Artificial Intelligence (AI) in Agriculture Market Size to Grow USD 1695.5 Million by 2029 at a CAGR of 16.4% | Valuates Reports
The global Artificial Intelligence (AI) in Agriculture market was valued at USD 681.7 million in 2022 and is anticipated to reach USD 1695.5 million by 2029, witnessing a CAGR of 16.4% during the forecast period 2023-2029.
BANGALORE, India, Oct. 19, 2023 /PRNewswire/ -- The Artificial Intelligence (AI) in Agriculture Market is Segmented by Type (Machine Learning, Computer Vision, Predictive Analytics), by Application (Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Others): Global Opportunity Analysis and Industry Forecast, 2023-2029.
The global Artificial Intelligence (AI) in Agriculture market was valued at USD 681.7 million in 2022 and is anticipated to reach USD 1695.5 million by 2029, witnessing a CAGR of 16.4% during the forecast period 2023-2029.
Major Factors Driving the Growth of AI In Agriculture Market
Agriculture and Artificial Intelligence (AI) The increasing use of robots in agriculture is driving market size. One of the main elements driving the need for robots in agriculture is said to be increased crop output requirements and expanding consumption.
Growing consumer demand pushes farmers to expand their operations, which in turn creates a need for automation. Drones and robots are becoming an essential aspect of agricultural fields as farmers move further towards automation. They are increasing production and improving the quality of the products. Since artificial intelligence (AI) is the foundation of robotics, the growing use of robots in agriculture is expected to propel the growth of AI in the agriculture market.
Get Free Sample:
TRENDS INFLUENCING THE GROWTH OF AI IN AGRICULTURE MARKET
By combining smart technologies like AI, Big Data, Cloud, IoT, and Machine Learning, we may envisage AI turning rural farmlands into smart linked farms, or what we term Precision Agriculture. Its uses are numerous, ranging from tracking the ripening cycles of apples or tomatoes to automatically identifying patterns of drought to the development of intelligent tractors that remove unhealthy and diseased plants. Even today, drones are widely utilized in agriculture for a variety of purposes, including monitoring soil moisture, detecting production issues, safety, rescue, and research analysis. This factor is expected to drive the growth of AI in the Agriculture market.
In addition to helping supply micro and macronutrients and checking physical attributes like moisture and chemical values, these intelligent drones can also locate and accurately spray pesticides on damaged plants from across large farmlands. They can even balance pH levels by injecting lime. A machine learning application combined with precision agriculture makes it easier to detect the match case. It can identify the illness that has damaged a plant, compare it to a catalog of images of that disease, provide corrective actions, and more. This factor is expected to drive the growth of AI in the Agriculture market.
Those who prioritize their farms and integrate AI technology into their farming operations will definitely have a big edge. Large agricultural farms are used as staging locations for multiple data points, and precise and pertinent information is gathered from these data points as well as from a variety of edge devices, such as drones, sensors, smart cameras, etc., powered by intelligent monitoring and analytics systems, which ultimately assist in giving farmers smart information. This factor is expected to drive the growth of AI in the Agriculture market.
The process of integrating AI in livestock health monitoring begins with setting up the required cameras and sensors in the living quarters of the animals. These pieces of equipment are used to gather information about the animals, including behavior, body temperature, and heart rate. Drones can monitor farms on a regular basis since they can fly over them independently and without interruption. Artificial Intelligence has the capability to autonomously detect certain plant illnesses, nutritional deficits, or stressors, allowing professionals to administer targeted treatments only when required. This automatic monitoring minimizes waste, lowers the need for chemicals, and encourages the use of sustainable agricultural methods. This factor is expected to drive the growth of AI in the Agriculture market.
As the world's food need rises, creative ways to improve agricultural operations are coming to light. The new, high-tech workforce in agriculture is here: robots. These adaptable devices are capable of doing a variety of jobs, including soil analysis, insect management, and planting and watering. Farmers can profit from lower labor costs, more production, and less need for hazardous chemicals by automating these procedures. Moreover, it is evident that the future of farming will revolve around farming more intelligently given the added benefit of gathering insightful data to optimize crop yields and resource management. This factor is expected to drive the growth of AI in the Agriculture market.
View Full Report:
AI IN AGRICULTURE MARKET SHARE ANALYSIS
The market for artificial intelligence in agriculture is dominated by the North American continent, especially the US. Growing disposable income and continuous investment for tech businesses are its defining characteristics, which support the expansion of this sector.
Get Regional Report:
Key Companies:
- IBM
- Intel
- Microsoft
- SAP
- Agribotix
- The Climate Corporation
- Mavrx
- aWhere
- Precision Hawk
- Granular
- Prospera Technologies
- Spensa Technologies
- Resson
- Vision Robotics
- Harvest Croo Robotics
- CropX
- John Deere
- Gamaya
- Cainthus
Buy Now for Single User + Covid-19 Impact https://reports.valuates.com/api/directpaytoken?rcode=QYRE-Auto-23T8867&lic=single-user
SUBSCRIPTION
We have introduced a tailor-made subscription for our customers. Please leave a note in the Comment Section to know about our subscription plans.
SIMILAR REPORTS
- Artificial Intelligence (AI) Tools Market
- The global AI In Computer Vision market size is projected to reach USD 43640 million by 2028, from USD 8624.9 million in 2021, at a CAGR of 25.5% during 2022-2028.
- Artificial Intelligence (AI) Accelerator Market
- AIoT Application Computing All-in-One Computer Market
- The global AI Infrastructure market size is estimated to be worth USD 22.6 Billion in 2021 with a CAGR of 24.6% & will reach 105.4 Billion USD by 2028 during the review period.
- Autonomous Agriculture Robots and AI Market
- Industrial AI Computers Market
- Artificial Intelligence in Livestock Farming Market
- Agriculture Non-woven Fabric Market
- The global IoT in Agriculture market was valued at USD 21710 million in 2022 and is anticipated to reach USD 52700 million by 2029, witnessing a CAGR of 15.9% during the forecast period 2023-2029.
- The global Agricultural Machinery market size is projected to reach USD 213610 Million by 2026, from USD 152660 Million in 2019, at a CAGR of 4.9% during 2021-2026.
- The global smart agriculture market size was valued at USD 16,746.7 million in 2019, and is estimated to reach D29,234.6 million by 2027 with a CAGR of 9.7% from 2021 to 2027.
- The global smart irrigation market size was valued at USD 1.44 Billion in 2020, and is projected to reach USD 5.57 Billion by 2030, growing at a CAGR of 13.9% from 2021 to 2030.
- The global Biostimulants market size is estimated to be worth USD 147.2 Million in 2023 and is forecast to a readjusted size of USD 203 Million by 2028 with a CAGR of 5.5% during the review period.
- The global Urea market size is projected to reach USD 67290 million by 2027, from USD 43870 million in 2020, at a CAGR of 2.0% during 2021-2027.
- The global generative ai market size was valued at USD 8.2 Billion in 2021, and is projected to reach USD 126.5 Billion by 2031, growing at a CAGR of 32% from 2022 to 2031.
- Smart Agriculture Livestock Monitoring Market
- Agricultural E-commerce Market
- Agricultural Products E-commerce Trading Platform Market
- Agriculture Drone Mapping and Analytics Market
- The global Blockchain In Agriculture And Food Supply Chain market was valued at USD 268.4 million in 2022 and is anticipated to reach USD 1782.9 million by 2029, witnessing a CAGR of 37.1% during the forecast period 2023-2029.
- GNSS RTK Auto-steering System for Agricultural Machinery Market
Click here to see related reports on Artificial Intelligence (AI) in Agriculture Market
ABOUT US:
Valuates offers in-depth market insights into various industries. Our extensive report repository is constantly updated to meet your changing industry analysis needs.
Our team of market analysts can help you select the best report covering your industry. We understand your niche region-specific requirements and that's why we offer customization of reports. With our customization in place, you can request for any particular information from a report that meets your market analysis needs.
To achieve a consistent view of the market, data is gathered from various primary and secondary sources, at each step, data triangulation methodologies are applied to reduce deviance and find a consistent view of the market. Each sample we share contains a detailed research methodology employed to generate the report. Please also reach our sales team to get the complete list of our data sources.
CONTACT US:
Valuates Reports
[email protected]
For U.S. Toll-Free Call 1-(315)-215-3225
For IST Call +91-8040957137
WhatsApp: +91-9945648335
Website: https://reports.valuates.com
Blog: https://valuatestrends.blogspot.com/
Pinterest: https://in.pinterest.com/valuatespins/
Twitter: https://twitter.com/valuatesreports
https://reports.valuates.com/sitemap/html/reports/971
https://reports.valuates.com/sitemap/html/reports/972
https://reports.valuates.com/sitemap/html/reports/973
Logo: https://mma.prnewswire.com/media/1082232/Valuates_Reports_Logo.jpg
View original content:https://www.prnewswire.co.uk/news-releases/artificial-intelligence-ai-in-agriculture-market-size-to-grow-usd--1695-5-million-by-2029-at-a-cagr-of-16-4--valuates-reports-301962190.html
