The Global Market for Artificial Intelligence (AI) In Agriculture Was Estimated at USD 2.20 Billion In the Year 2022, Is Projected to Reach A Revised Size of USD 11.01 Billion By 2030, Growing at A CAGR of 22.3% Over the Forecast Period 2023-2030.
In order to improve productivity, sustainability, and efficiency across a range of agricultural operations, artificial intelligence (AI) technologies are being integrated into the market for agriculture. Applications including supply chain optimization, animal management, crop monitoring, and precision farming are included. Drones, sensors, data analytics platforms, and machine learning algorithms are important elements. This market responds to the increasing demand for cutting-edge solutions to problems with resource management, resilience to climate change, and food production. The growing use of smart farming techniques, developments in AI and IoT technology, and government programs encouraging digitalization in agriculture are some of the factors propelling market expansion. Additionally, the advantages of AI in raising crop yields, conserving resources, and streamlining agricultural processes support the growth of the market. But there are obstacles including constraints in infrastructure and worries about data privacy.
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The AI in Agriculture market research study ensures the highest level of accuracy and reliability as we precisely examine the overall industry, covering all the market fundamentals. By leveraging a wide range of primary and secondary sources, we establish a strong foundation for our findings. Industry-standard tools like Porter's Five Forces Analysis, SWOT Analysis, and Price Trend Analysis further enhance the comprehensiveness of our evaluation.
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Top Key Players Covered in The AI In Agriculture Market
Deere & Company (US), IBM Corporation (US), Microsoft Corporation (US), The Climate Corporation (US), Farmers Edge Inc. (Canada), Hewlett Packard Enterprise Development LP (US), Cisco Systems Inc. (US), Google LLC (US), Amazon Web Services Inc (US), Corteva Inc (US), AgEagle Aerial Systems Inc. (US), Descartes Labs Inc. (US) and Other Major Players.
Drivers in the AI in Agriculture Market:
- Population Growth: There is an increasing need to improve agricultural output and efficiency. This is propelling the use of AI technology for smart agriculture and precision farming.
- Climate Change: Traditional farming methods are challenged by climate variability and extreme weather occurrences. Predictive analytics and decision support tools are provided by AI-powered solutions to farmers to assist them in managing resources more efficiently and adjusting to changing environmental conditions.
- Lack of Labor: Automation and mechanization are required in the agricultural sector due to shortages and rising labor costs. Robotic harvesting, automated weeding, and drone-based monitoring are examples of AI technologies that save labor costs and boost productivity.
- Data Availability: The abundance of data sources, including weather reports, satellite photos, and IoT sensors provides vast amounts of agricultural data. AI algorithms can analyze this data to derive actionable insights for optimizing crop yields, resource utilization, and pest management.
Segmentation Analysis of The AI in Agriculture Market
AI in the Agriculture Market segments covers the Type, Technology, Deployment, Application, and end-users. By Application, the Precision Farming segment is Anticipated to Dominate the Market Over the Forecast period.
By Type
- Solution
- Service
By Technology
- Machine Learning
- Computer Vision
- Predictive Analytics
- By Deployment
- Cloud
- On-premise
- Hybrid
By Application
- Weather Tracking
- Precision Farming
- Drone Analytics
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Opportunities in the AI in Agriculture Market:
- Precision Agriculture Solutions: Farmers may optimize inputs, cut waste, and boost productivity by using precision agriculture solutions that combine AI technologies with IoT devices, drones, and machine learning algorithms.
- Farm Management Platforms: There are opportunities to increase farm profitability and streamline agricultural operations by creating AI-powered farm management platforms and decision support systems for crop planning, monitoring, and predictive analytics.
- Supply Chain Optimization: By streamlining logistics, storing, and distributing goods, AI algorithms can minimize post-harvest losses and guarantee the timely delivery of agricultural products to markets.
- Cooperation & Joint Ventures: Working together with technology companies, research organizations, and agribusinesses promotes innovation and technology transfer, which accelerates the creation and uptake of AI solutions suited to the requirements of farmers and agri-enterprises.
By Region
- North America (US, Canada, Mexico)
- Eastern Europe (Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe)
- Western Europe (Germany, UK, France, Netherlands, Italy, Russia, Spain, Rest of Western Europe)
- Asia Pacific (China, India, Japan, South Korea, Malaysia, Thailand, Vietnam, The Philippines, Australia, New Zealand, Rest of APAC)
- Middle East & Africa (Turkey, Bahrain, Kuwait, Saudi Arabia, Qatar, UAE, Israel, South Africa)
- South America (Brazil, Argentina, Rest of SA)
Report includes Competitor's Landscape:
- Major trends and growth projections by region and country
- Key winning strategies followed by the competitors
- Who are the key competitors in this industry?
- What shall be the potential of this industry over the forecast tenure?
- What are the factors propelling the demand for the Action Figures And Statues?
- What are the opportunities that shall aid in significant proliferation of the market growth?
- What are the regional and country wise regulations that shall either hamper or boost the demand for Action Figures And Statues?
- How has the covid-19 impacted the growth of the market?
- Has the supply chain disruption caused changes in the entire value chain?
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