“AI in Agriculture Market ” the new research report adds in Data Bridge Market Research’s reports database. The sources of data and information mentioned in the AI in Agriculture report are very reliable and include websites, annual reports of the companies, journals, and mergers which are checked and validated by the market experts.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% forecast to 2025.
The impact of the pandemic on these aspects has been explained in the report. The AI in Agriculture report also covers and conducts the interviews and analyses the growth of the market for the estimated growth of the market. Moreover, the impact of COVID-19 in the upcoming years has also been covered in the research study.
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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
- High Cost involved during precise field data collection.
Following Top Key Players are profiled with global positioning:
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.
**Strategies of key players and product offerings
**Potential and niche segments/regions exhibiting promising growth
**A neutral perspective towards market performance
**Must-have information for market players to sustain and enhance their market footprint
Global AI in Agriculture Market: Competitive Rivalry
Analysts have also discussed the nature of the competition present in the global AI in Agriculture market. Companies have been discussed at great length to ascertain the leading ones and note the emerging ones. The report also mentions the strategic initiatives taken by these companies to get ahead of the game. Analysts look at potential mergers and acquisitions that are likely to define the progress of the market in the coming years.
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- Our report educates you on the current as well as the future challenges of the AI in Agriculture market and helps in crafting unique solutions to maximize your growth potential.
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**Aiding in the business planning process
**Serving as a credible, independent check on company internal forecasts
**Supporting acquisition strategies
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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) Industry Trends and Forecast to 2025
Regional Analysis for Global AI in Agriculture Market:
North America (the United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, and Italy)
Asia-Pacific (China, Japan, Korea, India, and Southeast Asia)
South America (Brazil, Argentina, Colombia, etc)
The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, and South Africa)
|Market Size 2019||XX Million|
|Market Size 2024||XX Million|
|CAGR 2020-2027||XX %|
|Market representation||Revenue in USD Million & CAGR from 2020 – 2027|
|Report coverage||Revenue forecast, company share, competitive landscape, growth factors, and trends|
Some of the Major Highlights of TOC covers:
- Development Trend of Analysis of AI in Agriculture Market
- Global AI in Agriculture Market Trend Analysis
- Global AI in Agriculture Market Size (Volume and Value) Forecast
- Marketing Channel
- Direct Marketing
- Indirect Marketing
- AI in Agriculture Customers
- Market Dynamics
- Market Trends
- Market Drivers
- Influence Factors
- Methodology/Research Approach
- Research Programs/Design
- Market Size Estimation
- Market Breakdown and Data Triangulation
- Data Source
The AI in Agriculture market report provides the following information:
**Region-wise, how will different segments behave in terms of opportunities, threats, and growth potential?
**Segments which will contribute notably to growth in Aerospace Fastener market, information on emerging opportunities
**Prominent trends and drivers and how will they contribute to market growth over the forecast period
**Players and products who would command a sizeable share of the market
AI in Agriculture Market Important Factors:
Market Environment: Government Policies, Technological Changes, Market Risks.
Market Drivers: Growing Demand, Reduction in Cost, Market Opportunities and Challenges.
Industry Trends: United States and Other Regions Revenue, Status and Outlook.
Competitive Landscape: By Manufacturers, Development Trends, and Marketing Area
Product Revenue for Top Players: Market Share, Growth Rate, Current Market Situation Analysis.
Market Segment: By Types, By Applications, By Regions/ Geography.
Sales Revenue: Market Share, Growth Rate, Current Market Analysis.
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