Digital Agriculture Market
Description
The global digital agriculture market was valued at $18.6 billion in 2023, and is projected to reach $51.3 billion by 2033, growing at a CAGR of 10.5% from 2024 to 2033.
Digital agriculture refers to the use of digital technologies, data analytics, and automated systems to enhance and optimize agricultural practices. It involves leveraging tools like sensors, drones, satellite imagery, artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) to monitor, manage, and improve farming operations. These technologies enable farmers to make more informed decisions, increase efficiency, reduce environmental impact, and ultimately enhance productivity and profitability.
Increase in demand for food to feed the increase in global population drives the growth of the digital agriculture market. As the population continues to rise, there is a pressing need to improve agricultural productivity and ensure food security, which digital technologies are helping to address. In addition, advancements in technology such as the Internet of Things (IoT), artificial intelligence (AI), machine learning, and robotics are revolutionizing farming practices. The growing emphasis on sustainability in farming practices is also a key driver, as digital agriculture allows for more sustainable resource management and reduces the environmental impact of traditional farming methods.
However, despite the many benefits, the digital agriculture market faces several restraints that hinder its growth. One major challenge is the high initial cost of implementing digital agriculture technologies. The investment required for sensors, drones, AI systems, and other digital tools can be prohibitive, particularly for small-scale farmers in developing regions. In addition, the lack of digital infrastructure and internet connectivity in rural and remote areas poses a significant barrier to the adoption of digital agriculture solutions.
Increase in availability and affordability of technology creates new possibilities for farmers, particularly in developing countries, offering opportunities for growth of the market. The adoption of mobile-based platforms, cloud computing, and satellite technologies is helping bridge the digital divide in rural areas and make digital agriculture more accessible. Moreover, there are significant opportunities in the integration of blockchain technology to ensure transparency and traceability in the agricultural supply chain, enhancing trust between producers and consumers. Surge interest in sustainable farming practices presents another opportunity, as digital agriculture helps farmers optimize their operations while minimizing environmental impact. For instance, in November 2023, AGCO Corporation, a global leader in agricultural machinery and precision ag technology, announced a transformative joint venture with Trimble Inc. This partnership aims to create a leading global mixed-fleet precision agriculture platform, enhancing AGCO's capabilities in delivering smart farming solutions.
Segment Review
The digital agriculture market is segmented on the basis of component, application, technology, and region. By component, the market is divided into hardware, software, and service. In terms of application, the market is segregated into precision farming & farm management, livestock monitoring, supply chain, financial management, and others. By technology, the market is categorized into AI, drones, IoT, automation, and others. On the basis of region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
Key Findings:
By component, the hardware segment led the digital agriculture industry in terms of revenue in 2023.
By application, the precision farming and farm management segment accounted for the highest digital agriculture market share in 2023.
By technology, the IoT segment accounted for the highest digital agriculture industry share in 2023.
By region, North America generated the highest revenue in 2023.
Competition Analysis
The report profiles the key players operating in the digital agriculture market analysis such as John Deere, Trimble Inc., AGCO Corporation, Bayer AG, Indigo Ag, Agreena ApS, ecoRobotix SA, IBM Corporation, Microsoft Corporation, Gamaya, AgEagle Aerial Systems Inc., CNH Industrial N.V., TOPCON CORPORATION, BASF Digital Farming GmbH, Digital Agriculture Services Pty Ltd, Bosch Global Software Technologies Pvt Ltd., Wipro, Yara International ASA, AGRIVI Ltd., and Small Robot Company. These players have adopted various strategies to increase their market penetration and strengthen their position in the digital farming market.
Key Benefits for Stakeholders
This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the digital agriculture market analysis from 2023 to 2033 to identify the prevailing digital agriculture market opportunities.
The market research is offered along with information related to key drivers, restraints, and opportunities.
Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
In-depth analysis of the digital agriculture market segmentation assists to determine the prevailing market opportunities.
Major countries in each region are mapped according to their revenue contribution to the global market.
Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
The report includes the analysis of the regional as well as global digital agriculture market trends, key players, market segments, application areas, and market growth strategies.
Key Market Segments
By Component
Hardware
Software
Service
By Application
Precision Farming and Farm Management
Livestock Monitoring
Supply Chain Management
Financial Management
Others
By Technology
AI
Drones
IoT
Automation
Others
By Region
North America
U.S.
Canada
Europe
UK
Germany
France
Italy
Spain
Rest of Europe
Asia-Pacific
China
Japan
India
Australia
South Korea
Rest O Asia-Pacific
LAMEA
Latin America
Middle East
Africa
Key Market Players
Trimble Inc.
AGCO Corporation.
Bayer AG
ecoRobotix SA
IBM Corporation
Microsoft Corporation
AgEagle Aerial Systems Inc.
CNH Industrial N.V.
TOPCON CORPORATION
John Deere
Indigo Ag
Agreena ApS
Gamaya
BASF
Digital Agriculture Services Pty Ltd
Bosch Global Software Technologies Pvt Ltd.
AGRIVI Ltd.
Wipro Limited
Small Robot Company
YARA International ASAThe research methodology of the global market involves extensive primary and secondary research. Primary research includes about over 12 hours of interviews and discussion with a wide range of stakeholders, including upstream and downstream participants. The primary research typically is the bulk of our research efforts; however, coherently supported by extensive secondary research. Researchers have reviewed over 6,765 product literatures, industry releases, annual reports, and other such documents of key industry participants to obtain better market understanding and gain competitive intelligence. In addition, authentic industry journals, trade associations' releases,and government websites have also been reviewed for generating high-value industry insights.
Digital agriculture refers to the use of digital technologies, data analytics, and automated systems to enhance and optimize agricultural practices. It involves leveraging tools like sensors, drones, satellite imagery, artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) to monitor, manage, and improve farming operations. These technologies enable farmers to make more informed decisions, increase efficiency, reduce environmental impact, and ultimately enhance productivity and profitability.
Increase in demand for food to feed the increase in global population drives the growth of the digital agriculture market. As the population continues to rise, there is a pressing need to improve agricultural productivity and ensure food security, which digital technologies are helping to address. In addition, advancements in technology such as the Internet of Things (IoT), artificial intelligence (AI), machine learning, and robotics are revolutionizing farming practices. The growing emphasis on sustainability in farming practices is also a key driver, as digital agriculture allows for more sustainable resource management and reduces the environmental impact of traditional farming methods.
However, despite the many benefits, the digital agriculture market faces several restraints that hinder its growth. One major challenge is the high initial cost of implementing digital agriculture technologies. The investment required for sensors, drones, AI systems, and other digital tools can be prohibitive, particularly for small-scale farmers in developing regions. In addition, the lack of digital infrastructure and internet connectivity in rural and remote areas poses a significant barrier to the adoption of digital agriculture solutions.
Increase in availability and affordability of technology creates new possibilities for farmers, particularly in developing countries, offering opportunities for growth of the market. The adoption of mobile-based platforms, cloud computing, and satellite technologies is helping bridge the digital divide in rural areas and make digital agriculture more accessible. Moreover, there are significant opportunities in the integration of blockchain technology to ensure transparency and traceability in the agricultural supply chain, enhancing trust between producers and consumers. Surge interest in sustainable farming practices presents another opportunity, as digital agriculture helps farmers optimize their operations while minimizing environmental impact. For instance, in November 2023, AGCO Corporation, a global leader in agricultural machinery and precision ag technology, announced a transformative joint venture with Trimble Inc. This partnership aims to create a leading global mixed-fleet precision agriculture platform, enhancing AGCO's capabilities in delivering smart farming solutions.
Segment Review
The digital agriculture market is segmented on the basis of component, application, technology, and region. By component, the market is divided into hardware, software, and service. In terms of application, the market is segregated into precision farming & farm management, livestock monitoring, supply chain, financial management, and others. By technology, the market is categorized into AI, drones, IoT, automation, and others. On the basis of region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
Key Findings:
By component, the hardware segment led the digital agriculture industry in terms of revenue in 2023.
By application, the precision farming and farm management segment accounted for the highest digital agriculture market share in 2023.
By technology, the IoT segment accounted for the highest digital agriculture industry share in 2023.
By region, North America generated the highest revenue in 2023.
Competition Analysis
The report profiles the key players operating in the digital agriculture market analysis such as John Deere, Trimble Inc., AGCO Corporation, Bayer AG, Indigo Ag, Agreena ApS, ecoRobotix SA, IBM Corporation, Microsoft Corporation, Gamaya, AgEagle Aerial Systems Inc., CNH Industrial N.V., TOPCON CORPORATION, BASF Digital Farming GmbH, Digital Agriculture Services Pty Ltd, Bosch Global Software Technologies Pvt Ltd., Wipro, Yara International ASA, AGRIVI Ltd., and Small Robot Company. These players have adopted various strategies to increase their market penetration and strengthen their position in the digital farming market.
Key Benefits for Stakeholders
This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the digital agriculture market analysis from 2023 to 2033 to identify the prevailing digital agriculture market opportunities.
The market research is offered along with information related to key drivers, restraints, and opportunities.
Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
In-depth analysis of the digital agriculture market segmentation assists to determine the prevailing market opportunities.
Major countries in each region are mapped according to their revenue contribution to the global market.
Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
The report includes the analysis of the regional as well as global digital agriculture market trends, key players, market segments, application areas, and market growth strategies.
Key Market Segments
By Component
Hardware
Software
Service
By Application
Precision Farming and Farm Management
Livestock Monitoring
Supply Chain Management
Financial Management
Others
By Technology
AI
Drones
IoT
Automation
Others
By Region
North America
U.S.
Canada
Europe
UK
Germany
France
Italy
Spain
Rest of Europe
Asia-Pacific
China
Japan
India
Australia
South Korea
Rest O Asia-Pacific
LAMEA
Latin America
Middle East
Africa
Key Market Players
Trimble Inc.
AGCO Corporation.
Bayer AG
ecoRobotix SA
IBM Corporation
Microsoft Corporation
AgEagle Aerial Systems Inc.
CNH Industrial N.V.
TOPCON CORPORATION
John Deere
Indigo Ag
Agreena ApS
Gamaya
BASF
Digital Agriculture Services Pty Ltd
Bosch Global Software Technologies Pvt Ltd.
AGRIVI Ltd.
Wipro Limited
Small Robot Company
YARA International ASAThe research methodology of the global market involves extensive primary and secondary research. Primary research includes about over 12 hours of interviews and discussion with a wide range of stakeholders, including upstream and downstream participants. The primary research typically is the bulk of our research efforts; however, coherently supported by extensive secondary research. Researchers have reviewed over 6,765 product literatures, industry releases, annual reports, and other such documents of key industry participants to obtain better market understanding and gain competitive intelligence. In addition, authentic industry journals, trade associations' releases,and government websites have also been reviewed for generating high-value industry insights.
Table of Contents
389 Pages
- CHAPTER 1: INTRODUCTION
- 1.1. Report description
- 1.2. Key market segments
- 1.3. Key benefits to the stakeholders
- 1.4. Research methodology
- 1.4.1. Primary research
- 1.4.2. Secondary research
- 1.4.3. Analyst tools and models
- CHAPTER 2: EXECUTIVE SUMMARY
- 2.1. CXO perspective
- CHAPTER 3: MARKET OVERVIEW
- 3.1. Market definition and scope
- 3.2. Key findings
- 3.2.1. Top impacting factors
- 3.2.2. Top investment pockets
- 3.3. Porter’s five forces analysis
- 3.3.1. Moderate to high bargaining power of suppliers
- 3.3.2. Moderate to high threat of new entrants
- 3.3.3. Moderate to high threat of substitutes
- 3.3.4. Moderate to high intensity of rivalry
- 3.3.5. Moderate to high bargaining power of buyers
- 3.4. Market dynamics
- 3.4.1. Drivers
- 3.4.1.1. Rising demand for precision farming
- 3.4.1.2. Technological advancements in IoT, AI, and big data
- 3.4.1.3. Government initiatives and subsidies
- 3.4.2. Restraints
- 3.4.2.1. High initial investment costs
- 3.4.2.2. Limited digital literacy and internet infrastructure
- 3.4.3. Opportunities
- 3.4.3.1. Growth of agritech startups and farm automation
- CHAPTER 4: DIGITAL AGRICULTURE MARKET, BY COMPONENT
- 4.1. Overview
- 4.1.1. Market size and forecast
- 4.2. Hardware
- 4.2.1. Key market trends, growth factors and opportunities
- 4.2.2. Market size and forecast, by region
- 4.2.3. Market share analysis by country
- 4.3. Software
- 4.3.1. Key market trends, growth factors and opportunities
- 4.3.2. Market size and forecast, by region
- 4.3.3. Market share analysis by country
- 4.4. Service
- 4.4.1. Key market trends, growth factors and opportunities
- 4.4.2. Market size and forecast, by region
- 4.4.3. Market share analysis by country
- CHAPTER 5: DIGITAL AGRICULTURE MARKET, BY APPLICATION
- 5.1. Overview
- 5.1.1. Market size and forecast
- 5.2. Precision Farming and Farm Management
- 5.2.1. Key market trends, growth factors and opportunities
- 5.2.2. Market size and forecast, by region
- 5.2.3. Market share analysis by country
- 5.3. Livestock Monitoring
- 5.3.1. Key market trends, growth factors and opportunities
- 5.3.2. Market size and forecast, by region
- 5.3.3. Market share analysis by country
- 5.4. Supply Chain Management
- 5.4.1. Key market trends, growth factors and opportunities
- 5.4.2. Market size and forecast, by region
- 5.4.3. Market share analysis by country
- 5.5. Financial Management
- 5.5.1. Key market trends, growth factors and opportunities
- 5.5.2. Market size and forecast, by region
- 5.5.3. Market share analysis by country
- 5.6. Others
- 5.6.1. Key market trends, growth factors and opportunities
- 5.6.2. Market size and forecast, by region
- 5.6.3. Market share analysis by country
- CHAPTER 6: DIGITAL AGRICULTURE MARKET, BY TECHNOLOGY
- 6.1. Overview
- 6.1.1. Market size and forecast
- 6.2. AI
- 6.2.1. Key market trends, growth factors and opportunities
- 6.2.2. Market size and forecast, by region
- 6.2.3. Market share analysis by country
- 6.3. Drones
- 6.3.1. Key market trends, growth factors and opportunities
- 6.3.2. Market size and forecast, by region
- 6.3.3. Market share analysis by country
- 6.4. IoT
- 6.4.1. Key market trends, growth factors and opportunities
- 6.4.2. Market size and forecast, by region
- 6.4.3. Market share analysis by country
- 6.5. Automation
- 6.5.1. Key market trends, growth factors and opportunities
- 6.5.2. Market size and forecast, by region
- 6.5.3. Market share analysis by country
- 6.6. Others
- 6.6.1. Key market trends, growth factors and opportunities
- 6.6.2. Market size and forecast, by region
- 6.6.3. Market share analysis by country
- CHAPTER 7: DIGITAL AGRICULTURE MARKET, BY REGION
- 7.1. Overview
- 7.1.1. Market size and forecast By Region
- 7.2. North America
- 7.2.1. Key market trends, growth factors and opportunities
- 7.2.2. Market size and forecast, by Component
- 7.2.3. Market size and forecast, by Application
- 7.2.4. Market size and forecast, by Technology
- 7.2.5. Market size and forecast, by country
- 7.2.5.1. U.S.
- 7.2.5.1.1. Market size and forecast, by Component
- 7.2.5.1.2. Market size and forecast, by Application
- 7.2.5.1.3. Market size and forecast, by Technology
- 7.2.5.2. Canada
- 7.2.5.2.1. Market size and forecast, by Component
- 7.2.5.2.2. Market size and forecast, by Application
- 7.2.5.2.3. Market size and forecast, by Technology
- 7.3. Europe
- 7.3.1. Key market trends, growth factors and opportunities
- 7.3.2. Market size and forecast, by Component
- 7.3.3. Market size and forecast, by Application
- 7.3.4. Market size and forecast, by Technology
- 7.3.5. Market size and forecast, by country
- 7.3.5.1. UK
- 7.3.5.1.1. Market size and forecast, by Component
- 7.3.5.1.2. Market size and forecast, by Application
- 7.3.5.1.3. Market size and forecast, by Technology
- 7.3.5.2. Germany
- 7.3.5.2.1. Market size and forecast, by Component
- 7.3.5.2.2. Market size and forecast, by Application
- 7.3.5.2.3. Market size and forecast, by Technology
- 7.3.5.3. France
- 7.3.5.3.1. Market size and forecast, by Component
- 7.3.5.3.2. Market size and forecast, by Application
- 7.3.5.3.3. Market size and forecast, by Technology
- 7.3.5.4. Italy
- 7.3.5.4.1. Market size and forecast, by Component
- 7.3.5.4.2. Market size and forecast, by Application
- 7.3.5.4.3. Market size and forecast, by Technology
- 7.3.5.5. Spain
- 7.3.5.5.1. Market size and forecast, by Component
- 7.3.5.5.2. Market size and forecast, by Application
- 7.3.5.5.3. Market size and forecast, by Technology
- 7.3.5.6. Rest of Europe
- 7.3.5.6.1. Market size and forecast, by Component
- 7.3.5.6.2. Market size and forecast, by Application
- 7.3.5.6.3. Market size and forecast, by Technology
- 7.4. Asia-Pacific
- 7.4.1. Key market trends, growth factors and opportunities
- 7.4.2. Market size and forecast, by Component
- 7.4.3. Market size and forecast, by Application
- 7.4.4. Market size and forecast, by Technology
- 7.4.5. Market size and forecast, by country
- 7.4.5.1. China
- 7.4.5.1.1. Market size and forecast, by Component
- 7.4.5.1.2. Market size and forecast, by Application
- 7.4.5.1.3. Market size and forecast, by Technology
- 7.4.5.2. Japan
- 7.4.5.2.1. Market size and forecast, by Component
- 7.4.5.2.2. Market size and forecast, by Application
- 7.4.5.2.3. Market size and forecast, by Technology
- 7.4.5.3. India
- 7.4.5.3.1. Market size and forecast, by Component
- 7.4.5.3.2. Market size and forecast, by Application
- 7.4.5.3.3. Market size and forecast, by Technology
- 7.4.5.4. Australia
- 7.4.5.4.1. Market size and forecast, by Component
- 7.4.5.4.2. Market size and forecast, by Application
- 7.4.5.4.3. Market size and forecast, by Technology
- 7.4.5.5. South Korea
- 7.4.5.5.1. Market size and forecast, by Component
- 7.4.5.5.2. Market size and forecast, by Application
- 7.4.5.5.3. Market size and forecast, by Technology
- 7.4.5.6. Rest O Asia-Pacific
- 7.4.5.6.1. Market size and forecast, by Component
- 7.4.5.6.2. Market size and forecast, by Application
- 7.4.5.6.3. Market size and forecast, by Technology
- 7.5. LAMEA
- 7.5.1. Key market trends, growth factors and opportunities
- 7.5.2. Market size and forecast, by Component
- 7.5.3. Market size and forecast, by Application
- 7.5.4. Market size and forecast, by Technology
- 7.5.5. Market size and forecast, by country
- 7.5.5.1. Latin America
- 7.5.5.1.1. Market size and forecast, by Component
- 7.5.5.1.2. Market size and forecast, by Application
- 7.5.5.1.3. Market size and forecast, by Technology
- 7.5.5.2. Middle East
- 7.5.5.2.1. Market size and forecast, by Component
- 7.5.5.2.2. Market size and forecast, by Application
- 7.5.5.2.3. Market size and forecast, by Technology
- 7.5.5.3. Africa
- 7.5.5.3.1. Market size and forecast, by Component
- 7.5.5.3.2. Market size and forecast, by Application
- 7.5.5.3.3. Market size and forecast, by Technology
- CHAPTER 8: COMPETITIVE LANDSCAPE
- 8.1. Introduction
- 8.2. Top winning strategies
- 8.3. Product mapping of top 10 player
- 8.4. Competitive dashboard
- 8.5. Competitive heatmap
- 8.6. Top player positioning, 2023
- CHAPTER 9: COMPANY PROFILES
- 9.1. John Deere
- 9.1.1. Company overview
- 9.1.2. Key executives
- 9.1.3. Company snapshot
- 9.1.4. Operating business segments
- 9.1.5. Product portfolio
- 9.1.6. Business performance
- 9.2. Trimble Inc.
- 9.2.1. Company overview
- 9.2.2. Key executives
- 9.2.3. Company snapshot
- 9.2.4. Operating business segments
- 9.2.5. Product portfolio
- 9.2.6. Business performance
- 9.3. AGCO Corporation.
- 9.3.1. Company overview
- 9.3.2. Key executives
- 9.3.3. Company snapshot
- 9.3.4. Operating business segments
- 9.3.5. Product portfolio
- 9.3.6. Business performance
- 9.4. Bayer AG
- 9.4.1. Company overview
- 9.4.2. Key executives
- 9.4.3. Company snapshot
- 9.4.4. Operating business segments
- 9.4.5. Product portfolio
- 9.4.6. Business performance
- 9.5. Indigo Ag
- 9.5.1. Company overview
- 9.5.2. Key executives
- 9.5.3. Company snapshot
- 9.5.4. Operating business segments
- 9.5.5. Product portfolio
- 9.6. Agreena ApS
- 9.6.1. Company overview
- 9.6.2. Key executives
- 9.6.3. Company snapshot
- 9.6.4. Operating business segments
- 9.6.5. Product portfolio
- 9.7. ecoRobotix SA
- 9.7.1. Company overview
- 9.7.2. Key executives
- 9.7.3. Company snapshot
- 9.7.4. Operating business segments
- 9.7.5. Product portfolio
- 9.8. IBM Corporation
- 9.8.1. Company overview
- 9.8.2. Key executives
- 9.8.3. Company snapshot
- 9.8.4. Operating business segments
- 9.8.5. Product portfolio
- 9.8.6. Business performance
- 9.9. Microsoft Corporation
- 9.9.1. Company overview
- 9.9.2. Key executives
- 9.9.3. Company snapshot
- 9.9.4. Operating business segments
- 9.9.5. Product portfolio
- 9.9.6. Business performance
- 9.10. Gamaya
- 9.10.1. Company overview
- 9.10.2. Key executives
- 9.10.3. Company snapshot
- 9.10.4. Operating business segments
- 9.10.5. Product portfolio
- 9.11. AgEagle Aerial Systems Inc.
- 9.11.1. Company overview
- 9.11.2. Key executives
- 9.11.3. Company snapshot
- 9.11.4. Operating business segments
- 9.11.5. Product portfolio
- 9.11.6. Business performance
- 9.12. CNH Industrial N.V.
- 9.12.1. Company overview
- 9.12.2. Key executives
- 9.12.3. Company snapshot
- 9.12.4. Operating business segments
- 9.12.5. Product portfolio
- 9.12.6. Business performance
- 9.13. TOPCON CORPORATION
- 9.13.1. Company overview
- 9.13.2. Key executives
- 9.13.3. Company snapshot
- 9.13.4. Operating business segments
- 9.13.5. Product portfolio
- 9.13.6. Business performance
- 9.14. BASF
- 9.14.1. Company overview
- 9.14.2. Key executives
- 9.14.3. Company snapshot
- 9.14.4. Operating business segments
- 9.14.5. Product portfolio
- 9.14.6. Business performance
- 9.15. Digital Agriculture Services Pty Ltd
- 9.15.1. Company overview
- 9.15.2. Key executives
- 9.15.3. Company snapshot
- 9.15.4. Operating business segments
- 9.15.5. Product portfolio
- 9.16. Bosch Global Software Technologies Pvt Ltd.
- 9.16.1. Company overview
- 9.16.2. Key executives
- 9.16.3. Company snapshot
- 9.16.4. Operating business segments
- 9.16.5. Product portfolio
- 9.17. Wipro Limited
- 9.17.1. Company overview
- 9.17.2. Key executives
- 9.17.3. Company snapshot
- 9.17.4. Operating business segments
- 9.17.5. Product portfolio
- 9.17.6. Business performance
- 9.18. YARA International ASA
- 9.18.1. Company overview
- 9.18.2. Key executives
- 9.18.3. Company snapshot
- 9.18.4. Operating business segments
- 9.18.5. Product portfolio
- 9.18.6. Business performance
- 9.19. AGRIVI Ltd.
- 9.19.1. Company overview
- 9.19.2. Key executives
- 9.19.3. Company snapshot
- 9.19.4. Operating business segments
- 9.19.5. Product portfolio
- 9.20. Small Robot Company
- 9.20.1. Company overview
- 9.20.2. Key executives
- 9.20.3. Company snapshot
- 9.20.4. Operating business segments
- 9.20.5. Product portfolio
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