AI in Artificial Market Intelligence has numerous applications, ranging from rural automatons, facial recognition, computerised water system systems, and driverless tractors. These applications are performed in relation to an alternative kind of AI-dependent sensors, GPS systems, radars, and other cutting-edge contraptions.
Increasing adoption of new advanced technologies and IMS, increasing demand for agricultural production and government initiatives for adopting modern agricultural techniques are the factors driving the growth of the AI in agriculture market. Increasing usage of drones in agricultural farms acts as an opportunity. High cost imposed on precise field data collection is restraining the AI in agriculture market. Lack of standardization is one of the challenges faced by the AI in agriculture market.
AI in agriculture market is expected to grow at a CAGR of 28.05% in the forecast period of 2020 to 2027. Data Bridge Market Research report on AI in agriculture market provides analysis and insights regarding the various factors expected to be prevalent throughout the forecasted period while providing their impacts on the market’s growth.
This AI in Agriculture Market research report intensely analyses the potential of the market with respect to current scenario and the future prospects by considering several industry aspects of Cardinal Health industry. The report also recognizes and analyses the rising trends along with major drivers, challenges and opportunities in the market. This AI in Agriculture Market report provides major statistics on the market status of global and regional manufacturers and is a helpful source of assistance and direction for companies and individuals interested in Healthcare industry. The company profiles of all the chief and dominating market players and brands who are taking steps such as product launches, joint ventures, mergers and acquisitions are mentioned in the report.
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Market Drivers and Restraints:
On the basis of offering, the 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 AI in agriculture market is segmented into predictive analytics, machine learning and computer vision.
On the basis of application, the 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.
The major players covered in the AI in Agriculture Market Forecasted
The major players covered in the AI in agriculture market report are IBM Corporation, Microsoft, 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 other domestic and global players. Market share data is available for global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.
Major TOC Of The Report Global AI in Agriculture Market Forecasted
Chapter One: AI in Agriculture Market Forecasted Overview
Chapter Two: Manufacturers Profiles
Chapter Three: Global AI in Agriculture Market Forecasted Competition, by Players
Chapter Four: Global AI in Agriculture Market Forecasted Size by Regions
Chapter Five: AI in Agriculture Market Forecasted Revenue by Countries
Chapter Six: AI in Agriculture Market Forecasted Revenue by Countries
Chapter Seven: AI in Agriculture Market Forecasted Revenue by Countries
Chapter Eight: AI in Agriculture Market Forecasted Revenue by Countries
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Key Report Highlights
Comprehensive pricing analysis based on different product types and regional segments
Market size data in terms of revenue and sales volume
Deep insights about regulatory and investment scenarios of the global AI in Agriculture Market Forecasted
Analysis of market effect factors and their impact on the forecast and outlook of the global AI in Agriculture Market Forecasted
The detailed assessment of the vendor landscape and leading companies to help understand the level of competition in the global AI in Agriculture Market Forecasted
A roadmap of growth opportunities available in the global AI in Agriculture Market Forecasted with the identification of key factors
The exhaustive analysis of various trends of the global AI in Agriculture Market Forecasted to help identify market developments
Key Questions Answered in Report:
What is the key to the AI in Agriculture Market Forecasted?
What will the AI in Agriculture Market Forecasted Demand and what will be Growth?
What are the latest opportunities for AI in Agriculture Market Forecasted in the future?
What are the strengths of the key players?
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