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The Smart Agriculture Market size was valued at USD 16.1 Billion in 2023 and is expected to grow to USD 36.73 Billion by 2032 and grow at a CAGR of 9.6 % over the forecast period of 2024-2032.
Agriculture is facing intense pressure. The FAO predicts that a 70% increase in food production will be needed by 2050 to feed a population of 9.1 billion, as the climate crisis continues to impact supply chains. This is the point where advanced agricultural practices, utilizing technologies such as AI, become involved. The demand for higher productivity and efficiency in a shifting climate is fueling this growth. AI assists farmers in forecasting weather patterns several months ahead, enabling them to prepare for unforeseeable weather conditions. It also assesses the health of the soil, an essential yet slowly renewing asset, guaranteeing sustainability in the long run. With one-third of the planet's soil already deteriorating, the importance of AI in soil management is increasingly vital. Climate change is not only a concern for the environment, but also a chance for business growth. Public-private partnerships are essential for expanding Smart Agriculture solutions, not only for ensuring food security, but also for seizing the USD 1 trillion climate adaptation opportunity across various sectors. By embracing AI-driven technologies, businesses in the food and beverage industry can enhance supply chain resilience and reduce greenhouse gas emissions, benefiting both their bottom line and the environment.
Africa, holding 36% of arable land worldwide, experiences both food insecurity and the effects of climate change. Immediate action is required due to the agri-food sector's significant role in contributing one-third of global emissions. Climate-Smart Agriculture (CSA) is seen as a solution, with the goal of increasing productivity, enhancing climate resilience, and cutting emissions. The Smart Agriculture market worldwide is ready for substantial expansion, propelled by technologies that tackle these obstacles. As the industry progresses, sustainable agriculture relies on advancements such as solar energy, as demonstrated through LONGi's involvement in the China-Africa-UN High-Level Dialogue. It is anticipated that the Smart Agriculture industry will reach USD 25.4 billion by the year 2028 due to the increasing focus on technologies that align with CSA's objectives of enhancing food security, addressing climate change, and minimizing environmental harm.
Market Dynamics
Drivers
Decreasing Price of Solar Energy Drives Adoption of Smart Agriculture Technologies
Technological advancements have significantly reduced the cost of solar power, making it a major market driver for the Smart Agriculture industry. Solar energy is now significantly more affordable and clean with a 90% decrease in Levelized Cost of Electricity (LCOE) from ten cents to just one to two cents per kilowatt-hour in areas like Africa. This economic benefit drives the incorporation of solar technology into farming methods, allowing farmers to embrace smart agricultural solutions. LONGi's Hi-MO 9 module emphasizes the advancement in solar technology, with an efficiency of 24.4% and a 6.5-8% increase in power generation on the same land area, solidifying its status as a practical and appealing choice for powering agricultural activities. The decrease in costs, along with rising energy needs in the agricultural sector, is speeding up the acceptance of smart agricultural technologies. This is fueling the expansion of the Smart Agriculture industry, forecasted to hit USD 25.4 billion by 2028.
Transformation of smallholder farming into digital form.
The use of smart, digital, and precision agricultural technologies is a crucial factor driving the Smart Agriculture industry. In low-income countries, the majority of the world's half-billion farms are less than two hectares in size, presenting a huge opportunity for technology-driven growth with over 80% prevalence. Despite their small size, these small farms make a significant contribution to global food production, making up 80% of the food supply in Asia and sub-Saharan Africa. The productivity of these farms can be greatly improved by using technologies such as mobile apps, sensors, drones, and digital platforms to fill information gaps and optimize efficiencies. Although big farms in wealthy nations have already seen the advantages of these advancements, there is enormous potential to transform small-scale farming in developing countries. This factor in the market is essential for promoting sustainable agriculture, enhancing well-being, and supporting the overall objective of attaining the Sustainable Development Goals (SDGs) by 2030.
Restraints
Climate Change and Deforestation are worsening Agricultural difficulties.
The growing climate crisis presents a major obstacle for Smart Agriculture in at-risk areas such as Madagascar. Severe weather occurrences, like droughts and cyclones, disturb agricultural production, livelihoods, and food security. Farmers contribute to the worsening of climate change by turning to deforestation in order to increase their land, creating a harmful cycle. The interaction of climate change and deforestation obstructs the implementation of sustainable farming practices and reduces the impact of innovative agriculture solutions. Nearly 1/3 of Madagascar's population experiencing food insecurity highlights the urgent requirement for resilient and adaptive agricultural tactics, making the challenge more evident. Despite some progress shown by initiatives from Conservation International and the UN Green Climate Fund, it is essential to widely adopt climate-Smart Agriculture to address this market barrier and guarantee food security in the midst of a changing climate.
Challenges in Smart Agriculture due to the Digital Divide and Infrastructure Issues
The main obstacle for Smart Agriculture in developing countries is the noticeable lack of connectivity and infrastructure in rural areas. Small-scale farmers encounter various obstacles when it comes to embracing digital technologies, such as lack of digital skills, inconsistent internet access, and expensive equipment and services. The adoption of data-driven insights is often hindered by the complexity of data management and analysis, which typically necessitates specialized knowledge. Furthermore, the conventional agricultural supply chain, known for its lack of standardization and reliance on physical markets, presents challenges for incorporating e-commerce. The lack of necessary infrastructure such as roads, warehouses, and transportation systems in various areas worsens these issues, restricting the effectiveness of digital solutions and disrupting the efficient transportation of agricultural goods to markets. The convergence of these factors results in a challenging landscape that hinders the extensive implementation of smart agricultural technologies and hampers the growth of the industry.
Segment Analysis
By Offering
Offering-wise, Software was the dominant force in the Smart Agriculture market, boasting a substantial 56% share in 2023. The reason for this supremacy lies in the fact that smart farming is driven by data. Picture a farmer using software as a digital compass to steer them through key decisions. Farm management software serves as a guide by gathering and evaluating information from sensors, drones, and various other sources. This information enables farmers to make accurate decisions, from planting and irrigation to pest management. The growth of IoT devices and sensors in farming has also boosted the software industry. These sensors function as virtual vision and hearing organs, consistently producing information that must be gathered and analyzed. Farm management software converts raw data into useful insights, allowing farmers to closely oversee and manage all aspects of their operations. Basically, software acts as the intelligence behind the smart farming evolution.
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By Application
Based on Application , Precision Farming dominated the Smart Agriculture market with 42% of share in 2023. This superiority stems from its capacity to convert conventional agriculture into an efficient and fruitful process. Picture a farmer carefully adjusting their methods for every part of their field, much like a talented artist sculpting a work of art. Precision farming enables farmers to optimize water, fertilizers, and pesticides usage with surgical precision, allowing them to do exactly that. Major reductions in expenses, heightened profitability, and increased crop production. By applying fertilizers only in areas where necessary, farmers can minimize waste and environmental harm while enhancing crop well-being. Precision farming goes beyond technology; it is a strategic method to optimize yield with scarce resources. As the global population continues to rise and the need for more food increases, precision farming is becoming increasingly important for guaranteeing food security and sustainability.
By Regional Analysis
North America dominated the Smart Agriculture market with 36% of share in 2023. The strong agricultural industry in this area, combined with a keen interest in technological advancement, has established a supportive environment for innovative farming solutions. John Deere and Trimble are leading the way by providing cutting-edge equipment and software to enhance farm operations. The emphasis on sustainability and efficiency, motivated by environmental issues, is in line with the objectives of smart farming. Government actions and large investments in agri-tech continue to boost market expansion. As the world faces increasing food demands, North America's implementation of smart agricultural techniques sets an example for other areas to emulate.
Asia Pacific is the second largest fastest growing region with 26% of share in 2023. The Asia Pacific region is undergoing a swift agricultural evolution supported by advanced technologies such as variable rate technology, intelligent irrigation systems, and AI-driven analytics. This rapid advancement in technology is supported by a thriving livestock and aquaculture sector, requiring automation and intelligent farming solutions. The increasing population in the region, especially in countries such as China and India, is leading to higher meat consumption, which is driving market growth even more. An example of this is the significant increase in cattle populations in China by 3% and in India by 0.4% in 2022, highlighting the growing need for livestock items. Asia Pacific is establishing itself as a top player in smart agriculture, balancing feeding its increasing population with sustainable methods in a dynamic landscape.
The major players are Grownetics, Inc., Deere & Company, CropMetrics LLC, Argus Control Systems Ltd, AGCO Corporation, Ag Leader Technology, AgJunction, Inc., CropZilla, Inc., DICKEY-john, AgEagle Aerial Systems Inc., Autonomous Solutions, Inc., BouMatic Robotic B.V., CLAAS KGaA mbH, DroneDeploy, Farmers Edge, Inc., DeLaval Inc, Granular, Inc., Trimble Inc., Gamaya, GEA Group Aktiengesellschaft, Raven Industries, Inc., and others.
Trimble Inc. will release two screens for precision agriculture Farm Sizes, the GFX-1060 and GFX-1260, in October 2022. Farmers can carry out in-field chores quickly and effectively with these next-generation monitors, which allow them to precisely map and monitor field data in real-time.
Patriot made the next step forward in spray technology and communication in Australia in February 2022. For more than two decades, the Case, IH Patriot sprayer has been a mainstay in many farming operations. The newest Case IH Farm Size technology, the new Patriot 50 series, is going to be presented to Australian clients.
In January 2022, new Hexagon technology provided accuracy in excavator planting. The launch of HxGN AgrOn Planting Assistant is aimed squarely at the forest market. It can, however, be customized to improve operations on other crop Agriculture Type s such as palm oil, citrus, and coffee.
In September 2022, John Deere launched three new Deere-powered self-propelled forage harvesters (9500, 9600, and 9700) to its lineup. Each model addresses the needs of contractors, customer harvesters, and dairy & livestock producers challenged by increased operating costs, shorter harvesting windows, and a smaller pool of skilled workers.
In April 2021, Topcon Agriculture launched the new AGM-1 and AGS-2 manual guidance & autosteering receivers and the new Topnet Live cellular, satellite & bridging correction services: Realpoint, Starpoint, and Skybridge. These technologies are used in machine operations and all associated tasks including soil preparation, seeding, crop care & harvesting, where tracking location data is relevant to crop optimization
| Report Attributes | Details |
| Market Size in 2023 | USD 16.1 Billion |
| Market Size by 2032 | USD 36.73 Billion |
| CAGR | CAGR of 9.6 % From 2024 to 2032 |
| Base Year | 2023 |
| Forecast Period | 2024-2032 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Agriculture Type (Precision farming, Livestock Monitoring, Smart Greenhouse, Others) • By Offering (Hardware, Software) • By Farm Size (Small Farms, Medium Farms, Large Farms) • By Application (Precision farming application, Livestock monitoring application, Smart greenhouse application, Others.) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa]), Latin America (Brazil, Argentina, Colombia Rest of Latin America) |
| Company Profiles | Grownetics, Inc., Deere & Company, CropMetrics LLC, Argus Control Systems Ltd, AGCO Corporation, Ag Leader Technology, AgJunction, Inc., CropZilla, Inc., DICKEY-john, AgEagle Aerial Systems Inc., Autonomous Solutions, Inc., BouMatic Robotic B.V., CLAAS KGaA mbH, DroneDeploy, Farmers Edge, Inc., DeLaval Inc, Granular, Inc., Trimble Inc., Gamaya, GEA Group Aktiengesellschaft, Raven Industries, Inc., and others. |
| Key Drivers |
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| Market Opportunities |
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Ans: 9.6 % is the CAGR of the Smart Agriculture Market in the forecast period of 2024-2032.
Ans: USD 36.73 billion in 2032 is the market share of the Smart Agriculture Market.
Ans:The major players are Grownetics, Inc., Deere & Company, CropMetrics LLC, Argus Control Systems Ltd, AGCO Corporation, Ag Leader Technology, AgJunction, Inc., CropZilla, Inc., DICKEY-john, AgEagle Aerial Systems Inc., Autonomous Solutions, Inc., BouMatic Robotic B.V., CLAAS KGaA mbH, DroneDeploy, Farmers Edge, Inc., DeLaval Inc, Granular, Inc., Trimble Inc., Gamaya, GEA Group Aktiengesellschaft, Raven Industries, Inc., and others.
Ans: The forecast period for the Smart Agriculture Market is 2024-2032.
Ans: The North American region is dominating the Smart Agriculture Market.
Table of Content
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.1 Drivers
4.1.2 Restraints
4.1.3 Opportunities
4.1.4 Challenges
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1Wafer Production Volumes, by Region (2023)
5.2Chip Design Trends (Historic and Future)
5.3 Fab Capacity Utilization (2023)
5.4 Supply Chain Metrics
6. Competitive Landscape
6.1 List of Major Companies, By Region
6.2 Market Share Analysis, By Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and supply chain strategies
6.4.3 Expansion plans and new product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. Smart Agriculture Market Segmentation, by Agriculture Type
7.1 Chapter Overview
7.2 Precision Farming
7.2.1 Precision Farming Market Trends Analysis (2020-2032)
7.2.2 Precision Farming Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 Livestock Monitoring
7.3.1 Livestock Monitoring Market Trends Analysis (2020-2032)
7.3.2 Livestock Monitoring Market Size Estimates and Forecasts to 2032 (USD Billion)
7.4 Precision Aquaculture
7.4.1 Precision Aquaculture Market Trends Analysis (2020-2032)
7.4.2 Precision Aquaculture Market Size Estimates and Forecasts to 2032 (USD Billion)
7.4.1 Smart feeding systems
7.4.1.1Smart feeding systems Market Trends Analysis (2020-2032)
7.4.1.2 Smart feeding systems Market Size Estimates and Forecasts to 2032 (USD Billion)
7.4.2 Monitoring and control systems
7.4.2.1 Monitoring and control systems Market Trends Analysis (2020-2032)
7.4.2.2 Monitoring and control systems Market Size Estimates and Forecasts to 2032 (USD Billion)
7.4.3 Underwater remotely-operated vehicles
7.4.3.1 Underwater remotely-operated vehicles Market Trends Analysis (2020-2032)
7.4.3.2 Underwater remotely-operated vehicles Market Size Estimates and Forecasts to 2032 (USD Billion)
7.5 Precision Forestry
7.5.1 Precision Forestry Market Trends Analysis (2020-2032)
7.5.2 Precision Forestry Market Size Estimates and Forecasts to 2032 (USD Billion)
7.6 Smart Greenhouse
7.6.1 Smart Greenhouse Market Trends Analysis (2020-2032)
7.6.2 Smart Greenhouse Market Size Estimates and Forecasts to 2032 (USD Billion)
7.7 Others
7.6.1 Others Market Trends Analysis (2020-2032)
7.6.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
8. Smart Agriculture Market Segmentation, by Farm Size
8.1 Chapter Overview
8.2 Small Farms
8.2.1 Small Farms Market Trends Analysis (2020-2032)
8.2.2 Small Farms Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 Medium Farms
8.3.1 Medium Farms Market Trends Analysis (2020-2032)
8.3.2 Medium Farms Market Size Estimates and Forecasts to 2032 (USD Billion)
8.4 Large Farms
8.4.1 Large Farms Market Trends Analysis (2020-2032)
8.4.2 Large Farms Market Size Estimates and Forecasts to 2032 (USD Billion)
9. Smart Agriculture Market Segmentation, by Offering
9.1 Chapter Overview
9.2 Hardware
9.2.1 Hardware Market Trends Analysis (2020-2032)
9.2.2 Hardware Market Size Estimates and Forecasts to 2032 (USD Billion)
9.2.1 Automation & control
9.2.1.1 Automation & control Market Trends Analysis (2020-2032)
9.2.1.2 Automation & control Market Size Estimates and Forecasts to 2032 (USD Billion)
9.2.2 Sensing & monitoring
9.2.2.1 Sensing & monitoring Market Trends Analysis (2020-2032)
9.2.2.2 Sensing & monitoring Market Size Estimates and Forecasts to 2032 (USD Billion)
9.2.3 HVAC system
9.2.3.1 HVAC system Market Trends Analysis (2020-2032)
9.2.3.2 HVAC system Market Size Estimates and Forecasts to 2032 (USD Billion)
9.2.4 RFID tags & readers
9.2.4.1 RFID tags & readers Market Trends Analysis (2020-2032)
9.2.4.2 RFID tags & readers Market Size Estimates and Forecasts to 2032 (USD Billion)
9.2.5 LED grow lights
9.2.5.1 LED grow lights Market Trends Analysis (2020-2032)
9.2.5.2 LED grow lights Market Size Estimates and Forecasts to 2032 (USD Billion)
9.3 Software
9.3.1 Software Market Trends Analysis (2020-2032)
9.3.2 Software Market Size Estimates and Forecasts to 2032 (USD Billion)
9.3.1 On-premises
9.3.1.1On-premises Market Trends Analysis (2020-2032)
9.3.2.1 On-premises Market Size Estimates and Forecasts to 2032 (USD Billion)
9.3.2 Cloud-based
9.3.2.1 Cloud-based Market Trends Analysis (2020-2032)
9.3.2.2 Cloud-based Market Size Estimates and Forecasts to 2032 (USD Billion)
9.3.3 AI and data analytics
9.3.3.1 AI and data analytics Market Trends Analysis (2020-2032)
9.3.3.2 AI and data analytics Market Size Estimates and Forecasts to 2032 (USD Billion)
9.3.4 Farm management software
9.3.4.1 Farm management software Market Trends Analysis (2020-2032)
9.3.4.2 Farm management software Market Size Estimates and Forecasts to 2032 (USD Billion)
9.4 Service
9.4.1 Service Market Trends Analysis (2020-2032)
9.4.2 Service Market Size Estimates and Forecasts to 2032 (USD Billion)
10. Smart Agriculture Market Segmentation, by Application
10.1 Chapter Overview
10.2 Precision farming
10.2.1 Precision farming Market Trends Analysis (2020-2032)
10.2.2 Precision farming Market Size Estimates and Forecasts to 2032 (USD Billion)
10.2.1 Yield monitoring
10.2.1.2 Yield monitoring Market Trends Analysis (2020-2032)
10.2.2 Yield monitoring Market Size Estimates and Forecasts to 2032 (USD Billion)
10.2.2 Field mapping
10.2.2.1 Field mapping Market Trends Analysis (2020-2032)
10.2.2.2 Field mapping Market Size Estimates and Forecasts to 2032 (USD Billion)
10.2.3 Crop scouting
10.2.3.1 Crop scouting Market Trends Analysis (2020-2032)
10.2.3.2 Crop scouting Market Size Estimates and Forecasts to 2032 (USD Billion)
10.3 Precision Forestry
10.3.1 Precision Forestry Market Trends Analysis (2020-2032)
10.3.2 Precision Forestry Market Size Estimates and Forecasts to 2032 (USD Billion)
10.4 Livestock monitoring
10.3.1 Livestock monitoring Market Trends Analysis (2020-2032)
10.3.2 Livestock monitoring Market Size Estimates and Forecasts to 2032 (USD Billion)
10.5 Smart greenhouse
10.4.1 Smart greenhouse Market Trends Analysis (2020-2032)
10.4.2 Smart greenhouse Market Size Estimates and Forecasts to 2032 (USD Billion)
10.6 Others
10.5.1 Others Market Trends Analysis (2020-2032)
10.5.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
11. Regional Analysis
11.1 Chapter Overview
11.2 North America
11.2.1 Trends Analysis
11.2.2 North America Smart Agriculture Market Estimates And Forecasts, By Country (2020-2032) (USD Billion)
11.2.3 North America Smart Agriculture Market Estimates And Forecasts, By Agriculture Type (2020-2032) (USD Billion)
11.2.4 North America Smart Agriculture Market Estimates And Forecasts, By Farm Size (2020-2032) (USD Billion)
11.2.5 North America Smart Agriculture Market Estimates And Forecasts, By Offering (2020-2032) (USD Billion)
11.2.6 North America Smart Agriculture Market Estimates And Forecasts, By Application (2020-2032) (USD Billion)
11.2.7 USA
11.2.7.1 USA Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.2.7.2 USA Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.2.7.3 USA Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.2.7.4 USA Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.2.8 Canada
11.2.8.1 Canada Smart Agriculture Market Estimates And Forecasts, By Agriculture Type (2020-2032) (USD Billion)
11.2.8.2 Canada Smart Agriculture Market Estimates And Forecasts, By Farm Size (2020-2032) (USD Billion)
11.2.8.3 Canada Smart Agriculture Market Estimates And Forecasts, By Offering (2020-2032) (USD Billion)
11.2.8.4 Canada Smart Agriculture Market Estimates And Forecasts, By Application (2020-2032) (USD Billion)
11.2.9 Mexico
11.2.9.1 Mexico Smart Agriculture Market Estimates And Forecasts, By Agriculture Type (2020-2032) (Usd Billion)
11.2.9.2 Mexico Smart Agriculture Market Estimates And Forecasts, By Farm Size (2020-2032) (Usd Billion)
11.2.9.3 Mexico Smart Agriculture Market Estimates And Forecasts, By Offering (2020-2032) (Usd Billion)
11.2.9.4 Mexico Smart Agriculture Market Estimates And Forecasts, By Application (2020-2032) (Usd Billion)
11.3 Europe
11.3.1 Eastern Europe
11.3.1.1 Trends Analysis
11.3.1.2 Eastern Europe Smart Agriculture Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
11.3.1.3 Eastern Europe Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.3.1.4 Eastern Europe Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.3.1.5 Eastern Europe Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.3.1.6 Eastern Europe Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.1.7 Poland
11.3.1.7.1 Poland Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.3.1.7.2 Poland Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.3.1.7.3 Poland Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.3.1.7.4 Poland Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.1.8 Romania
11.3.1.8.1 Romania Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.3.1.8.2 Romania Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.3.1.8.3 Romania Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.3.1.8.4 Romania Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.1.9 Hungary
11.3.1.9.1 Hungary Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.3.1.9.2 Hungary Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.3.1.9.3 Hungary Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.3.1.9.4 Hungary Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.1.10 Turkey
11.3.1.10.1 Turkey Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.3.1.10.2 Turkey Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.3.1.10.3 Turkey Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.3.1.10.4 Turkey Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.1.11 Rest of Eastern Europe
11.3.1.11.1 Rest of Eastern Europe Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.3.1.11.2 Rest of Eastern Europe Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.3.1.11.3 Rest of Eastern Europe Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.3.1.11.4 Rest of Eastern Europe Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.2 Western Europe
11.3.2.1 Trends Analysis
11.3.2.2 Western Europe Smart Agriculture Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
11.3.2.3 Western Europe Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.3.2.4 Western Europe Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.3.2.5 Western Europe Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.3.2.6 Western Europe Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.2.7 Germany
11.3.2.7.1 Germany Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.3.2.7.2 Germany Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.3.2.7.3 Germany Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.3.2.7.4 Germany Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.2.8 France
11.3.2.8.1 France Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.3.2.8.2 France Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.3.2.8.3 France Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.3.2.8.4 France Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.2.9 UK
11.3.2.9.1 UK Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.3.2.9.2 UK Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.3.2.9.3 UK Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.3.2.9.4 UK Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.2.10 Italy
11.3.2.10.1 Italy Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.3.2.10.2 Italy Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.3.2.10.3 Italy Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.3.2.10.4 Italy Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.2.11 Spain
11.3.2.11.1 Spain Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.3.2.11.2 Spain Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.3.2.11.3 Spain Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.3.2.11.4 Spain Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.2.12 Netherlands
11.3.2.12.1 Netherlands Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.3.2.12.2 Netherlands Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.3.2.12.3 Netherlands Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.3.2.12.4 Netherlands Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.2.13 Switzerland
11.3.2.13.1 Switzerland Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.3.2.13.2 Switzerland Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.3.2.13.3 Switzerland Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.3.2.13.4 Switzerland Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.2.14 Austria
11.3.2.14.1 Austria Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.3.2.14.2 Austria Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.3.2.14.3 Austria Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.3.2.14.4 Austria Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.2.15 Rest of Western Europe
11.3.2.15.1 Rest of Western Europe Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.3.2.15.2 Rest of Western Europe Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.3.2.15.3 Rest of Western Europe Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.3.2.15.4 Rest of Western Europe Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.4 Asia Pacific
11.4.1 Trends Analysis
11.4.2 Asia Pacific Smart Agriculture Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
11.4.3 Asia Pacific Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.4.4 Asia Pacific Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.4.5 Asia Pacific Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.4.6 Asia Pacific Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.4.7 China
11.4.7.1 China Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.4.7.2 China Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.4.7.3 China Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.4.7.4 China Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.4.8 India
11.4.8.1 India Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.4.8.2 India Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.4.8.3 India Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.4.8.4 India Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.4.9 Japan
11.4.9.1 Japan Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.4.9.2 Japan Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.4.9.3 Japan Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.4.9.4 Japan Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.4.10 South Korea
11.4.10.1 South Korea Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.4.10.2 South Korea Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.4.10.3 South Korea Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.4.10.4 South Korea Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.4.11 Vietnam
11.4.11.1 Vietnam Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.4.11.2 Vietnam Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.4.11.3 Vietnam Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.4.11.4 Vietnam Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.4.12 Singapore
11.4.12.1 Singapore Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.4.12.2 Singapore Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.4.12.3 Singapore Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.4.12.4 Singapore Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.4.13 Australia
11.4.13.1 Australia Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.4.13.2 Australia Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.4.13.3 Australia Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.4.13.4 Australia Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.4.14 Rest of Asia Pacific
11.4.14.1 Rest of Asia Pacific Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.4.14.2 Rest of Asia Pacific Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.4.14.3 Rest of Asia Pacific Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.4.14.4 Rest of Asia Pacific Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.5 Middle East and Africa
11.5.1 Middle East
11.5.1.1 Trends Analysis
11.5.1.2 Middle East Smart Agriculture Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
11.5.1.3 Middle East Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.5.1.4 Middle East Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.5.1.5 Middle East Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.5.1.6 Middle East Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.5.1.7 UAE
11.5.1.7.1 UAE Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.5.1.7.2 UAE Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.5.1.7.3 UAE Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.5.1.7.4 UAE Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.5.1.8 Egypt
11.5.1.8.1 Egypt Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.5.1.8.2 Egypt Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.5.1.8.3 Egypt Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.5.1.8.4 Egypt Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.5.1.9 Saudi Arabia
11.5.1.9.1 Saudi Arabia Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.5.1.9.2 Saudi Arabia Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.5.1.9.3 Saudi Arabia Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.5.1.9.4 Saudi Arabia Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.5.1.10 Qatar
11.5.1.10.1 Qatar Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.5.1.10.2 Qatar Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.5.1.10.3 Qatar Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.5.1.10.4 Qatar Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.5.1.11 Rest of Middle East
11.5.1.11.1 Rest of Middle East Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.5.1.11.2 Rest of Middle East Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.5.1.11.3 Rest of Middle East Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.5.1.11.4 Rest of Middle East Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.5.2 Africa
11.5.2.1 Trends Analysis
11.5.2.2 Africa Smart Agriculture Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
11.5.2.3 Africa Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.5.2.4 Africa Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.5.2.5 Africa Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.5.2.6 Africa Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.5.2.7 South Africa
11.5.2.7.1 South Africa Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.5.2.7.2 South Africa Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.5.2.7.3 South Africa Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.5.2.7.4 South Africa Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.5.2.8 Nigeria
11.5.2.8.1 Nigeria Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.5.2.8.2 Nigeria Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.5.2.8.3 Nigeria Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.5.2.8.4 Nigeria Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.5.2.9 Rest of Africa
11.5.2.9.1 Rest of Africa Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.5.2.9.2 Rest of Africa Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.5.2.9.3 Rest of Africa Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.5.2.9.4 Rest of Africa Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.6 Latin America
11.6.1 Trends Analysis
11.6.2 Latin America Smart Agriculture Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
11.6.3 Latin America Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.6.4 Latin America Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.6.5 Latin America Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.6.6 Latin America Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.6.7 Brazil
11.6.7.1 Brazil Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.6.7.2 Brazil Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.6.7.3 Brazil Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.6.7.4 Brazil Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.6.8 Argentina
11.6.8.1 Argentina Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.6.8.2 Argentina Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.6.8.3 Argentina Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.6.8.4 Argentina Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.6.9 Colombia
11.6.9.1 Colombia Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.6.9.2 Colombia Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.6.9.3 Colombia Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.6.9.4 Colombia Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.6.10 Rest of Latin America
11.6.10.1 Rest of Latin America Smart Agriculture Market Estimates and Forecasts, by Agriculture Type (2020-2032) (USD Billion)
11.6.10.2 Rest of Latin America Smart Agriculture Market Estimates and Forecasts, by Farm Size (2020-2032) (USD Billion)
11.6.10.3 Rest of Latin America Smart Agriculture Market Estimates and Forecasts, by Offering (2020-2032) (USD Billion)
11.6.10.4 Rest of Latin America Smart Agriculture Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
12. Company Profiles
12.1 Grownetics, Inc.
12.1.1 Company Overview
12.1.2 Financial
12.1.3 Products/ Services Offered
12.1.4 SWOT Analysis
12.2 Deere & Company
12.2.1 Company Overview
12.2.2 Financial
12.2.3 Products/ Services Offered
12.2.4 SWOT Analysis
12.3 CropMetrics LLC
12.3.1 Company Overview
12.3.2 Financial
12.3.3 Products/ Services Offered
12.3.4 SWOT Analysis
12.4 Argus Control Systems Ltd
12.4.1 Company Overview
12.4.2 Financial
12.4.3 Products/ Services Offered
12.4.4 SWOT Analysis
12.5 AGCO Corporation
12.5.1 Company Overview
12.5.2 Financial
12.5.3 Products/ Services Offered
12.5.4 SWOT Analysis
12.6 Ag Leader Technology
12.6.1 Company Overview
12.6.2 Financial
12.6.3 Products/ Services Offered
12.6.4 SWOT Analysis
12.7 AgJunction, Inc.
12.7.1 Company Overview
12.7.2 Financial
12.7.3 Products/ Services Offered
12.7.4 SWOT Analysis
12.8 CropZilla, Inc.
12.8.1 Company Overview
12.8.2 Financial
12.8.3 Products/ Services Offered
12.8.4 SWOT Analysis
12.9 DICKEY-john
12.9.1 Company Overview
12.9.2 Financial
12.9.3 Products/ Services Offered
12.9.4 SWOT Analysis
12.10 AgEagle Aerial Systems Inc.
12.10.1 Company Overview
12.10.2 Financial
12.10.3 Products/ Services Offered
12.10.4 SWOT Analysis
13. Use Cases and Best Practices
14. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
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The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
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This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
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By Offering
Hardware
Automation & control
Guidance & steering systems
GPS/GNSS devices
Displays
Drones
Irrigation controllers
Flow & application control devices
Variable rate controllers
Others
Sensing & monitoring
Yield monitors
Soil sensors
Temperature sensors
Nutrient sensors
Moisture sensors
Water sensors
Climate sensors
HVAC system
RFID tags & readers
LED grow lights
Software
On-premises
Cloud-based
Software-as-a Service (SaaS)
Platform-as-a-Service (PaaS)
AI and data analytics
Farm management software
Service
By Farm Size
Small Farms
Medium Farms
Large Farms
By Agriculture Type
Precision Farming
Livestock Monitoring
Precision Aquaculture
Smart feeding systems
Monitoring and control systems
Underwater remotely-operated vehicles
Precision Forestry
Smart Greenhouse
Others
By Application
Precision farming
Yield monitoring
On-farm
Off-farm
Field mapping
Boundary mapping
Drainage mapping
Crop scouting
Weather tracking & forecasting
Variable rate
Irrigation management
Fertigation management
Inventory management
Farm labor management
Others
Livestock monitoring
Breeding management
Feeding management
Milk harvesting management
Animal comfort management
Behavioral monitoring & control
Others
Precision forestry
Genetics & nurseries
Fire management
Harvesting management
Inventory & logistics management
Others
Smart greenhouse
HVAC monitoring
Yield monitoring & harvesting
Water & fertilizer management
Others
Others
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Rest of Western Europe
Asia Pacific
China
India
Japan
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Vietnam
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Rest of Asia Pacific
Middle East & Africa
Middle East
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Rest of the Middle East
Africa
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Company Information
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