The Precision Farming Market size was valued at USD 10.35 billion in 2023 and is expected to grow to USD 29.25 billion by 2032 and grow at a CAGR of 12.24 % over the forecast period of 2024-2032. . Rapid adoption of various advanced technology for lowering labor cost and improving productivity along with growing usage of Internet of Things (IoT) devices in agriculture has been some of the major contributors to the growth of this market. Precision farming provides considerable cost efficiencies and is regarded as an important way to meet climate change challenges and growing food demands. Furthermore, government support and incentives for adopting precision farming practices are accelerating its global adoption, making it an essential part of modern agriculture.
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Drivers:
Accelerating Precision Farming through Cutting-edge Technology Integration
The adoption of advanced technologies such as GPS, IoT, AI, drones, and laser cutting is revolutionizing the precision farming market by enhancing operational efficiency, lowering labor costs, and optimizing crop management. hese advancements allow for the monitoring of soil quality, climate conditions, and crop health in real-time, making it easier to make informed decisions and improve the use of resources. Tasks such as crop scouting and irrigation are being automated with the help of technologies such as AI and drones, while laser cutting improves farm equipment manufacturing processes. With an increasing number of technologies being implemented in agriculture, the need for precision farming solutions is more present than ever, a result of sustainability needs and demand for increased productivity in the sector. This technological shift is expected to gain momentum as farmers look for smarter, more cost-effective ways to meet the rising global food demand.
Restraints:
Technical Complexity and Barriers to Adoption of Precision Farming
Advanced precision farming technologies like GPS, IoT, AI, and drones, used to integrate and effectively use them in farming, are challenged by their technical complexity. Numerous farmers, particularly in rural environments, do not have the expertise required to operate these technologies properly. The USDA estimated that 27% of U.S. farms had adopted precision agriculture practices in 2023—with even higher adoption rates for corn (72%) and soybean (70%). Adoption rates are also influenced by regional factors like farm size and crop type, with the Midwest showing higher adoption due to better access to technology and support. Overcoming the learning curve and the need for specialized knowledge is crucial for widespread adoption.
Opportunities:
Technological Development in Precision Farm Unlocking Growth Potential
Precision farming uses real-time data, including weather and soil health information, to enhance crop production by enabling more accurate farming decisions. It is expected to surpass traditional agricultural practices, with mobile apps allowing remote monitoring and equipment management through communication systems. Technologies such as variable rate technologies (VRT) enable more efficient application of seeds, fertilizers, and other resources. North America leads the adoption of IoT, big data, drones, and robotics in agriculture, though high costs still pose challenges for small-scale farmers. However, innovations in driverless tractors, GPS sensing systems, and controlled traffic systems (CTF) are anticipated to lower costs and enhance crop quality, creating significant growth opportunities for the precision farming market .
Challenges:
Connectivity issues, including poor 4G/5G access and slow broadband, limit precision farming adoption and hinder real-time data use.
Although broadband speeds are improving, 6% of members do not have any access to 4G or 5G on their phones and only 58% of members report that the internet speeds available to them are sufficient for their farm operations. Dependable connectivity is essential for everything from using GPS on tractors, VAT returns, and communicating with customers. In 2023, only 27% of U.S. farms used precision agriculture techniques to manage crops and livestock. Even though precision farming tools like IoT, drones, and GPS systems depend on a constant stream of data for optimal performance; limited or inconsistent Internet availability in rural areas prevent such tools from realizing their best results. The Federal Communications Commission (FCC) highlights that inadequate infrastructure is a key barrier to precision farming’s growth, making overcoming connectivity issues essential for enhancing agricultural productivity and sustainability.
By Offering
Based on Offering, Hardware segment is dominating in Precision Farming Market of around 55% in 2023. The emergence of advanced hardware technologies, including GPS systems, sensors, drones, automated machinery, and driverless tractors is one of the key factors that has contributed to the growing usage of precision agriculture. These devices are essential for precision irrigation, monitoring soil health, and filtering crop yields. This also supports technologies such as variable rate application (VRA) and controlled traffic (CTF) systems, both critical to target resource management. As the demand for more accurate and efficient farming practices grows, hardware solutions continue to play a crucial role in shaping the future of precision agriculture, contributing significantly to market growth.
The software segment is expected to experience the fastest growth in the precision farming market from 2024 to 2032, driven by increasing demand for data analytics, artificial intelligence (AI), and cloud-based platforms. Software solutions like farm management systems, weather prediction tools and crop monitoring applications are emerging in gaining market, which are able to process data from IoT devices and drones. These tools offer practical recommendations for farmers to maximize crop production, elevate resources efficiency, and boost sustainability. Further, AI and machine learning are being used for predictive analytics, allowing farmers to predict weather patterns, pest invasions and soil conditions. As farming becomes increasingly data-driven, software solutions are playing a key role in enhancing decision-making and driving operational efficiencies, fostering market expansion in the long term.
By Application
The Yield Monitoring segment dominated the precision farming market with a 40% share in 2023, due to its ability to provide farmers with real-time data on crop performance throughout the harvest. This part is about typically on farm and off farm yield tracking. In this regard, on-farm yield monitoring helps to promote operational efficiency through real-time data collection and as the basis of spatial database. These features contribute to the segment’s dominance, as they help farmers optimize inputs, reduce waste, and make informed decisions that enhance overall farm productivity and profitability.
Irrigation Management is expected to be the fastest-growing segment in the precision farming market from 2024 to 2032, driven by the need for more efficient water usage in agriculture. due to its ability to provide farmers with real-time data on crop performance throughout the harvest. This part is about typically on farm and off farm yield tracking. In this regard, on-farm yield monitoring helps to promote operational efficiency through real-time data collection and as the basis of spatial database. As climate change and water conservation become increasingly important, demand for advanced irrigation management solutions is poised for rapid growth.
North America holds a dominant share of around 45% in the precision farming market as of 2023, driven by widespread adoption of advanced agricultural technologies and strong support from government initiatives. The region, particularly the U.S. and Canada, leads in the use of IoT, GPS, drones, and robotics for farming. Large-scale farms in the Midwest benefit from precision tools for yield monitoring, irrigation management, and crop health monitoring. The presence of major tech companies and continuous investments in agriculture-focused innovations further contribute to North America's market leadership. Additionally, the region's high level of infrastructure development and favorable policies enhance the adoption of precision farming technologies, positioning it as a key player in the global market.
Asia-Pacific is expected to be the fastest-growing region in the precision farming market during the forecast period from 2024 to 2032. The growth is driven by rapid technological advancements along with the growing adoption of IoT, AI, and drone technologies to agriculture and the increasing demand for environmentally sustainable farming practices to meet the growing food demand in the region. India, China, and Japan have been heavily investing in precision farming solutions to increase crop yields, optimize resource use, and strengthen food security. Government initiatives and subsidies for modern agricultural practices are fostering the growth of precision tools within the agricultural sector. Asia Pacific is expected to witness considerable growth over the forecast period, attributed to the extensive agricultural base and the need for productivity improvement.
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Some of the major key Players in Precision Farming Market along with their product:
Deere & Company (US) – (John Deere Precision Agriculture Solutions)
AGCO Corporation (US) – (Fuse Technologies)
Raven Industries, Inc. (US) – (Raven Applied Technology)
AgJunction LLC (US) – (AgJunction Solutions)
Trimble Inc. (US) – (Trimble Ag Software and Hardware)
Ag Leader Technology (US) – (Ag Leader Precision Farming Products)
CropMetrics LLC (US) – (CropMetrics Precision Irrigation)
Topcon Corporation (Japan) – (Topcon Precision Agriculture)
AgEagle Aerial Systems Inc. (Agribotix LLC) (US) – (Agribotix Drone Solutions)
DICKEY-john Corporation (US) – (DICKEY-john Precision Ag Equipment)
Farmers Edge Inc. (Canada) – (Farmers Edge Precision Farming Solutions)
Grownetics, Inc. (US) – (Grownetics Precision Ag Technology)
Proagrica (SST Development Group, Inc.) (UK) – (SST Software Solutions)
The Climate Corporation (US) – (Climate FieldView)
List of Suppliers who provide raw material and component in Precision Farming Market:
BASF (Germany)
Dow Chemical (US)
Syngenta (Switzerland)
Monsanto (now part of Bayer) (US)
Nutrien (Canada)
Mosaic Company (US)
Yara International (Norway)
Cargill (US)
Valmont Industries (US)
Trelleborg (Sweden)
ExxonMobil (US)
Vestas (Denmark)
Danfoss (Denmark)
SABIC (Saudi Arabia)
Linde Group (Germany)
January 20, 2025: John Deere “Robotics, AI and advanced machinery will drive greater efficiency in farming” continues to enhance its precision agriculture capabilities, having secured five new technology patents The patents demonstrate the company's dedication to innovation, underpinning its dominance in the digital farming sector.
April 1, 2024: AGCO Corporation and Trimble have announced that their joint venture agreement establishing PTx Trimble has been completed and is effective The JV integrates Trimble's precision ag business with AGCO's JCA Technologies to deliver a mixed-fleet precision Ag platform to farmers worldwide with next-gen tools for productivity and sustainability. AGCO takes an 85% stake and Trimble keeps 15%.
| Report Attributes | Details |
| Market Size in 2023 | USD 10.35 Billion |
| Market Size by 2032 | USD 29.25 Billion |
| CAGR | CAGR of 12.24 % 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 Offering (Hardware, Software, Services) • By Application (Yield Monitoring, Field Mapping, Crop Scouting, Weather Tracking & Forecasting, Irrigation Management, Inventory Management, Farm Labour Management) |
| 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 | Deere & Company (US), AGCO Corporation (US), Raven Industries, Inc. (US), AgJunction LLC (US), Trimble Inc. (US), Ag Leader Technology (US), CropMetrics LLC (US), Topcon Corporation (Japan), AgEagle Aerial Systems Inc. (Agribotix LLC) (US), DICKEY-john Corporation (US), Farmers Edge Inc. (Canada), Grownetics, Inc. (US), Proagrica (SST Development Group, Inc.) (UK), The Climate Corporation (US). |
Ans: Precision Farming Market is anticipated to expand by 12.24 % from 2024 to 2032.
Ans: It is estimated to reach USD 29.25 billion by 2032.
Ans: Precision Farming Market size was valued at USD 10.35 billion in 2023
Ans: Increasing use of AI based technologies in precision farming and Rising technological advancement in farming
Ans: Rising population and increased demand of organic food, Collecting and evaluating numerous farm data is difficult
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
4.1.2 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
5.1 Adoption Rates and Trends, by Region
5.2 Efficiency and ROI Metrics, by Region
5.3 Consumer Demand for Sustainable Practices
5.4 Regulatory and Policy Impact
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. Precision Farming Market Segmentation, by Type
7.1 Chapter Overview
7.2 Hardware
7.2.1 Hardware Market Trends Analysis (2020-2032)
7.2.2 Hardware Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 Software
7.3.1 Software Market Trends Analysis (2020-2032)
7.3.2 Software Market Size Estimates and Forecasts to 2032 (USD Billion)
7.4Services
7.4.1 Services Market Trends Analysis (2020-2032)
7.4.2 Services Market Size Estimates and Forecasts to 2032 (USD Billion)
8. Precision Farming Market Segmentation, by Application
8.1 Chapter Overview
8.2 Yield Monitoring
8.2.1 Yield Monitoring Market Trends Analysis (2020-2032)
8.2.2 Yield Monitoring Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 Field Mapping
8.3.1Field Mapping Market Trends Analysis (2020-2032)
8.3.2Field Mapping Market Size Estimates and Forecasts to 2032 (USD Billion)
8.4 Crop Scouting
8.4.1Crop Scouting Market Trends Analysis (2020-2032)
8.4.2Crop Scouting Market Size Estimates and Forecasts to 2032 (USD Billion)
8.5 Weather Tracking & Forecasting
8.5.1Weather Tracking & Forecasting Market Trends Analysis (2020-2032)
8.5.2 Weather Tracking & Forecasting Market Size Estimates and Forecasts to 2032 (USD Billion)
8.6 Irrigation Management
8.6.1Irrigation Management Market Trends Analysis (2020-2032)
8.6.2 Irrigation Management Market Size Estimates and Forecasts to 2032 (USD Billion)
8.7 Inventory Management
8.7.1Inventory Management Market Trends Analysis (2020-2032)
8.7.2 Inventory Management Market Size Estimates and Forecasts to 2032 (USD Billion)
8.8 Farm Labor Management
8.8.1Farm Labor Management Market Trends Analysis (2020-2032)
8.8.2 Farm Labor Management Market Size Estimates and Forecasts to 2032 (USD Billion)
9. Regional Analysis
9.1 Chapter Overview
9.2 North America
9.2.1 Trends Analysis
9.2.2 North America Precision Farming Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.2.3 North America Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.2.4 North America Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.2.5 USA
9.2.5.1 USA Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.2.5.2 USA Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.2.6 Canada
9.2.6.1 Canada Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.2.6.2 Canada Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.2.7 Mexico
9.2.7.1 Mexico Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.2.7.2 Mexico Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3 Europe
9.3.1 Eastern Europe
9.3.1.1 Trends Analysis
9.3.1.2 Eastern Europe Precision Farming Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.3.1.3 Eastern Europe Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.1.4 Eastern Europe Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.1.5 Poland
9.3.1.5.1 Poland Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.1.5.2 Poland Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.1.6 Romania
9.3.1.6.1 Romania Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.1.6.2 Romania Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.1.7 Hungary
9.3.1.7.1 Hungary Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.1.7.2 Hungary Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.1.8 Turkey
9.3.1.8.1 Turkey Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.1.8.2 Turkey Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.1.9 Rest of Eastern Europe
9.3.1.9.1 Rest of Eastern Europe Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.1.9.2 Rest of Eastern Europe Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2 Western Europe
9.3.2.1 Trends Analysis
9.3.2.2 Western Europe Precision Farming Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.3.2.3 Western Europe Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.4 Western Europe Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.5 Germany
9.3.2.5.1 Germany Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.5.2 Germany Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.6 France
9.3.2.6.1 France Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.6.2 France Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.7 UK
9.3.2.7.1 UK Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.7.2 UK Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.8 Italy
9.3.2.8.1 Italy Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.8.2 Italy Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.9 Spain
9.3.2.9.1 Spain Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.9.2 Spain Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.10 Netherlands
9.3.2.10.1 Netherlands Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.10.2 Netherlands Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.11 Switzerland
9.3.2.11.1 Switzerland Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.11.2 Switzerland Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.12 Austria
9.3.2.12.1 Austria Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.12.2 Austria Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.13 Rest of Western Europe
9.3.2.13.1 Rest of Western Europe Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.13.2 Rest of Western Europe Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4 Asia Pacific
9.4.1 Trends Analysis
9.4.2 Asia Pacific Precision Farming Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.4.3 Asia Pacific Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.4 Asia Pacific Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.5 China
9.4.5.1 China Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.5.2 China Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.6 India
9.4.5.1 India Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.5.2 India Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.5 Japan
9.4.5.1 Japan Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.5.2 Japan Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.6 South Korea
9.4.6.1 South Korea Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.6.2 South Korea Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.7 Vietnam
9.4.7.1 Vietnam Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.2.7.2 Vietnam Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.8 Singapore
9.4.8.1 Singapore Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.8.2 Singapore Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.9 Australia
9.4.9.1 Australia Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.9.2 Australia Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.10 Rest of Asia Pacific
9.4.10.1 Rest of Asia Pacific Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.10.2 Rest of Asia Pacific Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5 Middle East and Africa
9.5.1 Middle East
9.5.1.1 Trends Analysis
9.5.1.2 Middle East Precision Farming Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.5.1.3 Middle East Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.1.4 Middle East Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.1.5 UAE
9.5.1.5.1 UAE Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.1.5.2 UAE Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.1.6 Egypt
9.5.1.6.1 Egypt Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.1.6.2 Egypt Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.1.7 Saudi Arabia
9.5.1.7.1 Saudi Arabia Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.1.7.2 Saudi Arabia Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.1.8 Qatar
9.5.1.8.1 Qatar Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.1.8.2 Qatar Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.1.9 Rest of Middle East
9.5.1.9.1 Rest of Middle East Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.1.9.2 Rest of Middle East Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.2 Africa
9.5.2.1 Trends Analysis
9.5.2.2 Africa Precision Farming Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.5.2.3 Africa Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.2.4 Africa Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.2.5 South Africa
9.5.2.5.1 South Africa Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.2.5.2 South Africa Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.2.6 Nigeria
9.5.2.6.1 Nigeria Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.2.6.2 Nigeria Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.2.7 Rest of Africa
9.5.2.7.1 Rest of Africa Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.2.7.2 Rest of Africa Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.6 Latin America
9.6.1 Trends Analysis
9.6.2 Latin America Precision Farming Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.6.3 Latin America Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.6.4 Latin America Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.6.5 Brazil
9.6.5.1 Brazil Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.6.5.2 Brazil Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.6.6 Argentina
9.6.6.1 Argentina Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.6.6.2 Argentina Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.6.7 Colombia
9.6.7.1 Colombia Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.6.7.2 Colombia Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.6.8 Rest of Latin America
9.6.8.1 Rest of Latin America Precision Farming Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.6.8.2 Rest of Latin America Precision Farming Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10. Company Profiles
10.1 Deere & Company
10.1.1 Company Overview
10.1.2 Financial
10.1.3 Products/ Services Offered
10.1.4 SWOT Analysis
10.2 AGCO Corporation
10.2.1 Company Overview
10.2.2 Financial
10.2.3 Products/ Services Offered
10.2.4 SWOT Analysis
10.3 Raven Industries, Inc.
10.3.1 Company Overview
10.3.2 Financial
10.3.3 Products/ Services Offered
10.3.4 SWOT Analysis
10.4 AgJunction LLC
10.4.1 Company Overview
10.4.2 Financial
10.4.3 Products/ Services Offered
10.4.4 SWOT Analysis
10.5 Trimble Inc.
10.5.1 Company Overview
10.5.2 Financial
10.5.3 Products/ Services Offered
10.5.4 SWOT Analysis
10.6 Ag Leader Technology
10.6.1 Company Overview
10.6.2 Financial
10.6.3 Products/ Services Offered
10.6.4 SWOT Analysis
10.7 CropMetrics LLC
10.7.1 Company Overview
10.7.2 Financial
10.7.3 Products/ Services Offered
10.7.4 SWOT Analysis
10.8 Topcon Corporation
10.8.1 Company Overview
10.8.2 Financial
10.8.3 Products/ Services Offered
10.8.4 SWOT Analysis
10.9 AgEagle Aerial Systems Inc.
10.9.1 Company Overview
10.9.2 Financial
10.9.3 Products/ Services Offered
10.9.4 SWOT Analysis
10.10 DICKEY-john Corporation
10.10.1 Company Overview
10.10.2 Financial
10.10.3 Products/ Services Offered
10.10.4 SWOT Analysis
11. Use Cases and Best Practices
12. 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.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
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.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
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.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
Key Segments:
By Offering
Hardware
Software
Services
By Application
Yield Monitoring
Field Mapping
Crop Scouting
Weather Tracking & Forecasting
Irrigation Management
Inventory Management
Farm Labour Management
Request for Segment Customization as per your Business Requirement: Segment Customization Request
Regional 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
Request for Country Level Research Report: Country Level Customization Request
Available Customization
With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
Detailed Volume Analysis
Criss-Cross segment analysis (e.g. Product X Application)
Competitive Product Benchmarking
Geographic Analysis
Additional countries in any of the regions
Customized Data Representation
Detailed analysis and profiling of additional market players
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The Smart Highways Market Size was valued at USD 57.10 Billion in 2023 and is expected to reach USD 279.53 Billion by 2032, at 19.33% CAGR, During 2024-2032
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