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Report ID: HC0041
Pages: 178
Base Year: 2023
Format: PDF
Historical Date: 2019-2022
MARKET SCOPE:
The global Pathogen or Plant Disease Detection and Monitoring market is projected to grow significantly, registering a CAGR of 10.2% during the forecast period (2024 – 2032).
Pathogen or plant disease detection and monitoring refer to the processes and technologies employed to identify, analyze, and track the presence of pathogens (disease-causing microorganisms) or diseases affecting plants in agricultural or natural environments. The goal is to detect the onset of diseases early, monitor their progression, and implement effective control measures to minimize their impact on crops. Growing awareness of environmental impacts encourages sustainable farming practices, including disease monitoring to minimize chemical use. Increasing availability and affordability of advanced technologies contribute to the demand for more efficient disease detection methods. Ongoing research in plant pathology and technological innovation drive the development of new and improved detection methods. Increasing consumer demand for sustainably produced, disease-free crops influence farming practices and monitoring requirements. The adoption of precision agriculture practices emphasizes targeted interventions based on accurate disease detection, optimizing resource use. Growing awareness of environmental impacts encourages sustainable farming practices, including disease monitoring to minimize chemical use.
MARKET OVERVIEW:
Driver: Growing demand for remote sensing for crop health monitoring is driving the market growth.
Remote sensing technologies, including satellites, drones, and sensors, provide a comprehensive view of crop health by capturing high-resolution imagery and data. Digital services leverage these remote sensing capabilities to monitor fields in real-time, allowing for early detection of anomalies and potential signs of plant diseases. Advanced data analytics techniques process the vast amount of data collected through remote sensing. These analytics can identify patterns, anomalies, and trends related to crop health. In the context of pathogen detection, data analytics contribute to the rapid and accurate identification of disease outbreaks. Data analytics, combined with machine learning algorithms, enable the development of predictive models for disease spread. By analyzing historical data, environmental conditions, and crop health indicators, these models can forecast the potential spread of pathogens. Digital services utilize these models to provide proactive recommendations to farmers. Digital services create real-time monitoring platforms that integrate data from various sources, including remote sensing devices and on-ground sensors. These platforms offer a centralized dashboard for farmers, agricultural consultants, and researchers to monitor the health of crops and identify potential disease hotspots.
Opportunities: Precision agriculture integration is anticipated for the market growth in the upcoming years.
Precision agriculture involves the use of technology to optimize field-level management with regards to crop farming. Integrating pathogen detection technologies allows farmers to identify specific areas or crops affected by diseases. Targeted interventions, such as applying pesticides or fungicides only where necessary, reduce the overall use of agrochemicals. By precisely identifying the locations and types of pathogens affecting crops, farmers can optimize the use of resources such as water, fertilizers, and pesticides. This targeted approach ensures that inputs are applied efficiently, reducing waste and lowering production costs. Targeted interventions based on accurate pathogen detection lead to cost savings for farmers. Instead of applying treatments uniformly across entire fields, which may not be necessary, resources are directed specifically to areas requiring attention. This can result in reduced expenses for inputs and labor. Precision agriculture practices, when combined with precise pathogen detection, contribute to environmental sustainability. Minimizing the use of agrochemicals reduces the impact on soil, water, and non-target organisms. This aligns with sustainable farming practices and environmental conservation goals. The reduction in the overall use of agrochemicals contributes to a smaller environmental footprint. Precision agriculture allows farmers to adopt a more ecologically sensitive approach, minimizing the potential negative effects associated with excessive chemical application.
COVID IMPACT:
The COVID – 19 impacts on the Pathogen or Plant Disease Detection and Monitoring market were seen on various fronts that include the major vertical is the agriculture sector. The pandemic highlighted the importance of food security, prompting a renewed focus on agriculture and crop protection. This emphasis may have driven demand for advanced pathogen detection and monitoring solutions to ensure a stable food supply. The need for remote monitoring and precision agriculture may have accelerated the adoption of technology in agriculture, including advanced pathogen detection tools. Farmers and agricultural professionals may seek more efficient and technology-driven solutions. The global response to the pandemic has underscored the importance of research and innovation. This emphasis on scientific advancements may positively impact the development of new and improved pathogen detection technologies. The COVID-19 pandemic prompted a digital transformation in various sectors, including agriculture. Increased digitization and data-driven approaches in farming practices may lead to a higher demand for smart and connected pathogen detection tools. Government initiatives to support agriculture and enhance food security, which were amplified during the pandemic, might contribute to increased funding for research and development in pathogen detection technologies. Restrictions on movement and social distancing measures may have accelerated the adoption of remote monitoring solutions. Diagnostic tools that allow for remote disease detection and monitoring could see increased interest.
SEGMENTATION ANALYSIS:
The diagnostic kits segment is anticipated to grow significantly during the forecast period
Diagnostic kits offer the advantage of rapid and accurate detection of pathogens or plant diseases. This is essential for timely intervention and control measures to prevent the spread of diseases in agricultural crops. The market for diagnostic kits encompasses a diverse range of technologies, including molecular diagnostics (e.g., PCR-based kits), immunoassays (e.g., ELISA kits), and biosensor-based kits. The choice of diagnostic kit often depends on the specific requirements of the user and the characteristics of the target pathogen. Molecular diagnostic kits, such as Polymerase Chain Reaction (PCR) kits, have gained popularity for their high sensitivity and specificity. These kits enable the detection of pathogens at the molecular level, providing precise information about the presence of specific DNA or RNA sequences. Immunoassay-based diagnostic kits, including Enzyme-Linked Immunosorbent Assay (ELISA) kits, are widely used for the detection of proteins associated with plant pathogens. These kits are valuable for their simplicity and cost-effectiveness. The development of point-of-care diagnostic kits allows for on-site testing, providing farmers and agricultural professionals with immediate results. This can aid in quick decision-making and early implementation of disease management strategies.
REGIONAL ANALYSIS:
The Asia Pacific region is set to witness significant growth during the forecast period.
The Asia Pacific region is a major contributor to global agriculture, and the health of crops is crucial for food security. The need to detect and monitor plant diseases is high to ensure sustainable agricultural practices. Increasing awareness among farmers and agricultural stakeholders about the impact of plant diseases on crop yields has led to a greater demand for advanced detection and monitoring solutions in the region. Government initiatives and support for modernizing agriculture and ensuring food security have driven investments in technologies related to pathogen and plant disease detection. These initiatives may include funding for research and the adoption of innovative solutions. Advances in technology, including the development of sophisticated sensors, imaging systems, and molecular diagnostic tools, have contributed to more accurate and efficient methods for detecting and monitoring plant diseases. The adoption of precision agriculture practices in the Asia Pacific region has led to an increased focus on targeted and precise disease detection. Technologies that integrate with precision agriculture systems are gaining traction. Ongoing research and development activities in the field of plant pathology and diagnostics contribute to the introduction of new and improved detection and monitoring technologies. This fosters market growth as farmers seek cutting-edge solutions. Collaborations between local agricultural agencies, research institutions, and international organizations have facilitated knowledge transfer and the adoption of best practices in disease detection and monitoring. The Asia Pacific region is characterized by diverse crops and agro-climatic zones. The variability in crops and environmental conditions necessitates a range of detection and monitoring solutions tailored to different agricultural contexts.
COMPETITIVE ANALYSIS
The global Pathogen or Plant Disease Detection and Monitoring market is reasonably competitive with mergers, acquisitions, and product launches. See some of the major key players in the market.
Scope of the Report
** In – depth qualitative analysis will be provided in the final report subject to market
Primary and Secondary Research
In order to understand the market in detail we conduct primary and secondary research. We collect as much information as we can from the market experts through primary research. We contact the experts from both demand and supply side and conduct interviews to understand the actual market scenario. In secondary research, we study and gather the data from various secondary sources such as company annual reports, press releases, whitepapers, paid databases, journals, and many other online sources. With the help of the primary interviews, we validate the data collected from secondary sources and get a deep understanding on the subject matter. Post this our team uses statistical tools to analyses the data to arrive at a conclusion and draft it in presentable manner.
Market Size Estimations
Understanding and presenting the data collected is a crucial task. Market sizing is a critical part of the data analysis and this task is performed by using Top-down and bottom-up approaches. In this process, we place different data points, market information and industry trends at a suitable space. This placement helps us presume the estimated & forecast values for coming few years. We use several mathematical and statistical models to estimate the market sizes of different countries and segments. Each of this is further added up to outline the total market. These approaches are individually done on regional/country and segment level.
Data Triangulation
As we arrive at the total market sizes, the market is again broken down into segments and subsegments. This process is called as data triangulation and is implementable wherever applicable. This step not only helps us conclude the overall market engineering process, but also gives an assurance on accuracy of the data generated. The data is triangulated based on studying the market trends, various growth factors, and aspects of both demand and supply side.