According to our (Global Info Research) latest study, the global Automatic AI Fruit and Vegetable Sorting Machine market size was valued at US$ 665 million in 2025 and is forecast to a readjusted size of US$ 1029 million by 2032 with a CAGR of 6.3% during review period.
Automated AI fruit and vegetable sorting machines are intelligent systems that utilize machine vision, deep learning, spectral detection, sensor fusion, and automatic control technologies to continuously inspect, identify, grade, and reject fruits, vegetables, and other agricultural produce. These machines typically employ industrial cameras and near-infrared or hyperspectral sensors to capture data on attributes such as color, size, shape, surface defects, maturity, and internal quality. AI algorithms then perform feature recognition and grading assessments, while integrated mechanisms—including conveying, weighing, rotating, and air-jet or mechanical ejection systems—sort the products into specific grades or processing channels. In 2025, global Automatic AI Fruit and Vegetable Sorting Machine production reached approximately 30,771 units, with an average global market price of around 21 K US$/Unit.
The upstream segment of the automated AI fruit and vegetable sorting machine industry chain primarily comprises suppliers of core components—such as industrial cameras, light sources, near-infrared and hyperspectral sensors, load cells, AI chips, edge computing modules, servo motors, conveyor belts, pneumatic actuators, controllers, and mechanical structural parts—as well as enterprises specializing in machine vision algorithms, defect recognition models, and grading software development. The midstream segment consists of manufacturers and system integrators responsible for machine design, algorithm training, equipment manufacturing, production line integration, installation and commissioning, and after-sales maintenance, offering customized solutions tailored to specific fruit and vegetable varieties, processing capacities, and grading standards. The downstream segment mainly includes fruit and vegetable cultivation bases, agricultural cooperatives, packaging and sorting centers, food processing enterprises, cold chain logistics centers, supermarket supply chains, and agricultural product export companies.
The market for automated AI fruit and vegetable sorting machines is primarily driven by factors such as agricultural labor shortages, rising labor costs, the growing need for product standardization, and increasingly stringent food quality and safety requirements. Large-scale growers, cooperatives, and processing plants require solutions that enhance sorting efficiency, minimize inconsistencies associated with manual assessment, and enable precise grading based on criteria such as appearance, weight, sugar content, ripeness, and internal defects; such capabilities help maximize the selling price of premium produce, reduce waste, and ensure compliance with retail and export standards. Meanwhile, continuous advancements in machine vision, edge computing, spectral sensors, and deep learning algorithms allow these systems to detect complex defects and adapt to diverse crop varieties and harvest seasons, thereby broadening the scope of commercial application. In the future, automated AI fruit and vegetable sorting machines will develop towards multi-variety compatibility, non-destructive internal quality detection, self-learning models, remote operation and maintenance, and integration with packaging, traceability, and production management systems. However, initial equipment investment, sample data accumulation, algorithm adaptation, and maintenance capabilities will still affect the adoption speed of small and medium-sized users.
Report Scope
This report is a detailed and comprehensive analysis for global Automatic AI Fruit and Vegetable Sorting Machine market. Both quantitative and qualitative analyses are presented by manufacturers, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global Automatic AI Fruit and Vegetable Sorting Machine market size and forecasts, in consumption value ($ Million), sales quantity (Units), and average selling prices (US$/Unit), 2021-2032
Global Automatic AI Fruit and Vegetable Sorting Machine market size and forecasts by region and country, in consumption value ($ Million), sales quantity (Units), and average selling prices (US$/Unit), 2021-2032
Global Automatic AI Fruit and Vegetable Sorting Machine market size and forecasts, by Type and by Application, in consumption value ($ Million), sales quantity (Units), and average selling prices (US$/Unit), 2021-2032
Global Automatic AI Fruit and Vegetable Sorting Machine market shares of main players, shipments in revenue ($ Million), sales quantity (Units), and ASP (US$/Unit), 2021-2026
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Automatic AI Fruit and Vegetable Sorting Machine
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Automatic AI Fruit and Vegetable Sorting Machine market based on the following parameters - company overview, sales quantity, revenue, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include TOMRA, Unitec Group, Maf Roda, Duravant, Bühler Group, Aweta, GREEFA, Hefei Taihe Intelligent Technology, Hefei Meyer Optoelectronic, REEMOON TECHNOLOGY, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Automatic AI Fruit and Vegetable Sorting Machine market is split by Type and by Application. For the period 2021-2032, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.
Market Segmentation
Market segment by Type
Small AI Fruit and Vegetable Sorting Machine
Medium AI Fruit and Vegetable Sorting Machine
Large AI Fruit and Vegetable Sorting Machine
Market segment by Technology
Near-Infrared (NIR) Spectroscopy
Hyperspectral/Multispectral Imaging
Others
Market segment by Application
Fruit and Vegetable Cultivation Bases
Fruit and Vegetable Processing Enterprises
Others
Major players covered
TOMRA
Unitec Group
Maf Roda
Duravant
Bühler Group
Aweta
GREEFA
Hefei Taihe Intelligent Technology
Hefei Meyer Optoelectronic
REEMOON TECHNOLOGY
Ellips
GP Graders
Sorma Group
Raytec Vision
Optimum Sorting
Hefei Mihoshi Intelligent Technology
Easyweigh
Market segment by region, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia)
South America (Brazil, Argentina, Colombia, and Rest of South America)
Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa, and Rest of Middle East & Africa)
Chapter Outline
Chapter 1, to describe Automatic AI Fruit and Vegetable Sorting Machine product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top manufacturers of Automatic AI Fruit and Vegetable Sorting Machine, with price, sales quantity, revenue, and global market share of Automatic AI Fruit and Vegetable Sorting Machine from 2021 to 2026.
Chapter 3, the Automatic AI Fruit and Vegetable Sorting Machine competitive situation, sales quantity, revenue, and global market share of top manufacturers are analyzed emphatically by landscape contrast.
Chapter 4, the Automatic AI Fruit and Vegetable Sorting Machine breakdown data are shown at the regional level, to show the sales quantity, consumption value, and growth by regions, from 2021 to 2032.
Chapter 5 and 6, to segment the sales by Type and by Application, with sales market share and growth rate by Type, by Application, from 2021 to 2032.
Chapter 7, 8, 9, 10 and 11, to break the sales data at the country level, with sales quantity, consumption value, and market share for key countries in the world, from 2021 to 2026.and Automatic AI Fruit and Vegetable Sorting Machine market forecast, by regions, by Type, and by Application, with sales and revenue, from 2027 to 2032.
Chapter 12, market dynamics, drivers, restraints, trends, and Porters Five Forces analysis.
Chapter 13, the key raw materials and key suppliers, and industry chain of Automatic AI Fruit and Vegetable Sorting Machine.
Chapter 14 and 15, to describe Automatic AI Fruit and Vegetable Sorting Machine sales channel, distributors, customers, research findings and conclusion.
Summary:
Get latest Market Research Reports on Automatic AI Fruit and Vegetable Sorting Machine. Industry analysis & Market Report on Automatic AI Fruit and Vegetable Sorting Machine is a syndicated market report, published as Global Automatic AI Fruit and Vegetable Sorting Machine Market 2026 by Manufacturers, Regions, Type and Application, Forecast to 2032. It is complete Research Study and Industry Analysis of Automatic AI Fruit and Vegetable Sorting Machine market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.