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

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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.

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.

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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 (FYâ€™2024-FYâ€™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 (FYâ€™2024-FYâ€™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. SPERâ€™s internal database
2.1.4. Premium insight from KOLâ€™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. PORTERâ€™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

How big is Germany AI in Agriculture Market?

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.

What is the growth rate of Germany AI in Agriculture Market?

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.

What is the anticipated CAGR of Germany AI in Agriculture Market during the forecast period?

Germany AI in Agriculture Market CAGR of 8.39% during the forecast period.

How can I get a sample report on Germany AI in Agriculture Market?

You can get the sample pages by clicking the link -Click Here

What is the market size of Germany AI in Agriculture Market?

Germany AI in Agriculture Market size is USD 646.81 million from 2024 to 2033.

Which segment is expected to lead Germany AI in Agriculture Market?

Germany AI in Agriculture Market Segment is Covered By Technology, By Application.

Which region is expected to have the highest market share in Germany AI in Agriculture Market?

The Europe region is anticipated to have the highest market share in Germany AI in Agriculture Market.

Who are the key players 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.

What is the conclusion of Germany AI in Agriculture Market?

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.