Press release
United States AI-Based Pest Management Apps Industry Sector 2025: Key Developements, Future Growth, Market Insights | PrecisionHawk Inc., Rentokil Initial plc, Anticimex Group AB, DeepMind Technologies Limited and EcoPest Labs LLC.
AI-Based Pest Management Apps Industry
United States AI‐Based Pest Management App Market size in 2024: USD 1.09 B, projection USD 3.59 B by 2032, implied CAGR 16.5%
DataM Intelligence has published a new research report on "AI Based Pest Management App Market Size 2025". The report explores comprehensive and insightful Information about various key factors like Regional Growth, Segmentation, CAGR, Business Revenue Status of Top Key Players and Drivers. The purpose of this report is to provide a telescopic view of the current market size by value and volume, opportunities, and development status.
United States: Recent Industry Developments
✅ October 2025: Bayer launched an AI-powered pest detection app integrating satellite imagery and IoT sensors for precision agriculture.
✅ September 2025: Syngenta partnered with tech firms to develop AI algorithms for early pest outbreak prediction and automated response.
✅ August 2025: USDA supported pilot programs deploying AI pest management apps to reduce pesticide usage and enhance crop yield.
Japan: Recent Industry Developments
✅ October 2025: Fujitsu introduced AI-driven pest identification apps tailored for rice and vegetable farmers.
✅ September 2025: Collaborations between agri-tech startups and government agencies accelerated adoption of AI pest control solutions.
✅ August 2025: NEC developed real-time AI analytics platforms integrating pest data from drones and ground sensors.
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Latest M&A and Market Movements
The commercial and residential pest control space has witnessed a record number of M&A deals in 2025, with over 63 transactions to date, emphasizing consolidation and technology integration in pest management services.
Private equity and tech investors continue backing AI-driven pest control startups such as Anticimex, Rentokil Initial, XignalX, and Spotta, fueling expansion of AI-powered monitoring and predictive analytics solutions
Key Players:
Bayer AG, Syngenta AG, BASF SE, FMC Corporation, Taranis Inc., PrecisionHawk Inc., Rentokil Initial plc, Anticimex Group AB, DeepMind Technologies Limited and EcoPest Labs LLC.
Recent Product Launches and Innovations
Jeffs' Brands Ltd officially launched its AI-powered Fort app on Android, completing a multi-platform rollout for household pest identification and customized treatment recommendations based on infestation severity. The app integrates proprietary pest control products, enhancing customer engagement and digital sales channels.
FMC Corporation expanded its AI-driven pest monitoring system used on over 30 million acres, increasing pest species identified and supporting more precise intervention timings, driving better crop protection with IoT and data analytics.
Other notable apps in the market include Farmonaut's ACT advisory platform providing satellite-powered, real-time pest risk analysis, and Trapview's automated pest traps with AI insect counting and forecasting for proactive management.
Growth Forecast Projected:
The Global AI Based Pest Management App Market is anticipated to rise at a considerable rate during the forecast period, between 2025 and 2032. In 2024, the market is growing at a steady rate, and with the rising adoption of strategies by key players, the market is expected to rise over the projected horizon.
Research Process:
Both primary and secondary data sources have been used in the global AI Based Pest Management App Market research report. During the research process, a wide range of industry-affecting factors are examined, including governmental regulations, market conditions, competitive levels, historical data, market situation, technological advancements, upcoming developments, in related businesses, as well as market volatility, prospects, potential barriers, and challenges.
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Key Segments:
By Pest Type: (Insects, Termites, Rodents and Others)
By Application: (Crop Protection, Urban Pest Control, Livestock Protection, Stored Product Protection, Forestry Pest Management and Others)
By Technology: (AI & Machine Learning, IoT-Enabled Pest Monitoring Systems, Computer Vision & Image Recognition, Predictive Analytics for Pest Outbreak Forecasting, Automated Pest Control Solutions and Others)
By End-User: (Independent Growers, Commercial Farmers and Others)
Regional Analysis for Market:
⇥ North America (U.S., Canada, Mexico)
⇥ Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)
⇥ Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)
⇥ South America (Colombia, Brazil, Argentina, Rest of South America)
⇥ Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)
Benefits of the Report:
Chapter 1: Sets the stage by outlining the report's coverage, summarizing key market segments by region, product type, and application. Presents a snapshot of market sizes, growth potential across segments, and anticipated industry evolution both short and long term.
Chapter 2: Highlights pivotal market insights and uncovers the most significant emerging trends driving change within the industry.
Chapter 3: Offers an in-depth look at the competitive landscape among AI Based Pest Management App producers, including revenue shares, strategic moves, and recent mergers and acquisitions.
Chapter 4: Presents comprehensive profiles of the market's key players, delving into details such as revenue, profit margins, product portfolios, and company milestones.
Chapters 5 & 6: Analyze AI Based Pest Management App revenue at both regional and country levels, providing quantitative breakdowns of market sizes, growth opportunities, and development prospects worldwide.
Chapter 7: Focuses on different market segments by type, examining their individual sizes and potential, guiding readers toward high-impact, untapped market areas.
Chapter 8: Explores segmentation by application, evaluating industry growth potential in various downstream markets and pinpointing promising sectors for expansion.
Chapter 9: Provides a thorough review of the industry's supply chain mapping out both upstream and downstream activities.
Chapter 10: Concludes with a summary of the report's key findings and highlights the most critical takeaways for industry stakeholders.
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FAQ's
Q1: What is the current size of the AI Based Pest Management App Market?
A: The AI Based Pest Management App Market stood at US$ 2,495.23 million in 2024 and is set to experience remarkable growth, reaching US$ 8,362.68 million by 2032
Q2: How fast is the AI Based Pest Management App Market growing?
A: The Market is on an impressive growth trajectory, expected to expand at a CAGR of 16.32% from 2025 to 2032
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Industry Trends and Market Outlook
Increasing regulatory focus on eco-friendly pest control methods and rising digitalization in agriculture and facility management fuel adoption of AI-powered pest apps globally.
Integration of AI with IoT, satellite imagery, machine learning, and mobile platforms is pivotal, transforming pest management from reactive to predictive and precision approaches across farming and urban settings.
Power your decisions with real-time competitor tracking, strategic forecasts, and global investment insights all in one place.
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Company Name: DataM Intelligence
Contact Person: Sai Kiran
Email: Sai.k@datamintelligence.com
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DataM Intelligence is a Market Research and Consulting firm that provides end-to-end business solutions to organizations from Research to Consulting. We, at DataM Intelligence, leverage our top trademark trends, insights and developments to emancipate swift and astute solutions to clients like you. We encompass a multitude of syndicate reports and customized reports with a robust methodology.
Our research database features countless statistics and in-depth analyses across a wide range of 6300+ reports in 40+ domains creating business solutions for more than 200+ companies across 50+ countries; catering to the key business research needs that influence the growth trajectory of our vast clientele.
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