Press release
AI in Agriculture Market Insight, Research Report 2019 With Key Competitors IBM, Microsoft Corporation, Descartes Labs, Deere & Company, Granular, The Climate Corporation, Prospera Technologies, CropX Technologies LTD, Trace Genomics, Resson
Global AI in Agriculture Market
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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 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) and Forecast to 2025
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.
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
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.
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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
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.
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About Us
Data Bridge set forth itself as an unconventional and neoteric Market research and consulting firm with an 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.
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