According to our (Global Info Research) latest study, the global 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.
The AI fruit and vegetable sorting machine is an intelligent sorting system that integrates artificial intelligence (AI), computer vision, deep learning, near-infrared/hyperspectral imaging, the Internet of Things (IoT), and automated control technologies; it is designed to perform high-speed, precise, and non-destructive quality grading and defect removal during the post-harvest processing of fruits and vegetables. In 2025, global 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 production capacity of AI Fruit and Vegetable Sorting Machine reaches 41,000 units, and the industry's gross profit margin is approximately between 25% and 45%.
The industry chain for AI fruit and vegetable sorting machines encompasses upstream core hardware and algorithm development (including high-resolution industrial cameras, near-infrared/hyperspectral sensors, AI chips, lighting systems, and deep learning models); midstream machine manufacturing and system integration (where intelligent equipment enterprises integrate optics, mechanics, control systems, and AI software into standardized or customized sorting equipment); and the downstream application ecosystem (spanning fruit and vegetable cultivation bases, post-harvest processing centers, cooperatives, export companies, fresh-food e-commerce platforms, and food processing plants, while extending to operations and maintenance services, data platforms, grading standard consulting, and integration with washing, packaging, cold chain, and traceability systems).
Driven by the expanding scale of the global fruit and vegetable industry, rising food quality standards, and increasing labor costs, the market for AI-powered fruit and vegetable sorting machines is growing rapidly. Fruit and vegetable processing enterprises, packing centers, cooperatives, and large-scale plantations are increasingly demanding high-efficiency, high-precision, and automated sorting equipment, thereby driving the transition from traditional manual sorting to intelligent sorting systems. Meanwhile, the maturation of technologies such as computer vision, deep learning, artificial intelligence, high-speed image processing, multispectral/hyperspectral inspection, and robotic control enables these machines to intelligently identify multiple attributes—including size, color, weight, shape, ripeness, sugar content, and internal defects. This significantly enhances sorting accuracy and production efficiency while reducing reliance on manual labor and minimizing product loss. Furthermore, stricter food safety regulations and the rising demands for product consistency and traceability from fresh-food e-commerce, retail chains, and export markets are further propelling the evolution of AI sorting machines toward greater speed, intelligence, multifunctionality, and digitalization.
This report is a detailed and comprehensive analysis for global 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 AI Fruit and Vegetable Sorting Machine market size and forecasts, in consumption value ($ Million), sales quantity (Units), and average selling prices (US$/Unit), 2021-2032
Global AI Fruit and Vegetable Sorting Machine market size and forecasts by region and country, in consumption value ($ Million), sales quantity (Units), and average selling prices (US$/Unit), 2021-2032
Global AI Fruit and Vegetable Sorting Machine market size and forecasts, by Type and by Application, in consumption value ($ Million), sales quantity (Units), and average selling prices (US$/Unit), 2021-2032
Global AI Fruit and Vegetable Sorting Machine market shares of main players, shipments in revenue ($ 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 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 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.
Market Segmentation
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 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)
The content of the study subjects, includes a total of 15 chapters:
Chapter 1, to describe AI Fruit and Vegetable Sorting Machine product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top manufacturers of AI Fruit and Vegetable Sorting Machine, with price, sales quantity, revenue, and global market share of AI Fruit and Vegetable Sorting Machine from 2021 to 2026.
Chapter 3, the 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 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 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 AI Fruit and Vegetable Sorting Machine.
Chapter 14 and 15, to describe AI Fruit and Vegetable Sorting Machine sales channel, distributors, customers, research findings and conclusion.
Summary:
Get latest Market Research Reports on AI Fruit and Vegetable Sorting Machine. Industry analysis & Market Report on AI Fruit and Vegetable Sorting Machine is a syndicated market report, published as Global 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 AI Fruit and Vegetable Sorting Machine market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.