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Europe Generative AI in Agriculture Market Size, Share & Industry Analysis Report by Technology, Application, Country and Growth Forecast, 2025-2032

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    Report

  • 196 Pages
  • March 2026
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6275799
The Europe Generative AI In Agriculture Market is expected to reach $281.39 million by 2031 and is expected to witness market growth of 27.5% CAGR during the forecast period (2025-2032).

The Germany market dominated the Europe Generative AI In Agriculture Market by country in 2024, and is expected to continue to be a dominant market till 2032; thereby, achieving a market value of $91.3 million by 2032. The UK market is experiencing a CAGR of 26.2% during 2025-2032. Additionally, the France market is expected to exhibit a CAGR of 28.5% during 2025-2032. The Germany and UK led the Europe Generative AI In Agriculture Market by Country with a market share of 27.2% and 16.6% in 2024. The Spain market is expected to witness a CAGR of 29.4% during throughout the forecast period.


Generative AI in European agriculture has progressed from precision farming and digital farm management systems to sophisticated tools that mimic crop cycles, climate reactions, and resource strategies. The European Commission's policies and research funding from Horizon Europe have a lot to do with its growth. Big OEMs like John Deere Europe and CNH Industrial use AI to connect machinery and cloud platforms so that they can give scenario-based advice on irrigation, nutrients, and crop protection.

Key trends show a strong connection to sustainability frameworks like the European Green Deal and the Farm to Fork Strategy, as well as the growth of publicly funded innovation ecosystems. Public organizations, like the European Investment Bank, help AI get used by providing money and coordinating rules. Competition is based on ecosystem integration, interoperability, and following EU rules. This makes generative AI a key factor in adapting to climate change, making the best use of resources, and long-term digital transformation in European farming.

Technology Outlook

Based on technology, the generative AI In agriculture market is segmented into machine learning, computer vision, natural language processing (NLP), and GANs. With a compound annual growth rate (CAGR) of 28.5% over the projection period, the Machine Learning Market, dominate the Italy Generative AI In Agriculture Market by Technology in 2024 and would be a prominent market until 2032. The Natural Language Processing (NLP) market is expected to witness a CAGR of 30.2% during 2025-2032.

Application Outlook

Based on application, the generative AI In agriculture market is segmented into agricultural robotics & automation, precision farming, livestock management, weather forecasting, and other application. The Agricultural Robotics & Automation market segment dominated the France Generative AI In Agriculture Market by Application is expected to grow at a CAGR of 26.9 % during the forecast period thereby continuing its dominance until 2032. Also, The Weather Forecasting market is anticipated to grow as a CAGR of 29.9 % during the forecast period during 2025-2032.


Country Outlook

Germany's farmers are using AI and generative AI increasingly to help them make better decisions on the farm every day, increase yields, and make farming more sustainable. Bitkom and the German Agricultural Society (DLG) have done surveys that show that almost half of farms are already looking into or using AI for things like irrigation, monitoring livestock, and planting

List of Key Companies Profiled

  • Microsoft Corporation
  • Bayer AG
  • BASF SE
  • IBM Corporation
  • Trimble, Inc.
  • AgEagle Aerial Systems, Inc.
  • AGCO Corporation
  • Valmont Industries, Inc.
  • Raven Industries, Inc.
  • A.A.A Taranis Visual Ltd.

Market Report Segmentation

By Technology
  • Machine Learning
  • Computer Vision
  • Natural Language Processing (NLP)
  • GANs
By Application
  • Agricultural Robotics & Automation
  • Precision Farming
  • Livestock Management
  • Weather Forecasting
  • Other Application
By Country
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Europe Generative AI In Agriculture Market, by Technology
1.4.2 Europe Generative AI In Agriculture Market, by Application
1.4.3 Europe Generative AI In Agriculture Market, by Country
1.5 Methodology for the Research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Market Challenges
Chapter 4. Market TrendsChapter 5. State of CompetitionChapter 6. Market ConsolidationChapter 7. Key Customer CriteriaChapter 8. Product Life CycleChapter 9. Value Chain Analysis of Generative AI In Agriculture Market
Chapter 10. Competition Analysis - Global
10.1 Market Share Analysis, 2024
10.2 Porter Five Forces Analysis
Chapter 11. Europe Generative AI In Agriculture Market by Technology
11.1 Europe Machine Learning Market by Country
11.2 Europe Computer Vision Market by Country
11.3 Europe Natural Language Processing (NLP) Market by Country
11.4 Europe GANs Market by Country
Chapter 12. Europe Generative AI In Agriculture Market by Application
12.1 Europe Agricultural Robotics & Automation Market by Country
12.2 Europe Precision Farming Market by Country
12.3 Europe Livestock Management Market by Country
12.4 Europe Weather Forecasting Market by Country
12.5 Europe Other Application Market by Country
Chapter 13. Europe Generative AI In Agriculture Market by Country
13.1 Germany Generative AI In Agriculture Market
13.1.1 Germany Generative AI In Agriculture Market by Technology
13.1.2 Germany Generative AI In Agriculture Market by Application
13.2 UK Generative AI In Agriculture Market
13.2.1 UK Generative AI In Agriculture Market by Technology
13.2.2 UK Generative AI In Agriculture Market by Application
13.3 France Generative AI In Agriculture Market
13.3.1 France Generative AI In Agriculture Market by Technology
13.3.2 France Generative AI In Agriculture Market by Application
13.4 Russia Generative AI In Agriculture Market
13.4.1 Russia Generative AI In Agriculture Market by Technology
13.4.2 Russia Generative AI In Agriculture Market by Application
13.5 Spain Generative AI In Agriculture Market
13.5.1 Spain Generative AI In Agriculture Market by Technology
13.5.2 Spain Generative AI In Agriculture Market by Application
13.6 Italy Generative AI In Agriculture Market
13.6.1 Italy Generative AI In Agriculture Market by Technology
13.6.2 Italy Generative AI In Agriculture Market by Application
13.7 Rest of Europe Generative AI In Agriculture Market
13.7.1 Rest of Europe Generative AI In Agriculture Market by Technology
13.7.2 Rest of Europe Generative AI In Agriculture Market by Application
Chapter 14. Company Profiles
14.1 Microsoft Corporation
14.1.1 Company Overview
14.1.2 Financial Analysis
14.1.3 Segmental and Regional Analysis
14.1.4 Research & Development Expenses
14.1.5 Recent Strategies and Developments
14.1.5.1 Partnerships, Collaborations, and Agreements
14.1.6 SWOT Analysis
14.2 Bayer AG
14.2.1 Company Overview
14.2.2 Financial Analysis
14.2.3 Segmental and Regional Analysis
14.2.4 Research & Development Expense
14.2.5 SWOT Analysis
14.3 BASF SE
14.3.1 Company Overview
14.3.2 Financial Analysis
14.3.3 Segmental and Regional Analysis
14.3.4 Research & Development Expenses
14.3.5 Recent Strategies and Developments
14.3.5.1 Partnerships, Collaborations, and Agreements
14.3.6 SWOT Analysis
14.4 IBM Corporation
14.4.1 Company Overview
14.4.2 Financial Analysis
14.4.3 Regional & Segmental Analysis
14.4.4 Research & Development Expenses
14.4.5 Recent Strategies and Developments
14.4.5.1 Partnerships, Collaborations, and Agreements
14.4.6 SWOT Analysis
14.5 Trimble, Inc.
14.5.1 Company Overview
14.5.2 Financial Analysis
14.5.3 Segmental and Regional Analysis
14.5.4 Research & Development Expenses
14.5.5 SWOT Analysis
14.6 AgEagle Aerial Systems, Inc.
14.6.1 Company Overview
14.6.2 Financial Analysis
14.6.3 Segmental and Regional Analysis
14.6.4 Research & Development Expenses
14.6.5 SWOT Analysis
14.7 AGCO Corporation
14.7.1 Company Overview
14.7.2 Financial Analysis
14.7.3 Segmental Analysis
14.7.4 Research & Development Expenses
14.7.5 SWOT Analysis
14.8 Valmont Industries, Inc.
14.8.1 Company Overview
14.8.2 Financial Analysis
14.8.3 Segmental and Regional Analysis
14.9 Raven Industries, Inc.
14.9.1 Company Overview
14.1 A.A.A Taranis Visual Ltd.
14.10.1 Company Overview
Chapter 15. Company Profiles
15.1 Microsoft Corporation
15.1.1 Company Overview
15.1.2 Financial Analysis
15.1.3 Segmental and Regional Analysis
15.1.4 Research & Development Expenses
15.1.5 Recent Strategies and Developments
15.1.5.1 Partnerships, Collaborations, and Agreements
15.1.6 SWOT Analysis
15.2 Bayer AG
15.2.1 Company Overview
15.2.2 Financial Analysis
15.2.3 Segmental and Regional Analysis
15.2.4 Research & Development Expense
15.2.5 SWOT Analysis
15.3 BASF SE
15.3.1 Company Overview
15.3.2 Financial Analysis
15.3.3 Segmental and Regional Analysis
15.3.4 Research & Development Expenses
15.3.5 Recent Strategies and Developments
15.3.5.1 Partnerships, Collaborations, and Agreements
15.3.6 SWOT Analysis
15.4 IBM Corporation
15.4.1 Company Overview
15.4.2 Financial Analysis
15.4.3 Regional & Segmental Analysis
15.4.4 Research & Development Expenses
15.4.5 Recent Strategies and Developments
15.4.5.1 Partnerships, Collaborations, and Agreements
15.4.6 SWOT Analysis
15.5 Trimble, Inc.
15.5.1 Company Overview
15.5.2 Financial Analysis
15.5.3 Segmental and Regional Analysis
15.5.4 Research & Development Expenses
15.5.5 SWOT Analysis
15.6 AgEagle Aerial Systems, Inc.
15.6.1 Company Overview
15.6.2 Financial Analysis
15.6.3 Segmental and Regional Analysis
15.6.4 Research & Development Expenses
15.6.5 SWOT Analysis
15.7 AGCO Corporation
15.7.1 Company Overview
15.7.2 Financial Analysis
15.7.3 Segmental Analysis
15.7.4 Research & Development Expenses
15.7.5 SWOT Analysis
15.8 Valmont Industries, Inc.
15.8.1 Company Overview
15.8.2 Financial Analysis
15.8.3 Segmental and Regional Analysis
15.9 Raven Industries, Inc.
15.9.1 Company Overview
15.1 A.A.A Taranis Visual Ltd.
15.10.1 Company Overview

Companies Mentioned

  • Microsoft Corporation
  • Bayer AG
  • BASF SE
  • IBM Corporation
  • Trimble, Inc.
  • AgEagle Aerial Systems, Inc.
  • AGCO Corporation
  • Valmont Industries, Inc.
  • Raven Industries, Inc.
  • A.A.A Taranis Visual Ltd.