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The global hyperspectral imaging in agriculture market is witnessing significant growth due to the increasing focus on precision agriculture globally. As the global demand for food increases, growers need to adopt better methods to maximize their yields. This technology offers a variety of solutions to the agriculture industry, such as pathogen detection, crop stress detection, and monitoring. With improved technological advancements and greater adoption, hyperspectral imaging will help drive the global precision agriculture market. For instance,
Increased Crop Failure Incidents in Conventional Farming Become One of the Major Driving Factors
Crop failure is a reduction in agricultural productivity compared to expectations. Crop failure causes many problems and mainly disrupts the supply chain. For farmers, the projected yield is not attained and large-scale crop failure affects the economy. Crop failure occurs for various reasons, such as unfavorable climatic conditions, poor agricultural practices, unpredictable weather, pests, and diseases.
Increasing large-scale crop failures worldwide are expected to drive the global hyperspectral imaging in agriculture market. Like hyperspectral imaging, crop health can be well maintained through continuous monitoring and detection of pathogens and pests present in the cropland. With the availability of information on crop health, appropriate measures can be taken to maintain and improve crop health while reducing the risk of crop failure, thereby boosting market growth.
As per a survey by the Alan Turing Institute, there is a growing demand for food despite the increasing impact of climate change. Around 40% of the world’s crops are lost to pests alone.
High Cost of Equipment hinders Growth of the Market
The cost of the device plays a vital role in the development and adoption of any technological device. In agriculture, technological solutions are mainly used to increase productivity and reduce the risk of crop failure. Hyperspectral imaging is a technology used in many industries. In agriculture, the adoption of this technology is low and one of the reasons for the low adoption of hyperspectral imaging is the high cost of equipment.
Hyperspectral imagers belong to both the hardware segment and the software segment. Hardware devices include cameras, sensors, scanners, and image processors. As the technology is relatively new and provides many solutions for the agricultural industry, equipment costs are high. This can create a major barrier to technology adoption, especially in developing countries where farmers do not have the capital to spend on these technologies. Therefore, the high cost of hyperspectral imaging equipment may limit the market growth.
Rising Emphasis on Precision Farming Creates Great Opportunity for Market Players
Developing advanced technology tools for agriculture is essential to help farmers make decisions related to resource management and crop health. Hyperspectral imaging solutions have enabled many advances in precision agriculture, which requires more than basic RGB information. Additionally, hyperspectral imaging in precision agriculture can help farmers make more efficient use of resources such as pesticides and herbicides while providing information about the current growth stage and health of the crop.
Regardless of the data source, the goal of precision agriculture is to help farmers run their businesses efficiently. This support comes in many forms, but the result is often a reduction in the resources required. The development and increased adoption of hyperspectral imaging solutions in the agricultural sector is set to fuel a significant increase in precision agriculture.
By Product | By Application | By Geography |
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The report covers the following key insights:
By product, the market is categorized into image processor, camera, artificial light source, and others.
The camera segment holds a significant market share. Cameras are the main equipment needed to perform hyperspectral imaging in the agricultural sector. Hyperspectral imaging cameras play an important role as it records plant characteristics to measure plant stress levels. They can mainly scan the visible, ultraviolet, and near-infrared spectral bands. These cameras measure the microscopic characteristics of plants, providing excellent image quality and low distortion.
By application, the market is segmented into yield estimation, crop disease monitoring, impurity detection, stress detection, vegetation mapping, and others.
The stress detection segment accounts for the largest share of the market. The capability of hyperspectral imaging to offer important data on the condition and health of crops depends on the interaction between plant leaves and electromagnetic radiation (EMR). Additionally, drought stress is vital in predicting crop yield and ultimate success. The early detection of crop water stress allows growers to target specific irrigation areas, saving energy, water, and time.
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By geography, the market has been studied across Europe, North America, Asia Pacific, South America, and the Middle East & Africa.
North America accounted for the largest market share in the global hyperspectral imaging in agriculture market in 2023. The regional market growth is due to the high-tech developments and the potential for incorporating high-investment equipment in the agriculture industry. Hyperspectral imaging can increase agricultural productivity in North America through continuous monitoring of plant health from a large number of hyperspectral imaging suppliers in agriculture. For instance,
Europe is the second largest market for hyperspectral imaging in agriculture. Since 2010, Europe has increased its technological capabilities as have other continents. Due to technological advances, this area is experiencing steady growth, especially in countries such as Germany and France.
Countries in the Asia Pacific region are investing in digitizing their agricultural sectors to increase agricultural productivity and efficiency through the region's rapid technological development.
China is one of the largest countries in the world and has the largest population. Due to the large population, the country's food demand is also high. As China is a developing country with a serious shortage of arable land, Chinese agriculture has always used a lot of labor. India is the second most populous country in the world and 40% of its population is employed in agriculture.
The global hyperspectral imaging in agriculture market is fragmented, with a large number of group and standalone providers. In the U.S., the top 5 players account for only around 27% of the market.
The report includes the profiles of the following key players:
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