies, Prospera, Mavrx Inc., Cropx, Harvest Croo, Farmbot, Trace Genomics, Spensa Technologies Inc., Resson, Vision Robotics and Autonomous Tractor Corporation among others.

Market Definition:

Artificial Intelligence (AI) in agriculture is utilization of cognitive technologies that helps in learning, reasoning, understanding and interacting, which in result increases the efficiency. It offers various advantages such as Image recognition and insight, chatbots for farmers, help IoT achieve its maximum potential and determine the best options to maximize return on crops.

Major Market Drivers:

Increasing adoption of new advanced technologies and IMS

Rising demand for agricultural production

Government support and initiatives for the adoption of modern agricultural techniques

Maximizing crop productivity along with the implementation of various techniques

Increasing use of drones in agricultural farms

Market Restraint:

High Cost involved during precise field data collection.

Market Segmentation: Global AI in Agriculture Market

On the basis of offering, the global AI in agriculture market is segmented into hardware, software, service, AI-As-A-Service.

On the basis of technology, the global AI in agriculture market is segmented into predictive analytics, machine learning and computer vision.

On the basis of application, the global AI in agriculture market is segmented into livestock monitoring, precision farming, agriculture robots, livestock monitoring, drone analytics and others.

On the basis of geography, the global AI in agriculture market report covers data points for 28 countries across multiple geographies such as North America, South America, Europe, Asia-Pacific and Middle East & Africa. Some of the major countries covered in this report are U.S., Canada, Germany, France, U.K., Netherlands, Switzerland, Turkey, Russia, China, India, South Korea, Japan, Australia, Singapore, Saudi Arabia, South Africa, and Brazil among others.

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Competitive Landscape: Global AI in Agriculture Market

The global AI in agriculture market is consolidated due to the presence of limited number of players concentrated in few countries. These major players have adopted various organic as well as inorganic growth strategies such as mergers & acquisitions, new product launches, expansions, agreements, joint ventures, partnerships, and others to strengthen their position in this market.

Table Of Content: Global AI in Agriculture Market

Part 01: Executive Summary

Part 02: Scope of The Report

Part 03: Global AI in Agriculture Market Landscape

Part 04: Global AI in Agriculture Market Sizing

Part 05: Global AI in Agriculture Market Segmentation By Product

Part 06: Five Forces Analysis

Part 07: Customer Landscape

Part 08: Geographic Landscape

Part 09: Decision Framework

Part 10: Drivers and Challenges

Part 11: Market Trends

Part 12: Vendor Landscape

Part 13: Vendor Analysis

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