Germany AI in Agriculture Market Growth, Size, Trends, Share, Revenue, Scope and Future Outlook

Germany AI in Agriculture Market Size- By Technology, By Application- Regional Outlook, Competitive Strategies and Segment Forecast to 2033

Germany AI in Agriculture Market Size- By Technology, By Application- Regional Outlook, Competitive Strategies and Segment Forecast to 2033

Published: Jul 2024 Report ID: AGRI2433 Pages: 1 - 103 Formats*:     
Category : Agriculture
Germany AI in Agriculture Market Introduction and Overview 

According to SPER Market Research, the Germany AI in Agriculture Market is estimated to reach USD 646.81 million by 2033 with a CAGR 8.39%.

The report includes an in-depth analysis of the Germany AI in Agriculture Market, including market size and trends, product mix, distribution channels, and supplier analysis. Artificial Intelligence (AI) is transforming agriculture by providing cutting-edge answers to long-standing problems. Farmers may increase crop yields, streamline processes, and use fewer resources by utilizing AI-powered solutions. Precision farming is a notable application of AI, wherein real-time insights are obtained through data analysis from sensors, satellites, and drones. By accurately controlling fertilization, irrigation, and insect management, this promotes more sustainable practices. AI also improves agricultural monitoring by early disease and nutrient deficiency detection that enables prompt response.
Germany AI in Agriculture Market
Market Opportunities and Challenges

Opportunities: The need for artificial intelligence (AI) in agriculture in Germany is rising due to the government's increasing funding in AI research and development. The German government's commitment to innovation is driving the adoption of contemporary technology in the agriculture sector, realizing the revolutionary potential of artificial intelligence in enhancing agricultural operations. Germany is known for its diverse crop diversity and commitment to sustainable farming practices. Farmers can now benefit from the government's strategic focus on AI research and development. Furthermore, the development of intelligent agricultural applications and the introduction of Internet of Things (IoT) devices in rural regions are facilitated by the availability of high-speed internet. These developments support more productive farming practices, efficient resource management, and sustainable farming practices.

Challenges: In Germany, demand for Artificial Intelligence (AI) for agricultural purposes has been limited by interoperability concerns, which have proven to be a significant obstacle. The effective deployment of AI technologies requires their seamless integration with current farming systems; however, interoperability problems prevent the general adoption of these cutting-edge solutions.

Germany AI in Agriculture Market


Market Competitive Landscape
The AI in Agriculture market in Germany is moderately consolidated. Some of the market key players are Agrilution Systems GmbH, BASF Digital Farming GmbH, BEL BioEnergieLand GmbH, Constellr GmbH, Heliopas.ai GmbH, ISARIA Corporate Design GmbH, Same Deutz-Fahr Deutschland GmbH, SmartCloudFarming GmbH, Stenon GmbH, Wevo-chemie GmbH, Others.

Scope of the report:
 Report Metric Details
 Market size available for years 2020-2033
 Base year considered 2023
 Forecast period 2024-2033
 Segments covered By Technology, By Application
 Regions covered
Eastern Region, Southern Region, Northern Region, Western Region
 Companies Covered
Agrilution Systems GmbH, BASF Digital Farming GmbH, BEL BioEnergieLand GmbH, Constellr GmbH, Heliopas.ai GmbH, ISARIA Corporate Design GmbH, Same Deutz-Fahr Deutschland GmbH, SmartCloudFarming GmbH, Stenon GmbH, Wevo-chemie GmbH, Others.
COVID-19 Impact on Germany AI in Agriculture Market
The COVID-19 pandemic has had a notable effect on Germany's AI in agriculture sector, albeit with varying results across different segments. The availability of AI technologies and equipment was first impacted by supply chain interruptions, which slowed down acceptance and implementation rates. Labor shortages and logistical issues during lockdowns caused operational difficulties for many farms, which made technology integration even more difficult. But the pandemic also made clear how crucial AI-driven solutions are to maintaining sustainability and food security. Artificial intelligence (AI) technologies that can increase agricultural output, automate procedures, and reduce the need for manual labor are thereby gaining popularity and funding.

Key Target Audience:
  • Farmers and Agribusinesses
  • Agricultural Technology Providers
  • Government and Regulatory Bodies
  • Research Institutions and Academia
  • Investors and Venture Capitalists
Our in-depth analysis of the Germany AI in Agriculture Market includes the following segments:
By Technology:
  • Machine Learning
  • Predictive Analytics
  • Computer Vision
  • By Application:
  • Precision Farming
  • Livestock Monitoring
  • Agriculture Robots
  • Drone Analytics
  • Others
  • Key Topics Covered in the Report:
    • Germany AI in Agriculture Market Size (FY’2024-FY’2033)
    • Overview of Germany AI in Agriculture Market
    • Segmentation of Germany AI in Agriculture Market By Technology (Machine Learning, Predictive Analytics, Computer Vision)
    • Segmentation of Germany AI in Agriculture Market By Application (Precision Farming, Livestock Monitoring, Agriculture Robots, Drone Analytics, Others)
    • Expansion Analysis of Germany AI in Agriculture Market
    • Problems and Obstacles in Germany AI in Agriculture Market
    • Competitive Landscape in the Germany AI in Agriculture Market
    • Impact of COVID-19 and Demonetization on Germany AI in Agriculture Market
    • Details on Current Investment in Germany AI in Agriculture Market
    • Competitive Analysis of Germany AI in Agriculture Market
    • Prominent Players in the Germany AI in Agriculture Market
    • SWOT Analysis of Germany AI in Agriculture Market
    • Germany AI in Agriculture Market Future Outlook and Projections (FY’2024-FY’2033)
    • Recommendations from Analyst
    1. Introduction
    1.1. Scope of the report 
    1.2. Market segment analysis

    2. Research Methodology
    2.1. Research data source
    2.1.1. Secondary Data
    2.1.2. Primary Data
    2.1.3. SPER’s internal database
    2.1.4. Premium insight from KOL’s
    2.2. Market size estimation
    2.2.1. Top-down and Bottom-up approach
    2.3. Data triangulation

    3. Executive Summary

    4. Market Dynamics
    4.1. Driver, Restraint, Opportunity and Challenges analysis
    4.1.1. Drivers
    4.1.2. Restraints
    4.1.3. Opportunities
    4.1.4. Challenges
    4.2. COVID-19 Impacts of the Germany AI in Agriculture Market 

    5. Market variable and outlook
    5.1. SWOT Analysis
    5.1.1. Strengths
    5.1.2. Weaknesses
    5.1.3. Opportunities
    5.1.4. Threats
    5.2. PESTEL Analysis
    5.2.1. Political Landscape
    5.2.2. Economic Landscape
    5.2.3. Social Landscape
    5.2.4. Technological Landscape
    5.2.5. Environmental Landscape
    5.2.6. Legal Landscape
    5.3. PORTER’s Five Forces 
    5.3.1. Bargaining power of suppliers
    5.3.2. Bargaining power of buyers
    5.3.3. Threat of Substitute
    5.3.4. Threat of new entrant
    5.3.5. Competitive rivalry
    5.4. Heat Map Analysis

    6. Competitive Landscape
    6.1. Germany AI in Agriculture Market Manufacturing Base Distribution, Sales Area, Product Type 
    6.2. Mergers & Acquisitions, Partnerships, Product Launch, and Collaboration in Germany AI in Agriculture Market 

    7. Germany AI in Agriculture Market, By Technology (USD Million) 2020-2033
    7.1. Germany AI in Agriculture Market Size, Share and Forecast, By Technology, 2020-2026 
    7.2. Germany AI in Agriculture Market Size, Share and Forecast, By Technology, 2027-2033
    7.3. Machine Learning
    7.4. Predictive Analytics
    7.5. Computer Vision

    8. Germany AI in Agriculture Market, By Application (USD Million) 2020-2033
    8.1. Germany AI in Agriculture Market Size, Share and Forecast, By Application, 2020-2026 
    8.2. Germany AI in Agriculture Market Size, Share and Forecast, By Application, 2027-2033
    8.3. Precision Farming
    8.4. Livestock Monitoring
    8.5. Agriculture Robots
    8.6. Drone Analytics
    8.7. Others

    9. Germany AI in Agriculture Market Forecast, 2020-2033 (USD Million)
    9.1. Germany AI in Agriculture Market Size and Market Share

    10. Germany AI in Agriculture Market, By Region, 2020-2033 (USD Million)
    10.1. Germany AI in Agriculture Market Size and Market Share By Region (2020-2026)
    10.2. Germany AI in Agriculture Market Size and Market Share By Region (2027-2033)
    10.3. Eastern Region
    10.4. Southern Region
    10.5. Northern Region
    10.6. Western Region

    11. Company Profile
    11.1. Agrilution Systems GmbH
    11.1.1. Company details
    11.1.2. Financial outlook
    11.1.3. Product summary 
    11.1.4. Recent developments
    11.2. BASF Digital Farming GmbH
    11.2.1. Company details
    11.2.2. Financial outlook
    11.2.3. Product summary 
    11.2.4. Recent developments
    11.3. BEL BioEnergieLand GmbH
    11.3.1. Company details
    11.3.2. Financial outlook
    11.3.3. Product summary 
    11.3.4. Recent developments
    11.4. Constellr GmbH
    11.4.1. Company details
    11.4.2. Financial outlook
    11.4.3. Product summary 
    11.4.4. Recent developments
    11.5. Heliopas.ai GmbH
    11.5.1. Company details
    11.5.2. Financial outlook
    11.5.3. Product summary 
    11.5.4. Recent developments
    11.6. ISARIA Corporate Design GmbH
    11.6.1. Company details
    11.6.2. Financial outlook
    11.6.3. Product summary 
    11.6.4. Recent developments
    11.7. Same Deutz-Fahr Deutschland GmbH
    11.7.1. Company details
    11.7.2. Financial outlook
    11.7.3. Product summary 
    11.7.4. Recent developments
    11.8. SmartCloudFarming GmbH
    11.8.1. Company details
    11.8.2. Financial outlook
    11.8.3. Product summary 
    11.8.4. Recent developments
    11.9. Stenon GmbH
    11.9.1. Company details
    11.9.2. Financial outlook
    11.9.3. Product summary 
    11.9.4. Recent developments
    11.10. Wevo-chemie GmbH
    11.10.1. Company details
    11.10.2. Financial outlook
    11.10.3. Product summary 
    11.10.4. Recent developments
    11.11. Others

    12. Conclusion

    13. Reference Links

    14. List of Abbreviations

    SPER Market Research’s methodology uses great emphasis on primary research to ensure that the market intelligence insights are up to date, reliable and accurate. Primary interviews are done with players involved in each phase of a supply chain to analyze the market forecasting. The secondary research method is used to help you fully understand how the future markets and the spending patterns look likes.

    The report is based on in-depth qualitative and quantitative analysis of the Product Market. The quantitative analysis involves the application of various projection and sampling techniques. The qualitative analysis involves primary interviews, surveys, and vendor briefings.  The data gathered as a result of these processes are validated through experts opinion. Our research methodology entails an ideal mixture of primary and secondary initiatives.

    SPER-Methodology-1

    SPER-Methodology-2

    SPER-Methodology-3


    Frequently Asked Questions About This Report
    Germany AI in Agriculture Market is projected to reach USD 646.81 million by 2033, growing at a CAGR of 8.39% during the forecast period.
    Germany AI in Agriculture Market grew in market size from 2024. The Market is expected to reach USD 646.81 million by 2033, at a CAGR of 8.39% during the forecast period.
    Germany AI in Agriculture Market CAGR of 8.39% during the forecast period.
    You can get the sample pages by clicking the link -Click Here
    Germany AI in Agriculture Market size is USD 646.81 million from 2024 to 2033.
    Germany AI in Agriculture Market Segment is Covered By Technology, By Application.
    The Europe region is anticipated to have the highest market share in Germany AI in Agriculture Market.
    The key players in the market include Companies Covered Agrilution Systems GmbH, BASF Digital Farming GmbH, BEL BioEnergieLand GmbH, Constellr GmbH, Heliopas.ai GmbH, ISARIA Corporate Design GmbH, Same Deutz-Fahr Deutschland GmbH, SmartCloudFarming GmbH, Stenon GmbH, Wevo-chemie GmbH, Others.
    The need for artificial intelligence (AI) in agriculture in Germany is rising due to the government's increasing funding in AI research and development. The German government's commitment to innovation is driving the adoption of contemporary technology in the agriculture sector, realizing the revolutionary potential of artificial intelligence in enhancing agricultural operations.
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