Global AI in Agriculture Market, By Offering (Hardware, Software, Service, AI-As-A-Service), Technology (Predictive Analytics, Machine Learning, Computer Vision), Application (Livestock Monitoring, Precision Farming, Agriculture Robots, Livestock Monitoring, Drone Analytics), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa) Industry Trends and Forecast to 2027
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.
In agriculture, Artificial 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.
This AI in agriculture market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on Data Bridge Market Research AI in agriculture market contact us for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Global AI in Agriculture Market Scope and Market Size
AI in agriculture market is segmented on the basis of offering, technology and application. The growth among segments helps you analyse niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.
- 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.
AI in Agriculture Market Country Level Analysis
AI in agriculture market is analysed and market size, volume information is provided by country, offering, technology and application as referenced above.
The countries covered in the AI in agriculture market report are the U.S., Canada and Mexico in North America, Brazil, Argentina and Rest of South America as part of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA).
It is estimated that Europe accounts for the highest demand growth since its farmers control nearly half of the land area for agriculture and it makes Europe's dominant industry. The trend in observing and reporting utensils for indoor and outdoor farms, and providing a simulation of the farmers' intact production using computer vision and AI, is growing the agricultural AI sector.
The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Competitive Landscape and AI in Agriculture Market Share Analysis
AI in agriculture market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, regional presence, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to AI in agriculture market.
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.
Customization Available : Global AI in Agriculture Market
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