The Smart Crop Scouting and Smart Spraying Market Size is valued at USD 4.58 Bn in 2023 and is predicted to reach USD 11.47 Bn by the year 2031 at an 12.3% CAGR during the forecast period for 2024-2031.
Smart crop scouting and smart spraying are modern agricultural technologies that leverage advanced tools and techniques to enhance crop management and pest control as part of precision agriculture. These approaches aim to improve efficiency, reduce costs, and minimize environmental impact. Smart Crop Scouting uses technology to monitor and assess the health and condition of crops. At the same time, Smart Spraying focuses on the precise application of fertilizers, pesticides, or herbicides, ensuring efficiency and minimizing waste. By integrating these technologies, farmers can create a highly efficient, data-driven agricultural system, where scouting data informs spraying schedules and locations, enabling precise and effective interventions.
The rising costs of fertilizers, pesticides, and herbicides are driving farmers to adopt systems that optimize their usage, with smart technologies reducing waste, saving costs, and improving profitability. Stricter regulations on chemical usage further encourage precision applications to minimize environmental impact, as smart systems help reduce chemical runoff, soil degradation, and greenhouse gas emissions. Increased awareness and education about the benefits of precision agriculture are also fostering adoption. Advanced technologies like AI, machine learning, and IoT automate and enhance agricultural processes, reducing reliance on guesswork and physical effort.
For instance, AI-powered cameras on drones or robots can detect pests or diseases and alert farmers instantly, while integration with variable rate technology (VRT) ensures the precise application of pesticides and fertilizers based on field conditions. As more farming companies embrace precision farming to remain sustainable and competitive, the market for these technologies is expanding rapidly. By improving resource efficiency and minimizing environmental impact, these intelligent solutions play a crucial role in advancing sustainable agriculture and addressing global food security challenges.
The smart crop scouting and smart spraying market is segmented based on the application, and product. Based on the application, the smart crop scouting market is divided into weed detection, disease and damage detection, pest detection, nutrient analysis, others. The smart spraying market is divided into nutrient application, crop protection chemical application, herbicide application. Based on the product, the smart crop scouting market is divided into equipment and software. the smart spraying market is divided into tractor mounted and self-propelled, sprayers, robotic sprayers, drone sprayers.
Based on the application, the smart crop scouting market is divided into weed detection, disease and damage detection, pest detection, nutrient analysis, and others. Among these, the weed detection segment is expected to have the highest growth rate during the forecast period. The increasing prevalence of herbicide-resistant weeds necessitates precise identification and targeted treatment. Smart crop scouting tools, such as AI-powered imaging systems, play a critical role in identifying weed infestations and guiding herbicide applications. Farmers prioritize weed management to prevent crop competition, reduce yield losses, and minimize herbicide costs. This drives the adoption of weed detection technologies. Weed detection systems are increasingly integrated with smart sprayers equipped with Variable Rate Technology (VRT). This combination allows precise application of herbicides only in weed-affected areas, enhancing efficiency and productivity.
Based on the product, the smart crop scouting market is divided into equipment and software. the smart spraying market is divided into tractor-mounted and self-propelled, sprayers, robotic sprayers, and drone sprayers. Among these the tractor-mounted and self-propelled sprayers segment dominates the market. These are widely used in large-scale farming due to their capacity to cover extensive areas. Their ability to spray larger volumes in a single pass reduces the time required for crop protection and nutrient application, critical in high-acreage farming. Compatibility with variable rate technology (VRT) ensures the precise application of chemicals. While drones are gaining popularity, tractor-mounted sprayers remain dominant in regions with traditional farming practices and large fields.
North America, particularly the U.S. and Canada, is a global leader in adopting advanced agricultural technologies, including precision farming tools like smart crop scouting and spraying systems. The region has been quick to embrace innovations like drones, AI, IoT, and automated systems in agriculture, setting a precedent for other regions. As the cost of chemicals (pesticides, herbicides, and fertilizers) increases, North American farmers are increasingly adopting smart technologies to optimize input usage, reduce waste, and improve profitability. Mechanization, including smart spraying systems and drones, helps address labor shortages by reducing the need for manual labor while ensuring precise and efficient farming practices. Partnerships between traditional agricultural businesses and tech companies drive the continuous development of cutting-edge solutions for crop scouting and spraying.
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Report Attribute |
Specifications |
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Market Size Value In 2023 |
USD 4.58 Bn |
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Revenue Forecast In 2031 |
USD 11.47 Bn |
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Growth Rate CAGR |
CAGR of 12.3% from 2024 to 2031 |
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Quantitative Units |
Representation of revenue in US$ Bn and CAGR from 2024 to 2031 |
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Historic Year |
2019 to 2023 |
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Forecast Year |
2024-2031 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
By application, and product |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; The UK; France; Italy; Spain; China; Japan; India; South Korea; Southeast Asia; South Korea; South East Asia |
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Competitive Landscape |
Semios, Bushel Inc., Climate LLC, Cropin Technology Solutions Private Limited, BASF SE, Corteva, DJI, Trimble Inc., AGCO Corporation, Deere & Company, KUBOTA Corporation, AGRIVI, Robert Bosch GmbH, Ag Leader Technology, CNH Industrial N.V., Telus Agriculture & Consumer Goods, Syngenta, Taranis, WEED-IT, Precision AI Inc, HARDI, Ecorobotix SA, BA Pumps & Sprayers, Greeneye Technology, Agridrones Solutions |
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Customization Scope |
Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape. |
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Pricing and Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Global Smart Crop Scouting and Smart Spraying Market- By Application
Global Smart Crop Scouting and Smart Spraying Market – By Product
Global Smart Crop Scouting and Smart Spraying Market – By Region
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
Rest of the Middle East and Africa
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
