Global Artificial Intelligence In Agriculture Market Size, Share, Trend, and Forecast 2022 – 2032
The Global Artificial Intelligence In Agriculture Market size is to grow from USD 1.05 Billion in 2022 to USD 5.27 Billion by 2032, at a Compound Annual Growth Rate (CAGR) of 17.5% during the forecast period.
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Increasing productivity and sustainability, artificial intelligence (AI) is revolutionising agriculture. AI helps farmers make data-driven decisions through robotics, computer vision, and machine learning. Using satellite imagery, meteorological data, and sensors, it helps with crop monitoring, disease detection, and yield prediction. AI reduces resource waste and environmental impact by optimising farming practices through precision agriculture techniques. Automation of labor-intensive tasks such as planting and harvesting is made possible by AI-equipped robots and drones. AI also makes supply chain optimisation, market forecasting, and farm management easier. AI integration in agriculture has the potential to significantly increase food production that is both sustainable and efficient with further advancements.
Over the course of the forecast period, the precision farming segment is anticipated to grow at a CAGR of about 18.7%.The global artificial intelligence market for agriculture is divided into segments based on application, including labour management, drone analytics, agriculture robots, precision farming, and livestock monitoring. Within the artificial intelligence in agriculture market, the precision farming segment is anticipated to grow at a substantial rate during the forecast period. Numerous factors contribute to this growth. Through the precise application of interventions, farmers can maximise their use of resources, such as water, fertiliser, and pesticides, thanks to precision farming techniques powered by AI. Real-time monitoring of crop health, soil conditions, and weather patterns is made possible by AI-based technologies like machine learning and satellite imagery. This empowers farmers to make data-driven decisions for targeted interventions.
Throughout the projection period, the computer vision market is anticipated to expand at a CAGR of about 19.1%.Machine learning, computer vision, and predictive analytics comprise the three segments of the global artificial intelligence market for agriculture, based on technology. Within the artificial intelligence in agriculture market, it is projected that the computer vision segment will grow significantly during the forecast period. Numerous factors are responsible for this growth. Tasks like crop monitoring, disease detection, and weed identification are made easier by computer vision technology, which allows the analysis and interpretation of visual data taken from drones, satellites, or cameras. Computer vision systems are now able to precisely recognise and analyse different objects and patterns in agricultural images thanks to developments in AI algorithms and deep learning techniques.
List of Key Companies
- Deere & Company
- IBM Corporation
- Microsoft Corporation
- Google LLC
- The Climate Corporation
- Farmers Edge Inc.
- Granular Inc.
- AgEagle Aerial Systems Inc.
- Descartes Labs, Inc.
- Raven Industries Inc.
- AGCO Corporation
- Gamaya SA
- Bayer AG
Market segmentation:
By Technology
- Machine Learning
- Computer Vision
- Predictive Analytics
By Offering
- Hardware
- Software
- AI-as-a-Service
- Service
Competitive analysis:
The competitive analysis section of the Global Artificial Intelligence In Agriculture Market Research Report provides a detailed study of the competitive landscape within the market. It aims to identify and assess key market players, their strategies, and their impact on overall market dynamics. Each company’s profile provides insight into its business profile, product portfolio, geographic presence, and recent developments. This information helps stakeholders gain a comprehensive understanding of market participants and their capabilities.
In addition, competitive analysis examines the market share held by each major player and assesses their position within the market. Assessing relative market strength considers factors such as revenue, market capitalization, and market share growth over time. By understanding the distribution of market shares, industry participants can identify key players and their market power.
Browse key industry insights spread across 200 pages with 120 Market data tables and figures & charts from the report on “Global Artificial Intelligence In Agriculture Market Size, Share, and COVID-19 Impact Analysis, By Technology (Machine Learning, Computer Vision, and Predictive Analytics), By Offering (Hardware, Software, AI-as-a-Service, and Service), By Application (Precision Farming, Agriculture Robots, Livestock Monitoring, Drone Analytics, Labor Management, and Others), By Region (North America, Europe, Asia-Pacific, Latin America, Middle East, and Africa), Analysis and Forecast 2023 – 2032.”
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The Global Artificial Intelligence In Agriculture Market Report aims to answer the following key questions:
- What are the main products and services offered in the market, and how are they evolving to meet changing consumer demands?
- What are the key technological advances and innovations impacting the market, and how will they affect the competitive landscape?
- What are the key distribution channels and marketing strategies market players employ to effectively reach their target audience?
- What are the price trends in the market, and how do prices change across different product segments and geographies?
- How will changing demographic patterns, such as age groups and income levels, affect consumer behaviour and market demand?
- What are the key cost factors and factors that influence the profitability of companies in the Global Artificial Intelligence In Agriculture Market?
- How will sustainability and environmental considerations affect consumer preferences and market growth in this sector?
- What are the investment opportunities and challenges for new entrants and investors looking to enter the market?
- How do government policies and regulations impact market dynamics and shape industry strategies?
- What are the current supply chain trends and challenges in the market, and how do they affect product availability and pricing?
- What are the levels of customer satisfaction and loyalty within the market, and how do market participants differentiate in terms of service quality?
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