Europe Artificial Intelligence in Agriculture Market Forecast to 2030
Europe Artificial Intelligence in Agriculture Market Forecast to 2030 – Regional Analysis – by Component (Hardware, Software, and Services) and Application (Precision Farming, Drone Analytics, Agriculture Robots, Livestock Monitoring, and Others)
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Description
Growing Government Support for Implementation of AI Solution Drives Europe Artificial Intelligence in Agriculture Market
Governments across the world are transforming the agriculture sector to be more efficient, sustainable, and inclusive to ensure food security. Governments around the world encourage the implementation of Al for agricultural applications in order to provide aid to farmers. In 2023, agrifoodTEF, a German initiative, was announced by the Osnabrück University of Applied Sciences. To apply AI and robots in the agriculture industry, the initiative intends to pool the resources of multiple EU nations, primarily Germany, France, and Italy. As of January 1, 2023, the project has received ~US$ 53.6 million (50 million euros) in funding from the EU. The funds will be used to support specific projects that are meant to work in tandem with one another. A number of supporting nations, including Belgium, Austria, Poland, and Sweden, will each receive five million, while the three main nations—France, Germany, and Italy—will each receive ten million.
Thus, such growing government support and initiatives are propelling the growth of AI in the agriculture market.
Europe Artificial Intelligence in Agriculture Market Overview
The Europe AI in the agriculture market is segmented into Germany, France, Italy, the UK, Russia, and the Rest of Europe. The Europe agriculture market is utilizing AI technologies to improve production and sustainability. This includes the use of Al-driven systems for precision farming, predictive analytics, crop and soil monitoring, and livestock management. Advanced technologies promote resource efficiency, increase crop yields, and reduce environmental impact. Further, food security concerns drive the adoption of AI in Europe agriculture due to population growth and climate change.
Various institutions and research centers are also taking initiatives to promote AI in Agriculture. For example, the agrifoodTEF initiative constitutes three institutions—Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI), Osnabrück University of Applied Sciences, and Agrotech Valley Forum. In February 2023, test settings for AI and agricultural robotics were established in three European nations as part of this program. This will aid the companies and academic institutions throughout Europe to test AI components in prototypes to make them ready for the market in the Osnabrück region of Lower Saxony. With funding of up to US$ 10.8 million, the Osnabrück team specializes in agricultural technology for arable farming.
In 2022, Europe faced a summer drought that was the worst in over 500 years. In many parts of Europe, this was followed by minimal rainfall over the winter, and water availability was pronounced “very precarious” by an Austrian group of scientists, prompting several EU governments to implement national water strategies as soon as possible. Agriculture was one of the sectors most affected, with lower harvests and greater production costs. As a result, prices, quantities, and yield quality are all affected. As a significant contribution to water use—accounting for 24% of water extraction in the EU, the agricultural sector is increasingly looking to technology, powered by data and AI, to reduce its water use and total environmental imprint while providing healthy food to the population in a more sustainable manner.
Various startups across Europe are developing AI technology for agriculture. For example, in February 2023, French startups were likewise at the forefront of developing technology. In February 2023, Dilepix, a spin-off from research at the French Institute for Research in Computer Science and Automation (INRIA), announced that it is developing artificial intelligence systems to monitor cattle, insects, and agricultural machines. Thus, such instances propel the growth of AI in agriculture market.
Europe Artificial Intelligence in Agriculture Market Revenue and Forecast to 2030 (US$ Million)
Europe Artificial Intelligence in Agriculture Market Segmentation
The Europe artificial intelligence in agriculture market is categorized into components, application, and country.
Based on component, the Europe artificial intelligence in agriculture market is categorized into hardware, software, and services. The software segment held the largest market share in 2022.
In terms of application, the Europe artificial intelligence in agriculture market is categorized into precision farming, drone analytics, agriculture robots, livestock monitoring, and others. The precision farming segment held the largest market share in 2022.
By country, the Europe artificial intelligence in agriculture market is segmented into Germany, the UK, France, Italy, Russia, and the Rest of Europe. Germany dominated the Europe artificial intelligence in agriculture market share in 2022.
Deere & Co, International Business Machines Corp, Microsoft Corp, Easytosee Agtech SL, Climate LLC, Gamaya SA, Prospera Technologies Ltd, and Tarani are some of the leading companies operating in the Europe artificial intelligence in agriculture market.
Summary Info
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According to the Research Team’ research, the Europe artificial intelligence in agriculture market was valued at US$ 462.41 million in 2022 and is expected to reach US$ 2,289.39 million by 2030, registering a CAGR of 22.1% from 2022 to 2030. Increasing smart farming and robotics and automation in agriculture are among the critical factors attributed to drive the Europe artificial intelligence in agriculture market growth.
Smart farming is done using equipment that is integrated with advanced sensors and cameras. Smart farming is a management concept that aims to provide the agricultural business with the infrastructure it needs using advanced technologies, such as the cloud, big data, and the IoT, to track, automate, monitor, and analyze activities. It is often known as precision agriculture and is controlled by software and monitored by sensors. Precision agriculture is becoming increasingly important along with the growing global population, and the demand for higher crop yields is increasing along with it. Further the need to use natural resources more efficiently, the increasing use and complexity of information and communication technology, and the rising need for climate-smart agriculture propelling smart farming. The goal of smart farming is to maximize resource efficiency and reduce environmental effects while increasing production quantity and quality through the application of new technologies that have emerged in the fields of agriculture and cattle production with the advent of the Fourth Industrial Revolution.
Various entities are using smart farming to increase their production. For example, in February 2021, AKVA Group entered into a five-year agreement with Trollvika Drift AS for the installation of 45 SmartEye Precision HD cameras with AKVAconnect 4 camera system controls at various locations across Norway. Thus, the increasing use of smart farming is forcing the use of new technologies such as IoT and AI. Thus, the increasing smart farming creates opportunities for AI in the farming market.
On the flip side, shortage of technically skilled labor hampers the growth of Europe artificial intelligence in agriculture market.
Based on component, the Europe artificial intelligence in agriculture market is categorized into hardware, software, and services. The software segment held 63.5% market share in 2022, amassing US$ 293.45 million. It is projected to garner US$ 1,501.48 million by 2030 to register 22.6% CAGR during 2022-2030.
In terms of application, the Europe artificial intelligence in agriculture market is segmented into precision farming, drone analytics, agriculture robots, livestock monitoring, and others. The precision farming segment held 39.8% share of Europe artificial intelligence in agriculture market in 2022, amassing US$ 184.21 million. It is anticipated to garner US$ 886.53 million by 2030 to expand at 21.7% CAGR during 2022-2030.
Based on country, the Europe artificial intelligence in agriculture market is categorized into Germany, the UK, France, Italy, Russia, and the Rest of Europe. Our regional analysis states that Germany captured 28.1% share of Europe artificial intelligence in agriculture market in 2022. It was assessed at US$ 129.84 million in 2022 and is likely to hit US$ 636.12 million by 2030, registering a CAGR of 22.0% during 2022-2030.
Key players operating in the Europe artificial intelligence in agriculture market are Deere & Co, International Business Machines Corp, Microsoft Corp, Easytosee Agtech SL, Climate LLC, Gamaya SA, Prospera Technologies Ltd, and Taranis among others.
In November 2022, Microsoft’s research wing, in collaboration with Oxford University, Artificial Technology and Climate Change, Atal incubation center, and Agricultural Development Trust, has launched Microsoft Farmvibes.ai. It will focus on sustainable and cost-effective agricultural practices, utilizing precise scientific techniques and data-driven production.
In March 2023, Microsoft is aiming to build tools that help farmers grow more sustainably by leveraging data and AI. Affordable internet-connected sensors, powered by cloud technology, AI, and machine learning, enable farmers to capture and track operational data from soil, equipment, and livestock. This data can be used to improve yields while conserving resources, such as water. AI technology, like Project FarmVibes.AI, can predict and plot fertilizer and herbicide amounts based on soil nutrients, forecast temperatures and wind speeds, determine seed and irrigation depth, and guide crop practices to sequester carbon in the soil. These digital tools help farmers make informed decisions about their farms, optimizing harvests with minimal resources. By monitoring greenhouse gas emissions, water use, and pollution, the agricultural sector can help Europe achieve sustainable food systems and reduce the EU’s greenhouse gas emissions. Azure Data Manager for Agriculture automates environmental data capture, storage, and analysis, reducing manual data collection and enabling more accurate and detailed reporting.
o Highlights key business priorities in order to assist companies to realign their business strategies.
o The key findings and recommendations highlight crucial progressive industry trends in the Europe artificial intelligence in agriculture market, thereby allowing players across the value chain to develop effective long-term strategies.
o Develop/modify business expansion plans by using substantial growth offering developed and emerging markets.
o Scrutinize in-depth Europe market trends and outlook coupled with the factors driving the Europe artificial intelligence in agriculture market, as well as those hindering it.
o Enhance the decision-making process by understanding the strategies that underpin commercial interest with respect to client products, segmentation, pricing, and distribution.
1. Introduction
1.1 The the Reporting Teams Research Report Guidance
1.2 Market Segmentation
2. Executive Summary
2.1 Key Insights
2.2 Market Attractiveness
3. Research Methodology
3.1 Coverage
3.2 Secondary Research
3.3 Primary Research
4. Artificial Intelligence in Agriculture Market Landscape
4.1 Overview
4.2 PEST Analysis
4.3 Ecosystem Analysis
4.3.1 List of Vendors in the Value Chain
5. Europe Artificial Intelligence in Agriculture Market – Key Market Dynamics
5.1 Market Drivers
5.1.1 Increasing Need for Real-Time Analytics in Agriculture
5.1.2 Growing Government Support for Implementation of AI Solution
5.1.3 Growing Use of Unmanned Ariel Vehicles (UAVs) in Farming
5.2 Restraints
5.2.1 Shortage of Technically Skilled Labor
5.2.2 High Implementation Cost of AI in Farming Equipment
5.3 Opportunity
5.3.1 Increasing Smart Farming
5.3.2 Potential Growth Opportunities in Developing Countries
5.4 Future Trend
5.4.1 Robotics and Automation in Agriculture
5.5 Impact of Drivers and Restraints:
6. Artificial Intelligence in Agriculture Market – Europe Market Analysis
6.1 Artificial Intelligence in Agriculture Market Revenue (US$ Million), 2022-2030
6.2 Artificial Intelligence in Agriculture Market Forecast Analysis
7. Europe Artificial Intelligence in Agriculture Market Analysis – by Component
7.1 Hardware
7.1.1 Overview
7.1.2 Hardware: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
7.2 Software
7.2.1 Overview
7.2.2 Software: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
7.3 Services
7.3.1 Overview
7.3.2 Services: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
8. Europe Artificial Intelligence in Agriculture Market Analysis – by Application
8.1 Precision Farming
8.1.1 Overview
8.1.2 Precision Farming: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
8.2 Drone Analytics
8.2.1 Overview
8.2.2 Drone Analytics: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
8.3 Agriculture Robots
8.3.1 Overview
8.3.2 Agriculture Robots: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
8.4 Livestock Monitoring
8.4.1 Overview
8.4.2 Livestock Monitoring: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
8.5 Others
8.5.1 Overview
8.5.2 Others: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
9. Europe Artificial Intelligence in Agriculture Market – Country Analysis
9.1 Europe Artificial Intelligence in Agriculture Market Overview
9.1.1 Europe: Artificial Intelligence in Agriculture Market – Revenue and Forecast Analysis – by Country
9.1.1.1 Europe: Artificial Intelligence in Agriculture Market – Revenue and Forecast Analysis – by Country
9.1.1.2 Germany: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
9.1.1.2.1 Germany: Artificial Intelligence in Agriculture Market Breakdown, by Component
9.1.1.2.2 Germany: Artificial Intelligence in Agriculture Market Breakdown, by Application
9.1.1.3 United Kingdom: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
9.1.1.3.1 United Kingdom: Artificial Intelligence in Agriculture Market Breakdown, by Component
9.1.1.3.2 United Kingdom: Artificial Intelligence in Agriculture Market Breakdown, by Application
9.1.1.4 France: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
9.1.1.4.1 France: Artificial Intelligence in Agriculture Market Breakdown, by Component
9.1.1.4.2 France: Artificial Intelligence in Agriculture Market Breakdown, by Application
9.1.1.5 Italy: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
9.1.1.5.1 Italy: Artificial Intelligence in Agriculture Market Breakdown, by Component
9.1.1.5.2 Italy: Artificial Intelligence in Agriculture Market Breakdown, by Application
9.1.1.6 Russia: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
9.1.1.6.1 Russia: Artificial Intelligence in Agriculture Market Breakdown, by Component
9.1.1.6.2 Russia: Artificial Intelligence in Agriculture Market Breakdown, by Application
9.1.1.7 Rest of Europe: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
9.1.1.7.1 Rest of Europe: Artificial Intelligence in Agriculture Market Breakdown, by Component
9.1.1.7.2 Rest of Europe: Artificial Intelligence in Agriculture Market Breakdown, by Application
10. Competitive Landscape
10.1 Heat Map Analysis by Key Players
10.2 Company Positioning & Concentration
11. Industry Landscape
11.1 Overview
11.2 Market Initiative
11.3 Product Development
11.4 Mergers & Acquisitions
12. Company Profiles
12.1 Easytosee Agtech SL
12.1.1 Key Facts
12.1.2 Business Description
12.1.3 Products and Services
12.1.4 Financial Overview
12.1.5 SWOT Analysis
12.1.6 Key Developments
12.2 Deere & Co
12.2.1 Key Facts
12.2.2 Business Description
12.2.3 Products and Services
12.2.4 Financial Overview
12.2.5 SWOT Analysis
12.2.6 Key Developments
12.3 Climate LLC
12.3.1 Key Facts
12.3.2 Business Description
12.3.3 Products and Services
12.3.4 Financial Overview
12.3.5 SWOT Analysis
12.3.6 Key Developments
12.4 Gamaya SA
12.4.1 Key Facts
12.4.2 Business Description
12.4.3 Products and Services
12.4.4 Financial Overview
12.4.5 SWOT Analysis
12.4.6 Key Developments
12.5 International Business Machines Corp
12.5.1 Key Facts
12.5.2 Business Description
12.5.3 Products and Services
12.5.4 Financial Overview
12.5.5 SWOT Analysis
12.5.6 Key Developments
12.6 Microsoft Corp
12.6.1 Key Facts
12.6.2 Business Description
12.6.3 Products and Services
12.6.4 Financial Overview
12.6.5 SWOT Analysis
12.6.6 Key Developments
12.7 Prospera Technologies Ltd
12.7.1 Key Facts
12.7.2 Business Description
12.7.3 Products and Services
12.7.4 Financial Overview
12.7.5 SWOT Analysis
12.7.6 Key Developments
12.8 Taranis
12.8.1 Key Facts
12.8.2 Business Description
12.8.3 Products and Services
12.8.4 Financial Overview
12.8.5 SWOT Analysis
12.8.6 Key Developments
13. Appendix
13.1 Word Index
13.2 About The the Reporting Teams
Table 1. Artificial Intelligence in Agriculture Market Segmentation
Table 2. List of Vendors
Table 3. Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
Table 4. Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million) – by Component
Table 5. Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million) – by Application
Table 6. Europe: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million) – by Country
Table 7. Germany: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million) – by Component
Table 8. Germany: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million) – by Application
Table 9. United Kingdom: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million) – by Component
Table 10. United Kingdom: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million) – by Application
Table 11. France: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million) – by Component
Table 12. France: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million) – by Application
Table 13. Italy: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million) – by Component
Table 14. Italy: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million) – by Application
Table 15. Russia: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million) – by Component
Table 16. Russia: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million) – by Application
Table 17. Rest of Europe: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million) – by Component
Table 18. Rest of Europe: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million) – by Application
Table 19. Company Positioning & Concentration
Table 20. List of Abbreviation
Figure 1. Artificial Intelligence in Agriculture Market Segmentation, by Country
Figure 2. PEST Analysis
Figure 3. Artificial Intelligence in Agriculture Market – Key Market Dynamics
Figure 4. Impact Analysis of Drivers and Restraints
Figure 5. Artificial Intelligence in Agriculture Market Revenue (US$ Million), 2022-2030
Figure 6. Artificial Intelligence in Agriculture Market Share (%) – by Component (2022 and 2030)
Figure 7. Hardware: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
Figure 8. Software: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
Figure 9. Services: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
Figure 10. Artificial Intelligence in Agriculture Market Share (%) – by Application (2022 and 2030)
Figure 11. Precision Farming: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
Figure 12. Drone Analytics: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
Figure 13. Agriculture Robots: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
Figure 14. Livestock Monitoring: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
Figure 15. Others: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
Figure 16. Europe: Artificial Intelligence in Agriculture Market, by Key Country – Revenue (2022) (US$ Million)
Figure 17. Europe: Artificial Intelligence in Agriculture Market Breakdown, by Key Countries, 2022 and 2030 (%)
Figure 18. Germany: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030(US$ Million)
Figure 19. United Kingdom: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030(US$ Million)
Figure 20. France: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030(US$ Million)
Figure 21. Italy: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030(US$ Million)
Figure 22. Russia: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030(US$ Million)
Figure 23. Rest of Europe: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030(US$ Million)
Figure 24. Heat Map Analysis by Key Players
The List of Companies – Europe Artificial Intelligence in Agriculture Market
1. Easytosee Agtech SL
2. Deere & Co
3. Climate LLC
4. Gamaya SA
5. International Business Machines Corp
6. Microsoft Corp
7. Prospera Technologies Ltd
8. Taranis
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