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Global Smart Pest Trap Market Strategic Research Report

Global Smart Pest Trap Market Strategic Research Report
$3,500 USD
Market Research Reports
Strategic Research Report
Global Smart Pest Trap Market
$982025
6.2%CAGR
2032Forecast
Market Research Reports · Global
Market Research Reports Intelligence Series

By Type: Light-Based Attraction, Pheromone-Based Attraction, Color-Based Attraction, Others

By Application: Field Crop Monitoring, Orchard and Plantation Monitoring, Forestry and Grassland Monitoring, Others

Regional Forecast: Asia Pacific, Latin America, MEA, Europe, North America

Key Players: Zhejiang Top Cloud-Agri Technology, Henan Yunfei Technology, Beijing Ecoman Biotech, Chengdu Beyond Technology, Wuhan Chenyun Technology, Ruifeng Technology Group, Shandong Fengtu IoT Technology, Shandong Jingdao Optoelectronic Technology, Shandong Tianhe Environmental Technology, Shandong Wanxiang Environmental Technology, Shandong Jiucheng Intelligent Technology, Henan Zhaodi Electronic Technology, Henan Deshen Agricultural Technology, Ruiou Shidai, Trapview Group, Pessl Instruments / METOS, Semios, Biobest Group, FarmSense, CropVue Technologies

Region: Global
Formats: PDF, Excel, Word & PowerPoint
Base year: 2025 · forecast to 2032
Length: 136 pages
Market size 2025
$98
Million USD
Forecast CAGR
6.2%
2025-2032
Forecast 2032
$149.3
Projected
Regiões
5
Asia Pacific · Latin America · MEA · Europe · North America

Visão geral

Scope of the Report

The global Smart Pest Trap market size is predicted to grow from US$ 98 million in 2025 to US$ 145 million in 2032; it is expected to grow at a CAGR of 6.2% from 2026 to 2032.

A Smart Pest Trap refers to automated pest-monitoring equipment used in agriculture, forestry, orchards, greenhouses and storage environments, which captures or detects pests through light attraction, pheromone attraction, color attraction, sticky panels, camera traps or optical sensors, and uses AI, computer vision or algorithmic models to identify pest species, count insects, analyze population trends and generate warning or forecasting information. The scope includes AI light traps, smart pheromone traps, smart sticky-card monitoring systems, automated camera traps and optical insect sensors, but excludes ordinary sticky cards, pheromone lures, manual traps and insect-killing lamps used mainly for control rather than monitoring. In 2025, global Smart Pest Trap sales reached approximately 19,500 Sets, with an average realized price of 4,900 US$/Set.

Market growth is being driven by the need to replace labor-intensive manual insect sorting and counting, improve the timeliness of pest warnings, reduce unnecessary pesticide applications and connect dispersed field-monitoring sites to unified digital plant-protection platforms. Improvements in industrial cameras, machine-vision algorithms and edge computing are expanding the number of identifiable species and improving recognition under overlapping, damaged or differently oriented insect conditions, while self-cleaning, solar-powered and remote-diagnostic designs reduce field visits and maintenance costs. Government investment in crop-pest monitoring networks, high-standard farmland and forestry monitoring remains an important demand source, particularly in China, while professional farms increasingly value pest-development forecasting rather than simple insect counts.

This report presents a comprehensive overview of the global Smart Pest Trap market, covering market size and forecast, segmentation by product type and application, competitive landscape, leading players and regional and country-level outlook.

Segment by Type

  • Light-Based Attraction
  • Pheromone-Based Attraction
  • Color-Based Attraction
  • Others

Segment by Imaging Structure

  • Conveyor-Belt Imaging
  • Collection-Tray Imaging
  • Adhesive-Panel Imaging

Segment by Insect Handling Method

  • Thermal Killing and Drying
  • Electric-Grid Killing
  • Non-Lethal Collection

Segment by Application

  • Field Crop Monitoring
  • Orchard and Plantation Monitoring
  • Forestry and Grassland Monitoring
  • Others

Who Can Use This Report?

This report is written for decision-makers who need a clear, data-backed view of the global Smart Pest Trap market:

  • Manufacturers, suppliers and solution providers benchmarking their position and planning product, capacity and go-to-market strategy
  • Distributors, channel partners and end users in Field Crop Monitoring, Orchard and Plantation Monitoring, Forestry and Grassland Monitoring evaluating demand and sourcing options
  • Investors, financial analysts and consultants assessing growth opportunities, competitive dynamics and M&A potential
  • Government agencies, industry associations and research institutions tracking industry developments and policy impact

Market snapshot

Global Smart Pest Trap Market Strategic Research Report snapshot, 2025–2032

Source: Market Research Reports
Market size CAGR 6.2%
Regional growth momentum
Market share by segment
Key metrics
Base value
$98
2025
Forecast
$149.3
2032
CAGR
6.2%
2025–2032
Regiões
5
global
Key companies
Zhejiang Top Cloud-Agri TechnologyHenan Yunfei TechnologyBeijing Ecoman BiotechChengdu Beyond TechnologyWuhan Chenyun TechnologyRuifeng Technology GroupShandong Fengtu IoT TechnologyShandong Jingdao Optoelectronic Technology
© MarketResearchReports.comDisclaimer: The actual data may vary in the final report which undergoes verification check post order confirmation.

Segments covered in this report

By Type
Light-Based AttractionPheromone-Based AttractionColor-Based AttractionOthers
By Application
Field Crop MonitoringOrchard and Plantation MonitoringForestry and Grassland MonitoringOthers

Table of contents

Click a chapter to expand
01Executive Summary
02Industry Overview & Forecast
  • 2.1.1 Market Definition and Scope
  • 2.1.2 Market Size and Growth Forecast
  • 2.1.3 Volume Analysis
  • 2.1.4 Segment Outlook by Type
  • 2.1.5 Segment Outlook by Application
  • 2.1.6 Regional Outlook
  • 2.1.7 Structural Developments Shaping the Forecast
  • 2.1.8 Forecast Risks and Sensitivities
03Market Segmentation by Type
  • 3.1 Market Segmentation by Type
  • 3.1.1 Market by Type Overview
  • 3.1.2 Light-Based Attraction
  • 3.1.3 Pheromone-Based Attraction
  • 3.1.4 Color-Based Attraction
  • 3.1.5 Others
  • 3.1.6 Volume Analysis
04Market Segmentation by Application
  • 4.1 Market Segmentation by Application
  • 4.1.1 Market by Application Overview
  • 4.1.2 Field Crop Monitoring
  • 4.1.3 Orchard and Plantation Monitoring
  • 4.1.4 Forestry and Grassland Monitoring
  • 4.1.5 Others
  • 4.1.6 Volume Analysis
05Regional Market Forecast
  • Asia Pacific
  • North America
  • Europe
  • Middle East & Africa
  • Latin America
06Country-Level Market Forecast
  • 6.1 Asia Pacific
  • 6.1.1 China
  • 6.1.2 Japan
  • 6.1.3 Korea
  • 6.1.4 Southeast Asia
  • 6.1.5 India
  • 6.1.6 Australia
  • 6.1.7 Rest of Asia Pacific
  • 6.2 North America
  • 6.2.1 United States
  • 6.2.2 Canada
  • 6.2.3 Mexico
  • 6.2.4 Rest of North America
  • 6.3 Europe
  • 6.3.1 Germany
  • 6.3.2 France
  • 6.3.3 UK
  • 6.3.4 Italy
  • 6.3.5 Russia
  • 6.3.6 Rest of Europe
  • 6.4 Middle East & Africa
  • 6.4.1 Egypt
  • 6.4.2 South Africa
  • 6.4.3 Israel
  • 6.4.4 Turkey
  • 6.4.5 GCC Countries
  • 6.4.6 Rest of Middle East & Africa
  • 6.5 Latin America
  • 6.5.1 Brazil
  • 6.5.2 Rest of Latin America
07Growth Drivers & Inhibitors
  • 7.1 Growth Drivers & Inhibitors
  • 7.1.1 Section Overview
  • 7.1.2 Growth Drivers
  • 7.1.3 Growth Inhibitors
  • 7.1.4 Driver and Inhibitor Impact Assessment
  • 7.1.5 Analyst Perspective
08Key Company Profiles
  • 8.1 Zhejiang Top Cloud-Agri Technology
  • 8.1.1 Company Overview
  • 8.1.2 Key Products & Segments
  • 8.1.3 Financial Performance (2023–2025)
  • 8.1.4 Business Strategy
  • 8.1.5 SWOT Analysis
  • 8.1.6 Strategic Implications (2026–2032)
  • 8.2 Henan Yunfei Technology
  • 8.2.1 Company Overview
  • 8.2.2 Key Products & Segments
  • 8.2.3 Financial Performance (2023–2025)
  • 8.2.4 Business Strategy
  • 8.2.5 SWOT Analysis
  • 8.2.6 Strategic Implications (2026–2032)
  • 8.3 Beijing Ecoman Biotech
  • 8.3.1 Company Overview
  • 8.3.2 Key Products & Segments
  • 8.3.3 Financial Performance (2023–2025)
  • 8.3.4 Business Strategy
  • 8.3.5 SWOT Analysis
  • 8.3.6 Strategic Implications (2026–2032)
  • 8.4 Chengdu Beyond Technology
  • 8.4.1 Company Overview
  • 8.4.2 Key Products & Segments
  • 8.4.3 Financial Performance (2023–2025)
  • 8.4.4 Business Strategy
  • 8.4.5 SWOT Analysis
  • 8.4.6 Strategic Implications (2026–2032)
  • 8.5 Wuhan Chenyun Technology
  • 8.5.1 Company Overview
  • 8.5.2 Key Products & Segments
  • 8.5.3 Financial Performance (2023–2025)
  • 8.5.4 Business Strategy
  • 8.5.5 SWOT Analysis
  • 8.5.6 Strategic Implications (2026–2032)
  • 8.6 Ruifeng Technology Group
  • 8.6.1 Company Overview
  • 8.6.2 Key Products & Segments
  • 8.6.3 Financial Performance (2023–2025)
  • 8.6.4 Business Strategy
  • 8.6.5 SWOT Analysis
  • 8.6.6 Strategic Implications (2026–2032)
  • 8.7 Shandong Fengtu IoT Technology
  • 8.7.1 Company Overview
  • 8.7.2 Key Products & Segments
  • 8.7.3 Financial Performance (2023–2025)
  • 8.7.4 Business Strategy
  • 8.7.5 SWOT Analysis
  • 8.7.6 Strategic Implications (2026–2032)
  • 8.8 Shandong Jingdao Optoelectronic Technology
  • 8.8.1 Company Overview
  • 8.8.2 Key Products & Segments
  • 8.8.3 Financial Performance (2023–2025)
  • 8.8.4 Business Strategy
  • 8.8.5 SWOT Analysis
  • 8.8.6 Strategic Implications (2026–2032)
  • 8.9 Shandong Tianhe Environmental Technology
  • 8.9.1 Company Overview
  • 8.9.2 Key Products & Segments
  • 8.9.3 Financial Performance (2023–2025)
  • 8.9.4 Business Strategy
  • 8.9.5 SWOT Analysis
  • 8.9.6 Strategic Implications (2026–2032)
  • 8.10 Shandong Wanxiang Environmental Technology
  • 8.10.1 Company Overview
  • 8.10.2 Key Products & Segments
  • 8.10.3 Financial Performance (2023–2025)
  • 8.10.4 Business Strategy
  • 8.10.5 SWOT Analysis
  • 8.10.6 Strategic Implications (2026–2032)
  • 8.11 Shandong Jiucheng Intelligent Technology
  • 8.11.1 Company Overview
  • 8.11.2 Key Products & Segments
  • 8.11.3 Financial Performance (2023–2025)
  • 8.11.4 Business Strategy
  • 8.11.5 SWOT Analysis
  • 8.11.6 Strategic Implications (2026–2032)
  • 8.12 Henan Zhaodi Electronic Technology
  • 8.12.1 Company Overview
  • 8.12.2 Key Products & Segments
  • 8.12.3 Financial Performance (2023–2025)
  • 8.12.4 Business Strategy
  • 8.12.5 SWOT Analysis
  • 8.12.6 Strategic Implications (2026–2032)
  • 8.13 Henan Deshen Agricultural Technology
  • 8.13.1 Company Overview
  • 8.13.2 Key Products & Segments
  • 8.13.3 Financial Performance (2023–2025)
  • 8.13.4 Business Strategy
  • 8.13.5 SWOT Analysis
  • 8.13.6 Strategic Implications (2026–2032)
  • 8.14 Ruiou Shidai
  • 8.14.1 Company Overview
  • 8.14.2 Key Products & Segments
  • 8.14.3 Financial Performance (2023–2025)
  • 8.14.4 Business Strategy
  • 8.14.5 SWOT Analysis
  • 8.14.6 Strategic Implications (2026–2032)
  • 8.15 Trapview Group
  • 8.15.1 Company Overview
  • 8.15.2 Key Products & Segments
  • 8.15.3 Financial Performance (2023–2025)
  • 8.15.4 Business Strategy
  • 8.15.5 SWOT Analysis
  • 8.15.6 Strategic Implications (2026–2032)
  • 8.16 Pessl Instruments / METOS
  • 8.16.1 Company Overview
  • 8.16.2 Key Products & Segments
  • 8.16.3 Financial Performance (2023–2025)
  • 8.16.4 Business Strategy
  • 8.16.5 SWOT Analysis
  • 8.16.6 Strategic Implications (2026–2032)
  • 8.17 Semios
  • 8.17.1 Company Overview
  • 8.17.2 Key Products & Segments
  • 8.17.3 Financial Performance (2023–2025)
  • 8.17.4 Business Strategy
  • 8.17.5 SWOT Analysis
  • 8.17.6 Strategic Implications (2026–2032)
  • 8.18 Biobest Group
  • 8.18.1 Company Overview
  • 8.18.2 Key Products & Segments
  • 8.18.3 Financial Performance (2023–2025)
  • 8.18.4 Business Strategy
  • 8.18.5 SWOT Analysis
  • 8.18.6 Strategic Implications (2026–2032)
  • 8.19 FarmSense
  • 8.19.1 Company Overview
  • 8.19.2 Key Products & Segments
  • 8.19.3 Financial Performance (2023–2025)
  • 8.19.4 Business Strategy
  • 8.19.5 SWOT Analysis
  • 8.19.6 Strategic Implications (2026–2032)
  • 8.20 CropVue Technologies
  • 8.20.1 Company Overview
  • 8.20.2 Key Products & Segments
  • 8.20.3 Financial Performance (2023–2025)
  • 8.20.4 Business Strategy
  • 8.20.5 SWOT Analysis
  • 8.20.6 Strategic Implications (2026–2032)
09Competitive Landscape
  • 9.1 Competitive Landscape Overview
  • 9.2 Competitive Intensity Assessment
  • 9.3 Key Player Strategies & Positioning
  • 9.4 Competitive Dynamics & Strategic Outlook
  • 9.4.1 Emerging Competitive Threats
  • 9.4.2 Consolidation vs. Fragmentation Outlook
  • 9.4.3 Competitive Response Matrix
  • 9.4.4 Strategic Recommendations, 2026–2032
10Porter's Five Forces Analysis
  • 10.1 Threat of New Entrants
  • 10.2 Bargaining Power of Buyers
  • 10.3 Bargaining Power of Suppliers
  • 10.4 Threat of Substitutes
  • 10.5 Competitive Rivalry
11PESTLE Analysis
  • 11.1 Political
  • 11.2 Economic
  • 11.3 Social and Demographic
  • 11.4 Technological
  • 11.5 Legal and Regulatory
  • 11.6 Environmental
  • 11.7 Strategic Implications of the PESTLE Assessment
12SWOT Analysis
13Future Trends & Outlook
  • 13.1 Future Trends & Outlook
  • 13.1.1 Trend Summary and Commercial Maturity Assessment
  • 13.1.2 Technology and Innovation Trends
  • 13.1.3 Long-Term Market Outlook
  • 13.1.4 Investment & M&A Activity Outlook
  • 13.1.5 Overall Outlook Assessment

Frequently asked questions

How big is the global Smart Pest Trap market?
The global Smart Pest Trap market is estimated at US$ 98 million in 2025 (base year) and is projected to reach US$ 145 million by 2032.
How fast is the Smart Pest Trap market expected to grow?
The market is expected to grow at a CAGR of 6.2% from 2026 to 2032, expanding from US$ 98 million in 2025 to US$ 145 million in 2032, roughly 1.5 times its base-year value.
What does the Smart Pest Trap market cover?
A Smart Pest Trap refers to automated pest-monitoring equipment used in agriculture, forestry, orchards, greenhouses and storage environments, which captures or detects pests through light attraction, pheromone attraction, color attraction, sticky panels, camera traps or optical sensors, and uses AI, computer vision or algorithmic models to identify pest species, count insects, analyze population trends and generate warning or forecasting information.
How is the Smart Pest Trap market segmented by type?
By type, the market is segmented into Light-Based Attraction, Pheromone-Based Attraction, Color-Based Attraction and Others.
What are the key applications of Smart Pest Trap?
Key applications covered include Field Crop Monitoring, Orchard and Plantation Monitoring, Forestry and Grassland Monitoring and Others.
Which companies are profiled in the Smart Pest Trap market report?
Key players profiled include Zhejiang Top Cloud-Agri Technology, Henan Yunfei Technology, Beijing Ecoman Biotech, Chengdu Beyond Technology, Wuhan Chenyun Technology, Ruifeng Technology Group, Shandong Fengtu IoT Technology and Shandong Jingdao Optoelectronic Technology, among 20 companies covered in total.
What geographies does the Smart Pest Trap market analysis include?
The market is analysed across Asia Pacific, North America, Europe, Middle East & Africa and Latin America, with 20 country-level markets including China, Japan, United States, Canada, Germany, France, Egypt and South Africa.
What are the key demand drivers for Smart Pest Trap?
Market growth is being driven by the need to replace labor-intensive manual insect sorting and counting, improve the timeliness of pest warnings, reduce unnecessary pesticide applications and connect dispersed field-monitoring sites to unified digital plant-protection platforms.
Who should buy the Smart Pest Trap market report?
The report is intended for manufacturers and solution providers, distributors and end users in Field Crop Monitoring, Orchard and Plantation Monitoring and Forestry and Grassland Monitoring, investors and consultants, and government or industry bodies who need market size, segmentation, competitive and regional data for the Smart Pest Trap market.
What license options are available for this report?
The report is available as a Single User License (US$ 3,500, one named user), a Site License (US$ 5,250, up to 10 users) and a Global / Corporate License (US$ 7,000, unlimited users), all delivered in PDF format.

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