The Europe Artificial Intelligence in Agriculture Market should witness market growth of 23.3% CAGR during the forecast period (2022-2028).
One of the most important requirements is the continued use of advanced technical solutions to increase agricultural efficiency. While AI has numerous immediate applications in various industries, such as farming, it will also improve crop quality and speed up the time it takes to get commodities to market. Drones equipped with thermal, multispectral, or hyperspectral sensors can identify areas that require adjustments to their watering schedules.
After crops have grown, these sensors may use their heat signature to produce the vegetation index, an AI-based measure of the crop's health. Despite being unpopular, chemical spraying is an essential part of industrial agriculture. Luckily, sophisticated farming drones are reducing their detrimental effects on the environment. Sprayers and other specialized UAV (Unmanned Aerial Vehicle) technology, such as lasers and ultrasonic echoing devices, can measure the distance accurately. As an outcome, the overall volume of spray and pollutants in the groundwater is significantly reduced.
About half of Europe's land is managed by farmers, making agriculture Europe's largest industry. Trends in monitoring and reporting systems for indoor and outdoor farms, as well as the visualization of a farmer's complete production utilizing computer vision and AI, are expanding the market for artificial intelligencein agriculture. For example, in several European countries, AI is used to cultivate row crops, and due to the robot's accuracy in weeding row crops,less pesticide is used. Internet of the Soil is a software and hardware system for monitoring soil parameters in European nations, including humidity, temperature, and electrical conductivity. Its sensors wirelessly connect to a cloud-based platform that may be viewed by any internet-capable device. These elements would support the growth of the regional market.
The Germany market dominated the Europe Artificial Intelligence in Agriculture Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $310.6 million by 2028. The UK market is estimated to grow a CAGR of 22.3% during (2022-2028). Additionally, The France market would experience a CAGR of 24.2% during (2022-2028).
Based on Technology, the market is segmented into Machine Learning, Computer Vision and Predictive Analytics. Based on Application, the market is segmented into Drone Analytics, Precision Farming, Agricultural Robots, Labor Management, Livestock Monitoring and Others. Based on Offering, the market is segmented into Software, Hardware, AI-as-a-Service and Service. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Deere & Company, IBM Corporation, Microsoft Corporation, Climate LLC (Bayer AG), Farmers Edge Inc, AgEagle Aerial Systems, Inc., Prospera Technologies, Inc. (Valmont Industries, Inc.), A.A.A Taranis Visual Ltd., CropIn Technology Solutions Private Limited, and Corteva, Inc. (Dow AgroSciences LLC).
One of the most important requirements is the continued use of advanced technical solutions to increase agricultural efficiency. While AI has numerous immediate applications in various industries, such as farming, it will also improve crop quality and speed up the time it takes to get commodities to market. Drones equipped with thermal, multispectral, or hyperspectral sensors can identify areas that require adjustments to their watering schedules.
After crops have grown, these sensors may use their heat signature to produce the vegetation index, an AI-based measure of the crop's health. Despite being unpopular, chemical spraying is an essential part of industrial agriculture. Luckily, sophisticated farming drones are reducing their detrimental effects on the environment. Sprayers and other specialized UAV (Unmanned Aerial Vehicle) technology, such as lasers and ultrasonic echoing devices, can measure the distance accurately. As an outcome, the overall volume of spray and pollutants in the groundwater is significantly reduced.
About half of Europe's land is managed by farmers, making agriculture Europe's largest industry. Trends in monitoring and reporting systems for indoor and outdoor farms, as well as the visualization of a farmer's complete production utilizing computer vision and AI, are expanding the market for artificial intelligencein agriculture. For example, in several European countries, AI is used to cultivate row crops, and due to the robot's accuracy in weeding row crops,less pesticide is used. Internet of the Soil is a software and hardware system for monitoring soil parameters in European nations, including humidity, temperature, and electrical conductivity. Its sensors wirelessly connect to a cloud-based platform that may be viewed by any internet-capable device. These elements would support the growth of the regional market.
The Germany market dominated the Europe Artificial Intelligence in Agriculture Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $310.6 million by 2028. The UK market is estimated to grow a CAGR of 22.3% during (2022-2028). Additionally, The France market would experience a CAGR of 24.2% during (2022-2028).
Based on Technology, the market is segmented into Machine Learning, Computer Vision and Predictive Analytics. Based on Application, the market is segmented into Drone Analytics, Precision Farming, Agricultural Robots, Labor Management, Livestock Monitoring and Others. Based on Offering, the market is segmented into Software, Hardware, AI-as-a-Service and Service. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Deere & Company, IBM Corporation, Microsoft Corporation, Climate LLC (Bayer AG), Farmers Edge Inc, AgEagle Aerial Systems, Inc., Prospera Technologies, Inc. (Valmont Industries, Inc.), A.A.A Taranis Visual Ltd., CropIn Technology Solutions Private Limited, and Corteva, Inc. (Dow AgroSciences LLC).
Scope of the Study
By Technology
- Machine Learning
- Computer Vision
- Predictive Analytics
By Application
- Drone Analytics
- Precision Farming
- Agricultural Robots
- Labor Management
- Livestock Monitoring
- Others
By Offering
- Software
- Hardware
- AI-as-a-Service
- Service
By Country
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
Key Market Players
List of Companies Profiled in the Report:
- Deere & Company
- IBM Corporation
- Microsoft Corporation
- Climate LLC (Bayer AG)
- Farmers Edge Inc
- AgEagle Aerial Systems, Inc.
- Prospera Technologies, Inc. (Valmont Industries, Inc.)
- A.A.A Taranis Visual Ltd.
- CropIn Technology Solutions Private Limited
- Corteva, Inc. (Dow AgroSciences LLC)
Unique Offerings
- Exhaustive coverage
- The highest number of Market tables and figures
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- Assured post sales research support with 10% customization free
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market Overview
Chapter 3. Competition Analysis - Global
Chapter 4. Europe Artificial Intelligence in Agriculture Market by Technology
Chapter 5. Europe Artificial Intelligence in Agriculture Market by Application
Chapter 6. Europe Artificial Intelligence in Agriculture Market by Offering
Chapter 7. Europe Artificial Intelligence in Agriculture Market by Country
Chapter 8. Company Profiles
Companies Mentioned
- Deere & Company
- IBM Corporation
- Microsoft Corporation
- Climate LLC (Bayer AG)
- Farmers Edge Inc
- AgEagle Aerial Systems, Inc.
- Prospera Technologies, Inc. (Valmont Industries, Inc.)
- A.A.A Taranis Visual Ltd.
- CropIn Technology Solutions Private Limited
- Corteva, Inc. (Dow AgroSciences LLC)
Methodology
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About the Agriculture AI Market
The Agriculture AI market is a rapidly growing sector of the agriculture industry, focused on the use of artificial intelligence (AI) to improve the efficiency and productivity of agricultural operations. AI-based solutions are used to automate processes, optimize crop yields, and reduce costs. AI-based solutions can also be used to monitor and analyze crop health, soil conditions, and weather patterns, allowing farmers to make informed decisions about their crops. Additionally, AI-based solutions Read more
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