Authors:
Avinash Singh, Amit Patil
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Fruit Thinning Robots Market Size & Share 2026-2035
Report ID: GMI10351
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Published Date: July 2026
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Fruit Thinning Robots Market Size
The global fruit thinning robots market was valued at USD 65.7 million in 2025. The market is expected to grow from USD 78.8 million in 2026 to USD 324.5 million in 2035, at a CAGR of 17%, according to latest report published by Global Market Insights Inc.
Fruit Thinning Robots Market Key Takeaways
Market Leader: PeK Agroline led with over 3.6% market share in 2025.
Leading Players: Top 5 players in this market include PeK Agroline, Pellenc SA, Infaco, Aigritec, Matagritech, which collectively held a market share of 10.2% in 2025.
Labor shortages on farms have created farmers’ incentive to start using robots for the purpose of picking fruits and harvesting vegetables. Farmers are increasingly having difficulty hiring seasonal workers, making it more expensive to hire them. Farmers face the greatest difficulties making use of robots with respect to harvesting/picking high-value specialty crops such as strawberries, apples, grapes and soft fruits.
This is due to the manner in which these crops require precise picking or care during pick, which, previously to the advancements made to date with robotics was very difficult to achieve using mechanization. Currently, vision-based robotic systems are now being commercialized to satisfy the need for alternative harvest options.[1]Food and Agriculture Organization of the United Nations, fao.org
Developments in computer vision and artificial intelligence are driving the growth of this industry. Current vision-based robotic platforms combine high quality vision systems, such as high definition imaging sensors and depth measuring capabilities, to identify ripe- ready for harvest fruit, assess cultivation conditions and move through complex orchard and vineyard environments autonomously.
The improvements in AI technology, specifically, the GPU increase in the amount of computational performance available for processing images has allowed the current generation of field robots such as vision guided harvesters- to perform functions that traditionally would require a large computing infrastructure to perform off-site, e.g., at a centrally located farm building. Furthermore, advances in mobile computing have also permitted the current generation of field robots to perform autonomously without the direct supervision of humans.
Precision agriculture prioritizes targeted interventions over broad-area treatment- is increasingly the standard approach among commercial growers seeking to reduce input costs, minimize waste, and meet sustainability requirements. Vision robotics is a natural extension of this approach, enabling robots to make real-time, crop-level decisions that would be impossible with conventional mechanized equipment.
Fruit Thinning Robots Market Trends
Changing innovation and technology transformation are important for the growth of the fruit thinning robots industry.
Fruit Thinning Robots Market Analysis
Based on component type, the fruit thinning robots market is segmented into robots and end effector tools & manipulators. The robots segment accounts for revenue of around USD 45.1 million in the year 2025 and is expected to reach USD 204.8 million by 2035.
Based on the end use, the fruit thinning robots market is bifurcated into individual farmers, agricultural cooperatives, corporate farming enterprises and research institutes & universities. The agricultural cooperatives segments held the largest share, accounting for 30.4% of the market in 2025.
North America Fruit Thinning Robots Market
In 2025, the U.S. dominated the fruit thinning robots market growth in North America, accounting for 82.5% of the share in the region.
Asia Pacific Fruit Thinning Robots Market
Asia Pacific market is expected to grow at 19.3% during the forecast period.
Europe Fruit Thinning Robots Market
Europe fruit thinning robots industry is expected to grow at 17.2% during the forecast period.
Middle East and Africa Fruit Thinning Robots Market
Middle East and Africa market is expected to grow at 10.1% during the forecast period.
Fruit Thinning Robots Market Share
The top companies in the fruit thinning robots industry include PeK Agroline, Pellenc SA, Infaco, Aigritec and Matagritech and collectively hold a share of 10.2% of the market in 2025. These prominent players are proactively involved in strategic endeavors, such as mergers & acquisitions, facility expansions & collaborations, to expand their product portfolios, extend their reach to a broad customer base, and strengthen their market position.
Fruit Thinning Robots Market Companies
Major players operating in the fruit thinning robots industry are:
Aigritec is an agri-robotics company that develops AI-powered autonomous solutions for orchard management, including fruit harvesting and blossom/fruit thinning. Its precision thinning system uses computer vision to identify flower clusters and selectively apply thinning treatments only where needed, helping growers reduce manual labor, improve fruit quality, and optimize yields. The company primarily focuses on apple orchards and sustainable precision agriculture.
Mata Agritech specializing in autonomous fruit-thinning robots for orchards. Its MATA System combines AI, computer vision, sensors, and laser technology to identify and remove excess fruits with high precision, enabling better fruit sizing and yield optimization. The solution addresses labor shortages in fruit farming while improving productivity and profitability for growers by automating the traditionally labor-intensive thinning process..
3.6% market share
Collective market share in 2025 is 10.2%
Fruit Thinning Robots Industry News
The fruit thinning robots market research report includes in-depth coverage of the industry, with estimates & forecasts in terms of revenue (USD Million) volume (Thousand Units) (from 2022 to 2035), for the following segments:
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Market, By Component Type
Market, By Sensing Technology
Market, By Crop Type
Market, By End Use
The above information is provided for the following regions and countries:
Table of Contents
Chapter 1 Methodology & Scope
Chapter 2 Executive Summary
Chapter 3 Industry Insights
Chapter 4 Competitive landscape, 2025
Chapter 5 Market Estimates & Forecast, By Component Type, 2022 - 2035 (USD Million, Thousand Units)
Chapter 6 Market Estimates & Forecast, By Sensing Technology, 2022 - 2035 (USD Million, Thousand Units)
Chapter 7 Market Estimates & Forecast, By Crop Type, 2022 - 2035 (USD Million, Thousand Units)
Chapter 8 Market Estimates & Forecast, By End Use, 2022 - 2035 (USD Million, Thousand Units)
Chapter 9 Market Estimates & Forecast, By Region, 2022 – 2035 (USD Million, Thousand Units)
Chapter 10 Company Profiles
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The companies listed in this report are a curated selection - not the full competitive universe.
Our market revenue calculations use a bottom-up methodology that accounts for all players across all regions - including manufacturers, distributors, and specialists not individually profiled. The profiles section spotlights strategically significant players; it does not define the scope of our market sizing.
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Research methodology, data sources & validation process
This report draws on a structured research process built around direct industry conversations, proprietary modelling, and rigorous cross-validation and not just desk research.
Our 6-step research process
1. Research design & analyst oversight
At GMI, our research methodology is built on a foundation of human expertise, rigorous validation, and complete transparency. Every insight, trend analysis, and forecast in our reports is developed by experienced analysts who understand the nuances of your market.
Our approach integrates extensive primary research through direct engagement with industry participants and experts, complemented by comprehensive secondary research from verified global sources. We apply quantified impact analysis to deliver dependable forecasts, while maintaining complete traceability from original data sources to final insights.
2. Primary research
Primary research forms the backbone of our methodology, contributing nearly 80% to overall insights. It involves direct engagement with industry participants to ensure accuracy and depth in analysis. Our structured interview program covers regional and global markets, with inputs from C-suite executives, directors, and subject matter experts. These interactions provide strategic, operational, and technical perspectives, enabling well-rounded insights and reliable market forecasts.
3. Data mining & market analysis
Data mining is a key part of our research process, contributing nearly 20% to the overall methodology. It involves analysing market structure, identifying industry trends, and assessing macroeconomic factors through revenue share analysis of major players. Relevant data is collected from both paid and unpaid sources to build a reliable database. This information is then integrated to support primary research and market sizing, with validation from key stakeholders such as distributors, manufacturers, and associations.
4. Market sizing
Our market sizing is built on a bottom-up approach, starting with company revenue data gathered directly through primary interviews, alongside production volume figures from manufacturers and installation or deployment statistics. These inputs are then pieced together across regional markets to arrive at a global estimate that stays grounded in actual industry activity.
5. Forecast model & key assumptions
Every forecast includes explicit documentation of:
✓ Key growth drivers and their assumed impact
✓ Restraining factors and mitigation scenarios
✓ Regulatory assumptions and policy change risk
✓ Technology adoption curve parameter
✓ Macroeconomic assumptions (GDP growth, inflation, currency)
✓ Competitive dynamics and market entry/exit expectations
6. Validation & quality assurance
The final stages involve human validation, where domain experts manually review filtered data to identify nuances and contextual errors that automated systems might miss. This expert review adds a critical layer of quality assurance, ensuring data aligns with research objectives and domain-specific standards.
Our triple-layer validation process ensures maximum data reliability:
✓ Statistical Validation
✓ Expert Validation
✓ Market Reality Check
Trust & credibility
Verified data sources
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GMI archive
13,000+ published studies across 30+ industry verticals
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Parameters studied & evaluated
Every data point in this report is validated through primary interviews, true bottom-up modelling, and rigorous cross-checks. Read about our research process →