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市場調查報告書
商品編碼
1841776
精準害蟲管理市場-全球產業規模、佔有率、趨勢、機會和預測(按技術、解決方案、應用、地區和競爭細分,2020-2030 年)Precision Pest Management Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Technology, By Solution, By Application, By Region and Competition, 2020-2030F |
2024 年全球精準病蟲害管理市場價值為 21.7 億美元,預計到 2030 年將達到 52.2 億美元,預測期內的複合年成長率為 15.75%。全球精準病蟲害管理市場正經歷顯著成長,這得益於全球人口健康意識的增強以及對無農藥食品的需求不斷成長。精準病蟲害管理是一種用於農業領域監測作物生產的先進技術。此外,物聯網設備在農業領域的日益普及以及精準病蟲害管理帶來的大幅成本節約預計將在預測期內為市場成長創造豐厚的機會。此外,提高作物品質和最大限度地減少病蟲害防治對資源的負面影響將在預測期內促進市場成長。
市場概況 | |
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預測期 | 2026-2030 |
2024年市場規模 | 21.7億美元 |
2030年市場規模 | 52.2億美元 |
2025-2030年複合年成長率 | 15.75% |
成長最快的領域 | 軟體 |
最大的市場 | 北美洲 |
同樣,對減少病蟲害管理帶來的潛在環境問題的需求日益成長,也將促進市場的成長。這促使許多旨在實現有效病蟲害管理的新產品上市。例如,2021年10月,洋馬公司推出了YV01自主噴灑機器人,該機器人是與歐洲葡萄園合作開發的。這是一款自主噴灑機器人,可以徹底改變葡萄園的運作方式。機器人採用先進的噴灑系統,有助於確保向葡萄藤噴灑精確數量的液滴,這意味著所需的噴灑液更少。
日益成長的糧食安全需求
日益升級的阻力與舉證責任
數位害蟲情報:從監控到“例外噴灑”
Global Precision Pest Management Market was valued at USD 2.17 billion in 2024 and is expected to reach USD 5.22 billion by 2030 with a CAGR of 15.75% during the forecast period. The global market for Precision Pest Management is experiencing significant growth, driven by the rising demand for pesticide-free food owing to growing health-conscious population worldwide. Precision pest management is an advanced technology used in the agriculture field for monitoring crop production. Also, the growing adoption of internet of things devices in agricultural fields and substantial cost savings associated with precision pest management are expected to create lucrative opportunities for market growth during the forecast period. Also, enhancing the quality of crops and minimizing the negative impacts of pest control on resources will boost the growth of the market in the forecasted period.
Market Overview | |
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Forecast Period | 2026-2030 |
Market Size 2024 | USD 2.17 Billion |
Market Size 2030 | USD 5.22 Billion |
CAGR 2025-2030 | 15.75% |
Fastest Growing Segment | Software |
Largest Market | North America |
Similarly, the growing demand for reduced potential environmental problems from pest management will enhance the growth of the market. This has led to a lot of new product launches for bringing about effective pest management. For instance, In October 2021, Yanmar launched the YV01 autonomous spraying robot, which was developed in cooperation with European vineyards. This is an autonomous spraying robot which can transform the way vineyards operate. This robot uses an advanced spraying system that helps in ensuring that the vines are precisely sprayed with the exact number of droplets which means fewer spraying fluids are required.
Key Market Drivers
Growing Food Security Needs
Governments are under pressure to secure reliable food supplies while cutting waste, which pushes rapid adoption of precision pest management (PPM)tools that use sensors, models, variable-rate applicators, and decision support to hit the right pest at the right time and dose. Public agencies repeatedly flag how large the problem is: the FAO estimates up to 40% of global crop production is lost to plant pests and diseases each year, costing the world over USD 220 billion (and ~USD 70 billion from invasive insects alone). These are precisely the losses PPM seeks to shrink through earlier detection (e.g., ground sensors, pheromone traps with machine vision), spatially targeted controls (UAV/drone maps to treat only hot spots), and resistance-aware rotations.
At the same time, climate change is expanding pest ranges and volatility; the World Bank's climate-smart agriculture agenda specifically highlights the need to reduce vulnerability to droughts, pests, and diseases with data-driven practices, reinforcing public investment in surveillance and precision interventions. FAO and national plant-protection services also emphasize prevention-biosecurity, rapid identification, and containment-areas where digital scouting and analytics markedly raise success rates. As ministries of agriculture set yield-stability targets and food-price controls become politically salient, PPM delivers measurable, budget-friendly wins: fewer blanket sprays, lower residue risk, and steadier output. Expect continued deployment of risk maps, predictive phenology models, "spray-by-prescription" tools, and autonomous scouting robots as public programs seek demonstrable reductions in avoidable losses.
Key Market Challenges
Growing Escalating Resistance and Evidence Burden
PPM promises fewer chemicals used more intelligently, but resistance dynamics remain a stubborn headwind. Decades of broad-spectrum applications have selected resistant weeds, insects, and pathogens; regulators now require explicit resistance-management elements on labels and in stewardship programs. The U.S. EPA's resistance guidance underscores multi-element plans (rotation of modes of action, monitoring, education), yet operationalizing these plans at farm scale still hinges on reliable local data-trap counts, genotype/phenotype info, and treatment histories-which are often incomplete or siloed. In many regions, baseline monitoring infrastructure is thin, so vendors must build evidence networks field by field. Meanwhile, climate variability can trigger abrupt pest outbreaks or new incursions, forcing emergency use patterns that unintentionally accelerate resistance. Public agencies are pushing prevention and integrated pest management, but growers need decision tools that are trustworthy during fast-moving seasons; producing, validating, and updating those algorithms requires costly partnerships with extension services and national plant-protection organizations. Add the regulatory demand for documentation (who sprayed what, when, where, and why) and post-application verification, and the evidence burden for PPM providers rises. Without robust data pipelines (from remote sensing to ground truth) and clear economic incentives, some farmers default to calendar spraying, perpetuating the very resistance cycle PPM seeks to break. Taming resistance therefore depends not only on clever analytics, but also on public-private surveillance grids, shared data standards, and practical stewardship that growers can execute under real-world time pressure.
Key Market Trends
Digital Pest Intelligence: From Surveillance to "Spray by Exception"
National and international bodies are strengthening surveillance and early-warning systems, and growers are plugging into those feeds with field-level telemetry. FAO and IPPC initiatives emphasize prevention and rapid response; pairing that with on-farm IoT (spore traps, computer-vision traps, canopy sensors) and satellite/UAV imagery enables "spray by exception"-treating only verified hotspots at precisely timed windows. Governments' climate-smart programs prioritize resilience to pests and diseases, which has catalyzed funding for analytics platforms that fuse weather, pest phenology, and crop stage into actionable thresholds. As pesticide-use reduction metrics are reported annually (EU) and resistance-management plans become a regulatory norm (U.S.), platforms that automatically log scouting evidence, recommendations, and application maps help growers prove compliance while cutting inputs. Expect closer coupling of public extension advisories with farm software (API feeds of alerts), plus machine-learning models retrained on extension/inspection outcomes. Over the medium term, standardized data models and audit trails should make it easier for exporters to demonstrate due diligence to border inspectors, shortening time to market and lowering rejection risks. The direction is clear: more sensors, tighter feedback loops, and verified decisions that governments and buyers can trust.
In this report, the Global Precision Pest Management Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies presents in the Global Precision Pest Management Market.
Global Precision Pest Management Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report: