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AI in Agriculture Market 2018 Global Key Players Study: IBM, Microsoft Corporation, Descartes Labs, Deere & Company, Granular, aWhere, The Climate Corporation¸ Agribotix LLC, Tule Technologies, Prospera, Mavrx Inc., Cropx, Harvest Croo, Farmbot, Trace Ge

AI in Agriculture Market

AI in Agriculture Market

CAGR values are jumping for the good in the AI in Agriculture Market which in turn is making the sales, import, export and revenue grow. The report provides with a thorough analysis on what the conditions are for the Semiconductors and Electronics industry because of the AI in Agriculture Market.

The report is also a detailed analysis on what the market definition, classifications, applications and market trends are along with these it also provides with the market’s drivers and restrains by using the help of SWOT analysis.

The AI in Agriculture Market is highly dependent on the top players and brands this report provides with detailed company profiles of those players and brands and showing what their moves are when it comes to developments, product launches, joint ventures, merges and accusations, all the while also providing with figures for the forecast years of 2018-2025.

Get Sample Copy of this Report @ https://databridgemarketresearch.com/request-a-sample/?dbmr=global-ai-agriculture-market

Major Market Competitors:

• 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

TABLE OF CONTENTS

PART 01: EXECUTIVE SUMMARY

PART 02: SCOPE OF THE REPORT

PART 03: RESEARCH METHODOLOGY

PART 04: MARKET LANDSCAPE

• Market ecosystem
• Market characteristics
• Market segmentation analysis

PART 05: PIPELINE ANALYSIS

• Pipeline analysis

PART 06: MARKET SIZING

• Market definition
• Market sizing
• Market size and forecast

PART 07: FIVE FORCES ANALYSIS

• Bargaining power of buyers
• Bargaining power of suppliers
• Threat of new entrants
• Threat of substitutes
• Threat of rivalry
• Market condition

PART 08: MARKET SEGMENTATION

• Segmentation
• Comparison
• Market opportunity

PART 09: CUSTOMER LANDSCAPE

PART 10: REGIONAL LANDSCAPE

• Geographical segmentation
• Regional comparison
• North America
• South America
• Europe
• MEA
• APAC
• Market opportunity

PART 11: DECISION FRAMEWORK

PART 12: DRIVERS AND CHALLENGES

• Market drivers
• Market challenges

PART 13: MARKET TRENDS

PART 14: VENDOR LANDSCAPE

• Overview
• Landscape disruption

PART 15: VENDOR ANALYSIS

• Vendors covered
• Vendor classification
• Market positioning of vendors

PART 16: APPENDIX

• List of abbreviations

See the complete table of contents and list of exhibits, as well as selected illustrations and example pages from this report.

Access Detailed TOC @ https://databridgemarketresearch.com/toc/?dbmr=global-ai-agriculture-market

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.

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. Hardware is sub segmented into network, storage device and processor. Software is sub segmented into AI Platform and AI Solution. Service is sub segmented into support and maintenance and deployment and integration.

• 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. Precision farming is sub segmented into yield monitoring, crop scouting, weather tracking and forecasting, field mapping and irrigation management. Others are sub segmented into smart greenhouse applications, fish farming application and soil management. Soil Management is further sub segmented into nutrient monitoring and moisture monitoring.

• 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.

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

Make an Inquiry for Purchasing this Report @ https://databridgemarketresearch.com/inquire-before-buying/?dbmr=global-ai-agriculture-market

About Data Bridge Market Research:

Data Bridge Market Research set forth itself as an unconventional and neoteric Market research and consulting firm with unparalleled level of resilience and integrated approaches. We are determined to unearth the best market opportunities and foster efficient information for your business to thrive in the market. Data Bridge endeavors to provide appropriate solutions to the complex business challenges and initiates an effortless decision-making process.

Contact:

Data Bridge Market Research
Tel: +1-888-387-2818
Email: sopan.gedam@databridgemarketresearch.com

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