The global smart agriculture market size was valued at USD 22.65 billion in 2023 and is expected to grow at a compound annual growth rate (CAGR) of 13.7% from 2024 to 2030. Increasing automation of commercial greenhouses and growing implementation of the controlled environment agriculture (CEA) concept in greenhouses, in a bid to obtain a higher yield and maintain optimum growing conditions, are the key factors driving demand during the forecast period. Cultivators realize the potential benefits of growing plants inside a greenhouse, which has led to the development of commercial greenhouses. Cultivators have shifted from the conventional lighting systems to LED grow lights as the latter can easily be integrated into a CEA setup. Although LED grows lights are high in cost, they are an ideal option for indoor farming, owing to their long-term benefits in terms of energy efficiency.
Smart agriculture companies are shifting their focus toward the development of equipment that is integrated with advanced sensors and cameras. Key technologies driving the market demand include livestock biometrics, such as RFID, biometrics, and GPS to help cultivators automatically obtain information regarding livestock in real-time. Furthermore, infrastructural health sensors are used for monitoring material conditions and vibrations in buildings, factories, bridges, farms, and other infrastructure. Coupled with an intelligent network, infrastructural health sensors help provide information to the maintenance team in real-time. In addition, agricultural robots are being used to automate farming processes, such as soil maintenance, weeding, fruit picking, harvesting, planting, plowing, and irrigation, among others.
To sustain profits, farmers are increasingly adopting smarter and more efficient agriculture technologies to deliver high-quality products to the smart agriculture market in sufficient quantities. Mobile technology aids in offering innovative types and applications that are used across the agricultural value chain.
Machine-to-Machine (M2M) applications are particularly suited for the agricultural sector, enabling farmers to monitor equipment, assess the environmental impact on production, precisely manage livestock and crops, and keep track of tractors and other agricultural equipment. M2M is an integral part of IoT, which describes the coordination of multiple devices, appliances, and machines connected to the internet through multiple networks.
The Smart Agriculture Market report provides a comprehensive overview of the latest trends and developments in the Agtech market. It delves into the key drivers and challenges shaping the growth of the agricultural technology market, offering valuable insights for stakeholders. The report also explores the potential of smart farming systems and agriculture analytics in revolutionizing agricultural practices and boosting productivity. With accurate market size estimations and insightful predictions, this report is an essential resource for businesses and investors looking to capitalize on the opportunities presented by the evolving agricultural technology landscape.
The smart agriculture market growth stage is moderate. The smart agriculture market is witnessing a significant degree of innovation, marked by the adoption of advanced technologies such as Wi-Fi technology, Zigbee technology, and RF technology and equipment that are integrated with sensors and cameras. The evolving smart agriculture technological landscape highlights that the market players continue to leverage cutting-edge solutions to address challenges and meet the evolving demands of the farmers.
The target market is also characterized by a high level of partnerships and collaborations by the leading players. This is due to several factors, including the need to enhance their offerings and increase geographical reach.
The target market is also subject to increasing regulatory scrutiny. The smart agriculture market faces increasing regulatory scrutiny as governments worldwide focus on enhancing transparency, protecting intellectual property, and safeguarding the data and environment. Stricter law implementation measures and evolving legal frameworks are shaping the regulatory landscape, necessitating adaptability and compliance from companies operating in the dynamic agriculture sector.
While there is a restricted availability of direct substitutes for smart agriculture, alternative methods such as conventional farming can impact the smart agriculture market. Some farmers may choose to continue with conventional farming methods without integrating extensive technologies. Also, this approach may involve fewer technological investments, which is expected to limit the ability to optimize resource use and maximize efficiency.
In 2023, the livestock monitoring segment accounted for a market share of 21.80% of the global smart farming market. Furthermore, the smart farming market has been segmented into precision farming, smart greenhouses, and others. The others segment includes fish farming and horticulture. Precision livestock monitoring supports the real-time monitoring of the health, production, and welfare of livestock to ensure optimal yields. Factors such as the increasing size of dairy farms and rising technological advancements, such as precision livestock monitoring, have urged market players to focus on new product launches and substantial cost savings associated with livestock monitoring management.
The market estimates and forecasts of the smart greenhouse segment includes vertical farming. The smart greenhouse enables farmers to cultivate crops with minimal human intervention. Climatic conditions such as soil moisture, temperature, and humidity are continuously monitored, and any variation observed in them triggers an automated action.
Smart farming is an integrated approach to managing farming activities, such as preserving resources and optimizing yields, by implementing IoT and information communication technologies. Smart farming entails real-time data on the conditions of soil, air, and crops. It aims to ensure the profitability and sustainability of the farm yield while protecting the environment.
Based on offerings, the software segment is likely to portray the highest growth rate from 2024 to 2030. The hardware segment has further been bifurcated into automation & control systems, HVAC systems, LED grow lights, RFID tags & readers, and sensing devices. Automation & control systems are further segmented into application control devices, milking robots, guidance systems, driverless tractors, mobile devices, remote sensing, variable rate technology, drones, and wireless modules.
The growing automation of raw material production and product manufacturing in the dairy and food industry is likely to drive the milking robots segment in the future. Automation technology has improved milk quality and animal welfare. The rising need to reduce labor costs and improve productivity is expected to positively impact the profitability of the dairy & food processing industries. Factors such as increased milk frequency, efficient management of the herd, cow health, and welfare benefits are driving the demand for milking robots.
The drones sub-segment under the automation & control system is expected to witness the highest growth rate during the forecast period. Several types of drones include hybrid and fixed-wing. Fixed-wing drones comprise a rigid wing having a predetermined airfoil, which aids in its flight by generating lift caused by the drone’s forward airspeed. Forward thrust acquired by a propeller, an electric motor, or an internal combustion engine produces this airspeed.
Rotary blade drones comprise single rotor and multi-rotor type drones that revolve around a fixed mast, which enables them to fly in any direction and hover in one place. Hybrid drones can stay in flight for years at a stretch as they operate on multiple sources of energy. Solar panels mounted on the wings of the hybrid drones provide fuel during the flight.
In 2023, the yield monitoring segment held a market share of 43.19%. This is attributable to the growing demand for monitoring crop growth and reducing overall wastage by providing timely required water and minerals. The application of agriculture type includes irrigation management, yield monitoring, crop scouting, field mapping, weather forecasting & tracking, inventory management, and farm labor management. The weather monitoring & forecasting segment is anticipated to witness the highest growth rate during the projected period.
Growing water scarcity and increasing environmental consciousness among consumers have urged the need to modify agricultural management practices conserving natural resources such as soil, air, and water. The irrigation management segment is expected to have considerable growth during the projected period. Precision irrigation offers a combination of solutions and systems to effectively utilize water by matching the irrigation inputs to yields in each area of a field.
The application of smart greenhouses includes water & fertilizer management, HVAC management, yield monitoring, and others. The HVAC management segment is expected to expand significantly during the forecast period as increasing greenhouse farms are employing it. The need for maintaining different temperatures and humidity for hydroponic grow rooms and aquaculture areas drives demand for the HVAC management segment.
Applications of livestock monitoring include milk harvesting, breeding management, feeding management, animal comfort management, and others. According to the Food and Agriculture Organization (FAO), technological advancements in livestock and agricultural production systems will play a significant role in addressing food shortages. Animal comfort management allows farmers to track and manage an animal’s status and well-being. The adoption of automated solutions is expected to overcome the limitations of human labor, thereby providing species-appropriate behavior.
North America dominated the global smart agriculture market with a market share of 44.07% in 2023. It is expected to register a CAGR of 12.3% from 2024 to 2030. Growing government initiatives and regulations to enhance the agriculture industry in the region are expected to drive the North American regional demand during the forecast period. Various agricultural organizations have come together to form the North America Climate Smart Agriculture Alliance (NACSAA), a platform for educating and equipping the cultivators for sustainable agricultural productivity. With the rising concern for water conservation, governments in North America are actively providing subsidies to enhance the applications of smart irrigation. For instance, the government of California has provided a rebate on smart controllers.
The Asia Pacific is anticipated to witness the highest growth during the projected period. Although smart farming is in the adoption stage in this region, the growing government support and rising awareness among cultivators are expected to drive regional demand during the forecast period. For instance, in Japan, the ministry of agriculture has been providing funds for developing precision agriculture. The farmers’ associations and community-based organizations in each country play a major role in promoting sustainable agriculture.
The market for Singapore is also expected to witness considerable growth as 90% of the total food consumption is fulfilled through imports. The growing adoption of organic agriculture among small farmers in South America is likely to enhance the regional market demand during the projected period.
Some of the key players operating in the market include Ag Leader Technology, AGCO Corporation, AgJunction, Inc., AgEagle Aerial Systems Inc., Autonomous Solutions, Inc., Argus Control Systems Ltd, BouMatic Robotic B.V., CropMetrics, CLAAS KGaA mbH, CropZilla, Deere & Company, DICKEY-john, DroneDeploy, DeLaval Inc, Farmers Edge Inc, Grownetics, Inc., Granular, Inc., Gamaya, GEA Group Aktiengesellschaft, Raven Industries, Trimble Inc., Topcon Positioning System among others.
AGCO Corporation is a U.S.-based agriculture equipment manufacturer. The company develops and sells products and solutions such as tractors, combines, foragers, hay tools, self-propelled sprayers, smart farming technologies, seeding equipment, and tillage equipment.
Deere & Company is engaged in the manufacturing & construction of agricultural and forestry machinery; drivetrains and diesel engines for heavy equipment; and lawn care machinery. Additionally, the company also manufactures and provides other heavy manufacturing equipment. The company serves diverse industries such as agriculture, forestry, construction, landscaping & grounds care, engines & drivetrain, government and military, and sports turf.
Prospera Technologies and Agrible, Inc. are some of the emerging market participants in the target market.
Prospera Technologies is a global service provider of agriculture technology for managing and optimizing irrigation and crop health. The company provides AI-based sensors and cameras that aid farmers in crop monitoring.
Agrible is a U.S.-based agriculture solution provider. The company helps customers in more than 30 countries optimize water use, crop protection, fertilization, fieldwork, research trials, food supply chains, and sustainability initiatives
View a comprehensive list of companies in the Smart Agriculture Market
In July 2023, Deere & Company announced the acquisition of Smart Apply, Inc. The company planned to leverage Smart Apply’s precision spraying to assist growers in addressing the challenges associated with input costs, labor, regulatory requirements, and environmental goals.
In April 2023, AGCO Corporation announced a strategic collaboration with Hexagon, for the expansion of AGCO’s factory-fit and aftermarket guidance offerings. The new guidance system was planned to be commercialized as Fuse Guide on Valtra and Massey Ferguson tractors.
In February 2023, Topcon Agriculture unveiled the launch of Transplanting Control, an exceptional guidance control solution for specialty farmers. This turnkey solution was designed to boost efficiency, reduce labor, and proliferate production. Further, it delivers GNSS-driven guidance, autosteering & control, thereby proving advantageous for the growers of perennial trees, vegetables, and fruits.
In January 2023, ASI Logistics in collaboration with SICK, Inc. announced the successful implementation of autonomous yard truck operations. In this collaboration, ASI Logistics leveraged its groundbreaking Vehicle Automation Kit (VAK) along with the industry-leading LiDAR systems of SICK.
In March 2022, Raven announced its business expansion in South Dakota and Arizona to enhance the development of AI-driven technologies for tailoring cutting-edge solutions. The strategy was also aimed at allowing access to a nearby test farm for same-day testing.
In October 2021, BouMatic announced the acquisition of SAC Group to leverage automatic and conventional milking systems. The transaction demonstrated the company’s incessant commitment to delivering best-in-class dairy farm solutions to consumers across the world.
In May 2021, AGCO announced a targeted spraying solutions strategic collaboration with Raven Industries Inc., BASF Digital, and Robert Bosch GmbH. The objective of this deal was to assess the targeted spraying technology for enhancing crop protection product applications by limiting crop input costs and addressing environmental sustainability.
Report Attribute |
Details |
Market size value in 2024 |
USD 25.36 billion |
Revenue forecast in 2030 |
USD 54.71 billion |
Growth Rate |
CAGR of 13.7% from 2024 to 2030 |
Actual Data |
2017 - 2030 |
Forecast period |
2024 - 2030 |
Quantitative units |
Revenue in USD million/billion and CAGR from 2024 to 2030 |
Report coverage |
Revenue forecast, company ranking, competitive landscape, growth factors, and trends |
Segments covered |
Type, offerings, application, region |
Regional scope |
North America, Europe, Asia Pacific, South America, MEA |
Country scope |
U.S.; Canada; Mexico; U.K.; Germany; France; Netherlands, Russia; China; India; Japan; Singapore; Australia; Brazil; Turkey. |
Key companies profiled |
Ag Leader Technology, AGCO Corporation, AgJunction, Inc., AgEagle Aerial Systems Inc., Autonomous Solutions, Inc., Argus Control Systems Ltd, BouMatic Robotic B.V., CropMetrics, CLAAS KGaA mbH, CropZilla, Deere & Company, DICKEY-john, DroneDeploy, DeLaval Inc, Farmers Edge Inc, Grownetics, Inc., Granular, Inc., Gamaya, GEA Group Aktiengesellschaft, Raven Industries, Trimble Inc., Topcon Positioning System. |
Customization scope |
Free report customization (equivalent up to 8 analysts working days) with purchase. Addition or alteration to country, regional & segment scope. |
Pricing and purchase options |
Avail customized purchase options to meet your exact research needs. Explore purchase options |
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2017 to 2030. For this study, Grand View Research has segmented the global smart agriculture market report based on type, offering, application, and region.
Type Outlook (Revenue, USD Million, 2017 - 2030)
Precision farming
Livestock monitoring
Smart greenhouse
Others
Offering Outlook (Revenue, USD Million, 2017 - 2030)
Hardware
Automation & control systems
Drones
Application control devices
Guidance system
GPS
GIS
Remote sensing
Handheld
Satellite sensing
Driverless tractors
Mobile devices
VRT
Map-based
Sensor-based
Wireless modules
Bluetooth technology
Wi-Fi technology
Zigbee technology
RF technology
Milking robots
Sensing devices
Soil sensor
Nutrient sensor
Moisture sensor
Temperature sensor
Water sensors
Climate sensors
Others
HVAC system
LED grow light
RFID tags & readers
Software
Web-based
Cloud-based
Types
System integration & consulting
Maintenance & support
Managed types
Data types
Analytics types
Farm operation types
Assisted professional types
Supply chain management types
Climate information types
Application Outlook (Revenue, USD Million; 2017 - 2030)
Precision farming application
Yield monitoring
On-farm
Off-farm
Field mapping
Crop scouting
Weather tracking & forecasting
Irrigation management
Inventory management
Farm labor management
Livestock monitoring application
Milk harvesting
Breeding management
Feeding management
Animal comfort management
Others
Smart greenhouse application
Water & fertilizer management
HVAC management
Yield monitoring
Others
Others
Regional Outlook (Revenue, USD Billion, 2017 - 2030)
North America
U.S.
Canada
Mexico
Europe
U.K.
Germany
France
Russia
Netherland
Asia Pacific
China
Japan
India
Australia
Singapore
South America
Brazil
Middle East and Africa (MEA)
Turkey
b. The global smart agriculture market size was estimated at USD 20.30 billion in 2022 and is expected to reach USD 22.65 billion in 2023.
b. The global smart agriculture market is expected to grow at a compound annual growth rate of 13.4% from 2023 to 2030 to reach USD 54.71 billion by 2030.
b. North America dominated the smart agriculture market with a share of 44.58% in 2022. This is attributable to favorable government initiatives & regulations that promote the use of state-of-the-art technologies in agricultural practices.
b. Some key players operating in the smart agriculture market include Argus Control Systems Ltd. (Canada), Agribotix LLC (U.S.), Autonomous Solutions, Inc. (U.S.), CNH Industrial (UK), CLAAS (Germany), and CropZilla Software, Inc. (U.S.).
b. Key factors that are driving the smart agriculture market growth include increasing automation of commercial greenhouses and growing adoption of the Controlled Environment Agriculture (CEA) in the indoor farming sector.
Table of Contents
Chapter 1. Methodology and Scope
1.1. Market Segmentation and Scope
1.2. Market Definitions
1.3. Research Methodology
1.3.1. Information Procurement
1.3.2. Information or Data Analysis
1.3.3. Market Formulation & Data Visualization
1.3.4. Data Validation & Publishing
1.4. Research Scope and Assumptions
1.4.1. List of Data Sources
Chapter 2. Executive Summary
2.1. Market Outlook
2.2. Segment Outlook
2.3. Competitive Insights
Chapter 3. Smart Agriculture Market Variables, Trends, & Scope
3.1. Market Introduction/Lineage Outlook
3.2. Industry Value Chain Analysis
3.3. Market Dynamics
3.3.1. Market Drivers Analysis
3.3.2. Market Restraints Analysis
3.3.3. Industry Opportunities
3.3.4. Industry Challenges
3.4. Smart Agriculture Market Analysis Tools
3.4.1. Porter’s Analysis
3.4.1.1. Bargaining power of the suppliers
3.4.1.2. Bargaining power of the buyers
3.4.1.3. Threats of substitution
3.4.1.4. Threats from new entrants
3.4.1.5. Competitive rivalry
3.4.2. PESTEL Analysis
3.4.2.1. Political landscape
3.4.2.2. Economic and Social landscape
3.4.2.3. Technological landscape
3.4.2.4. Environmental landscape
3.4.2.5. Legal landscape
Chapter 4. Smart Agriculture Market: Type Estimates & Trend Analysis
4.1. Segment Dashboard
4.2. Smart Agriculture Market: Type Movement Analysis, USD Billion, 2023 & 2030
4.3. Precision farming
4.3.1. Precision Farming Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
4.4. Livestock monitoring
4.4.1. Livestock Monitoring Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
4.5. Smart greenhouse
4.5.1. Smart Greenhouse Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
4.6. Others
4.6.1. Others Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
Chapter 5. Smart Agriculture Market: Offering Estimates & Trend Analysis
5.1. Segment Dashboard
5.2. Smart Agriculture Market: Offering Movement Analysis, USD Billion, 2023 & 2030
5.3. Hardware
5.3.1. Hardware Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.1. Automation & control systems
5.3.1.2. Automation & Control Systems Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.2.1. Drones
5.3.1.2.2. Drones Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.2.3. Application control devices
5.3.1.2.4. Application control devices Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.2.5. Guidance system
5.3.1.2.6. Guidance system Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.2.6.1. GPS
5.3.1.2.6.2. GPS Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.2.6.3. GIS
5.3.1.2.6.4. GIS Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.2.7. Remote sensing
5.3.1.2.8. Remote sensing Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.2.8.1. Handheld
5.3.1.2.8.2. Handheld Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.2.8.3. Satellite sensing
5.3.1.2.8.4. Satellite sensing Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.2.9. Driverless tractors
5.3.1.2.10. Driverless tractors Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.2.11. Mobile devices
5.3.1.2.12. Mobile devices Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.2.13. VRT
5.3.1.2.14. VRT Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.2.14.1. Map-based
5.3.1.2.14.2. Map-based Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.2.14.3. Sensor-based
5.3.1.2.14.4. Sensor-based Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.2.15. Wireless modules
5.3.1.2.16. Wireless modules Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.2.16.1. Bluetooth technology
5.3.1.2.16.2. Bluetooth technology Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.2.16.3. Wi-Fi technology
5.3.1.2.16.4. Wi-Fi technology Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.2.16.5. Zigbee technology
5.3.1.2.16.6. Zigbee technology Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.2.16.7. RF technology
5.3.1.2.16.8. RF technology Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.2.17. Milking robots
5.3.1.2.18. Milking robots Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.3. Sensing devices
5.3.1.4. Sensing devices Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.4.1. Soil sensor
5.3.1.4.2. Soil sensor Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.4.2.1. Soil sensor
5.3.1.4.2.2. Soil sensor Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.4.2.3. Nutrient sensor
5.3.1.4.2.4. Nutrient sensor Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.4.2.5. Moisture sensor
5.3.1.4.2.6. Moisture sensor Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.4.2.7. Temperature sensor
5.3.1.4.2.8. Temperature sensor Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.4.3. Water sensors
5.3.1.4.4. Water sensors Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.4.5. Climate sensors
5.3.1.4.6. Climate sensors Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.4.7. Others
5.3.1.4.8. Others Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.5. HVAC system
5.3.1.6. HVAC system Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.7. LED grow light
5.3.1.8. LED grow light Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.3.1.9. RFID tags & readers
5.3.1.10. RFID tags & readers Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.4. Software
5.4.1. Software Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.4.1.1. Web-based
5.4.1.2. Web-based Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.4.1.3. Cloud-based
5.4.1.4. Cloud-based Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.5. Types
5.5.1. Types Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.5.1.1. System integration & consulting
5.5.1.2. System integration & consulting Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.5.1.3. Maintenance & support
5.5.1.4. Maintenance & support Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.5.1.5. Managed types
5.5.1.6. Managed types Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.5.1.6.1. Data types
5.5.1.6.2. Data types Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.5.1.6.3. Analytics types
5.5.1.6.4. Analytics types Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.5.1.6.5. Farm operation types
5.5.1.6.6. Farm operation types Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.5.1.7. Assisted professional types
5.5.1.8. Assisted professional types Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.5.1.8.1. Supply chain management types
5.5.1.8.2. Supply chain management types Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.5.1.8.3. Climate information types
5.5.1.8.4. Climate information types Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
Chapter 6. Smart Agriculture Market: Application Estimates & Trend Analysis
6.1. Segment Dashboard
6.2. Smart Agriculture Market: Application Movement Analysis, USD Billion, 2023 & 2030
6.3. Precision farming application
6.3.1. Precision farming application Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
6.3.1.1. Yield monitoring
6.3.1.2. Yield monitoring Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
6.3.1.2.1. On-farm
6.3.1.2.2. On-farm Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
6.3.1.2.3. Off-farm
6.3.1.2.4. Off-farm Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
6.3.1.3. Field mapping
6.3.1.4. Field mapping Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
6.3.1.5. Crop scouting
6.3.1.6. Crop scouting Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
6.3.1.7. Weather tracking & forecasting
6.3.1.8. Weather tracking & forecasting Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
6.3.1.9. Irrigation management
6.3.1.10. Irrigation management Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
6.3.1.11. Inventory management
6.3.1.12. Inventory management Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
6.3.1.13. Farm labor management
6.3.1.14. Farm labor management Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
6.4. Livestock monitoring application
6.4.1. Livestock monitoring application Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
6.4.1.1. Milk harvesting
6.4.1.2. Milk harvesting Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
6.4.1.3. Breeding management
6.4.1.4. Breeding management Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
6.4.1.5. Feeding management
6.4.1.6. Feeding management Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
6.4.1.7. Animal comfort management
6.4.1.8. Animal comfort management Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
6.4.1.9. Others
6.4.1.10. Others Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
6.5. Smart greenhouse application
6.5.1. Smart greenhouse application Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
6.5.1.1. Water & fertilizer management
6.5.1.2. Water & fertilizer management Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
6.5.1.3. HVAC management
6.5.1.4. HVAC management Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
6.5.1.5. Yield monitoring
6.5.1.6. Yield monitoring Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
6.5.1.7. Others
6.5.1.8. Others Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
6.6. Others
6.6.1. Others Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
Chapter 7. Smart Agriculture Market: Regional Estimates & Trend Analysis
7.1. Smart Agriculture Market Share, By Region, 2023 & 2030, USD Billion
7.2. North America
7.2.1. North America Smart Agriculture Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.2.2. North America Smart Agriculture Market Estimates and Forecasts, by Type, 2017 - 2030 (USD Billion)
7.2.3. North America Smart Agriculture Market Estimates and Forecasts, by Offering, 2017 - 2030 (USD Billion)
7.2.4. North America Smart Agriculture Market Estimates and Forecasts, By Application, 2017 - 2030 (USD Billion)
7.2.5. U.S.
7.2.5.1. U.S. Smart Agriculture Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.2.5.2. U.S. Smart Agriculture Market Estimates and Forecasts, by Type, 2017 - 2030 (USD Billion)
7.2.5.3. U.S. Smart Agriculture Market Estimates and Forecasts, by Offering, 2017 - 2030 (USD Billion)
7.2.5.4. U.S. Smart Agriculture Market Estimates and Forecasts, By Application, 2017 - 2030 (USD Billion)
7.2.6. Canada
7.2.6.1. Canada Smart Agriculture Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.2.6.2. Canada Smart Agriculture Market Estimates and Forecasts, by Type, 2017 - 2030 (USD Billion)
7.2.6.3. Canada Smart Agriculture Market Estimates and Forecasts, by Offering, 2017 - 2030 (USD Billion)
7.2.6.4. Canada Smart Agriculture Market Estimates and Forecasts, By Application, 2017 - 2030 (USD Billion)
7.2.7. Mexico
7.2.7.1. Mexico Smart Agriculture Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.2.7.2. Mexico Smart Agriculture Market Estimates and Forecasts, by Type, 2017 - 2030 (USD Billion)
7.2.7.3. Mexico Smart Agriculture Market Estimates and Forecasts, by Offering, 2017 - 2030 (USD Billion)
7.2.7.4. Mexico Smart Agriculture Market Estimates and Forecasts, By Application, 2017 - 2030 (USD Billion)
7.3. Europe
7.3.1. Europe Smart Agriculture Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.3.2. Europe Smart Agriculture Market Estimates and Forecasts, by Type, 2017 - 2030 (USD Billion)
7.3.3. Europe Smart Agriculture Market Estimates and Forecasts, by Offering, 2017 - 2030 (USD Billion)
7.3.4. Europe Smart Agriculture Market Estimates and Forecasts, By Application, 2017 - 2030 (USD Billion)
7.3.5. U.K.
7.3.5.1. U.K. Smart Agriculture Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.3.5.2. U.K. Smart Agriculture Market Estimates and Forecasts, by Type, 2017 - 2030 (USD Billion)
7.3.5.3. U.K. Smart Agriculture Market Estimates and Forecasts, by Offering, 2017 - 2030 (USD Billion)
7.3.5.4. U.K. Smart Agriculture Market Estimates and Forecasts, By Application, 2017 - 2030 (USD Billion)
7.3.6. Germany
7.3.6.1. Germany Smart Agriculture Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.3.6.2. Germany Smart Agriculture Market Estimates and Forecasts, by Type, 2017 - 2030 (USD Billion)
7.3.6.3. Germany Smart Agriculture Market Estimates and Forecasts, by Offering, 2017 - 2030 (USD Billion)
7.3.6.4. Germany Smart Agriculture Market Estimates and Forecasts, By Application, 2017 - 2030 (USD Billion)
7.3.7. France
7.3.7.1. France Smart Agriculture Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.3.7.2. France Smart Agriculture Market Estimates and Forecasts, by Type, 2017 - 2030 (USD Billion)
7.3.7.3. France Smart Agriculture Market Estimates and Forecasts, by Offering, 2017 - 2030 (USD Billion)
7.3.7.4. France Smart Agriculture Market Estimates and Forecasts, By Application, 2017 - 2030 (USD Billion)
7.3.8. Russia
7.3.8.1. Russia Smart Agriculture Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.3.8.2. Russia Smart Agriculture Market Estimates and Forecasts, by Type, 2017 - 2030 (USD Billion)
7.3.8.3. Russia Smart Agriculture Market Estimates and Forecasts, by Offering, 2017 - 2030 (USD Billion)
7.3.8.4. Russia Smart Agriculture Market Estimates and Forecasts, By Application, 2017 - 2030 (USD Billion)
7.3.9. Netherland
7.3.9.1. Netherland Smart Agriculture Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.3.9.2. Netherland Smart Agriculture Market Estimates and Forecasts, by Type, 2017 - 2030 (USD Billion)
7.3.9.3. Netherland Smart Agriculture Market Estimates and Forecasts, by Offering, 2017 - 2030 (USD Billion)
7.3.9.4. Netherland Smart Agriculture Market Estimates and Forecasts, By Application, 2017 - 2030 (USD Billion)
7.4. Asia Pacific
7.4.1. Asia Pacific Smart Agriculture Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.4.2. Asia Pacific Smart Agriculture Market Estimates and Forecasts, by Type, 2017 - 2030 (USD Billion)
7.4.3. Asia Pacific Smart Agriculture Market Estimates and Forecasts, by Offering, 2017 - 2030 (USD Billion)
7.4.4. Asia Pacific Smart Agriculture Market Estimates and Forecasts, By Application, 2017 - 2030 (USD Billion)
7.4.5. China
7.4.5.1. China Smart Agriculture Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.4.5.2. China Smart Agriculture Market Estimates and Forecasts, by Type, 2017 - 2030 (USD Billion)
7.4.5.3. China Smart Agriculture Market Estimates and Forecasts, by Offering, 2017 - 2030 (USD Billion)
7.4.5.4. China Smart Agriculture Market Estimates and Forecasts, By Application, 2017 - 2030 (USD Billion)
7.4.6. Japan
7.4.6.1. Japan Smart Agriculture Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.4.6.2. Japan Smart Agriculture Market Estimates and Forecasts, by Type, 2017 - 2030 (USD Billion)
7.4.6.3. Japan Smart Agriculture Market Estimates and Forecasts, by Offering, 2017 - 2030 (USD Billion)
7.4.6.4. Japan Smart Agriculture Market Estimates and Forecasts, By Application, 2017 - 2030 (USD Billion)
7.4.7. India
7.4.7.1. India Smart Agriculture Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.4.7.2. India Smart Agriculture Market Estimates and Forecasts, by Type, 2017 - 2030 (USD Billion)
7.4.7.3. India Smart Agriculture Market Estimates and Forecasts, by Offering, 2017 - 2030 (USD Billion)
7.4.7.4. India Smart Agriculture Market Estimates and Forecasts, By Application, 2017 - 2030 (USD Billion)
7.4.8. Australia
7.4.8.1. Australia Smart Agriculture Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.4.8.2. Australia Smart Agriculture Market Estimates and Forecasts, by Type, 2017 - 2030 (USD Billion)
7.4.8.3. Australia Smart Agriculture Market Estimates and Forecasts, by Offering, 2017 - 2030 (USD Billion)
7.4.8.4. Australia Smart Agriculture Market Estimates and Forecasts, By Application, 2017 - 2030 (USD Billion)
7.4.9. Singapore
7.4.9.1. Singapore Smart Agriculture Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.4.9.2. Singapore Smart Agriculture Market Estimates and Forecasts, by Type, 2017 - 2030 (USD Billion)
7.4.9.3. Singapore Smart Agriculture Market Estimates and Forecasts, by Offering, 2017 - 2030 (USD Billion)
7.4.9.4. Singapore Smart Agriculture Market Estimates and Forecasts, By Application, 2017 - 2030 (USD Billion)
7.5. South America
7.5.1. South America Smart Agriculture Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.5.2. South America Smart Agriculture Market Estimates and Forecasts, by Type, 2017 - 2030 (USD Billion)
7.5.3. South America Smart Agriculture Market Estimates and Forecasts, by Offering, 2017 - 2030 (USD Billion)
7.5.4. South America Smart Agriculture Market Estimates and Forecasts, By Application, 2017 - 2030 (USD Billion)
7.5.5. Brazil
7.5.5.1. Brazil Smart Agriculture Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.5.5.2. Brazil Smart Agriculture Market Estimates and Forecasts, by Type, 2017 - 2030 (USD Billion)
7.5.5.3. Brazil Smart Agriculture Market Estimates and Forecasts, by Offering, 2017 - 2030 (USD Billion)
7.5.5.4. Brazil Smart Agriculture Market Estimates and Forecasts, By Application, 2017 - 2030 (USD Billion)
7.6. Middle East and Africa
7.6.1. Middle East and Africa Smart Agriculture Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.6.2. Middle East and Africa Smart Agriculture Market Estimates and Forecasts, by Type, 2017 - 2030 (USD Billion)
7.6.3. Middle East and Africa Smart Agriculture Market Estimates and Forecasts, by Offering, 2017 - 2030 (USD Billion)
7.6.4. Middle East and Africa Smart Agriculture Market Estimates and Forecasts, By Application, 2017 - 2030 (USD Billion)
7.6.5. Turkey
7.6.5.1. Turkey Smart Agriculture Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.6.5.2. Turkey Smart Agriculture Market Estimates and Forecasts, by Type, 2017 - 2030 (USD Billion)
7.6.5.3. Turkey Smart Agriculture Market Estimates and Forecasts, by Offering, 2017 - 2030 (USD Billion)
7.6.5.4. Turkey Smart Agriculture Market Estimates and Forecasts, By Application, 2017 - 2030 (USD Billion)
Chapter 8. Competitive Landscape
8.1. Recent Developments & Impact Analysis by Key Market Participants
8.2. Company Categorization
8.3. Company Market Positioning
8.4. Company Market Share Analysis
8.5. Strategy Mapping
8.5.1. Expansion
8.5.2. Mergers & Acquisition
8.5.3. Partnerships & Collaborations
8.5.4. New Offering Launches
8.5.5. Research And Development
8.6. Company Profiles
8.6.1. Ag Leader Technology
8.6.1.1. Participant’s Overview
8.6.1.2. Financial Performance
8.6.1.3. Offering Benchmarking
8.6.1.4. Recent Developments
8.6.2. AGCO Corporation
8.6.2.1. Participant’s Overview
8.6.2.2. Financial Performance
8.6.2.3. Offering Benchmarking
8.6.2.4. Recent Developments
8.6.3. AgJunction, Inc.
8.6.3.1. Participant’s Overview
8.6.3.2. Financial Performance
8.6.3.3. Offering Benchmarking
8.6.3.4. Recent Developments
8.6.4. AgEagle Aerial Systems Inc.
8.6.4.1. Participant’s Overview
8.6.4.2. Financial Performance
8.6.4.3. Offering Benchmarking
8.6.4.4. Recent Developments
8.6.5. Autonomous Solutions, Inc.
8.6.5.1. Participant’s Overview
8.6.5.2. Financial Performance
8.6.5.3. Offering Benchmarking
8.6.5.4. Recent Developments
8.6.6. Argus Control Systems Ltd
8.6.6.1. Participant’s Overview
8.6.6.2. Financial Performance
8.6.6.3. Offering Benchmarking
8.6.6.4. Recent Developments
8.6.7. BouMatic Robotic B.V.
8.6.7.1. Participant’s Overview
8.6.7.2. Financial Performance
8.6.7.3. Offering Benchmarking
8.6.7.4. Recent Developments
8.6.8. CropMetrics LLC
8.6.8.1. Participant’s Overview
8.6.8.2. Financial Performance
8.6.8.3. Offering Benchmarking
8.6.8.4. Recent Developments
8.6.9. CLAAS KGaA mbH
8.6.9.1. Participant’s Overview
8.6.9.2. Financial Performance
8.6.9.3. Offering Benchmarking
8.6.9.4. Recent Developments
8.6.10. CropZilla
8.6.10.1. Participant’s Overview
8.6.10.2. Financial Performance
8.6.10.3. Offering Benchmarking
8.6.10.4. Recent Developments
8.6.11. Deere & Company
8.6.11.1. Participant’s Overview
8.6.11.2. Financial Performance
8.6.11.3. Offering Benchmarking
8.6.11.4. Recent Developments
8.6.12. DICKEY-john
8.6.12.1. Participant’s Overview
8.6.12.2. Financial Performance
8.6.12.3. Offering Benchmarking
8.6.12.4. Recent Developments
8.6.13. DroneDeploy
8.6.13.1. Participant’s Overview
8.6.13.2. Financial Performance
8.6.13.3. Offering Benchmarking
8.6.13.4. Recent Developments
8.6.14. DeLaval Inc
8.6.14.1. Participant’s Overview
8.6.14.2. Financial Performance
8.6.14.3. Offering Benchmarking
8.6.14.4. Recent Developments
8.6.15. Farmers Edge Inc
8.6.15.1. Participant’s Overview
8.6.15.2. Financial Performance
8.6.15.3. Offering Benchmarking
8.6.15.4. Recent Developments
8.6.16. Grownetics, Inc.
8.6.16.1. Participant’s Overview
8.6.16.2. Financial Performance
8.6.16.3. Offering Benchmarking
8.6.16.4. Recent Developments
8.6.17. Granular, Inc.
8.6.17.1. Participant’s Overview
8.6.17.2. Financial Performance
8.6.17.3. Offering Benchmarking
8.6.17.4. Recent Developments
8.6.18. Gamaya
8.6.18.1. Participant’s Overview
8.6.18.2. Financial Performance
8.6.18.3. Offering Benchmarking
8.6.18.4. Recent Developments
8.6.19. GEA Group Aktiengesellschaft
8.6.19.1. Participant’s Overview
8.6.19.2. Financial Performance
8.6.19.3. Offering Benchmarking
8.6.19.4. Recent Developments
8.6.20. Raven Industries
8.6.20.1. Participant’s Overview
8.6.20.2. Financial Performance
8.6.20.3. Offering Benchmarking
8.6.20.4. Recent Developments
8.6.21. Trimble Inc.
8.6.21.1. Participant’s Overview
8.6.21.2. Financial Performance
8.6.21.3. Offering Benchmarking
8.6.21.4. Recent Developments
8.6.22. Topcon Positioning Systems BDP International
8.6.22.1. Participant’s Overview
8.6.22.2. Financial Performance
8.6.22.3. Offering Benchmarking
8.6.22.4. Recent Developments
List of Tables
Table 1 List of Abrevation
Table 2 Global Smart Agriculture Market revenue estimates and forecast, by Type, 2017 - 2030 (USD Billion)
Table 3 Global Smart Agriculture Market revenue estimates and forecast, by Offering, 2017 - 2030 (USD Billion)
Table 4 Global Smart Agriculture Market revenue estimates and forecast, By Application, 2017 - 2030 (USD Billion)
Table 5 Global Smart Agriculture Market revenue, by Region, 2023 & 2030 (USD Billion)
Table 6 North America Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Table 7 North America Smart Agriculture Market estimates & forecasts, by type, 2017 - 2030 (USD Billion)
Table 8 North America Smart Agriculture Market estimates & forecasts, by offering, 2017 - 2030 (USD Billion)
Table 9 North America Smart Agriculture Market estimates & forecasts, by application, 2017 - 2030 (USD Billion)
Table 10 U.S. Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Table 11 U.S. Smart Agriculture Market estimates & forecasts, by type, 2017 - 2030 (USD Billion)
Table 12 U.S. Smart Agriculture Market estimates & forecasts, by offering, 2017 - 2030 (USD Billion)
Table 13 U.S. Smart Agriculture Market estimates & forecasts, by application, 2017 - 2030 (USD Billion)
Table 14 Canada Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Table 15 Canada Smart Agriculture Market estimates & forecasts, by type, 2017 - 2030 (USD Billion)
Table 16 Canada Smart Agriculture Market estimates & forecasts, by offering, 2017 - 2030 (USD Billion)
Table 17 Canada Smart Agriculture Market estimates & forecasts, by application, 2017 - 2030 (USD Billion)
Table 18 Mexico Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Table 19 Mexico Smart Agriculture Market estimates & forecasts, by type, 2017 - 2030 (USD Billion)
Table 20 Mexico Smart Agriculture Market estimates & forecasts, by offering, 2017 - 2030 (USD Billion)
Table 21 Mexico Smart Agriculture Market estimates & forecasts, by application, 2017 - 2030 (USD Billion)
Table 22 Europe Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Table 23 Europe Smart Agriculture Market estimates & forecasts, by type, 2017 - 2030 (USD Billion)
Table 24 Europe Smart Agriculture Market estimates & forecasts, by offering, 2017 - 2030 (USD Billion)
Table 25 Europe Smart Agriculture Market estimates & forecasts, by application, 2017 - 2030 (USD Billion)
Table 26 U.K. Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Table 27 U.K. Smart Agriculture Market estimates & forecasts, by type, 2017 - 2030 (USD Billion)
Table 28 U.K. Smart Agriculture Market estimates & forecasts, by offering, 2017 - 2030 (USD Billion)
Table 29 U.K. Smart Agriculture Market estimates & forecasts, by application, 2017 - 2030 (USD Billion)
Table 30 Germany Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Table 31 Germany Smart Agriculture Market estimates & forecasts, by type, 2017 - 2030 (USD Billion)
Table 32 Germany Smart Agriculture Market estimates & forecasts, by offering, 2017 - 2030 (USD Billion)
Table 33 Germany Smart Agriculture Market estimates & forecasts, by application, 2017 - 2030 (USD Billion)
Table 34 France Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Table 35 France Smart Agriculture Market estimates & forecasts, by type, 2017 - 2030 (USD Billion)
Table 36 France Smart Agriculture Market estimates & forecasts, by offering, 2017 - 2030 (USD Billion)
Table 37 France Smart Agriculture Market estimates & forecasts, by application, 2017 - 2030 (USD Billion)
Table 38 Russia Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Table 39 Russia Smart Agriculture Market estimates & forecasts, by type, 2017 - 2030 (USD Billion)
Table 40 Russia Smart Agriculture Market estimates & forecasts, by offering, 2017 - 2030 (USD Billion)
Table 41 Russia Smart Agriculture Market estimates & forecasts, by application, 2017 - 2030 (USD Billion)
Table 42 Netherland Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Table 43 Netherland Smart Agriculture Market estimates & forecasts, by type, 2017 - 2030 (USD Billion)
Table 44 Netherland Smart Agriculture Market estimates & forecasts, by offering, 2017 - 2030 (USD Billion)
Table 45 Netherland Smart Agriculture Market estimates & forecasts, by application, 2017 - 2030 (USD Billion)
Table 46 Asia Pacific Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Table 47 Asia Pacific Smart Agriculture Market estimates & forecasts, by type, 2017 - 2030 (USD Billion)
Table 48 Asia Pacific Smart Agriculture Market estimates & forecasts, by offering, 2017 - 2030 (USD Billion)
Table 49 Asia Pacific Smart Agriculture Market estimates & forecasts, by application, 2017 - 2030 (USD Billion)
Table 50 China Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Table 51 China Smart Agriculture Market estimates & forecasts, by type, 2017 - 2030 (USD Billion)
Table 52 China Smart Agriculture Market estimates & forecasts, by offering, 2017 - 2030 (USD Billion)
Table 53 China Smart Agriculture Market estimates & forecasts, by application, 2017 - 2030 (USD Billion)
Table 54 India Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Table 55 India Smart Agriculture Market estimates & forecasts, by type, 2017 - 2030 (USD Billion)
Table 56 India Smart Agriculture Market estimates & forecasts, by offering, 2017 - 2030 (USD Billion)
Table 57 India Smart Agriculture Market estimates & forecasts, by application, 2017 - 2030 (USD Billion)
Table 58 Japan Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Table 59 Japan Smart Agriculture Market estimates & forecasts, by type, 2017 - 2030 (USD Billion)
Table 60 Japan Smart Agriculture Market estimates & forecasts, by offering, 2017 - 2030 (USD Billion)
Table 61 Japan Smart Agriculture Market estimates & forecasts, by application, 2017 - 2030 (USD Billion)
Table 62 Australia Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Table 63 Australia Smart Agriculture Market estimates & forecasts, by type, 2017 - 2030 (USD Billion)
Table 64 Australia Smart Agriculture Market estimates & forecasts, by offering, 2017 - 2030 (USD Billion)
Table 65 Australia Smart Agriculture Market estimates & forecasts, by application, 2017 - 2030 (USD Billion)
Table 66 Australia Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Table 67 Australia Smart Agriculture Market estimates & forecasts, by type, 2017 - 2030 (USD Billion)
Table 68 Australia Smart Agriculture Market estimates & forecasts, by offering, 2017 - 2030 (USD Billion)
Table 69 Australia Smart Agriculture Market estimates & forecasts, by application, 2017 - 2030 (USD Billion)
Table 70 Singapore Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Table 71 Singapore Smart Agriculture Market estimates & forecasts, by type, 2017 - 2030 (USD Billion)
Table 72 Singapore Smart Agriculture Market estimates & forecasts, by offering, 2017 - 2030 (USD Billion)
Table 73 SIngapore Smart Agriculture Market estimates & forecasts, by application, 2017 - 2030 (USD Billion)
Table 74 South America Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Table 75 South America Smart Agriculture Market estimates & forecasts, by type, 2017 - 2030 (USD Billion)
Table 76 South America Smart Agriculture Market estimates & forecasts, by offering, 2017 - 2030 (USD Billion)
Table 77 South America Smart Agriculture Market estimates & forecasts, by application, 2017 - 2030 (USD Billion)
Table 78 Brazil Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Table 79 Brazil Smart Agriculture Market estimates & forecasts, by type, 2017 - 2030 (USD Billion)
Table 80 Brazil Smart Agriculture Market estimates & forecasts, by offering, 2017 - 2030 (USD Billion)
Table 81 Brazil Smart Agriculture Market estimates & forecasts, by application, 2017 - 2030 (USD Billion)
Table 82 Middle East & Africa Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Table 83 Middle East & Africa Smart Agriculture Market estimates & forecasts, by type, 2017 - 2030 (USD Billion)
Table 84 Middle East & Africa Smart Agriculture Market estimates & forecasts, by offering, 2017 - 2030 (USD Billion)
Table 85 Middle East & Africa Smart Agriculture Market estimates & forecasts, by application, 2017 - 2030 (USD Billion)
Table 86 Turkey Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Table 87 Turkey Smart Agriculture Market estimates & forecasts, by type, 2017 - 2030 (USD Billion)
Table 88 Turkey Smart Agriculture Market estimates & forecasts, by offering, 2017 - 2030 (USD Billion)
Table 89 Turkey Smart Agriculture Market estimates & forecasts, by application, 2017 - 2030 (USD Billion)
Table 90 Participant’s Overview
Table 91 Financial Performance
Table 92 Offering Benchmarking
Table 93 Key companies undergoing expansion
Table 94 Key companies involved in mergers & acquisitions
Table 95 Key companies undertaking partnerships and collaboration
Table 96 Key companies launching new product/type launches
List of Figures
Fig. 1 Smart Agriculture Market segmentation
Fig. 2 Information procurement
Fig. 3 Data analysis models
Fig. 4 Market formulation and validation
Fig. 5 Data validating & publishing
Fig. 6 Market snapshot
Fig. 7 Segment snapshot, by Type and Offering
Fig. 8 Segment snapshot By Application
Fig. 9 Competitive landscape snapshot
Fig. 10 Smart Agriculture Market value, 2017-2030 (USD Billion)
Fig. 11 Smart Agriculture Market - Industry value chain analysis
Fig. 12 Smart Agriculture Market - Market trends
Fig. 13 Smart Agriculture Market: Porter’s analysis
Fig. 14 Smart Agriculture Market: PESTEL analysis
Fig. 15 Smart Agriculture Market, by Type: Key takeaways
Fig. 16 Smart Agriculture Market, by Type: Market share, 2023 & 2030
Fig. 17 Precision farming Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 18 Livestock monitoring Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 19 Smart greenhouse Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 20 Others Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 21 Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 22 Smart Agriculture Market, by Offering: Key takeaways
Fig. 23 Smart Agriculture Market, by Offering: Market share, 2023 & 2030
Fig. 24 Hardware Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 25 Hardware Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 26 Automation & control systems Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 27 Drones Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 28 Application control devices Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 29 Guidance system Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 30 GPS Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 31 GIS Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 32 Remote sensing Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 33 Handheld Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 34 Satellite sensing Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 35 Driverless tractors Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 36 Mobile devices Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 37 VRT Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 38 Map-based Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 39 Sensor-based Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 40 Wireless modules Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 41 Bluetooth technology Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 42 Wi-Fi technology Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 43 Zigbee technology Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 44 RF technology Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 45 Milking robots Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 46 Sensing devices Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 47 Soil sensor Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 48 Nutrient sensor Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 49 Moisture sensor Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 50 Temperature sensor Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 51 Water sensors Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 52 Climate sensors Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 53 Others Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 54 HVAC system Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 55 LED grow light Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 56 RFID tags & readers Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 57 Software Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 58 Web-based Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 59 Cloud-based Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 60 Services Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 61 System integration & consulting Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 62 Maintenance & support Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 63 Managed types Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 64 Data types Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 65 Analytics types Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion) Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 66 Farm operation types Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 67 Assisted professional types Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 68 Supply chain management types Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 69 Climate information types Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 70 Smart Agriculture Market, By Application: Key takeaways
Fig. 71 Smart Agriculture Market, By Application: Market share, 2023 & 2030
Fig. 72 Precision farming Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 73 Yield monitoring Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 74 On-farm Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 75 Off-farm Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 76 Field mapping Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 77 Crop scouting Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 78 Weather tracking & forecasting Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 79 Irrigation management Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 80 Inventory management Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 81 Farm labor management Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 82 Livestock monitoring application Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 83 Milk harvesting Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 84 Breeding management Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 85 Feeding management Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 86 Animal comfort management Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 87 Others Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 88 Smart greenhouse application Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 89 Water & fertilizer management Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 90 HVAC management Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 91 Yield monitoring Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 92 Others Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 93 Others Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 94 Global Smart Agriculture Market revenue, by Region, 2023 & 2030 (USD Billion)
Fig. 95 North America Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 96 U.S. Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 97 Canada Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 98 Mexico Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 99 Europe Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 100 U.K. Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 101 Germany Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 102 France Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 103 Russia Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 104 Netherland Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 105 Asia Pacific Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 106 China Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 107 India Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 108 Japan Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 109 Australia Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 110 Singapore Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 111 Brazil Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 112 Middle East & Africa Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 113 Turkey Smart Agriculture Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 114 Key company categorization
Fig. 115 Smart Agriculture Market — Key company market share analysis, 2023
Fig. 116 Strategic framework
Market segmentation
Report content
Qualitative Analysis
Quantitative Analysis
A three-pronged approach was followed for deducing the smart agriculture market estimates and forecasts. The process has three steps: information procurement, analysis, and validation. The whole process is cyclical, and steps repeat until the estimates are validated. The three steps are explained in detail below:
Information procurement: Information procurement is one of the most extensive and important stages in our research process, and quality data is critical for accurate analysis. We followed a multi-channel data collection process for smart agriculture market to gather the most reliable and current information possible.
Analysis: We mine the data collected to establish baselines for forecasting, identify trends and opportunities, gain insight into consumer demographics and drivers, and so much more. We utilized different methods of smart agriculture market data depending on the type of information we’re trying to uncover in our research.
Market Research Efforts: Bottom-up Approach for estimating and forecasting demand size and opportunity, top-down Approach for new product forecasting and penetration, and combined approach of both Bottom-up and Top-down for full coverage analysis.
Value-Chain-Based Sizing & Forecasting: Supply-side estimates for understanding potential revenue through competitive benchmarking, forecasting, and penetration modeling.
Demand-side estimates for identifying parent and ancillary markets, segment modeling, and heuristic forecasting.
Qualitative Functional Deployment (QFD) Modelling for market share assessment.
Market formulation and validation: We mine the data collected to establish baselines for forecasting, identify trends and opportunities, gain insight into consumer demographics and drivers, and so much more. We utilize different methods of data analysis depending on the type of information we’re trying to uncover in our research.
Market Formulation: This step involves the finalization of market numbers. This step on an internal level is designed to manage outputs from the Data Analysis step.
Data Normalization: The final market estimates and forecasts are then aligned and sent to industry experts, in-panel quality control managers for validation.
This step also entails the finalization of the report scope and data representation pattern.
Validation: The process entails multiple levels of validation. All these steps run in parallel, and the study is forwarded for publishing only if all three levels render validated results.
The smart agriculture market was categorized into four segments, namely type (Precision farming, Livestock monitoring, Smart greenhouse), offerings (Hardware, Software, Services), application (Precision farming application, Livestock monitoring application, Smart greenhouse application), and region (North America, Europe, Asia Pacific, South America, Middle East & Africa).
The smart agriculture market was segmented into type, offerings, application, and regions. The demand at a segment level was deduced using a funnel method. Concepts like the TAM, SAM, SOM, etc., were put into practice to understand the demand. We at GVR deploy three methods to deduce market estimates and determine forecasts. These methods are explained below:
Demand estimation of each product across countries/regions summed up to from the total market.
Variable analysis for demand forecast.
Demand estimation via analyzing paid database, and company financials either via annual reports or paid database.
Primary interviews for data revalidation and insight collection.
Used extensively for new product forecasting or analyzing penetration levels.
Tool used invoice product flow and penetration models Use of regression multi-variant analysis for forecasting Involves extensive use of paid and public databases.
Primary interviews and vendor-based primary research for variable impact analysis.
The smart agriculture market was analyzed at a regional level. The global was divided into North America, Europe, Asia Pacific, South America, and Middle East & Africa, keeping in focus variables like consumption patterns, export-import regulations, consumer expectations, etc. These regions were further divided into fifteen countries, namely, the U.S.; Canada; Mexico; the UK.; Germany; France; Netherlands, Russia; China; India; Japan; Singapore; Australia; Brazil; Turkey.
All three above-mentioned market research methodologies were applied to arrive at regional-level conclusions. The regions were then summed up to form the global market.
The smart agriculture market was analyzed via companies operating in the sector. Analyzing these companies and cross-referencing them to the demand equation helped us validate our assumptions and conclusions. Key market players analyzed include:
Ag Leader Technology, Ag Leader Technology is an American technology business focused on agriculture. Precision farming involves the creation and production of agricultural goods. It provides a wide range of options based on technologies used in precision farming. Additionally, the firm offers data management tools, such as SMS and AgFiniti, for precision farming. Displays, guiding and steering systems, seed command systems, and yield monitoring systems are some of the products it offers. It offers solutions for managing data, planting, applying, harvesting, and managing water. Ag Leader Technology has its headquarters in the United States and was established in 1992. The corporation is privately held and has a vast global dealer network.
AGCO Corporation, Farming equipment manufacturer AGCO Corporation is headquartered in the U.S. and offers a variety of goods to help farmers. Self-propelled sprayers, hay tools, combine harvesters, tractors, and implements for fodder are among the products offered by the firm. In the New York Stock Exchange, AGCO Corporation is listed under the ticker symbol NYSE: AGCO. Grains, oilseeds, cotton, dairy, cattle, forages, poultry, coffee, barley, rice, sugarcane, and palm oil are all produced with the help of AGCO Corporation's network of sales, manufacturing, assembly, distribution, and administrative facilities. Core brands including Fendt, Challenger, Massey Ferguson, and Valtra are used to market the company's goods. Sunflower, AGCO Parts, AGCO Power, AGCO Trader, Fella, Fuse, Gleaner, and White Planters are some of the company's other brands. Tractors, Combines, Application Equipment, Grains Storage, Seed Processing, Protein Production Equipment, Replacement Parts, and Other Machinery are the six categories into which the firm divides its activities. The whole lineup of AGCO's utility tractor line consists of both two-wheel and all-wheel drivetrain models.
AgJunction, Inc., AgJunction, Inc. is a technology business established in the U.S. that works with agriculture. It is engaged in the creation and production of agricultural goods needed for precision farming. Precision agricultural software and hardware are provided by the firm. It has many patents related to technologies used in precision farming. Precision navigation and machine control systems and tools, aerial application solutions, and so forth are some of its main product offerings. It also provides a framework for precise data management for application control and guiding systems.
AgEagle Aerial Systems Inc., AgEagle Aerial Systems Inc. is in the business of manufacturing and running cutting-edge drone systems and solutions. In addition, the firm offers farming professionals aerial imagery-based data analytics solutions and advanced fixed-wing drones. Furthermore, the business's cutting-edge data collection and analytics technology has processed more than two million acres of 53 distinct crop varieties, assessed data from more than 50 nations, and created more than 11,000 harvest reports for its clients. Drone Manufacturing, Drone Solutions, and Agriculture Solutions are the three key emphasis areas on which the firm bases its aims. Leading businesses in the agriculture sector are served by the company's production of cutting-edge drones, sensors, and data analytics systems. The company designs, develops, fabricates, assembles, and evaluates commercial drones for its clients through drone manufacturing. The business is a top supplier of tailored drone solutions, giving it a unique platform and an edge over rivals in the drone market.
Autonomous Solutions, Inc., Based in the United States, Autonomous Solutions, Inc. is an OEM independent manufacturer of automation technologies. The business creates and produces unmanned vehicles and related parts for use in the mining, agricultural, automotive, and military industries. The platforms that the corporation offers include Forge, NAV, VANTAGE, and MOBIUS. It provides the SAE AS-4 protocol-based robotics software solution Mobius Command for unmanned vehicles. Applications for Mobius Command may be found in a wide range of sectors, including mining, construction, agriculture, automobile testing, and the military. The corporation expands its product line through a variety of inorganic growth tactics, including periodic mergers and acquisitions.
Argus Control Systems Ltd., A Canadian business, Argus Control Systems Ltd. is one of the subsidiaries of Controlled Environment Ltd. The organization supplies automated control systems to the aquaculture, horticulture, and other biotechnology sectors. Multi-feed Nutrient Injection Systems, Line Voltage Interfacing Equipment, and Argus Systems are among the products that the firm offers. To enable thorough monitoring and equipment automation, the Argus System consists of hardware modules and software programs. Regional resellers, authorized installers, and system integrators are the channels by which Argus Control Systems Ltd. distributes its goods. But among North American companies, this one has the most installations. Bioscience research, commercial horticulture, cannabis production, aquaculture and aquaponics, forest seeding, and greenhouse vegetable and ornamental plant production are just a few of the industrial uses for its products. The organization provides on-site services, emergency help, troubleshooting assistance, and remote support.
BouMatic Robotic B.V., BouMatic Robotic B.V. is a manufacturer of dairying systems and agricultural equipment. The company offers dairy equipment replacement parts, milking parlors, milk chilling devices, cow healthcare items, hoof care products, and equipment for managing herds. The firm also sells dairy robot systems, milk harvest systems, cow traffic systems, and automation systems. Distributors are used by it to market its goods. Training and maintenance are among the services that the organization offers.
CropMetrics, CropMetrics is a commercial firm established in the U.S. that offers agronomic goods and services. Focusing on irrigation applications, it develops and supplies precision agriculture systems. Moreover, the business creates and markets formula-based management packages that include expert data processing, customized agronomic software, wireless VRT compatibility, and training and advice for GIS software. To enhance irrigation facilities and irrigation management, it creates and designs innovative products and solutions. The U.S.-based company CropMetrics was founded in the year 2009. Creating precise irrigation systems is its area of expertise. With agro-based merchants, crop advisors, and well-known providers of precision agricultural technologies, it has solid ties. A prominent provider of soil and agricultural analytics, CropX, purchased CropMetrics in January 2020.
CLAAS KGaA mbH, With its headquarters in Germany, CLAAS KGaA mbh produces agricultural equipment. Forage harvesting equipment, telehandlers, square bladers, tractors, combines, and transplanters are among the products offered by the firm. In addition to filters, the firm offers shear bars, chains, ball bearings, spring tines, lubricants, workshop supplies, bale calculators, knife grinders, and batteries as part of their crop packing products.
CropZilla, CropZilla is a new farm management software firm established in the United States. The software provided by the firm enables cultivators to schedule the acquisition of a range of inputs, including fuels, seeds, fertilizers, and crop protection items. Digital models of farms are created by CropZilla Software, Inc. to improve operations based on cost and timeliness. Additionally, the program aids in maximizing the utilization of personnel and farm equipment. Furthermore, it is anticipated that the "what-if" scenarios would assist farmers in maximizing revenues following the season.
Supply Side Estimates
Company revenue estimation via referring to annual reports, investor presentations, and Hoover’s.
Segment revenue determination via variable analysis and penetration modeling.
Competitive benchmarking to identify market leaders and their collective revenue shares.
Forecasting via analyzing commercialization rates, pipelines, market initiatives, distribution networks, etc.
Demand side estimates
Identifying parent markets and ancillary markets
Segment penetration analysis to obtain pertinent
revenue/volume
Heuristic forecasting with the help of subject matter experts
Forecasting via variable analysis
Understanding market dynamics (in terms of drivers, restraints, & opportunities) in the countries.
Understanding trends & variables in the individual countries & their impact on growth and using analytical tools to provide high-level insights into the market dynamics and the associated growth pattern.
Understanding market estimates and forecasts (with the base year as 2022, historic information from 2017 to 2021, and forecast from 2023 to 2030). Regional estimates & forecasts for each category are available and are summed up to form the global market estimates.
The report provides market value for the base year 2022 and a yearly forecast till 2030 in terms of revenue/volume or both. The market for each of the segment outlooks has been provided on region & country basis for the above-mentioned forecast period.
The key industry dynamics, major technological trends, and application markets are evaluated to understand their impact on the demand for the forecast period. The growth rates were estimated using correlation, regression, and time-series analysis.
We have used the bottom-up approach for market sizing, analyzing key regional markets, dynamics, & trends for various products and end-users. The total market has been estimated by integrating the country markets.
All market estimates and forecasts have been validated through primary interviews with the key industry participants.
Inflation has not been accounted for to estimate and forecast the market.
Numbers may not add up due to rounding off.
Europe consists of EU-8, Central & Eastern Europe, along with the Commonwealth of Independent States (CIS).
Asia Pacific includes South Asia, East Asia, Southeast Asia, and Oceania (Australia & New Zealand).
Latin America includes Central American countries and the South American continent
Middle East includes Western Asia (as assigned by the UN Statistics Division) and the African continent.
GVR strives to procure the latest and unique information for reports directly from industry experts, which gives it a competitive edge. Quality is of utmost importance to us, therefore every year we focus on increasing our experts’ panel. Primary interviews are one of the critical steps in identifying recent market trends and scenarios. This process enables us to justify and validate our market estimates and forecasts to our clients. With more than 8,000 reports in our database, we have connected with some key opinion leaders across various domains, including healthcare, technology, consumer goods, and the chemical sector. Our process starts with identifying the right platform for a particular type of report, i.e., emails, LinkedIn, seminars, or telephonic conversation, as every report is unique and requires a differentiated approach.
We send out questionnaires to different experts from various regions/ countries, which is dependent on the following factors:
Report/Market scope: If the market study is global, we send questionnaires to industry experts across various regions, including North America, Europe, Asia Pacific, Latin America, and MEA.
Market Penetration: If the market is driven by technological advancements, population density, disease prevalence, or other factors, we identify experts and send out questionnaires based on region or country dominance.
The time to start receiving responses from industry experts varies based on how niche or well-penetrated the market is. Our reports include a detailed chapter on the KoL opinion section, which helps our clients understand the perspective of experts already in the market space.
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