Global Agricultural Mapping and Imaging Market, By Offering (Hardware, Software, Services), Autonomy (Semi-Autonomous, Manual, Autonomous), Deployment Mode (Cloud, On-Premise), Application (Crop Health Monitoring, Field Mapping, Yield Monitoring, Weather Monitoring and Forecasting, Water Management, Others), End User (Farms, Agro-Tech Companies, Research Institutes, Agrochemical Companies), Region (North America, Europe, Asia-Pacific, Latin America, Middle East and Africa) - Industry Trends and Forecast to 2031.
Agricultural Mapping and Imaging Market Analysis and Size
Agricultural mapping & imaging market is experiencing rapid growth driven by advancements in technology aimed at enhancing farm management efficiency and productivity. Integration of real-time imaging data with IoT and cloud platforms is revolutionizing agricultural practices, allowing for precise monitoring of crop health, soil conditions, and livestock management. This integration facilitates proactive decision-making, optimizing resource allocation and enhancing overall farm productivity.
Key players in the Agricultural mapping & imaging market are actively innovating to develop sophisticated mapping and imaging solutions. These technologies not only provide farmers with detailed insights into field conditions but also enable them to adopt precision farming practices effectively. The market's growth is further propelled by increasing global awareness of sustainable agricultural practices and regulatory initiatives promoting environmental conservation. Despite challenges related to initial investment costs and technology adoption barriers, the market is poised for substantial expansion, driven by the imperative to achieve sustainable agricultural outcomes through advanced mapping and imaging technologies.
Data Bridge Market Research analyses that agricultural mapping & imaging market is expected to reach a value of 21, 954.19 million by 2031 from 8,586.85 million in 2023, growing at a CAGR of 12.6 % during the forecast period 2024 to 2031.
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Report Metric
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Details
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Forecast Period
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2024 to 2031
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Base Year
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2023
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Historic Years
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2022 (Customizable to 2016-2021)
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Quantitative Units
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Revenue in USD Million
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Segments Covered
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Offering (Hardware, Software, Services), Autonomy (Semi-Autonomous, Manual, Autonomous), Deployment Mode (Cloud, On-Premise), Application (Crop Health Monitoring, Field Mapping, Yield Monitoring, Weather Monitoring and Forecasting, Water Management, and Others), End User (Farms, Agro-Tech Companies, Research Institutes, Agrochemical Companies), Region (North America, Europe, Asia-Pacific, Latin America, Middle East and Africa)
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Countries Covered
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U.S., Canada, Italy, France, Germany, Spain, Poland, Netherlands, Romania, Denmark, Belgium, Greece, Hungary, Portugal, Ireland, Austria, Czechia, Sweden, Bulgaria, Finland, Croatia, Lithuania, Slovenia, Latvia, Slovakia, Cyprus, Estonia, Luxembourg, Malta, Non-EU Europe, China, Australia, Japan, South Korea, India , New Zealand, Taiwan, Singapore, Malaysia, Thailand, Vietnam, Indonesia, Philippines, rest of Asia-Pacific, Brazil, Argentina, Mexico, Saudi Arabia, South Africa, Egypt, Bahrain, Oman, Israel, Kuwait, Qatar, U.A.E.
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Market Players Covered
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Yara, AGCO Corporation, Corteva, CNH Industrial N.V., Trimble Inc., Syngenta Crop Protection AG, Bayer AG, Raven Industries, Inc., DJI, Cargill, Incorporated, YANMAR HOLDINGS CO., LTD., Yamaha Motor Corporation, Semios, FarmWise Labs, Sentera, Esri, METER Group, Inc., Climate LLC., HUMMINGBIRD TECHNOLOGIES LIMITED, HIPHEN, Satellite Imaging Corporation, METER Group, AGRICOLUS, and Climate LLC among others
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Market Definition
Agricultural mapping & imaging refers to the systematic use of Geographic Information Systems (GIS), remote sensing technologies, and imaging techniques to collect, analyse, and visualize data related to agricultural landscapes. These technologies enable farmers, agronomists, and agricultural stakeholders to monitor and manage various aspects of crop cultivation and land use efficiently.
At its core, agricultural mapping involves the creation and updating of detailed maps that depict different agricultural features such as crop types, field boundaries, soil types, and water resources. These maps are generated using satellite imagery, aerial photography, and drone-mounted sensors that capture high-resolution data. By overlaying this spatial information with data on weather patterns, soil health, and vegetation indices, agricultural mapping provides valuable insights into crop growth dynamics, pest infestations, and environmental impacts. This spatial intelligence aids in making informed decisions about irrigation scheduling, fertilizer application, and crop rotation strategies, thereby optimizing agricultural productivity while minimizing resource wastage.
Agricultural Mapping and Imaging Market
This section deals with understanding the market drivers, advantages, opportunities, restraints, and challenges. All of this is discussed in detail below:
Drivers
- Increased Use of Drones, Satellite Imaging, and Advanced Sensors for Detailed and Accurate Agricultural Mapping
The increased use of drones, satellite imaging, and advanced sensors has revolutionized agricultural mapping and imaging by providing detailed and accurate data essential for precision farming. Drones equipped with multispectral and hyperspectral cameras can capture high-resolution images of crops, allowing farmers to monitor plant health, identify pest infestations, and optimize irrigation practices. Satellite imaging offers large-scale coverage and frequent updates, enabling the tracking of crop growth, soil moisture levels, and the impacts of climate change over vast areas. Advanced sensors, integrated with Internet of Things (IoT) technology, provide real-time data on soil conditions, weather patterns, and crop status, facilitating timely decision-making. Together, these technologies enhance productivity, reduce resource wastage, and even promote sustainable agricultural practices, ensuring better yields and environmental stewardship.
- Growing Adoption of Precision Agriculture Techniques
The growing adoption of precision agriculture techniques, supported by advancements in agricultural mapping and imaging technologies, is revolutionizing farming practices. Precision agriculture utilizes detailed data from drones, satellite imaging, and advanced sensors to tailor farming activities such as irrigation, fertilization, and pest management to specific field conditions. As precision agriculture continues to gain traction, the demand for sophisticated mapping and imaging solutions in agriculture is expected to rise, driving innovation and investment in the agricultural mapping & imaging sector.
Opportunities
- Integration of Real-time Imaging Data With IoT and Cloud Platforms for Improved Farm Management
Real-time imaging allows farmers to gather up-to-the-minute data on crop health, soil conditions, and environmental factors. When combined with IoT sensors placed throughout the farm, this data can be continuously monitored and analysed, providing farmers with a comprehensive view of their agricultural operations. This level of detailed and timely information enables more precise decision-making, leading to optimized resource use, reduced waste, and improved crop yields.
Cloud platform plays a crucial role in integration by offering scalable and accessible storage solutions for vast amount of data generated by imaging and IoT devices. These platforms facilitate advanced data analytics and machine learning applications, which can identify patterns and trends that traditional observation methods might miss. For instance, predictive analytics can forecast potential pest outbreaks or irrigation needs, allowing farmers to take pre-emptive actions. This enhances the efficiency and effectiveness of farm management practices and also helps in mitigating risks associated with crop failure and environmental changes.
- Growing Adoption of UAVs for Detailed and Large-Scale Agricultural Mapping and Monitoring
UAVs equipped with advanced imaging technologies, such as multispectral and hyperspectral cameras, LiDAR, and thermal sensors, offer unparalleled capabilities to capture high-resolution data of agricultural fields. This data includes crop health assessments, soil conditions, water management, and pest infestations, providing farmers with precise insights for targeted interventions.
One of the key advantages of UAVs in agricultural mapping is their ability to cover large areas quickly and efficiently, overcoming the limitations of traditional ground-based methods. By autonomously flying over fields, drones can capture data in realtime, allowing farmers to make timely decisions based on up-to-date information. This capability is crucial for optimizing resource allocation, improving crop yields, and minimizing environmental impact through precise application of inputs such as water, fertilizers, and pesticides.
Moreover, UAVs facilitate the integration of data with IoT and cloud platforms, enhancing data analytics and decision support systems for farmers. The combination of UAV-collected imagery with cloud computing enables scalable processing and storage of agricultural data, making it accessible for analysis and actionable insights. This seamless integration supports sustainable farming practices by enabling farmers to monitor crop growth patterns, detect anomalies early, and implement responsive strategies, thereby enhancing overall productivity and profitability.
Restraints/Challenges
- Stringent Regulations Regarding the Security and Privacy of Farm Data
Stringent regulations regarding the security and privacy of farm data have become paramount as agricultural technologies, such as IoT devices and precision farming systems, increasingly digitize farming operations. Governments worldwide are implementing policies to safeguard sensitive agricultural data from cyber threats and unauthorized access. These regulations aim to ensure farmers data rights, protect against data breaches that could compromise production strategies and financial information, and foster trust in digital agricultural technologies
- Poor Connectivity and Internet Access in Rural Areas
Poor connectivity and limited internet access in rural areas present significant challenges for the adoption and effectiveness of agricultural mapping & imaging technologies. These technologies, reliant on real-time data transmission and cloud-based services, often require stable internet connectivity to operate optimally. In areas with poor infrastructure, farmers may face difficulties in accessing timely updates, satellite imagery, and other critical data necessary for precision farming practices. This limitation hampers the seamless integration of mapping and imaging solutions into agricultural operations, impacting the ability to monitor crop health, soil conditions, and weather patterns accurately.
Recent Developments
- In December 2023, Yara India has launched an upgraded version of its FarmCare app, featuring new tools such as "map-my-farm," real-time weather updates, a fertilizer calculator, and a digital leaf colour chart, aimed at providing real-time agricultural solutions to farmers. This development enhances Yara's capabilities in Agricultural Mapping & Imaging by offering precise farm mapping, improved nitrogen assessment, and optimized fertilizer use, thereby empowering farmers and strengthening Yara's position as a leader in digital agriculture
- In April 2019, Yara and IBM have announced a collaboration to create a global digital farming platform that combines Yara's agronomic expertise with IBM's advanced technology. This development enhances Yara's capabilities in Agricultural Mapping & Imaging by enabling the creation of digital twins of fields, providing farmers with actionable insights through advanced analytics, weather data, and satellite images, ultimately optimizing crop yields and sustainability
- In January, AGCO GmbH launched FarmerCore to enhance farmer and dealer engagement by integrating digital and physical elements. Initially starting in select American regions, FarmerCore aimed to offer comprehensive service and support throughout the machinery ownership journey, with plans for global expansion in 2024. This initiative provided 24/7 online access for parts purchasing and support, improving productivity and sustainability for farmers
- In September 2023, AGCO GmbH announced plans to build a 300-acre test farm named “Dakota Smart Farm” in Casselton, North Dakota. The farm, led by AGCO-owned Appareo, aimed to develop precision agriculture technologies and high-value retrofit solutions. The project aimed to optimize crop production, resource utilization, and farm management, benefiting the company by enhancing its technological offerings and market position
Agricultural Mapping and Imaging Market Scope
Agricultural mapping & imaging market is categorized into five notable segments based on offering, autonomy, deployment mode, application and end user.
Offering
- Hardware
- Software
- Services
On the basis of offering, the market is segmented into hardware, software and services.
Autonomy
- Semi-Autonomous
- Manual
- Autonomous
On the basis of autonomy, the market is segmented into semi-autonomous, manual, and autonomous.
Deployment Mode
- Cloud
- On-Premise
On the basis of deployment mode, the market is segmented into cloud and on-premise.
Application
- Crop Health Monitoring
- Field Mapping
- Yield Monitoring
- Weather Monitoring and Forecasting
- Water Management
- Others
On the basis of application, the market is segmented into crop health monitoring, field mapping, yield monitoring, weather monitoring and forecasting, water management and others.
End users
- Farms
- Agro-Tech Companies
- Research Institutes
- Agrochemical Companies
- Others
On the basis of end users, the market is segmented into farms, agro-tech companies, research institutes, agrochemical companies and others.
Agricultural Mapping and Imaging Market Regional Analysis/Insights
Agricultural mapping & imaging market analysed and offering, autonomy, deployment mode, application and end user.
The regions covered in the agricultural mapping & imaging market North America, Europe, Asia-Pacific, Latin America, Middle East and Africa.
Agricultural mapping & imaging market is dominated by North America is expected to dominate the market due to its advanced agricultural practices, extensive adoption of precision farming technologies, robust infrastructure supporting IoT and cloud computing, and significant investments in agricultural research and development. These factors collectively enhance the region's capability to integrate sophisticated mapping and imaging solutions effectively, driving higher adoption rates and market leadership in agricultural technology innovation.
The country section of the report also provides individual market impacting factors and changes in market regulation that impact the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Competitive Landscape and Agricultural Mapping and Imaging Market Share Analysis
Agricultural mapping & imaging market competitive landscape provides details of the competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to global industrial automation market.
Some of the major players operating in the Global Agricultural Mapping & Imaging Market are Yara, AGCO Corporation, Corteva, CNH Industrial N.V., Trimble Inc., Syngenta Crop Protection AG, Bayer AG, Raven Industries, Inc., DJI, Cargill, Incorporated, YANMAR HOLDINGS CO., LTD., Yamaha Motor Co., Ltd., Semios, FarmWise Labs, Sentera, ESRI, METER Group, Inc., Climate LLC., HUMMINGBIRD TECHNOLOGIES LIMITED, HIPHEN, Satellite Imaging Corporation, and AGRICOLUS among others.
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