AI in Agriculture Market: Global Comprehensive Analysis 2025 by Leading Players aWhere, The Climate Corporation¸ Agribotix LLC, Prospera, Mavrx Inc., Cropx, Harvest Croo, Farmbot, Trace Genomics, IBM, Microsoft Corporation, Deere & Company, Granular

AI in Agriculture Market report delivers a detailed study with present and upcoming Opportunities to clarify the future investment in the market. This report is a valuable source of guidance for companies and individuals offering Industry Chain Structure, Business Strategies and Proposals for New Project Investments. Reports introduces a top to bottom evaluation of the AI in Agriculture Market including empowering technologies, key trends, market drivers, challenges, standardization, regulatory landscape, opportunities, future guide, value chain, ecosystem player profiles and strategies. The report also studies the various inhibitors as well as motivators of the AI in Agriculture Market in both quantitative and qualitative manners in order to provide accurate information to the readers.

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Focusing points in the report

1. Key trends in the market place
2. Major players and brands
3. Drivers and restrains of the market
4. Strategies of key players and product offerings
5. In-depth market segmentation

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.

Report Segmentation:

On the basis of offering:

• Hardware
• Software
• Service
• AI-As-A-Service

Hardware is sub segmented into:

• Network
• Storage Device
• Processor

On the basis of technology:

• Predictive Analytics
• Machine Learning
• Computer Vision

On the basis of application:

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

On the basis of geography:

• North America
• South America
• Europe
• Asia-Pacific
• 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 Analysis:

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.

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
• Autonomous Tractor Corporation
• Among others

Objective of the Report

1. To identify key players operating in the Global AI in Agriculture Market and comprehensively analyze their market rankings and core competencies.
2. To describe major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the Global AI in Agriculture Market.
3. Enhance the decision-making process by understanding the strategies that underpin commercial interest with respect to products, segmentation and industry verticals.
4. To strategically analyze micro markets with respect to individual growth trends, prospects, and contributions to the total market
5. Develop/modify business expansion plans by using substantial growth offering developed and emerging markets.

Market Definition: Global AI in Agriculture Market

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.

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. The upcoming market report contains data for historic years 2014, 2015, the base year of calculation is 2017 and the forecast period is 2018 to 2025.

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